---
license: mit
base_model: emilyalsentzer/Bio_ClinicalBERT
tags:
- generated_from_trainer
model-index:
- name: CliBert-20
  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. -->

# CliBert-20

This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9825

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.9707        | 0.09  | 5    | 6.0008          |
| 5.9661        | 0.18  | 10   | 5.9998          |
| 5.9659        | 0.27  | 15   | 5.9987          |
| 5.9441        | 0.36  | 20   | 5.9974          |
| 5.9937        | 0.45  | 25   | 5.9965          |
| 5.9483        | 0.55  | 30   | 5.9953          |
| 5.9214        | 0.64  | 35   | 5.9945          |
| 5.9332        | 0.73  | 40   | 5.9937          |
| 5.9383        | 0.82  | 45   | 5.9926          |
| 5.9223        | 0.91  | 50   | 5.9919          |
| 5.9233        | 1.0   | 55   | 5.9911          |
| 5.8762        | 1.09  | 60   | 5.9905          |
| 5.8967        | 1.18  | 65   | 5.9899          |
| 5.9024        | 1.27  | 70   | 5.9891          |
| 5.9122        | 1.36  | 75   | 5.9885          |
| 5.902         | 1.45  | 80   | 5.9879          |
| 5.874         | 1.55  | 85   | 5.9872          |
| 5.8774        | 1.64  | 90   | 5.9867          |
| 5.8782        | 1.73  | 95   | 5.9862          |
| 5.8664        | 1.82  | 100  | 5.9857          |
| 5.8833        | 1.91  | 105  | 5.9852          |
| 5.8488        | 2.0   | 110  | 5.9848          |
| 5.8747        | 2.09  | 115  | 5.9843          |
| 5.8333        | 2.18  | 120  | 5.9840          |
| 5.8573        | 2.27  | 125  | 5.9837          |
| 5.8398        | 2.36  | 130  | 5.9834          |
| 5.8371        | 2.45  | 135  | 5.9832          |
| 5.8274        | 2.55  | 140  | 5.9831          |
| 5.863         | 2.64  | 145  | 5.9829          |
| 5.8183        | 2.73  | 150  | 5.9827          |
| 5.8448        | 2.82  | 155  | 5.9826          |
| 5.9111        | 2.91  | 160  | 5.9825          |
| 5.8316        | 3.0   | 165  | 5.9825          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1