---
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: 5.8847

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8842        | 0.09  | 5    | 5.9152          |
| 5.7961        | 0.18  | 10   | 5.9106          |
| 5.7777        | 0.27  | 15   | 5.9060          |
| 5.7638        | 0.36  | 20   | 5.9016          |
| 5.7282        | 0.45  | 25   | 5.8980          |
| 5.6804        | 0.55  | 30   | 5.8942          |
| 5.6095        | 0.64  | 35   | 5.8912          |
| 5.5418        | 0.73  | 40   | 5.8890          |
| 5.5853        | 0.82  | 45   | 5.8864          |
| 5.55          | 0.91  | 50   | 5.8844          |
| 5.5284        | 1.0   | 55   | 5.8828          |
| 5.4085        | 1.09  | 60   | 5.8818          |
| 5.368         | 1.18  | 65   | 5.8812          |
| 5.4048        | 1.27  | 70   | 5.8807          |
| 5.4172        | 1.36  | 75   | 5.8802          |
| 5.4134        | 1.45  | 80   | 5.8796          |
| 5.4728        | 1.55  | 85   | 5.8791          |
| 5.3326        | 1.64  | 90   | 5.8787          |
| 5.3464        | 1.73  | 95   | 5.8789          |
| 5.3447        | 1.82  | 100  | 5.8791          |
| 5.3264        | 1.91  | 105  | 5.8793          |
| 5.2265        | 2.0   | 110  | 5.8797          |
| 5.1223        | 2.09  | 115  | 5.8803          |
| 5.232         | 2.18  | 120  | 5.8811          |
| 5.3772        | 2.27  | 125  | 5.8815          |
| 5.2502        | 2.36  | 130  | 5.8821          |
| 5.2293        | 2.45  | 135  | 5.8825          |
| 5.1182        | 2.55  | 140  | 5.8832          |
| 5.0885        | 2.64  | 145  | 5.8839          |
| 5.157         | 2.73  | 150  | 5.8844          |
| 5.3388        | 2.82  | 155  | 5.8845          |
| 5.2609        | 2.91  | 160  | 5.8846          |
| 5.2008        | 3.0   | 165  | 5.8847          |


### Framework versions

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