beta11-ViT

This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5219
• Accuracy: 0.85

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7356	1.0	63	1.3664	0.711
0.6231	2.0	126	0.6065	0.818
0.4567	3.0	189	0.5219	0.85

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cpu
• Datasets 4.0.0
• Tokenizers 0.22.1