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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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- translation |
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language: |
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- en |
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- fr |
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- it |
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- ro |
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- es |
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- pt |
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pipeline_tag: translation |
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widget: |
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- text: ">>ita<< This is a test" |
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inference: |
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parameters: |
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max_new_tokens: 80 |
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do_sample: True |
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top_k: 30 |
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top_p: 0.95 |
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--- |
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# Model Card for Model ID |
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This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-roa on a dataset of medical diagnostic technical content. |
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### Model Description |
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- **Developed by:** Chiara Baffelli |
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- **Language(s) (NLP):** EN, FR, ES, IT, PT, RO |
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- **Finetuned from model [optional]:** Helsinki-NLP/opus-mt-en-roa |
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#### Training Hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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#### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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