GX-XinGao commited on
Commit
019c2de
·
verified ·
1 Parent(s): 01a3698

Initial release v1.0

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-3708/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,61 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: Qwen/Qwen2.5-7B
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: seed-42
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # seed-42
18
+
19
+ This model is a fine-tuned version of [/mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B](https://huggingface.co//mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B) on the overall-v6b-100k dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 5e-05
39
+ - train_batch_size: 2
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 8
44
+ - gradient_accumulation_steps: 2
45
+ - total_train_batch_size: 32
46
+ - total_eval_batch_size: 64
47
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 3.0
51
+
52
+ ### Training results
53
+
54
+
55
+
56
+ ### Framework versions
57
+
58
+ - Transformers 4.55.0
59
+ - Pytorch 2.6.0+cu124
60
+ - Datasets 3.2.0
61
+ - Tokenizers 0.21.0
README.md.backup ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: /mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: seed-42
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # seed-42
18
+
19
+ This model is a fine-tuned version of [/mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B](https://huggingface.co//mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B) on the overall-v6b-100k dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 5e-05
39
+ - train_batch_size: 2
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 8
44
+ - gradient_accumulation_steps: 2
45
+ - total_train_batch_size: 32
46
+ - total_eval_batch_size: 64
47
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 3.0
51
+
52
+ ### Training results
53
+
54
+
55
+
56
+ ### Framework versions
57
+
58
+ - Transformers 4.55.0
59
+ - Pytorch 2.6.0+cu124
60
+ - Datasets 3.2.0
61
+ - Tokenizers 0.21.0
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 6.364819972765516e+18,
4
+ "train_loss": 0.2649726264235014,
5
+ "train_runtime": 208629.7363,
6
+ "train_samples_per_second": 0.569,
7
+ "train_steps_per_second": 0.018
8
+ }
chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ 'System: ' + system_message + '<|endoftext|>' + '
2
+ ' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '<|endoftext|>' + '
3
+ Assistant:' }}{% elif message['role'] == 'assistant' %}{{ content + '<|endoftext|>' + '
4
+ ' }}{% endif %}{% endfor %}
checkpoint-3708/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-3708/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ 'System: ' + system_message + '<|endoftext|>' + '
2
+ ' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '<|endoftext|>' + '
3
+ Assistant:' }}{% elif message['role'] == 'assistant' %}{{ content + '<|endoftext|>' + '
4
+ ' }}{% endif %}{% endfor %}
checkpoint-3708/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention"
41
+ ],
42
+ "max_position_embeddings": 131072,
43
+ "max_window_layers": 28,
44
+ "model_type": "qwen2",
45
+ "num_attention_heads": 28,
46
+ "num_hidden_layers": 28,
47
+ "num_key_value_heads": 4,
48
+ "rms_norm_eps": 1e-06,
49
+ "rope_scaling": null,
50
+ "rope_theta": 1000000.0,
51
+ "sliding_window": null,
52
+ "tie_word_embeddings": false,
53
+ "torch_dtype": "bfloat16",
54
+ "transformers_version": "4.55.0",
55
+ "use_cache": false,
56
+ "use_mrope": false,
57
+ "use_sliding_window": false,
58
+ "vocab_size": 152064
59
+ }
checkpoint-3708/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.55.0"
6
+ }
checkpoint-3708/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3708/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99cfc18248c17cf4247a7e9c232dcb3008b5475c479d18edd496cfcd824bdd7c
3
+ size 4877660776
checkpoint-3708/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2361d86c7cec32642d1e8f3f71efa1e1438d327c026bd797d31994e66060957e
3
+ size 4932751008
checkpoint-3708/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11f094a82831873bb2359b0d0d6380d8fb267848105e2e0b8215a9198850e80f
3
+ size 4330865200
checkpoint-3708/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4917239fa70d1f953df5e58c6cd8f5b4f52a2b2f7f75a4fb9d8e560000a8790f
3
+ size 1089994880
checkpoint-3708/model.safetensors.index.json ADDED
@@ -0,0 +1,347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 333312,
4
+ "total_size": 15231233024
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
345
+ "model.norm.weight": "model-00003-of-00004.safetensors"
346
+ }
347
+ }
checkpoint-3708/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-3708/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-3708/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
checkpoint-3708/trainer_state.json ADDED
@@ -0,0 +1,2624 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 500,
7
+ "global_step": 3708,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008090614886731391,
14
+ "grad_norm": 10.671297597284719,
15
+ "learning_rate": 1.2129380053908356e-06,
16
+ "loss": 2.601,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.016181229773462782,
21
+ "grad_norm": 6.311089864073009,
22
+ "learning_rate": 2.560646900269542e-06,
23
+ "loss": 2.3954,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.024271844660194174,
28
+ "grad_norm": 5.215362734590839,
29
+ "learning_rate": 3.908355795148248e-06,
30
+ "loss": 1.7763,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.032362459546925564,
35
+ "grad_norm": 2.0676790587143836,
36
+ "learning_rate": 5.256064690026954e-06,
37
+ "loss": 1.2086,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.040453074433656956,
42
+ "grad_norm": 1.4206424846718397,
43
+ "learning_rate": 6.60377358490566e-06,
44
+ "loss": 0.8436,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.04854368932038835,
49
+ "grad_norm": 1.5867176039284459,
50
+ "learning_rate": 7.951482479784367e-06,
51
+ "loss": 0.6706,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05663430420711974,
56
+ "grad_norm": 1.2138979784248856,
57
+ "learning_rate": 9.299191374663074e-06,
58
+ "loss": 0.5858,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.06472491909385113,
63
+ "grad_norm": 0.7702442127235006,
64
+ "learning_rate": 1.0646900269541779e-05,
65
+ "loss": 0.5384,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07281553398058252,
70
+ "grad_norm": 1.0114209152057974,
71
+ "learning_rate": 1.1994609164420486e-05,
72
+ "loss": 0.4977,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08090614886731391,
77
+ "grad_norm": 0.5794843568633474,
78
+ "learning_rate": 1.3342318059299191e-05,
79
+ "loss": 0.4639,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.0889967637540453,
84
+ "grad_norm": 0.696228528125689,
85
+ "learning_rate": 1.4690026954177898e-05,
86
+ "loss": 0.4589,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.0970873786407767,
91
+ "grad_norm": 0.7033818455552552,
92
+ "learning_rate": 1.6037735849056604e-05,
93
+ "loss": 0.4511,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10517799352750809,
98
+ "grad_norm": 0.6918266955210028,
99
+ "learning_rate": 1.738544474393531e-05,
100
+ "loss": 0.4259,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11326860841423948,
105
+ "grad_norm": 0.48391302376719975,
106
+ "learning_rate": 1.8733153638814018e-05,
107
+ "loss": 0.4271,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12135922330097088,
112
+ "grad_norm": 0.6600203232524687,
113
+ "learning_rate": 2.0080862533692725e-05,
114
+ "loss": 0.415,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.12944983818770225,
119
+ "grad_norm": 0.6491506270021533,
120
+ "learning_rate": 2.1428571428571428e-05,
121
+ "loss": 0.4047,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.13754045307443366,
126
+ "grad_norm": 1.108358955768956,
127
+ "learning_rate": 2.2776280323450135e-05,
128
+ "loss": 0.3977,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.14563106796116504,
133
+ "grad_norm": 1.0220828997842137,
134
+ "learning_rate": 2.4123989218328842e-05,
135
+ "loss": 0.3972,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.15372168284789645,
140
+ "grad_norm": 0.7866428488585541,
141
+ "learning_rate": 2.547169811320755e-05,
142
+ "loss": 0.3886,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.16181229773462782,
147
+ "grad_norm": 0.7956757749575036,
148
+ "learning_rate": 2.6819407008086256e-05,
149
+ "loss": 0.3881,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.16990291262135923,
154
+ "grad_norm": 0.7154298194551921,
155
+ "learning_rate": 2.8167115902964963e-05,
156
+ "loss": 0.3915,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.1779935275080906,
161
+ "grad_norm": 0.7172238259413939,
162
+ "learning_rate": 2.9514824797843667e-05,
163
+ "loss": 0.384,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.18608414239482202,
168
+ "grad_norm": 0.7995655410192202,
169
+ "learning_rate": 3.086253369272237e-05,
170
+ "loss": 0.3748,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.1941747572815534,
175
+ "grad_norm": 13.800265685156136,
176
+ "learning_rate": 3.221024258760108e-05,
177
+ "loss": 0.3732,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2022653721682848,
182
+ "grad_norm": 0.9742105484202757,
183
+ "learning_rate": 3.355795148247979e-05,
184
+ "loss": 0.3778,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21035598705501618,
189
+ "grad_norm": 0.7304881990540768,
190
+ "learning_rate": 3.490566037735849e-05,
191
+ "loss": 0.3779,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.21844660194174756,
196
+ "grad_norm": 0.6020503863674406,
197
+ "learning_rate": 3.62533692722372e-05,
198
+ "loss": 0.3659,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.22653721682847897,
203
+ "grad_norm": 0.6249460279802084,
204
+ "learning_rate": 3.76010781671159e-05,
205
+ "loss": 0.3678,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.23462783171521034,
210
+ "grad_norm": 0.7546333918045006,
211
+ "learning_rate": 3.894878706199461e-05,
212
+ "loss": 0.3608,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.24271844660194175,
217
+ "grad_norm": 1.0594379228439452,
218
+ "learning_rate": 4.0296495956873316e-05,
219
+ "loss": 0.3623,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.25080906148867316,
224
+ "grad_norm": 0.8968179435463678,
225
+ "learning_rate": 4.164420485175202e-05,
226
+ "loss": 0.361,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2588996763754045,
231
+ "grad_norm": 0.6785334732318974,
232
+ "learning_rate": 4.299191374663073e-05,
233
+ "loss": 0.3587,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.2669902912621359,
238
+ "grad_norm": 0.7864105607470325,
239
+ "learning_rate": 4.433962264150944e-05,
240
+ "loss": 0.3641,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2750809061488673,
245
+ "grad_norm": 0.7520885489880877,
246
+ "learning_rate": 4.5687331536388144e-05,
247
+ "loss": 0.3571,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.28317152103559873,
252
+ "grad_norm": 0.7154271960483066,
253
+ "learning_rate": 4.703504043126685e-05,
254
+ "loss": 0.3564,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.2912621359223301,
259
+ "grad_norm": 0.5540540831665184,
260
+ "learning_rate": 4.838274932614555e-05,
261
+ "loss": 0.3499,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.2993527508090615,
266
+ "grad_norm": 0.8972157863979777,
267
+ "learning_rate": 4.973045822102426e-05,
268
+ "loss": 0.3546,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.3074433656957929,
273
+ "grad_norm": 0.5977035180668759,
274
+ "learning_rate": 4.9999290952604396e-05,
275
+ "loss": 0.358,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3155339805825243,
280
+ "grad_norm": 0.6794119464101197,
281
+ "learning_rate": 4.9996410516491115e-05,
282
+ "loss": 0.3442,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.32362459546925565,
287
+ "grad_norm": 0.6445475083450791,
288
+ "learning_rate": 4.9991314631296585e-05,
289
+ "loss": 0.3504,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.33171521035598706,
294
+ "grad_norm": 0.6254469656785541,
295
+ "learning_rate": 4.9984003748672604e-05,
296
+ "loss": 0.3451,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.33980582524271846,
301
+ "grad_norm": 0.6124809359745962,
302
+ "learning_rate": 4.997447851658774e-05,
303
+ "loss": 0.3373,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3478964401294498,
308
+ "grad_norm": 0.8314626543045377,
309
+ "learning_rate": 4.9962739779269887e-05,
310
+ "loss": 0.3427,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.3559870550161812,
315
+ "grad_norm": 0.7096404483846562,
316
+ "learning_rate": 4.9948788577131414e-05,
317
+ "loss": 0.3402,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.3640776699029126,
322
+ "grad_norm": 0.5010872233529703,
323
+ "learning_rate": 4.993262614667696e-05,
324
+ "loss": 0.3404,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.37216828478964403,
329
+ "grad_norm": 0.7096873040187438,
330
+ "learning_rate": 4.9914253920393884e-05,
331
+ "loss": 0.3374,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3802588996763754,
336
+ "grad_norm": 0.6463889915075135,
337
+ "learning_rate": 4.9893673526625265e-05,
338
+ "loss": 0.3374,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.3883495145631068,
343
+ "grad_norm": 0.698463838389325,
344
+ "learning_rate": 4.987088678942555e-05,
345
+ "loss": 0.338,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.3964401294498382,
350
+ "grad_norm": 0.6798285617884782,
351
+ "learning_rate": 4.984589572839897e-05,
352
+ "loss": 0.3335,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4045307443365696,
357
+ "grad_norm": 0.4599792513564179,
358
+ "learning_rate": 4.9818702558520485e-05,
359
+ "loss": 0.3299,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.41262135922330095,
364
+ "grad_norm": 0.49728635683969147,
365
+ "learning_rate": 4.978930968993946e-05,
366
+ "loss": 0.3388,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.42071197411003236,
371
+ "grad_norm": 0.4217113735156639,
372
+ "learning_rate": 4.9757719727766085e-05,
373
+ "loss": 0.3319,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.42880258899676377,
378
+ "grad_norm": 0.48369122768285383,
379
+ "learning_rate": 4.972393547184046e-05,
380
+ "loss": 0.33,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.4368932038834951,
385
+ "grad_norm": 0.43182058716411714,
386
+ "learning_rate": 4.968795991648446e-05,
387
+ "loss": 0.3252,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4449838187702265,
392
+ "grad_norm": 0.5876386529955178,
393
+ "learning_rate": 4.9649796250236344e-05,
394
+ "loss": 0.324,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.45307443365695793,
399
+ "grad_norm": 0.5486057928498816,
400
+ "learning_rate": 4.960944785556814e-05,
401
+ "loss": 0.3254,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.46116504854368934,
406
+ "grad_norm": 0.4867958049194759,
407
+ "learning_rate": 4.956691830858585e-05,
408
+ "loss": 0.3216,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4692556634304207,
413
+ "grad_norm": 0.4571043410958847,
414
+ "learning_rate": 4.952221137871252e-05,
415
+ "loss": 0.3206,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.4773462783171521,
420
+ "grad_norm": 0.5063667000215466,
421
+ "learning_rate": 4.947533102835413e-05,
422
+ "loss": 0.322,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.4854368932038835,
427
+ "grad_norm": 0.4522556669690265,
428
+ "learning_rate": 4.942628141254843e-05,
429
+ "loss": 0.3257,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.4935275080906149,
434
+ "grad_norm": 0.4321047527271199,
435
+ "learning_rate": 4.937506687859666e-05,
436
+ "loss": 0.3197,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5016181229773463,
441
+ "grad_norm": 0.393401694292632,
442
+ "learning_rate": 4.932169196567824e-05,
443
+ "loss": 0.3209,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5097087378640777,
448
+ "grad_norm": 0.39900307971080384,
449
+ "learning_rate": 4.9266161404448454e-05,
450
+ "loss": 0.3102,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.517799352750809,
455
+ "grad_norm": 0.4716849647042864,
456
+ "learning_rate": 4.920848011661919e-05,
457
+ "loss": 0.3195,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5258899676375405,
462
+ "grad_norm": 0.460323217460504,
463
+ "learning_rate": 4.914865321452274e-05,
464
+ "loss": 0.3151,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5339805825242718,
469
+ "grad_norm": 0.45925505988077353,
470
+ "learning_rate": 4.908668600065862e-05,
471
+ "loss": 0.3151,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5420711974110033,
476
+ "grad_norm": 0.5830461135145422,
477
+ "learning_rate": 4.90225839672237e-05,
478
+ "loss": 0.3216,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5501618122977346,
483
+ "grad_norm": 0.4701717654524378,
484
+ "learning_rate": 4.8956352795625325e-05,
485
+ "loss": 0.3168,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.558252427184466,
490
+ "grad_norm": 0.337481033517792,
491
+ "learning_rate": 4.8887998355977886e-05,
492
+ "loss": 0.313,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5663430420711975,
497
+ "grad_norm": 0.6269962483834282,
498
+ "learning_rate": 4.881752670658244e-05,
499
+ "loss": 0.3132,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.5744336569579288,
504
+ "grad_norm": 0.4662171259348263,
505
+ "learning_rate": 4.87449440933898e-05,
506
+ "loss": 0.314,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.5825242718446602,
511
+ "grad_norm": 0.5290025725406212,
512
+ "learning_rate": 4.867025694944698e-05,
513
+ "loss": 0.3109,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.5906148867313916,
518
+ "grad_norm": 0.43779075196037404,
519
+ "learning_rate": 4.859347189432699e-05,
520
+ "loss": 0.3188,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.598705501618123,
525
+ "grad_norm": 0.5368922851512631,
526
+ "learning_rate": 4.8514595733542144e-05,
527
+ "loss": 0.3053,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6067961165048543,
532
+ "grad_norm": 0.3739446436447005,
533
+ "learning_rate": 4.8433635457940915e-05,
534
+ "loss": 0.3095,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6148867313915858,
539
+ "grad_norm": 0.36805536772795056,
540
+ "learning_rate": 4.8350598243088283e-05,
541
+ "loss": 0.3081,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6229773462783171,
546
+ "grad_norm": 0.6081454922011427,
547
+ "learning_rate": 4.8265491448629804e-05,
548
+ "loss": 0.3096,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6310679611650486,
553
+ "grad_norm": 0.606989309832587,
554
+ "learning_rate": 4.817832261763928e-05,
555
+ "loss": 0.3064,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.63915857605178,
560
+ "grad_norm": 0.374478457061797,
561
+ "learning_rate": 4.8089099475950257e-05,
562
+ "loss": 0.3075,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.6472491909385113,
567
+ "grad_norm": 0.4495226360651449,
568
+ "learning_rate": 4.7997829931471225e-05,
569
+ "loss": 0.3055,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6553398058252428,
574
+ "grad_norm": 0.48869687342847196,
575
+ "learning_rate": 4.7904522073484786e-05,
576
+ "loss": 0.3056,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6634304207119741,
581
+ "grad_norm": 0.4244338878096003,
582
+ "learning_rate": 4.780918417193065e-05,
583
+ "loss": 0.3068,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.6715210355987055,
588
+ "grad_norm": 0.8568600210635637,
589
+ "learning_rate": 4.7711824676672726e-05,
590
+ "loss": 0.311,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.6796116504854369,
595
+ "grad_norm": 0.4818809073072544,
596
+ "learning_rate": 4.76124522167501e-05,
597
+ "loss": 0.3139,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.6877022653721683,
602
+ "grad_norm": 0.5673965426592162,
603
+ "learning_rate": 4.751107559961238e-05,
604
+ "loss": 0.3085,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.6957928802588996,
609
+ "grad_norm": 0.42296772741332755,
610
+ "learning_rate": 4.740770381033894e-05,
611
+ "loss": 0.3129,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7038834951456311,
616
+ "grad_norm": 0.4358296754132214,
617
+ "learning_rate": 4.730234601084268e-05,
618
+ "loss": 0.3058,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7119741100323624,
623
+ "grad_norm": 0.4373965191621123,
624
+ "learning_rate": 4.719501153905793e-05,
625
+ "loss": 0.3025,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7200647249190939,
630
+ "grad_norm": 0.3787352736875979,
631
+ "learning_rate": 4.7085709908112866e-05,
632
+ "loss": 0.3034,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7281553398058253,
637
+ "grad_norm": 0.469843837143792,
638
+ "learning_rate": 4.6974450805486305e-05,
639
+ "loss": 0.303,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7362459546925566,
644
+ "grad_norm": 0.4394456386334091,
645
+ "learning_rate": 4.686124409214917e-05,
646
+ "loss": 0.2975,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7443365695792881,
651
+ "grad_norm": 0.37340718943669743,
652
+ "learning_rate": 4.674609980169042e-05,
653
+ "loss": 0.3002,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7524271844660194,
658
+ "grad_norm": 0.47566576341803307,
659
+ "learning_rate": 4.662902813942784e-05,
660
+ "loss": 0.3051,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7605177993527508,
665
+ "grad_norm": 0.4410622981522137,
666
+ "learning_rate": 4.651003948150349e-05,
667
+ "loss": 0.2962,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.7686084142394822,
672
+ "grad_norm": 0.41727057267800893,
673
+ "learning_rate": 4.638914437396408e-05,
674
+ "loss": 0.2959,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.7766990291262136,
679
+ "grad_norm": 0.3766577031650596,
680
+ "learning_rate": 4.626635353182626e-05,
681
+ "loss": 0.2951,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.7847896440129449,
686
+ "grad_norm": 0.36286446424405566,
687
+ "learning_rate": 4.614167783812694e-05,
688
+ "loss": 0.294,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.7928802588996764,
693
+ "grad_norm": 0.4051751512540439,
694
+ "learning_rate": 4.601512834295874e-05,
695
+ "loss": 0.2944,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8009708737864077,
700
+ "grad_norm": 0.37027627803204927,
701
+ "learning_rate": 4.588671626249057e-05,
702
+ "loss": 0.2952,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8090614886731392,
707
+ "grad_norm": 0.464872048858869,
708
+ "learning_rate": 4.5756452977973585e-05,
709
+ "loss": 0.292,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.8171521035598706,
714
+ "grad_norm": 0.4408350560704109,
715
+ "learning_rate": 4.56243500347324e-05,
716
+ "loss": 0.3009,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.8252427184466019,
721
+ "grad_norm": 0.49398039939609895,
722
+ "learning_rate": 4.549041914114188e-05,
723
+ "loss": 0.2969,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.8333333333333334,
728
+ "grad_norm": 0.5592891850787267,
729
+ "learning_rate": 4.535467216758936e-05,
730
+ "loss": 0.2981,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.8414239482200647,
735
+ "grad_norm": 0.4230495195351826,
736
+ "learning_rate": 4.5217121145422616e-05,
737
+ "loss": 0.2883,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.8495145631067961,
742
+ "grad_norm": 0.33133186454457314,
743
+ "learning_rate": 4.5077778265883477e-05,
744
+ "loss": 0.2927,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8576051779935275,
749
+ "grad_norm": 0.3936509630212508,
750
+ "learning_rate": 4.4936655879027336e-05,
751
+ "loss": 0.2948,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.8656957928802589,
756
+ "grad_norm": 0.4500916019115437,
757
+ "learning_rate": 4.479376649262855e-05,
758
+ "loss": 0.2943,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.8737864077669902,
763
+ "grad_norm": 0.3668748277040676,
764
+ "learning_rate": 4.464912277107185e-05,
765
+ "loss": 0.2928,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.8818770226537217,
770
+ "grad_norm": 0.320494366403153,
771
+ "learning_rate": 4.450273753422992e-05,
772
+ "loss": 0.2909,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.889967637540453,
777
+ "grad_norm": 0.37987923612254676,
778
+ "learning_rate": 4.435462375632711e-05,
779
+ "loss": 0.2964,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.8980582524271845,
784
+ "grad_norm": 0.39981221876873035,
785
+ "learning_rate": 4.420479456478957e-05,
786
+ "loss": 0.2994,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.9061488673139159,
791
+ "grad_norm": 0.3091126654651453,
792
+ "learning_rate": 4.405326323908178e-05,
793
+ "loss": 0.2851,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.9142394822006472,
798
+ "grad_norm": 0.47407567538309503,
799
+ "learning_rate": 4.390004320952947e-05,
800
+ "loss": 0.2914,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.9223300970873787,
805
+ "grad_norm": 0.4473436088105401,
806
+ "learning_rate": 4.374514805612942e-05,
807
+ "loss": 0.2958,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.93042071197411,
812
+ "grad_norm": 0.3335572127939302,
813
+ "learning_rate": 4.358859150734576e-05,
814
+ "loss": 0.2915,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.9385113268608414,
819
+ "grad_norm": 0.4410700993823537,
820
+ "learning_rate": 4.343038743889324e-05,
821
+ "loss": 0.2936,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.9466019417475728,
826
+ "grad_norm": 0.4566532222343424,
827
+ "learning_rate": 4.3270549872507415e-05,
828
+ "loss": 0.2921,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.9546925566343042,
833
+ "grad_norm": 0.34831612960636166,
834
+ "learning_rate": 4.3109092974701895e-05,
835
+ "loss": 0.2961,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.9627831715210357,
840
+ "grad_norm": 0.33970324826345877,
841
+ "learning_rate": 4.2946031055512733e-05,
842
+ "loss": 0.2887,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.970873786407767,
847
+ "grad_norm": 0.46192580192198573,
848
+ "learning_rate": 4.2781378567230145e-05,
849
+ "loss": 0.29,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.9789644012944984,
854
+ "grad_norm": 0.4615119904861507,
855
+ "learning_rate": 4.2615150103117576e-05,
856
+ "loss": 0.2886,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.9870550161812298,
861
+ "grad_norm": 0.2981731488057052,
862
+ "learning_rate": 4.24473603961183e-05,
863
+ "loss": 0.2908,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.9951456310679612,
868
+ "grad_norm": 0.3632890670918485,
869
+ "learning_rate": 4.227802431754961e-05,
870
+ "loss": 0.2924,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.0032362459546926,
875
+ "grad_norm": 0.4150403194043393,
876
+ "learning_rate": 4.210715687578481e-05,
877
+ "loss": 0.2727,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.0113268608414239,
882
+ "grad_norm": 0.34869821901507675,
883
+ "learning_rate": 4.193477321492293e-05,
884
+ "loss": 0.2453,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.0194174757281553,
889
+ "grad_norm": 0.3601010037088075,
890
+ "learning_rate": 4.176088861344657e-05,
891
+ "loss": 0.2414,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.0275080906148868,
896
+ "grad_norm": 0.32325115826296424,
897
+ "learning_rate": 4.158551848286773e-05,
898
+ "loss": 0.2425,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.035598705501618,
903
+ "grad_norm": 0.38691862676257593,
904
+ "learning_rate": 4.140867836636189e-05,
905
+ "loss": 0.247,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.0436893203883495,
