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: 3.0197
- Rouge1: 16.6252
- Rouge2: 7.8463
- Rougel: 16.5669
- Rougelsum: 16.5091

## 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 | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.9379        | 1.0   | 1209 | 3.3203          | 19.0063 | 9.7984 | 18.5969 | 18.4743   |
| 3.5668        | 2.0   | 2418 | 3.0886          | 17.4365 | 8.614  | 17.0761 | 17.0194   |
| 3.3727        | 3.0   | 3627 | 3.0707          | 16.7181 | 8.3534 | 16.5387 | 16.4384   |
| 3.2658        | 4.0   | 4836 | 3.0663          | 16.7178 | 8.2583 | 16.5202 | 16.4407   |
| 3.1784        | 5.0   | 6045 | 3.0332          | 16.6095 | 7.7741 | 16.3874 | 16.3206   |
| 3.1276        | 6.0   | 7254 | 3.0291          | 16.2199 | 7.3083 | 15.9939 | 15.8797   |
| 3.1038        | 7.0   | 8463 | 3.0194          | 16.5163 | 7.8339 | 16.3592 | 16.2554   |
| 3.0796        | 8.0   | 9672 | 3.0197          | 16.6252 | 7.8463 | 16.5669 | 16.5091   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
