BirdsSpecies_vit_finetune

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1649
  • Accuracy: 0.9545

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.824 0.9984 468 0.8012 0.9212
0.3097 1.9989 937 0.3637 0.9291
0.2615 2.9995 1406 0.2659 0.9383
0.2235 4.0 1875 0.2108 0.9464
0.1777 4.9984 2343 0.2156 0.9444
0.1927 5.9989 2812 0.2014 0.9453
0.2229 6.9995 3281 0.1893 0.9485
0.1299 8.0 3750 0.1622 0.9555
0.1525 8.9984 4218 0.1548 0.9584
0.1377 9.984 4680 0.1649 0.9545

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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