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

Loss: 0.8291
Accuracy: 0.8333

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.522	3.3333	20	0.8489	0.6667
0.0346	6.6667	40	2.3103	0.6667
0.019	10.0	60	1.4623	0.75
0.017	13.3333	80	0.8291	0.8333

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

griffio/vit-base-patch16-224-rotated-dungeons-v103

vit-base-patch16-224-rotated-dungeons-v103

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

griffio/
vit-base-patch16-224-rotated-dungeons-v103