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

Loss: 0.4175
Accuracy: 0.8872

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	65	0.6381	0.8271
0.8113	2.0	130	0.4886	0.8571
0.8113	3.0	195	0.4306	0.8722
0.5137	4.0	260	0.4175	0.8872

Framework versions

Transformers 4.38.2
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.15.2

remonemo/beans_no_aug_freeze_tens

beans_no_aug_freeze_tens

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

remonemo/
beans_no_aug_freeze_tens