02shanky / test_model_graphics_classification_LION

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: July 12 2023
image-classification

Introduction of test_model_graphics_classification_LION

Model Details of test_model_graphics_classification_LION

test_model_graphics_classification_LION

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1569
  • Accuracy: 0.9558
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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.1765 0.99 42 0.1569 0.9558
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of 02shanky test_model_graphics_classification_LION on huggingface.co

8
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-2
30-day runs

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