WargonInnovation-ViT-brand

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: 2.9420

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: 5e-05
• train_batch_size: 56
• eval_batch_size: 56
• seed: 42
• 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
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
3.5828	1.0	540	3.0740
3.0225	2.0	1080	2.9955
2.9336	3.0	1620	2.9478
2.8204	4.0	2160	2.9420

Framework versions

• Transformers 4.48.2
• Pytorch 2.6.0+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0