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RewardModelSmallerQuestionWithTwoLabelsLengthJustified

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RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified

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Files changed (5) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Nov17_11-15-39_fe206794d655/events.out.tfevents.1700219753.fe206794d655.177.0 +3 -0
  4. runs/Nov17_11-15-39_fe206794d655/events.out.tfevents.1700220374.fe206794d655.177.1 +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 [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: 0.7207
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- - F1: 0.7204
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- - Roc Auc: 0.7204
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- - Accuracy: 0.7204
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  ## Model description
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@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.7015 | 1.0 | 178 | 0.6515 | 0.6390 | 0.6429 | 0.6140 |
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- | 0.6492 | 2.0 | 356 | 0.5876 | 0.6962 | 0.6976 | 0.6839 |
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- | 0.468 | 3.0 | 534 | 0.6188 | 0.6960 | 0.6960 | 0.6960 |
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- | 0.2922 | 4.0 | 712 | 0.7207 | 0.7204 | 0.7204 | 0.7204 |
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- | 0.1728 | 5.0 | 890 | 0.9053 | 0.7143 | 0.7143 | 0.7143 |
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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: 0.5852
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+ - F1: 0.6898
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+ - Roc Auc: 0.6909
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+ - Accuracy: 0.6836
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.6905 | 1.0 | 145 | 0.6891 | 0.5293 | 0.5764 | 0.4727 |
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+ | 0.6889 | 2.0 | 290 | 0.6676 | 0.5502 | 0.5600 | 0.5382 |
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+ | 0.6488 | 3.0 | 435 | 0.6286 | 0.6410 | 0.6436 | 0.6364 |
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+ | 0.57 | 4.0 | 580 | 0.5852 | 0.6898 | 0.6909 | 0.6836 |
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+ | 0.3953 | 5.0 | 725 | 0.6550 | 0.6679 | 0.6691 | 0.6655 |
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  ### Framework versions
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