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SkinCancerClassifier_Plain-V0

Image Classification
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resnet
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SkinCancerClassifier_Plain-V0 / README.md
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metadata
license: apache-2.0
base_model: microsoft/resnet-152
tags:
  - generated_from_trainer
model-index:
  - name: SkinCancerClassifier_Plain-V0
    results: []

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SkinCancerClassifier_Plain-V0

This model is a fine-tuned version of microsoft/resnet-152 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.2075
  • eval_accuracy: 0.6083
  • eval_runtime: 1.756
  • eval_samples_per_second: 136.671
  • eval_steps_per_second: 4.556
  • epoch: 250.6
  • step: 7518

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 500

Framework versions

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