final-ft__roberta-clinical-wl-es__70k-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: 0.6177
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 | 0.9967 | 229 | 0.9228 |
| No log | 1.9978 | 459 | 0.8047 |
| No log | 2.9989 | 689 | 0.7665 |
| 0.958 | 4.0 | 919 | 0.7180 |
| 0.958 | 4.9967 | 1148 | 0.7044 |
| 0.958 | 5.9978 | 1378 | 0.6875 |
| 0.958 | 6.9989 | 1608 | 0.6674 |
| 0.7197 | 8.0 | 1838 | 0.6454 |
| 0.7197 | 8.9967 | 2067 | 0.6485 |
| 0.7197 | 9.9978 | 2297 | 0.6411 |
| 0.7197 | 10.9989 | 2527 | 0.6292 |
| 0.665 | 12.0 | 2757 | 0.6223 |
| 0.665 | 12.9967 | 2986 | 0.6311 |
| 0.665 | 13.9978 | 3216 | 0.6128 |
| 0.665 | 14.9989 | 3446 | 0.6141 |
| 0.6398 | 16.0 | 3676 | 0.6028 |
| 0.6398 | 16.9967 | 3905 | 0.6064 |
| 0.6398 | 17.9978 | 4135 | 0.6148 |
| 0.6398 | 18.9989 | 4365 | 0.6032 |
| 0.6398 | 19.9347 | 4580 | 0.6177 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1