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{"run_id": "hf4264-240723_0208-devofu", "run_path": "../demos/local/iris-demo/runs/hf4264-240723_0208-devofu", "syllabic_id": "devofu", "group": "", "project": "iris-demo", "run_init_timestamp": "2024-07-23T02:08:47.304338", "metric_names": ["train/loss", "train/acc", "val/loss", "val/acc", "cpu/percent", "ram/used", "ram/percent", "gpu:0/load", "gpu:0/memory_used", "gpu:0/temperature"], "train_config": {"model": "DNN(\n  (net): Sequential(\n    (0): Linear(in_features=4, out_features=10, bias=True)\n    (1): ReLU()\n    (2): Linear(in_features=10, out_features=3, bias=True)\n    (3): Softmax(dim=1)\n  )\n)", "dataset": "iris", "optimizer": "Adam (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    differentiable: False\n    eps: 1e-08\n    foreach: None\n    fused: None\n    lr: 0.001\n    maximize: False\n    weight_decay: 0\n)", "criterion": "CrossEntropyLoss()"}}
{"run_id": "hf4264-240723_0210-tefumu", "run_path": "../demos/local/iris-demo/runs/hf4264-240723_0210-tefumu", "syllabic_id": "tefumu", "group": "", "project": "iris-demo", "run_init_timestamp": "2024-07-23T02:10:28.554321", "metric_names": ["train/loss", "train/acc", "val/loss", "val/acc", "cpu/percent", "ram/used", "ram/percent", "gpu:0/load", "gpu:0/memory_used", "gpu:0/temperature"], "train_config": {"model": "DNN(\n  (net): Sequential(\n    (0): Linear(in_features=4, out_features=10, bias=True)\n    (1): ReLU()\n    (2): Linear(in_features=10, out_features=3, bias=True)\n    (3): Softmax(dim=1)\n  )\n)", "dataset": "iris", "optimizer": "Adam (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    differentiable: False\n    eps: 1e-08\n    foreach: None\n    fused: None\n    lr: 0.001\n    maximize: False\n    weight_decay: 0\n)", "criterion": "CrossEntropyLoss()"}}
{"run_id": "hf4264-240723_1423-yujora", "run_path": "../demos/local/iris-demo/runs/hf4264-240723_1423-yujora", "syllabic_id": "yujora", "group": "", "project": "iris-demo", "run_init_timestamp": "2024-07-23T14:23:13.437786", "metric_names": ["train/loss", "train/acc", "val/loss", "val/acc", "cpu/percent", "ram/used", "ram/percent", "gpu:0/load", "gpu:0/memory_used", "gpu:0/temperature"], "train_config": {"model": "DNN(\n  (net): Sequential(\n    (0): Linear(in_features=4, out_features=10, bias=True)\n    (1): ReLU()\n    (2): Linear(in_features=10, out_features=3, bias=True)\n    (3): Softmax(dim=1)\n  )\n)", "dataset": "iris", "optimizer": "Adam (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    differentiable: False\n    eps: 1e-08\n    foreach: None\n    fused: None\n    lr: 0.001\n    maximize: False\n    weight_decay: 0\n)", "criterion": "CrossEntropyLoss()"}}
{"run_id": "hf4264-240723_1424-fenuta", "run_path": "../demos/local/iris-demo/runs/hf4264-240723_1424-fenuta", "syllabic_id": "fenuta", "group": "", "project": "iris-demo", "run_init_timestamp": "2024-07-23T14:24:57.171051", "metric_names": ["train/loss", "train/acc", "val/loss", "val/acc", "cpu/percent", "ram/used", "ram/percent", "gpu:0/load", "gpu:0/memory_used", "gpu:0/temperature"], "train_config": {"model": "DNN(\n  (net): Sequential(\n    (0): Linear(in_features=4, out_features=10, bias=True)\n    (1): ReLU()\n    (2): Linear(in_features=10, out_features=3, bias=True)\n    (3): Softmax(dim=1)\n  )\n)", "dataset": "iris", "optimizer": "Adam (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    differentiable: False\n    eps: 1e-08\n    foreach: None\n    fused: None\n    lr: 0.001\n    maximize: False\n    weight_decay: 0\n)", "criterion": "CrossEntropyLoss()"}}
