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: 0.1168
Accuracy: 0.9804

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
1.5698	4.0	10	1.2316	0.6214
0.7717	8.0	20	0.6293	0.8696
0.2702	12.0	30	0.3256	0.9571
0.0817	16.0	40	0.2082	0.9679
0.0301	20.0	50	0.1580	0.9661
0.0123	24.0	60	0.1168	0.9804
0.0074	28.0	70	0.1133	0.9786

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

griffio/vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-005

vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-005

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

griffio/
vit-large-patch16-224-dungeon-geo-morphs-0-4-28Nov24-005