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biobert-v1.1-finetuned-pubmedqa

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BATCH_SIZE=8

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LEARNING_RATE=0.003
MAX_LENGTH=512
FOLD=6

Files changed (6) hide show
  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
  3. runs/Sep13_11-36-33_1428212fe7ba/events.out.tfevents.1631534449.1428212fe7ba.82.17 +3 -0
  4. runs/Sep13_12-00-59_1428212fe7ba/1631534463.6819212/events.out.tfevents.1631534463.1428212fe7ba.82.19 +3 -0
  5. runs/Sep13_12-00-59_1428212fe7ba/events.out.tfevents.1631534463.1428212fe7ba.82.18 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -24,7 +24,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9496
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  - Accuracy: 0.56
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  ## Model description
@@ -56,16 +56,16 @@ 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 | 1.2707 | 0.56 |
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- | No log | 2.0 | 114 | 0.9925 | 0.56 |
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- | No log | 3.0 | 171 | 0.9950 | 0.32 |
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- | No log | 4.0 | 228 | 1.0098 | 0.56 |
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- | No log | 5.0 | 285 | 0.9890 | 0.56 |
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- | No log | 6.0 | 342 | 1.0391 | 0.32 |
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- | No log | 7.0 | 399 | 0.9957 | 0.56 |
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- | No log | 8.0 | 456 | 0.9582 | 0.56 |
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- | 1.1022 | 9.0 | 513 | 0.9626 | 0.56 |
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- | 1.1022 | 10.0 | 570 | 0.9496 | 0.56 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9492
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  - Accuracy: 0.56
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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 | 0.9811 | 0.56 |
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+ | No log | 2.0 | 114 | 1.0064 | 0.56 |
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+ | No log | 3.0 | 171 | 1.4102 | 0.32 |
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+ | No log | 4.0 | 228 | 0.9916 | 0.56 |
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+ | No log | 5.0 | 285 | 0.9874 | 0.56 |
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+ | No log | 6.0 | 342 | 1.0240 | 0.32 |
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+ | No log | 7.0 | 399 | 0.9913 | 0.56 |
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+ | No log | 8.0 | 456 | 0.9655 | 0.56 |
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+ | 1.1104 | 9.0 | 513 | 0.9560 | 0.56 |
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+ | 1.1104 | 10.0 | 570 | 0.9492 | 0.56 |
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  ### Framework versions
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