vit-base-beans-2

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:

• Loss: 1.1144
• Accuracy: 0.375

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	1.1243	0.4375
No log	2.0	4	1.1204	0.375
No log	3.0	6	1.1172	0.375
No log	4.0	8	1.1152	0.375
0.9751	5.0	10	1.1144	0.375

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.1
• Datasets 2.15.1.dev0
• Tokenizers 0.15.0