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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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model-index: |
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- name: clm-model |
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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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# clm-model |
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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: 0.0000 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 38 | 0.0088 | |
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| No log | 2.0 | 76 | 0.0007 | |
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| No log | 3.0 | 114 | 0.0003 | |
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| No log | 4.0 | 152 | 0.0013 | |
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| No log | 5.0 | 190 | 0.0000 | |
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| No log | 6.0 | 228 | 0.0002 | |
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| No log | 7.0 | 266 | 0.0100 | |
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| No log | 8.0 | 304 | 0.0000 | |
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| No log | 9.0 | 342 | 0.0000 | |
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| No log | 10.0 | 380 | 0.0000 | |
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| No log | 11.0 | 418 | 0.0000 | |
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| No log | 12.0 | 456 | 0.0000 | |
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| No log | 13.0 | 494 | 0.0000 | |
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| 0.0057 | 14.0 | 532 | 0.0007 | |
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| 0.0057 | 15.0 | 570 | 0.0000 | |
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| 0.0057 | 16.0 | 608 | 0.0000 | |
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| 0.0057 | 17.0 | 646 | 0.0000 | |
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| 0.0057 | 18.0 | 684 | 0.0000 | |
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| 0.0057 | 19.0 | 722 | 0.0000 | |
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| 0.0057 | 20.0 | 760 | 0.0000 | |
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| 0.0057 | 21.0 | 798 | 0.0000 | |
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| 0.0057 | 22.0 | 836 | 0.0000 | |
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| 0.0057 | 23.0 | 874 | 0.0000 | |
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| 0.0057 | 24.0 | 912 | 0.0000 | |
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| 0.0057 | 25.0 | 950 | 0.0000 | |
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| 0.0057 | 26.0 | 988 | 0.0000 | |
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| 0.0018 | 27.0 | 1026 | 0.0000 | |
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| 0.0018 | 28.0 | 1064 | 0.0000 | |
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| 0.0018 | 29.0 | 1102 | 0.0000 | |
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| 0.0018 | 30.0 | 1140 | 0.0000 | |
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| 0.0018 | 31.0 | 1178 | 0.0000 | |
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| 0.0018 | 32.0 | 1216 | 0.0000 | |
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| 0.0018 | 33.0 | 1254 | 0.0000 | |
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| 0.0018 | 34.0 | 1292 | 0.0000 | |
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| 0.0018 | 35.0 | 1330 | 0.0000 | |
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| 0.0018 | 36.0 | 1368 | 0.0000 | |
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| 0.0018 | 37.0 | 1406 | 0.0000 | |
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| 0.0018 | 38.0 | 1444 | 0.0000 | |
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| 0.0018 | 39.0 | 1482 | 0.0000 | |
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| 0.0005 | 40.0 | 1520 | 0.0000 | |
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| 0.0005 | 41.0 | 1558 | 0.0000 | |
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| 0.0005 | 42.0 | 1596 | 0.0000 | |
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| 0.0005 | 43.0 | 1634 | 0.0000 | |
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| 0.0005 | 44.0 | 1672 | 0.0000 | |
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| 0.0005 | 45.0 | 1710 | 0.0000 | |
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| 0.0005 | 46.0 | 1748 | 0.0000 | |
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| 0.0005 | 47.0 | 1786 | 0.0000 | |
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| 0.0005 | 48.0 | 1824 | 0.0000 | |
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| 0.0005 | 49.0 | 1862 | 0.0000 | |
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| 0.0005 | 50.0 | 1900 | 0.0000 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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