fast_food_fixmatch_model_90b01cf8

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: 0.3094
• Accuracy: 0.9787

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: 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: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	1.3349	0.92
No log	2.0	114	0.9242	0.97
No log	3.0	171	0.6362	0.9833
No log	4.0	228	0.4731	0.9847
No log	5.0	285	0.3818	0.984
No log	6.0	342	0.3358	0.9827
No log	7.0	399	0.3158	0.9813
No log	8.0	456	0.3086	0.98

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.1.1
• Tokenizers 0.22.0