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IrwinD
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log_sage_reward_model

Text Classification
Transformers
Safetensors
distilbert
trl
reward-trainer
Generated from Trainer
Eval Results
Model card Files
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End of training

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Files changed (5) hide show
  1. README.md +66 -46
  2. config.json +0 -1
  3. model.safetensors +1 -1
  4. tokenizer_config.json +3 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -2,12 +2,29 @@
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  license: apache-2.0
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  base_model: distilbert/distilbert-base-uncased
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  tags:
 
 
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  - generated_from_trainer
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  datasets:
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  - hdfs_rlhf_log_summary_dataset
 
 
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  model-index:
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  - name: log_sage_reward_model
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0005
 
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  ## Model description
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@@ -37,57 +55,59 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1.41e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
 
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 40
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 11 | 0.0022 |
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- | No log | 2.0 | 22 | 0.0049 |
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- | No log | 3.0 | 33 | 0.0006 |
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- | No log | 4.0 | 44 | 0.0006 |
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- | No log | 5.0 | 55 | 0.0008 |
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- | No log | 6.0 | 66 | 0.0003 |
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- | No log | 7.0 | 77 | 0.0005 |
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- | No log | 8.0 | 88 | 0.0010 |
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- | No log | 9.0 | 99 | 0.0008 |
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- | No log | 10.0 | 110 | 0.0007 |
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- | No log | 11.0 | 121 | 0.0007 |
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- | No log | 12.0 | 132 | 0.0006 |
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- | No log | 13.0 | 143 | 0.0006 |
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- | No log | 14.0 | 154 | 0.0004 |
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- | No log | 15.0 | 165 | 0.0007 |
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- | No log | 16.0 | 176 | 0.0007 |
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- | No log | 17.0 | 187 | 0.0006 |
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- | No log | 18.0 | 198 | 0.0004 |
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- | No log | 19.0 | 209 | 0.0005 |
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- | No log | 20.0 | 220 | 0.0006 |
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- | No log | 21.0 | 231 | 0.0006 |
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- | No log | 22.0 | 242 | 0.0006 |
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- | No log | 23.0 | 253 | 0.0009 |
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- | No log | 24.0 | 264 | 0.0006 |
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- | No log | 25.0 | 275 | 0.0007 |
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- | No log | 26.0 | 286 | 0.0005 |
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- | No log | 27.0 | 297 | 0.0005 |
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- | No log | 28.0 | 308 | 0.0004 |
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- | No log | 29.0 | 319 | 0.0004 |
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- | No log | 30.0 | 330 | 0.0005 |
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- | No log | 31.0 | 341 | 0.0005 |
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- | No log | 32.0 | 352 | 0.0005 |
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- | No log | 33.0 | 363 | 0.0005 |
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- | No log | 34.0 | 374 | 0.0004 |
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- | No log | 35.0 | 385 | 0.0004 |
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- | No log | 36.0 | 396 | 0.0005 |
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- | No log | 37.0 | 407 | 0.0005 |
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- | No log | 38.0 | 418 | 0.0005 |
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- | No log | 39.0 | 429 | 0.0005 |
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- | No log | 40.0 | 440 | 0.0005 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: distilbert/distilbert-base-uncased
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  tags:
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+ - trl
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+ - reward-trainer
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  - generated_from_trainer
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  datasets:
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  - hdfs_rlhf_log_summary_dataset
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: log_sage_reward_model
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: hdfs_rlhf_log_summary_dataset
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+ type: hdfs_rlhf_log_summary_dataset
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+ config: default
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+ split: None
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 1.0
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1669
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+ - Accuracy: 1.0
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1.41e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 24
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  - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 96
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 40
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 0.6950 | 0.5 |
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+ | No log | 2.0 | 2 | 0.6896 | 1.0 |
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+ | No log | 3.0 | 3 | 0.6843 | 1.0 |
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+ | No log | 4.0 | 4 | 0.6789 | 1.0 |
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+ | No log | 5.0 | 5 | 0.6735 | 1.0 |
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+ | No log | 6.0 | 6 | 0.6671 | 1.0 |
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+ | No log | 7.0 | 7 | 0.6597 | 1.0 |
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+ | No log | 8.0 | 8 | 0.6510 | 1.0 |
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+ | No log | 9.0 | 9 | 0.6403 | 1.0 |
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+ | 0.0839 | 10.0 | 10 | 0.6275 | 1.0 |
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+ | 0.0839 | 11.0 | 11 | 0.6130 | 1.0 |
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+ | 0.0839 | 12.0 | 12 | 0.5955 | 1.0 |
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+ | 0.0839 | 13.0 | 13 | 0.5747 | 1.0 |
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+ | 0.0839 | 14.0 | 14 | 0.5508 | 1.0 |
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+ | 0.0839 | 15.0 | 15 | 0.5250 | 1.0 |
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+ | 0.0839 | 16.0 | 16 | 0.4984 | 1.0 |
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+ | 0.0839 | 17.0 | 17 | 0.4698 | 1.0 |
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+ | 0.0839 | 18.0 | 18 | 0.4413 | 1.0 |
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+ | 0.0839 | 19.0 | 19 | 0.4121 | 1.0 |
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+ | 0.0658 | 20.0 | 20 | 0.3850 | 1.0 |
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+ | 0.0658 | 21.0 | 21 | 0.3604 | 1.0 |
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+ | 0.0658 | 22.0 | 22 | 0.3384 | 1.0 |
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+ | 0.0658 | 23.0 | 23 | 0.3186 | 1.0 |
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+ | 0.0658 | 24.0 | 24 | 0.2995 | 1.0 |
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+ | 0.0658 | 25.0 | 25 | 0.2823 | 1.0 |
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+ | 0.0658 | 26.0 | 26 | 0.2664 | 1.0 |
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+ | 0.0658 | 27.0 | 27 | 0.2516 | 1.0 |
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+ | 0.0658 | 28.0 | 28 | 0.2384 | 1.0 |
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+ | 0.0658 | 29.0 | 29 | 0.2260 | 1.0 |
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+ | 0.0346 | 30.0 | 30 | 0.2149 | 1.0 |
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+ | 0.0346 | 31.0 | 31 | 0.2054 | 1.0 |
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+ | 0.0346 | 32.0 | 32 | 0.1971 | 1.0 |
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+ | 0.0346 | 33.0 | 33 | 0.1898 | 1.0 |
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+ | 0.0346 | 34.0 | 34 | 0.1838 | 1.0 |
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+ | 0.0346 | 35.0 | 35 | 0.1787 | 1.0 |
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+ | 0.0346 | 36.0 | 36 | 0.1746 | 1.0 |
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+ | 0.0346 | 37.0 | 37 | 0.1714 | 1.0 |
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+ | 0.0346 | 38.0 | 38 | 0.1691 | 1.0 |
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+ | 0.0346 | 39.0 | 39 | 0.1676 | 1.0 |
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+ | 0.021 | 40.0 | 40 | 0.1669 | 1.0 |
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  ### Framework versions
config.json CHANGED
@@ -20,7 +20,6 @@
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  "n_heads": 12,
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  "n_layers": 6,
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