Upload results/autonomous_research.json with huggingface_hub

results/autonomous_research.json

@@ -0,0 +1,494 @@
+{
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+    "baseline": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "baseline",
+      "description": "Original GraphSAGE with hidden_dim=64, 3 layers",
+      "instance_id": 34808397,
+      "gpu_info": "",
+      "metrics": {},
+      "exit_code": -1,
+      "error": "SSH never became ready",
+      "duration_seconds": 0.0,
+      "timestamp": "2026-04-13T04:21:17.081828+00:00"
+    },
+    "gat_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "gat_architecture",
+      "description": "Replace GraphSAGE with GAT architecture",
+      "instance_id": 34808408,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi        37Gi       305Gi        41Gi       161Gi       420Gi\nModel name:                              AMD EPYC 7663 56-Core Processor",
+      "metrics": {},
+      "exit_code": 124,
+      "error": "Training failed (exit 124): STDERR: Timed out after 1200s\nSTDOUT(tail): ",
+      "duration_seconds": 1200.1004507119942,
+      "timestamp": "2026-04-13T04:21:17.082504+00:00"
+    },
+    "gin_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "gin_architecture",
+      "description": "Replace GraphSAGE with GIN architecture",
+      "instance_id": 34808415,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       5.0Gi        30Gi        17Mi       468Gi       494Gi\nModel name:                         AMD Ryzen Threadripper PRO 3955WX 16-Cores",
+      "metrics": {
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+        "val_mse": 67.891,
+        "val_r2": 0.6363,
+        "best_val_loss": 67.8222,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 380.80868418799946,
+      "timestamp": "2026-04-13T04:21:17.082525+00:00"
+    },
+    "increased_hidden_dim": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "increased_hidden_dim",
+      "description": "Increase hidden dimension to 128",
+      "instance_id": 34808431,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           251Gi        11Gi        87Gi       5.4Gi       152Gi       232Gi\nModel name:                         AMD EPYC 7542 32-Core Processor",
+      "metrics": {
+        "val_mae": 4.6854,
+        "val_mse": 68.5857,
+        "val_r2": 0.6326,
+        "best_val_loss": 68.5928,
+        "conv_type": "SAGE",
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+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 393.59905821799475,
+      "timestamp": "2026-04-13T04:21:17.082536+00:00"
+    },
+    "add_dropout": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "add_dropout",
+      "description": "Add 0.5 dropout to prevent overfitting",
+      "instance_id": 34808439,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       9.4Gi       344Gi        43Mi       149Gi       486Gi\nModel name:                           AMD EPYC 7B13 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.7114,
+        "val_mse": 68.233,
+        "val_r2": 0.6345,
+        "best_val_loss": 68.2024,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 370.16381801999523,
+      "timestamp": "2026-04-13T04:21:17.082544+00:00"
+    },
+    "weight_decay_regularization": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "weight_decay_regularization",
+      "description": "Apply L2 weight decay of 1e-5",
+      "instance_id": 34808448,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi        61Gi       176Gi        90Mi       265Gi       437Gi\nModel name:                           AMD EPYC 7713 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.9619,
+        "val_mse": 68.2378,
+        "val_r2": 0.6345,
+        "best_val_loss": 68.2068,
+        "conv_type": "SAGE",
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+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 1015.0197936969926,
+      "timestamp": "2026-04-13T04:21:17.082551+00:00"
+    },
+    "deeper_network": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "deeper_network",
+      "description": "Increase number of layers to 5",
+      "instance_id": 34808458,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           566Gi        23Gi       136Gi        99Mi       406Gi       537Gi\nModel name:                              AMD EPYC 7763 64-Core Processor",
+      "metrics": {
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+        "val_mse": 68.381,
+        "val_r2": 0.6337,
+        "best_val_loss": 68.379,
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+        "num_layers": 3,
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+        "epochs": 50
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+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 828.7385086470022,
+      "timestamp": "2026-04-13T04:21:17.082557+00:00"
+    },
+    "gcn_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter0",
+      "arm_name": "gcn_architecture",
