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: 1.1599
Accuracy: 0.125

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: 2.0

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	1	0.125	1.1599
No log	2.0	2	0.0	1.1626

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.3.0
Datasets 2.15.1.dev0
Tokenizers 0.19.1

amyeroberts/vit-base-beans-2

vit-base-beans-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amyeroberts/
vit-base-beans-2