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BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa

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LEARNING_RATE=1e-05
MAX_LENGTH=512
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Files changed (5) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. runs/Sep13_22-34-33_7c61ed7a38f2/1631572669.982941/events.out.tfevents.1631572669.7c61ed7a38f2.89.1 +3 -0
  4. runs/Sep13_22-34-33_7c61ed7a38f2/events.out.tfevents.1631572669.7c61ed7a38f2.89.0 +3 -0
  5. training_args.bin +2 -2
README.md CHANGED
@@ -25,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5110
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  - Accuracy: 0.7
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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-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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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- | No log | 1.0 | 57 | 0.8402 | 0.58 |
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- | No log | 2.0 | 114 | 0.7937 | 0.6 |
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- | No log | 3.0 | 171 | 0.8682 | 0.62 |
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- | No log | 4.0 | 228 | 0.8930 | 0.64 |
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- | No log | 5.0 | 285 | 1.4703 | 0.68 |
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- | No log | 6.0 | 342 | 1.4524 | 0.66 |
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- | No log | 7.0 | 399 | 1.7603 | 0.7 |
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- | No log | 8.0 | 456 | 1.6109 | 0.68 |
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- | 0.4346 | 9.0 | 513 | 1.4578 | 0.68 |
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- | 0.4346 | 10.0 | 570 | 1.5110 | 0.7 |
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  ### Framework versions
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  - Transformers 4.10.2
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  - Pytorch 1.9.0+cu102
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- - Datasets 1.11.0
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  - Tokenizers 0.10.3
 
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  This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9821
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  - Accuracy: 0.7
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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: 8
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  - eval_batch_size: 8
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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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+ | No log | 1.0 | 57 | 0.9446 | 0.56 |
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+ | No log | 2.0 | 114 | 0.9137 | 0.62 |
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+ | No log | 3.0 | 171 | 0.8600 | 0.64 |
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+ | No log | 4.0 | 228 | 0.9188 | 0.64 |
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+ | No log | 5.0 | 285 | 0.9344 | 0.66 |
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+ | No log | 6.0 | 342 | 0.9054 | 0.68 |
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+ | No log | 7.0 | 399 | 0.9405 | 0.66 |
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+ | No log | 8.0 | 456 | 0.9729 | 0.68 |
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+ | 0.5861 | 9.0 | 513 | 0.9837 | 0.7 |
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+ | 0.5861 | 10.0 | 570 | 0.9821 | 0.7 |
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  ### Framework versions
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  - Transformers 4.10.2
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  - Pytorch 1.9.0+cu102
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+ - Datasets 1.12.0
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  - Tokenizers 0.10.3
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