---
license: apache-2.0
base_model: distilroberta-base
tags:
- medical transcriptions
- healthcare
model-index:
- name: clinical_transcripts_roberta_distilled
  results: []

widget:
- text: "General endotracheal <mask> was induced without incident. Preoperative antibiotics were given for prophylaxis against surgical infection."
---


## clinical_transcripts_roberta_distilled

This model is a distilled version of [Zamoranesis/clinical_transcripts_roberta](https://huggingface.co./Zamoranesis/clinical_transcripts_roberta).

## 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