---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Nahuatl_Espanol_vn
  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. -->

# Nahuatl_Espanol_vn

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1464
- Bleu: 15.4218
- Gen Len: 45.5239

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| No log        | 0.1064 | 100  | 1.1525          | 14.738  | 46.3599 |
| No log        | 0.2128 | 200  | 1.1682          | 14.2823 | 45.9297 |
| No log        | 0.3191 | 300  | 1.1739          | 14.2118 | 46.4243 |
| No log        | 0.4255 | 400  | 1.1799          | 14.3198 | 45.9266 |
| 1.3984        | 0.5319 | 500  | 1.1771          | 14.0972 | 46.2179 |
| 1.3984        | 0.6383 | 600  | 1.1752          | 14.4083 | 45.8709 |
| 1.3984        | 0.7447 | 700  | 1.1756          | 14.1914 | 46.0949 |
| 1.3984        | 0.8511 | 800  | 1.1761          | 14.4131 | 46.0528 |
| 1.3984        | 0.9574 | 900  | 1.1727          | 14.1957 | 46.4856 |
| 1.3826        | 1.0638 | 1000 | 1.1768          | 14.7451 | 45.7873 |
| 1.3826        | 1.1702 | 1100 | 1.1727          | 14.6016 | 45.8654 |
| 1.3826        | 1.2766 | 1200 | 1.1726          | 14.6549 | 45.6857 |
| 1.3826        | 1.3830 | 1300 | 1.1693          | 14.586  | 45.6052 |
| 1.3826        | 1.4894 | 1400 | 1.1704          | 14.6483 | 45.6039 |
| 1.2932        | 1.5957 | 1500 | 1.1638          | 14.921  | 45.5508 |
| 1.2932        | 1.7021 | 1600 | 1.1649          | 14.7977 | 45.3693 |
| 1.2932        | 1.8085 | 1700 | 1.1580          | 14.9676 | 45.7072 |
| 1.2932        | 1.9149 | 1800 | 1.1567          | 14.794  | 45.5877 |
| 1.2932        | 2.0213 | 1900 | 1.1607          | 15.3066 | 45.677  |
| 1.2612        | 2.1277 | 2000 | 1.1569          | 15.1152 | 45.4122 |
| 1.2612        | 2.2340 | 2100 | 1.1553          | 15.2526 | 45.4026 |
| 1.2612        | 2.3404 | 2200 | 1.1521          | 15.2022 | 45.3518 |
| 1.2612        | 2.4468 | 2300 | 1.1505          | 15.3072 | 45.5873 |
| 1.2612        | 2.5532 | 2400 | 1.1500          | 15.417  | 45.5906 |
| 1.2095        | 2.6596 | 2500 | 1.1507          | 15.394  | 45.4383 |
| 1.2095        | 2.7660 | 2600 | 1.1501          | 15.4171 | 45.4846 |
| 1.2095        | 2.8723 | 2700 | 1.1472          | 15.4497 | 45.5049 |
| 1.2095        | 2.9787 | 2800 | 1.1464          | 15.4218 | 45.5239 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1