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--- |
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base_model: Zamoranesis/clinical_transcripts_roberta |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: clinical_transcripts_roberta_distilled |
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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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# clinical_transcripts_roberta_distilled |
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This model is a fine-tuned version of [Zamoranesis/clinical_transcripts_roberta](https://huggingface.co/Zamoranesis/clinical_transcripts_roberta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 106.7275 |
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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: 0.0005 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 276.9792 | 0.31 | 100 | 198.7813 | |
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| 202.4796 | 0.63 | 200 | 187.2836 | |
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| 187.377 | 0.94 | 300 | 168.7091 | |
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| 171.4996 | 1.25 | 400 | 171.7099 | |
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| 162.2323 | 1.57 | 500 | 162.8250 | |
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| 165.8647 | 1.88 | 600 | 161.5869 | |
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| 151.5353 | 2.19 | 700 | 151.7282 | |
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| 145.5493 | 2.51 | 800 | 146.7330 | |
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| 148.6375 | 2.82 | 900 | 154.1694 | |
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| 143.963 | 3.13 | 1000 | 152.8062 | |
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| 141.3649 | 3.45 | 1100 | 149.8849 | |
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| 134.6703 | 3.76 | 1200 | 141.6481 | |
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| 136.8365 | 4.08 | 1300 | 142.7610 | |
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| 127.3401 | 4.39 | 1400 | 134.1384 | |
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| 128.1466 | 4.7 | 1500 | 137.5692 | |
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| 130.1291 | 5.02 | 1600 | 131.3674 | |
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| 123.2371 | 5.33 | 1700 | 133.7921 | |
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| 128.0497 | 5.64 | 1800 | 137.7079 | |
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| 121.8081 | 5.96 | 1900 | 131.1400 | |
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| 118.9764 | 6.27 | 2000 | 136.2727 | |
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| 111.3325 | 6.58 | 2100 | 125.8130 | |
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| 112.32 | 6.9 | 2200 | 122.2134 | |
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| 110.8909 | 7.21 | 2300 | 126.7264 | |
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| 113.9796 | 7.52 | 2400 | 121.6689 | |
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| 109.1709 | 7.84 | 2500 | 123.6003 | |
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| 103.981 | 8.15 | 2600 | 115.3986 | |
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| 99.9035 | 8.46 | 2700 | 118.1729 | |
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| 102.7026 | 8.78 | 2800 | 116.7197 | |
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| 102.889 | 9.09 | 2900 | 110.3246 | |
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| 97.2037 | 9.4 | 3000 | 111.4095 | |
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| 96.6495 | 9.72 | 3100 | 110.4597 | |
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| 91.2564 | 10.03 | 3200 | 114.8320 | |
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| 93.1662 | 10.34 | 3300 | 112.2192 | |
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| 94.8274 | 10.66 | 3400 | 108.9920 | |
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| 91.7985 | 10.97 | 3500 | 106.0877 | |
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| 92.6536 | 11.29 | 3600 | 101.6935 | |
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| 85.6407 | 11.6 | 3700 | 103.1658 | |
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| 88.6192 | 11.91 | 3800 | 98.9863 | |
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| 87.0916 | 12.23 | 3900 | 102.7780 | |
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| 84.1347 | 12.54 | 4000 | 106.7275 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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