gemma270-medical-dapt
This model is a fine-tuned version of google/gemma-3-270m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9938
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5998 | 0.7582 | 1000 | 2.8980 |
| 2.3657 | 1.5163 | 2000 | 2.8932 |
| 2.1833 | 2.2745 | 3000 | 2.9254 |
| 2.1202 | 3.0326 | 4000 | 2.9899 |
| 2.0536 | 3.7908 | 5000 | 2.9938 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0