my-custom-food-model

This model is a fine-tuned version of Mullerjo/food-101-finetuned-model on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.8660

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: 4
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.0964	1.0	400	2.8509
1.9141	2.0	800	2.0634
1.2164	3.0	1200	1.8660

Framework versions

• Transformers 4.57.0
• Pytorch 2.6.0+cu124
• Datasets 4.1.1
• Tokenizers 0.22.1