---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- es2bash
model-index:
- name: es2bash-mt5
  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. -->

# es2bash-mt5

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the es2bash dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0928

## 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: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 21.394        | 1.0   | 672   | 1.7470          |
| 2.5294        | 2.0   | 1344  | 0.6350          |
| 0.5873        | 3.0   | 2016  | 0.2996          |
| 0.3802        | 4.0   | 2688  | 0.2142          |
| 0.2951        | 5.0   | 3360  | 0.1806          |
| 0.225         | 6.0   | 4032  | 0.1565          |
| 0.2065        | 7.0   | 4704  | 0.1461          |
| 0.1944        | 8.0   | 5376  | 0.1343          |
| 0.174         | 9.0   | 6048  | 0.1281          |
| 0.1647        | 10.0  | 6720  | 0.1207          |
| 0.1566        | 11.0  | 7392  | 0.1140          |
| 0.1498        | 12.0  | 8064  | 0.1106          |
| 0.1382        | 13.0  | 8736  | 0.1076          |
| 0.1393        | 14.0  | 9408  | 0.1042          |
| 0.1351        | 15.0  | 10080 | 0.1019          |
| 0.13          | 16.0  | 10752 | 0.0998          |
| 0.1292        | 17.0  | 11424 | 0.0983          |
| 0.1265        | 18.0  | 12096 | 0.0973          |
| 0.1255        | 19.0  | 12768 | 0.0969          |
| 0.1216        | 20.0  | 13440 | 0.0956          |
| 0.1216        | 21.0  | 14112 | 0.0946          |
| 0.123         | 22.0  | 14784 | 0.0938          |
| 0.113         | 23.0  | 15456 | 0.0931          |
| 0.1185        | 24.0  | 16128 | 0.0929          |
| 0.1125        | 25.0  | 16800 | 0.0928          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3