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# SkinCancerClassifier_Plain-V0

This model is a fine-tuned version of [microsoft/resnet-152](https://huggingface.co/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

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