vit-large-patch16-224-dungeon-geo-morphs-0-4-29Nov24-001

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

• Loss: 0.1522
• Accuracy: 0.9946

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: 1e-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: 35
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6512	4.0	10	1.3078	0.4643
1.0709	8.0	20	0.7778	0.8429
0.6487	12.0	30	0.4804	0.9089
0.4013	16.0	40	0.3228	0.9554
0.264	20.0	50	0.2140	0.9839
0.1821	24.0	60	0.1688	0.9857
0.1711	28.0	70	0.1522	0.9946

Framework versions

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