Vit Large Patch32 384 Melanoma

🚀 vit-large-patch32-384-finetuned-melanoma

This model is a fine - tuned version of google/vit-large-patch32-384 on the imagefolder dataset. It can be used for image classification tasks and achieves an accuracy of 0.8273 on the evaluation set.

🚀 Quick Start

This model is a fine - tuned version of google/vit-large-patch32-384 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.0767
• Accuracy: 0.8273

📚 Documentation

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: 1e - 05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 40

Training results

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2

📄 License

This model is licensed under the Apache - 2.0 license.

📊 Model Index

• name: vit-large-patch32-384-finetuned-melanoma results:
  • task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default split: train args: default metrics:
    • name: Accuracy type: accuracy value: 0.8272727272727273