finetuned__roberta-clinical-wl-es__augmented-ultrasounds
This model is a fine-tuned version of plncmm/roberta-clinical-wl-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6340
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: 2e-05
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 198 | 0.9956 |
| No log | 2.0 | 396 | 0.8742 |
| No log | 3.0 | 594 | 0.8004 |
| 1.0236 | 4.0 | 792 | 0.7610 |
| 1.0236 | 5.0 | 990 | 0.7348 |
| 1.0236 | 6.0 | 1188 | 0.7259 |
| 1.0236 | 7.0 | 1386 | 0.7036 |
| 0.7694 | 8.0 | 1584 | 0.6969 |
| 0.7694 | 9.0 | 1782 | 0.6789 |
| 0.7694 | 10.0 | 1980 | 0.6774 |
| 0.7694 | 11.0 | 2178 | 0.6756 |
| 0.7115 | 12.0 | 2376 | 0.6663 |
| 0.7115 | 13.0 | 2574 | 0.6564 |
| 0.7115 | 14.0 | 2772 | 0.6517 |
| 0.7115 | 15.0 | 2970 | 0.6511 |
| 0.6834 | 16.0 | 3168 | 0.6383 |
| 0.6834 | 17.0 | 3366 | 0.6400 |
| 0.6834 | 18.0 | 3564 | 0.6483 |
| 0.6834 | 19.0 | 3762 | 0.6439 |
| 0.6716 | 20.0 | 3960 | 0.6340 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1