transformers tensorboard safetensors mt5 text2text-generation summarization generated_from_trainer base_model:google/mt5-small base_model:finetune:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: google/mt5-small
library_name: transformers
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
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.3328
- Rouge1: 0.3915
- Rouge2: 0.1651
- Rougel: 0.3909
- Rougelsum: 0.3782

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 25.705        | 1.0   | 11   | 18.5714         | 0.0764 | 0.0    | 0.0764 | 0.0764    |
| 22.5362       | 2.0   | 22   | 15.5799         | 0.1364 | 0.0    | 0.1364 | 0.1364    |
| 21.1813       | 3.0   | 33   | 12.7223         | 0.1364 | 0.0    | 0.1364 | 0.1364    |
| 17.5603       | 4.0   | 44   | 11.6810         | 0.3915 | 0.1651 | 0.3909 | 0.3782    |
| 18.4079       | 5.0   | 55   | 11.5279         | 0.3915 | 0.1651 | 0.3909 | 0.3782    |
| 18.1867       | 6.0   | 66   | 11.3328         | 0.3915 | 0.1651 | 0.3909 | 0.3782    |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
