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medical_pubmed_8_13
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: 0.4152
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: 0.0008
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|---|---|---|---|
| No log | 1.0 | 116 | 1.1820 |
| No log | 2.0 | 232 | 0.9593 |
| No log | 2.99 | 348 | 0.8661 |
| No log | 4.0 | 465 | 0.7556 |
| 1.1936 | 5.0 | 581 | 0.6927 |
| 1.1936 | 6.0 | 697 | 0.6299 |
| 1.1936 | 6.99 | 813 | 0.5801 |
| 1.1936 | 8.0 | 930 | 0.5377 |
| 0.39 | 9.0 | 1046 | 0.5023 |
| 0.39 | 10.0 | 1162 | 0.4725 |
| 0.39 | 10.99 | 1278 | 0.4500 |
| 0.39 | 12.0 | 1395 | 0.4350 |
| 0.1727 | 13.0 | 1511 | 0.4206 |
| 0.1727 | 14.0 | 1627 | 0.4147 |
| 0.1727 | 14.99 | 1743 | 0.4129 |
| 0.1727 | 16.0 | 1860 | 0.4106 |
| 0.1727 | 17.0 | 1976 | 0.4127 |
| 0.0757 | 18.0 | 2092 | 0.4138 |
| 0.0757 | 18.99 | 2208 | 0.4145 |
| 0.0757 | 19.96 | 2320 | 0.4152 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
