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irfanamal
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distilbert_science_multiple_choice

Multiple Choice
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
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update model card README.md

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5628
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- - Accuracy: 0.4
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  ## Model description
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@@ -49,19 +49,17 @@ 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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- | 1.4753 | 1.0 | 12 | 1.4752 | 0.4 |
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- | 1.3861 | 2.0 | 24 | 1.4672 | 0.4 |
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- | 1.3169 | 3.0 | 36 | 1.4031 | 0.45 |
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- | 1.2006 | 4.0 | 48 | 1.4479 | 0.4 |
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- | 1.1849 | 5.0 | 60 | 1.4765 | 0.4 |
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- | 1.1181 | 6.0 | 72 | 1.4869 | 0.4 |
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- | 1.0861 | 7.0 | 84 | 1.4524 | 0.4 |
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- | 1.0234 | 8.0 | 96 | 1.5183 | 0.35 |
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- | 0.9677 | 9.0 | 108 | 1.4981 | 0.35 |
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- | 0.9281 | 10.0 | 120 | 1.5195 | 0.4 |
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- | 0.919 | 11.0 | 132 | 1.5218 | 0.4 |
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- | 0.8673 | 12.0 | 144 | 1.5395 | 0.4 |
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- | 0.8 | 13.0 | 156 | 1.5628 | 0.4 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1067
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+ - Accuracy: 0.6
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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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+ | 1.2754 | 1.0 | 12 | 1.1916 | 0.55 |
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+ | 1.142 | 2.0 | 24 | 1.1608 | 0.55 |
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+ | 1.0688 | 3.0 | 36 | 1.1239 | 0.55 |
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+ | 0.9401 | 4.0 | 48 | 1.1163 | 0.55 |
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+ | 0.9029 | 5.0 | 60 | 1.1077 | 0.6 |
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+ | 0.7597 | 6.0 | 72 | 1.0713 | 0.6 |
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+ | 0.7811 | 7.0 | 84 | 1.0723 | 0.6 |
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+ | 0.7215 | 8.0 | 96 | 1.1225 | 0.6 |
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+ | 0.6318 | 9.0 | 108 | 1.1065 | 0.6 |
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+ | 0.6308 | 10.0 | 120 | 1.0958 | 0.6 |
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+ | 0.6369 | 11.0 | 132 | 1.1067 | 0.6 |
 
 
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  ### Framework versions