---
license: apache-2.0
tags:
- simplification
- generated_from_trainer
metrics:
- rouge
- sari
model-index:
- name: flan-t5-large-clara-med
  results: []
datasets:
- lcampillos/CLARA-MeD
language:
- es
---

<!-- 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. -->

# flan-t5-large-clara-med

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the [CLARA-MeD](https://huggingface.co/lcampillos/CLARA-MeD) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0898
- Rouge1: 28.9888
- Rouge2: 16.3801
- Rougel: 27.4186
- Rougelsum: 27.4043
- sari: 39.1731

## 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: 5.6e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 380  | 1.1948          | 28.2861 | 15.6461 | 26.7126 | 26.7389   |
| No log        | 2.0   | 760  | 1.1361          | 28.3528 | 15.8519 | 26.8151 | 26.8069   |
| 1.3561        | 3.0   | 1140 | 1.1051          | 29.6216 | 16.8227 | 28.0662 | 28.0613   |
| 1.3561        | 4.0   | 1520 | 1.0915          | 29.3603 | 16.5008 | 27.7915 | 27.7761   |
| 1.0939        | 5.0   | 1900 | 1.0898          | 28.9888 | 16.3801 | 27.4186 | 27.4043   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1