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biobert-v1.1-text-classifier

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biobert-v1.1-text-classifier

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Feb16_10-18-57_1840cdbf14a3/events.out.tfevents.1708078738.1840cdbf14a3.743.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ 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: 0.2774
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- - Precision: 0.9107
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- - Recall: 0.9072
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- - Accuracy: 0.9072
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- - F1: 0.9074
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  ## Model description
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@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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- | No log | 1.0 | 154 | 0.3601 | 0.8662 | 0.8636 | 0.8633 | 0.8642 |
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- | No log | 2.0 | 308 | 0.3202 | 0.8942 | 0.8815 | 0.8820 | 0.8827 |
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- | No log | 3.0 | 462 | 0.2774 | 0.9107 | 0.9072 | 0.9072 | 0.9074 |
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- | 0.3692 | 4.0 | 616 | 0.3064 | 0.9052 | 0.9015 | 0.9015 | 0.9017 |
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- | 0.3692 | 5.0 | 770 | 0.3062 | 0.9119 | 0.9097 | 0.9097 | 0.9098 |
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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: 0.2797
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+ - Precision: 0.9203
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+ - Recall: 0.9206
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+ - Accuracy: 0.9203
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+ - F1: 0.9204
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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+ | No log | 1.0 | 154 | 0.3413 | 0.8822 | 0.8813 | 0.8804 | 0.8808 |
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+ | No log | 2.0 | 308 | 0.2918 | 0.8945 | 0.8836 | 0.8845 | 0.8848 |
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+ | No log | 3.0 | 462 | 0.2669 | 0.9098 | 0.9091 | 0.9089 | 0.9089 |
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+ | 0.3597 | 4.0 | 616 | 0.2781 | 0.9175 | 0.9174 | 0.9170 | 0.9170 |
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+ | 0.3597 | 5.0 | 770 | 0.2797 | 0.9203 | 0.9206 | 0.9203 | 0.9204 |
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  ### Framework versions
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