Benchmark
Collection
Benchmark
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18 items
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Updated
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1
This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 791 | 0.1986 | 0.9383 |
0.1723 | 2.0 | 1582 | 0.2700 | 0.9455 |
0.0772 | 3.0 | 2373 | 0.2085 | 0.9551 |
0.0516 | 4.0 | 3164 | 0.2970 | 0.9427 |
0.0516 | 5.0 | 3955 | 0.2620 | 0.9539 |
0.0341 | 6.0 | 4746 | 0.3973 | 0.9423 |
0.0203 | 7.0 | 5537 | 0.3637 | 0.9423 |
0.0146 | 8.0 | 6328 | 0.4154 | 0.9451 |
0.007 | 9.0 | 7119 | 0.4219 | 0.9463 |
0.007 | 10.0 | 7910 | 0.4098 | 0.9447 |