+      "description": "Replace GraphSAGE with GCN architecture",
+      "instance_id": 34808465,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           377Gi       6.2Gi       313Gi       2.0Gi        57Gi       366Gi\nModel name:                              AMD EPYC 7763 64-Core Processor",
+      "metrics": {
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+        "val_mse": 67.6559,
+        "val_r2": 0.6376,
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+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 375.6555423039972,
+      "timestamp": "2026-04-13T04:21:17.082563+00:00"
+    }
+  },
+  "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1": {
+    "baseline": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "baseline",
+      "description": "Original GraphSAGE with hidden_dim=64, 3 layers",
+      "instance_id": 34811219,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           1.0Ti       157Gi       411Gi        42Gi       438Gi       801Gi\nModel name:                      AMD EPYC 7B13 64-Core Processor",
+      "metrics": {
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+        "val_mse": 68.5374,
+        "val_r2": 0.6329,
+        "best_val_loss": 68.4501,
+        "conv_type": "SAGE",
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+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 909.888803438007,
+      "timestamp": "2026-04-13T05:01:51.629069+00:00"
+    },
+    "gcn_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "gcn_architecture",
+      "description": "Replace GraphSAGE with GCN architecture",
+      "instance_id": 34811227,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           251Gi       137Gi        29Gi       160Mi        84Gi       110Gi\nModel name:                              AMD EPYC 7B12 64-Core Processor",
+      "metrics": {
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+        "val_mse": 68.2119,
+        "val_r2": 0.6346,
+        "best_val_loss": 68.1825,
+        "conv_type": "SAGE",
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+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 400.41222775599454,
+      "timestamp": "2026-04-13T05:01:51.629639+00:00"
+    },
+    "gat_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "gat_architecture",
+      "description": "Replace GraphSAGE with GAT architecture",
+      "instance_id": 34811231,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       175Gi        61Gi        15Gi       267Gi       308Gi\nModel name:                      AMD EPYC 7443P 24-Core Processor",
+      "metrics": {
+        "val_mae": 4.7884,
+        "val_mse": 67.7432,
+        "val_r2": 0.6371,
+        "best_val_loss": 67.6519,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 350.0156822659919,
+      "timestamp": "2026-04-13T05:01:51.629655+00:00"
+    },
+    "graphconv_architecture": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "graphconv_architecture",
+      "description": "Replace GraphSAGE with GraphConv architecture",
+      "instance_id": 34811234,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       3.6Gi       378Gi        27Mi       121Gi       495Gi\nModel name:                         AMD EPYC 7282 16-Core Processor",
+      "metrics": {
+        "val_mae": 4.6766,
+        "val_mse": 68.8789,
+        "val_r2": 0.631,
+        "best_val_loss": 68.8231,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 502.6296168830013,
+      "timestamp": "2026-04-13T05:01:51.629665+00:00"
+    },
+    "increased_hidden_dim_128": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "increased_hidden_dim_128",
+      "description": "Increase hidden dimension to 128",
+      "instance_id": 34811238,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           141Gi       6.5Gi        98Gi       9.0Mi        36Gi       133Gi\nModel name:                              AMD Ryzen Threadripper 7970X 32-Cores",
+      "metrics": {},
+      "exit_code": 124,
+      "error": "Training failed (exit 124): STDERR: Timed out after 1200s\nSTDOUT(tail): ",
+      "duration_seconds": 1200.1015126279963,
+      "timestamp": "2026-04-13T05:01:51.629672+00:00"
+    },
+    "layer_norm": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "layer_norm",
+      "description": "Add layer normalization to all layers",
+      "instance_id": 34811240,
+      "gpu_info": "",
+      "metrics": {},
+      "exit_code": -1,
+      "error": "SSH never became ready",
+      "duration_seconds": 0.0,
+      "timestamp": "2026-04-13T05:01:51.629679+00:00"
+    },
+    "cosine_annealing_lr": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "cosine_annealing_lr",
+      "description": "Use cosine annealing learning rate scheduler",
+      "instance_id": 34811246,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           566Gi        27Gi       130Gi       153Mi       408Gi       532Gi\nModel name:                              AMD EPYC 7763 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.7982,
