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medical_pubmed_8_17
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: 0.6241
- Bleu: 55.4484
- Gen Len: 120.0374
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: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.8607 | 4.02 | 1000 | 0.8474 | 48.0728 | 120.0052 |
| 0.6375 | 8.05 | 2000 | 0.7323 | 51.0672 | 120.0352 |
| 0.5108 | 12.07 | 3000 | 0.6650 | 53.5194 | 120.0414 |
| 0.4362 | 16.1 | 4000 | 0.6241 | 55.4484 | 120.0374 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
