metadata
base_model: plncmm/beto-clinical-wl-es
tags:
- generated_from_trainer
model-index:
- name: finetuned__beto-clinical-wl-es__augmented-ultrasounds
results: []
finetuned__beto-clinical-wl-es__augmented-ultrasounds
This model is a fine-tuned version of plncmm/beto-clinical-wl-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5568
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- 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 | 219 | 0.9163 |
| 1.1213 | 2.0 | 438 | 0.7814 |
| 1.1213 | 3.0 | 657 | 0.7215 |
| 0.7651 | 4.0 | 876 | 0.6875 |
| 0.7651 | 5.0 | 1095 | 0.6477 |
| 0.6904 | 6.0 | 1314 | 0.6291 |
| 0.6904 | 7.0 | 1533 | 0.6319 |
| 0.6449 | 8.0 | 1752 | 0.6108 |
| 0.6449 | 9.0 | 1971 | 0.5970 |
| 0.6212 | 10.0 | 2190 | 0.5840 |
| 0.6212 | 11.0 | 2409 | 0.5727 |
| 0.6036 | 12.0 | 2628 | 0.5873 |
| 0.6036 | 13.0 | 2847 | 0.5697 |
| 0.5864 | 14.0 | 3066 | 0.5572 |
| 0.5864 | 15.0 | 3285 | 0.5631 |
| 0.5786 | 16.0 | 3504 | 0.5559 |
| 0.5786 | 17.0 | 3723 | 0.5769 |
| 0.5709 | 18.0 | 3942 | 0.5472 |
| 0.5709 | 19.0 | 4161 | 0.5518 |
| 0.5708 | 20.0 | 4380 | 0.5568 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1