This model is a fine-tuned version of d071696/vit-finetune-scrap on the d071696/scraps1 dataset. It achieves the following results on the evaluation set:

Loss: 0.3599
Accuracy: 0.9260

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: 8
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0021	3.22	1000	0.3599	0.9260

Framework versions

Transformers 4.39.0
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2