resnet-50-finetuned-ISIC-dec2024new

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.7290
• Accuracy: 0.5

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.7186	0.0
No log	2.0	2	0.7177	0.0
No log	3.0	3	0.7170	0.5
No log	4.0	4	0.7229	0.5
No log	5.0	5	0.7290	0.5

Framework versions

• Transformers 4.48.0
• Pytorch 2.7.0.dev20250117+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0