Prot10 / swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation

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Total runs: 7
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Model's Last Updated: August 29 2023
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Introduction of swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation

Model Details of swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation

swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5048
  • Accuracy: 0.3193
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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.5873 0.93 10 1.5200 0.2844
1.5036 1.95 21 1.5082 0.3124
1.4965 2.79 30 1.5048 0.3193
Framework versions
  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of Prot10 swin-tiny-patch4-window7-224-finetuned-swin-pre_evaluation on huggingface.co

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Updated:June 05 2023