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

Loss: 0.0867
Accuracy: 0.9728

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1356	1.0	469	0.0867	0.9728
0.0362	2.0	938	0.1110	0.9736
0.0451	3.0	1407	0.1220	0.9709
0.0661	4.0	1876	0.1079	0.9736
0.0411	5.0	2345	0.1074	0.9725

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Omriy123/vit_epochs5_batch32_lr5e-05_size224_tiles3_seed1_q3_DA

vit_epochs5_batch32_lr5e-05_size224_tiles3_seed1_q3_DA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Omriy123/
vit_epochs5_batch32_lr5e-05_size224_tiles3_seed1_q3_DA