Vit_Guava

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: 0.0036
• Accuracy: 1.0

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1092	0.4651	100	0.0675	0.9918
0.0334	0.9302	200	0.0861	0.9785
0.0188	1.3953	300	0.0506	0.9847
0.0074	1.8605	400	0.0236	0.9949
0.016	2.3256	500	0.0092	0.9980
0.0041	2.7907	600	0.0044	1.0
0.0038	3.2558	700	0.0039	1.0
0.0035	3.7209	800	0.0036	1.0

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu124
• Tokenizers 0.21.0