Main_Fashion

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: 0.7633
• Accuracy: 0.6961

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: 0.0002
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.934	0.9259	100	0.9492	0.7030
0.9191	1.8519	200	0.7838	0.7401
0.7774	2.7778	300	0.8152	0.7123
0.5743	3.7037	400	0.7249	0.7100
0.5145	4.6296	500	0.7721	0.7077
0.4713	5.5556	600	0.7182	0.7146
0.4397	6.4815	700	0.7633	0.6961

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1