---
license: apache-2.0
base_model: LinhCT/mt5-small-finetuned-amazon-en-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es-finetuned-amazon-en-es
  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. -->

# mt5-small-finetuned-amazon-en-es-finetuned-amazon-en-es

This model is a fine-tuned version of [LinhCT/mt5-small-finetuned-amazon-en-es](https://huggingface.co/LinhCT/mt5-small-finetuned-amazon-en-es) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4243
- Rouge1: 28.2282
- Rouge2: 13.0079
- Rougel: 27.8476
- Rougelsum: 27.9373

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 5.1931        | 1.0   | 1152 | 3.7893          | 19.9416 | 8.7882  | 19.7175 | 19.6944   |
| 4.2391        | 2.0   | 2304 | 3.6033          | 24.7762 | 11.4627 | 24.5132 | 24.5349   |
| 3.9401        | 3.0   | 3456 | 3.5088          | 25.618  | 11.8757 | 25.316  | 25.3784   |
| 3.7617        | 4.0   | 4608 | 3.4602          | 26.2721 | 11.8065 | 25.9693 | 26.0518   |
| 3.6381        | 5.0   | 5760 | 3.4439          | 27.3459 | 12.668  | 26.9862 | 27.0528   |
| 3.548         | 6.0   | 6912 | 3.4317          | 27.751  | 12.7711 | 27.3445 | 27.3912   |
| 3.4956        | 7.0   | 8064 | 3.4343          | 28.7685 | 13.1835 | 28.3702 | 28.4383   |
| 3.4589        | 8.0   | 9216 | 3.4243          | 28.2282 | 13.0079 | 27.8476 | 27.9373   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1