Final version

Author: mmaecki

{{cookiecutter.project_slug}}/Tutorial.ipynb

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-{"name": "Evaluate Baseline", "model": "AlreadyExistingResNet20Baseline", "runs": [{"scores": {"MulticlassAccuracy-validate": 0.6883000135421753}, "parameters": {}, "timestamp": "2023-12-02 11:10:00.493226", "successful": true, "hash": "60e2ce2589c01f74052ee4142b3f874a", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "log_file_name": "2023-12-02_11-10-00_e6aac212-98e4-4836-9884-ba7e210a7b2a.log"}]}
+{"name": "Evaluate Baseline", "model": "AlreadyExistingResNet20Baseline", "runs": [{"scores": {"MulticlassAccuracy-validate": 0.6883000135421753}, "parameters": {}, "timestamp": "2023-12-02 11:10:00.493226", "successful": true, "hash": "189162562416660209dae3454f16a2df", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "log_file_name": "2023-12-02_11-10-00_e6aac212-98e4-4836-9884-ba7e210a7b2a.log"}]}

{{cookiecutter.project_slug}}/art_checkpoints/AlreadyExistingResNet20Baseline_Evaluate Baseline/results.json

@@ -1 +1 @@
-{"name": "Data analysis", "model": "", "runs": [{"scores": {}, "parameters": {}, "timestamp": "2023-12-02 11:08:56.045512", "successful": true, "hash": "795c9dee0922778709cfff57b8a49dd6", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "number_of_classes": 100, "class_names": ["apple", "aquarium_fish", "baby", "bear", "beaver", "bed", "bee", "beetle", "bicycle", "bottle", "bowl", "boy", "bridge", "bus", "butterfly", "camel", "can", "castle", "caterpillar", "cattle", "chair", "chimpanzee", "clock", "cloud", "cockroach", "couch", "cra", "crocodile", "cup", "dinosaur", "dolphin", "elephant", "flatfish", "forest", "fox", "girl", "hamster", "house", "kangaroo", "keyboard", "lamp", "lawn_mower", "leopard", "lion", "lizard", "lobster", "man", "maple_tree", "motorcycle", "mountain", "mouse", "mushroom", "oak_tree", "orange", "orchid", "otter", "palm_tree", "pear", "pickup_truck", "pine_tree", "plain", "plate", "poppy", "porcupine", "possum", "rabbit", "raccoon", "ray", "road", "rocket", "rose", "sea", "seal", "shark", "shrew", "skunk", "skyscraper", "snail", "snake", "spider", "squirrel", "streetcar", "sunflower", "sweet_pepper", "table", "tank", "telephone", "television", "tiger", "tractor", "train", "trout", "tulip", "turtle", "wardrobe", "whale", "willow_tree", "wolf", "woman", "worm"], "number_of_examples_in_each_class": {"cattle": 500, "dinosaur": 500, "apple": 500, "boy": 500, "aquarium_fish": 500, "telephone": 500, "train": 500, "cup": 500, "cloud": 500, "elephant": 500, "keyboard": 500, "willow_tree": 500, "sunflower": 500, "castle": 500, "sea": 500, "bicycle": 500, "wolf": 500, "squirrel": 500, "shrew": 500, "pine_tree": 500, "rose": 500, "television": 500, "table": 500, "possum": 500, "oak_tree": 500, "leopard": 500, "maple_tree": 500, "rabbit": 500, "chimpanzee": 500, "clock": 500, "streetcar": 500, "cockroach": 500, "snake": 500, "lobster": 500, "mountain": 500, "palm_tree": 500, "skyscraper": 500, "tractor": 500, "shark": 500, "butterfly": 500, "bottle": 500, "bee": 500, "chair": 500, "woman": 500, "hamster": 500, "otter": 500, "seal": 500, "lion": 500, "mushroom": 500, "girl": 500, "sweet_pepper": 500, "forest": 500, "crocodile": 500, "orange": 500, "tulip": 500, "mouse": 500, "camel": 500, "caterpillar": 500, "man": 500, "skunk": 500, "kangaroo": 500, "raccoon": 500, "snail": 500, "rocket": 500, "whale": 500, "worm": 500, "turtle": 500, "beaver": 500, "plate": 500, "wardrobe": 500, "road": 