---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-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

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2197
- Rouge1: 23.7209
- Rouge2: 12.4611
- Rougel: 22.745
- Rougelsum: 22.8085

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.2981        | 1.0   | 589  | 3.2505          | 21.3203 | 11.2834 | 20.3564 | 20.3812   |
| 3.2017        | 2.0   | 1178 | 3.2563          | 21.5285 | 10.7337 | 20.7505 | 20.5952   |
| 3.1031        | 3.0   | 1767 | 3.2636          | 23.6856 | 12.5802 | 22.6568 | 22.5633   |
| 3.0303        | 4.0   | 2356 | 3.2242          | 23.4492 | 12.3205 | 22.3518 | 22.3521   |
| 2.9808        | 5.0   | 2945 | 3.2281          | 24.2603 | 12.6434 | 23.1527 | 23.2443   |
| 2.9519        | 6.0   | 3534 | 3.2146          | 24.5639 | 13.5995 | 23.8336 | 23.8418   |
| 2.9125        | 7.0   | 4123 | 3.2226          | 23.9892 | 12.9918 | 23.3101 | 23.3465   |
| 2.9058        | 8.0   | 4712 | 3.2197          | 23.7209 | 12.4611 | 22.745  | 22.8085   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3