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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: Bio_ClinicalBERT_fold_7_binary_v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Bio_ClinicalBERT_fold_7_binary_v1 |
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6855 |
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- F1: 0.8169 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 288 | 0.4412 | 0.7939 | |
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| 0.4021 | 2.0 | 576 | 0.4104 | 0.8116 | |
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| 0.4021 | 3.0 | 864 | 0.6152 | 0.8059 | |
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| 0.1893 | 4.0 | 1152 | 0.8887 | 0.8135 | |
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| 0.1893 | 5.0 | 1440 | 1.0395 | 0.7930 | |
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| 0.08 | 6.0 | 1728 | 1.1491 | 0.7992 | |
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| 0.0296 | 7.0 | 2016 | 1.2957 | 0.8028 | |
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| 0.0296 | 8.0 | 2304 | 1.3748 | 0.8067 | |
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| 0.0168 | 9.0 | 2592 | 1.3284 | 0.8077 | |
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| 0.0168 | 10.0 | 2880 | 1.3705 | 0.8100 | |
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| 0.0151 | 11.0 | 3168 | 1.4993 | 0.8015 | |
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| 0.0151 | 12.0 | 3456 | 1.4156 | 0.8152 | |
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| 0.0072 | 13.0 | 3744 | 1.4199 | 0.8108 | |
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| 0.0105 | 14.0 | 4032 | 1.4797 | 0.8086 | |
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| 0.0105 | 15.0 | 4320 | 1.4374 | 0.8244 | |
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| 0.0101 | 16.0 | 4608 | 1.5125 | 0.8142 | |
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| 0.0101 | 17.0 | 4896 | 1.5709 | 0.8131 | |
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| 0.0105 | 18.0 | 5184 | 1.6013 | 0.8146 | |
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| 0.0105 | 19.0 | 5472 | 1.5923 | 0.8150 | |
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| 0.0039 | 20.0 | 5760 | 1.6233 | 0.8179 | |
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| 0.0009 | 21.0 | 6048 | 1.5644 | 0.8203 | |
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| 0.0009 | 22.0 | 6336 | 1.6229 | 0.8218 | |
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| 0.001 | 23.0 | 6624 | 1.6706 | 0.8157 | |
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| 0.001 | 24.0 | 6912 | 1.6754 | 0.8166 | |
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| 0.0013 | 25.0 | 7200 | 1.6855 | 0.8169 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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