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

Loss: 0.0048
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
0.1044	0.5435	100	0.0418	0.9826
0.0517	1.0870	200	0.0545	0.9749
0.0168	1.6304	300	0.0099	0.9961
0.0526	2.1739	400	0.0048	1.0
0.062	2.7174	500	0.0196	0.9942
0.0088	3.2609	600	0.0155	0.9981
0.0239	3.8043	700	0.0106	0.9981

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Shamsaa/finetuned-waste

finetuned-waste

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Shamsaa/
finetuned-waste