910
+ "grad_norm": 0.34882276619380004,
911
+ "learning_rate": 4.1230383937390374e-05,
912
+ "loss": 0.239,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.051779935275081,
917
+ "grad_norm": 0.3951880114595209,
918
+ "learning_rate": 4.1050650998311215e-05,
919
+ "loss": 0.2375,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.0598705501618122,
924
+ "grad_norm": 0.3736593550545292,
925
+ "learning_rate": 4.086949547897862e-05,
926
+ "loss": 0.2479,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.0679611650485437,
931
+ "grad_norm": 0.34774896387912796,
932
+ "learning_rate": 4.068693343533103e-05,
933
+ "loss": 0.2372,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.0760517799352751,
938
+ "grad_norm": 0.3330973525666551,
939
+ "learning_rate": 4.050298104796812e-05,
940
+ "loss": 0.2413,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.0841423948220066,
945
+ "grad_norm": 0.27924340181820345,
946
+ "learning_rate": 4.0317654620716704e-05,
947
+ "loss": 0.2454,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.0922330097087378,
952
+ "grad_norm": 0.3807786754448861,
953
+ "learning_rate": 4.013097057918566e-05,
954
+ "loss": 0.2457,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.1003236245954693,
959
+ "grad_norm": 0.34402611290470836,
960
+ "learning_rate": 3.9942945469310175e-05,
961
+ "loss": 0.2406,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.1084142394822007,
966
+ "grad_norm": 0.3087094208360471,
967
+ "learning_rate": 3.9753595955885264e-05,
968
+ "loss": 0.2403,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.116504854368932,
973
+ "grad_norm": 0.334687554837771,
974
+ "learning_rate": 3.9562938821088705e-05,
975
+ "loss": 0.2443,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.1245954692556634,
980
+ "grad_norm": 0.34101610586326964,
981
+ "learning_rate": 3.9370990962993695e-05,
982
+ "loss": 0.2455,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.132686084142395,
987
+ "grad_norm": 0.36304196735659044,
988
+ "learning_rate": 3.9177769394071086e-05,
989
+ "loss": 0.2423,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.1407766990291262,
994
+ "grad_norm": 0.32455755430896477,
995
+ "learning_rate": 3.898329123968163e-05,
996
+ "loss": 0.2424,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.1488673139158576,
1001
+ "grad_norm": 0.29393617658060145,
1002
+ "learning_rate": 3.87875737365581e-05,
1003
+ "loss": 0.2383,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.156957928802589,
1008
+ "grad_norm": 0.40951987232018516,
1009
+ "learning_rate": 3.8590634231277626e-05,
1010
+ "loss": 0.2605,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.1650485436893203,
1015
+ "grad_norm": 0.3441977909919604,
1016
+ "learning_rate": 3.8392490178724184e-05,
1017
+ "loss": 0.2455,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.1731391585760518,
1022
+ "grad_norm": 0.3112960711261136,
1023
+ "learning_rate": 3.8193159140541645e-05,
1024
+ "loss": 0.2419,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.1812297734627832,
1029
+ "grad_norm": 0.3032973624770194,
1030
+ "learning_rate": 3.7992658783577215e-05,
1031
+ "loss": 0.2422,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.1893203883495145,
1036
+ "grad_norm": 0.29109047481785005,
1037
+ "learning_rate": 3.779100687831563e-05,
1038
+ "loss": 0.2462,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.197411003236246,
1043
+ "grad_norm": 0.2948022665787199,
1044
+ "learning_rate": 3.758822129730415e-05,
1045
+ "loss": 0.245,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.2055016181229774,
1050
+ "grad_norm": 0.31258495126302516,
1051
+ "learning_rate": 3.738432001356851e-05,
1052
+ "loss": 0.2455,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.2135922330097086,
1057
+ "grad_norm": 0.27328969134267245,
1058
+ "learning_rate": 3.7179321099019916e-05,
1059
+ "loss": 0.2369,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.22168284789644,
1064
+ "grad_norm": 0.2847184801501813,
1065
+ "learning_rate": 3.6973242722853365e-05,
1066
+ "loss": 0.2402,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.2297734627831716,
1071
+ "grad_norm": 0.29812191017952583,
1072
+ "learning_rate": 3.6766103149937295e-05,
1073
+ "loss": 0.2427,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.237864077669903,
1078
+ "grad_norm": 0.3017615376479855,
1079
+ "learning_rate": 3.655792073919471e-05,
1080
+ "loss": 0.2363,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.2459546925566343,
1085
+ "grad_norm": 0.27567364203177047,
1086
+ "learning_rate": 3.634871394197607e-05,
1087
+ "loss": 0.2388,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.2540453074433657,
1092
+ "grad_norm": 0.2685513406212581,
1093
+ "learning_rate": 3.6138501300423934e-05,
1094
+ "loss": 0.2378,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.262135922330097,
1099
+ "grad_norm": 0.25546275734682755,
1100
+ "learning_rate": 3.592730144582948e-05,
1101
+ "loss": 0.2341,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.2702265372168284,
1106
+ "grad_norm": 0.2841532225060496,
1107
+ "learning_rate": 3.571513309698131e-05,
1108
+ "loss": 0.2366,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.27831715210356,
1113
+ "grad_norm": 0.30541995269870376,
1114
+ "learning_rate": 3.5502015058506335e-05,
1115
+ "loss": 0.2375,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.2864077669902914,
1120
+ "grad_norm": 0.34844869264740597,
1121
+ "learning_rate": 3.528796621920307e-05,
1122
+ "loss": 0.239,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.2944983818770226,
1127
+ "grad_norm": 0.30708349077357805,
1128
+ "learning_rate": 3.50730055503676e-05,
1129
+ "loss": 0.2356,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.302588996763754,
1134
+ "grad_norm": 0.3175696506236882,
1135
+ "learning_rate": 3.485715210411204e-05,
1136
+ "loss": 0.2358,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.3106796116504853,
1141
+ "grad_norm": 0.29197347345983926,
1142
+ "learning_rate": 3.4640425011676034e-05,
1143
+ "loss": 0.2408,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.3187702265372168,
1148
+ "grad_norm": 0.28169129894596506,
1149
+ "learning_rate": 3.442284348173106e-05,
1150
+ "loss": 0.2395,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.3268608414239482,
1155
+ "grad_norm": 0.3992186155056125,
1156
+ "learning_rate": 3.420442679867796e-05,
1157
+ "loss": 0.2391,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.3349514563106797,
1162
+ "grad_norm": 0.35636813012626095,
1163
+ "learning_rate": 3.398519432093782e-05,
1164
+ "loss": 0.2374,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.343042071197411,
1169
+ "grad_norm": 0.27742962322683806,
1170
+ "learning_rate": 3.376516547923614e-05,
1171
+ "loss": 0.2336,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.3511326860841424,
1176
+ "grad_norm": 0.28660763778902115,
1177
+ "learning_rate": 3.3544359774880714e-05,
1178
+ "loss": 0.2371,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.3592233009708738,
1183
+ "grad_norm": 0.40153445123463827,
1184
+ "learning_rate": 3.3322796778033204e-05,
1185
+ "loss": 0.2376,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.367313915857605,
1190
+ "grad_norm": 0.3035749815074104,
1191
+ "learning_rate": 3.3100496125974624e-05,
1192
+ "loss": 0.2377,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.3754045307443366,
1197
+ "grad_norm": 0.342174636479568,
1198
+ "learning_rate": 3.2877477521364895e-05,
1199
+ "loss": 0.2347,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.383495145631068,
1204
+ "grad_norm": 0.3199103842497454,
1205
+ "learning_rate": 3.2653760730496555e-05,
1206
+ "loss": 0.2297,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.3915857605177995,
1211
+ "grad_norm": 0.27362978201436644,
1212
+ "learning_rate": 3.242936558154285e-05,
1213
+ "loss": 0.2356,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.3996763754045307,
1218
+ "grad_norm": 0.27057113114600895,
1219
+ "learning_rate": 3.2204311962800426e-05,
1220
+ "loss": 0.2322,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.4077669902912622,
1225
+ "grad_norm": 0.26643871030324334,
1226
+ "learning_rate": 3.197861982092651e-05,
1227
+ "loss": 0.2384,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.4158576051779934,
1232
+ "grad_norm": 0.31497718220761595,
1233
+ "learning_rate": 3.175230915917108e-05,
1234
+ "loss": 0.2427,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.4239482200647249,
1239
+ "grad_norm": 0.3267383691103009,
1240
+ "learning_rate": 3.152540003560398e-05,
1241
+ "loss": 0.2417,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.4320388349514563,
1246
+ "grad_norm": 0.29663197558136717,
1247
+ "learning_rate": 3.129791256133712e-05,
1248
+ "loss": 0.2288,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.4401294498381878,
1253
+ "grad_norm": 0.32445565003875587,
1254
+ "learning_rate": 3.106986689874204e-05,
1255
+ "loss": 0.2347,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.448220064724919,
1260
+ "grad_norm": 0.29535887592241783,
1261
+ "learning_rate": 3.0841283259662875e-05,
1262
+ "loss": 0.2385,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.4563106796116505,
1267
+ "grad_norm": 0.2733621998571008,
1268
+ "learning_rate": 3.0612181903625014e-05,
1269
+ "loss": 0.2359,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.4644012944983817,
1274
+ "grad_norm": 0.2698891118245767,
1275
+ "learning_rate": 3.0382583136039444e-05,
1276
+ "loss": 0.2339,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.4724919093851132,
1281
+ "grad_norm": 0.30735748022487547,
1282
+ "learning_rate": 3.015250730640308e-05,
1283
+ "loss": 0.237,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.4805825242718447,
1288
+ "grad_norm": 0.35024703112347744,
1289
+ "learning_rate": 2.9921974806495178e-05,
1290
+ "loss": 0.2301,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.4886731391585761,
1295
+ "grad_norm": 0.27111655738392937,
1296
+ "learning_rate": 2.969100606856998e-05,
1297
+ "loss": 0.2339,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.4967637540453074,
1302
+ "grad_norm": 0.2787522117740128,
1303
+ "learning_rate": 2.9459621563545825e-05,
1304
+ "loss": 0.2385,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.5048543689320388,
1309
+ "grad_norm": 0.2969133211792456,
1310
+ "learning_rate": 2.9227841799190775e-05,
1311
+ "loss": 0.2305,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.51294498381877,
1316
+ "grad_norm": 0.2613286640167969,
1317
+ "learning_rate": 2.8995687318304975e-05,
1318
+ "loss": 0.2328,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.5210355987055015,
1323
+ "grad_norm": 0.27216163489187184,
1324
+ "learning_rate": 2.8763178696899995e-05,
1325
+ "loss": 0.2373,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.529126213592233,
1330
+ "grad_norm": 0.2964461145886047,
1331
+ "learning_rate": 2.853033654237507e-05,
1332
+ "loss": 0.2289,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.5372168284789645,
1337
+ "grad_norm": 0.32949202305010017,
1338
+ "learning_rate": 2.8297181491690756e-05,
1339
+ "loss": 0.23,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.545307443365696,
1344
+ "grad_norm": 0.3071880700004742,
1345
+ "learning_rate": 2.8063734209539773e-05,
1346
+ "loss": 0.2367,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.5533980582524272,
1351
+ "grad_norm": 0.2529468819780906,
1352
+ "learning_rate": 2.783001538651554e-05,
1353
+ "loss": 0.2292,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.5614886731391586,
1358
+ "grad_norm": 0.2773840151703638,
1359
+ "learning_rate": 2.7596045737278336e-05,
1360
+ "loss": 0.2398,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.5695792880258899,
1365
+ "grad_norm": 0.295185746563609,
1366
+ "learning_rate": 2.7361845998719315e-05,
1367
+ "loss": 0.2325,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.5776699029126213,
1372
+ "grad_norm": 0.25593073129115584,
1373
+ "learning_rate": 2.7127436928122612e-05,
1374
+ "loss": 0.2367,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.5857605177993528,
1379
+ "grad_norm": 0.3516341035154705,
1380
+ "learning_rate": 2.6892839301325623e-05,
1381
+ "loss": 0.239,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.5938511326860842,
1386
+ "grad_norm": 0.27153437539635045,
1387
+ "learning_rate": 2.6658073910877603e-05,
1388
+ "loss": 0.2288,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.6019417475728155,
1393
+ "grad_norm": 0.26490849237503283,
1394
+ "learning_rate": 2.6423161564196803e-05,
1395
+ "loss": 0.231,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.610032362459547,
1400
+ "grad_norm": 0.25415769405974487,
1401
+ "learning_rate": 2.6188123081726306e-05,
1402
+ "loss": 0.2341,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.6181229773462782,
1407
+ "grad_norm": 0.2566774871023634,
1408
+ "learning_rate": 2.5952979295088714e-05,
1409
+ "loss": 0.2303,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 1.6262135922330097,
1414
+ "grad_norm": 0.28720215998836357,
1415
+ "learning_rate": 2.57177510452398e-05,
1416
+ "loss": 0.2297,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 1.6343042071197411,
1421
+ "grad_norm": 0.26535154825569424,
1422
+ "learning_rate": 2.5482459180621377e-05,
1423
+ "loss": 0.2336,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 1.6423948220064726,
1428
+ "grad_norm": 0.2348030131858575,
1429
+ "learning_rate": 2.524712455531347e-05,
1430
+ "loss": 0.2283,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 1.650485436893204,
1435
+ "grad_norm": 0.2981340903697484,
1436
+ "learning_rate": 2.501176802718599e-05,
1437
+ "loss": 0.2367,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 1.6585760517799353,
1442
+ "grad_norm": 0.2508609786813777,
1443
+ "learning_rate": 2.4776410456050165e-05,
1444
+ "loss": 0.232,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 1.6666666666666665,
1449
+ "grad_norm": 0.2760175375931361,
1450
+ "learning_rate": 2.4541072701809624e-05,
1451
+ "loss": 0.2348,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 1.674757281553398,
1456
+ "grad_norm": 0.2681609470474934,
1457
+ "learning_rate": 2.4305775622611627e-05,
1458
+ "loss": 0.2285,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 1.6828478964401294,
1463
+ "grad_norm": 0.3323878551187027,
1464
+ "learning_rate": 2.4070540072998372e-05,
1465
+ "loss": 0.2272,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 1.690938511326861,
1470
+ "grad_norm": 0.24794381758629244,
1471
+ "learning_rate": 2.3835386902058637e-05,
1472
+ "loss": 0.2292,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 1.6990291262135924,
1477
+ "grad_norm": 0.26234035679605566,
1478
+ "learning_rate": 2.360033695157995e-05,
1479
+ "loss": 0.2337,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 1.7071197411003236,
1484
+ "grad_norm": 0.3095409200594481,
1485
+ "learning_rate": 2.3365411054201315e-05,
1486
+ "loss": 0.2265,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 1.715210355987055,
1491
+ "grad_norm": 0.24814239367844307,
1492
+ "learning_rate": 2.3130630031566818e-05,
1493
+ "loss": 0.2269,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 1.7233009708737863,
1498
+ "grad_norm": 0.2503027719931105,
1499
+ "learning_rate": 2.2896014692480226e-05,
1500
+ "loss": 0.231,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 1.7313915857605178,
1505
+ "grad_norm": 0.24658598678553392,
1506
+ "learning_rate": 2.266158583106063e-05,
1507
+ "loss": 0.228,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.7394822006472492,
1512
+ "grad_norm": 0.23999491418212948,
1513
+ "learning_rate": 2.2427364224899502e-05,
1514
+ "loss": 0.2289,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 1.7475728155339807,
1519
+ "grad_norm": 0.24294562795428556,
1520
+ "learning_rate": 2.2193370633219115e-05,
1521
+ "loss": 0.2295,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 1.755663430420712,
1526
+ "grad_norm": 0.27195306057038027,
1527
+ "learning_rate": 2.1959625795032664e-05,
1528
+ "loss": 0.2312,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 1.7637540453074434,
1533
+ "grad_norm": 0.31612469238407165,
1534
+ "learning_rate": 2.1726150427306182e-05,
1535
+ "loss": 0.2286,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 1.7718446601941746,
1540
+ "grad_norm": 0.29752263873224494,
1541
+ "learning_rate": 2.1492965223122305e-05,
1542
+ "loss": 0.2267,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 1.779935275080906,
1547
+ "grad_norm": 0.2603667246009949,
1548
+ "learning_rate": 2.126009084984629e-05,
1549
+ "loss": 0.2251,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 1.7880258899676376,
1554
+ "grad_norm": 0.26289071039247,
1555
+ "learning_rate": 2.102754794729426e-05,
1556
+ "loss": 0.2246,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 1.796116504854369,
1561
+ "grad_norm": 0.263903471162293,
1562
+ "learning_rate": 2.079535712590382e-05,
1563
+ "loss": 0.2282,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 1.8042071197411005,
1568
+ "grad_norm": 0.27035700806263924,
1569
+ "learning_rate": 2.056353896490742e-05,
1570
+ "loss": 0.2231,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 1.8122977346278317,
1575
+ "grad_norm": 0.2654192689718002,
1576
+ "learning_rate": 2.0332114010508334e-05,
1577
+ "loss": 0.2268,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 1.820388349514563,
1582
+ "grad_norm": 0.23959916600696418,
1583
+ "learning_rate": 2.010110277405966e-05,
1584
+ "loss": 0.2274,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 1.8284789644012944,
1589
+ "grad_norm": 0.24872872826123787,
1590
+ "learning_rate": 1.9870525730246424e-05,
1591
+ "loss": 0.2293,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 1.8365695792880259,
1596
+ "grad_norm": 0.2645954361424342,
1597
+ "learning_rate": 1.9640403315270824e-05,
1598
+ "loss": 0.2286,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 1.8446601941747574,
1603
+ "grad_norm": 0.24420673184598343,
1604
+ "learning_rate": 1.9410755925041006e-05,
1605
+ "loss": 0.2257,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 1.8527508090614888,
1610
+ "grad_norm": 0.24705849748195569,
1611
+ "learning_rate": 1.918160391336335e-05,
1612
+ "loss": 0.2259,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 1.86084142394822,
1617
+ "grad_norm": 0.2951271763878442,
1618
+ "learning_rate": 1.8952967590138472e-05,
1619
+ "loss": 0.2248,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 1.8689320388349513,
1624
+ "grad_norm": 0.2520418480110052,
1625
+ "learning_rate": 1.8724867219561203e-05,
1626
+ "loss": 0.2287,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 1.8770226537216828,
1631
+ "grad_norm": 0.294901863474176,
1632
+ "learning_rate": 1.8497323018324476e-05,
1633
+ "loss": 0.2252,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 1.8851132686084142,
1638
+ "grad_norm": 0.2620675111989084,
1639
+ "learning_rate": 1.8270355153827598e-05,
1640
+ "loss": 0.2243,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 1.8932038834951457,
1645
+ "grad_norm": 0.21729342901905718,
1646
+ "learning_rate": 1.804398374238872e-05,
1647
+ "loss": 0.2231,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 1.9012944983818771,
1652
+ "grad_norm": 0.26438351131145754,
1653
+ "learning_rate": 1.781822884746196e-05,
1654
+ "loss": 0.2203,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 1.9093851132686084,
1659
+ "grad_norm": 0.22358504292564055,
1660
+ "learning_rate": 1.7593110477859153e-05,
1661
+ "loss": 0.223,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 1.9174757281553398,
1666
+ "grad_norm": 0.24990353950246044,
1667
+ "learning_rate": 1.736864858597645e-05,
1668
+ "loss": 0.2233,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 1.925566343042071,
1673
+ "grad_norm": 0.24537211238465853,
1674
+ "learning_rate": 1.7144863066025955e-05,
1675
+ "loss": 0.2193,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 1.9336569579288025,
1680
+ "grad_norm": 0.2394304662544921,
1681
+ "learning_rate": 1.692177375227242e-05,
1682
+ "loss": 0.2251,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 1.941747572815534,
1687
+ "grad_norm": 0.2785110439501238,
1688
+ "learning_rate": 1.669940041727538e-05,
1689
+ "loss": 0.218,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 1.9498381877022655,
1694
+ "grad_norm": 0.23030205395765063,
1695
+ "learning_rate": 1.6477762770136707e-05,
1696
+ "loss": 0.225,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 1.9579288025889967,
1701
+ "grad_norm": 0.24458486846119534,
1702
+ "learning_rate": 1.625688045475371e-05,
1703
+ "loss": 0.2208,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 1.9660194174757282,
1708
+ "grad_norm": 0.223552780447482,
1709
+ "learning_rate": 1.603677304807815e-05,
1710
+ "loss": 0.2223,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 1.9741100323624594,
1715
+ "grad_norm": 0.23262918496301524,
1716
+ "learning_rate": 1.5817460058381088e-05,
1717
+ "loss": 0.2274,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 1.9822006472491909,
1722
+ "grad_norm": 0.2210251232882193,
1723
+ "learning_rate": 1.5598960923523842e-05,
1724
+ "loss": 0.2248,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 1.9902912621359223,
1729
+ "grad_norm": 0.2543751678692885,
1730
+ "learning_rate": 1.5381295009235262e-05,
1731
+ "loss": 0.2277,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 1.9983818770226538,
1736
+ "grad_norm": 0.2767394174239906,
1737
+ "learning_rate": 1.5164481607395238e-05,
1738
+ "loss": 0.2243,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 2.0064724919093853,
1743
+ "grad_norm": 0.2831027468460383,
1744
+ "learning_rate": 1.4948539934324923e-05,
1745
+ "loss": 0.1818,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 2.0145631067961167,
1750
+ "grad_norm": 0.23514037047255174,
1751
+ "learning_rate": 1.4733489129083534e-05,
1752
+ "loss": 0.1718,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 2.0226537216828477,
1757
+ "grad_norm": 0.23543211368476746,
1758
+ "learning_rate": 1.4519348251772058e-05,
1759
+ "loss": 0.1696,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 2.030744336569579,
1764
+ "grad_norm": 0.24256191701199467,
1765
+ "learning_rate": 1.4306136281843962e-05,
1766
+ "loss": 0.1691,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 2.0388349514563107,
1771
+ "grad_norm": 0.22234069623742508,
1772
+ "learning_rate": 1.4093872116422979e-05,
1773
+ "loss": 0.169,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 2.046925566343042,
1778
+ "grad_norm": 0.23132835680535235,
1779
+ "learning_rate": 1.3882574568628315e-05,
1780
+ "loss": 0.168,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 2.0550161812297736,
1785
+ "grad_norm": 0.23134456189741553,
1786
+ "learning_rate": 1.3672262365907163e-05,
1787
+ "loss": 0.1684,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 2.063106796116505,
1792
+ "grad_norm": 0.22760921973646828,
1793
+ "learning_rate": 1.3462954148374899e-05,
1794
+ "loss": 0.1661,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 2.071197411003236,
1799
+ "grad_norm": 0.21228629003960797,
1800
+ "learning_rate": 1.3254668467163029e-05,
1801
+ "loss": 0.1696,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 2.0792880258899675,
1806
+ "grad_norm": 0.2182291343034792,
1807
+ "learning_rate": 1.3047423782774937e-05,
1808
+ "loss": 0.1649,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 2.087378640776699,
1813
+ "grad_norm": 0.21718735716811796,
1814
+ "learning_rate": 1.2841238463449743e-05,
1815
+ "loss": 0.1719,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 2.0954692556634305,
1820
+ "grad_norm": 0.22472401035201942,
1821
+ "learning_rate": 1.2636130783534319e-05,
1822
+ "loss": 0.1703,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 2.103559870550162,
1827
+ "grad_norm": 0.21069125465698005,
1828
+ "learning_rate": 1.2432118921863604e-05,
1829
+ "loss": 0.168,
1830
+ "step": 2600
1831
+ },
1832
+ {
1833
+ "epoch": 2.1116504854368934,
1834
+ "grad_norm": 0.21446866638864276,
1835
+ "learning_rate": 1.2229220960149431e-05,
1836
+ "loss": 0.1695,
1837
+ "step": 2610
1838
+ },
1839
+ {
1840
+ "epoch": 2.1197411003236244,
1841
+ "grad_norm": 0.21738468937149366,
1842
+ "learning_rate": 1.2027454881377889e-05,
1843
+ "loss": 0.1675,
1844
+ "step": 2620
1845
+ },
1846
+ {
1847
+ "epoch": 2.127831715210356,
1848
+ "grad_norm": 0.22154845083846222,
1849
+ "learning_rate": 1.1826838568215526e-05,
1850
+ "loss": 0.1685,
1851
+ "step": 2630
1852
+ },
1853
+ {
1854
+ "epoch": 2.1359223300970873,
1855
+ "grad_norm": 0.20713221800601425,
1856
+ "learning_rate": 1.1627389801424351e-05,
1857
+ "loss": 0.1706,
1858
+ "step": 2640
1859
+ },
1860
+ {
1861
+ "epoch": 2.144012944983819,
1862
+ "grad_norm": 0.20802282917927592,
1863
+ "learning_rate": 1.1429126258285946e-05,
1864
+ "loss": 0.1661,
1865
+ "step": 2650
1866
+ },
1867
+ {
1868
+ "epoch": 2.1521035598705502,
1869
+ "grad_norm": 0.20646189593102915,
1870
+ "learning_rate": 1.1232065511034696e-05,
1871
+ "loss": 0.1663,
1872
+ "step": 2660
1873
+ },
1874
+ {
1875
+ "epoch": 2.1601941747572817,
1876
+ "grad_norm": 0.21341477579858295,
1877
+ "learning_rate": 1.1036225025300357e-05,
1878
+ "loss": 0.1687,
1879
+ "step": 2670
1880
+ },
1881
+ {
1882
+ "epoch": 2.168284789644013,
1883
+ "grad_norm": 0.21356709357188863,
1884
+ "learning_rate": 1.0841622158560085e-05,
1885
+ "loss": 0.1668,
1886
+ "step": 2680
1887
+ },
1888
+ {
1889
+ "epoch": 2.176375404530744,
1890
+ "grad_norm": 0.20685337347705235,
1891
+ "learning_rate": 1.0648274158599994e-05,
1892
+ "loss": 0.1698,
1893
+ "step": 2690
1894
+ },
1895
+ {
1896
+ "epoch": 2.1844660194174756,
1897
+ "grad_norm": 0.22156407557595678,
1898
+ "learning_rate": 1.0456198161986489e-05,
1899
+ "loss": 0.1753,
1900
+ "step": 2700
1901
+ },
1902
+ {
1903
+ "epoch": 2.192556634304207,
1904
+ "grad_norm": 0.2035462284179136,
1905
+ "learning_rate": 1.0265411192547462e-05,
1906
+ "loss": 0.1718,
1907
+ "step": 2710
1908
+ },
1909
+ {
1910
+ "epoch": 2.2006472491909386,
1911
+ "grad_norm": 0.20189924705262216,
1912
+ "learning_rate": 1.0075930159863416e-05,
1913
+ "loss": 0.1661,
1914
+ "step": 2720
1915
+ },
1916
+ {
1917
+ "epoch": 2.20873786407767,
1918
+ "grad_norm": 0.20956549431298424,
1919
+ "learning_rate": 9.887771857768796e-06,
1920
+ "loss": 0.1683,
1921
+ "step": 2730
1922
+ },
1923
+ {
1924
+ "epoch": 2.2168284789644015,
1925
+ "grad_norm": 0.2140205114087363,
1926
+ "learning_rate": 9.700952962863513e-06,
1927
+ "loss": 0.1701,
1928
+ "step": 2740
1929
+ },
1930
+ {
1931
+ "epoch": 2.2249190938511325,
1932
+ "grad_norm": 0.20398172720239158,
1933
+ "learning_rate": 9.515490033034893e-06,
1934
+ "loss": 0.1667,
1935
+ "step": 2750
1936
+ },
1937
+ {
1938
+ "epoch": 2.233009708737864,
1939
+ "grad_norm": 0.20165594228560696,
1940
+ "learning_rate": 9.331399505990168e-06,
1941
+ "loss": 0.1655,
1942
+ "step": 2760
1943
+ },
1944
+ {
1945
+ "epoch": 2.2411003236245954,
1946
+ "grad_norm": 0.20182970094436348,
1947
+ "learning_rate": 9.148697697799533e-06,
1948
+ "loss": 0.1694,
1949
+ "step": 2770
1950
+ },
1951
+ {
1952
+ "epoch": 2.249190938511327,
1953
+ "grad_norm": 0.2291167648037075,
1954
+ "learning_rate": 8.967400801450105e-06,
1955
+ "loss": 0.1685,
1956
+ "step": 2780
1957
+ },
1958
+ {
1959
+ "epoch": 2.2572815533980584,
1960
+ "grad_norm": 0.20375204743694134,
1961
+ "learning_rate": 8.787524885410678e-06,
1962
+ "loss": 0.1638,
1963
+ "step": 2790
1964
+ },
1965
+ {
1966
+ "epoch": 2.26537216828479,
1967
+ "grad_norm": 0.214007858233087,
1968
+ "learning_rate": 8.60908589220758e-06,
1969
