---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_mt5_small_test-finetuned-textdetox
  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. -->

# my_mt5_small_test-finetuned-textdetox

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: 0.0040
- Rouge1: 7.6519
- Rouge2: 2.5188
- Rougel: 7.6693
- Rougelsum: 7.6998
- Gen Len: 16.1324

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.6699        | 1.0   | 348  | 0.2325          | 7.206  | 2.2593 | 7.2116 | 7.2778    | 15.8029 |
| 0.198         | 2.0   | 696  | 0.0066          | 7.5046 | 2.4469 | 7.4966 | 7.5618    | 16.1353 |
| 0.1554        | 3.0   | 1044 | 0.0051          | 7.6519 | 2.5188 | 7.6693 | 7.6998    | 16.1309 |
| 0.1058        | 4.0   | 1392 | 0.0039          | 7.6519 | 2.5188 | 7.6693 | 7.6998    | 16.1317 |
| 0.1013        | 5.0   | 1740 | 0.0040          | 7.6519 | 2.5188 | 7.6693 | 7.6998    | 16.1324 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1