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imagenet-tiger

This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6595
  • Accuracy: 0.8254

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0771 1.0 1250 0.7663 0.7971
0.8206 2.0 2500 0.6772 0.8207
0.7212 3.0 3750 0.6595 0.8254

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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