vit-large-patch16-224-in21k-dungeon-geo-morphs-denoised-04Dec24-001

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the dungeon-geo-morphs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0863
  • Accuracy: 0.9697

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.3958 4.0 10 0.9619 0.8384
0.4596 8.0 20 0.3876 0.9333
0.1012 12.0 30 0.1928 0.9616
0.022 16.0 40 0.1181 0.9636
0.0066 20.0 50 0.0936 0.9677
0.0036 24.0 60 0.0863 0.9697
0.0028 28.0 70 0.0848 0.9697
0.0025 32.0 80 0.0826 0.9697

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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