transformers pytorch mt5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
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
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# 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: 2.9624
- Rouge1: 13.5483
- Rouge2: 5.8705
- Rougel: 13.4874
- Rougelsum: 13.5096

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 6.0643        | 1.0   | 2201  | 3.1809          | 9.7343  | 3.3747 | 9.618   | 9.5626    |
| 3.6469        | 2.0   | 4402  | 3.0471          | 10.6825 | 3.6312 | 10.6077 | 10.6607   |
| 3.3978        | 3.0   | 6603  | 2.9941          | 11.3078 | 4.3662 | 11.2585 | 11.1503   |
| 3.2626        | 4.0   | 8804  | 2.9708          | 12.0216 | 4.1979 | 11.8896 | 11.8944   |
| 3.1728        | 5.0   | 11005 | 2.9692          | 12.905  | 4.8062 | 12.8674 | 12.8577   |
| 3.1046        | 6.0   | 13206 | 2.9618          | 13.3125 | 5.7428 | 13.2373 | 13.223    |
| 3.069         | 7.0   | 15407 | 2.9644          | 13.8965 | 6.0565 | 13.9164 | 13.8888   |
| 3.0409        | 8.0   | 17608 | 2.9624          | 13.5483 | 5.8705 | 13.4874 | 13.5096   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
