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

Loss: 0.6933

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: 0.005
train_batch_size: 128
eval_batch_size: 128
seed: 42
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	Validation Loss
0.6894	1.0	46	0.6933

Framework versions

Transformers 4.35.0
Pytorch 2.2.0
Datasets 2.14.6
Tokenizers 0.14.1

ebotwick/cats_vs_dogs_image_recog_5k

cats_vs_dogs_image_recog_5k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ebotwick/
cats_vs_dogs_image_recog_5k