derm-ai

This model is a fine-tuned version of 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