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irfanamal
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bert_science_multiple_choice

Multiple Choice
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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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/bert_multiple_choice](https://huggingface.co/irfanamal/bert_multiple_choice) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2269
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- - Accuracy: 0.5
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-07
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -49,17 +49,19 @@ 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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- | 1.4597 | 1.0 | 12 | 1.2031 | 0.5 |
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- | 1.4484 | 2.0 | 24 | 1.2057 | 0.5 |
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- | 1.4718 | 3.0 | 36 | 1.2066 | 0.5 |
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- | 1.4246 | 4.0 | 48 | 1.2105 | 0.5 |
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- | 1.4013 | 5.0 | 60 | 1.2136 | 0.5 |
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- | 1.3983 | 6.0 | 72 | 1.2179 | 0.5 |
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- | 1.471 | 7.0 | 84 | 1.2231 | 0.5 |
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- | 1.4615 | 8.0 | 96 | 1.2285 | 0.5 |
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- | 1.4289 | 9.0 | 108 | 1.2276 | 0.5 |
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- | 1.4712 | 10.0 | 120 | 1.2255 | 0.5 |
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- | 1.3966 | 11.0 | 132 | 1.2269 | 0.5 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [irfanamal/bert_multiple_choice](https://huggingface.co/irfanamal/bert_multiple_choice) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3092
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+ - Accuracy: 0.4
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.4608 | 1.0 | 12 | 1.2885 | 0.5 |
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+ | 1.3738 | 2.0 | 24 | 1.3587 | 0.5 |
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+ | 1.3521 | 3.0 | 36 | 1.2585 | 0.45 |
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+ | 1.2274 | 4.0 | 48 | 1.2703 | 0.45 |
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+ | 1.1653 | 5.0 | 60 | 1.2730 | 0.45 |
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+ | 1.1352 | 6.0 | 72 | 1.3275 | 0.45 |
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+ | 1.1907 | 7.0 | 84 | 1.2848 | 0.45 |
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+ | 1.0782 | 8.0 | 96 | 1.2745 | 0.45 |
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+ | 1.0616 | 9.0 | 108 | 1.2995 | 0.45 |
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+ | 1.0012 | 10.0 | 120 | 1.3002 | 0.45 |
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+ | 0.9113 | 11.0 | 132 | 1.3236 | 0.4 |
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+ | 0.8489 | 12.0 | 144 | 1.3175 | 0.4 |
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+ | 0.8098 | 13.0 | 156 | 1.3092 | 0.4 |
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  ### Framework versions