+ "loss": 0.1676,
1970
+ "step": 2800
1971
+ },
1972
+ {
1973
+ "epoch": 2.273462783171521,
1974
+ "grad_norm": 0.2025950468246571,
1975
+ "learning_rate": 8.432099637011693e-06,
1976
+ "loss": 0.1657,
1977
+ "step": 2810
1978
+ },
1979
+ {
1980
+ "epoch": 2.2815533980582523,
1981
+ "grad_norm": 0.21480260045098348,
1982
+ "learning_rate": 8.256581806236704e-06,
1983
+ "loss": 0.1649,
1984
+ "step": 2820
1985
+ },
1986
+ {
1987
+ "epoch": 2.2896440129449838,
1988
+ "grad_norm": 0.2052262400110326,
1989
+ "learning_rate": 8.082547956148873e-06,
1990
+ "loss": 0.1663,
1991
+ "step": 2830
1992
+ },
1993
+ {
1994
+ "epoch": 2.2977346278317152,
1995
+ "grad_norm": 0.20019987270861134,
1996
+ "learning_rate": 7.91001351148819e-06,
1997
+ "loss": 0.1653,
1998
+ "step": 2840
1999
+ },
2000
+ {
2001
+ "epoch": 2.3058252427184467,
2002
+ "grad_norm": 0.207551520801799,
2003
+ "learning_rate": 7.738993764101324e-06,
2004
+ "loss": 0.1677,
2005
+ "step": 2850
2006
+ },
2007
+ {
2008
+ "epoch": 2.313915857605178,
2009
+ "grad_norm": 0.19280865204847908,
2010
+ "learning_rate": 7.569503871586292e-06,
2011
+ "loss": 0.1674,
2012
+ "step": 2860
2013
+ },
2014
+ {
2015
+ "epoch": 2.3220064724919096,
2016
+ "grad_norm": 0.20122645680053192,
2017
+ "learning_rate": 7.401558855949004e-06,
2018
+ "loss": 0.1678,
2019
+ "step": 2870
2020
+ },
2021
+ {
2022
+ "epoch": 2.3300970873786406,
2023
+ "grad_norm": 0.1945489837836613,
2024
+ "learning_rate": 7.235173602271875e-06,
2025
+ "loss": 0.162,
2026
+ "step": 2880
2027
+ },
2028
+ {
2029
+ "epoch": 2.338187702265372,
2030
+ "grad_norm": 0.2051511298220981,
2031
+ "learning_rate": 7.070362857394538e-06,
2032
+ "loss": 0.1712,
2033
+ "step": 2890
2034
+ },
2035
+ {
2036
+ "epoch": 2.3462783171521036,
2037
+ "grad_norm": 0.2038615765888219,
2038
+ "learning_rate": 6.907141228606831e-06,
2039
+ "loss": 0.1664,
2040
+ "step": 2900
2041
+ },
2042
+ {
2043
+ "epoch": 2.354368932038835,
2044
+ "grad_norm": 0.19824356024446557,
2045
+ "learning_rate": 6.745523182354147e-06,
2046
+ "loss": 0.1634,
2047
+ "step": 2910
2048
+ },
2049
+ {
2050
+ "epoch": 2.3624595469255665,
2051
+ "grad_norm": 0.1897897800458373,
2052
+ "learning_rate": 6.585523042955233e-06,
2053
+ "loss": 0.1633,
2054
+ "step": 2920
2055
+ },
2056
+ {
2057
+ "epoch": 2.3705501618122975,
2058
+ "grad_norm": 0.19361276633294466,
2059
+ "learning_rate": 6.427154991332665e-06,
2060
+ "loss": 0.1665,
2061
+ "step": 2930
2062
+ },
2063
+ {
2064
+ "epoch": 2.378640776699029,
2065
+ "grad_norm": 0.19269698264895235,
2066
+ "learning_rate": 6.2704330637559315e-06,
2067
+ "loss": 0.1632,
2068
+ "step": 2940
2069
+ },
2070
+ {
2071
+ "epoch": 2.3867313915857604,
2072
+ "grad_norm": 0.19487091156668288,
2073
+ "learning_rate": 6.115371150597413e-06,
2074
+ "loss": 0.1657,
2075
+ "step": 2950
2076
+ },
2077
+ {
2078
+ "epoch": 2.394822006472492,
2079
+ "grad_norm": 0.17726783434092147,
2080
+ "learning_rate": 5.961982995101301e-06,
2081
+ "loss": 0.1652,
2082
+ "step": 2960
2083
+ },
2084
+ {
2085
+ "epoch": 2.4029126213592233,
2086
+ "grad_norm": 0.19174116985719267,
2087
+ "learning_rate": 5.810282192165442e-06,
2088
+ "loss": 0.1674,
2089
+ "step": 2970
2090
+ },
2091
+ {
2092
+ "epoch": 2.411003236245955,
2093
+ "grad_norm": 0.20196362222659836,
2094
+ "learning_rate": 5.660282187136507e-06,
2095
+ "loss": 0.1648,
2096
+ "step": 2980
2097
+ },
2098
+ {
2099
+ "epoch": 2.4190938511326863,
2100
+ "grad_norm": 0.2037293127188244,
2101
+ "learning_rate": 5.511996274618253e-06,
2102
+ "loss": 0.1673,
2103
+ "step": 2990
2104
+ },
2105
+ {
2106
+ "epoch": 2.4271844660194173,
2107
+ "grad_norm": 0.2075997573199353,
2108
+ "learning_rate": 5.365437597293238e-06,
2109
+ "loss": 0.1681,
2110
+ "step": 3000
2111
+ },
2112
+ {
2113
+ "epoch": 2.4352750809061487,
2114
+ "grad_norm": 0.19485346480204271,
2115
+ "learning_rate": 5.220619144757996e-06,
2116
+ "loss": 0.168,
2117
+ "step": 3010
2118
+ },
2119
+ {
2120
+ "epoch": 2.44336569579288,
2121
+ "grad_norm": 0.20032468931249656,
2122
+ "learning_rate": 5.077553752371708e-06,
2123
+ "loss": 0.1695,
2124
+ "step": 3020
2125
+ },
2126
+ {
2127
+ "epoch": 2.4514563106796117,
2128
+ "grad_norm": 0.18780814063723766,
2129
+ "learning_rate": 4.936254100118656e-06,
2130
+ "loss": 0.1626,
2131
+ "step": 3030
2132
+ },
2133
+ {
2134
+ "epoch": 2.459546925566343,
2135
+ "grad_norm": 0.20597954746449326,
2136
+ "learning_rate": 4.796732711484342e-06,
2137
+ "loss": 0.1688,
2138
+ "step": 3040
2139
+ },
2140
+ {
2141
+ "epoch": 2.4676375404530746,
2142
+ "grad_norm": 0.1884986064298571,
2143
+ "learning_rate": 4.659001952345538e-06,
2144
+ "loss": 0.1618,
2145
+ "step": 3050
2146
+ },
2147
+ {
2148
+ "epoch": 2.475728155339806,
2149
+ "grad_norm": 0.19330264761303187,
2150
+ "learning_rate": 4.523074029874291e-06,
2151
+ "loss": 0.1611,
2152
+ "step": 3060
2153
+ },
2154
+ {
2155
+ "epoch": 2.483818770226537,
2156
+ "grad_norm": 0.1899995190829889,
2157
+ "learning_rate": 4.388960991455998e-06,
2158
+ "loss": 0.1642,
2159
+ "step": 3070
2160
+ },
2161
+ {
2162
+ "epoch": 2.4919093851132685,
2163
+ "grad_norm": 0.20352479818055758,
2164
+ "learning_rate": 4.256674723621621e-06,
2165
+ "loss": 0.165,
2166
+ "step": 3080
2167
+ },
2168
+ {
2169
+ "epoch": 2.5,
2170
+ "grad_norm": 0.19705480301688083,
2171
+ "learning_rate": 4.126226950994211e-06,
2172
+ "loss": 0.1633,
2173
+ "step": 3090
2174
+ },
2175
+ {
2176
+ "epoch": 2.5080906148867315,
2177
+ "grad_norm": 0.19973033430929824,
2178
+ "learning_rate": 3.997629235249692e-06,
2179
+ "loss": 0.1645,
2180
+ "step": 3100
2181
+ },
2182
+ {
2183
+ "epoch": 2.516181229773463,
2184
+ "grad_norm": 0.19227297342228458,
2185
+ "learning_rate": 3.870892974092197e-06,
2186
+ "loss": 0.1657,
2187
+ "step": 3110
2188
+ },
2189
+ {
2190
+ "epoch": 2.524271844660194,
2191
+ "grad_norm": 0.19226389494086693,
2192
+ "learning_rate": 3.7460294002438444e-06,
2193
+ "loss": 0.1649,
2194
+ "step": 3120
2195
+ },
2196
+ {
2197
+ "epoch": 2.5323624595469254,
2198
+ "grad_norm": 0.23947157434034713,
2199
+ "learning_rate": 3.6230495804491864e-06,
2200
+ "loss": 0.1638,
2201
+ "step": 3130
2202
+ },
2203
+ {
2204
+ "epoch": 2.540453074433657,
2205
+ "grad_norm": 0.18606261818175104,
2206
+ "learning_rate": 3.5019644144943576e-06,
2207
+ "loss": 0.1657,
2208
+ "step": 3140
2209
+ },
2210
+ {
2211
+ "epoch": 2.5485436893203883,
2212
+ "grad_norm": 0.18558275603040017,
2213
+ "learning_rate": 3.382784634241015e-06,
2214
+ "loss": 0.1626,
2215
+ "step": 3150
2216
+ },
2217
+ {
2218
+ "epoch": 2.55663430420712,
2219
+ "grad_norm": 0.1838874793051254,
2220
+ "learning_rate": 3.2655208026751816e-06,
2221
+ "loss": 0.1645,
2222
+ "step": 3160
2223
+ },
2224
+ {
2225
+ "epoch": 2.5647249190938513,
2226
+ "grad_norm": 0.18161462708162493,
2227
+ "learning_rate": 3.150183312971014e-06,
2228
+ "loss": 0.1625,
2229
+ "step": 3170
2230
+ },
2231
+ {
2232
+ "epoch": 2.5728155339805827,
2233
+ "grad_norm": 0.18098413098000662,
2234
+ "learning_rate": 3.036782387569659e-06,
2235
+ "loss": 0.1623,
2236
+ "step": 3180
2237
+ },
2238
+ {
2239
+ "epoch": 2.5809061488673137,
2240
+ "grad_norm": 0.19242866333812558,
2241
+ "learning_rate": 2.9253280772732595e-06,
2242
+ "loss": 0.1627,
2243
+ "step": 3190
2244
+ },
2245
+ {
2246
+ "epoch": 2.588996763754045,
2247
+ "grad_norm": 0.17889937009144094,
2248
+ "learning_rate": 2.8158302603540965e-06,
2249
+ "loss": 0.1609,
2250
+ "step": 3200
2251
+ },
2252
+ {
2253
+ "epoch": 2.5970873786407767,
2254
+ "grad_norm": 0.1879805259242369,
2255
+ "learning_rate": 2.708298641679105e-06,
2256
+ "loss": 0.1642,
2257
+ "step": 3210
2258
+ },
2259
+ {
2260
+ "epoch": 2.605177993527508,
2261
+ "grad_norm": 0.18048882079511047,
2262
+ "learning_rate": 2.6027427518497153e-06,
2263
+ "loss": 0.1634,
2264
+ "step": 3220
2265
+ },
2266
+ {
2267
+ "epoch": 2.6132686084142396,
2268
+ "grad_norm": 0.18903574393083356,
2269
+ "learning_rate": 2.49917194635714e-06,
2270
+ "loss": 0.1607,
2271
+ "step": 3230
2272
+ },
2273
+ {
2274
+ "epoch": 2.6213592233009706,
2275
+ "grad_norm": 0.18631019977805036,
2276
+ "learning_rate": 2.397595404753225e-06,
2277
+ "loss": 0.1589,
2278
+ "step": 3240
2279
+ },
2280
+ {
2281
+ "epoch": 2.6294498381877025,
2282
+ "grad_norm": 0.18583873327326217,
2283
+ "learning_rate": 2.2980221298367995e-06,
2284
+ "loss": 0.1679,
2285
+ "step": 3250
2286
+ },
2287
+ {
2288
+ "epoch": 2.6375404530744335,
2289
+ "grad_norm": 0.1872827952915852,
2290
+ "learning_rate": 2.2004609468558175e-06,
2291
+ "loss": 0.1648,
2292
+ "step": 3260
2293
+ },
2294
+ {
2295
+ "epoch": 2.645631067961165,
2296
+ "grad_norm": 0.18646198991723772,
2297
+ "learning_rate": 2.1049205027251216e-06,
2298
+ "loss": 0.1648,
2299
+ "step": 3270
2300
+ },
2301
+ {
2302
+ "epoch": 2.6537216828478964,
2303
+ "grad_norm": 0.18510117286188082,
2304
+ "learning_rate": 2.0114092652600806e-06,
2305
+ "loss": 0.1669,
2306
+ "step": 3280
2307
+ },
2308
+ {
2309
+ "epoch": 2.661812297734628,
2310
+ "grad_norm": 0.1813478635510933,
2311
+ "learning_rate": 1.919935522426081e-06,
2312
+ "loss": 0.1601,
2313
+ "step": 3290
2314
+ },
2315
+ {
2316
+ "epoch": 2.6699029126213594,
2317
+ "grad_norm": 0.18995739003728715,
2318
+ "learning_rate": 1.8305073816039492e-06,
2319
+ "loss": 0.165,
2320
+ "step": 3300
2321
+ },
2322
+ {
2323
+ "epoch": 2.6779935275080904,
2324
+ "grad_norm": 0.18850255636775962,
2325
+ "learning_rate": 1.7431327688714139e-06,
2326
+ "loss": 0.1686,
2327
+ "step": 3310
2328
+ },
2329
+ {
2330
+ "epoch": 2.686084142394822,
2331
+ "grad_norm": 0.19405450386616901,
2332
+ "learning_rate": 1.6578194283005804e-06,
2333
+ "loss": 0.1586,
2334
+ "step": 3320
2335
+ },
2336
+ {
2337
+ "epoch": 2.6941747572815533,
2338
+ "grad_norm": 0.18168641096398497,
2339
+ "learning_rate": 1.5745749212715794e-06,
2340
+ "loss": 0.1669,
2341
+ "step": 3330
2342
+ },
2343
+ {
2344
+ "epoch": 2.7022653721682848,
2345
+ "grad_norm": 0.18390467428127966,
2346
+ "learning_rate": 1.4934066258024182e-06,
2347
+ "loss": 0.1681,
2348
+ "step": 3340
2349
+ },
2350
+ {
2351
+ "epoch": 2.7103559870550162,
2352
+ "grad_norm": 0.18623903954773796,
2353
+ "learning_rate": 1.4143217358950217e-06,
2354
+ "loss": 0.1648,
2355
+ "step": 3350
2356
+ },
2357
+ {
2358
+ "epoch": 2.7184466019417477,
2359
+ "grad_norm": 0.18708444577479785,
2360
+ "learning_rate": 1.3373272608976668e-06,
2361
+ "loss": 0.1635,
2362
+ "step": 3360
2363
+ },
2364
+ {
2365
+ "epoch": 2.726537216828479,
2366
+ "grad_norm": 0.1850383082145996,
2367
+ "learning_rate": 1.2624300248836928e-06,
2368
+ "loss": 0.1607,
2369
+ "step": 3370
2370
+ },
2371
+ {
2372
+ "epoch": 2.73462783171521,
2373
+ "grad_norm": 0.19358386622393567,
2374
+ "learning_rate": 1.1896366660467173e-06,
2375
+ "loss": 0.1645,
2376
+ "step": 3380
2377
+ },
2378
+ {
2379
+ "epoch": 2.7427184466019416,
2380
+ "grad_norm": 0.17960690916881664,
2381
+ "learning_rate": 1.1189536361122799e-06,
2382
+ "loss": 0.1628,
2383
+ "step": 3390
2384
+ },
2385
+ {
2386
+ "epoch": 2.750809061488673,
2387
+ "grad_norm": 0.20127134763525154,
2388
+ "learning_rate": 1.0503871997660036e-06,
2389
+ "loss": 0.168,
2390
+ "step": 3400
2391
+ },
2392
+ {
2393
+ "epoch": 2.7588996763754046,
2394
+ "grad_norm": 0.19658936043581707,
2395
+ "learning_rate": 9.83943434098372e-07,
2396
+ "loss": 0.1633,
2397
+ "step": 3410
2398
+ },
2399
+ {
2400
+ "epoch": 2.766990291262136,
2401
+ "grad_norm": 0.18650679653778446,
2402
+ "learning_rate": 9.196282280661023e-07,
2403
+ "loss": 0.1673,
2404
+ "step": 3420
2405
+ },
2406
+ {
2407
+ "epoch": 2.775080906148867,
2408
+ "grad_norm": 0.1733323921140541,
2409
+ "learning_rate": 8.574472819702029e-07,
2410
+ "loss": 0.1652,
2411
+ "step": 3430
2412
+ },
2413
+ {
2414
+ "epoch": 2.783171521035599,
2415
+ "grad_norm": 0.17972872694953243,
2416
+ "learning_rate": 7.974061069507571e-07,
2417
+ "loss": 0.1636,
2418
+ "step": 3440
2419
+ },
2420
+ {
2421
+ "epoch": 2.79126213592233,
2422
+ "grad_norm": 0.1777461753836034,
2423
+ "learning_rate": 7.395100244984604e-07,
2424
+ "loss": 0.1634,
2425
+ "step": 3450
2426
+ },
2427
+ {
2428
+ "epoch": 2.7993527508090614,
2429
+ "grad_norm": 0.18989630729322288,
2430
+ "learning_rate": 6.837641659829807e-07,
2431
+ "loss": 0.1661,
2432
+ "step": 3460
2433
+ },
2434
+ {
2435
+ "epoch": 2.807443365695793,
2436
+ "grad_norm": 0.17625775327505652,
2437
+ "learning_rate": 6.301734721981533e-07,
2438
+ "loss": 0.1643,
2439
+ "step": 3470
2440
+ },
2441
+ {
2442
+ "epoch": 2.8155339805825244,
2443
+ "grad_norm": 0.1862820489099266,
2444
+ "learning_rate": 5.787426929240808e-07,
2445
+ "loss": 0.1643,
2446
+ "step": 3480
2447
+ },
2448
+ {
2449
+ "epoch": 2.823624595469256,
2450
+ "grad_norm": 0.1790622651864573,
2451
+ "learning_rate": 5.294763865061558e-07,
2452
+ "loss": 0.1626,
2453
+ "step": 3490
2454
+ },
2455
+ {
2456
+ "epoch": 2.831715210355987,
2457
+ "grad_norm": 0.173713637483726,
2458
+ "learning_rate": 4.823789194510514e-07,
2459
+ "loss": 0.1639,
2460
+ "step": 3500
2461
+ },
2462
+ {
2463
+ "epoch": 2.8398058252427183,
2464
+ "grad_norm": 0.1866652309901256,
2465
+ "learning_rate": 4.3745446603971064e-07,
2466
+ "loss": 0.1602,
2467
+ "step": 3510
2468
+ },
2469
+ {
2470
+ "epoch": 2.8478964401294498,
2471
+ "grad_norm": 0.17910113776598907,
2472
+ "learning_rate": 3.947070079573872e-07,
2473
+ "loss": 0.1642,
2474
+ "step": 3520
2475
+ },
2476
+ {
2477
+ "epoch": 2.855987055016181,
2478
+ "grad_norm": 0.18065751924055337,
2479
+ "learning_rate": 3.541403339407279e-07,
2480
+ "loss": 0.1656,
2481
+ "step": 3530
2482
+ },
2483
+ {
2484
+ "epoch": 2.8640776699029127,
2485
+ "grad_norm": 0.18007167117331419,
2486
+ "learning_rate": 3.1575803944199624e-07,
2487
+ "loss": 0.1651,
2488
+ "step": 3540
2489
+ },
2490
+ {
2491
+ "epoch": 2.872168284789644,
2492
+ "grad_norm": 0.18247762658055755,
2493
+ "learning_rate": 2.7956352631038906e-07,
2494
+ "loss": 0.1623,
2495
+ "step": 3550
2496
+ },
2497
+ {
2498
+ "epoch": 2.8802588996763756,
2499
+ "grad_norm": 0.17849381652959184,
2500
+ "learning_rate": 2.4556000249054133e-07,
2501
+ "loss": 0.1653,
2502
+ "step": 3560
2503
+ },
2504
+ {
2505
+ "epoch": 2.8883495145631066,
2506
+ "grad_norm": 0.1846373828579316,
2507
+ "learning_rate": 2.1375048173818412e-07,
2508
+ "loss": 0.1691,
2509
+ "step": 3570
2510
+ },
2511
+ {
2512
+ "epoch": 2.896440129449838,
2513
+ "grad_norm": 0.17151731227871805,
2514
+ "learning_rate": 1.8413778335305e-07,
2515
+ "loss": 0.1606,
2516
+ "step": 3580
2517
+ },
2518
+ {
2519
+ "epoch": 2.9045307443365695,
2520
+ "grad_norm": 0.22901848451176904,
2521
+ "learning_rate": 1.567245319290006e-07,
2522
+ "loss": 0.1607,
2523
+ "step": 3590
2524
+ },
2525
+ {
2526
+ "epoch": 2.912621359223301,
2527
+ "grad_norm": 0.1841472999781577,
2528
+ "learning_rate": 1.315131571213879e-07,
2529
+ "loss": 0.1659,
2530
+ "step": 3600
2531
+ },
2532
+ {
2533
+ "epoch": 2.9207119741100325,
2534
+ "grad_norm": 0.17620735263373793,
2535
+ "learning_rate": 1.0850589343172624e-07,
2536
+ "loss": 0.163,
2537
+ "step": 3610
2538
+ },
2539
+ {
2540
+ "epoch": 2.9288025889967635,
2541
+ "grad_norm": 0.1732366383013906,
2542
+ "learning_rate": 8.770478000964532e-08,
2543
+ "loss": 0.1603,
2544
+ "step": 3620
2545
+ },
2546
+ {
2547
+ "epoch": 2.9368932038834954,
2548
+ "grad_norm": 0.18106989776343552,
2549
+ "learning_rate": 6.911166047215145e-08,
2550
+ "loss": 0.1639,
2551
+ "step": 3630
2552
+ },
2553
+ {
2554
+ "epoch": 2.9449838187702264,
2555
+ "grad_norm": 0.18480994602766684,
2556
+ "learning_rate": 5.272818274023872e-08,
2557
+ "loss": 0.163,
2558
+ "step": 3640
2559
+ },
2560
+ {
2561
+ "epoch": 2.953074433656958,
2562
+ "grad_norm": 0.17298187343963853,
2563
+ "learning_rate": 3.855579889282257e-08,
2564
+ "loss": 0.1607,
2565
+ "step": 3650
2566
+ },
2567
+ {
2568
+ "epoch": 2.9611650485436893,
2569
+ "grad_norm": 0.1826761908488716,
2570
+ "learning_rate": 2.6595765038045507e-08,
2571
+ "loss": 0.1598,
2572
+ "step": 3660
2573
+ },
2574
+ {
2575
+ "epoch": 2.969255663430421,
2576
+ "grad_norm": 0.18104206371371273,
2577
+ "learning_rate": 1.6849141201946693e-08,
2578
+ "loss": 0.1656,
2579
+ "step": 3670
2580
+ },
2581
+ {
2582
+ "epoch": 2.9773462783171523,
2583
+ "grad_norm": 0.17420913687043998,
2584
+ "learning_rate": 9.316791234506572e-09,
2585
+ "loss": 0.1589,
2586
+ "step": 3680
2587
+ },
2588
+ {
2589
+ "epoch": 2.9854368932038833,
2590
+ "grad_norm": 0.177305619544985,
2591
+ "learning_rate": 3.999382733096968e-09,
2592
+ "loss": 0.1633,
2593
+ "step": 3690
2594
+ },
2595
+ {
2596
+ "epoch": 2.9935275080906147,
2597
+ "grad_norm": 0.17610657137080274,
2598
+ "learning_rate": 8.973869832895609e-10,
2599
+ "loss": 0.1623,
2600
+ "step": 3700
2601
+ }
2602
+ ],
2603
+ "logging_steps": 10,
2604
+ "max_steps": 3708,
2605
+ "num_input_tokens_seen": 0,
2606
+ "num_train_epochs": 3,
2607
+ "save_steps": 500,
2608
+ "stateful_callbacks": {
2609
+ "TrainerControl": {
2610
+ "args": {
2611
+ "should_epoch_stop": false,
2612
+ "should_evaluate": false,
2613
+ "should_log": false,
2614
+ "should_save": true,
2615
+ "should_training_stop": true
2616
+ },
2617
+ "attributes": {}
2618
+ }
2619
+ },
2620
+ "total_flos": 6.364819972765516e+18,
2621
+ "train_batch_size": 2,
2622
+ "trial_name": null,
2623
+ "trial_params": null
2624
+ }
checkpoint-3708/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cea2cc34d068b43f5f15fcf4b3b00ad0f535091c89422c3523e5bd862f073f10
3
+ size 7736
checkpoint-3708/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention"
41
+ ],
42
+ "max_position_embeddings": 131072,
43
+ "max_window_layers": 28,
44
+ "model_type": "qwen2",
45
+ "num_attention_heads": 28,
46
+ "num_hidden_layers": 28,
47
+ "num_key_value_heads": 4,
48
+ "rms_norm_eps": 1e-06,
49
+ "rope_scaling": null,
50
+ "rope_theta": 1000000.0,
51
+ "sliding_window": null,
52
+ "tie_word_embeddings": false,
53
+ "torch_dtype": "bfloat16",
54
+ "transformers_version": "4.55.0",
55
+ "use_cache": false,
56
+ "use_mrope": false,
57
+ "use_sliding_window": false,
58
+ "vocab_size": 152064
59
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.55.0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99cfc18248c17cf4247a7e9c232dcb3008b5475c479d18edd496cfcd824bdd7c
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2361d86c7cec32642d1e8f3f71efa1e1438d327c026bd797d31994e66060957e
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11f094a82831873bb2359b0d0d6380d8fb267848105e2e0b8215a9198850e80f
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4917239fa70d1f953df5e58c6cd8f5b4f52a2b2f7f75a4fb9d8e560000a8790f
3
+ size 1089994880
model.safetensors.index.json ADDED
@@ -0,0 +1,347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 333312,
4
+ "total_size": 15231233024
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
345
+ "model.norm.weight": "model-00003-of-00004.safetensors"
346
+ }
347
+ }
runs/Oct30_20-29-34_SH-IDCA1404-10-140-54-56/events.out.tfevents.1761827539.SH-IDCA1404-10-140-54-56.105170.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bec124ce4e6d4a06b58d9b21e02a5b9e1abec5017ead942e701e4d8f860e6852
3
+ size 84614
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null,
208
+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message + '\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\nAssistant:' }}{% elif message['role'] == 'assistant' %}{{ content + '<|endoftext|>' + '\n' }}{% endif %}{% endfor %}"
209
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 6.364819972765516e+18,
4
+ "train_loss": 0.2649726264235014,
5
+ "train_runtime": 208629.7363,
6
+ "train_samples_per_second": 0.569,
7
+ "train_steps_per_second": 0.018
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,371 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 10, "total_steps": 3708, "loss": 2.601, "lr": 1.2129380053908356e-06, "epoch": 0.008090614886731391, "percentage": 0.27, "elapsed_time": "0:09:26", "remaining_time": "2 days, 10:12:11"}
2
+ {"current_steps": 20, "total_steps": 3708, "loss": 2.3954, "lr": 2.560646900269542e-06, "epoch": 0.016181229773462782, "percentage": 0.54, "elapsed_time": "0:18:48", "remaining_time": "2 days, 9:48:56"}
3
+ {"current_steps": 30, "total_steps": 3708, "loss": 1.7763, "lr": 3.908355795148248e-06, "epoch": 0.024271844660194174, "percentage": 0.81, "elapsed_time": "0:28:10", "remaining_time": "2 days, 9:34:50"}
4
+ {"current_steps": 40, "total_steps": 3708, "loss": 1.2086, "lr": 5.256064690026954e-06, "epoch": 0.032362459546925564, "percentage": 1.08, "elapsed_time": "0:37:33", "remaining_time": "2 days, 9:23:39"}
5
+ {"current_steps": 50, "total_steps": 3708, "loss": 0.8436, "lr": 6.60377358490566e-06, "epoch": 0.040453074433656956, "percentage": 1.35, "elapsed_time": "0:46:56", "remaining_time": "2 days, 9:13:48"}
6
+ {"current_steps": 60, "total_steps": 3708, "loss": 0.6706, "lr": 7.951482479784367e-06, "epoch": 0.04854368932038835, "percentage": 1.62, "elapsed_time": "0:56:18", "remaining_time": "2 days, 9:03:33"}
7
+ {"current_steps": 70, "total_steps": 3708, "loss": 0.5858, "lr": 9.299191374663074e-06, "epoch": 0.05663430420711974, "percentage": 1.89, "elapsed_time": "1:05:40", "remaining_time": "2 days, 8:53:32"}
8
+ {"current_steps": 80, "total_steps": 3708, "loss": 0.5384, "lr": 1.0646900269541779e-05, "epoch": 0.06472491909385113, "percentage": 2.16, "elapsed_time": "1:15:02", "remaining_time": "2 days, 8:43:20"}
9
+ {"current_steps": 90, "total_steps": 3708, "loss": 0.4977, "lr": 1.1994609164420486e-05, "epoch": 0.07281553398058252, "percentage": 2.43, "elapsed_time": "1:24:25", "remaining_time": "2 days, 8:33:57"}
10
+ {"current_steps": 100, "total_steps": 3708, "loss": 0.4639, "lr": 1.3342318059299191e-05, "epoch": 0.08090614886731391, "percentage": 2.7, "elapsed_time": "1:33:47", "remaining_time": "2 days, 8:24:15"}
11
+ {"current_steps": 110, "total_steps": 3708, "loss": 0.4589, "lr": 1.4690026954177898e-05, "epoch": 0.0889967637540453, "percentage": 2.97, "elapsed_time": "1:43:10", "remaining_time": "2 days, 8:14:51"}
12
+ {"current_steps": 120, "total_steps": 3708, "loss": 0.4511, "lr": 1.6037735849056604e-05, "epoch": 0.0970873786407767, "percentage": 3.24, "elapsed_time": "1:52:33", "remaining_time": "2 days, 8:05:23"}
13
+ {"current_steps": 130, "total_steps": 3708, "loss": 0.4259, "lr": 1.738544474393531e-05, "epoch": 0.10517799352750809, "percentage": 3.51, "elapsed_time": "2:01:55", "remaining_time": "2 days, 7:55:57"}
14
+ {"current_steps": 140, "total_steps": 3708, "loss": 0.4271, "lr": 1.8733153638814018e-05, "epoch": 0.11326860841423948, "percentage": 3.78, "elapsed_time": "2:11:18", "remaining_time": "2 days, 7:46:33"}
15
+ {"current_steps": 150, "total_steps": 3708, "loss": 0.415, "lr": 2.0080862533692725e-05, "epoch": 0.12135922330097088, "percentage": 4.05, "elapsed_time": "2:20:41", "remaining_time": "2 days, 7:37:10"}
16
+ {"current_steps": 160, "total_steps": 3708, "loss": 0.4047, "lr": 2.1428571428571428e-05, "epoch": 0.12944983818770225, "percentage": 4.31, "elapsed_time": "2:30:03", "remaining_time": "2 days, 7:27:41"}
17
+ {"current_steps": 170, "total_steps": 3708, "loss": 0.3977, "lr": 2.2776280323450135e-05, "epoch": 0.13754045307443366, "percentage": 4.58, "elapsed_time": "2:39:26", "remaining_time": "2 days, 7:18:20"}
18
+ {"current_steps": 180, "total_steps": 3708, "loss": 0.3972, "lr": 2.4123989218328842e-05, "epoch": 0.14563106796116504, "percentage": 4.85, "elapsed_time": "2:48:48", "remaining_time": "2 days, 7:08:45"}
19
+ {"current_steps": 190, "total_steps": 3708, "loss": 0.3886, "lr": 2.547169811320755e-05, "epoch": 0.15372168284789645, "percentage": 5.12, "elapsed_time": "2:58:11", "remaining_time": "2 days, 6:59:15"}
20
+ {"current_steps": 200, "total_steps": 3708, "loss": 0.3881, "lr": 2.6819407008086256e-05, "epoch": 0.16181229773462782, "percentage": 5.39, "elapsed_time": "3:07:32", "remaining_time": "2 days, 6:49:36"}
21
+ {"current_steps": 210, "total_steps": 3708, "loss": 0.3915, "lr": 2.8167115902964963e-05, "epoch": 0.16990291262135923, "percentage": 5.66, "elapsed_time": "3:16:55", "remaining_time": "2 days, 6:40:04"}
22
+ {"current_steps": 220, "total_steps": 3708, "loss": 0.384, "lr": 2.9514824797843667e-05, "epoch": 0.1779935275080906, "percentage": 5.93, "elapsed_time": "3:26:17", "remaining_time": "2 days, 6:30:37"}
23
+ {"current_steps": 230, "total_steps": 3708, "loss": 0.3748, "lr": 3.086253369272237e-05, "epoch": 0.18608414239482202, "percentage": 6.2, "elapsed_time": "3:35:39", "remaining_time": "2 days, 6:21:12"}
24
+ {"current_steps": 240, "total_steps": 3708, "loss": 0.3732, "lr": 3.221024258760108e-05, "epoch": 0.1941747572815534, "percentage": 6.47, "elapsed_time": "3:45:02", "remaining_time": "2 days, 6:11:45"}
25
+ {"current_steps": 250, "total_steps": 3708, "loss": 0.3778, "lr": 3.355795148247979e-05, "epoch": 0.2022653721682848, "percentage": 6.74, "elapsed_time": "3:54:24", "remaining_time": "2 days, 6:02:24"}
26
+ {"current_steps": 260, "total_steps": 3708, "loss": 0.3779, "lr": 3.490566037735849e-05, "epoch": 0.21035598705501618, "percentage": 7.01, "elapsed_time": "4:03:47", "remaining_time": "2 days, 5:53:02"}
27
+ {"current_steps": 270, "total_steps": 3708, "loss": 0.3659, "lr": 3.62533692722372e-05, "epoch": 0.21844660194174756, "percentage": 7.28, "elapsed_time": "4:13:09", "remaining_time": "2 days, 5:43:35"}
28
+ {"current_steps": 280, "total_steps": 3708, "loss": 0.3678, "lr": 3.76010781671159e-05, "epoch": 0.22653721682847897, "percentage": 7.55, "elapsed_time": "4:22:32", "remaining_time": "2 days, 5:34:12"}
29
+ {"current_steps": 290, "total_steps": 3708, "loss": 0.3608, "lr": 3.894878706199461e-05, "epoch": 0.23462783171521034, "percentage": 7.82, "elapsed_time": "4:31:55", "remaining_time": "2 days, 5:24:56"}
30
+ {"current_steps": 300, "total_steps": 3708, "loss": 0.3623, "lr": 4.0296495956873316e-05, "epoch": 0.24271844660194175, "percentage": 8.09, "elapsed_time": "4:41:17", "remaining_time": "2 days, 5:15:28"}
31
+ {"current_steps": 310, "total_steps": 3708, "loss": 0.361, "lr": 4.164420485175202e-05, "epoch": 0.25080906148867316, "percentage": 8.36, "elapsed_time": "4:50:39", "remaining_time": "2 days, 5:06:01"}
32
+ {"current_steps": 320, "total_steps": 3708, "loss": 0.3587, "lr": 4.299191374663073e-05, "epoch": 0.2588996763754045, "percentage": 8.63, "elapsed_time": "5:00:01", "remaining_time": "2 days, 4:56:33"}
33
+ {"current_steps": 330, "total_steps": 3708, "loss": 0.3641, "lr": 4.433962264150944e-05, "epoch": 0.2669902912621359, "percentage": 8.9, "elapsed_time": "5:09:24", "remaining_time": "2 days, 4:47:09"}
34
+ {"current_steps": 340, "total_steps": 3708, "loss": 0.3571, "lr": 4.5687331536388144e-05, "epoch": 0.2750809061488673, "percentage": 9.17, "elapsed_time": "5:18:46", "remaining_time": "2 days, 4:37:46"}
35
+ {"current_steps": 350, "total_steps": 3708, "loss": 0.3564, "lr": 4.703504043126685e-05, "epoch": 0.28317152103559873, "percentage": 9.44, "elapsed_time": "5:28:08", "remaining_time": "2 days, 4:28:19"}
36
+ {"current_steps": 360, "total_steps": 3708, "loss": 0.3499, "lr": 4.838274932614555e-05, "epoch": 0.2912621359223301, "percentage": 9.71, "elapsed_time": "5:37:30", "remaining_time": "2 days, 4:18:50"}
37
+ {"current_steps": 370, "total_steps": 3708, "loss": 0.3546, "lr": 4.973045822102426e-05, "epoch": 0.2993527508090615, "percentage": 9.98, "elapsed_time": "5:46:53", "remaining_time": "2 days, 4:09:29"}
38
+ {"current_steps": 380, "total_steps": 3708, "loss": 0.358, "lr": 4.9999290952604396e-05, "epoch": 0.3074433656957929, "percentage": 10.25, "elapsed_time": "5:56:15", "remaining_time": "2 days, 4:00:06"}
39
