vit-msn-small-finetuned-custom-logo

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

• eval_loss: 6.3923
• eval_model_preparation_time: 0.0035
• eval_accuracy: 0.0031
• eval_runtime: 9.5833
• eval_samples_per_second: 170.087
• eval_steps_per_second: 2.713
• step: 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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Framework versions

• Transformers 4.46.2
• Pytorch 2.4.1+cu121
• Datasets 2.20.0
• Tokenizers 0.20.3