---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-fine-tune
  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. -->

# mT5-fine-tune

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5256
- Rouge1: 0.0822
- Rouge2: 0.0244
- Rougel: 0.0813
- Rougelsum: 0.0814
- Gen Len: 18.9803
- Chrf Score: 20.301
- Chrf Char Order: 6
- Chrf Word Order: 0
- Chrf Beta: 2

## 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Chrf Score | Chrf Char Order | Chrf Word Order | Chrf Beta |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:----------:|:---------------:|:---------------:|:---------:|
| 3.5479        | 1.0   | 1951  | 2.7435          | 0.0672 | 0.021  | 0.0666 | 0.0667    | 18.9323 | 19.2495    | 6               | 0               | 2         |
| 3.1717        | 2.0   | 3902  | 2.6452          | 0.0746 | 0.0207 | 0.0738 | 0.0737    | 18.9814 | 20.1079    | 6               | 0               | 2         |
| 3.0151        | 3.0   | 5853  | 2.6014          | 0.0834 | 0.0243 | 0.0826 | 0.0823    | 18.9891 | 20.2875    | 6               | 0               | 2         |
| 2.95          | 4.0   | 7804  | 2.5647          | 0.0765 | 0.0218 | 0.0757 | 0.0757    | 18.981  | 20.2327    | 6               | 0               | 2         |
| 2.8592        | 5.0   | 9755  | 2.5480          | 0.0822 | 0.0242 | 0.0814 | 0.0813    | 18.9819 | 20.3982    | 6               | 0               | 2         |
| 2.8214        | 6.0   | 11706 | 2.5317          | 0.0841 | 0.0255 | 0.0831 | 0.083     | 18.9764 | 20.3935    | 6               | 0               | 2         |
| 2.789         | 7.0   | 13657 | 2.5256          | 0.0822 | 0.0244 | 0.0813 | 0.0814    | 18.9803 | 20.301     | 6               | 0               | 2         |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3