You can deploy this model and start earning money today!

durovali/
vit-motorcycle

Name: vit-motorcycle
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

finetune

apache-2.0

endpoints_compatible

Views

No views yet

vit-motorcycle

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: 1.7219
Accuracy: 0.2727

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: 16
eval_batch_size: 16
seed: 42
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8584	1.0	3	1.7152	0.1818
1.7491	2.0	6	1.6670	0.2727
1.4504	3.0	9	1.6373	0.2727
1.5355	4.0	12	1.6697	0.2727
1.4388	5.0	15	1.7158	0.2727
1.1518	6.0	18	1.7386	0.2727
1.5075	7.0	21	1.7460	0.2727
1.5540	8.0	24	1.7286	0.2727
1.7147	9.0	27	1.7242	0.2727
1.7869	10.0	30	1.7219	0.2727

Framework versions

Transformers 5.9.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

durovali/vit-motorcycle

vit-motorcycle

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

durovali/
vit-motorcycle