---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: MarianMT-finetuned-ES-ZAP-v3
  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. -->

# MarianMT-finetuned-ES-ZAP-v3

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2356
- Bleu: 21.9740
- Meteor: 0.4674
- Ter: 62.6908
- Chrf: 45.9496

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Meteor | Ter      | Chrf    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:--------:|:-------:|
| 1.3736        | 1.0   | 179  | 0.5978          | 0.3111  | 0.0882 | 216.7939 | 9.2974  |
| 0.4949        | 2.0   | 358  | 0.4382          | 3.6416  | 0.1889 | 95.1336  | 20.9865 |
| 0.3762        | 3.0   | 537  | 0.3719          | 6.2974  | 0.2275 | 88.7405  | 24.9969 |
| 0.3149        | 4.0   | 716  | 0.3382          | 8.2395  | 0.2822 | 84.8282  | 29.5532 |
| 0.2765        | 5.0   | 895  | 0.3156          | 8.4096  | 0.3200 | 79.4847  | 32.3501 |
| 0.2462        | 6.0   | 1074 | 0.2968          | 11.4876 | 0.3457 | 75.8588  | 35.1628 |
| 0.2217        | 7.0   | 1253 | 0.2841          | 13.5969 | 0.3650 | 77.0992  | 36.6277 |
| 0.2013        | 8.0   | 1432 | 0.2731          | 15.4573 | 0.3967 | 71.3740  | 38.5145 |
| 0.1842        | 9.0   | 1611 | 0.2638          | 16.6958 | 0.4135 | 70.1336  | 40.9340 |
| 0.1690        | 10.0  | 1790 | 0.2573          | 17.4951 | 0.4206 | 67.4618  | 41.4994 |
| 0.1560        | 11.0  | 1969 | 0.2531          | 18.0435 | 0.4313 | 67.6527  | 41.9272 |
| 0.1446        | 12.0  | 2148 | 0.2469          | 20.5832 | 0.4548 | 64.5992  | 43.7279 |
| 0.1331        | 13.0  | 2327 | 0.2449          | 18.6926 | 0.4423 | 66.6985  | 43.3962 |
| 0.1249        | 14.0  | 2506 | 0.2419          | 20.7880 | 0.4566 | 63.6450  | 44.3923 |
| 0.1166        | 15.0  | 2685 | 0.2401          | 21.5664 | 0.4608 | 61.7366  | 44.9293 |
| 0.1082        | 16.0  | 2864 | 0.2379          | 20.8974 | 0.4626 | 62.6908  | 45.3873 |
| 0.1019        | 17.0  | 3043 | 0.2356          | 21.9740 | 0.4674 | 62.6908  | 45.9496 |
| 0.0949        | 18.0  | 3222 | 0.2361          | 21.5536 | 0.4704 | 62.5     | 46.4209 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2