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--- |
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license: mit |
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base_model: emilyalsentzer/Bio_ClinicalBERT |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: CliBert-20 |
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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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# CliBert-20 |
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9825 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.9707 | 0.09 | 5 | 6.0008 | |
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| 5.9661 | 0.18 | 10 | 5.9998 | |
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| 5.9659 | 0.27 | 15 | 5.9987 | |
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| 5.9441 | 0.36 | 20 | 5.9974 | |
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| 5.9937 | 0.45 | 25 | 5.9965 | |
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| 5.9483 | 0.55 | 30 | 5.9953 | |
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| 5.9214 | 0.64 | 35 | 5.9945 | |
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| 5.9332 | 0.73 | 40 | 5.9937 | |
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| 5.9383 | 0.82 | 45 | 5.9926 | |
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| 5.9223 | 0.91 | 50 | 5.9919 | |
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| 5.9233 | 1.0 | 55 | 5.9911 | |
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| 5.8762 | 1.09 | 60 | 5.9905 | |
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| 5.8967 | 1.18 | 65 | 5.9899 | |
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| 5.9024 | 1.27 | 70 | 5.9891 | |
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| 5.9122 | 1.36 | 75 | 5.9885 | |
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| 5.902 | 1.45 | 80 | 5.9879 | |
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| 5.874 | 1.55 | 85 | 5.9872 | |
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| 5.8774 | 1.64 | 90 | 5.9867 | |
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| 5.8782 | 1.73 | 95 | 5.9862 | |
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| 5.8664 | 1.82 | 100 | 5.9857 | |
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| 5.8833 | 1.91 | 105 | 5.9852 | |
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| 5.8488 | 2.0 | 110 | 5.9848 | |
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| 5.8747 | 2.09 | 115 | 5.9843 | |
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| 5.8333 | 2.18 | 120 | 5.9840 | |
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| 5.8573 | 2.27 | 125 | 5.9837 | |
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| 5.8398 | 2.36 | 130 | 5.9834 | |
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| 5.8371 | 2.45 | 135 | 5.9832 | |
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| 5.8274 | 2.55 | 140 | 5.9831 | |
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| 5.863 | 2.64 | 145 | 5.9829 | |
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| 5.8183 | 2.73 | 150 | 5.9827 | |
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| 5.8448 | 2.82 | 155 | 5.9826 | |
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| 5.9111 | 2.91 | 160 | 5.9825 | |
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| 5.8316 | 3.0 | 165 | 5.9825 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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