---
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: 1.2346
- Rouge1: 49.856
- Rouge2: 40.9224
- Rougel: 49.5484
- Rougelsum: 49.559
- Gen Len: 15.1417

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.6216        | 1.0   | 1600 | 1.3788          | 49.0991 | 39.9787 | 48.8099 | 48.8174   | 15.369  |
| 1.6391        | 2.0   | 3200 | 1.2671          | 49.5863 | 40.5963 | 49.2822 | 49.3027   | 15.2092 |
| 1.638         | 3.0   | 4800 | 1.2590          | 49.7134 | 40.7759 | 49.4037 | 49.4228   | 15.2206 |
| 1.3495        | 4.0   | 6400 | 1.2346          | 49.856  | 40.9224 | 49.5484 | 49.559    | 15.1417 |


### Framework versions

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