Logs for a100 scoring

Author: aahladc

configs/ademamix.json

@@ -0,0 +1,272 @@
+{
+    "0": {
+        "framework": "pytorch",
+        "workload": "imagenet_resnet",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
+        "rng_seed": -297801539,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "1": {
+        "framework": "pytorch",
+        "workload": "imagenet_resnet",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
+        "rng_seed": 1533933257,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "2": {
+        "framework": "pytorch",
+        "workload": "imagenet_resnet",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": 1726799996,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "3": {
+        "framework": "pytorch",
+        "workload": "imagenet_vit",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
+        "rng_seed": -1402490634,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "4": {
+        "framework": "pytorch",
+        "workload": "imagenet_vit",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
+        "rng_seed": -1500662809,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "5": {
+        "framework": "pytorch",
+        "workload": "imagenet_vit",
+        "dataset": "imagenet",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": 1332992545,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "6": {
+        "framework": "pytorch",
+        "workload": "fastmri",
+        "dataset": "fastmri",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
+        "rng_seed": -1778082179,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "7": {
+        "framework": "pytorch",
+        "workload": "fastmri",
+        "dataset": "fastmri",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
+        "rng_seed": -1306213645,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "8": {
+        "framework": "pytorch",
+        "workload": "fastmri",
+        "dataset": "fastmri",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": -1690267914,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "9": {
+        "framework": "pytorch",
+        "workload": "ogbg",
+        "dataset": "ogbg",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
+        "rng_seed": 1781005226,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "10": {
+        "framework": "pytorch",
+        "workload": "ogbg",
+        "dataset": "ogbg",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
+        "rng_seed": -2106912870,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "11": {
+        "framework": "pytorch",
+        "workload": "ogbg",
+        "dataset": "ogbg",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": 1081817396,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "12": {
+        "framework": "pytorch",
+        "workload": "wmt",
+        "dataset": "wmt",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
+        "rng_seed": -1925775617,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    },
+    "13": {
+        "framework": "pytorch",
+        "workload": "wmt",
+        "dataset": "wmt",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
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+    "14": {
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+        "workload": "wmt",
+        "dataset": "wmt",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
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+    "15": {
+        "framework": "pytorch",
+        "workload": "librispeech_deepspeech",
+        "dataset": "librispeech",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
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+        "tuning_ruleset": "self",
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+    },
+    "16": {
+        "framework": "pytorch",
+        "workload": "librispeech_deepspeech",
+        "dataset": "librispeech",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
+        "rng_seed": -343731362,
+        "tuning_ruleset": "self",
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+    "17": {
+        "framework": "pytorch",
+        "workload": "librispeech_deepspeech",
+        "dataset": "librispeech",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": -1409407453,
+        "tuning_ruleset": "self",
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+    "18": {
+        "framework": "pytorch",
+        "workload": "criteo1tb",
+        "dataset": "criteo1tb",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
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+    "19": {
+        "framework": "pytorch",
+        "workload": "criteo1tb",
+        "dataset": "criteo1tb",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
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+    "20": {
+        "framework": "pytorch",
+        "workload": "criteo1tb",
+        "dataset": "criteo1tb",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
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+    "21": {
+        "framework": "pytorch",
+        "workload": "librispeech_conformer",
+        "dataset": "librispeech",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
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+    "22": {
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+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
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+    "23": {
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+        "dataset": "librispeech",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
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+    "24": {
+        "framework": "pytorch",
+        "workload": "finewebedu_lm",
+        "dataset": "fineweb_edu_10B",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_0",
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+        "dataset": "fineweb_edu_10B",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_1",
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+    "26": {
+        "framework": "pytorch",
+        "workload": "finewebedu_lm",
+        "dataset": "fineweb_edu_10B",
+        "submission_path": "submissions_algorithms/submissions/self_tuning/ademamix/submission.py",
+        "experiment_dir": "submissions_a100/ademamix/study_2",
+        "rng_seed": 1058885013,
+        "tuning_ruleset": "self",
+        "num_tuning_trials": 1
+    }
+}