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SkinCancerClassifier_Plain-V0 – AI Model by jhoppanne | AlphaNeural AI

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jhoppanne/
SkinCancerClassifier_Plain-V0

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image-classification

generated_from_trainer

microsoft/resnet-152

autotrain_compatible

endpoints_compatible

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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