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: 0.1588
Accuracy: 0.9491

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
0.08	1.0	469	0.1588	0.9491
0.005	2.0	938	0.2155	0.9581
0.0001	3.0	1407	0.2410	0.96
0.0001	4.0	1876	0.2439	0.96
0.0	5.0	2345	0.2436	0.9611

Framework versions

Transformers 4.41.1
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.19.1

Omriy123/vit_epochs5_batch32_lr5e-05_size224_tiles9_seed42_q2_complexity

vit_epochs5_batch32_lr5e-05_size224_tiles9_seed42_q2_complexity

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Omriy123/
vit_epochs5_batch32_lr5e-05_size224_tiles9_seed42_q2_complexity