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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
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  1. README.md +28 -30
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9
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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
@@ -34,8 +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: 0.5838
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- - Accuracy: 0.9
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  ## Model description
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@@ -68,33 +68,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6933 | 0.6 |
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- | No log | 2.0 | 3 | 0.6923 | 0.9 |
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- | No log | 3.0 | 4 | 0.6920 | 0.9 |
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- | No log | 4.0 | 6 | 0.6912 | 0.9 |
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- | No log | 5.0 | 8 | 0.6902 | 0.9 |
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- | No log | 6.0 | 9 | 0.6898 | 0.9 |
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- | 0.2745 | 7.0 | 11 | 0.6885 | 0.9 |
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- | 0.2745 | 8.0 | 12 | 0.6876 | 0.9 |
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- | 0.2745 | 9.0 | 13 | 0.6862 | 0.9 |
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- | 0.2745 | 10.0 | 15 | 0.6830 | 0.9 |
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- | 0.2745 | 11.0 | 16 | 0.6813 | 0.9 |
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- | 0.2745 | 12.0 | 18 | 0.6768 | 0.8 |
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- | 0.2705 | 13.0 | 20 | 0.6707 | 0.8 |
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- | 0.2705 | 14.0 | 21 | 0.6665 | 0.8 |
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- | 0.2705 | 15.0 | 23 | 0.6576 | 0.8 |
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- | 0.2705 | 16.0 | 24 | 0.6521 | 0.8 |
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- | 0.2705 | 17.0 | 25 | 0.6457 | 0.8 |
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- | 0.2705 | 18.0 | 27 | 0.6334 | 0.9 |
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- | 0.2705 | 19.0 | 28 | 0.6273 | 0.9 |
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- | 0.2555 | 20.0 | 30 | 0.6165 | 0.9 |
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- | 0.2555 | 21.0 | 32 | 0.6063 | 0.9 |
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- | 0.2555 | 22.0 | 33 | 0.6017 | 0.9 |
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- | 0.2555 | 23.0 | 35 | 0.5942 | 0.9 |
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- | 0.2555 | 24.0 | 36 | 0.5911 | 0.9 |
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- | 0.2555 | 25.0 | 37 | 0.5882 | 0.9 |
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- | 0.2555 | 26.0 | 39 | 0.5846 | 0.9 |
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- | 0.2245 | 27.0 | 40 | 0.5838 | 0.9 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8
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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: 0.7472
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+ - Accuracy: 0.8
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 0.6909 | 1.0 |
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+ | No log | 2.0 | 3 | 0.6899 | 0.8 |
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+ | No log | 3.0 | 5 | 0.6896 | 0.8 |
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+ | No log | 4.0 | 6 | 0.6889 | 0.8 |
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+ | No log | 5.0 | 8 | 0.6890 | 0.8 |
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+ | 0.2839 | 6.0 | 10 | 0.6912 | 0.8 |
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+ | 0.2839 | 7.0 | 11 | 0.6931 | 0.8 |
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+ | 0.2839 | 8.0 | 13 | 0.6982 | 0.8 |
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+ | 0.2839 | 9.0 | 15 | 0.7055 | 0.8 |
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+ | 0.2839 | 10.0 | 16 | 0.7098 | 0.8 |
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+ | 0.2839 | 11.0 | 18 | 0.7184 | 0.8 |
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+ | 0.259 | 12.0 | 20 | 0.7245 | 0.8 |
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+ | 0.259 | 13.0 | 21 | 0.7259 | 0.8 |
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+ | 0.259 | 14.0 | 23 | 0.7268 | 0.8 |
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+ | 0.259 | 15.0 | 25 | 0.7285 | 0.8 |
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+ | 0.259 | 16.0 | 26 | 0.7294 | 0.8 |
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+ | 0.259 | 17.0 | 27 | 0.7304 | 0.8 |
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+ | 0.259 | 18.0 | 29 | 0.7333 | 0.8 |
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+ | 0.2339 | 19.0 | 31 | 0.7356 | 0.8 |
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+ | 0.2339 | 20.0 | 32 | 0.7373 | 0.8 |
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+ | 0.2339 | 21.0 | 34 | 0.7414 | 0.8 |
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+ | 0.2339 | 22.0 | 36 | 0.7442 | 0.8 |
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+ | 0.2339 | 23.0 | 37 | 0.7454 | 0.8 |
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+ | 0.2339 | 24.0 | 39 | 0.7469 | 0.8 |
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+ | 0.1594 | 24.73 | 40 | 0.7472 | 0.8 |
 
 
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  ### Framework versions
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