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vlevi/
Main_Fashion

Name: Main_Fashion
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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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

vlevi/Main_Fashion

Main_Fashion

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vlevi/
Main_Fashion