---
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: 3.0301
- Rouge1: 17.4531
- Rouge2: 9.0091
- Rougel: 17.0836
- Rougelsum: 17.1528

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.6834        | 1.0   | 1209 | 3.2483          | 15.494  | 7.8022 | 15.1402 | 15.2041   |
| 3.6689        | 2.0   | 2418 | 3.1014          | 16.6941 | 8.9493 | 15.9414 | 16.1157   |
| 3.4493        | 3.0   | 3627 | 3.0640          | 16.5731 | 8.2808 | 16.0156 | 16.1514   |
| 3.3175        | 4.0   | 4836 | 3.0375          | 16.8245 | 8.6021 | 16.2052 | 16.3956   |
| 3.2303        | 5.0   | 6045 | 3.0312          | 17.8902 | 9.7012 | 17.3184 | 17.5092   |
| 3.1693        | 6.0   | 7254 | 3.0255          | 16.985  | 8.7225 | 16.6058 | 16.7549   |
| 3.1357        | 7.0   | 8463 | 3.0235          | 17.015  | 9.0093 | 16.7306 | 16.9061   |
| 3.1073        | 8.0   | 9672 | 3.0301          | 17.4531 | 9.0091 | 17.0836 | 17.1528   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3