+ {"current_steps": 390, "total_steps": 3708, "loss": 0.3442, "lr": 4.9996410516491115e-05, "epoch": 0.3155339805825243, "percentage": 10.52, "elapsed_time": "6:05:38", "remaining_time": "2 days, 3:50:41"}
40
+ {"current_steps": 400, "total_steps": 3708, "loss": 0.3504, "lr": 4.9991314631296585e-05, "epoch": 0.32362459546925565, "percentage": 10.79, "elapsed_time": "6:15:00", "remaining_time": "2 days, 3:41:18"}
41
+ {"current_steps": 410, "total_steps": 3708, "loss": 0.3451, "lr": 4.9984003748672604e-05, "epoch": 0.33171521035598706, "percentage": 11.06, "elapsed_time": "6:24:22", "remaining_time": "2 days, 3:31:52"}
42
+ {"current_steps": 420, "total_steps": 3708, "loss": 0.3373, "lr": 4.997447851658774e-05, "epoch": 0.33980582524271846, "percentage": 11.33, "elapsed_time": "6:33:44", "remaining_time": "2 days, 3:22:28"}
43
+ {"current_steps": 430, "total_steps": 3708, "loss": 0.3427, "lr": 4.9962739779269887e-05, "epoch": 0.3478964401294498, "percentage": 11.6, "elapsed_time": "6:43:07", "remaining_time": "2 days, 3:13:06"}
44
+ {"current_steps": 440, "total_steps": 3708, "loss": 0.3402, "lr": 4.9948788577131414e-05, "epoch": 0.3559870550161812, "percentage": 11.87, "elapsed_time": "6:52:29", "remaining_time": "2 days, 3:03:42"}
45
+ {"current_steps": 450, "total_steps": 3708, "loss": 0.3404, "lr": 4.993262614667696e-05, "epoch": 0.3640776699029126, "percentage": 12.14, "elapsed_time": "7:01:52", "remaining_time": "2 days, 2:54:23"}
46
+ {"current_steps": 460, "total_steps": 3708, "loss": 0.3374, "lr": 4.9914253920393884e-05, "epoch": 0.37216828478964403, "percentage": 12.41, "elapsed_time": "7:11:14", "remaining_time": "2 days, 2:44:55"}
47
+ {"current_steps": 470, "total_steps": 3708, "loss": 0.3374, "lr": 4.9893673526625265e-05, "epoch": 0.3802588996763754, "percentage": 12.68, "elapsed_time": "7:20:36", "remaining_time": "2 days, 2:35:33"}
48
+ {"current_steps": 480, "total_steps": 3708, "loss": 0.338, "lr": 4.987088678942555e-05, "epoch": 0.3883495145631068, "percentage": 12.94, "elapsed_time": "7:29:59", "remaining_time": "2 days, 2:26:09"}
49
+ {"current_steps": 490, "total_steps": 3708, "loss": 0.3335, "lr": 4.984589572839897e-05, "epoch": 0.3964401294498382, "percentage": 13.21, "elapsed_time": "7:39:21", "remaining_time": "2 days, 2:16:43"}
50
+ {"current_steps": 500, "total_steps": 3708, "loss": 0.3299, "lr": 4.9818702558520485e-05, "epoch": 0.4045307443365696, "percentage": 13.48, "elapsed_time": "7:48:43", "remaining_time": "2 days, 2:07:20"}
51
+ {"current_steps": 510, "total_steps": 3708, "loss": 0.3388, "lr": 4.978930968993946e-05, "epoch": 0.41262135922330095, "percentage": 13.75, "elapsed_time": "7:58:05", "remaining_time": "2 days, 1:57:56"}
52
+ {"current_steps": 520, "total_steps": 3708, "loss": 0.3319, "lr": 4.9757719727766085e-05, "epoch": 0.42071197411003236, "percentage": 14.02, "elapsed_time": "8:07:27", "remaining_time": "2 days, 1:48:29"}
53
+ {"current_steps": 530, "total_steps": 3708, "loss": 0.33, "lr": 4.972393547184046e-05, "epoch": 0.42880258899676377, "percentage": 14.29, "elapsed_time": "8:16:49", "remaining_time": "2 days, 1:39:04"}
54
+ {"current_steps": 540, "total_steps": 3708, "loss": 0.3252, "lr": 4.968795991648446e-05, "epoch": 0.4368932038834951, "percentage": 14.56, "elapsed_time": "8:26:11", "remaining_time": "2 days, 1:29:37"}
55
+ {"current_steps": 550, "total_steps": 3708, "loss": 0.324, "lr": 4.9649796250236344e-05, "epoch": 0.4449838187702265, "percentage": 14.83, "elapsed_time": "8:35:33", "remaining_time": "2 days, 1:20:14"}
56
+ {"current_steps": 560, "total_steps": 3708, "loss": 0.3254, "lr": 4.960944785556814e-05, "epoch": 0.45307443365695793, "percentage": 15.1, "elapsed_time": "8:44:55", "remaining_time": "2 days, 1:10:48"}
57
+ {"current_steps": 570, "total_steps": 3708, "loss": 0.3216, "lr": 4.956691830858585e-05, "epoch": 0.46116504854368934, "percentage": 15.37, "elapsed_time": "8:54:17", "remaining_time": "2 days, 1:01:26"}
58
+ {"current_steps": 580, "total_steps": 3708, "loss": 0.3206, "lr": 4.952221137871252e-05, "epoch": 0.4692556634304207, "percentage": 15.64, "elapsed_time": "9:03:40", "remaining_time": "2 days, 0:52:03"}
59
+ {"current_steps": 590, "total_steps": 3708, "loss": 0.322, "lr": 4.947533102835413e-05, "epoch": 0.4773462783171521, "percentage": 15.91, "elapsed_time": "9:13:02", "remaining_time": "2 days, 0:42:40"}
60
+ {"current_steps": 600, "total_steps": 3708, "loss": 0.3257, "lr": 4.942628141254843e-05, "epoch": 0.4854368932038835, "percentage": 16.18, "elapsed_time": "9:22:24", "remaining_time": "2 days, 0:33:16"}
61
+ {"current_steps": 610, "total_steps": 3708, "loss": 0.3197, "lr": 4.937506687859666e-05, "epoch": 0.4935275080906149, "percentage": 16.45, "elapsed_time": "9:31:46", "remaining_time": "2 days, 0:23:52"}
62
+ {"current_steps": 620, "total_steps": 3708, "loss": 0.3209, "lr": 4.932169196567824e-05, "epoch": 0.5016181229773463, "percentage": 16.72, "elapsed_time": "9:41:08", "remaining_time": "2 days, 0:14:29"}
63
+ {"current_steps": 630, "total_steps": 3708, "loss": 0.3102, "lr": 4.9266161404448454e-05, "epoch": 0.5097087378640777, "percentage": 16.99, "elapsed_time": "9:50:31", "remaining_time": "2 days, 0:05:06"}
64
+ {"current_steps": 640, "total_steps": 3708, "loss": 0.3195, "lr": 4.920848011661919e-05, "epoch": 0.517799352750809, "percentage": 17.26, "elapsed_time": "9:59:53", "remaining_time": "1 day, 23:55:41"}
65
+ {"current_steps": 650, "total_steps": 3708, "loss": 0.3151, "lr": 4.914865321452274e-05, "epoch": 0.5258899676375405, "percentage": 17.53, "elapsed_time": "10:09:14", "remaining_time": "1 day, 23:46:16"}
66
+ {"current_steps": 660, "total_steps": 3708, "loss": 0.3151, "lr": 4.908668600065862e-05, "epoch": 0.5339805825242718, "percentage": 17.8, "elapsed_time": "10:18:36", "remaining_time": "1 day, 23:36:51"}
67
+ {"current_steps": 670, "total_steps": 3708, "loss": 0.3216, "lr": 4.90225839672237e-05, "epoch": 0.5420711974110033, "percentage": 18.07, "elapsed_time": "10:27:59", "remaining_time": "1 day, 23:27:29"}
68
+ {"current_steps": 680, "total_steps": 3708, "loss": 0.3168, "lr": 4.8956352795625325e-05, "epoch": 0.5501618122977346, "percentage": 18.34, "elapsed_time": "10:37:21", "remaining_time": "1 day, 23:18:05"}
69
+ {"current_steps": 690, "total_steps": 3708, "loss": 0.313, "lr": 4.8887998355977886e-05, "epoch": 0.558252427184466, "percentage": 18.61, "elapsed_time": "10:46:43", "remaining_time": "1 day, 23:08:43"}
70
+ {"current_steps": 700, "total_steps": 3708, "loss": 0.3132, "lr": 4.881752670658244e-05, "epoch": 0.5663430420711975, "percentage": 18.88, "elapsed_time": "10:56:04", "remaining_time": "1 day, 22:59:17"}
71
+ {"current_steps": 710, "total_steps": 3708, "loss": 0.314, "lr": 4.87449440933898e-05, "epoch": 0.5744336569579288, "percentage": 19.15, "elapsed_time": "11:05:27", "remaining_time": "1 day, 22:49:53"}
72
+ {"current_steps": 720, "total_steps": 3708, "loss": 0.3109, "lr": 4.867025694944698e-05, "epoch": 0.5825242718446602, "percentage": 19.42, "elapsed_time": "11:14:48", "remaining_time": "1 day, 22:40:28"}
73
+ {"current_steps": 730, "total_steps": 3708, "loss": 0.3188, "lr": 4.859347189432699e-05, "epoch": 0.5906148867313916, "percentage": 19.69, "elapsed_time": "11:24:11", "remaining_time": "1 day, 22:31:06"}
74
+ {"current_steps": 740, "total_steps": 3708, "loss": 0.3053, "lr": 4.8514595733542144e-05, "epoch": 0.598705501618123, "percentage": 19.96, "elapsed_time": "11:33:33", "remaining_time": "1 day, 22:21:42"}
75
+ {"current_steps": 750, "total_steps": 3708, "loss": 0.3095, "lr": 4.8433635457940915e-05, "epoch": 0.6067961165048543, "percentage": 20.23, "elapsed_time": "11:42:55", "remaining_time": "1 day, 22:12:18"}
76
+ {"current_steps": 760, "total_steps": 3708, "loss": 0.3081, "lr": 4.8350598243088283e-05, "epoch": 0.6148867313915858, "percentage": 20.5, "elapsed_time": "11:52:16", "remaining_time": "1 day, 22:02:54"}
77
+ {"current_steps": 770, "total_steps": 3708, "loss": 0.3096, "lr": 4.8265491448629804e-05, "epoch": 0.6229773462783171, "percentage": 20.77, "elapsed_time": "12:01:39", "remaining_time": "1 day, 21:53:31"}
78
+ {"current_steps": 780, "total_steps": 3708, "loss": 0.3064, "lr": 4.817832261763928e-05, "epoch": 0.6310679611650486, "percentage": 21.04, "elapsed_time": "12:11:00", "remaining_time": "1 day, 21:44:06"}
79
+ {"current_steps": 790, "total_steps": 3708, "loss": 0.3075, "lr": 4.8089099475950257e-05, "epoch": 0.63915857605178, "percentage": 21.31, "elapsed_time": "12:20:22", "remaining_time": "1 day, 21:34:42"}
80
+ {"current_steps": 800, "total_steps": 3708, "loss": 0.3055, "lr": 4.7997829931471225e-05, "epoch": 0.6472491909385113, "percentage": 21.57, "elapsed_time": "12:29:44", "remaining_time": "1 day, 21:25:18"}
81
+ {"current_steps": 810, "total_steps": 3708, "loss": 0.3056, "lr": 4.7904522073484786e-05, "epoch": 0.6553398058252428, "percentage": 21.84, "elapsed_time": "12:39:06", "remaining_time": "1 day, 21:15:55"}
82
+ {"current_steps": 820, "total_steps": 3708, "loss": 0.3068, "lr": 4.780918417193065e-05, "epoch": 0.6634304207119741, "percentage": 22.11, "elapsed_time": "12:48:28", "remaining_time": "1 day, 21:06:31"}
83
+ {"current_steps": 830, "total_steps": 3708, "loss": 0.311, "lr": 4.7711824676672726e-05, "epoch": 0.6715210355987055, "percentage": 22.38, "elapsed_time": "12:57:50", "remaining_time": "1 day, 20:57:08"}
84
+ {"current_steps": 840, "total_steps": 3708, "loss": 0.3139, "lr": 4.76124522167501e-05, "epoch": 0.6796116504854369, "percentage": 22.65, "elapsed_time": "13:07:12", "remaining_time": "1 day, 20:47:45"}
85
+ {"current_steps": 850, "total_steps": 3708, "loss": 0.3085, "lr": 4.751107559961238e-05, "epoch": 0.6877022653721683, "percentage": 22.92, "elapsed_time": "13:16:34", "remaining_time": "1 day, 20:38:23"}
86
+ {"current_steps": 860, "total_steps": 3708, "loss": 0.3129, "lr": 4.740770381033894e-05, "epoch": 0.6957928802588996, "percentage": 23.19, "elapsed_time": "13:25:56", "remaining_time": "1 day, 20:29:00"}
87
+ {"current_steps": 870, "total_steps": 3708, "loss": 0.3058, "lr": 4.730234601084268e-05, "epoch": 0.7038834951456311, "percentage": 23.46, "elapsed_time": "13:35:18", "remaining_time": "1 day, 20:19:36"}
88
+ {"current_steps": 880, "total_steps": 3708, "loss": 0.3025, "lr": 4.719501153905793e-05, "epoch": 0.7119741100323624, "percentage": 23.73, "elapsed_time": "13:44:40", "remaining_time": "1 day, 20:10:12"}
89
+ {"current_steps": 890, "total_steps": 3708, "loss": 0.3034, "lr": 4.7085709908112866e-05, "epoch": 0.7200647249190939, "percentage": 24.0, "elapsed_time": "13:54:02", "remaining_time": "1 day, 20:00:50"}
90
+ {"current_steps": 900, "total_steps": 3708, "loss": 0.303, "lr": 4.6974450805486305e-05, "epoch": 0.7281553398058253, "percentage": 24.27, "elapsed_time": "14:03:24", "remaining_time": "1 day, 19:51:27"}
91
+ {"current_steps": 910, "total_steps": 3708, "loss": 0.2975, "lr": 4.686124409214917e-05, "epoch": 0.7362459546925566, "percentage": 24.54, "elapsed_time": "14:12:46", "remaining_time": "1 day, 19:42:03"}
92
+ {"current_steps": 920, "total_steps": 3708, "loss": 0.3002, "lr": 4.674609980169042e-05, "epoch": 0.7443365695792881, "percentage": 24.81, "elapsed_time": "14:22:08", "remaining_time": "1 day, 19:32:40"}
93
+ {"current_steps": 930, "total_steps": 3708, "loss": 0.3051, "lr": 4.662902813942784e-05, "epoch": 0.7524271844660194, "percentage": 25.08, "elapsed_time": "14:31:30", "remaining_time": "1 day, 19:23:17"}
94
+ {"current_steps": 940, "total_steps": 3708, "loss": 0.2962, "lr": 4.651003948150349e-05, "epoch": 0.7605177993527508, "percentage": 25.35, "elapsed_time": "14:40:52", "remaining_time": "1 day, 19:13:53"}
95
+ {"current_steps": 950, "total_steps": 3708, "loss": 0.2959, "lr": 4.638914437396408e-05, "epoch": 0.7686084142394822, "percentage": 25.62, "elapsed_time": "14:50:14", "remaining_time": "1 day, 19:04:30"}
96
+ {"current_steps": 960, "total_steps": 3708, "loss": 0.2951, "lr": 4.626635353182626e-05, "epoch": 0.7766990291262136, "percentage": 25.89, "elapsed_time": "14:59:36", "remaining_time": "1 day, 18:55:08"}
97
+ {"current_steps": 970, "total_steps": 3708, "loss": 0.294, "lr": 4.614167783812694e-05, "epoch": 0.7847896440129449, "percentage": 26.16, "elapsed_time": "15:08:59", "remaining_time": "1 day, 18:45:46"}
98
+ {"current_steps": 980, "total_steps": 3708, "loss": 0.2944, "lr": 4.601512834295874e-05, "epoch": 0.7928802588996764, "percentage": 26.43, "elapsed_time": "15:18:21", "remaining_time": "1 day, 18:36:23"}
99
+ {"current_steps": 990, "total_steps": 3708, "loss": 0.2952, "lr": 4.588671626249057e-05, "epoch": 0.8009708737864077, "percentage": 26.7, "elapsed_time": "15:27:42", "remaining_time": "1 day, 18:27:00"}
100
+ {"current_steps": 1000, "total_steps": 3708, "loss": 0.292, "lr": 4.5756452977973585e-05, "epoch": 0.8090614886731392, "percentage": 26.97, "elapsed_time": "15:37:04", "remaining_time": "1 day, 18:17:36"}
101
+ {"current_steps": 1010, "total_steps": 3708, "loss": 0.3009, "lr": 4.56243500347324e-05, "epoch": 0.8171521035598706, "percentage": 27.24, "elapsed_time": "15:46:26", "remaining_time": "1 day, 18:08:13"}
102
+ {"current_steps": 1020, "total_steps": 3708, "loss": 0.2969, "lr": 4.549041914114188e-05, "epoch": 0.8252427184466019, "percentage": 27.51, "elapsed_time": "15:55:48", "remaining_time": "1 day, 17:58:49"}
103
+ {"current_steps": 1030, "total_steps": 3708, "loss": 0.2981, "lr": 4.535467216758936e-05, "epoch": 0.8333333333333334, "percentage": 27.78, "elapsed_time": "16:05:10", "remaining_time": "1 day, 17:49:27"}
104
+ {"current_steps": 1040, "total_steps": 3708, "loss": 0.2883, "lr": 4.5217121145422616e-05, "epoch": 0.8414239482200647, "percentage": 28.05, "elapsed_time": "16:14:32", "remaining_time": "1 day, 17:40:04"}
105
+ {"current_steps": 1050, "total_steps": 3708, "loss": 0.2927, "lr": 4.5077778265883477e-05, "epoch": 0.8495145631067961, "percentage": 28.32, "elapsed_time": "16:23:54", "remaining_time": "1 day, 17:30:41"}
106
+ {"current_steps": 1060, "total_steps": 3708, "loss": 0.2948, "lr": 4.4936655879027336e-05, "epoch": 0.8576051779935275, "percentage": 28.59, "elapsed_time": "16:33:16", "remaining_time": "1 day, 17:21:18"}
107
+ {"current_steps": 1070, "total_steps": 3708, "loss": 0.2943, "lr": 4.479376649262855e-05, "epoch": 0.8656957928802589, "percentage": 28.86, "elapsed_time": "16:42:38", "remaining_time": "1 day, 17:11:55"}
108
+ {"current_steps": 1080, "total_steps": 3708, "loss": 0.2928, "lr": 4.464912277107185e-05, "epoch": 0.8737864077669902, "percentage": 29.13, "elapsed_time": "16:52:00", "remaining_time": "1 day, 17:02:33"}
109
+ {"current_steps": 1090, "total_steps": 3708, "loss": 0.2909, "lr": 4.450273753422992e-05, "epoch": 0.8818770226537217, "percentage": 29.4, "elapsed_time": "17:01:22", "remaining_time": "1 day, 16:53:09"}
110
+ {"current_steps": 1100, "total_steps": 3708, "loss": 0.2964, "lr": 4.435462375632711e-05, "epoch": 0.889967637540453, "percentage": 29.67, "elapsed_time": "17:10:44", "remaining_time": "1 day, 16:43:46"}
111
+ {"current_steps": 1110, "total_steps": 3708, "loss": 0.2994, "lr": 4.420479456478957e-05, "epoch": 0.8980582524271845, "percentage": 29.94, "elapsed_time": "17:20:06", "remaining_time": "1 day, 16:34:24"}
112
+ {"current_steps": 1120, "total_steps": 3708, "loss": 0.2851, "lr": 4.405326323908178e-05, "epoch": 0.9061488673139159, "percentage": 30.2, "elapsed_time": "17:29:28", "remaining_time": "1 day, 16:25:01"}
113
+ {"current_steps": 1130, "total_steps": 3708, "loss": 0.2914, "lr": 4.390004320952947e-05, "epoch": 0.9142394822006472, "percentage": 30.47, "elapsed_time": "17:38:50", "remaining_time": "1 day, 16:15:39"}
114
+ {"current_steps": 1140, "total_steps": 3708, "loss": 0.2958, "lr": 4.374514805612942e-05, "epoch": 0.9223300970873787, "percentage": 30.74, "elapsed_time": "17:48:12", "remaining_time": "1 day, 16:06:16"}
115
+ {"current_steps": 1150, "total_steps": 3708, "loss": 0.2915, "lr": 4.358859150734576e-05, "epoch": 0.93042071197411, "percentage": 31.01, "elapsed_time": "17:57:34", "remaining_time": "1 day, 15:56:53"}
116
+ {"current_steps": 1160, "total_steps": 3708, "loss": 0.2936, "lr": 4.343038743889324e-05, "epoch": 0.9385113268608414, "percentage": 31.28, "elapsed_time": "18:06:56", "remaining_time": "1 day, 15:47:30"}
117
+ {"current_steps": 1170, "total_steps": 3708, "loss": 0.2921, "lr": 4.3270549872507415e-05, "epoch": 0.9466019417475728, "percentage": 31.55, "elapsed_time": "18:16:18", "remaining_time": "1 day, 15:38:08"}
118
+ {"current_steps": 1180, "total_steps": 3708, "loss": 0.2961, "lr": 4.3109092974701895e-05, "epoch": 0.9546925566343042, "percentage": 31.82, "elapsed_time": "18:25:40", "remaining_time": "1 day, 15:28:45"}
119
+ {"current_steps": 1190, "total_steps": 3708, "loss": 0.2887, "lr": 4.2946031055512733e-05, "epoch": 0.9627831715210357, "percentage": 32.09, "elapsed_time": "18:35:02", "remaining_time": "1 day, 15:19:22"}
120
+ {"current_steps": 1200, "total_steps": 3708, "loss": 0.29, "lr": 4.2781378567230145e-05, "epoch": 0.970873786407767, "percentage": 32.36, "elapsed_time": "18:44:23", "remaining_time": "1 day, 15:09:58"}
121
+ {"current_steps": 1210, "total_steps": 3708, "loss": 0.2886, "lr": 4.2615150103117576e-05, "epoch": 0.9789644012944984, "percentage": 32.63, "elapsed_time": "18:53:45", "remaining_time": "1 day, 15:00:36"}
122
+ {"current_steps": 1220, "total_steps": 3708, "loss": 0.2908, "lr": 4.24473603961183e-05, "epoch": 0.9870550161812298, "percentage": 32.9, "elapsed_time": "19:03:07", "remaining_time": "1 day, 14:51:13"}
123
+ {"current_steps": 1230, "total_steps": 3708, "loss": 0.2924, "lr": 4.227802431754961e-05, "epoch": 0.9951456310679612, "percentage": 33.17, "elapsed_time": "19:12:29", "remaining_time": "1 day, 14:41:50"}
124
+ {"current_steps": 1240, "total_steps": 3708, "loss": 0.2727, "lr": 4.210715687578481e-05, "epoch": 1.0032362459546926, "percentage": 33.44, "elapsed_time": "19:22:26", "remaining_time": "1 day, 14:33:38"}
125
+ {"current_steps": 1250, "total_steps": 3708, "loss": 0.2453, "lr": 4.193477321492293e-05, "epoch": 1.0113268608414239, "percentage": 33.71, "elapsed_time": "19:31:49", "remaining_time": "1 day, 14:24:15"}
126
+ {"current_steps": 1260, "total_steps": 3708, "loss": 0.2414, "lr": 4.176088861344657e-05, "epoch": 1.0194174757281553, "percentage": 33.98, "elapsed_time": "19:41:11", "remaining_time": "1 day, 14:14:53"}
127
+ {"current_steps": 1270, "total_steps": 3708, "loss": 0.2425, "lr": 4.158551848286773e-05, "epoch": 1.0275080906148868, "percentage": 34.25, "elapsed_time": "19:50:33", "remaining_time": "1 day, 14:05:30"}
128
+ {"current_steps": 1280, "total_steps": 3708, "loss": 0.247, "lr": 4.140867836636189e-05, "epoch": 1.035598705501618, "percentage": 34.52, "elapsed_time": "19:59:56", "remaining_time": "1 day, 13:56:07"}
129
+ {"current_steps": 1290, "total_steps": 3708, "loss": 0.239, "lr": 4.1230383937390374e-05, "epoch": 1.0436893203883495, "percentage": 34.79, "elapsed_time": "20:09:17", "remaining_time": "1 day, 13:46:43"}
130
+ {"current_steps": 1300, "total_steps": 3708, "loss": 0.2375, "lr": 4.1050650998311215e-05, "epoch": 1.051779935275081, "percentage": 35.06, "elapsed_time": "20:18:40", "remaining_time": "1 day, 13:37:20"}
131
+ {"current_steps": 1310, "total_steps": 3708, "loss": 0.2479, "lr": 4.086949547897862e-05, "epoch": 1.0598705501618122, "percentage": 35.33, "elapsed_time": "20:28:02", "remaining_time": "1 day, 13:27:57"}
132
+ {"current_steps": 1320, "total_steps": 3708, "loss": 0.2372, "lr": 4.068693343533103e-05, "epoch": 1.0679611650485437, "percentage": 35.6, "elapsed_time": "20:37:23", "remaining_time": "1 day, 13:18:33"}
133
+ {"current_steps": 1330, "total_steps": 3708, "loss": 0.2413, "lr": 4.050298104796812e-05, "epoch": 1.0760517799352751, "percentage": 35.87, "elapsed_time": "20:46:45", "remaining_time": "1 day, 13:09:09"}
134
+ {"current_steps": 1340, "total_steps": 3708, "loss": 0.2454, "lr": 4.0317654620716704e-05, "epoch": 1.0841423948220066, "percentage": 36.14, "elapsed_time": "20:56:07", "remaining_time": "1 day, 12:59:46"}
135
+ {"current_steps": 1350, "total_steps": 3708, "loss": 0.2457, "lr": 4.013097057918566e-05, "epoch": 1.0922330097087378, "percentage": 36.41, "elapsed_time": "21:05:29", "remaining_time": "1 day, 12:50:23"}
136
+ {"current_steps": 1360, "total_steps": 3708, "loss": 0.2406, "lr": 3.9942945469310175e-05, "epoch": 1.1003236245954693, "percentage": 36.68, "elapsed_time": "21:14:51", "remaining_time": "1 day, 12:41:00"}
137
+ {"current_steps": 1370, "total_steps": 3708, "loss": 0.2403, "lr": 3.9753595955885264e-05, "epoch": 1.1084142394822007, "percentage": 36.95, "elapsed_time": "21:24:13", "remaining_time": "1 day, 12:31:37"}
138
+ {"current_steps": 1380, "total_steps": 3708, "loss": 0.2443, "lr": 3.9562938821088705e-05, "epoch": 1.116504854368932, "percentage": 37.22, "elapsed_time": "21:33:35", "remaining_time": "1 day, 12:22:13"}
139
+ {"current_steps": 1390, "total_steps": 3708, "loss": 0.2455, "lr": 3.9370990962993695e-05, "epoch": 1.1245954692556634, "percentage": 37.49, "elapsed_time": "21:42:57", "remaining_time": "1 day, 12:12:50"}
140
+ {"current_steps": 1400, "total_steps": 3708, "loss": 0.2423, "lr": 3.9177769394071086e-05, "epoch": 1.132686084142395, "percentage": 37.76, "elapsed_time": "21:52:18", "remaining_time": "1 day, 12:03:26"}
141
+ {"current_steps": 1410, "total_steps": 3708, "loss": 0.2424, "lr": 3.898329123968163e-05, "epoch": 1.1407766990291262, "percentage": 38.03, "elapsed_time": "22:01:41", "remaining_time": "1 day, 11:54:03"}
142
+ {"current_steps": 1420, "total_steps": 3708, "loss": 0.2383, "lr": 3.87875737365581e-05, "epoch": 1.1488673139158576, "percentage": 38.3, "elapsed_time": "22:11:02", "remaining_time": "1 day, 11:44:40"}
143
+ {"current_steps": 1430, "total_steps": 3708, "loss": 0.2605, "lr": 3.8590634231277626e-05, "epoch": 1.156957928802589, "percentage": 38.57, "elapsed_time": "22:20:24", "remaining_time": "1 day, 11:35:17"}
144
+ {"current_steps": 1440, "total_steps": 3708, "loss": 0.2455, "lr": 3.8392490178724184e-05, "epoch": 1.1650485436893203, "percentage": 38.83, "elapsed_time": "22:29:47", "remaining_time": "1 day, 11:25:55"}
145
+ {"current_steps": 1450, "total_steps": 3708, "loss": 0.2419, "lr": 3.8193159140541645e-05, "epoch": 1.1731391585760518, "percentage": 39.1, "elapsed_time": "22:39:09", "remaining_time": "1 day, 11:16:32"}
146
+ {"current_steps": 1460, "total_steps": 3708, "loss": 0.2422, "lr": 3.7992658783577215e-05, "epoch": 1.1812297734627832, "percentage": 39.37, "elapsed_time": "22:48:31", "remaining_time": "1 day, 11:07:09"}
147
+ {"current_steps": 1470, "total_steps": 3708, "loss": 0.2462, "lr": 3.779100687831563e-05, "epoch": 1.1893203883495145, "percentage": 39.64, "elapsed_time": "22:57:53", "remaining_time": "1 day, 10:57:46"}
148
+ {"current_steps": 1480, "total_steps": 3708, "loss": 0.245, "lr": 3.758822129730415e-05, "epoch": 1.197411003236246, "percentage": 39.91, "elapsed_time": "23:07:15", "remaining_time": "1 day, 10:48:23"}
149
+ {"current_steps": 1490, "total_steps": 3708, "loss": 0.2455, "lr": 3.738432001356851e-05, "epoch": 1.2055016181229774, "percentage": 40.18, "elapsed_time": "23:16:37", "remaining_time": "1 day, 10:39:00"}
150
+ {"current_steps": 1500, "total_steps": 3708, "loss": 0.2369, "lr": 3.7179321099019916e-05, "epoch": 1.2135922330097086, "percentage": 40.45, "elapsed_time": "23:25:59", "remaining_time": "1 day, 10:29:37"}
151
+ {"current_steps": 1510, "total_steps": 3708, "loss": 0.2402, "lr": 3.6973242722853365e-05, "epoch": 1.22168284789644, "percentage": 40.72, "elapsed_time": "23:35:21", "remaining_time": "1 day, 10:20:14"}
152
+ {"current_steps": 1520, "total_steps": 3708, "loss": 0.2427, "lr": 3.6766103149937295e-05, "epoch": 1.2297734627831716, "percentage": 40.99, "elapsed_time": "23:44:43", "remaining_time": "1 day, 10:10:51"}
153
+ {"current_steps": 1530, "total_steps": 3708, "loss": 0.2363, "lr": 3.655792073919471e-05, "epoch": 1.237864077669903, "percentage": 41.26, "elapsed_time": "23:54:05", "remaining_time": "1 day, 10:01:28"}
154
+ {"current_steps": 1540, "total_steps": 3708, "loss": 0.2388, "lr": 3.634871394197607e-05, "epoch": 1.2459546925566343, "percentage": 41.53, "elapsed_time": "1 day, 0:03:27", "remaining_time": "1 day, 9:52:05"}
155
+ {"current_steps": 1550, "total_steps": 3708, "loss": 0.2378, "lr": 3.6138501300423934e-05, "epoch": 1.2540453074433657, "percentage": 41.8, "elapsed_time": "1 day, 0:12:50", "remaining_time": "1 day, 9:42:43"}
156
+ {"current_steps": 1560, "total_steps": 3708, "loss": 0.2341, "lr": 3.592730144582948e-05, "epoch": 1.262135922330097, "percentage": 42.07, "elapsed_time": "1 day, 0:22:11", "remaining_time": "1 day, 9:33:20"}
157
+ {"current_steps": 1570, "total_steps": 3708, "loss": 0.2366, "lr": 3.571513309698131e-05, "epoch": 1.2702265372168284, "percentage": 42.34, "elapsed_time": "1 day, 0:31:34", "remaining_time": "1 day, 9:23:57"}
158
+ {"current_steps": 1580, "total_steps": 3708, "loss": 0.2375, "lr": 3.5502015058506335e-05, "epoch": 1.27831715210356, "percentage": 42.61, "elapsed_time": "1 day, 0:40:56", "remaining_time": "1 day, 9:14:34"}
159
+ {"current_steps": 1590, "total_steps": 3708, "loss": 0.239, "lr": 3.528796621920307e-05, "epoch": 1.2864077669902914, "percentage": 42.88, "elapsed_time": "1 day, 0:50:18", "remaining_time": "1 day, 9:05:11"}
160
+ {"current_steps": 1600, "total_steps": 3708, "loss": 0.2356, "lr": 3.50730055503676e-05, "epoch": 1.2944983818770226, "percentage": 43.15, "elapsed_time": "1 day, 0:59:40", "remaining_time": "1 day, 8:55:49"}
161
+ {"current_steps": 1610, "total_steps": 3708, "loss": 0.2358, "lr": 3.485715210411204e-05, "epoch": 1.302588996763754, "percentage": 43.42, "elapsed_time": "1 day, 1:09:02", "remaining_time": "1 day, 8:46:26"}
162
+ {"current_steps": 1620, "total_steps": 3708, "loss": 0.2408, "lr": 3.4640425011676034e-05, "epoch": 1.3106796116504853, "percentage": 43.69, "elapsed_time": "1 day, 1:18:24", "remaining_time": "1 day, 8:37:03"}
163
+ {"current_steps": 1630, "total_steps": 3708, "loss": 0.2395, "lr": 3.442284348173106e-05, "epoch": 1.3187702265372168, "percentage": 43.96, "elapsed_time": "1 day, 1:27:47", "remaining_time": "1 day, 8:27:41"}
164
+ {"current_steps": 1640, "total_steps": 3708, "loss": 0.2391, "lr": 3.420442679867796e-05, "epoch": 1.3268608414239482, "percentage": 44.23, "elapsed_time": "1 day, 1:37:08", "remaining_time": "1 day, 8:18:18"}
165
+ {"current_steps": 1650, "total_steps": 3708, "loss": 0.2374, "lr": 3.398519432093782e-05, "epoch": 1.3349514563106797, "percentage": 44.5, "elapsed_time": "1 day, 1:46:31", "remaining_time": "1 day, 8:08:55"}
166
+ {"current_steps": 1660, "total_steps": 3708, "loss": 0.2336, "lr": 3.376516547923614e-05, "epoch": 1.343042071197411, "percentage": 44.77, "elapsed_time": "1 day, 1:55:52", "remaining_time": "1 day, 7:59:32"}
167
+ {"current_steps": 1670, "total_steps": 3708, "loss": 0.2371, "lr": 3.3544359774880714e-05, "epoch": 1.3511326860841424, "percentage": 45.04, "elapsed_time": "1 day, 2:05:14", "remaining_time": "1 day, 7:50:09"}
168
+ {"current_steps": 1680, "total_steps": 3708, "loss": 0.2376, "lr": 3.3322796778033204e-05, "epoch": 1.3592233009708738, "percentage": 45.31, "elapsed_time": "1 day, 2:14:37", "remaining_time": "1 day, 7:40:47"}
169
+ {"current_steps": 1690, "total_steps": 3708, "loss": 0.2377, "lr": 3.3100496125974624e-05, "epoch": 1.367313915857605, "percentage": 45.58, "elapsed_time": "1 day, 2:23:58", "remaining_time": "1 day, 7:31:24"}
170
+ {"current_steps": 1700, "total_steps": 3708, "loss": 0.2347, "lr": 3.2877477521364895e-05, "epoch": 1.3754045307443366, "percentage": 45.85, "elapsed_time": "1 day, 2:33:21", "remaining_time": "1 day, 7:22:01"}
171
