fine-tuned-vit-ham-pad-further

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: 1.9078
• Accuracy: 0.7158

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	176	1.9597	0.6255
No log	2.0	352	1.9215	0.7040
1.9557	3.0	528	1.9078	0.7158

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.2
• Datasets 2.18.0
• Tokenizers 0.15.2