chotePapa/vit-base-cauliflower

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:

• Loss: 0.0014
• 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0532	0.3448	100	0.0277	0.9961
0.0518	0.6897	200	0.0330	0.9942
0.006	1.0345	300	0.0387	0.9923
0.004	1.3793	400	0.0696	0.9845
0.0032	1.7241	500	0.1609	0.9691
0.0026	2.0690	600	0.0025	1.0
0.0021	2.4138	700	0.0020	1.0
0.0018	2.7586	800	0.0017	1.0
0.0016	3.1034	900	0.0016	1.0
0.0015	3.4483	1000	0.0015	1.0
0.0014	3.7931	1100	0.0014	1.0

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1