+ {"current_steps": 1710, "total_steps": 3708, "loss": 0.2297, "lr": 3.2653760730496555e-05, "epoch": 1.383495145631068, "percentage": 46.12, "elapsed_time": "1 day, 2:42:43", "remaining_time": "1 day, 7:12:39"}
172
+ {"current_steps": 1720, "total_steps": 3708, "loss": 0.2356, "lr": 3.242936558154285e-05, "epoch": 1.3915857605177995, "percentage": 46.39, "elapsed_time": "1 day, 2:52:05", "remaining_time": "1 day, 7:03:17"}
173
+ {"current_steps": 1730, "total_steps": 3708, "loss": 0.2322, "lr": 3.2204311962800426e-05, "epoch": 1.3996763754045307, "percentage": 46.66, "elapsed_time": "1 day, 3:01:28", "remaining_time": "1 day, 6:53:54"}
174
+ {"current_steps": 1740, "total_steps": 3708, "loss": 0.2384, "lr": 3.197861982092651e-05, "epoch": 1.4077669902912622, "percentage": 46.93, "elapsed_time": "1 day, 3:10:50", "remaining_time": "1 day, 6:44:31"}
175
+ {"current_steps": 1750, "total_steps": 3708, "loss": 0.2427, "lr": 3.175230915917108e-05, "epoch": 1.4158576051779934, "percentage": 47.2, "elapsed_time": "1 day, 3:20:12", "remaining_time": "1 day, 6:35:09"}
176
+ {"current_steps": 1760, "total_steps": 3708, "loss": 0.2417, "lr": 3.152540003560398e-05, "epoch": 1.4239482200647249, "percentage": 47.46, "elapsed_time": "1 day, 3:29:33", "remaining_time": "1 day, 6:25:46"}
177
+ {"current_steps": 1770, "total_steps": 3708, "loss": 0.2288, "lr": 3.129791256133712e-05, "epoch": 1.4320388349514563, "percentage": 47.73, "elapsed_time": "1 day, 3:38:56", "remaining_time": "1 day, 6:16:23"}
178
+ {"current_steps": 1780, "total_steps": 3708, "loss": 0.2347, "lr": 3.106986689874204e-05, "epoch": 1.4401294498381878, "percentage": 48.0, "elapsed_time": "1 day, 3:48:18", "remaining_time": "1 day, 6:07:01"}
179
+ {"current_steps": 1790, "total_steps": 3708, "loss": 0.2385, "lr": 3.0841283259662875e-05, "epoch": 1.448220064724919, "percentage": 48.27, "elapsed_time": "1 day, 3:57:41", "remaining_time": "1 day, 5:57:39"}
180
+ {"current_steps": 1800, "total_steps": 3708, "loss": 0.2359, "lr": 3.0612181903625014e-05, "epoch": 1.4563106796116505, "percentage": 48.54, "elapsed_time": "1 day, 4:07:02", "remaining_time": "1 day, 5:48:16"}
181
+ {"current_steps": 1810, "total_steps": 3708, "loss": 0.2339, "lr": 3.0382583136039444e-05, "epoch": 1.4644012944983817, "percentage": 48.81, "elapsed_time": "1 day, 4:16:24", "remaining_time": "1 day, 5:38:53"}
182
+ {"current_steps": 1820, "total_steps": 3708, "loss": 0.237, "lr": 3.015250730640308e-05, "epoch": 1.4724919093851132, "percentage": 49.08, "elapsed_time": "1 day, 4:25:46", "remaining_time": "1 day, 5:29:30"}
183
+ {"current_steps": 1830, "total_steps": 3708, "loss": 0.2301, "lr": 2.9921974806495178e-05, "epoch": 1.4805825242718447, "percentage": 49.35, "elapsed_time": "1 day, 4:35:08", "remaining_time": "1 day, 5:20:08"}
184
+ {"current_steps": 1840, "total_steps": 3708, "loss": 0.2339, "lr": 2.969100606856998e-05, "epoch": 1.4886731391585761, "percentage": 49.62, "elapsed_time": "1 day, 4:44:31", "remaining_time": "1 day, 5:10:45"}
185
+ {"current_steps": 1850, "total_steps": 3708, "loss": 0.2385, "lr": 2.9459621563545825e-05, "epoch": 1.4967637540453074, "percentage": 49.89, "elapsed_time": "1 day, 4:53:53", "remaining_time": "1 day, 5:01:23"}
186
+ {"current_steps": 1860, "total_steps": 3708, "loss": 0.2305, "lr": 2.9227841799190775e-05, "epoch": 1.5048543689320388, "percentage": 50.16, "elapsed_time": "1 day, 5:03:15", "remaining_time": "1 day, 4:52:00"}
187
+ {"current_steps": 1870, "total_steps": 3708, "loss": 0.2328, "lr": 2.8995687318304975e-05, "epoch": 1.51294498381877, "percentage": 50.43, "elapsed_time": "1 day, 5:12:37", "remaining_time": "1 day, 4:42:37"}
188
+ {"current_steps": 1880, "total_steps": 3708, "loss": 0.2373, "lr": 2.8763178696899995e-05, "epoch": 1.5210355987055015, "percentage": 50.7, "elapsed_time": "1 day, 5:21:59", "remaining_time": "1 day, 4:33:15"}
189
+ {"current_steps": 1890, "total_steps": 3708, "loss": 0.2289, "lr": 2.853033654237507e-05, "epoch": 1.529126213592233, "percentage": 50.97, "elapsed_time": "1 day, 5:31:22", "remaining_time": "1 day, 4:23:53"}
190
+ {"current_steps": 1900, "total_steps": 3708, "loss": 0.23, "lr": 2.8297181491690756e-05, "epoch": 1.5372168284789645, "percentage": 51.24, "elapsed_time": "1 day, 5:40:44", "remaining_time": "1 day, 4:14:30"}
191
+ {"current_steps": 1910, "total_steps": 3708, "loss": 0.2367, "lr": 2.8063734209539773e-05, "epoch": 1.545307443365696, "percentage": 51.51, "elapsed_time": "1 day, 5:50:06", "remaining_time": "1 day, 4:05:08"}
192
+ {"current_steps": 1920, "total_steps": 3708, "loss": 0.2292, "lr": 2.783001538651554e-05, "epoch": 1.5533980582524272, "percentage": 51.78, "elapsed_time": "1 day, 5:59:28", "remaining_time": "1 day, 3:55:45"}
193
+ {"current_steps": 1930, "total_steps": 3708, "loss": 0.2398, "lr": 2.7596045737278336e-05, "epoch": 1.5614886731391586, "percentage": 52.05, "elapsed_time": "1 day, 6:08:51", "remaining_time": "1 day, 3:46:23"}
194
+ {"current_steps": 1940, "total_steps": 3708, "loss": 0.2325, "lr": 2.7361845998719315e-05, "epoch": 1.5695792880258899, "percentage": 52.32, "elapsed_time": "1 day, 6:18:13", "remaining_time": "1 day, 3:37:00"}
195
+ {"current_steps": 1950, "total_steps": 3708, "loss": 0.2367, "lr": 2.7127436928122612e-05, "epoch": 1.5776699029126213, "percentage": 52.59, "elapsed_time": "1 day, 6:27:35", "remaining_time": "1 day, 3:27:38"}
196
+ {"current_steps": 1960, "total_steps": 3708, "loss": 0.239, "lr": 2.6892839301325623e-05, "epoch": 1.5857605177993528, "percentage": 52.86, "elapsed_time": "1 day, 6:36:57", "remaining_time": "1 day, 3:18:15"}
197
+ {"current_steps": 1970, "total_steps": 3708, "loss": 0.2288, "lr": 2.6658073910877603e-05, "epoch": 1.5938511326860842, "percentage": 53.13, "elapsed_time": "1 day, 6:46:18", "remaining_time": "1 day, 3:08:52"}
198
+ {"current_steps": 1980, "total_steps": 3708, "loss": 0.231, "lr": 2.6423161564196803e-05, "epoch": 1.6019417475728155, "percentage": 53.4, "elapsed_time": "1 day, 6:55:40", "remaining_time": "1 day, 2:59:30"}
199
+ {"current_steps": 1990, "total_steps": 3708, "loss": 0.2341, "lr": 2.6188123081726306e-05, "epoch": 1.610032362459547, "percentage": 53.67, "elapsed_time": "1 day, 7:05:03", "remaining_time": "1 day, 2:50:07"}
200
+ {"current_steps": 2000, "total_steps": 3708, "loss": 0.2303, "lr": 2.5952979295088714e-05, "epoch": 1.6181229773462782, "percentage": 53.94, "elapsed_time": "1 day, 7:14:25", "remaining_time": "1 day, 2:40:45"}
201
+ {"current_steps": 2010, "total_steps": 3708, "loss": 0.2297, "lr": 2.57177510452398e-05, "epoch": 1.6262135922330097, "percentage": 54.21, "elapsed_time": "1 day, 7:23:47", "remaining_time": "1 day, 2:31:22"}
202
+ {"current_steps": 2020, "total_steps": 3708, "loss": 0.2336, "lr": 2.5482459180621377e-05, "epoch": 1.6343042071197411, "percentage": 54.48, "elapsed_time": "1 day, 7:33:09", "remaining_time": "1 day, 2:22:00"}
203
+ {"current_steps": 2030, "total_steps": 3708, "loss": 0.2283, "lr": 2.524712455531347e-05, "epoch": 1.6423948220064726, "percentage": 54.75, "elapsed_time": "1 day, 7:42:31", "remaining_time": "1 day, 2:12:38"}
204
+ {"current_steps": 2040, "total_steps": 3708, "loss": 0.2367, "lr": 2.501176802718599e-05, "epoch": 1.650485436893204, "percentage": 55.02, "elapsed_time": "1 day, 7:51:54", "remaining_time": "1 day, 2:03:15"}
205
+ {"current_steps": 2050, "total_steps": 3708, "loss": 0.232, "lr": 2.4776410456050165e-05, "epoch": 1.6585760517799353, "percentage": 55.29, "elapsed_time": "1 day, 8:01:16", "remaining_time": "1 day, 1:53:53"}
206
+ {"current_steps": 2060, "total_steps": 3708, "loss": 0.2348, "lr": 2.4541072701809624e-05, "epoch": 1.6666666666666665, "percentage": 55.56, "elapsed_time": "1 day, 8:10:38", "remaining_time": "1 day, 1:44:30"}
207
+ {"current_steps": 2070, "total_steps": 3708, "loss": 0.2285, "lr": 2.4305775622611627e-05, "epoch": 1.674757281553398, "percentage": 55.83, "elapsed_time": "1 day, 8:20:00", "remaining_time": "1 day, 1:35:08"}
208
+ {"current_steps": 2080, "total_steps": 3708, "loss": 0.2272, "lr": 2.4070540072998372e-05, "epoch": 1.6828478964401294, "percentage": 56.09, "elapsed_time": "1 day, 8:29:22", "remaining_time": "1 day, 1:25:45"}
209
+ {"current_steps": 2090, "total_steps": 3708, "loss": 0.2292, "lr": 2.3835386902058637e-05, "epoch": 1.690938511326861, "percentage": 56.36, "elapsed_time": "1 day, 8:38:44", "remaining_time": "1 day, 1:16:23"}
210
+ {"current_steps": 2100, "total_steps": 3708, "loss": 0.2337, "lr": 2.360033695157995e-05, "epoch": 1.6990291262135924, "percentage": 56.63, "elapsed_time": "1 day, 8:48:06", "remaining_time": "1 day, 1:07:00"}
211
+ {"current_steps": 2110, "total_steps": 3708, "loss": 0.2265, "lr": 2.3365411054201315e-05, "epoch": 1.7071197411003236, "percentage": 56.9, "elapsed_time": "1 day, 8:57:27", "remaining_time": "1 day, 0:57:37"}
212
+ {"current_steps": 2120, "total_steps": 3708, "loss": 0.2269, "lr": 2.3130630031566818e-05, "epoch": 1.715210355987055, "percentage": 57.17, "elapsed_time": "1 day, 9:06:49", "remaining_time": "1 day, 0:48:15"}
213
+ {"current_steps": 2130, "total_steps": 3708, "loss": 0.231, "lr": 2.2896014692480226e-05, "epoch": 1.7233009708737863, "percentage": 57.44, "elapsed_time": "1 day, 9:16:12", "remaining_time": "1 day, 0:38:52"}
214
+ {"current_steps": 2140, "total_steps": 3708, "loss": 0.228, "lr": 2.266158583106063e-05, "epoch": 1.7313915857605178, "percentage": 57.71, "elapsed_time": "1 day, 9:25:34", "remaining_time": "1 day, 0:29:30"}
215
+ {"current_steps": 2150, "total_steps": 3708, "loss": 0.2289, "lr": 2.2427364224899502e-05, "epoch": 1.7394822006472492, "percentage": 57.98, "elapsed_time": "1 day, 9:34:56", "remaining_time": "1 day, 0:20:07"}
216
+ {"current_steps": 2160, "total_steps": 3708, "loss": 0.2295, "lr": 2.2193370633219115e-05, "epoch": 1.7475728155339807, "percentage": 58.25, "elapsed_time": "1 day, 9:44:18", "remaining_time": "1 day, 0:10:45"}
217
+ {"current_steps": 2170, "total_steps": 3708, "loss": 0.2312, "lr": 2.1959625795032664e-05, "epoch": 1.755663430420712, "percentage": 58.52, "elapsed_time": "1 day, 9:53:41", "remaining_time": "1 day, 0:01:23"}
218
+ {"current_steps": 2180, "total_steps": 3708, "loss": 0.2286, "lr": 2.1726150427306182e-05, "epoch": 1.7637540453074434, "percentage": 58.79, "elapsed_time": "1 day, 10:03:03", "remaining_time": "23:52:00"}
219
+ {"current_steps": 2190, "total_steps": 3708, "loss": 0.2267, "lr": 2.1492965223122305e-05, "epoch": 1.7718446601941746, "percentage": 59.06, "elapsed_time": "1 day, 10:12:25", "remaining_time": "23:42:38"}
220
+ {"current_steps": 2200, "total_steps": 3708, "loss": 0.2251, "lr": 2.126009084984629e-05, "epoch": 1.779935275080906, "percentage": 59.33, "elapsed_time": "1 day, 10:21:47", "remaining_time": "23:33:16"}
221
+ {"current_steps": 2210, "total_steps": 3708, "loss": 0.2246, "lr": 2.102754794729426e-05, "epoch": 1.7880258899676376, "percentage": 59.6, "elapsed_time": "1 day, 10:31:09", "remaining_time": "23:23:53"}
222
+ {"current_steps": 2220, "total_steps": 3708, "loss": 0.2282, "lr": 2.079535712590382e-05, "epoch": 1.796116504854369, "percentage": 59.87, "elapsed_time": "1 day, 10:40:31", "remaining_time": "23:14:31"}
223
+ {"current_steps": 2230, "total_steps": 3708, "loss": 0.2231, "lr": 2.056353896490742e-05, "epoch": 1.8042071197411005, "percentage": 60.14, "elapsed_time": "1 day, 10:49:54", "remaining_time": "23:05:08"}
224
+ {"current_steps": 2240, "total_steps": 3708, "loss": 0.2268, "lr": 2.0332114010508334e-05, "epoch": 1.8122977346278317, "percentage": 60.41, "elapsed_time": "1 day, 10:59:16", "remaining_time": "22:55:46"}
225
+ {"current_steps": 2250, "total_steps": 3708, "loss": 0.2274, "lr": 2.010110277405966e-05, "epoch": 1.820388349514563, "percentage": 60.68, "elapsed_time": "1 day, 11:08:38", "remaining_time": "22:46:24"}
226
+ {"current_steps": 2260, "total_steps": 3708, "loss": 0.2293, "lr": 1.9870525730246424e-05, "epoch": 1.8284789644012944, "percentage": 60.95, "elapsed_time": "1 day, 11:18:01", "remaining_time": "22:37:01"}
227
+ {"current_steps": 2270, "total_steps": 3708, "loss": 0.2286, "lr": 1.9640403315270824e-05, "epoch": 1.8365695792880259, "percentage": 61.22, "elapsed_time": "1 day, 11:27:23", "remaining_time": "22:27:39"}
228
+ {"current_steps": 2280, "total_steps": 3708, "loss": 0.2257, "lr": 1.9410755925041006e-05, "epoch": 1.8446601941747574, "percentage": 61.49, "elapsed_time": "1 day, 11:36:45", "remaining_time": "22:18:17"}
229
+ {"current_steps": 2290, "total_steps": 3708, "loss": 0.2259, "lr": 1.918160391336335e-05, "epoch": 1.8527508090614888, "percentage": 61.76, "elapsed_time": "1 day, 11:46:07", "remaining_time": "22:08:54"}
230
+ {"current_steps": 2300, "total_steps": 3708, "loss": 0.2248, "lr": 1.8952967590138472e-05, "epoch": 1.86084142394822, "percentage": 62.03, "elapsed_time": "1 day, 11:55:29", "remaining_time": "21:59:31"}
231
+ {"current_steps": 2310, "total_steps": 3708, "loss": 0.2287, "lr": 1.8724867219561203e-05, "epoch": 1.8689320388349513, "percentage": 62.3, "elapsed_time": "1 day, 12:04:51", "remaining_time": "21:50:09"}
232
+ {"current_steps": 2320, "total_steps": 3708, "loss": 0.2252, "lr": 1.8497323018324476e-05, "epoch": 1.8770226537216828, "percentage": 62.57, "elapsed_time": "1 day, 12:14:13", "remaining_time": "21:40:47"}
233
+ {"current_steps": 2330, "total_steps": 3708, "loss": 0.2243, "lr": 1.8270355153827598e-05, "epoch": 1.8851132686084142, "percentage": 62.84, "elapsed_time": "1 day, 12:23:35", "remaining_time": "21:31:24"}
234
+ {"current_steps": 2340, "total_steps": 3708, "loss": 0.2231, "lr": 1.804398374238872e-05, "epoch": 1.8932038834951457, "percentage": 63.11, "elapsed_time": "1 day, 12:32:57", "remaining_time": "21:22:02"}
235
+ {"current_steps": 2350, "total_steps": 3708, "loss": 0.2203, "lr": 1.781822884746196e-05, "epoch": 1.9012944983818771, "percentage": 63.38, "elapsed_time": "1 day, 12:42:20", "remaining_time": "21:12:40"}
236
+ {"current_steps": 2360, "total_steps": 3708, "loss": 0.223, "lr": 1.7593110477859153e-05, "epoch": 1.9093851132686084, "percentage": 63.65, "elapsed_time": "1 day, 12:51:42", "remaining_time": "21:03:17"}
237
+ {"current_steps": 2370, "total_steps": 3708, "loss": 0.2233, "lr": 1.736864858597645e-05, "epoch": 1.9174757281553398, "percentage": 63.92, "elapsed_time": "1 day, 13:01:04", "remaining_time": "20:53:55"}
238
+ {"current_steps": 2380, "total_steps": 3708, "loss": 0.2193, "lr": 1.7144863066025955e-05, "epoch": 1.925566343042071, "percentage": 64.19, "elapsed_time": "1 day, 13:10:26", "remaining_time": "20:44:32"}
239
+ {"current_steps": 2390, "total_steps": 3708, "loss": 0.2251, "lr": 1.692177375227242e-05, "epoch": 1.9336569579288025, "percentage": 64.46, "elapsed_time": "1 day, 13:19:48", "remaining_time": "20:35:10"}
240
+ {"current_steps": 2400, "total_steps": 3708, "loss": 0.218, "lr": 1.669940041727538e-05, "epoch": 1.941747572815534, "percentage": 64.72, "elapsed_time": "1 day, 13:29:10", "remaining_time": "20:25:48"}
241
+ {"current_steps": 2410, "total_steps": 3708, "loss": 0.225, "lr": 1.6477762770136707e-05, "epoch": 1.9498381877022655, "percentage": 64.99, "elapsed_time": "1 day, 13:38:32", "remaining_time": "20:16:25"}
242
+ {"current_steps": 2420, "total_steps": 3708, "loss": 0.2208, "lr": 1.625688045475371e-05, "epoch": 1.9579288025889967, "percentage": 65.26, "elapsed_time": "1 day, 13:47:54", "remaining_time": "20:07:03"}
243
+ {"current_steps": 2430, "total_steps": 3708, "loss": 0.2223, "lr": 1.603677304807815e-05, "epoch": 1.9660194174757282, "percentage": 65.53, "elapsed_time": "1 day, 13:57:16", "remaining_time": "19:57:40"}
244
+ {"current_steps": 2440, "total_steps": 3708, "loss": 0.2274, "lr": 1.5817460058381088e-05, "epoch": 1.9741100323624594, "percentage": 65.8, "elapsed_time": "1 day, 14:06:39", "remaining_time": "19:48:18"}
245
+ {"current_steps": 2450, "total_steps": 3708, "loss": 0.2248, "lr": 1.5598960923523842e-05, "epoch": 1.9822006472491909, "percentage": 66.07, "elapsed_time": "1 day, 14:16:01", "remaining_time": "19:38:56"}
246
+ {"current_steps": 2460, "total_steps": 3708, "loss": 0.2277, "lr": 1.5381295009235262e-05, "epoch": 1.9902912621359223, "percentage": 66.34, "elapsed_time": "1 day, 14:25:23", "remaining_time": "19:29:33"}
247
+ {"current_steps": 2470, "total_steps": 3708, "loss": 0.2243, "lr": 1.5164481607395238e-05, "epoch": 1.9983818770226538, "percentage": 66.61, "elapsed_time": "1 day, 14:34:45", "remaining_time": "19:20:11"}
248
+ {"current_steps": 2480, "total_steps": 3708, "loss": 0.1818, "lr": 1.4948539934324923e-05, "epoch": 2.0064724919093853, "percentage": 66.88, "elapsed_time": "1 day, 14:44:43", "remaining_time": "19:11:06"}
249
+ {"current_steps": 2490, "total_steps": 3708, "loss": 0.1718, "lr": 1.4733489129083534e-05, "epoch": 2.0145631067961167, "percentage": 67.15, "elapsed_time": "1 day, 14:54:06", "remaining_time": "19:01:44"}
250
+ {"current_steps": 2500, "total_steps": 3708, "loss": 0.1696, "lr": 1.4519348251772058e-05, "epoch": 2.0226537216828477, "percentage": 67.42, "elapsed_time": "1 day, 15:03:28", "remaining_time": "18:52:21"}
251
+ {"current_steps": 2510, "total_steps": 3708, "loss": 0.1691, "lr": 1.4306136281843962e-05, "epoch": 2.030744336569579, "percentage": 67.69, "elapsed_time": "1 day, 15:12:50", "remaining_time": "18:42:59"}
252
+ {"current_steps": 2520, "total_steps": 3708, "loss": 0.169, "lr": 1.4093872116422979e-05, "epoch": 2.0388349514563107, "percentage": 67.96, "elapsed_time": "1 day, 15:22:12", "remaining_time": "18:33:36"}
253
+ {"current_steps": 2530, "total_steps": 3708, "loss": 0.168, "lr": 1.3882574568628315e-05, "epoch": 2.046925566343042, "percentage": 68.23, "elapsed_time": "1 day, 15:31:34", "remaining_time": "18:24:14"}
254
+ {"current_steps": 2540, "total_steps": 3708, "loss": 0.1684, "lr": 1.3672262365907163e-05, "epoch": 2.0550161812297736, "percentage": 68.5, "elapsed_time": "1 day, 15:40:57", "remaining_time": "18:14:51"}
255
+ {"current_steps": 2550, "total_steps": 3708, "loss": 0.1661, "lr": 1.3462954148374899e-05, "epoch": 2.063106796116505, "percentage": 68.77, "elapsed_time": "1 day, 15:50:19", "remaining_time": "18:05:29"}
256
+ {"current_steps": 2560, "total_steps": 3708, "loss": 0.1696, "lr": 1.3254668467163029e-05, "epoch": 2.071197411003236, "percentage": 69.04, "elapsed_time": "1 day, 15:59:41", "remaining_time": "17:56:06"}
257
+ {"current_steps": 2570, "total_steps": 3708, "loss": 0.1649, "lr": 1.3047423782774937e-05, "epoch": 2.0792880258899675, "percentage": 69.31, "elapsed_time": "1 day, 16:09:03", "remaining_time": "17:46:44"}
258
+ {"current_steps": 2580, "total_steps": 3708, "loss": 0.1719, "lr": 1.2841238463449743e-05, "epoch": 2.087378640776699, "percentage": 69.58, "elapsed_time": "1 day, 16:18:25", "remaining_time": "17:37:21"}
259
+ {"current_steps": 2590, "total_steps": 3708, "loss": 0.1703, "lr": 1.2636130783534319e-05, "epoch": 2.0954692556634305, "percentage": 69.85, "elapsed_time": "1 day, 16:27:47", "remaining_time": "17:27:58"}
260
+ {"current_steps": 2600, "total_steps": 3708, "loss": 0.168, "lr": 1.2432118921863604e-05, "epoch": 2.103559870550162, "percentage": 70.12, "elapsed_time": "1 day, 16:37:09", "remaining_time": "17:18:36"}
261
+ {"current_steps": 2610, "total_steps": 3708, "loss": 0.1695, "lr": 1.2229220960149431e-05, "epoch": 2.1116504854368934, "percentage": 70.39, "elapsed_time": "1 day, 16:46:31", "remaining_time": "17:09:13"}
262
+ {"current_steps": 2620, "total_steps": 3708, "loss": 0.1675, "lr": 1.2027454881377889e-05, "epoch": 2.1197411003236244, "percentage": 70.66, "elapsed_time": "1 day, 16:55:53", "remaining_time": "16:59:51"}
263
+ {"current_steps": 2630, "total_steps": 3708, "loss": 0.1685, "lr": 1.1826838568215526e-05, "epoch": 2.127831715210356, "percentage": 70.93, "elapsed_time": "1 day, 17:05:16", "remaining_time": "16:50:28"}
264
+ {"current_steps": 2640, "total_steps": 3708, "loss": 0.1706, "lr": 1.1627389801424351e-05, "epoch": 2.1359223300970873, "percentage": 71.2, "elapsed_time": "1 day, 17:14:38", "remaining_time": "16:41:06"}
265
+ {"current_steps": 2650, "total_steps": 3708, "loss": 0.1661, "lr": 1.1429126258285946e-05, "epoch": 2.144012944983819, "percentage": 71.47, "elapsed_time": "1 day, 17:24:00", "remaining_time": "16:31:43"}
266
+ {"current_steps": 2660, "total_steps": 3708, "loss": 0.1663, "lr": 1.1232065511034696e-05, "epoch": 2.1521035598705502, "percentage": 71.74, "elapsed_time": "1 day, 17:33:21", "remaining_time": "16:22:20"}
267
+ {"current_steps": 2670, "total_steps": 3708, "loss": 0.1687, "lr": 1.1036225025300357e-05, "epoch": 2.1601941747572817, "percentage": 72.01, "elapsed_time": "1 day, 17:42:43", "remaining_time": "16:12:58"}
268
+ {"current_steps": 2680, "total_steps": 3708, "loss": 0.1668, "lr": 1.0841622158560085e-05, "epoch": 2.168284789644013, "percentage": 72.28, "elapsed_time": "1 day, 17:52:05", "remaining_time": "16:03:35"}
269
+ {"current_steps": 2690, "total_steps": 3708, "loss": 0.1698, "lr": 1.0648274158599994e-05, "epoch": 2.176375404530744, "percentage": 72.55, "elapsed_time": "1 day, 18:01:27", "remaining_time": "15:54:13"}
270
+ {"current_steps": 2700, "total_steps": 3708, "loss": 0.1753, "lr": 1.0456198161986489e-05, "epoch": 2.1844660194174756, "percentage": 72.82, "elapsed_time": "1 day, 18:10:49", "remaining_time": "15:44:50"}
271
+ {"current_steps": 2710, "total_steps": 3708, "loss": 0.1718, "lr": 1.0265411192547462e-05, "epoch": 2.192556634304207, "percentage": 73.09, "elapsed_time": "1 day, 18:20:10", "remaining_time": "15:35:27"}
272
+ {"current_steps": 2720, "total_steps": 3708, "loss": 0.1661, "lr": 1.0075930159863416e-05, "epoch": 2.2006472491909386, "percentage": 73.35, "elapsed_time": "1 day, 18:29:33", "remaining_time": "15:26:05"}
273
+ {"current_steps": 2730, "total_steps": 3708, "loss": 0.1683, "lr": 9.887771857768796e-06, "epoch": 2.20873786407767, "percentage": 73.62, "elapsed_time": "1 day, 18:38:55", "remaining_time": "15:16:42"}
274
+ {"current_steps": 2740, "total_steps": 3708, "loss": 0.1701, "lr": 9.700952962863513e-06, "epoch": 2.2168284789644015, "percentage": 73.89, "elapsed_time": "1 day, 18:48:17", "remaining_time": "15:07:20"}
275
+ {"current_steps": 2750, "total_steps": 3708, "loss": 0.1667, "lr": 9.515490033034893e-06, "epoch": 2.2249190938511325, "percentage": 74.16, "elapsed_time": "1 day, 18:57:38", "remaining_time": "14:57:57"}
276
+ {"current_steps": 2760, "total_steps": 3708, "loss": 0.1655, "lr": 9.331399505990168e-06, "epoch": 2.233009708737864, "percentage": 74.43, "elapsed_time": "1 day, 19:07:00", "remaining_time": "14:48:34"}
277
+ {"current_steps": 2770, "total_steps": 3708, "loss": 0.1694, "lr": 9.148697697799533e-06, "epoch": 2.2411003236245954, "percentage": 74.7, "elapsed_time": "1 day, 19:16:22", "remaining_time": "14:39:12"}
278
+ {"current_steps": 2780, "total_steps": 3708, "loss": 0.1685, "lr": 8.967400801450105e-06, "epoch": 2.249190938511327, "percentage": 74.97, "elapsed_time": "1 day, 19:25:44", "remaining_time": "14:29:49"}
279
+ {"current_steps": 2790, "total_steps": 3708, "loss": 0.1638, "lr": 8.787524885410678e-06, "epoch": 2.2572815533980584, "percentage": 75.24, "elapsed_time": "1 day, 19:35:06", "remaining_time": "14:20:27"}
280
+ {"current_steps": 2800, "total_steps": 3708, "loss": 0.1676, "lr": 8.60908589220758e-06, "epoch": 2.26537216828479, "percentage": 75.51, "elapsed_time": "1 day, 19:44:28", "remaining_time": "14:11:04"}
281
+ {"current_steps": 2810, "total_steps": 3708, "loss": 0.1657, "lr": 8.432099637011693e-06, "epoch": 2.273462783171521, "percentage": 75.78, "elapsed_time": "1 day, 19:53:50", "remaining_time": "14:01:42"}
282
+ {"current_steps": 2820, "total_steps": 3708, "loss": 0.1649, "lr": 8.256581806236704e-06, "epoch": 2.2815533980582523, "percentage": 76.05, "elapsed_time": "1 day, 20:03:12", "remaining_time": "13:52:19"}
283
+ {"current_steps": 2830, "total_steps": 3708, "loss": 0.1663, "lr": 8.082547956148873e-06, "epoch": 2.2896440129449838, "percentage": 76.32, "elapsed_time": "1 day, 20:12:35", "remaining_time": "13:42:57"}
284
+ {"current_steps": 2840, "total_steps": 3708, "loss": 0.1653, "lr": 7.91001351148819e-06, "epoch": 2.2977346278317152, "percentage": 76.59, "elapsed_time": "1 day, 20:21:57", "remaining_time": "13:33:35"}
285
+ {"current_steps": 2850, "total_steps": 3708, "loss": 0.1677, "lr": 7.738993764101324e-06, "epoch": 2.3058252427184467, "percentage": 76.86, "elapsed_time": "1 day, 20:31:19", "remaining_time": "13:24:12"}
286
+ {"current_steps": 2860, "total_steps": 3708, "loss": 0.1674, "lr": 7.569503871586292e-06, "epoch": 2.313915857605178, "percentage": 77.13, "elapsed_time": "1 day, 20:40:41", "remaining_time": "13:14:50"}
287
+ {"current_steps": 2870, "total_steps": 3708, "loss": 0.1678, "lr": 7.401558855949004e-06, "epoch": 2.3220064724919096, "percentage": 77.4, "elapsed_time": "1 day, 20:50:03", "remaining_time": "13:05:27"}
288
+ {"current_steps": 2880, "total_steps": 3708, "loss": 0.162, "lr": 7.235173602271875e-06, "epoch": 2.3300970873786406, "percentage": 77.67, "elapsed_time": "1 day, 20:59:26", "remaining_time": "12:56:05"}
289
+ {"current_steps": 2890, "total_steps": 3708, "loss": 0.1712, "lr": 7.070362857394538e-06, "epoch": 2.338187702265372, "percentage": 77.94, "elapsed_time": "1 day, 21:08:49", "remaining_time": "12:46:43"}
290
+ {"current_steps": 2900, "total_steps": 3708, "loss": 0.1664, "lr": 6.907141228606831e-06, "epoch": 2.3462783171521036, "percentage": 78.21, "elapsed_time": "1 day, 21:18:11", "remaining_time": "12:37:20"}
291
+ {"current_steps": 2910, "total_steps": 3708, "loss": 0.1634, "lr": 6.745523182354147e-06, "epoch": 2.354368932038835, "percentage": 78.48, "elapsed_time": "1 day, 21:27:33", "remaining_time": "12:27:58"}
292
+ {"current_steps": 2920, "total_steps": 3708, "loss": 0.1633, "lr": 6.585523042955233e-06, "epoch": 2.3624595469255665, "percentage": 78.75, "elapsed_time": "1 day, 21:36:55", "remaining_time": "12:18:35"}
293
+ {"current_steps": 2930, "total_steps": 3708, "loss": 0.1665, "lr": 6.427154991332665e-06, "epoch": 2.3705501618122975, "percentage": 79.02, "elapsed_time": "1 day, 21:46:17", "remaining_time": "12:09:13"}
294
+ {"current_steps": 2940, "total_steps": 3708, "loss": 0.1632, "lr": 6.2704330637559315e-06, "epoch": 2.378640776699029, "percentage": 79.29, "elapsed_time": "1 day, 21:55:39", "remaining_time": "11:59:50"}
295
+ {"current_steps": 2950, "total_steps": 3708, "loss": 0.1657, "lr": 6.115371150597413e-06, "epoch": 2.3867313915857604, "percentage": 79.56, "elapsed_time": "1 day, 22:05:02", "remaining_time": "11:50:28"}
296
+ {"current_steps": 2960, "total_steps": 3708, "loss": 0.1652, "lr": 5.961982995101301e-06, "epoch": 2.394822006472492, "percentage": 79.83, "elapsed_time": "1 day, 22:14:24", "remaining_time": "11:41:06"}
297
+ {"current_steps": 2970, "total_steps": 3708, "loss": 0.1674, "lr": 5.810282192165442e-06, "epoch": 2.4029126213592233, "percentage": 80.1, "elapsed_time": "1 day, 22:23:47", "remaining_time": "11:31:43"}
298
+ {"current_steps": 2980, "total_steps": 3708, "loss": 0.1648, "lr": 5.660282187136507e-06, "epoch": 2.411003236245955, "percentage": 80.37, "elapsed_time": "1 day, 22:33:10", "remaining_time": "11:22:21"}
299
+ {"current_steps": 2990, "total_steps": 3708, "loss": 0.1673, "lr": 5.511996274618253e-06, "epoch": 2.4190938511326863, "percentage": 80.64, "elapsed_time": "1 day, 22:42:32", "remaining_time": "11:12:59"}
300
+ {"current_steps": 3000, "total_steps": 3708, "loss": 0.1681, "lr": 5.365437597293238e-06, "epoch": 2.4271844660194173, "percentage": 80.91, "elapsed_time": "1 day, 22:51:55", "remaining_time": "11:03:36"}
301
