---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-es
tags:
- generated_from_trainer
model-index:
- name: 5_6kmslsamples
  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. -->

# 5_6kmslsamples

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2686
- Bleu Msl: 79.6101
- Bleu Asl: 87.4768
- Ter Msl: 13.4848
- Ter Asl: 6.4259

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Msl | Bleu Asl | Ter Msl  | Ter Asl |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:-------:|
| No log        | 1.0   | 142  | 0.4517          | 4.3556   | 60.0932  | 263.6364 | 17.9336 |
| No log        | 2.0   | 284  | 0.2911          | 23.2666  | 85.6532  | 55.0000  | 7.1819  |
| No log        | 3.0   | 426  | 0.2635          | 7.6866   | 80.4693  | 145.5556 | 8.7358  |
| 0.5021        | 4.0   | 568  | 0.2526          | 36.1099  | 86.3805  | 21.6162  | 7.3079  |
| 0.5021        | 5.0   | 710  | 0.2554          | 29.9719  | 84.4134  | 24.9495  | 8.1898  |
| 0.5021        | 6.0   | 852  | 0.2573          | 73.4067  | 87.3570  | 15.9091  | 6.5939  |
| 0.5021        | 7.0   | 994  | 0.2607          | 75.9042  | 87.5621  | 14.0404  | 5.9219  |
| 0.0602        | 8.0   | 1136 | 0.2534          | 69.4208  | 82.2155  | 17.9798  | 7.8118  |
| 0.0602        | 9.0   | 1278 | 0.2540          | 78.9796  | 84.5857  | 13.6869  | 7.2659  |
| 0.0602        | 10.0  | 1420 | 0.2439          | 78.3772  | 85.0526  | 14.0909  | 7.6438  |
| 0.0277        | 11.0  | 1562 | 0.2586          | 79.0479  | 85.5579  | 13.5354  | 6.8879  |
| 0.0277        | 12.0  | 1704 | 0.2658          | 77.8620  | 84.0916  | 14.3939  | 9.1978  |
| 0.0277        | 13.0  | 1846 | 0.2593          | 78.6031  | 87.9318  | 12.8283  | 5.9219  |
| 0.0277        | 14.0  | 1988 | 0.2574          | 77.2537  | 86.9300  | 13.6364  | 6.6779  |
| 0.0173        | 15.0  | 2130 | 0.2599          | 77.3620  | 85.5624  | 14.6465  | 7.2239  |
| 0.0173        | 16.0  | 2272 | 0.2674          | 77.8456  | 85.5155  | 15.0     | 7.3499  |
| 0.0173        | 17.0  | 2414 | 0.2603          | 77.5280  | 86.8876  | 14.5960  | 7.1399  |
| 0.0104        | 18.0  | 2556 | 0.2718          | 77.0685  | 86.1825  | 15.1515  | 6.5939  |
| 0.0104        | 19.0  | 2698 | 0.2675          | 78.5651  | 86.7494  | 13.8384  | 6.5099  |
| 0.0104        | 20.0  | 2840 | 0.2634          | 79.1140  | 85.3241  | 13.5859  | 7.3919  |
| 0.0104        | 21.0  | 2982 | 0.2617          | 78.1030  | 86.0924  | 14.8990  | 7.0139  |
| 0.0076        | 22.0  | 3124 | 0.2625          | 78.8043  | 86.6405  | 13.7374  | 6.2999  |
| 0.0076        | 23.0  | 3266 | 0.2694          | 78.2577  | 86.4381  | 14.4444  | 6.2579  |
| 0.0076        | 24.0  | 3408 | 0.2671          | 78.3892  | 86.1058  | 14.1919  | 6.5099  |
| 0.0056        | 25.0  | 3550 | 0.2666          | 78.4721  | 86.1346  | 14.8990  | 6.7619  |
| 0.0056        | 26.0  | 3692 | 0.2670          | 79.2248  | 87.4447  | 13.9899  | 6.4259  |
| 0.0056        | 27.0  | 3834 | 0.2689          | 80.1481  | 87.0403  | 13.4343  | 6.4259  |
| 0.0056        | 28.0  | 3976 | 0.2688          | 80.0229  | 87.3402  | 13.5354  | 6.2159  |
| 0.005         | 29.0  | 4118 | 0.2688          | 79.5101  | 87.5201  | 13.5354  | 6.3839  |
| 0.005         | 30.0  | 4260 | 0.2686          | 79.6101  | 87.4768  | 13.4848  | 6.4259  |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0