---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_clinical_SA
  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. -->

# t5_clinical_SA

This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/luqh/ClinicalT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4740
- Rouge1: 0.2395
- Rouge2: 0.0748
- Rougel: 0.2314
- Rougelsum: 0.2315
- Gen Len: 10.3363

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.1954        | 1.0   | 527  | 0.5438          | 0.0035 | 0.0    | 0.0035 | 0.0035    | 0.1504  |
| 0.5373        | 2.0   | 1054 | 0.5078          | 0.1198 | 0.0337 | 0.1153 | 0.1155    | 11.0796 |
| 0.5116        | 3.0   | 1581 | 0.4901          | 0.1741 | 0.0618 | 0.1682 | 0.1709    | 11.6549 |
| 0.4576        | 4.0   | 2108 | 0.4798          | 0.1725 | 0.0576 | 0.1698 | 0.1728    | 12.1416 |
| 0.4626        | 5.0   | 2635 | 0.4758          | 0.2184 | 0.0723 | 0.2133 | 0.215     | 10.4867 |
| 0.435         | 6.0   | 3162 | 0.4765          | 0.2343 | 0.0796 | 0.2234 | 0.2245    | 10.6195 |
| 0.4018        | 7.0   | 3689 | 0.4746          | 0.2281 | 0.0765 | 0.2199 | 0.2206    | 10.0442 |
| 0.4046        | 8.0   | 4216 | 0.4711          | 0.2452 | 0.0769 | 0.2317 | 0.2329    | 11.0531 |
| 0.4128        | 9.0   | 4743 | 0.4726          | 0.2358 | 0.0712 | 0.2269 | 0.2276    | 10.6106 |
| 0.3885        | 10.0  | 5270 | 0.4734          | 0.2362 | 0.0719 | 0.2281 | 0.2284    | 10.5664 |
| 0.4003        | 11.0  | 5797 | 0.4738          | 0.243  | 0.08   | 0.235  | 0.2351    | 10.2655 |
| 0.362         | 12.0  | 6324 | 0.4740          | 0.2395 | 0.0748 | 0.2314 | 0.2315    | 10.3363 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2