500, "fox": 500, "flatfish": 500, "tiger": 500, "ray": 500, "dolphin": 500, "poppy": 500, "porcupine": 500, "lamp": 500, "cra": 500, "motorcycle": 500, "spider": 500, "tank": 500, "orchid": 500, "lizard": 500, "beetle": 500, "bridge": 500, "baby": 500, "lawn_mower": 500, "house": 500, "bus": 500, "couch": 500, "bowl": 500, "pear": 500, "bed": 500, "plain": 500, "trout": 500, "bear": 500, "pickup_truck": 500, "can": 500}, "img_dimensions": [32, 32, 3], "log_file_name": "2023-12-02_11-08-56_119bbd34-9342-49f3-8fd2-7e744b5689b4.log"}]}
+{"name": "Data analysis", "model": "", "runs": [{"scores": {}, "parameters": {}, "timestamp": "2023-12-02 11:08:56.045512", "successful": true, "hash": "d95a750a53f15e554caf978981ca3494", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "number_of_classes": 100, "class_names": ["apple", "aquarium_fish", "baby", "bear", "beaver", "bed", "bee", "beetle", "bicycle", "bottle", "bowl", "boy", "bridge", "bus", "butterfly", "camel", "can", "castle", "caterpillar", "cattle", "chair", "chimpanzee", "clock", "cloud", "cockroach", "couch", "cra", "crocodile", "cup", "dinosaur", "dolphin", "elephant", "flatfish", "forest", "fox", "girl", "hamster", "house", "kangaroo", "keyboard", "lamp", "lawn_mower", "leopard", "lion", "lizard", "lobster", "man", "maple_tree", "motorcycle", "mountain", "mouse", "mushroom", "oak_tree", "orange", "orchid", "otter", "palm_tree", "pear", "pickup_truck", "pine_tree", "plain", "plate", "poppy", "porcupine", "possum", "rabbit", "raccoon", "ray", "road", "rocket", "rose", "sea", "seal", "shark", "shrew", "skunk", "skyscraper", "snail", "snake", "spider", "squirrel", "streetcar", "sunflower", "sweet_pepper", "table", "tank", "telephone", "television", "tiger", "tractor", "train", "trout", "tulip", "turtle", "wardrobe", "whale", "willow_tree", "wolf", "woman", "worm"], "number_of_examples_in_each_class": {"cattle": 500, "dinosaur": 500, "apple": 500, "boy": 500, "aquarium_fish": 500, "telephone": 500, "train": 500, "cup": 500, "cloud": 500, "elephant": 500, "keyboard": 500, "willow_tree": 500, "sunflower": 500, "castle": 500, "sea": 500, "bicycle": 500, "wolf": 500, "squirrel": 500, "shrew": 500, "pine_tree": 500, "rose": 500, "television": 500, "table": 500, "possum": 500, "oak_tree": 500, "leopard": 500, "maple_tree": 500, "rabbit": 500, "chimpanzee": 500, "clock": 500, "streetcar": 500, "cockroach": 500, "snake": 500, "lobster": 500, "mountain": 500, "palm_tree": 500, "skyscraper": 500, "tractor": 500, "shark": 500, "butterfly": 500, "bottle": 500, "bee": 500, "chair": 500, "woman": 500, "hamster": 500, "otter": 500, "seal": 500, "lion": 500, "mushroom": 500, "girl": 500, "sweet_pepper": 500, "forest": 500, "crocodile": 500, "orange": 500, "tulip": 500, "mouse": 500, "camel": 500, "caterpillar": 500, "man": 500, "skunk": 500, "kangaroo": 500, "raccoon": 500, "snail": 500, "rocket": 500, "whale": 500, "worm": 500, "turtle": 500, "beaver": 500, "plate": 500, "wardrobe": 500, "road": 500, "fox": 500, "flatfish": 500, "tiger": 500, "ray": 500, "dolphin": 500, "poppy": 500, "porcupine": 500, "lamp": 500, "cra": 500, "motorcycle": 500, "spider": 500, "tank": 500, "orchid": 500, "lizard": 500, "beetle": 500, "bridge": 500, "baby": 500, "lawn_mower": 500, "house": 500, "bus": 500, "couch": 500, "bowl": 500, "pear": 500, "bed": 500, "plain": 500, "trout": 500, "bear": 500, "pickup_truck": 500, "can": 500}, "img_dimensions": [32, 32, 3], "log_file_name": "2023-12-02_11-08-56_119bbd34-9342-49f3-8fd2-7e744b5689b4.log"}]}

