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7Yang/
vit-base-beans

Name: vit-base-beans
Rating: 2.5 (22 reviews)

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vit-base-beans

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:

Accuracy: 0.7744
Loss: 0.5855

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.87	1.0	130	0.6165	0.8221
0.8443	2.0	260	0.6992	0.8201
0.8676	3.0	390	0.6992	0.7209
0.6428	4.0	520	0.7293	0.6499
0.7541	5.0	650	0.7744	0.5855

Framework versions

Transformers 4.57.0.dev0
Pytorch 2.9.1+cu130
Datasets 3.6.0
Tokenizers 0.22.1

7Yang/vit-base-beans

vit-base-beans

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

7Yang/
vit-base-beans