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Helsinki-NLP-opus-mt-en-es-fine-tuned
xgboost-lover/Helsinki-NLP-opus-mt-en-es-fine-tuned
Helsinki-NLP-opus-mt-en-es-fine-tuned is a machine learning model from xgboost-lover. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Nov 22, 2025
- Updated
- Nov 27, 2025
- SHA
- 814fc09c
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
Helsinki-NLP-opus-mt-en-es-fine-tuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9264
- Bleu: 59.0232
- Gen Len: 10.2241
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: 128
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.0075 | 0.0571 | 100 | 1.9689 | 56.5918 | 10.0929 |
| 1.9751 | 0.1143 | 200 | 1.9573 | 57.4701 | 10.1606 |
| 1.9695 | 0.1714 | 300 | 1.9491 | 58.1358 | 10.1936 |
| 1.9642 | 0.2286 | 400 | 1.9454 | 58.2964 | 10.2016 |
| 1.9675 | 0.2857 | 500 | 1.9430 | 58.4552 | 10.1803 |
| 1.9665 | 0.3429 | 600 | 1.9397 | 58.774 | 10.1874 |
| 1.9698 | 0.4 | 700 | 1.9366 | 58.7652 | 10.2136 |
| 1.9567 | 0.4571 | 800 | 1.9351 | 58.9254 | 10.208 |
| 1.9647 | 0.5143 | 900 | 1.9332 | 58.971 | 10.2239 |
| 1.9562 | 0.5714 | 1000 | 1.9311 | 59.0491 | 10.2169 |
| 1.9476 | 0.6286 | 1100 | 1.9302 | 58.9443 | 10.2049 |
| 1.956 | 0.6857 | 1200 | 1.9284 | 59.0869 | 10.228 |
| 1.9479 | 0.7429 | 1300 | 1.9286 | 58.9766 | 10.22 |
| 1.9402 | 0.8 | 1400 | 1.9274 | 59.0948 | 10.2253 |
| 1.9384 | 0.8571 | 1500 | 1.9272 | 59.0634 | 10.224 |
| 1.9473 | 0.9143 | 1600 | 1.9269 | 59.062 | 10.2177 |
| 1.9416 | 0.9714 | 1700 | 1.9264 | 59.0232 | 10.2241 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Nov 22, 2025
- Updated
- Nov 27, 2025