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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-es |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-en-es-finetuned-en-to-es |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# opus-mt-en-es-finetuned-en-to-es |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1438 |
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- Bleu: 36.1767 |
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- Gen Len: 33.8762 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 1.177 | 1.0 | 2988 | 1.1417 | 36.1355 | 34.0324 | |
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| 1.0871 | 2.0 | 5976 | 1.1396 | 35.9725 | 33.7839 | |
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| 1.0245 | 3.0 | 8964 | 1.1403 | 35.8792 | 33.7635 | |
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| 0.9782 | 4.0 | 11952 | 1.1426 | 36.172 | 33.8807 | |
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| 0.9349 | 5.0 | 14940 | 1.1438 | 36.1767 | 33.8762 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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