---
language:
- es
- maq
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_maq
  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_maq

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: 0.7257
- Bleu: 9.3405
- Gen Len: 99.8552

## 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   | 398  | 0.9986          | 0.0463 | 19.0    |
| 1.43          | 2.0   | 796  | 0.8809          | 0.5462 | 19.0    |
| 0.9934        | 3.0   | 1194 | 0.8291          | 0.4119 | 19.0    |
| 0.8998        | 4.0   | 1592 | 0.7965          | 0.4437 | 19.0    |
| 0.8998        | 5.0   | 1990 | 0.7747          | 0.3303 | 19.0    |
| 0.851         | 6.0   | 2388 | 0.7562          | 0.3764 | 19.0    |
| 0.8139        | 7.0   | 2786 | 0.7415          | 0.3244 | 19.0    |
| 0.7865        | 8.0   | 3184 | 0.7341          | 0.4334 | 19.0    |
| 0.7767        | 9.0   | 3582 | 0.7294          | 0.3918 | 19.0    |
| 0.7767        | 10.0  | 3980 | 0.7257          | 0.3979 | 19.0    |


### Framework versions

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