trashnet-vit

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