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: 0.1053
Accuracy: 0.9982

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4584	3.9091	10	1.0501	0.6804
0.5812	7.9091	20	0.4168	0.9339
0.2353	11.9091	30	0.2736	0.9214
0.1102	15.9091	40	0.1728	0.9821
0.0623	19.9091	50	0.1053	0.9982
0.0285	23.9091	60	0.1018	0.9964

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-0-4-30Nov24-013

vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-013

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-0-4-30Nov24-013