| | ---
|
| | license: apache-2.0
|
| | base_model: microsoft/resnet-152
|
| | tags:
|
| | - generated_from_trainer
|
| | model-index:
|
| | - name: SkinCancerClassifier_Plain-V0
|
| | results: []
|
| | ---
|
| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
|
| |
|
| | [<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)
|
| | [<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)
|
| | # 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
|
| |
|
