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BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa-2

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BATCH_SIZE=8

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LEARNING_RATE=0.003
MAX_LENGTH=512
FOLD=0

Files changed (6) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. runs/Sep17_08-59-45_a2cdb2b6c766/events.out.tfevents.1631869756.a2cdb2b6c766.92.2 +3 -0
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  5. runs/Sep17_09-56-05_a2cdb2b6c766/events.out.tfevents.1631872569.a2cdb2b6c766.92.3 +3 -0
  6. training_args.bin +1 -1
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: 0.9957
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  - Accuracy: 0.54
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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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- | No log | 1.0 | 57 | 1.3151 | 0.54 |
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- | No log | 2.0 | 114 | 0.9564 | 0.54 |
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- | No log | 3.0 | 171 | 0.9836 | 0.54 |
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- | No log | 4.0 | 228 | 1.0456 | 0.54 |
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- | No log | 5.0 | 285 | 0.9957 | 0.54 |
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  ### Framework versions
 
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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: 1.0007
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  - Accuracy: 0.54
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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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+ | No log | 1.0 | 57 | 1.1447 | 0.54 |
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+ | No log | 2.0 | 114 | 1.0048 | 0.34 |
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+ | No log | 3.0 | 171 | 0.9655 | 0.54 |
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+ | No log | 4.0 | 228 | 1.0414 | 0.54 |
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+ | No log | 5.0 | 285 | 1.0007 | 0.54 |
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  ### Framework versions
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