swin-food102

This model is a fine-tuned version of juliensimon/autotrain-food101-1471154053 on the food102 dataset, namely the food101 dataset with an extra class generated with a Stable Diffusion model.

A detailed walk-through is available on YouTube.

The achieves the following results on the evaluation set:

• Loss: 0.2510
• Accuracy: 0.9338

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: 16
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1648	1.0	597	0.3118	0.9218
0.31	2.0	1194	0.2606	0.9322
0.2488	3.0	1791	0.2510	0.9338

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu102
• Datasets 2.4.0
• Tokenizers 0.13.1