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RewardModelSmallerQuestionWithTwoLabelsLengthJustified

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RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified

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  1. README.md +7 -6
  2. model.safetensors +1 -1
  3. runs/Nov18_16-55-48_536c599ea485/events.out.tfevents.1700326566.536c599ea485.983.0 +3 -0
  4. runs/Nov18_16-55-48_536c599ea485/events.out.tfevents.1700326909.536c599ea485.983.1 +3 -0
  5. 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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5610
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- - F1: 0.7135
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- - Roc Auc: 0.7135
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- - Accuracy: 0.7080
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  ## Model description
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@@ -46,13 +46,14 @@ The following hyperparameters were used during training:
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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: 1
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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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- | 0.6014 | 1.0 | 200 | 0.5610 | 0.7135 | 0.7135 | 0.7080 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5225
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+ - F1: 0.7620
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+ - Roc Auc: 0.7617
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+ - Accuracy: 0.7603
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  ## Model description
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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: 2
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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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+ | 0.628 | 1.0 | 200 | 0.5919 | 0.6869 | 0.6873 | 0.6860 |
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+ | 0.5205 | 2.0 | 400 | 0.5225 | 0.7620 | 0.7617 | 0.7603 |
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  ### Framework versions
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