---
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: 1.1729
- Rouge1: 48.4128
- Rouge2: 39.9256
- Rougel: 48.1823
- Rougelsum: 48.1665
- Gen Len: 15.1129

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4234        | 1.0   | 3480  | 1.3619          | 47.6986 | 39.113  | 47.5064 | 47.4812   | 15.454  |
| 1.3091        | 2.0   | 6960  | 1.2434          | 48.0682 | 39.5031 | 47.8767 | 47.8577   | 15.2398 |
| 1.3695        | 3.0   | 10440 | 1.2162          | 48.1983 | 39.6887 | 47.9807 | 47.9556   | 15.2225 |
| 1.123         | 4.0   | 13920 | 1.1739          | 48.309  | 39.7956 | 48.0868 | 48.0644   | 15.1866 |
| 1.4587        | 5.0   | 17400 | 1.1729          | 48.4128 | 39.9256 | 48.1823 | 48.1665   | 15.1129 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1