SkinCancerClassifier_Plain-V1

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SkinCancerClassifier_Plain-V1

This model is a fine-tuned version of google/efficientnet-b0 on the imagefolder dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.0790
• eval_accuracy: 0.7792
• eval_runtime: 1.5074
• eval_samples_per_second: 159.219
• eval_steps_per_second: 5.307
• epoch: 104.5667
• step: 3137

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-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2000

Framework versions

• Transformers 4.42.2
• Pytorch 2.3.0
• Datasets 2.15.0
• Tokenizers 0.19.1