+ {"current_steps": 3010, "total_steps": 3708, "loss": 0.168, "lr": 5.220619144757996e-06, "epoch": 2.4352750809061487, "percentage": 81.18, "elapsed_time": "1 day, 23:01:19", "remaining_time": "10:54:14"}
302
+ {"current_steps": 3020, "total_steps": 3708, "loss": 0.1695, "lr": 5.077553752371708e-06, "epoch": 2.44336569579288, "percentage": 81.45, "elapsed_time": "1 day, 23:10:43", "remaining_time": "10:44:52"}
303
+ {"current_steps": 3030, "total_steps": 3708, "loss": 0.1626, "lr": 4.936254100118656e-06, "epoch": 2.4514563106796117, "percentage": 81.72, "elapsed_time": "1 day, 23:20:05", "remaining_time": "10:35:30"}
304
+ {"current_steps": 3040, "total_steps": 3708, "loss": 0.1688, "lr": 4.796732711484342e-06, "epoch": 2.459546925566343, "percentage": 81.98, "elapsed_time": "1 day, 23:29:29", "remaining_time": "10:26:08"}
305
+ {"current_steps": 3050, "total_steps": 3708, "loss": 0.1618, "lr": 4.659001952345538e-06, "epoch": 2.4676375404530746, "percentage": 82.25, "elapsed_time": "1 day, 23:38:52", "remaining_time": "10:16:46"}
306
+ {"current_steps": 3060, "total_steps": 3708, "loss": 0.1611, "lr": 4.523074029874291e-06, "epoch": 2.475728155339806, "percentage": 82.52, "elapsed_time": "1 day, 23:48:16", "remaining_time": "10:07:23"}
307
+ {"current_steps": 3070, "total_steps": 3708, "loss": 0.1642, "lr": 4.388960991455998e-06, "epoch": 2.483818770226537, "percentage": 82.79, "elapsed_time": "1 day, 23:57:39", "remaining_time": "9:58:01"}
308
+ {"current_steps": 3080, "total_steps": 3708, "loss": 0.165, "lr": 4.256674723621621e-06, "epoch": 2.4919093851132685, "percentage": 83.06, "elapsed_time": "2 days, 0:07:02", "remaining_time": "9:48:39"}
309
+ {"current_steps": 3090, "total_steps": 3708, "loss": 0.1633, "lr": 4.126226950994211e-06, "epoch": 2.5, "percentage": 83.33, "elapsed_time": "2 days, 0:16:24", "remaining_time": "9:39:16"}
310
+ {"current_steps": 3100, "total_steps": 3708, "loss": 0.1645, "lr": 3.997629235249692e-06, "epoch": 2.5080906148867315, "percentage": 83.6, "elapsed_time": "2 days, 0:25:46", "remaining_time": "9:29:54"}
311
+ {"current_steps": 3110, "total_steps": 3708, "loss": 0.1657, "lr": 3.870892974092197e-06, "epoch": 2.516181229773463, "percentage": 83.87, "elapsed_time": "2 days, 0:35:08", "remaining_time": "9:20:31"}
312
+ {"current_steps": 3120, "total_steps": 3708, "loss": 0.1649, "lr": 3.7460294002438444e-06, "epoch": 2.524271844660194, "percentage": 84.14, "elapsed_time": "2 days, 0:44:30", "remaining_time": "9:11:09"}
313
+ {"current_steps": 3130, "total_steps": 3708, "loss": 0.1638, "lr": 3.6230495804491864e-06, "epoch": 2.5323624595469254, "percentage": 84.41, "elapsed_time": "2 days, 0:53:52", "remaining_time": "9:01:46"}
314
+ {"current_steps": 3140, "total_steps": 3708, "loss": 0.1657, "lr": 3.5019644144943576e-06, "epoch": 2.540453074433657, "percentage": 84.68, "elapsed_time": "2 days, 1:03:14", "remaining_time": "8:52:24"}
315
+ {"current_steps": 3150, "total_steps": 3708, "loss": 0.1626, "lr": 3.382784634241015e-06, "epoch": 2.5485436893203883, "percentage": 84.95, "elapsed_time": "2 days, 1:12:36", "remaining_time": "8:43:02"}
316
+ {"current_steps": 3160, "total_steps": 3708, "loss": 0.1645, "lr": 3.2655208026751816e-06, "epoch": 2.55663430420712, "percentage": 85.22, "elapsed_time": "2 days, 1:21:59", "remaining_time": "8:33:39"}
317
+ {"current_steps": 3170, "total_steps": 3708, "loss": 0.1625, "lr": 3.150183312971014e-06, "epoch": 2.5647249190938513, "percentage": 85.49, "elapsed_time": "2 days, 1:31:23", "remaining_time": "8:24:17"}
318
+ {"current_steps": 3180, "total_steps": 3708, "loss": 0.1623, "lr": 3.036782387569659e-06, "epoch": 2.5728155339805827, "percentage": 85.76, "elapsed_time": "2 days, 1:40:45", "remaining_time": "8:14:55"}
319
+ {"current_steps": 3190, "total_steps": 3708, "loss": 0.1627, "lr": 2.9253280772732595e-06, "epoch": 2.5809061488673137, "percentage": 86.03, "elapsed_time": "2 days, 1:50:10", "remaining_time": "8:05:33"}
320
+ {"current_steps": 3200, "total_steps": 3708, "loss": 0.1609, "lr": 2.8158302603540965e-06, "epoch": 2.588996763754045, "percentage": 86.3, "elapsed_time": "2 days, 1:59:34", "remaining_time": "7:56:10"}
321
+ {"current_steps": 3210, "total_steps": 3708, "loss": 0.1642, "lr": 2.708298641679105e-06, "epoch": 2.5970873786407767, "percentage": 86.57, "elapsed_time": "2 days, 2:08:56", "remaining_time": "7:46:48"}
322
+ {"current_steps": 3220, "total_steps": 3708, "loss": 0.1634, "lr": 2.6027427518497153e-06, "epoch": 2.605177993527508, "percentage": 86.84, "elapsed_time": "2 days, 2:18:20", "remaining_time": "7:37:26"}
323
+ {"current_steps": 3230, "total_steps": 3708, "loss": 0.1607, "lr": 2.49917194635714e-06, "epoch": 2.6132686084142396, "percentage": 87.11, "elapsed_time": "2 days, 2:27:44", "remaining_time": "7:28:04"}
324
+ {"current_steps": 3240, "total_steps": 3708, "loss": 0.1589, "lr": 2.397595404753225e-06, "epoch": 2.6213592233009706, "percentage": 87.38, "elapsed_time": "2 days, 2:37:08", "remaining_time": "7:18:41"}
325
+ {"current_steps": 3250, "total_steps": 3708, "loss": 0.1679, "lr": 2.2980221298367995e-06, "epoch": 2.6294498381877025, "percentage": 87.65, "elapsed_time": "2 days, 2:46:32", "remaining_time": "7:09:19"}
326
+ {"current_steps": 3260, "total_steps": 3708, "loss": 0.1648, "lr": 2.2004609468558175e-06, "epoch": 2.6375404530744335, "percentage": 87.92, "elapsed_time": "2 days, 2:55:56", "remaining_time": "6:59:57"}
327
+ {"current_steps": 3270, "total_steps": 3708, "loss": 0.1648, "lr": 2.1049205027251216e-06, "epoch": 2.645631067961165, "percentage": 88.19, "elapsed_time": "2 days, 3:05:20", "remaining_time": "6:50:35"}
328
+ {"current_steps": 3280, "total_steps": 3708, "loss": 0.1669, "lr": 2.0114092652600806e-06, "epoch": 2.6537216828478964, "percentage": 88.46, "elapsed_time": "2 days, 3:14:42", "remaining_time": "6:41:12"}
329
+ {"current_steps": 3290, "total_steps": 3708, "loss": 0.1601, "lr": 1.919935522426081e-06, "epoch": 2.661812297734628, "percentage": 88.73, "elapsed_time": "2 days, 3:24:04", "remaining_time": "6:31:50"}
330
+ {"current_steps": 3300, "total_steps": 3708, "loss": 0.165, "lr": 1.8305073816039492e-06, "epoch": 2.6699029126213594, "percentage": 89.0, "elapsed_time": "2 days, 3:33:26", "remaining_time": "6:22:27"}
331
+ {"current_steps": 3310, "total_steps": 3708, "loss": 0.1686, "lr": 1.7431327688714139e-06, "epoch": 2.6779935275080904, "percentage": 89.27, "elapsed_time": "2 days, 3:42:49", "remaining_time": "6:13:05"}
332
+ {"current_steps": 3320, "total_steps": 3708, "loss": 0.1586, "lr": 1.6578194283005804e-06, "epoch": 2.686084142394822, "percentage": 89.54, "elapsed_time": "2 days, 3:52:11", "remaining_time": "6:03:42"}
333
+ {"current_steps": 3330, "total_steps": 3708, "loss": 0.1669, "lr": 1.5745749212715794e-06, "epoch": 2.6941747572815533, "percentage": 89.81, "elapsed_time": "2 days, 4:01:34", "remaining_time": "5:54:20"}
334
+ {"current_steps": 3340, "total_steps": 3708, "loss": 0.1681, "lr": 1.4934066258024182e-06, "epoch": 2.7022653721682848, "percentage": 90.08, "elapsed_time": "2 days, 4:10:57", "remaining_time": "5:44:58"}
335
+ {"current_steps": 3350, "total_steps": 3708, "loss": 0.1648, "lr": 1.4143217358950217e-06, "epoch": 2.7103559870550162, "percentage": 90.35, "elapsed_time": "2 days, 4:20:21", "remaining_time": "5:35:35"}
336
+ {"current_steps": 3360, "total_steps": 3708, "loss": 0.1635, "lr": 1.3373272608976668e-06, "epoch": 2.7184466019417477, "percentage": 90.61, "elapsed_time": "2 days, 4:29:43", "remaining_time": "5:26:13"}
337
+ {"current_steps": 3370, "total_steps": 3708, "loss": 0.1607, "lr": 1.2624300248836928e-06, "epoch": 2.726537216828479, "percentage": 90.88, "elapsed_time": "2 days, 4:39:08", "remaining_time": "5:16:51"}
338
+ {"current_steps": 3380, "total_steps": 3708, "loss": 0.1645, "lr": 1.1896366660467173e-06, "epoch": 2.73462783171521, "percentage": 91.15, "elapsed_time": "2 days, 4:48:30", "remaining_time": "5:07:28"}
339
+ {"current_steps": 3390, "total_steps": 3708, "loss": 0.1628, "lr": 1.1189536361122799e-06, "epoch": 2.7427184466019416, "percentage": 91.42, "elapsed_time": "2 days, 4:57:52", "remaining_time": "4:58:06"}
340
+ {"current_steps": 3400, "total_steps": 3708, "loss": 0.168, "lr": 1.0503871997660036e-06, "epoch": 2.750809061488673, "percentage": 91.69, "elapsed_time": "2 days, 5:07:14", "remaining_time": "4:48:43"}
341
+ {"current_steps": 3410, "total_steps": 3708, "loss": 0.1633, "lr": 9.83943434098372e-07, "epoch": 2.7588996763754046, "percentage": 91.96, "elapsed_time": "2 days, 5:16:37", "remaining_time": "4:39:21"}
342
+ {"current_steps": 3420, "total_steps": 3708, "loss": 0.1673, "lr": 9.196282280661023e-07, "epoch": 2.766990291262136, "percentage": 92.23, "elapsed_time": "2 days, 5:26:01", "remaining_time": "4:29:58"}
343
+ {"current_steps": 3430, "total_steps": 3708, "loss": 0.1652, "lr": 8.574472819702029e-07, "epoch": 2.775080906148867, "percentage": 92.5, "elapsed_time": "2 days, 5:35:24", "remaining_time": "4:20:36"}
344
+ {"current_steps": 3440, "total_steps": 3708, "loss": 0.1636, "lr": 7.974061069507571e-07, "epoch": 2.783171521035599, "percentage": 92.77, "elapsed_time": "2 days, 5:44:45", "remaining_time": "4:11:13"}
345
+ {"current_steps": 3450, "total_steps": 3708, "loss": 0.1634, "lr": 7.395100244984604e-07, "epoch": 2.79126213592233, "percentage": 93.04, "elapsed_time": "2 days, 5:54:07", "remaining_time": "4:01:51"}
346
+ {"current_steps": 3460, "total_steps": 3708, "loss": 0.1661, "lr": 6.837641659829807e-07, "epoch": 2.7993527508090614, "percentage": 93.31, "elapsed_time": "2 days, 6:03:29", "remaining_time": "3:52:28"}
347
+ {"current_steps": 3470, "total_steps": 3708, "loss": 0.1643, "lr": 6.301734721981533e-07, "epoch": 2.807443365695793, "percentage": 93.58, "elapsed_time": "2 days, 6:12:54", "remaining_time": "3:43:06"}
348
+ {"current_steps": 3480, "total_steps": 3708, "loss": 0.1643, "lr": 5.787426929240808e-07, "epoch": 2.8155339805825244, "percentage": 93.85, "elapsed_time": "2 days, 6:22:16", "remaining_time": "3:33:44"}
349
+ {"current_steps": 3490, "total_steps": 3708, "loss": 0.1626, "lr": 5.294763865061558e-07, "epoch": 2.823624595469256, "percentage": 94.12, "elapsed_time": "2 days, 6:31:39", "remaining_time": "3:24:21"}
350
+ {"current_steps": 3500, "total_steps": 3708, "loss": 0.1639, "lr": 4.823789194510514e-07, "epoch": 2.831715210355987, "percentage": 94.39, "elapsed_time": "2 days, 6:41:03", "remaining_time": "3:14:59"}
351
+ {"current_steps": 3510, "total_steps": 3708, "loss": 0.1602, "lr": 4.3745446603971064e-07, "epoch": 2.8398058252427183, "percentage": 94.66, "elapsed_time": "2 days, 6:50:27", "remaining_time": "3:05:36"}
352
+ {"current_steps": 3520, "total_steps": 3708, "loss": 0.1642, "lr": 3.947070079573872e-07, "epoch": 2.8478964401294498, "percentage": 94.93, "elapsed_time": "2 days, 6:59:50", "remaining_time": "2:56:14"}
353
+ {"current_steps": 3530, "total_steps": 3708, "loss": 0.1656, "lr": 3.541403339407279e-07, "epoch": 2.855987055016181, "percentage": 95.2, "elapsed_time": "2 days, 7:09:14", "remaining_time": "2:46:52"}
354
+ {"current_steps": 3540, "total_steps": 3708, "loss": 0.1651, "lr": 3.1575803944199624e-07, "epoch": 2.8640776699029127, "percentage": 95.47, "elapsed_time": "2 days, 7:18:36", "remaining_time": "2:37:29"}
355
+ {"current_steps": 3550, "total_steps": 3708, "loss": 0.1623, "lr": 2.7956352631038906e-07, "epoch": 2.872168284789644, "percentage": 95.74, "elapsed_time": "2 days, 7:27:58", "remaining_time": "2:28:07"}
356
+ {"current_steps": 3560, "total_steps": 3708, "loss": 0.1653, "lr": 2.4556000249054133e-07, "epoch": 2.8802588996763756, "percentage": 96.01, "elapsed_time": "2 days, 7:37:21", "remaining_time": "2:18:44"}
357
+ {"current_steps": 3570, "total_steps": 3708, "loss": 0.1691, "lr": 2.1375048173818412e-07, "epoch": 2.8883495145631066, "percentage": 96.28, "elapsed_time": "2 days, 7:46:45", "remaining_time": "2:09:22"}
358
+ {"current_steps": 3580, "total_steps": 3708, "loss": 0.1606, "lr": 1.8413778335305e-07, "epoch": 2.896440129449838, "percentage": 96.55, "elapsed_time": "2 days, 7:56:08", "remaining_time": "1:59:59"}
359
+ {"current_steps": 3590, "total_steps": 3708, "loss": 0.1607, "lr": 1.567245319290006e-07, "epoch": 2.9045307443365695, "percentage": 96.82, "elapsed_time": "2 days, 8:05:30", "remaining_time": "1:50:37"}
360
+ {"current_steps": 3600, "total_steps": 3708, "loss": 0.1659, "lr": 1.315131571213879e-07, "epoch": 2.912621359223301, "percentage": 97.09, "elapsed_time": "2 days, 8:14:52", "remaining_time": "1:41:14"}
361
+ {"current_steps": 3610, "total_steps": 3708, "loss": 0.163, "lr": 1.0850589343172624e-07, "epoch": 2.9207119741100325, "percentage": 97.36, "elapsed_time": "2 days, 8:24:15", "remaining_time": "1:31:52"}
362
+ {"current_steps": 3620, "total_steps": 3708, "loss": 0.1603, "lr": 8.770478000964532e-08, "epoch": 2.9288025889967635, "percentage": 97.63, "elapsed_time": "2 days, 8:33:37", "remaining_time": "1:22:29"}
363
+ {"current_steps": 3630, "total_steps": 3708, "loss": 0.1639, "lr": 6.911166047215145e-08, "epoch": 2.9368932038834954, "percentage": 97.9, "elapsed_time": "2 days, 8:42:59", "remaining_time": "1:13:07"}
364
+ {"current_steps": 3640, "total_steps": 3708, "loss": 0.163, "lr": 5.272818274023872e-08, "epoch": 2.9449838187702264, "percentage": 98.17, "elapsed_time": "2 days, 8:52:21", "remaining_time": "1:03:44"}
365
+ {"current_steps": 3650, "total_steps": 3708, "loss": 0.1607, "lr": 3.855579889282257e-08, "epoch": 2.953074433656958, "percentage": 98.44, "elapsed_time": "2 days, 9:01:43", "remaining_time": "0:54:22"}
366
+ {"current_steps": 3660, "total_steps": 3708, "loss": 0.1598, "lr": 2.6595765038045507e-08, "epoch": 2.9611650485436893, "percentage": 98.71, "elapsed_time": "2 days, 9:11:05", "remaining_time": "0:44:59"}
367
+ {"current_steps": 3670, "total_steps": 3708, "loss": 0.1656, "lr": 1.6849141201946693e-08, "epoch": 2.969255663430421, "percentage": 98.98, "elapsed_time": "2 days, 9:20:28", "remaining_time": "0:35:37"}
368
+ {"current_steps": 3680, "total_steps": 3708, "loss": 0.1589, "lr": 9.316791234506572e-09, "epoch": 2.9773462783171523, "percentage": 99.24, "elapsed_time": "2 days, 9:29:52", "remaining_time": "0:26:14"}
369
+ {"current_steps": 3690, "total_steps": 3708, "loss": 0.1633, "lr": 3.999382733096968e-09, "epoch": 2.9854368932038833, "percentage": 99.51, "elapsed_time": "2 days, 9:39:14", "remaining_time": "0:16:52"}
370
+ {"current_steps": 3700, "total_steps": 3708, "loss": 0.1623, "lr": 8.973869832895609e-10, "epoch": 2.9935275080906147, "percentage": 99.78, "elapsed_time": "2 days, 9:48:37", "remaining_time": "0:07:29"}
371
+ {"current_steps": 3708, "total_steps": 3708, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2 days, 9:57:09", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,2633 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.0,
6
+ "eval_steps": 500,
7
+ "global_step": 3708,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008090614886731391,
14
+ "grad_norm": 10.671297597284719,
15
+ "learning_rate": 1.2129380053908356e-06,
16
+ "loss": 2.601,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.016181229773462782,
21
+ "grad_norm": 6.311089864073009,
22
+ "learning_rate": 2.560646900269542e-06,
23
+ "loss": 2.3954,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.024271844660194174,
28
+ "grad_norm": 5.215362734590839,
29
+ "learning_rate": 3.908355795148248e-06,
30
+ "loss": 1.7763,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.032362459546925564,
35
+ "grad_norm": 2.0676790587143836,
36
+ "learning_rate": 5.256064690026954e-06,
37
+ "loss": 1.2086,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.040453074433656956,
42
+ "grad_norm": 1.4206424846718397,
43
+ "learning_rate": 6.60377358490566e-06,
44
+ "loss": 0.8436,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.04854368932038835,
49
+ "grad_norm": 1.5867176039284459,
50
+ "learning_rate": 7.951482479784367e-06,
51
+ "loss": 0.6706,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05663430420711974,
56
+ "grad_norm": 1.2138979784248856,
57
+ "learning_rate": 9.299191374663074e-06,
58
+ "loss": 0.5858,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.06472491909385113,
63
+ "grad_norm": 0.7702442127235006,
64
+ "learning_rate": 1.0646900269541779e-05,
65
+ "loss": 0.5384,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07281553398058252,
70
+ "grad_norm": 1.0114209152057974,
71
+ "learning_rate": 1.1994609164420486e-05,
72
+ "loss": 0.4977,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08090614886731391,
77
+ "grad_norm": 0.5794843568633474,
78
+ "learning_rate": 1.3342318059299191e-05,
79
+ "loss": 0.4639,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.0889967637540453,
84
+ "grad_norm": 0.696228528125689,
85
+ "learning_rate": 1.4690026954177898e-05,
86
+ "loss": 0.4589,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.0970873786407767,
91
+ "grad_norm": 0.7033818455552552,
92
+ "learning_rate": 1.6037735849056604e-05,
93
+ "loss": 0.4511,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10517799352750809,
98
+ "grad_norm": 0.6918266955210028,
99
+ "learning_rate": 1.738544474393531e-05,
100
+ "loss": 0.4259,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11326860841423948,
105
+ "grad_norm": 0.48391302376719975,
106
+ "learning_rate": 1.8733153638814018e-05,
107
+ "loss": 0.4271,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12135922330097088,
112
+ "grad_norm": 0.6600203232524687,
113
+ "learning_rate": 2.0080862533692725e-05,
114
+ "loss": 0.415,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.12944983818770225,
119
+ "grad_norm": 0.6491506270021533,
120
+ "learning_rate": 2.1428571428571428e-05,
121
+ "loss": 0.4047,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.13754045307443366,
126
+ "grad_norm": 1.108358955768956,
127
+ "learning_rate": 2.2776280323450135e-05,
128
+ "loss": 0.3977,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.14563106796116504,
133
+ "grad_norm": 1.0220828997842137,
134
+ "learning_rate": 2.4123989218328842e-05,
135
+ "loss": 0.3972,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.15372168284789645,
140
+ "grad_norm": 0.7866428488585541,
141
+ "learning_rate": 2.547169811320755e-05,
142
+ "loss": 0.3886,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.16181229773462782,
147
+ "grad_norm": 0.7956757749575036,
148
+ "learning_rate": 2.6819407008086256e-05,
149
+ "loss": 0.3881,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.16990291262135923,
154
+ "grad_norm": 0.7154298194551921,
155
+ "learning_rate": 2.8167115902964963e-05,
156
+ "loss": 0.3915,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.1779935275080906,
161
+ "grad_norm": 0.7172238259413939,
162
+ "learning_rate": 2.9514824797843667e-05,
163
+ "loss": 0.384,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.18608414239482202,
168
+ "grad_norm": 0.7995655410192202,
169
+ "learning_rate": 3.086253369272237e-05,
170
+ "loss": 0.3748,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.1941747572815534,
175
+ "grad_norm": 13.800265685156136,
176
+ "learning_rate": 3.221024258760108e-05,
177
+ "loss": 0.3732,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2022653721682848,
182
+ "grad_norm": 0.9742105484202757,
183
+ "learning_rate": 3.355795148247979e-05,
184
+ "loss": 0.3778,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21035598705501618,
189
+ "grad_norm": 0.7304881990540768,
190
+ "learning_rate": 3.490566037735849e-05,
191
+ "loss": 0.3779,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.21844660194174756,
196
+ "grad_norm": 0.6020503863674406,
197
+ "learning_rate": 3.62533692722372e-05,
198
+ "loss": 0.3659,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.22653721682847897,
203
+ "grad_norm": 0.6249460279802084,
204
+ "learning_rate": 3.76010781671159e-05,
205
+ "loss": 0.3678,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.23462783171521034,
210
+ "grad_norm": 0.7546333918045006,
211
+ "learning_rate": 3.894878706199461e-05,
212
+ "loss": 0.3608,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.24271844660194175,
217
+ "grad_norm": 1.0594379228439452,
218
+ "learning_rate": 4.0296495956873316e-05,
219
+ "loss": 0.3623,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.25080906148867316,
224
+ "grad_norm": 0.8968179435463678,
225
+ "learning_rate": 4.164420485175202e-05,
226
+ "loss": 0.361,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2588996763754045,
231
+ "grad_norm": 0.6785334732318974,
232
+ "learning_rate": 4.299191374663073e-05,
233
+ "loss": 0.3587,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.2669902912621359,
238
+ "grad_norm": 0.7864105607470325,
239
+ "learning_rate": 4.433962264150944e-05,
240
+ "loss": 0.3641,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2750809061488673,
245
+ "grad_norm": 0.7520885489880877,
246
+ "learning_rate": 4.5687331536388144e-05,
247
+ "loss": 0.3571,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.28317152103559873,
252
+ "grad_norm": 0.7154271960483066,
253
+ "learning_rate": 4.703504043126685e-05,
254
+ "loss": 0.3564,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.2912621359223301,
259
+ "grad_norm": 0.5540540831665184,
260
+ "learning_rate": 4.838274932614555e-05,
261
+ "loss": 0.3499,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.2993527508090615,
266
+ "grad_norm": 0.8972157863979777,
267
+ "learning_rate": 4.973045822102426e-05,
268
+ "loss": 0.3546,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.3074433656957929,
273
+ "grad_norm": 0.5977035180668759,
274
+ "learning_rate": 4.9999290952604396e-05,
275
+ "loss": 0.358,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3155339805825243,
280
+ "grad_norm": 0.6794119464101197,
281
+ "learning_rate": 4.9996410516491115e-05,
282
+ "loss": 0.3442,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.32362459546925565,
287
+ "grad_norm": 0.6445475083450791,
288
+ "learning_rate": 4.9991314631296585e-05,
289
+ "loss": 0.3504,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.33171521035598706,
294
+ "grad_norm": 0.6254469656785541,
295
+ "learning_rate": 4.9984003748672604e-05,
296
+ "loss": 0.3451,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.33980582524271846,
301
+ "grad_norm": 0.6124809359745962,
302
+ "learning_rate": 4.997447851658774e-05,
303
+ "loss": 0.3373,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3478964401294498,
308
+ "grad_norm": 0.8314626543045377,
309
+ "learning_rate": 4.9962739779269887e-05,
310
+ "loss": 0.3427,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.3559870550161812,
315
+ "grad_norm": 0.7096404483846562,
316
+ "learning_rate": 4.9948788577131414e-05,
317
+ "loss": 0.3402,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.3640776699029126,
322
+ "grad_norm": 0.5010872233529703,
323
+ "learning_rate": 4.993262614667696e-05,
324
+ "loss": 0.3404,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.37216828478964403,
329
+ "grad_norm": 0.7096873040187438,
330
+ "learning_rate": 4.9914253920393884e-05,
331
+ "loss": 0.3374,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3802588996763754,
336
+ "grad_norm": 0.6463889915075135,
337
+ "learning_rate": 4.9893673526625265e-05,
338
+ "loss": 0.3374,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.3883495145631068,
343
+ "grad_norm": 0.698463838389325,
344
+ "learning_rate": 4.987088678942555e-05,
345
+ "loss": 0.338,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.3964401294498382,
350
+ "grad_norm": 0.6798285617884782,
351
+ "learning_rate": 4.984589572839897e-05,
352
+ "loss": 0.3335,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4045307443365696,
357
+ "grad_norm": 0.4599792513564179,
358
+ "learning_rate": 4.9818702558520485e-05,
359
+ "loss": 0.3299,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.41262135922330095,
364
+ "grad_norm": 0.49728635683969147,
365
+ "learning_rate": 4.978930968993946e-05,
366
+ "loss": 0.3388,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.42071197411003236,
371
+ "grad_norm": 0.4217113735156639,
372
+ "learning_rate": 4.9757719727766085e-05,
373
+ "loss": 0.3319,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.42880258899676377,
378
+ "grad_norm": 0.48369122768285383,
379
+ "learning_rate": 4.972393547184046e-05,
380
+ "loss": 0.33,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.4368932038834951,
385
+ "grad_norm": 0.43182058716411714,
386
+ "learning_rate": 4.968795991648446e-05,
387
+ "loss": 0.3252,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4449838187702265,
392
+ "grad_norm": 0.5876386529955178,
393
+ "learning_rate": 4.9649796250236344e-05,
394
+ "loss": 0.324,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.45307443365695793,
399
+ "grad_norm": 0.5486057928498816,
400
+ "learning_rate": 4.960944785556814e-05,
401
+ "loss": 0.3254,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.46116504854368934,
406
+ "grad_norm": 0.4867958049194759,
407
+ "learning_rate": 4.956691830858585e-05,
408
+ "loss": 0.3216,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4692556634304207,
413
+ "grad_norm": 0.4571043410958847,
414
+ "learning_rate": 4.952221137871252e-05,
415
+ "loss": 0.3206,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.4773462783171521,
420
+ "grad_norm": 0.5063667000215466,
421
+ "learning_rate": 4.947533102835413e-05,
422
+ "loss": 0.322,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.4854368932038835,
427
+ "grad_norm": 0.4522556669690265,
428
+ "learning_rate": 4.942628141254843e-05,
429
+ "loss": 0.3257,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.4935275080906149,
434
+ "grad_norm": 0.4321047527271199,
435
+ "learning_rate": 4.937506687859666e-05,
436
+ "loss": 0.3197,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5016181229773463,
441
+ "grad_norm": 0.393401694292632,
442
+ "learning_rate": 4.932169196567824e-05,
443
+ "loss": 0.3209,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5097087378640777,
448
+ "grad_norm": 0.39900307971080384,
449
+ "learning_rate": 4.9266161404448454e-05,
450
+ "loss": 0.3102,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.517799352750809,
455
+ "grad_norm": 0.4716849647042864,
456
+ "learning_rate": 4.920848011661919e-05,
457
+ "loss": 0.3195,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5258899676375405,
462
+ "grad_norm": 0.460323217460504,
463
+ "learning_rate": 4.914865321452274e-05,
464
+ "loss": 0.3151,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5339805825242718,
469
+ "grad_norm": 0.45925505988077353,
470
+ "learning_rate": 4.908668600065862e-05,
471
+ "loss": 0.3151,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5420711974110033,
476
+ "grad_norm": 0.5830461135145422,
477
+ "learning_rate": 4.90225839672237e-05,
478
+ "loss": 0.3216,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5501618122977346,
483
+ "grad_norm": 0.4701717654524378,
484
+ "learning_rate": 4.8956352795625325e-05,
485
+ "loss": 0.3168,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.558252427184466,
490
+ "grad_norm": 0.337481033517792,
491
+ "learning_rate": 4.8887998355977886e-05,
492
+ "loss": 0.313,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5663430420711975,
497
+ "grad_norm": 0.6269962483834282,
498
+ "learning_rate": 4.881752670658244e-05,
499
+ "loss": 0.3132,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.5744336569579288,
504
+ "grad_norm": 0.4662171259348263,
505
+ "learning_rate": 4.87449440933898e-05,
506
+ "loss": 0.314,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.5825242718446602,
511
+ "grad_norm": 0.5290025725406212,
512
+ "learning_rate": 4.867025694944698e-05,
513
+ "loss": 0.3109,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.5906148867313916,
