---
library_name: transformers
license: apache-2.0
base_model: akahana/mt5-small-google
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-google-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-google-finetuned-amazon-en-es

This model is a fine-tuned version of [akahana/mt5-small-google](https://huggingface.co/akahana/mt5-small-google) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.3094
- Model Preparation Time: 0.0043
- Rouge1: 3.9907
- Rouge2: 0.0
- Rougel: 3.728
- Rougelsum: 3.7451

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|:------:|:---------:|
| 36.3235       | 1.0   | 1209 | 10.4603         | 0.0043                 | 1.9526 | 0.0    | 1.9645 | 1.9549    |
| 10.1253       | 2.0   | 2418 | 7.8354          | 0.0043                 | 2.7987 | 0.0    | 2.738  | 2.7197    |
| 8.2571        | 3.0   | 3627 | 7.1225          | 0.0043                 | 2.7838 | 0.0    | 2.7297 | 2.7215    |
| 7.5278        | 4.0   | 4836 | 6.7621          | 0.0043                 | 3.6597 | 0.0    | 3.4788 | 3.4724    |
| 7.1356        | 5.0   | 6045 | 6.5444          | 0.0043                 | 3.8173 | 0.0    | 3.5713 | 3.5866    |
| 6.8907        | 6.0   | 7254 | 6.3968          | 0.0043                 | 3.8173 | 0.0    | 3.5334 | 3.5352    |
| 6.753         | 7.0   | 8463 | 6.3399          | 0.0043                 | 3.9907 | 0.0    | 3.728  | 3.7451    |
| 6.6743        | 8.0   | 9672 | 6.3094          | 0.0043                 | 3.9907 | 0.0    | 3.728  | 3.7451    |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.4