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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_8_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_8_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: 1.5821 |
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- F1: 0.8265 |
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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 | 290 | 0.3933 | 0.8222 | |
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| 0.4092 | 2.0 | 580 | 0.4431 | 0.8237 | |
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| 0.4092 | 3.0 | 870 | 0.6243 | 0.8292 | |
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| 0.1845 | 4.0 | 1160 | 0.6526 | 0.8300 | |
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| 0.1845 | 5.0 | 1450 | 0.9229 | 0.8203 | |
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| 0.0671 | 6.0 | 1740 | 0.9436 | 0.8279 | |
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| 0.0303 | 7.0 | 2030 | 1.1281 | 0.8260 | |
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| 0.0303 | 8.0 | 2320 | 1.1676 | 0.8327 | |
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| 0.0105 | 9.0 | 2610 | 1.2557 | 0.8291 | |
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| 0.0105 | 10.0 | 2900 | 1.3556 | 0.8326 | |
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| 0.0102 | 11.0 | 3190 | 1.3160 | 0.8413 | |
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| 0.0102 | 12.0 | 3480 | 1.3199 | 0.8344 | |
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| 0.0068 | 13.0 | 3770 | 1.3827 | 0.8314 | |
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| 0.0049 | 14.0 | 4060 | 1.5265 | 0.8197 | |
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| 0.0049 | 15.0 | 4350 | 1.5481 | 0.8215 | |
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| 0.0069 | 16.0 | 4640 | 1.3824 | 0.8292 | |
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| 0.0069 | 17.0 | 4930 | 1.4398 | 0.8305 | |
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| 0.0073 | 18.0 | 5220 | 1.5004 | 0.8255 | |
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| 0.0033 | 19.0 | 5510 | 1.5322 | 0.8253 | |
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| 0.0033 | 20.0 | 5800 | 1.5239 | 0.8237 | |
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| 0.0025 | 21.0 | 6090 | 1.5299 | 0.8286 | |
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| 0.0025 | 22.0 | 6380 | 1.5788 | 0.8271 | |
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| 0.0005 | 23.0 | 6670 | 1.5903 | 0.8298 | |
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| 0.0005 | 24.0 | 6960 | 1.5893 | 0.8232 | |
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| 0.0026 | 25.0 | 7250 | 1.5821 | 0.8265 | |
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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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