518
+ "grad_norm": 0.43779075196037404,
519
+ "learning_rate": 4.859347189432699e-05,
520
+ "loss": 0.3188,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.598705501618123,
525
+ "grad_norm": 0.5368922851512631,
526
+ "learning_rate": 4.8514595733542144e-05,
527
+ "loss": 0.3053,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6067961165048543,
532
+ "grad_norm": 0.3739446436447005,
533
+ "learning_rate": 4.8433635457940915e-05,
534
+ "loss": 0.3095,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6148867313915858,
539
+ "grad_norm": 0.36805536772795056,
540
+ "learning_rate": 4.8350598243088283e-05,
541
+ "loss": 0.3081,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6229773462783171,
546
+ "grad_norm": 0.6081454922011427,
547
+ "learning_rate": 4.8265491448629804e-05,
548
+ "loss": 0.3096,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6310679611650486,
553
+ "grad_norm": 0.606989309832587,
554
+ "learning_rate": 4.817832261763928e-05,
555
+ "loss": 0.3064,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.63915857605178,
560
+ "grad_norm": 0.374478457061797,
561
+ "learning_rate": 4.8089099475950257e-05,
562
+ "loss": 0.3075,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.6472491909385113,
567
+ "grad_norm": 0.4495226360651449,
568
+ "learning_rate": 4.7997829931471225e-05,
569
+ "loss": 0.3055,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6553398058252428,
574
+ "grad_norm": 0.48869687342847196,
575
+ "learning_rate": 4.7904522073484786e-05,
576
+ "loss": 0.3056,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6634304207119741,
581
+ "grad_norm": 0.4244338878096003,
582
+ "learning_rate": 4.780918417193065e-05,
583
+ "loss": 0.3068,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.6715210355987055,
588
+ "grad_norm": 0.8568600210635637,
589
+ "learning_rate": 4.7711824676672726e-05,
590
+ "loss": 0.311,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.6796116504854369,
595
+ "grad_norm": 0.4818809073072544,
596
+ "learning_rate": 4.76124522167501e-05,
597
+ "loss": 0.3139,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.6877022653721683,
602
+ "grad_norm": 0.5673965426592162,
603
+ "learning_rate": 4.751107559961238e-05,
604
+ "loss": 0.3085,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.6957928802588996,
609
+ "grad_norm": 0.42296772741332755,
610
+ "learning_rate": 4.740770381033894e-05,
611
+ "loss": 0.3129,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7038834951456311,
616
+ "grad_norm": 0.4358296754132214,
617
+ "learning_rate": 4.730234601084268e-05,
618
+ "loss": 0.3058,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7119741100323624,
623
+ "grad_norm": 0.4373965191621123,
624
+ "learning_rate": 4.719501153905793e-05,
625
+ "loss": 0.3025,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7200647249190939,
630
+ "grad_norm": 0.3787352736875979,
631
+ "learning_rate": 4.7085709908112866e-05,
632
+ "loss": 0.3034,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7281553398058253,
637
+ "grad_norm": 0.469843837143792,
638
+ "learning_rate": 4.6974450805486305e-05,
639
+ "loss": 0.303,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7362459546925566,
644
+ "grad_norm": 0.4394456386334091,
645
+ "learning_rate": 4.686124409214917e-05,
646
+ "loss": 0.2975,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7443365695792881,
651
+ "grad_norm": 0.37340718943669743,
652
+ "learning_rate": 4.674609980169042e-05,
653
+ "loss": 0.3002,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7524271844660194,
658
+ "grad_norm": 0.47566576341803307,
659
+ "learning_rate": 4.662902813942784e-05,
660
+ "loss": 0.3051,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7605177993527508,
665
+ "grad_norm": 0.4410622981522137,
666
+ "learning_rate": 4.651003948150349e-05,
667
+ "loss": 0.2962,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.7686084142394822,
672
+ "grad_norm": 0.41727057267800893,
673
+ "learning_rate": 4.638914437396408e-05,
674
+ "loss": 0.2959,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.7766990291262136,
679
+ "grad_norm": 0.3766577031650596,
680
+ "learning_rate": 4.626635353182626e-05,
681
+ "loss": 0.2951,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.7847896440129449,
686
+ "grad_norm": 0.36286446424405566,
687
+ "learning_rate": 4.614167783812694e-05,
688
+ "loss": 0.294,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.7928802588996764,
693
+ "grad_norm": 0.4051751512540439,
694
+ "learning_rate": 4.601512834295874e-05,
695
+ "loss": 0.2944,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8009708737864077,
700
+ "grad_norm": 0.37027627803204927,
701
+ "learning_rate": 4.588671626249057e-05,
702
+ "loss": 0.2952,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8090614886731392,
707
+ "grad_norm": 0.464872048858869,
708
+ "learning_rate": 4.5756452977973585e-05,
709
+ "loss": 0.292,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.8171521035598706,
714
+ "grad_norm": 0.4408350560704109,
715
+ "learning_rate": 4.56243500347324e-05,
716
+ "loss": 0.3009,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.8252427184466019,
721
+ "grad_norm": 0.49398039939609895,
722
+ "learning_rate": 4.549041914114188e-05,
723
+ "loss": 0.2969,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.8333333333333334,
728
+ "grad_norm": 0.5592891850787267,
729
+ "learning_rate": 4.535467216758936e-05,
730
+ "loss": 0.2981,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.8414239482200647,
735
+ "grad_norm": 0.4230495195351826,
736
+ "learning_rate": 4.5217121145422616e-05,
737
+ "loss": 0.2883,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.8495145631067961,
742
+ "grad_norm": 0.33133186454457314,
743
+ "learning_rate": 4.5077778265883477e-05,
744
+ "loss": 0.2927,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8576051779935275,
749
+ "grad_norm": 0.3936509630212508,
750
+ "learning_rate": 4.4936655879027336e-05,
751
+ "loss": 0.2948,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.8656957928802589,
756
+ "grad_norm": 0.4500916019115437,
757
+ "learning_rate": 4.479376649262855e-05,
758
+ "loss": 0.2943,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.8737864077669902,
763
+ "grad_norm": 0.3668748277040676,
764
+ "learning_rate": 4.464912277107185e-05,
765
+ "loss": 0.2928,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.8818770226537217,
770
+ "grad_norm": 0.320494366403153,
771
+ "learning_rate": 4.450273753422992e-05,
772
+ "loss": 0.2909,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.889967637540453,
777
+ "grad_norm": 0.37987923612254676,
778
+ "learning_rate": 4.435462375632711e-05,
779
+ "loss": 0.2964,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.8980582524271845,
784
+ "grad_norm": 0.39981221876873035,
785
+ "learning_rate": 4.420479456478957e-05,
786
+ "loss": 0.2994,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.9061488673139159,
791
+ "grad_norm": 0.3091126654651453,
792
+ "learning_rate": 4.405326323908178e-05,
793
+ "loss": 0.2851,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.9142394822006472,
798
+ "grad_norm": 0.47407567538309503,
799
+ "learning_rate": 4.390004320952947e-05,
800
+ "loss": 0.2914,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.9223300970873787,
805
+ "grad_norm": 0.4473436088105401,
806
+ "learning_rate": 4.374514805612942e-05,
807
+ "loss": 0.2958,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.93042071197411,
812
+ "grad_norm": 0.3335572127939302,
813
+ "learning_rate": 4.358859150734576e-05,
814
+ "loss": 0.2915,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.9385113268608414,
819
+ "grad_norm": 0.4410700993823537,
820
+ "learning_rate": 4.343038743889324e-05,
821
+ "loss": 0.2936,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.9466019417475728,
826
+ "grad_norm": 0.4566532222343424,
827
+ "learning_rate": 4.3270549872507415e-05,
828
+ "loss": 0.2921,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.9546925566343042,
833
+ "grad_norm": 0.34831612960636166,
834
+ "learning_rate": 4.3109092974701895e-05,
835
+ "loss": 0.2961,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.9627831715210357,
840
+ "grad_norm": 0.33970324826345877,
841
+ "learning_rate": 4.2946031055512733e-05,
842
+ "loss": 0.2887,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.970873786407767,
847
+ "grad_norm": 0.46192580192198573,
848
+ "learning_rate": 4.2781378567230145e-05,
849
+ "loss": 0.29,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.9789644012944984,
854
+ "grad_norm": 0.4615119904861507,
855
+ "learning_rate": 4.2615150103117576e-05,
856
+ "loss": 0.2886,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.9870550161812298,
861
+ "grad_norm": 0.2981731488057052,
862
+ "learning_rate": 4.24473603961183e-05,
863
+ "loss": 0.2908,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.9951456310679612,
868
+ "grad_norm": 0.3632890670918485,
869
+ "learning_rate": 4.227802431754961e-05,
870
+ "loss": 0.2924,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.0032362459546926,
875
+ "grad_norm": 0.4150403194043393,
876
+ "learning_rate": 4.210715687578481e-05,
877
+ "loss": 0.2727,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.0113268608414239,
882
+ "grad_norm": 0.34869821901507675,
883
+ "learning_rate": 4.193477321492293e-05,
884
+ "loss": 0.2453,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.0194174757281553,
889
+ "grad_norm": 0.3601010037088075,
890
+ "learning_rate": 4.176088861344657e-05,
891
+ "loss": 0.2414,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.0275080906148868,
896
+ "grad_norm": 0.32325115826296424,
897
+ "learning_rate": 4.158551848286773e-05,
898
+ "loss": 0.2425,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.035598705501618,
903
+ "grad_norm": 0.38691862676257593,
904
+ "learning_rate": 4.140867836636189e-05,
905
+ "loss": 0.247,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.0436893203883495,
910
+ "grad_norm": 0.34882276619380004,
911
+ "learning_rate": 4.1230383937390374e-05,
912
+ "loss": 0.239,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.051779935275081,
917
+ "grad_norm": 0.3951880114595209,
918
+ "learning_rate": 4.1050650998311215e-05,
919
+ "loss": 0.2375,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.0598705501618122,
924
+ "grad_norm": 0.3736593550545292,
925
+ "learning_rate": 4.086949547897862e-05,
926
+ "loss": 0.2479,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.0679611650485437,
931
+ "grad_norm": 0.34774896387912796,
932
+ "learning_rate": 4.068693343533103e-05,
933
+ "loss": 0.2372,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.0760517799352751,
938
+ "grad_norm": 0.3330973525666551,
939
+ "learning_rate": 4.050298104796812e-05,
940
+ "loss": 0.2413,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.0841423948220066,
945
+ "grad_norm": 0.27924340181820345,
946
+ "learning_rate": 4.0317654620716704e-05,
947
+ "loss": 0.2454,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.0922330097087378,
952
+ "grad_norm": 0.3807786754448861,
953
+ "learning_rate": 4.013097057918566e-05,
954
+ "loss": 0.2457,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.1003236245954693,
959
+ "grad_norm": 0.34402611290470836,
960
+ "learning_rate": 3.9942945469310175e-05,
961
+ "loss": 0.2406,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.1084142394822007,
966
+ "grad_norm": 0.3087094208360471,
967
+ "learning_rate": 3.9753595955885264e-05,
968
+ "loss": 0.2403,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.116504854368932,
973
+ "grad_norm": 0.334687554837771,
974
+ "learning_rate": 3.9562938821088705e-05,
975
+ "loss": 0.2443,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.1245954692556634,
980
+ "grad_norm": 0.34101610586326964,
981
+ "learning_rate": 3.9370990962993695e-05,
982
+ "loss": 0.2455,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.132686084142395,
987
+ "grad_norm": 0.36304196735659044,
988
+ "learning_rate": 3.9177769394071086e-05,
989
+ "loss": 0.2423,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.1407766990291262,
994
+ "grad_norm": 0.32455755430896477,
995
+ "learning_rate": 3.898329123968163e-05,
996
+ "loss": 0.2424,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.1488673139158576,
1001
+ "grad_norm": 0.29393617658060145,
1002
+ "learning_rate": 3.87875737365581e-05,
1003
+ "loss": 0.2383,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.156957928802589,
1008
+ "grad_norm": 0.40951987232018516,
1009
+ "learning_rate": 3.8590634231277626e-05,
1010
+ "loss": 0.2605,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.1650485436893203,
1015
+ "grad_norm": 0.3441977909919604,
1016
+ "learning_rate": 3.8392490178724184e-05,
1017
+ "loss": 0.2455,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.1731391585760518,
1022
+ "grad_norm": 0.3112960711261136,
1023
+ "learning_rate": 3.8193159140541645e-05,
1024
+ "loss": 0.2419,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.1812297734627832,
1029
+ "grad_norm": 0.3032973624770194,
1030
+ "learning_rate": 3.7992658783577215e-05,
1031
+ "loss": 0.2422,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.1893203883495145,
1036
+ "grad_norm": 0.29109047481785005,
1037
+ "learning_rate": 3.779100687831563e-05,
1038
+ "loss": 0.2462,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.197411003236246,
1043
+ "grad_norm": 0.2948022665787199,
1044
+ "learning_rate": 3.758822129730415e-05,
1045
+ "loss": 0.245,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.2055016181229774,
1050
+ "grad_norm": 0.31258495126302516,
1051
+ "learning_rate": 3.738432001356851e-05,
1052
+ "loss": 0.2455,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.2135922330097086,
1057
+ "grad_norm": 0.27328969134267245,
1058
+ "learning_rate": 3.7179321099019916e-05,
1059
+ "loss": 0.2369,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.22168284789644,
1064
+ "grad_norm": 0.2847184801501813,
1065
+ "learning_rate": 3.6973242722853365e-05,
1066
+ "loss": 0.2402,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.2297734627831716,
1071
+ "grad_norm": 0.29812191017952583,
1072
+ "learning_rate": 3.6766103149937295e-05,
1073
+ "loss": 0.2427,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.237864077669903,
1078
+ "grad_norm": 0.3017615376479855,
1079
+ "learning_rate": 3.655792073919471e-05,
1080
+ "loss": 0.2363,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.2459546925566343,
1085
+ "grad_norm": 0.27567364203177047,
1086
+ "learning_rate": 3.634871394197607e-05,
1087
+ "loss": 0.2388,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.2540453074433657,
1092
+ "grad_norm": 0.2685513406212581,
1093
+ "learning_rate": 3.6138501300423934e-05,
1094
+ "loss": 0.2378,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.262135922330097,
1099
+ "grad_norm": 0.25546275734682755,
1100
+ "learning_rate": 3.592730144582948e-05,
1101
+ "loss": 0.2341,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.2702265372168284,
1106
+ "grad_norm": 0.2841532225060496,
1107
+ "learning_rate": 3.571513309698131e-05,
1108
+ "loss": 0.2366,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.27831715210356,
1113
+ "grad_norm": 0.30541995269870376,
1114
+ "learning_rate": 3.5502015058506335e-05,
1115
+ "loss": 0.2375,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.2864077669902914,
1120
+ "grad_norm": 0.34844869264740597,
1121
+ "learning_rate": 3.528796621920307e-05,
1122
+ "loss": 0.239,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.2944983818770226,
1127
+ "grad_norm": 0.30708349077357805,
1128
+ "learning_rate": 3.50730055503676e-05,
1129
+ "loss": 0.2356,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.302588996763754,
1134
+ "grad_norm": 0.3175696506236882,
1135
+ "learning_rate": 3.485715210411204e-05,
1136
+ "loss": 0.2358,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.3106796116504853,
1141
+ "grad_norm": 0.29197347345983926,
1142
+ "learning_rate": 3.4640425011676034e-05,
1143
+ "loss": 0.2408,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.3187702265372168,
1148
+ "grad_norm": 0.28169129894596506,
1149
+ "learning_rate": 3.442284348173106e-05,
1150
+ "loss": 0.2395,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.3268608414239482,
1155
+ "grad_norm": 0.3992186155056125,
1156
+ "learning_rate": 3.420442679867796e-05,
1157
+ "loss": 0.2391,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.3349514563106797,
1162
+ "grad_norm": 0.35636813012626095,
1163
+ "learning_rate": 3.398519432093782e-05,
1164
+ "loss": 0.2374,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.343042071197411,
1169
+ "grad_norm": 0.27742962322683806,
1170
+ "learning_rate": 3.376516547923614e-05,
1171
+ "loss": 0.2336,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.3511326860841424,
1176
+ "grad_norm": 0.28660763778902115,
1177
+ "learning_rate": 3.3544359774880714e-05,
1178
+ "loss": 0.2371,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.3592233009708738,
1183
+ "grad_norm": 0.40153445123463827,
1184
+ "learning_rate": 3.3322796778033204e-05,
1185
+ "loss": 0.2376,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.367313915857605,
1190
+ "grad_norm": 0.3035749815074104,
1191
+ "learning_rate": 3.3100496125974624e-05,
1192
+ "loss": 0.2377,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.3754045307443366,
1197
+ "grad_norm": 0.342174636479568,
1198
+ "learning_rate": 3.2877477521364895e-05,
1199
+ "loss": 0.2347,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.383495145631068,
1204
+ "grad_norm": 0.3199103842497454,
1205
+ "learning_rate": 3.2653760730496555e-05,
1206
+ "loss": 0.2297,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.3915857605177995,
1211
+ "grad_norm": 0.27362978201436644,
1212
+ "learning_rate": 3.242936558154285e-05,
1213
+ "loss": 0.2356,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.3996763754045307,
1218
+ "grad_norm": 0.27057113114600895,
1219
+ "learning_rate": 3.2204311962800426e-05,
1220
+ "loss": 0.2322,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.4077669902912622,
1225
+ "grad_norm": 0.26643871030324334,
1226
+ "learning_rate": 3.197861982092651e-05,
1227
+ "loss": 0.2384,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.4158576051779934,
1232
+ "grad_norm": 0.31497718220761595,
1233
+ "learning_rate": 3.175230915917108e-05,
1234
+ "loss": 0.2427,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.4239482200647249,
1239
+ "grad_norm": 0.3267383691103009,
1240
+ "learning_rate": 3.152540003560398e-05,
1241
+ "loss": 0.2417,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.4320388349514563,
1246
+ "grad_norm": 0.29663197558136717,
1247
+ "learning_rate": 3.129791256133712e-05,
1248
+ "loss": 0.2288,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.4401294498381878,
1253
+ "grad_norm": 0.32445565003875587,
1254
+ "learning_rate": 3.106986689874204e-05,
1255
+ "loss": 0.2347,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.448220064724919,
1260
+ "grad_norm": 0.29535887592241783,
1261
+ "learning_rate": 3.0841283259662875e-05,
1262
+ "loss": 0.2385,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.4563106796116505,
1267
+ "grad_norm": 0.2733621998571008,
1268
+ "learning_rate": 3.0612181903625014e-05,
1269
+ "loss": 0.2359,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.4644012944983817,
1274
+ "grad_norm": 0.2698891118245767,
1275
+ "learning_rate": 3.0382583136039444e-05,
1276
+ "loss": 0.2339,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.4724919093851132,
1281
+ "grad_norm": 0.30735748022487547,
1282
+ "learning_rate": 3.015250730640308e-05,
1283
+ "loss": 0.237,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.4805825242718447,
1288
+ "grad_norm": 0.35024703112347744,
1289
+ "learning_rate": 2.9921974806495178e-05,
1290
+ "loss": 0.2301,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.4886731391585761,
1295
+ "grad_norm": 0.27111655738392937,
1296
+ "learning_rate": 2.969100606856998e-05,
1297
+ "loss": 0.2339,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.4967637540453074,
1302
+ "grad_norm": 0.2787522117740128,
1303
+ "learning_rate": 2.9459621563545825e-05,
1304
+ "loss": 0.2385,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.5048543689320388,
1309
+ "grad_norm": 0.2969133211792456,
1310
+ "learning_rate": 2.9227841799190775e-05,
1311
+ "loss": 0.2305,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.51294498381877,
1316
+ "grad_norm": 0.2613286640167969,
1317
+ "learning_rate": 2.8995687318304975e-05,
1318
+ "loss": 0.2328,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.5210355987055015,
1323
+ "grad_norm": 0.27216163489187184,
1324
+ "learning_rate": 2.8763178696899995e-05,
1325
+ "loss": 0.2373,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.529126213592233,
1330
+ "grad_norm": 0.2964461145886047,
1331
+ "learning_rate": 2.853033654237507e-05,
1332
+ "loss": 0.2289,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.5372168284789645,
1337
+ "grad_norm": 0.32949202305010017,
1338
+ "learning_rate": 2.8297181491690756e-05,
1339
+ "loss": 0.23,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.545307443365696,
1344
+ "grad_norm": 0.3071880700004742,
1345
+ "learning_rate": 2.8063734209539773e-05,
1346
+ "loss": 0.2367,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.5533980582524272,
1351
+ "grad_norm": 0.2529468819780906,
1352
+ "learning_rate": 2.783001538651554e-05,
1353
+ "loss": 0.2292,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.5614886731391586,
1358
+ "grad_norm": 0.2773840151703638,
1359
+ "learning_rate": 2.7596045737278336e-05,
1360
+ "loss": 0.2398,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.5695792880258899,
1365
+ "grad_norm": 0.295185746563609,
1366
+ "learning_rate": 2.7361845998719315e-05,
1367
+ "loss": 0.2325,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.5776699029126213,
1372
+ "grad_norm": 0.25593073129115584,
1373
+ "learning_rate": 2.7127436928122612e-05,
1374
+ "loss": 0.2367,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.5857605177993528,
1379
+ "grad_norm": 0.3516341035154705,
1380
+ "learning_rate": 2.6892839301325623e-05,
1381
+ "loss": 0.239,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.5938511326860842,
1386
+ "grad_norm": 0.27153437539635045,
1387
+ "learning_rate": 2.6658073910877603e-05,
1388
+ "loss": 0.2288,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.6019417475728155,
1393
+ "grad_norm": 0.26490849237503283,
1394
+ "learning_rate": 2.6423161564196803e-05,
1395
+ "loss": 0.231,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.610032362459547,
1400
+ "grad_norm": 0.25415769405974487,
1401
+ "learning_rate": 2.6188123081726306e-05,
1402
+ "loss": 0.2341,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.6181229773462782,
1407
+ "grad_norm": 0.2566774871023634,
1408
+ "learning_rate": 2.5952979295088714e-05,
1409
+ "loss": 0.2303,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 1.6262135922330097,
1414
+ "grad_norm": 0.28720215998836357,
1415
+ "learning_rate": 2.57177510452398e-05,
1416
+ "loss": 0.2297,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 1.6343042071197411,
1421
+ "grad_norm": 0.26535154825569424,
1422
+ "learning_rate": 2.5482459180621377e-05,
1423
+ "loss": 0.2336,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 1.6423948220064726,
1428
+ "grad_norm": 0.2348030131858575,
1429
+ "learning_rate": 2.524712455531347e-05,
1430
+ "loss": 0.2283,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 1.650485436893204,
1435
+ "grad_norm": 0.2981340903697484,
1436
+ "learning_rate": 2.501176802718599e-05,
1437
+ "loss": 0.2367,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 1.6585760517799353,
1442
+ "grad_norm": 0.2508609786813777,
1443
+ "learning_rate": 2.4776410456050165e-05,
1444
+ "loss": 0.232,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 1.6666666666666665,
1449
+ "grad_norm": 0.2760175375931361,
1450
+ "learning_rate": 2.4541072701809624e-05,
1451
+ "loss": 0.2348,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 1.674757281553398,
1456
+ "grad_norm": 0.2681609470474934,
1457
+ "learning_rate": 2.4305775622611627e-05,
1458
+ "loss": 0.2285,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 1.6828478964401294,
1463
+ "grad_norm": 0.3323878551187027,
1464
+ "learning_rate": 2.4070540072998372e-05,
1465
+ "loss": 0.2272,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 1.690938511326861,
1470
+ "grad_norm": 0.24794381758629244,
1471
+ "learning_rate": 2.3835386902058637e-05,
1472
+ "loss": 0.2292,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 1.6990291262135924,
1477
+ "grad_norm": 0.26234035679605566,
1478
+ "learning_rate": 2.360033695157995e-05,
1479
+ "loss": 0.2337,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 1.7071197411003236,
1484
+ "grad_norm": 0.3095409200594481,
1485
+ "learning_rate": 2.3365411054201315e-05,
1486
+ "loss": 0.2265,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 1.715210355987055,
1491
+ "grad_norm": 0.24814239367844307,
1492
+ "learning_rate": 2.3130630031566818e-05,
1493
+ "loss": 0.2269,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 1.7233009708737863,
1498
+ "grad_norm": 0.2503027719931105,
1499
+ "learning_rate": 2.2896014692480226e-05,
1500
+ "loss": 0.231,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 1.7313915857605178,
1505
+ "grad_norm": 0.24658598678553392,
1506
+ "learning_rate": 2.266158583106063e-05,
1507
+ "loss": 0.228,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.7394822006472492,
1512
+ "grad_norm": 0.23999491418212948,
1513
+ "learning_rate": 2.2427364224899502e-05,
1514
+ "loss": 0.2289,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 1.7475728155339807,
1519
+ "grad_norm": 0.24294562795428556,
1520
+ "learning_rate": 2.2193370633219115e-05,
1521
+ "loss": 0.2295,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 1.755663430420712,
1526
+ "grad_norm": 0.27195306057038027,
1527
+ "learning_rate": 2.1959625795032664e-05,
1528
+ "loss": 0.2312,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 1.7637540453074434,
1533
+ "grad_norm": 0.31612469238407165,
1534
+ "learning_rate": 2.1726150427306182e-05,
1535
+ "loss": 0.2286,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 1.7718446601941746,
1540
+ "grad_norm": 0.29752263873224494,
1541
+ "learning_rate": 2.1492965223122305e-05,
1542
+ "loss": 0.2267,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 1.779935275080906,
1547
+ "grad_norm": 0.2603667246009949,
1548
+ "learning_rate": 2.126009084984629e-05,
1549
+ "loss": 0.2251,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 1.7880258899676376,
1554
+ "grad_norm": 0.26289071039247,
1555
+ "learning_rate": 2.102754794729426e-05,
1556
+ "loss": 0.2246,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 1.796116504854369,
1561
+ "grad_norm": 0.263903471162293,
1562
+ "learning_rate": 2.079535712590382e-05,
1563
+ "loss": 0.2282,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 1.8042071197411005,
1568
+ "grad_norm": 0.27035700806263924,
1569
+ "learning_rate": 2.056353896490742e-05,
1570
+ "loss": 0.2231,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 1.8122977346278317,
1575
+ "grad_norm": 0.2654192689718002,
1576
+ "learning_rate": 2.0332114010508334e-05,
1577
+ "loss": 0.2268,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 1.820388349514563,
1582
+ "grad_norm": 0.23959916600696418,
1583
+ "learning_rate": 2.010110277405966e-05,
1584
+ "loss": 0.2274,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 1.8284789644012944,
1589
+ "grad_norm": 0.24872872826123787,
1590
+ "learning_rate": 1.9870525730246424e-05,
1591
