model-22

This model is a fine-tuned version of on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.0350
• Accuracy: 0.4554

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: 10
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0375	1.0	1738	1.0350	0.4554

Framework versions

• Transformers 4.39.3
• Pytorch 2.5.0+cu124
• Datasets 2.18.0
• Tokenizers 0.15.2