---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-equadorKP
  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-small-equadorKP

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0211
- Rouge1: 51.8765
- Rouge2: 37.0451
- Rougel: 51.7365
- Rougelsum: 51.7259
- Gen Len: 6.5792

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.171         | 1.0   | 6211  | 1.0792          | 50.847  | 37.011  | 50.7195 | 50.7905   | 6.4681  |
| 1.0127        | 2.0   | 12422 | 1.0760          | 51.2373 | 36.3082 | 51.0543 | 51.0786   | 6.5929  |
| 0.893         | 3.0   | 18633 | 1.0566          | 51.723  | 37.1819 | 51.5442 | 51.5984   | 6.7485  |
| 0.8944        | 4.0   | 24844 | 1.0580          | 51.1839 | 36.1186 | 50.969  | 50.9885   | 6.6299  |
| 0.8545        | 5.0   | 31055 | 1.0211          | 51.8765 | 37.0451 | 51.7365 | 51.7259   | 6.5792  |
| 0.8064        | 6.0   | 37266 | 1.0479          | 52.0241 | 37.6607 | 51.898  | 51.9317   | 6.4859  |
| 0.7433        | 7.0   | 43477 | 1.0473          | 51.9749 | 37.6617 | 51.8543 | 51.8594   | 6.4873  |
| 0.7496        | 8.0   | 49688 | 1.0570          | 52.2833 | 38.1133 | 52.1644 | 52.1668   | 6.5949  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2