---
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-v1
  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-v1

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: 0.2261
- Bleu: 23.5794
- Meteor: 0.4931
- Ter: 61.1641

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:--------:|
| 1.3343        | 1.0   | 179  | 0.5869          | 0.7144  | 0.1048 | 130.4389 |
| 0.4974        | 2.0   | 358  | 0.4479          | 3.9306  | 0.2073 | 99.8092  |
| 0.3872        | 3.0   | 537  | 0.3787          | 7.0159  | 0.2451 | 87.6908  |
| 0.3262        | 4.0   | 716  | 0.3448          | 8.6827  | 0.2893 | 83.6832  |
| 0.287         | 5.0   | 895  | 0.3189          | 10.0091 | 0.3152 | 79.0076  |
| 0.2561        | 6.0   | 1074 | 0.2985          | 11.7958 | 0.3400 | 77.1947  |
| 0.2307        | 7.0   | 1253 | 0.2865          | 13.6671 | 0.3672 | 72.8053  |
| 0.2102        | 8.0   | 1432 | 0.2743          | 12.9624 | 0.3759 | 72.8053  |
| 0.1928        | 9.0   | 1611 | 0.2644          | 17.1984 | 0.4046 | 68.5115  |
| 0.1782        | 10.0  | 1790 | 0.2577          | 15.8617 | 0.4150 | 68.1298  |
| 0.1644        | 11.0  | 1969 | 0.2522          | 16.6175 | 0.4242 | 66.5076  |
| 0.1515        | 12.0  | 2148 | 0.2471          | 18.3496 | 0.4332 | 67.0802  |
| 0.1414        | 13.0  | 2327 | 0.2418          | 19.8334 | 0.4531 | 64.5038  |
| 0.1324        | 14.0  | 2506 | 0.2392          | 19.7102 | 0.4520 | 65.2672  |
| 0.1244        | 15.0  | 2685 | 0.2369          | 20.3396 | 0.4657 | 63.0725  |
| 0.1163        | 16.0  | 2864 | 0.2343          | 20.8757 | 0.4650 | 63.0725  |
| 0.109         | 17.0  | 3043 | 0.2320          | 22.3445 | 0.4777 | 62.4046  |
| 0.1031        | 18.0  | 3222 | 0.2306          | 22.4122 | 0.4838 | 61.6412  |
| 0.0956        | 19.0  | 3401 | 0.2290          | 22.9322 | 0.4817 | 61.2595  |
| 0.0906        | 20.0  | 3580 | 0.2284          | 23.1472 | 0.4888 | 60.8779  |
| 0.0854        | 21.0  | 3759 | 0.2261          | 23.5794 | 0.4931 | 61.1641  |
| 0.0817        | 22.0  | 3938 | 0.2272          | 24.8709 | 0.4949 | 59.9237  |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0