| | --- |
| | library_name: peft |
| | license: other |
| | base_model: unsloth/medgemma-4b-it-unsloth-bnb-4bit |
| | tags: |
| | - base_model:adapter:unsloth/medgemma-4b-it-unsloth-bnb-4bit |
| | - lora |
| | - transformers |
| | - unsloth |
| | datasets: |
| | - imagefolder |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: derm-ai |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # derm-ai |
| |
|
| | This model is a fine-tuned version of [unsloth/medgemma-4b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/medgemma-4b-it-unsloth-bnb-4bit) on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.0633 |
| | - eval_runtime: 87.8654 |
| | - eval_samples_per_second: 1.138 |
| | - eval_steps_per_second: 0.569 |
| | - epoch: 0.4048 |
| | - step: 110 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.16.0 |
| | - Transformers 4.57.1 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.3.0 |
| | - Tokenizers 0.22.1 |