{{cookiecutter.project_slug}}/art_checkpoints/Data analysis/results.json

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+{"name": "Check Loss On Init", "model": "EfficientNet", "runs": [{"scores": {"MulticlassAccuracy-validate": 0.00675999978557229, "CrossEntropyLoss-validate": 4.893486022949219}, "parameters": {"lr": 0.001, "model_name": "EfficientNet", "n_parameters": 7841894, "batch_size": 32, "train_samples": 50000, "val_samples": 10000}, "timestamp": "2023-12-02 11:14:53.975501", "successful": true, "hash": "eef024742b33fd04192b7c9fdc0c1124", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "log_file_name": "2023-12-02_11-14-53_43361818-6469-4547-8a82-02be2670bd52.log"}]}

{{cookiecutter.project_slug}}/art_checkpoints/EffiNet_Check Loss On Init/results.json

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+{"name": "Overfit One Batch", "model": "EfficientNet", "runs": [{"scores": {"MulticlassAccuracy-train": 1.0, "CrossEntropyLoss-train": 2.902682354033459e-05}, "parameters": {"number_of_steps": 40, "lr": 0.001, "model_name": "EfficientNet", "n_parameters": 7841894, "batch_size": 32, "train_samples": 50000, "val_samples": 10000}, "timestamp": "2023-12-02 11:16:49.769266", "successful": true, "hash": "eef024742b33fd04192b7c9fdc0c1124", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "model_path": "/content/ART-Templates/{{cookiecutter.project_slug}}/lightning_logs/version_7/checkpoints/epoch=39-step=40.ckpt", "MulticlassAccuracy-train": 1.0, "CrossEntropyLoss-train": 2.902682354033459e-05, "log_file_name": "2023-12-02_11-16-49_0704e137-3c69-4515-a943-bffe0f645f44.log"}]}

{{cookiecutter.project_slug}}/art_checkpoints/EffiNet_Overfit One Batch/results.json

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+{"name": "Overfit", "model": "EfficientNet", "runs": [{"scores": {"MulticlassAccuracy-train": 0.9455999732017517, "CrossEntropyLoss-train": 0.16572201251983643, "MulticlassAccuracy-validate": 0.7613999843597412, "CrossEntropyLoss-validate": 1.1986972093582153}, "parameters": {"max_epochs": 10, "lr": 0.001, "model_name": "EfficientNet", "n_parameters": 7841894, "batch_size": 32, "train_samples": 50000, "val_samples": 10000}, "timestamp": "2023-12-02 11:17:52.515484", "successful": true, "hash": "eef024742b33fd04192b7c9fdc0c1124", "commit_id": "1b740ecf84c50de0b79fb155ef306ef622d92f08", "model_path": "/content/ART-Templates/{{cookiecutter.project_slug}}/lightning_logs/version_8/checkpoints/epoch=9-step=15630.ckpt", "log_file_name": "2023-12-02_11-17-52_fb7fe9c4-02bb-4a5b-8d37-bd257c6d9f85.log"}]}