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

Loss: 0.4514
Accuracy: 0.8857
Precision: 0.7548

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision
0.7684	1.0	63	0.7527	0.8003	0.6885
0.4781	2.0	126	0.5375	0.8555	0.7339
0.4072	3.0	189	0.4580	0.8844	0.7504

Framework versions

Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2

harriskr14/trashnet-vit

trashnet-vit

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

harriskr14/
trashnet-vit