---
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: 1.2691
- Rouge1: 0.5
- Rouge2: 0.0
- Rougel: 0.5
- Rougelsum: 0.5
- Gen Len: 15.4375

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 18.2411       | 1.0   | 20   | 10.6528         | 0.0    | 0.0    | 0.0    | 0.0       | 5.8125  |
| 13.9385       | 2.0   | 40   | 8.9008          | 1.0    | 0.0    | 1.0    | 1.0       | 9.1625  |
| 11.4717       | 3.0   | 60   | 6.5627          | 1.0    | 0.0    | 1.0    | 1.0       | 15.575  |
| 8.354         | 4.0   | 80   | 3.7240          | 1.0    | 0.0    | 1.0    | 1.0       | 17.55   |
| 6.7029        | 5.0   | 100  | 2.6658          | 1.5    | 0.0    | 1.5    | 1.5       | 18.6    |
| 5.3487        | 6.0   | 120  | 1.8080          | 0.0    | 0.0    | 0.0    | 0.0       | 18.625  |
| 4.3308        | 7.0   | 140  | 1.4764          | 1.0    | 0.0    | 1.0    | 1.0       | 17.225  |
| 3.9161        | 8.0   | 160  | 1.3390          | 1.0    | 0.0    | 1.0    | 1.0       | 15.9875 |
| 3.2566        | 9.0   | 180  | 1.2843          | 0.5    | 0.0    | 0.5    | 0.5       | 15.6625 |
| 3.2432        | 10.0  | 200  | 1.2691          | 0.5    | 0.0    | 0.5    | 0.5       | 15.4375 |


### Framework versions

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