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

Loss: 1.0461
Accuracy: 0.792

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.285	0.99	62	1.2299	0.718
1.2002	2.0	125	1.2043	0.744
1.0345	2.98	186	1.0461	0.792

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

sehee-lim/fashion_classification_model

fashion_classification_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sehee-lim/
fashion_classification_model