dino.atlas_isic.glide-finetuned-SkinDisease

• Loss: 0.3861
• Accuracy: 0.8784

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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_steps: 0.1
• num_epochs: 10

Training results

Framework versions

• Transformers 5.5.4
• Pytorch 2.10.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2