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BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa-1

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BATCH_SIZE=8

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LEARNING_RATE=1e-05
MAX_LENGTH=512
FOLD=8

Files changed (6) hide show
  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
  3. runs/Sep15_07-28-26_6f87b01ed96f/events.out.tfevents.1631691951.6f87b01ed96f.89.23 +3 -0
  4. runs/Sep15_07-46-00_6f87b01ed96f/1631691966.6752326/events.out.tfevents.1631691966.6f87b01ed96f.89.25 +3 -0
  5. runs/Sep15_07-46-00_6f87b01ed96f/events.out.tfevents.1631691966.6f87b01ed96f.89.24 +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: 1.1149
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  - Accuracy: 0.6
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  ## Model description
@@ -57,16 +57,16 @@ 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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- | No log | 1.0 | 57 | 0.9496 | 0.54 |
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- | No log | 2.0 | 114 | 0.9724 | 0.54 |
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- | No log | 3.0 | 171 | 0.9595 | 0.58 |
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- | No log | 4.0 | 228 | 1.0139 | 0.52 |
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- | No log | 5.0 | 285 | 1.0160 | 0.56 |
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- | No log | 6.0 | 342 | 0.9888 | 0.6 |
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- | No log | 7.0 | 399 | 1.0555 | 0.6 |
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- | No log | 8.0 | 456 | 1.0876 | 0.58 |
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- | 0.6329 | 9.0 | 513 | 1.0984 | 0.6 |
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- | 0.6329 | 10.0 | 570 | 1.1149 | 0.6 |
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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: 1.0467
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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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+ | No log | 1.0 | 57 | 0.9542 | 0.54 |
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+ | No log | 2.0 | 114 | 0.9610 | 0.54 |
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+ | No log | 3.0 | 171 | 0.9574 | 0.56 |
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+ | No log | 4.0 | 228 | 0.9761 | 0.5 |
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+ | No log | 5.0 | 285 | 0.9585 | 0.64 |
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+ | No log | 6.0 | 342 | 0.9418 | 0.64 |
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+ | No log | 7.0 | 399 | 0.9941 | 0.64 |
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+ | No log | 8.0 | 456 | 1.0317 | 0.62 |
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+ | 0.6491 | 9.0 | 513 | 1.0513 | 0.6 |
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+ | 0.6491 | 10.0 | 570 | 1.0467 | 0.6 |
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  ### Framework versions
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