+ "loss": 0.2293,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 1.8365695792880259,
1596
+ "grad_norm": 0.2645954361424342,
1597
+ "learning_rate": 1.9640403315270824e-05,
1598
+ "loss": 0.2286,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 1.8446601941747574,
1603
+ "grad_norm": 0.24420673184598343,
1604
+ "learning_rate": 1.9410755925041006e-05,
1605
+ "loss": 0.2257,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 1.8527508090614888,
1610
+ "grad_norm": 0.24705849748195569,
1611
+ "learning_rate": 1.918160391336335e-05,
1612
+ "loss": 0.2259,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 1.86084142394822,
1617
+ "grad_norm": 0.2951271763878442,
1618
+ "learning_rate": 1.8952967590138472e-05,
1619
+ "loss": 0.2248,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 1.8689320388349513,
1624
+ "grad_norm": 0.2520418480110052,
1625
+ "learning_rate": 1.8724867219561203e-05,
1626
+ "loss": 0.2287,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 1.8770226537216828,
1631
+ "grad_norm": 0.294901863474176,
1632
+ "learning_rate": 1.8497323018324476e-05,
1633
+ "loss": 0.2252,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 1.8851132686084142,
1638
+ "grad_norm": 0.2620675111989084,
1639
+ "learning_rate": 1.8270355153827598e-05,
1640
+ "loss": 0.2243,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 1.8932038834951457,
1645
+ "grad_norm": 0.21729342901905718,
1646
+ "learning_rate": 1.804398374238872e-05,
1647
+ "loss": 0.2231,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 1.9012944983818771,
1652
+ "grad_norm": 0.26438351131145754,
1653
+ "learning_rate": 1.781822884746196e-05,
1654
+ "loss": 0.2203,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 1.9093851132686084,
1659
+ "grad_norm": 0.22358504292564055,
1660
+ "learning_rate": 1.7593110477859153e-05,
1661
+ "loss": 0.223,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 1.9174757281553398,
1666
+ "grad_norm": 0.24990353950246044,
1667
+ "learning_rate": 1.736864858597645e-05,
1668
+ "loss": 0.2233,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 1.925566343042071,
1673
+ "grad_norm": 0.24537211238465853,
1674
+ "learning_rate": 1.7144863066025955e-05,
1675
+ "loss": 0.2193,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 1.9336569579288025,
1680
+ "grad_norm": 0.2394304662544921,
1681
+ "learning_rate": 1.692177375227242e-05,
1682
+ "loss": 0.2251,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 1.941747572815534,
1687
+ "grad_norm": 0.2785110439501238,
1688
+ "learning_rate": 1.669940041727538e-05,
1689
+ "loss": 0.218,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 1.9498381877022655,
1694
+ "grad_norm": 0.23030205395765063,
1695
+ "learning_rate": 1.6477762770136707e-05,
1696
+ "loss": 0.225,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 1.9579288025889967,
1701
+ "grad_norm": 0.24458486846119534,
1702
+ "learning_rate": 1.625688045475371e-05,
1703
+ "loss": 0.2208,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 1.9660194174757282,
1708
+ "grad_norm": 0.223552780447482,
1709
+ "learning_rate": 1.603677304807815e-05,
1710
+ "loss": 0.2223,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 1.9741100323624594,
1715
+ "grad_norm": 0.23262918496301524,
1716
+ "learning_rate": 1.5817460058381088e-05,
1717
+ "loss": 0.2274,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 1.9822006472491909,
1722
+ "grad_norm": 0.2210251232882193,
1723
+ "learning_rate": 1.5598960923523842e-05,
1724
+ "loss": 0.2248,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 1.9902912621359223,
1729
+ "grad_norm": 0.2543751678692885,
1730
+ "learning_rate": 1.5381295009235262e-05,
1731
+ "loss": 0.2277,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 1.9983818770226538,
1736
+ "grad_norm": 0.2767394174239906,
1737
+ "learning_rate": 1.5164481607395238e-05,
1738
+ "loss": 0.2243,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 2.0064724919093853,
1743
+ "grad_norm": 0.2831027468460383,
1744
+ "learning_rate": 1.4948539934324923e-05,
1745
+ "loss": 0.1818,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 2.0145631067961167,
1750
+ "grad_norm": 0.23514037047255174,
1751
+ "learning_rate": 1.4733489129083534e-05,
1752
+ "loss": 0.1718,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 2.0226537216828477,
1757
+ "grad_norm": 0.23543211368476746,
1758
+ "learning_rate": 1.4519348251772058e-05,
1759
+ "loss": 0.1696,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 2.030744336569579,
1764
+ "grad_norm": 0.24256191701199467,
1765
+ "learning_rate": 1.4306136281843962e-05,
1766
+ "loss": 0.1691,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 2.0388349514563107,
1771
+ "grad_norm": 0.22234069623742508,
1772
+ "learning_rate": 1.4093872116422979e-05,
1773
+ "loss": 0.169,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 2.046925566343042,
1778
+ "grad_norm": 0.23132835680535235,
1779
+ "learning_rate": 1.3882574568628315e-05,
1780
+ "loss": 0.168,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 2.0550161812297736,
1785
+ "grad_norm": 0.23134456189741553,
1786
+ "learning_rate": 1.3672262365907163e-05,
1787
+ "loss": 0.1684,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 2.063106796116505,
1792
+ "grad_norm": 0.22760921973646828,
1793
+ "learning_rate": 1.3462954148374899e-05,
1794
+ "loss": 0.1661,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 2.071197411003236,
1799
+ "grad_norm": 0.21228629003960797,
1800
+ "learning_rate": 1.3254668467163029e-05,
1801
+ "loss": 0.1696,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 2.0792880258899675,
1806
+ "grad_norm": 0.2182291343034792,
1807
+ "learning_rate": 1.3047423782774937e-05,
1808
+ "loss": 0.1649,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 2.087378640776699,
1813
+ "grad_norm": 0.21718735716811796,
1814
+ "learning_rate": 1.2841238463449743e-05,
1815
+ "loss": 0.1719,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 2.0954692556634305,
1820
+ "grad_norm": 0.22472401035201942,
1821
+ "learning_rate": 1.2636130783534319e-05,
1822
+ "loss": 0.1703,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 2.103559870550162,
1827
+ "grad_norm": 0.21069125465698005,
1828
+ "learning_rate": 1.2432118921863604e-05,
1829
+ "loss": 0.168,
1830
+ "step": 2600
1831
+ },
1832
+ {
1833
+ "epoch": 2.1116504854368934,
1834
+ "grad_norm": 0.21446866638864276,
1835
+ "learning_rate": 1.2229220960149431e-05,
1836
+ "loss": 0.1695,
1837
+ "step": 2610
1838
+ },
1839
+ {
1840
+ "epoch": 2.1197411003236244,
1841
+ "grad_norm": 0.21738468937149366,
1842
+ "learning_rate": 1.2027454881377889e-05,
1843
+ "loss": 0.1675,
1844
+ "step": 2620
1845
+ },
1846
+ {
1847
+ "epoch": 2.127831715210356,
1848
+ "grad_norm": 0.22154845083846222,
1849
+ "learning_rate": 1.1826838568215526e-05,
1850
+ "loss": 0.1685,
1851
+ "step": 2630
1852
+ },
1853
+ {
1854
+ "epoch": 2.1359223300970873,
1855
+ "grad_norm": 0.20713221800601425,
1856
+ "learning_rate": 1.1627389801424351e-05,
1857
+ "loss": 0.1706,
1858
+ "step": 2640
1859
+ },
1860
+ {
1861
+ "epoch": 2.144012944983819,
1862
+ "grad_norm": 0.20802282917927592,
1863
+ "learning_rate": 1.1429126258285946e-05,
1864
+ "loss": 0.1661,
1865
+ "step": 2650
1866
+ },
1867
+ {
1868
+ "epoch": 2.1521035598705502,
1869
+ "grad_norm": 0.20646189593102915,
1870
+ "learning_rate": 1.1232065511034696e-05,
1871
+ "loss": 0.1663,
1872
+ "step": 2660
1873
+ },
1874
+ {
1875
+ "epoch": 2.1601941747572817,
1876
+ "grad_norm": 0.21341477579858295,
1877
+ "learning_rate": 1.1036225025300357e-05,
1878
+ "loss": 0.1687,
1879
+ "step": 2670
1880
+ },
1881
+ {
1882
+ "epoch": 2.168284789644013,
1883
+ "grad_norm": 0.21356709357188863,
1884
+ "learning_rate": 1.0841622158560085e-05,
1885
+ "loss": 0.1668,
1886
+ "step": 2680
1887
+ },
1888
+ {
1889
+ "epoch": 2.176375404530744,
1890
+ "grad_norm": 0.20685337347705235,
1891
+ "learning_rate": 1.0648274158599994e-05,
1892
+ "loss": 0.1698,
1893
+ "step": 2690
1894
+ },
1895
+ {
1896
+ "epoch": 2.1844660194174756,
1897
+ "grad_norm": 0.22156407557595678,
1898
+ "learning_rate": 1.0456198161986489e-05,
1899
+ "loss": 0.1753,
1900
+ "step": 2700
1901
+ },
1902
+ {
1903
+ "epoch": 2.192556634304207,
1904
+ "grad_norm": 0.2035462284179136,
1905
+ "learning_rate": 1.0265411192547462e-05,
1906
+ "loss": 0.1718,
1907
+ "step": 2710
1908
+ },
1909
+ {
1910
+ "epoch": 2.2006472491909386,
1911
+ "grad_norm": 0.20189924705262216,
1912
+ "learning_rate": 1.0075930159863416e-05,
1913
+ "loss": 0.1661,
1914
+ "step": 2720
1915
+ },
1916
+ {
1917
+ "epoch": 2.20873786407767,
1918
+ "grad_norm": 0.20956549431298424,
1919
+ "learning_rate": 9.887771857768796e-06,
1920
+ "loss": 0.1683,
1921
+ "step": 2730
1922
+ },
1923
+ {
1924
+ "epoch": 2.2168284789644015,
1925
+ "grad_norm": 0.2140205114087363,
1926
+ "learning_rate": 9.700952962863513e-06,
1927
+ "loss": 0.1701,
1928
+ "step": 2740
1929
+ },
1930
+ {
1931
+ "epoch": 2.2249190938511325,
1932
+ "grad_norm": 0.20398172720239158,
1933
+ "learning_rate": 9.515490033034893e-06,
1934
+ "loss": 0.1667,
1935
+ "step": 2750
1936
+ },
1937
+ {
1938
+ "epoch": 2.233009708737864,
1939
+ "grad_norm": 0.20165594228560696,
1940
+ "learning_rate": 9.331399505990168e-06,
1941
+ "loss": 0.1655,
1942
+ "step": 2760
1943
+ },
1944
+ {
1945
+ "epoch": 2.2411003236245954,
1946
+ "grad_norm": 0.20182970094436348,
1947
+ "learning_rate": 9.148697697799533e-06,
1948
+ "loss": 0.1694,
1949
+ "step": 2770
1950
+ },
1951
+ {
1952
+ "epoch": 2.249190938511327,
1953
+ "grad_norm": 0.2291167648037075,
1954
+ "learning_rate": 8.967400801450105e-06,
1955
+ "loss": 0.1685,
1956
+ "step": 2780
1957
+ },
1958
+ {
1959
+ "epoch": 2.2572815533980584,
1960
+ "grad_norm": 0.20375204743694134,
1961
+ "learning_rate": 8.787524885410678e-06,
1962
+ "loss": 0.1638,
1963
+ "step": 2790
1964
+ },
1965
+ {
1966
+ "epoch": 2.26537216828479,
1967
+ "grad_norm": 0.214007858233087,
1968
+ "learning_rate": 8.60908589220758e-06,
1969
+ "loss": 0.1676,
1970
+ "step": 2800
1971
+ },
1972
+ {
1973
+ "epoch": 2.273462783171521,
1974
+ "grad_norm": 0.2025950468246571,
1975
+ "learning_rate": 8.432099637011693e-06,
1976
+ "loss": 0.1657,
1977
+ "step": 2810
1978
+ },
1979
+ {
1980
+ "epoch": 2.2815533980582523,
1981
+ "grad_norm": 0.21480260045098348,
1982
+ "learning_rate": 8.256581806236704e-06,
1983
+ "loss": 0.1649,
1984
+ "step": 2820
1985
+ },
1986
+ {
1987
+ "epoch": 2.2896440129449838,
1988
+ "grad_norm": 0.2052262400110326,
1989
+ "learning_rate": 8.082547956148873e-06,
1990
+ "loss": 0.1663,
1991
+ "step": 2830
1992
+ },
1993
+ {
1994
+ "epoch": 2.2977346278317152,
1995
+ "grad_norm": 0.20019987270861134,
1996
+ "learning_rate": 7.91001351148819e-06,
1997
+ "loss": 0.1653,
1998
+ "step": 2840
1999
+ },
2000
+ {
2001
+ "epoch": 2.3058252427184467,
2002
+ "grad_norm": 0.207551520801799,
2003
+ "learning_rate": 7.738993764101324e-06,
2004
+ "loss": 0.1677,
2005
+ "step": 2850
2006
+ },
2007
+ {
2008
+ "epoch": 2.313915857605178,
2009
+ "grad_norm": 0.19280865204847908,
2010
+ "learning_rate": 7.569503871586292e-06,
2011
+ "loss": 0.1674,
2012
+ "step": 2860
2013
+ },
2014
+ {
2015
+ "epoch": 2.3220064724919096,
2016
+ "grad_norm": 0.20122645680053192,
2017
+ "learning_rate": 7.401558855949004e-06,
2018
+ "loss": 0.1678,
2019
+ "step": 2870
2020
+ },
2021
+ {
2022
+ "epoch": 2.3300970873786406,
2023
+ "grad_norm": 0.1945489837836613,
2024
+ "learning_rate": 7.235173602271875e-06,
2025
+ "loss": 0.162,
2026
+ "step": 2880
2027
+ },
2028
+ {
2029
+ "epoch": 2.338187702265372,
2030
+ "grad_norm": 0.2051511298220981,
2031
+ "learning_rate": 7.070362857394538e-06,
2032
+ "loss": 0.1712,
2033
+ "step": 2890
2034
+ },
2035
+ {
2036
+ "epoch": 2.3462783171521036,
2037
+ "grad_norm": 0.2038615765888219,
2038
+ "learning_rate": 6.907141228606831e-06,
2039
+ "loss": 0.1664,
2040
+ "step": 2900
2041
+ },
2042
+ {
2043
+ "epoch": 2.354368932038835,
2044
+ "grad_norm": 0.19824356024446557,
2045
+ "learning_rate": 6.745523182354147e-06,
2046
+ "loss": 0.1634,
2047
+ "step": 2910
2048
+ },
2049
+ {
2050
+ "epoch": 2.3624595469255665,
2051
+ "grad_norm": 0.1897897800458373,
2052
+ "learning_rate": 6.585523042955233e-06,
2053
+ "loss": 0.1633,
2054
+ "step": 2920
2055
+ },
2056
+ {
2057
+ "epoch": 2.3705501618122975,
2058
+ "grad_norm": 0.19361276633294466,
2059
+ "learning_rate": 6.427154991332665e-06,
2060
+ "loss": 0.1665,
2061
+ "step": 2930
2062
+ },
2063
+ {
2064
+ "epoch": 2.378640776699029,
2065
+ "grad_norm": 0.19269698264895235,
2066
+ "learning_rate": 6.2704330637559315e-06,
2067
+ "loss": 0.1632,
2068
+ "step": 2940
2069
+ },
2070
+ {
2071
+ "epoch": 2.3867313915857604,
2072
+ "grad_norm": 0.19487091156668288,
2073
+ "learning_rate": 6.115371150597413e-06,
2074
+ "loss": 0.1657,
2075
+ "step": 2950
2076
+ },
2077
+ {
2078
+ "epoch": 2.394822006472492,
2079
+ "grad_norm": 0.17726783434092147,
2080
+ "learning_rate": 5.961982995101301e-06,
2081
+ "loss": 0.1652,
2082
+ "step": 2960
2083
+ },
2084
+ {
2085
+ "epoch": 2.4029126213592233,
2086
+ "grad_norm": 0.19174116985719267,
2087
+ "learning_rate": 5.810282192165442e-06,
2088
+ "loss": 0.1674,
2089
+ "step": 2970
2090
+ },
2091
+ {
2092
+ "epoch": 2.411003236245955,
2093
+ "grad_norm": 0.20196362222659836,
2094
+ "learning_rate": 5.660282187136507e-06,
2095
+ "loss": 0.1648,
2096
+ "step": 2980
2097
+ },
2098
+ {
2099
+ "epoch": 2.4190938511326863,
2100
+ "grad_norm": 0.2037293127188244,
2101
+ "learning_rate": 5.511996274618253e-06,
2102
+ "loss": 0.1673,
2103
+ "step": 2990
2104
+ },
2105
+ {
2106
+ "epoch": 2.4271844660194173,
2107
+ "grad_norm": 0.2075997573199353,
2108
+ "learning_rate": 5.365437597293238e-06,
2109
+ "loss": 0.1681,
2110
+ "step": 3000
2111
+ },
2112
+ {
2113
+ "epoch": 2.4352750809061487,
2114
+ "grad_norm": 0.19485346480204271,
2115
+ "learning_rate": 5.220619144757996e-06,
2116
+ "loss": 0.168,
2117
+ "step": 3010
2118
+ },
2119
+ {
2120
+ "epoch": 2.44336569579288,
2121
+ "grad_norm": 0.20032468931249656,
2122
+ "learning_rate": 5.077553752371708e-06,
2123
+ "loss": 0.1695,
2124
+ "step": 3020
2125
+ },
2126
+ {
2127
+ "epoch": 2.4514563106796117,
2128
+ "grad_norm": 0.18780814063723766,
2129
+ "learning_rate": 4.936254100118656e-06,
2130
+ "loss": 0.1626,
2131
+ "step": 3030
2132
+ },
2133
+ {
2134
+ "epoch": 2.459546925566343,
2135
+ "grad_norm": 0.20597954746449326,
2136
+ "learning_rate": 4.796732711484342e-06,
2137
+ "loss": 0.1688,
2138
+ "step": 3040
2139
+ },
2140
+ {
2141
+ "epoch": 2.4676375404530746,
2142
+ "grad_norm": 0.1884986064298571,
2143
+ "learning_rate": 4.659001952345538e-06,
2144
+ "loss": 0.1618,
2145
+ "step": 3050
2146
+ },
2147
+ {
2148
+ "epoch": 2.475728155339806,
2149
+ "grad_norm": 0.19330264761303187,
2150
+ "learning_rate": 4.523074029874291e-06,
2151
+ "loss": 0.1611,
2152
+ "step": 3060
2153
+ },
2154
+ {
2155
+ "epoch": 2.483818770226537,
2156
+ "grad_norm": 0.1899995190829889,
2157
+ "learning_rate": 4.388960991455998e-06,
2158
+ "loss": 0.1642,
2159
+ "step": 3070
2160
+ },
2161
+ {
2162
+ "epoch": 2.4919093851132685,
2163
+ "grad_norm": 0.20352479818055758,
2164
+ "learning_rate": 4.256674723621621e-06,
2165
+ "loss": 0.165,
2166
+ "step": 3080
2167
+ },
2168
+ {
2169
+ "epoch": 2.5,
2170
+ "grad_norm": 0.19705480301688083,
2171
+ "learning_rate": 4.126226950994211e-06,
2172
+ "loss": 0.1633,
2173
+ "step": 3090
2174
+ },
2175
+ {
2176
+ "epoch": 2.5080906148867315,
2177
+ "grad_norm": 0.19973033430929824,
2178
+ "learning_rate": 3.997629235249692e-06,
2179
+ "loss": 0.1645,
2180
+ "step": 3100
2181
+ },
2182
+ {
2183
+ "epoch": 2.516181229773463,
2184
+ "grad_norm": 0.19227297342228458,
2185
+ "learning_rate": 3.870892974092197e-06,
2186
+ "loss": 0.1657,
2187
+ "step": 3110
2188
+ },
2189
+ {
2190
+ "epoch": 2.524271844660194,
2191
+ "grad_norm": 0.19226389494086693,
2192
+ "learning_rate": 3.7460294002438444e-06,
2193
+ "loss": 0.1649,
2194
+ "step": 3120
2195
+ },
2196
+ {
2197
+ "epoch": 2.5323624595469254,
2198
+ "grad_norm": 0.23947157434034713,
2199
+ "learning_rate": 3.6230495804491864e-06,
2200
+ "loss": 0.1638,
2201
+ "step": 3130
2202
+ },
2203
+ {
2204
+ "epoch": 2.540453074433657,
2205
+ "grad_norm": 0.18606261818175104,
2206
+ "learning_rate": 3.5019644144943576e-06,
2207
+ "loss": 0.1657,
2208
+ "step": 3140
2209
+ },
2210
+ {
2211
+ "epoch": 2.5485436893203883,
2212
+ "grad_norm": 0.18558275603040017,
2213
+ "learning_rate": 3.382784634241015e-06,
2214
+ "loss": 0.1626,
2215
+ "step": 3150
2216
+ },
2217
+ {
2218
+ "epoch": 2.55663430420712,
2219
+ "grad_norm": 0.1838874793051254,
2220
+ "learning_rate": 3.2655208026751816e-06,
2221
+ "loss": 0.1645,
2222
+ "step": 3160
2223
+ },
2224
+ {
2225
+ "epoch": 2.5647249190938513,
2226
+ "grad_norm": 0.18161462708162493,
2227
+ "learning_rate": 3.150183312971014e-06,
2228
+ "loss": 0.1625,
2229
+ "step": 3170
2230
+ },
2231
+ {
2232
+ "epoch": 2.5728155339805827,
2233
+ "grad_norm": 0.18098413098000662,
2234
+ "learning_rate": 3.036782387569659e-06,
2235
+ "loss": 0.1623,
2236
+ "step": 3180
2237
+ },
2238
+ {
2239
+ "epoch": 2.5809061488673137,
2240
+ "grad_norm": 0.19242866333812558,
2241
+ "learning_rate": 2.9253280772732595e-06,
2242
+ "loss": 0.1627,
2243
+ "step": 3190
2244
+ },
2245
+ {
2246
+ "epoch": 2.588996763754045,
2247
+ "grad_norm": 0.17889937009144094,
2248
+ "learning_rate": 2.8158302603540965e-06,
2249
+ "loss": 0.1609,
2250
+ "step": 3200
2251
+ },
2252
+ {
2253
+ "epoch": 2.5970873786407767,
2254
+ "grad_norm": 0.1879805259242369,
2255
+ "learning_rate": 2.708298641679105e-06,
2256
+ "loss": 0.1642,
2257
+ "step": 3210
2258
+ },
2259
+ {
2260
+ "epoch": 2.605177993527508,
2261
+ "grad_norm": 0.18048882079511047,
2262
+ "learning_rate": 2.6027427518497153e-06,
2263
+ "loss": 0.1634,
2264
+ "step": 3220
2265
+ },
2266
+ {
2267
+ "epoch": 2.6132686084142396,
2268
+ "grad_norm": 0.18903574393083356,
2269
+ "learning_rate": 2.49917194635714e-06,
2270
+ "loss": 0.1607,
2271
+ "step": 3230
2272
+ },
2273
+ {
2274
+ "epoch": 2.6213592233009706,
2275
+ "grad_norm": 0.18631019977805036,
2276
+ "learning_rate": 2.397595404753225e-06,
2277
+ "loss": 0.1589,
2278
+ "step": 3240
2279
+ },
2280
+ {
2281
+ "epoch": 2.6294498381877025,
2282
+ "grad_norm": 0.18583873327326217,
2283
+ "learning_rate": 2.2980221298367995e-06,
2284
+ "loss": 0.1679,
2285
+ "step": 3250
2286
+ },
2287
+ {
2288
+ "epoch": 2.6375404530744335,
2289
+ "grad_norm": 0.1872827952915852,
2290
+ "learning_rate": 2.2004609468558175e-06,
2291
+ "loss": 0.1648,
2292
+ "step": 3260
2293
+ },
2294
+ {
2295
+ "epoch": 2.645631067961165,
2296
+ "grad_norm": 0.18646198991723772,
2297
+ "learning_rate": 2.1049205027251216e-06,
2298
+ "loss": 0.1648,
2299
+ "step": 3270
2300
+ },
2301
+ {
2302
+ "epoch": 2.6537216828478964,
2303
+ "grad_norm": 0.18510117286188082,
2304
+ "learning_rate": 2.0114092652600806e-06,
2305
+ "loss": 0.1669,
2306
+ "step": 3280
2307
+ },
2308
+ {
2309
+ "epoch": 2.661812297734628,
2310
+ "grad_norm": 0.1813478635510933,
2311
+ "learning_rate": 1.919935522426081e-06,
2312
+ "loss": 0.1601,
2313
+ "step": 3290
2314
+ },
2315
+ {
2316
+ "epoch": 2.6699029126213594,
2317
+ "grad_norm": 0.18995739003728715,
2318
+ "learning_rate": 1.8305073816039492e-06,
2319
+ "loss": 0.165,
2320
+ "step": 3300
2321
+ },
2322
+ {
2323
+ "epoch": 2.6779935275080904,
2324
+ "grad_norm": 0.18850255636775962,
2325
+ "learning_rate": 1.7431327688714139e-06,
2326
+ "loss": 0.1686,
2327
+ "step": 3310
2328
+ },
2329
+ {
2330
+ "epoch": 2.686084142394822,
2331
+ "grad_norm": 0.19405450386616901,
2332
+ "learning_rate": 1.6578194283005804e-06,
2333
+ "loss": 0.1586,
2334
+ "step": 3320
2335
+ },
2336
+ {
2337
+ "epoch": 2.6941747572815533,
2338
+ "grad_norm": 0.18168641096398497,
2339
+ "learning_rate": 1.5745749212715794e-06,
2340
+ "loss": 0.1669,
2341
+ "step": 3330
2342
+ },
2343
+ {
2344
+ "epoch": 2.7022653721682848,
2345
+ "grad_norm": 0.18390467428127966,
2346
+ "learning_rate": 1.4934066258024182e-06,
2347
+ "loss": 0.1681,
2348
+ "step": 3340
2349
+ },
2350
+ {
2351
+ "epoch": 2.7103559870550162,
2352
+ "grad_norm": 0.18623903954773796,
2353
+ "learning_rate": 1.4143217358950217e-06,
2354
+ "loss": 0.1648,
2355
+ "step": 3350
2356
+ },
2357
+ {
2358
+ "epoch": 2.7184466019417477,
2359
+ "grad_norm": 0.18708444577479785,
2360
+ "learning_rate": 1.3373272608976668e-06,
2361
+ "loss": 0.1635,
2362
+ "step": 3360
2363
+ },
2364
+ {
2365
+ "epoch": 2.726537216828479,
2366
+ "grad_norm": 0.1850383082145996,
2367
+ "learning_rate": 1.2624300248836928e-06,
2368
+ "loss": 0.1607,
2369
+ "step": 3370
2370
+ },
2371
+ {
2372
+ "epoch": 2.73462783171521,
2373
+ "grad_norm": 0.19358386622393567,
2374
+ "learning_rate": 1.1896366660467173e-06,
2375
+ "loss": 0.1645,
2376
+ "step": 3380
2377
+ },
2378
+ {
2379
+ "epoch": 2.7427184466019416,
2380
+ "grad_norm": 0.17960690916881664,
2381
+ "learning_rate": 1.1189536361122799e-06,
2382
+ "loss": 0.1628,
2383
+ "step": 3390
2384
+ },
2385
+ {
2386
+ "epoch": 2.750809061488673,
2387
+ "grad_norm": 0.20127134763525154,
2388
+ "learning_rate": 1.0503871997660036e-06,
2389
+ "loss": 0.168,
2390
+ "step": 3400
2391
+ },
2392
+ {
2393
+ "epoch": 2.7588996763754046,
2394
+ "grad_norm": 0.19658936043581707,
2395
+ "learning_rate": 9.83943434098372e-07,
2396
+ "loss": 0.1633,
2397
+ "step": 3410
2398
+ },
2399
+ {
2400
+ "epoch": 2.766990291262136,
2401
+ "grad_norm": 0.18650679653778446,
2402
+ "learning_rate": 9.196282280661023e-07,
2403
+ "loss": 0.1673,
2404
+ "step": 3420
2405
+ },
2406
+ {
2407
+ "epoch": 2.775080906148867,
2408
+ "grad_norm": 0.1733323921140541,
2409
+ "learning_rate": 8.574472819702029e-07,
2410
+ "loss": 0.1652,
2411
+ "step": 3430
2412
+ },
2413
+ {
2414
+ "epoch": 2.783171521035599,
2415
+ "grad_norm": 0.17972872694953243,
2416
+ "learning_rate": 7.974061069507571e-07,
2417
+ "loss": 0.1636,
2418
+ "step": 3440
2419
+ },
2420
+ {
2421
+ "epoch": 2.79126213592233,
2422
+ "grad_norm": 0.1777461753836034,
2423
+ "learning_rate": 7.395100244984604e-07,
2424
+ "loss": 0.1634,
2425
+ "step": 3450
2426
+ },
2427
+ {
2428
+ "epoch": 2.7993527508090614,
2429
+ "grad_norm": 0.18989630729322288,
2430
+ "learning_rate": 6.837641659829807e-07,
2431
+ "loss": 0.1661,
2432
+ "step": 3460
2433
+ },
2434
+ {
2435
+ "epoch": 2.807443365695793,
2436
+ "grad_norm": 0.17625775327505652,
2437
+ "learning_rate": 6.301734721981533e-07,
2438
+ "loss": 0.1643,
2439
+ "step": 3470
2440
+ },
2441
+ {
2442
+ "epoch": 2.8155339805825244,
2443
+ "grad_norm": 0.1862820489099266,
2444
+ "learning_rate": 5.787426929240808e-07,
2445
+ "loss": 0.1643,
2446
+ "step": 3480
2447
+ },
2448
+ {
2449
+ "epoch": 2.823624595469256,
2450
+ "grad_norm": 0.1790622651864573,
2451
+ "learning_rate": 5.294763865061558e-07,
2452
+ "loss": 0.1626,
2453
+ "step": 3490
2454
+ },
2455
+ {
2456
+ "epoch": 2.831715210355987,
2457
+ "grad_norm": 0.173713637483726,
2458
+ "learning_rate": 4.823789194510514e-07,
2459
+ "loss": 0.1639,
2460
+ "step": 3500
2461
+ },
2462
+ {
2463
+ "epoch": 2.8398058252427183,
2464
+ "grad_norm": 0.1866652309901256,
2465
+ "learning_rate": 4.3745446603971064e-07,
2466
+ "loss": 0.1602,
2467
+ "step": 3510
2468
+ },
2469
+ {
2470
+ "epoch": 2.8478964401294498,
2471
+ "grad_norm": 0.17910113776598907,
2472
+ "learning_rate": 3.947070079573872e-07,
2473
+ "loss": 0.1642,
2474
+ "step": 3520
2475
+ },
2476
+ {
2477
+ "epoch": 2.855987055016181,
2478
+ "grad_norm": 0.18065751924055337,
2479
+ "learning_rate": 3.541403339407279e-07,
2480
+ "loss": 0.1656,
2481
+ "step": 3530
2482
+ },
2483
+ {
2484
+ "epoch": 2.8640776699029127,
2485
+ "grad_norm": 0.18007167117331419,
2486
+ "learning_rate": 3.1575803944199624e-07,
2487
+ "loss": 0.1651,
2488
+ "step": 3540
2489
+ },
2490
+ {
2491
+ "epoch": 2.872168284789644,
2492
+ "grad_norm": 0.18247762658055755,
2493
+ "learning_rate": 2.7956352631038906e-07,
2494
+ "loss": 0.1623,
2495
+ "step": 3550
2496
+ },
2497
+ {
2498
+ "epoch": 2.8802588996763756,
2499
+ "grad_norm": 0.17849381652959184,
2500
+ "learning_rate": 2.4556000249054133e-07,
2501
+ "loss": 0.1653,
2502
+ "step": 3560
2503
+ },
2504
+ {
2505
+ "epoch": 2.8883495145631066,
2506
+ "grad_norm": 0.1846373828579316,
2507
+ "learning_rate": 2.1375048173818412e-07,
2508
+ "loss": 0.1691,
2509
+ "step": 3570
2510
+ },
2511
+ {
2512
+ "epoch": 2.896440129449838,
2513
+ "grad_norm": 0.17151731227871805,
2514
+ "learning_rate": 1.8413778335305e-07,
2515
+ "loss": 0.1606,
2516
+ "step": 3580
2517
+ },
2518
+ {
2519
+ "epoch": 2.9045307443365695,
2520
+ "grad_norm": 0.22901848451176904,
2521
+ "learning_rate": 1.567245319290006e-07,
2522
+ "loss": 0.1607,
2523
+ "step": 3590
2524
+ },
2525
+ {
2526
+ "epoch": 2.912621359223301,
2527
+ "grad_norm": 0.1841472999781577,
2528
+ "learning_rate": 1.315131571213879e-07,
2529
+ "loss": 0.1659,
2530
+ "step": 3600
2531
+ },
2532
+ {
2533
+ "epoch": 2.9207119741100325,
2534
+ "grad_norm": 0.17620735263373793,
2535
+ "learning_rate": 1.0850589343172624e-07,
2536
+ "loss": 0.163,
2537
+ "step": 3610
2538
+ },
2539
+ {
2540
+ "epoch": 2.9288025889967635,
2541
+ "grad_norm": 0.1732366383013906,
2542
+ "learning_rate": 8.770478000964532e-08,
2543
+ "loss": 0.1603,
2544
+ "step": 3620
2545
+ },
2546
+ {
2547
+ "epoch": 2.9368932038834954,
2548
+ "grad_norm": 0.18106989776343552,
2549
+ "learning_rate": 6.911166047215145e-08,
2550
+ "loss": 0.1639,
2551
+ "step": 3630
2552
+ },
2553
+ {
2554
+ "epoch": 2.9449838187702264,
2555
+ "grad_norm": 0.18480994602766684,
2556
+ "learning_rate": 5.272818274023872e-08,
2557
+ "loss": 0.163,
2558
+ "step": 3640
2559
+ },
2560
+ {
2561
+ "epoch": 2.953074433656958,
2562
+ "grad_norm": 0.17298187343963853,
2563
+ "learning_rate": 3.855579889282257e-08,
2564
+ "loss": 0.1607,
2565
+ "step": 3650
2566
+ },
2567
+ {
2568
+ "epoch": 2.9611650485436893,
2569
+ "grad_norm": 0.1826761908488716,
2570
+ "learning_rate": 2.6595765038045507e-08,
2571
+ "loss": 0.1598,
2572
+ "step": 3660
2573
+ },
2574
+ {
2575
+ "epoch": 2.969255663430421,
2576
+ "grad_norm": 0.18104206371371273,
2577
+ "learning_rate": 1.6849141201946693e-08,
2578
+ "loss": 0.1656,
2579
+ "step": 3670
2580
+ },
2581
+ {
2582
+ "epoch": 2.9773462783171523,
2583
+ "grad_norm": 0.17420913687043998,
2584
+ "learning_rate": 9.316791234506572e-09,
2585
+ "loss": 0.1589,
2586
+ "step": 3680
2587
+ },
2588
+ {
2589
+ "epoch": 2.9854368932038833,
2590
+ "grad_norm": 0.177305619544985,
2591
+ "learning_rate": 3.999382733096968e-09,
2592
+ "loss": 0.1633,
2593
+ "step": 3690
2594
+ },
2595
+ {
2596
+ "epoch": 2.9935275080906147,
2597
+ "grad_norm": 0.17610657137080274,
2598
+ "learning_rate": 8.973869832895609e-10,
2599
+ "loss": 0.1623,
2600
+ "step": 3700
2601
+ },
2602
+ {
2603
+ "epoch": 3.0,
2604
+ "step": 3708,
2605
+ "total_flos": 6.364819972765516e+18,
2606
+ "train_loss": 0.2649726264235014,
2607
+ "train_runtime": 208629.7363,
2608
+ "train_samples_per_second": 0.569,
2609
+ "train_steps_per_second": 0.018
2610
+ }
2611
+ ],
2612
+ "logging_steps": 10,
2613
+ "max_steps": 3708,
2614
+ "num_input_tokens_seen": 0,
2615
+ "num_train_epochs": 3,
2616
+ "save_steps": 500,
2617
+ "stateful_callbacks": {
2618
+ "TrainerControl": {
2619
+ "args": {
2620
+ "should_epoch_stop": false,
2621
+ "should_evaluate": false,
2622
+ "should_log": false,
2623
+ "should_save": true,
2624
+ "should_training_stop": true
2625
+ },
2626
+ "attributes": {}
2627
+ }
2628
+ },
2629
+ "total_flos": 6.364819972765516e+18,
2630
+ "train_batch_size": 2,
2631
+ "trial_name": null,
2632
+ "trial_params": null
2633
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cea2cc34d068b43f5f15fcf4b3b00ad0f535091c89422c3523e5bd862f073f10
3
+ size 7736
training_loss.png ADDED
vocab.json ADDED
The diff for this file is too large to render. See raw diff