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SkinCancerClassifier_Plain-V1

Image Classification
Transformers
Safetensors
efficientnet
Generated from Trainer
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SkinCancerClassifier_Plain-V1 / README.md
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metadata
license: apache-2.0
base_model: google/efficientnet-b0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: SkinCancerClassifier_Plain-V1
    results: []

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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