---
license: apache-2.0
base_model: huggingface-course/mt5-finetuned-amazon-en-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_fine_tuned_t5_small_model
  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. -->

# my_fine_tuned_t5_small_model

This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1069
- Rouge1: 26.742
- Rouge2: 7.9622
- Rougel: 20.4423
- Rougelsum: 20.7426

## 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: 0.001
- 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
- lr_scheduler_warmup_steps: 3000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.428         | 1.0   | 13   | 2.8216          | 19.1382 | 5.389  | 15.1855 | 15.1893   |
| 4.299         | 2.0   | 26   | 2.6894          | 19.6236 | 5.4931 | 15.4001 | 15.5122   |
| 4.0999        | 3.0   | 39   | 2.5552          | 22.2435 | 6.6021 | 17.2465 | 17.4679   |
| 3.8541        | 4.0   | 52   | 2.4394          | 23.3478 | 7.1578 | 18.4112 | 18.6265   |
| 3.6964        | 5.0   | 65   | 2.3568          | 25.092  | 7.4595 | 19.3078 | 19.5198   |
| 3.5481        | 6.0   | 78   | 2.3018          | 26.0743 | 8.0058 | 19.9644 | 20.2044   |
| 3.2977        | 7.0   | 91   | 2.2207          | 26.8852 | 7.9185 | 20.5406 | 20.7554   |
| 3.2768        | 8.0   | 104  | 2.1832          | 26.3885 | 7.9643 | 20.3863 | 20.6338   |
| 3.2047        | 9.0   | 117  | 2.1403          | 26.598  | 7.883  | 20.3585 | 20.4868   |
| 3.0813        | 10.0  | 130  | 2.1069          | 26.742  | 7.9622 | 20.4423 | 20.7426   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1