metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spanish-spanglish
results: []
spanish-spanglish
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9401
- Bleu: 29.8764
- Gen Len: 15.725
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.5094 | 1.0 | 10 | 0.9295 | 28.2464 | 16.325 |
| 0.385 | 2.0 | 20 | 0.9574 | 24.2148 | 13.925 |
| 0.3085 | 3.0 | 30 | 0.9097 | 30.5954 | 15.925 |
| 0.2548 | 4.0 | 40 | 0.9455 | 25.5705 | 14.6 |
| 0.2283 | 5.0 | 50 | 0.9268 | 28.5459 | 15.675 |
| 0.2193 | 6.0 | 60 | 0.9306 | 28.1665 | 15.65 |
| 0.1902 | 7.0 | 70 | 0.9363 | 29.2711 | 15.525 |
| 0.1784 | 8.0 | 80 | 0.9349 | 30.2007 | 15.75 |
| 0.1647 | 9.0 | 90 | 0.9393 | 29.8764 | 15.725 |
| 0.1532 | 10.0 | 100 | 0.9401 | 29.8764 | 15.725 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1