---
license: mit
tags:
- generated_from_trainer
model-index:
- name: clm-model
  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. -->

# clm-model

This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

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


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3