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convnextv2-tiny-22k-224-finetuned-piid

This model is a fine-tuned version of facebook/convnextv2-tiny-22k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6118
  • Accuracy: 0.7854

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.2083 0.98 20 1.0137 0.6027
0.6826 2.0 41 0.6901 0.6895
0.5161 2.98 61 0.6377 0.7078
0.4475 4.0 82 0.5423 0.7215
0.4325 4.98 102 0.5165 0.7671
0.3433 6.0 123 0.5916 0.7763
0.2677 6.98 143 0.5866 0.7534
0.2498 8.0 164 0.5146 0.7900
0.2387 8.98 184 0.5631 0.7580
0.2132 10.0 205 0.5320 0.7991
0.2178 10.98 225 0.5833 0.7854
0.1474 12.0 246 0.5902 0.7900
0.1627 12.98 266 0.6142 0.7808
0.1651 14.0 287 0.6063 0.7808
0.158 14.98 307 0.6130 0.7808
0.126 16.0 328 0.6647 0.7671
0.0821 16.98 348 0.5972 0.7808
0.1062 18.0 369 0.5975 0.7945
0.1031 18.98 389 0.6129 0.7808
0.1268 19.51 400 0.6118 0.7854

Framework versions

  • Transformers 4.33.3
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Evaluation results