---
language:
- es
- maz
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_maz
  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. -->

# byt5-base-es_maz

This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7418
- Bleu: 6.8783
- Gen Len: 99.7771

## 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: 16
- eval_batch_size: 16
- seed: 65
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 393  | 1.0332          | 0.0452 | 19.0    |
| 1.5229        | 2.0   | 786  | 0.9129          | 0.1159 | 19.0    |
| 1.0464        | 3.0   | 1179 | 0.8561          | 0.1479 | 19.0    |
| 0.9477        | 4.0   | 1572 | 0.8148          | 0.1678 | 19.0    |
| 0.9477        | 5.0   | 1965 | 0.7879          | 0.1791 | 19.0    |
| 0.8888        | 6.0   | 2358 | 0.7708          | 0.1628 | 19.0    |
| 0.8517        | 7.0   | 2751 | 0.7597          | 0.1582 | 19.0    |
| 0.8279        | 8.0   | 3144 | 0.7492          | 0.1683 | 19.0    |
| 0.8107        | 9.0   | 3537 | 0.7442          | 0.1704 | 19.0    |
| 0.8107        | 10.0  | 3930 | 0.7418          | 0.1683 | 19.0    |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3