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flyswot_test

This model is a fine-tuned version of facebook/convnext-base-224-22k on the image_folder dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1518
  • eval_f1: 0.9595
  • eval_runtime: 5.9337
  • eval_samples_per_second: 69.603
  • eval_steps_per_second: 2.191
  • epoch: 7.0
  • step: 364

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 666
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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