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RajuEEE/RewardModel

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  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6335
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- - F1: 0.0
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- - Roc Auc: 0.5
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- - Accuracy: 0.0
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  ## Model description
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@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
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- | No log | 1.0 | 258 | 0.6335 | 0.0 | 0.5 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6265
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+ - F1: 0.0207
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+ - Roc Auc: 0.5019
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+ - Accuracy: 0.0106
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 258 | 0.6265 | 0.0207 | 0.5019 | 0.0106 |
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  ### Framework versions
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