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jon-t
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bio-mqa

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jon-t/bio-mqa

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  1. README.md +7 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3863
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- - Accuracy: 0.2451
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  ## Model description
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@@ -38,23 +38,21 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 1.3898 | 1.0 | 18387 | 1.3863 | 0.2508 |
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- | 1.3894 | 2.0 | 36774 | 1.3863 | 0.2453 |
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- | 1.3907 | 3.0 | 55161 | 1.3863 | 0.2480 |
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- | 1.3882 | 4.0 | 73548 | 1.3863 | 0.2487 |
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- | 1.3876 | 5.0 | 91935 | 1.3863 | 0.2451 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1830
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+ - Accuracy: 0.6185
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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: 1e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.0695 | 1.0 | 18387 | 0.9820 | 0.5833 |
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+ | 0.8957 | 2.0 | 36774 | 0.9734 | 0.6154 |
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+ | 0.7079 | 3.0 | 55161 | 1.1830 | 0.6185 |
 
 
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  ### Framework versions
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