Model save

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- trl
+- reward-trainer
+- generated_from_trainer
+datasets:
+- hdfs_rlhf_log_summary_dataset
+metrics:
+- accuracy
+model-index:
+- name: log_sage_reward_model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: hdfs_rlhf_log_summary_dataset
+      type: hdfs_rlhf_log_summary_dataset
+      config: default
+      split: None
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# log_sage_reward_model
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the hdfs_rlhf_log_summary_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5838
+- Accuracy: 0.9
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1.41e-05
+- train_batch_size: 4
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.6933          | 0.6      |
+| No log        | 2.0   | 3    | 0.6923          | 0.9      |
+| No log        | 3.0   | 4    | 0.6920          | 0.9      |
+| No log        | 4.0   | 6    | 0.6912          | 0.9      |
+| No log        | 5.0   | 8    | 0.6902          | 0.9      |
+| No log        | 6.0   | 9    | 0.6898          | 0.9      |
+| 0.2745        | 7.0   | 11   | 0.6885          | 0.9      |
+| 0.2745        | 8.0   | 12   | 0.6876          | 0.9      |
+| 0.2745        | 9.0   | 13   | 0.6862          | 0.9      |
+| 0.2745        | 10.0  | 15   | 0.6830          | 0.9      |
+| 0.2745        | 11.0  | 16   | 0.6813          | 0.9      |
+| 0.2745        | 12.0  | 18   | 0.6768          | 0.8      |
+| 0.2705        | 13.0  | 20   | 0.6707          | 0.8      |
+| 0.2705        | 14.0  | 21   | 0.6665          | 0.8      |
+| 0.2705        | 15.0  | 23   | 0.6576          | 0.8      |
+| 0.2705        | 16.0  | 24   | 0.6521          | 0.8      |
+| 0.2705        | 17.0  | 25   | 0.6457          | 0.8      |
+| 0.2705        | 18.0  | 27   | 0.6334          | 0.9      |
+| 0.2705        | 19.0  | 28   | 0.6273          | 0.9      |
+| 0.2555        | 20.0  | 30   | 0.6165          | 0.9      |
+| 0.2555        | 21.0  | 32   | 0.6063          | 0.9      |
+| 0.2555        | 22.0  | 33   | 0.6017          | 0.9      |
+| 0.2555        | 23.0  | 35   | 0.5942          | 0.9      |
+| 0.2555        | 24.0  | 36   | 0.5911          | 0.9      |
+| 0.2555        | 25.0  | 37   | 0.5882          | 0.9      |
+| 0.2555        | 26.0  | 39   | 0.5846          | 0.9      |
+| 0.2245        | 27.0  | 40   | 0.5838          | 0.9      |
+
+
+### Framework versions
+
+- Transformers 4.39.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.0",
+  "vocab_size": 30522
+}

model.safetensors

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+size 267829484

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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