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Sponsored by
APIMaster
jhoppanne / SkinCancerClassifier_Plain-V1
Model's Last Updated: July 14 2024
image-classification
Introduction of SkinCancerClassifier_Plain-V1
Model Details of SkinCancerClassifier_Plain-V1
SkinCancerClassifier_Plain-V1
This model is a fine-tuned version of google/efficientnet-b0 on the imagefolder dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0790
- eval_accuracy: 0.7792
- eval_runtime: 1.5074
- eval_samples_per_second: 159.219
- eval_steps_per_second: 5.307
- epoch: 104.5667
- step: 3137
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: 1e-06
- 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: 2000
Framework versions
- Transformers 4.42.2
- Pytorch 2.3.0
- Datasets 2.15.0
- Tokenizers 0.19.1
Runs of jhoppanne SkinCancerClassifier_Plain-V1 on huggingface.co
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30-day runs
More Information About SkinCancerClassifier_Plain-V1 huggingface.co Model
Url of SkinCancerClassifier_Plain-V1
SkinCancerClassifier_Plain-V1 huggingface.co Url
Provider of SkinCancerClassifier_Plain-V1 huggingface.co
Other API from jhoppanne
Updated:June 21 2024
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