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---
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license: apache-2.0
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base_model: microsoft/resnet-152
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tags:
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- generated_from_trainer
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model-index:
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- name: SkinCancerClassifier_Plain-V0
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jhoppanne-myself/finalProject/runs/yef3opr5)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jhoppanne-myself/finalProject/runs/yef3opr5)
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# SkinCancerClassifier_Plain-V0
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This model is a fine-tuned version of [microsoft/resnet-152](https://huggingface.co/microsoft/resnet-152) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.2075
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- eval_accuracy: 0.6083
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- eval_runtime: 1.756
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- eval_samples_per_second: 136.671
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- eval_steps_per_second: 4.556
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- epoch: 250.6
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- step: 7518
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 500
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### Framework versions
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- Transformers 4.42.2
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- Pytorch 2.3.0
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- Datasets 2.15.0
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- Tokenizers 0.19.1
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