ViT-LoRA-Food101-0312 / run_summary.json
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{
"run_id": "ViT-LoRA-Food101-0312",
"base_model": "google/vit-large-patch16-224-in21k",
"dataset": "food101",
"num_total_classes": 101,
"num_selected_classes": 50,
"selected_class_ids": [
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],
"selected_class_names": [
"apple_pie",
"baklava",
"beef_carpaccio",
"beef_tartare",
"beignets",
"bread_pudding",
"caesar_salad",
"cannoli",
"ceviche",
"cheese_plate",
"chicken_quesadilla",
"chocolate_mousse",
"churros",
"club_sandwich",
"creme_brulee",
"croque_madame",
"cup_cakes",
"deviled_eggs",
"donuts",
"edamame",
"filet_mignon",
"fish_and_chips",
"french_fries",
"guacamole",
"hot_dog",
"ice_cream",
"lobster_bisque",
"macaroni_and_cheese",
"miso_soup",
"nachos",
"panna_cotta",
"peking_duck",
"pizza",
"poutine",
"ramen",
"ravioli",
"red_velvet_cake",
"samosa",
"sashimi",
"scallops",
"seaweed_salad",
"spaghetti_bolognese",
"spring_rolls",
"steak",
"strawberry_shortcake",
"tacos",
"takoyaki",
"tiramisu",
"tuna_tartare",
"waffles"
],
"seed": 4077482254,
"lora": {
"rank": 32,
"target_modules": [
"query",
"key",
"value"
]
},
"hparams": {
"learning_rate": 5e-05,
"weight_decay": 0.05,
"lr_scheduler_raw": "constant",
"epochs": 8,
"random_crop": false,
"random_flip": false,
"global_batch_size": 64,
"per_device_batch_size": 64,
"grad_accumulation_steps": 1
},
"sizes": {
"train_examples": 37500,
"eval_examples": 12500
},
"metrics": {
"top1_accuracy": 0.928,
"eval_loss": 0.25284621119499207,
"eval_accuracy": 0.928,
"eval_runtime": 25.4349,
"eval_samples_per_second": 491.451,
"eval_steps_per_second": 7.706,
"epoch": 8.0
}
}