This model is a fine-tuned version of google/vit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1204

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: 10
eval_batch_size: 4
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	177	0.1843
No log	2.0	354	0.1590
0.2051	3.0	531	0.1291
0.2051	4.0	708	0.1288
0.2051	5.0	885	0.1204

Framework versions

Transformers 4.57.0.dev0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0

aloooo567865/output-models

output-models

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aloooo567865/
output-models