pytorch mt5 text2text-generation transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mt5_fill_puntuation
  results: []
---

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# mt5_fill_puntuation

This model is a fine-tuned version of [jamie613/mt5_fill_puntuation](https://huggingface.co/jamie613/mt5_fill_puntuation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0717

## 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: 5e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0918        | 0.04  | 500   | 0.0803          |
| 0.0894        | 0.07  | 1000  | 0.0773          |
| 0.0905        | 0.11  | 1500  | 0.0822          |
| 0.0908        | 0.15  | 2000  | 0.0833          |
| 0.0868        | 0.18  | 2500  | 0.0840          |
| 0.09          | 0.22  | 3000  | 0.0811          |
| 0.0868        | 0.26  | 3500  | 0.0735          |
| 0.0869        | 0.29  | 4000  | 0.0805          |
| 0.0874        | 0.33  | 4500  | 0.0742          |
| 0.088         | 0.37  | 5000  | 0.0749          |
| 0.0884        | 0.4   | 5500  | 0.0730          |
| 0.0861        | 0.44  | 6000  | 0.0749          |
| 0.0804        | 0.48  | 6500  | 0.0739          |
| 0.0845        | 0.51  | 7000  | 0.0717          |
| 0.0861        | 0.55  | 7500  | 0.0743          |
| 0.0812        | 0.59  | 8000  | 0.0726          |
| 0.0824        | 0.62  | 8500  | 0.0729          |
| 0.0836        | 0.66  | 9000  | 0.0751          |
| 0.079         | 0.7   | 9500  | 0.0731          |
| 0.0806        | 0.73  | 10000 | 0.0725          |
| 0.0798        | 0.77  | 10500 | 0.0749          |
| 0.0794        | 0.81  | 11000 | 0.0725          |
| 0.0795        | 0.84  | 11500 | 0.0726          |
| 0.0755        | 0.88  | 12000 | 0.0732          |
| 0.0815        | 0.92  | 12500 | 0.0722          |
| 0.0776        | 0.95  | 13000 | 0.0719          |
| 0.0838        | 0.99  | 13500 | 0.0717          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
