convnextv2-tiny-1k-224-finetuned-hand-final

This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6638
  • Accuracy: 0.7563

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6669 1.0 14 0.6050 0.6834
0.5796 2.0 28 0.5599 0.7362
0.5417 3.0 42 0.5486 0.7437
0.5466 4.0 56 0.5528 0.7387
0.5213 5.0 70 0.5673 0.7462
0.493 6.0 84 0.5432 0.7613
0.5051 7.0 98 0.5457 0.7513
0.4656 8.0 112 0.5444 0.7563
0.4399 9.0 126 0.5430 0.7613
0.4213 10.0 140 0.5507 0.7613
0.4118 11.0 154 0.5619 0.7538
0.4015 12.0 168 0.5383 0.7513
0.3785 13.0 182 0.5567 0.7563
0.3487 14.0 196 0.5972 0.7462
0.3401 15.0 210 0.6059 0.7462
0.3215 16.0 224 0.6051 0.7563
0.3171 17.0 238 0.6228 0.7513
0.2971 18.0 252 0.6529 0.7563
0.3111 19.0 266 0.6309 0.7588
0.2722 20.0 280 0.6444 0.7588
0.2677 21.0 294 0.6373 0.7588
0.2721 22.0 308 0.6393 0.7538
0.2694 23.0 322 0.6382 0.7613
0.2731 24.0 336 0.6543 0.7613
0.257 25.0 350 0.6638 0.7563

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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