---
language:
- es
- mim
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-base-es_mim
  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_mim

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: 0.5603
- Bleu: 8.1209
- Gen Len: 100.8969

## 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  | 0.8136          | 0.014  | 19.0    |
| 1.246         | 2.0   | 796  | 0.7000          | 0.1109 | 19.0    |
| 0.8026        | 3.0   | 1194 | 0.6451          | 0.1504 | 19.0    |
| 0.7162        | 4.0   | 1592 | 0.6196          | 0.1224 | 19.0    |
| 0.7162        | 5.0   | 1990 | 0.5964          | 0.1486 | 19.0    |
| 0.6704        | 6.0   | 2388 | 0.5814          | 0.2053 | 19.0    |
| 0.6399        | 7.0   | 2786 | 0.5736          | 0.2048 | 19.0    |
| 0.6201        | 8.0   | 3184 | 0.5680          | 0.1875 | 19.0    |
| 0.6074        | 9.0   | 3582 | 0.5626          | 0.2047 | 19.0    |
| 0.6074        | 10.0  | 3980 | 0.5603          | 0.2074 | 19.0    |


### Framework versions

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