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vit_flyswot_test

This model is a fine-tuned version of on the image_folder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4777
  • F1: 0.8492

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 52 1.2007 0.3533
No log 2.0 104 1.0037 0.5525
No log 3.0 156 0.8301 0.6318
No log 4.0 208 0.7224 0.6946
No log 5.0 260 0.7298 0.7145
No log 6.0 312 0.6328 0.7729
No log 7.0 364 0.6010 0.7992
No log 8.0 416 0.5174 0.8364
No log 9.0 468 0.5084 0.8479
0.6372 10.0 520 0.4777 0.8492

Framework versions

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