vit-part1-friends2

This model is a fine-tuned version of moreover18/vit-part1-friends on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.7298
• Accuracy: 0.7395

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1497	7.41	50	0.7298	0.7395

Framework versions

• Transformers 4.37.1
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.15.1