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medical_pubmed_8_19
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: 0.4625
- Bleu: 58.7452
- Gen Len: 119.0251
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 |
|---|---|---|---|---|---|
| 0.8785 | 3.25 | 1000 | 0.8319 | 47.8321 | 118.9146 |
| 0.6571 | 6.5 | 2000 | 0.7008 | 50.9386 | 118.9497 |
| 0.5257 | 9.76 | 3000 | 0.5956 | 53.6824 | 118.9724 |
| 0.4406 | 13.01 | 4000 | 0.5257 | 56.3775 | 119.0075 |
| 0.3834 | 16.26 | 5000 | 0.4808 | 57.9502 | 119.0302 |
| 0.3541 | 19.51 | 6000 | 0.4625 | 58.7452 | 119.0251 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
