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: 0.5643
Accuracy: 0.9434

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: 35
mixed_precision_training: Native AMP

Training results

Epoch	Step	Validation Loss	Accuracy
3.6364	10	0.5643	0.9434
7.2727	20	0.6440	0.9434
10.9091	30	0.6484	0.9434
14.5455	40	0.6491	0.9434
18.1818	50	0.6515	0.9434
21.8182	60	0.6539	0.9434
25.4545	70	0.6547	0.9434

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

griffio/vit-large-patch16-224-new-dungeon-geo-morphs-025

vit-large-patch16-224-new-dungeon-geo-morphs-025

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

griffio/
vit-large-patch16-224-new-dungeon-geo-morphs-025