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library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-es
tags:
- generated_from_trainer
model-index:
- name: augmented
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. -->
# augmented
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: 0.0293
- Bleu Msl: 95.6270
- Bleu Asl: 0
- Ter Msl: 2.0212
- Ter Asl: 100
## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use 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 | 250 | 2.5165 | 14.8999 | 0 | 102.2714 | 100 |
| 3.1383 | 2.0 | 500 | 1.3557 | 6.4514 | 0 | 181.1590 | 100 |
| 3.1383 | 3.0 | 750 | 0.6870 | 40.7848 | 0 | 32.4694 | 100 |
| 0.9384 | 4.0 | 1000 | 0.4223 | 31.8139 | 0 | 39.1380 | 100 |
| 0.9384 | 5.0 | 1250 | 0.3244 | 59.5708 | 0 | 19.2778 | 100 |
| 0.393 | 6.0 | 1500 | 0.2693 | 79.8758 | 0 | 12.9878 | 100 |
| 0.393 | 7.0 | 1750 | 0.2303 | 80.9355 | 0 | 11.8812 | 100 |
| 0.2573 | 8.0 | 2000 | 0.2041 | 81.8443 | 0 | 11.1532 | 100 |
| 0.2573 | 9.0 | 2250 | 0.1894 | 81.3993 | 0 | 11.0367 | 100 |
| 0.1956 | 10.0 | 2500 | 0.1708 | 80.6953 | 0 | 10.9202 | 100 |
| 0.1956 | 11.0 | 2750 | 0.1551 | 83.8621 | 0 | 9.6680 | 100 |
| 0.1573 | 12.0 | 3000 | 0.1507 | 85.1923 | 0 | 9.7263 | 100 |
| 0.1573 | 13.0 | 3250 | 0.1416 | 84.8165 | 0 | 9.4351 | 100 |
| 0.1349 | 14.0 | 3500 | 0.1345 | 85.4052 | 0 | 9.4059 | 100 |
| 0.1349 | 15.0 | 3750 | 0.1306 | 85.7668 | 0 | 9.2312 | 100 |
| 0.1183 | 16.0 | 4000 | 0.1281 | 85.0627 | 0 | 9.0856 | 100 |
| 0.1183 | 17.0 | 4250 | 0.1211 | 86.3222 | 0 | 8.6779 | 100 |
| 0.1052 | 18.0 | 4500 | 0.1176 | 87.0423 | 0 | 8.7070 | 100 |
| 0.1052 | 19.0 | 4750 | 0.1154 | 86.6227 | 0 | 8.4741 | 100 |
| 0.0974 | 20.0 | 5000 | 0.1111 | 86.8667 | 0 | 8.1538 | 100 |
| 0.0974 | 21.0 | 5250 | 0.1120 | 87.1441 | 0 | 8.4450 | 100 |
| 0.0904 | 22.0 | 5500 | 0.1090 | 87.0076 | 0 | 8.2994 | 100 |
| 0.0904 | 23.0 | 5750 | 0.1065 | 87.5612 | 0 | 7.8626 | 100 |
| 0.0868 | 24.0 | 6000 | 0.1049 | 87.8206 | 0 | 7.8917 | 100 |
| 0.0868 | 25.0 | 6250 | 0.1039 | 87.9881 | 0 | 7.7169 | 100 |
| 0.0827 | 26.0 | 6500 | 0.1032 | 87.9361 | 0 | 7.8043 | 100 |
| 0.0827 | 27.0 | 6750 | 0.1030 | 87.6810 | 0 | 7.7752 | 100 |
| 0.0801 | 28.0 | 7000 | 0.1028 | 87.8956 | 0 | 7.6296 | 100 |
| 0.0801 | 29.0 | 7250 | 0.1021 | 87.8736 | 0 | 7.6878 | 100 |
| 0.0782 | 30.0 | 7500 | 0.1020 | 87.9235 | 0 | 7.6878 | 100 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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