wolf-dog-vit

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

• Loss: 0.3361
• 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: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• 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
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.5868	1.0
No log	2.0	2	0.5462	1.0
No log	3.0	3	0.5176	1.0
No log	4.0	4	0.4994	1.0
No log	5.0	5	0.4905	1.0

Framework versions

• Transformers 5.5.4
• Pytorch 2.11.0+cpu
• Datasets 4.8.4
• Tokenizers 0.22.2