fast_food_fixmatch_model_13c0b81e

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:

• eval_loss: 0.1595
• eval_accuracy: 0.97
• eval_runtime: 11.1329
• eval_samples_per_second: 134.736
• eval_steps_per_second: 16.887
• epoch: 4.0
• step: 228

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: 1e-05
• train_batch_size: 1
• 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: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.1.1
• Tokenizers 0.22.0