This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Accuracy: {'accuracy': 0.9366666666666666}
Loss: 0.6359
Overall Accuracy: 0.9367
Human Accuracy: 0.82
Ld Accuracy: 0.99
Sd Accuracy: 1.0

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Overall Accuracy	Human Accuracy	Ld Accuracy	Sd Accuracy
0.9363	0.96	18	{'accuracy': 0.9266666666666666}	0.6463	0.9267	0.7857	0.9901	1.0

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

sj21867/ai_art_exp2_vit_impressionism

ai_art_exp2_vit_impressionism

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sj21867/
ai_art_exp2_vit_impressionism