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:

Loss: 0.8857
Accuracy: 0.8018

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2283	0.9882	21	2.1148	0.4852
1.853	1.9765	42	1.6702	0.7249
1.4363	2.9647	63	1.3298	0.7367
1.1618	4.0	85	1.1528	0.7604
0.9739	4.9882	106	1.0281	0.7811
0.8778	5.9765	127	0.9325	0.7929
0.8114	6.9647	148	0.9100	0.8136
0.7626	8.0	170	0.9288	0.7633
0.691	8.9882	191	0.9058	0.7870
0.6988	9.8824	210	0.8857	0.8018

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

soplac/fashion_classifier

fashion_classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

soplac/
fashion_classifier