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---
base_model: Zamoranesis/clinical_transcripts_roberta
tags:
- generated_from_trainer
model-index:
- name: clinical_transcripts_roberta_distilled
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# clinical_transcripts_roberta_distilled
This model is a fine-tuned version of [Zamoranesis/clinical_transcripts_roberta](https://huggingface.co/Zamoranesis/clinical_transcripts_roberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 106.7275
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 276.9792 | 0.31 | 100 | 198.7813 |
| 202.4796 | 0.63 | 200 | 187.2836 |
| 187.377 | 0.94 | 300 | 168.7091 |
| 171.4996 | 1.25 | 400 | 171.7099 |
| 162.2323 | 1.57 | 500 | 162.8250 |
| 165.8647 | 1.88 | 600 | 161.5869 |
| 151.5353 | 2.19 | 700 | 151.7282 |
| 145.5493 | 2.51 | 800 | 146.7330 |
| 148.6375 | 2.82 | 900 | 154.1694 |
| 143.963 | 3.13 | 1000 | 152.8062 |
| 141.3649 | 3.45 | 1100 | 149.8849 |
| 134.6703 | 3.76 | 1200 | 141.6481 |
| 136.8365 | 4.08 | 1300 | 142.7610 |
| 127.3401 | 4.39 | 1400 | 134.1384 |
| 128.1466 | 4.7 | 1500 | 137.5692 |
| 130.1291 | 5.02 | 1600 | 131.3674 |
| 123.2371 | 5.33 | 1700 | 133.7921 |
| 128.0497 | 5.64 | 1800 | 137.7079 |
| 121.8081 | 5.96 | 1900 | 131.1400 |
| 118.9764 | 6.27 | 2000 | 136.2727 |
| 111.3325 | 6.58 | 2100 | 125.8130 |
| 112.32 | 6.9 | 2200 | 122.2134 |
| 110.8909 | 7.21 | 2300 | 126.7264 |
| 113.9796 | 7.52 | 2400 | 121.6689 |
| 109.1709 | 7.84 | 2500 | 123.6003 |
| 103.981 | 8.15 | 2600 | 115.3986 |
| 99.9035 | 8.46 | 2700 | 118.1729 |
| 102.7026 | 8.78 | 2800 | 116.7197 |
| 102.889 | 9.09 | 2900 | 110.3246 |
| 97.2037 | 9.4 | 3000 | 111.4095 |
| 96.6495 | 9.72 | 3100 | 110.4597 |
| 91.2564 | 10.03 | 3200 | 114.8320 |
| 93.1662 | 10.34 | 3300 | 112.2192 |
| 94.8274 | 10.66 | 3400 | 108.9920 |
| 91.7985 | 10.97 | 3500 | 106.0877 |
| 92.6536 | 11.29 | 3600 | 101.6935 |
| 85.6407 | 11.6 | 3700 | 103.1658 |
| 88.6192 | 11.91 | 3800 | 98.9863 |
| 87.0916 | 12.23 | 3900 | 102.7780 |
| 84.1347 | 12.54 | 4000 | 106.7275 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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