+        "val_mse": 68.5735,
+        "val_r2": 0.6327,
+        "best_val_loss": 68.4313,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 813.3919767069892,
+      "timestamp": "2026-04-13T05:01:51.629686+00:00"
+    },
+    "huber_loss": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter1",
+      "arm_name": "huber_loss",
+      "description": "Use Huber loss instead of MAE",
+      "instance_id": 34811249,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi        16Gi       181Gi       216Mi       305Gi       483Gi\nModel name:                           AMD EPYC 7K62 48-Core Processor",
+      "metrics": {
+        "val_mae": 4.6219,
+        "val_mse": 67.9053,
+        "val_r2": 0.6363,
+        "best_val_loss": 67.8528,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 874.0376284039958,
+      "timestamp": "2026-04-13T05:01:51.629692+00:00"
+    }
+  },
+  "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2": {
+    "baseline": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "baseline",
+      "description": "Original GraphSAGE with hidden_dim=64, 3 layers",
+      "instance_id": 34814450,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 23028 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           251Gi        61Gi       134Gi        59Mi        54Gi       186Gi\nModel name:                           AMD EPYC 7763 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.6946,
+        "val_mse": 68.3496,
+        "val_r2": 0.6339,
+        "best_val_loss": 68.2476,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 709.6051656240015,
+      "timestamp": "2026-04-13T05:38:00.797679+00:00"
+    },
+    "gat_with_residuals": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "gat_with_residuals",
+      "description": "Replace GraphSAGE with GAT architecture using residual connections",
+      "instance_id": 34814455,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           1.0Ti       152Gi       415Gi        41Gi       440Gi       807Gi\nModel name:                      AMD EPYC 7B13 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.757,
+        "val_mse": 68.4555,
+        "val_r2": 0.6333,
+        "best_val_loss": 68.3975,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 964.3877903920074,
+      "timestamp": "2026-04-13T05:38:00.798298+00:00"
+    },
+    "graphconv_with_skip": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "graphconv_with_skip",
+      "description": "Use GraphConv with skip connections between layers",
+      "instance_id": 34814464,
+      "gpu_info": "",
+      "metrics": {},
+      "exit_code": -1,
+      "error": "SSH never became ready",
+      "duration_seconds": 0.0,
+      "timestamp": "2026-04-13T05:38:00.798315+00:00"
+    },
+    "increased_batch_size": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "increased_batch_size",
+      "description": "Increase training batch size from 32 to 128",
+      "instance_id": 34814466,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       175Gi        57Gi        15Gi       270Gi       307Gi\nModel name:                      AMD EPYC 7443P 24-Core Processor",
+      "metrics": {
+        "val_mae": 4.7165,
+        "val_mse": 68.0826,
+        "val_r2": 0.6353,
+        "best_val_loss": 67.9794,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 347.20319185500557,
+      "timestamp": "2026-04-13T05:38:00.798324+00:00"
+    },
+    "warmup_cosine_lr": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "warmup_cosine_lr",
+      "description": "Use cosine annealing with warmup for learning rate scheduling",
+      "instance_id": 34814467,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       175Gi        56Gi        15Gi       271Gi       308Gi\nModel name:                      AMD EPYC 7443P 24-Core Processor",
+      "metrics": {},
+      "exit_code": -1,
+      "error": "Git clone failed: fatal: destination path '/workspace/experiment' already exists and is not an empty directory.\n",
+      "duration_seconds": 0.0,
+      "timestamp": "2026-04-13T05:38:00.798331+00:00"
+    },
+    "adamw_optimizer": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "adamw_optimizer",
+      "description": "Use AdamW optimizer instead of Adam",
+      "instance_id": 34814475,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi       127Gi       115Gi        15Gi       260Gi       353Gi\nModel name:                      AMD EPYC 7532 32-Core Processor",
+      "metrics": {
+        "val_mae": 4.714,
+        "val_mse": 67.8806,
+        "val_r2": 0.6364,
+        "best_val_loss": 67.8202,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 417.01239075099875,
+      "timestamp": "2026-04-13T05:38:00.798338+00:00"
+    },
+    "layer_norm_after_activation": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "layer_norm_after_activation",
+      "description": "Apply layer normalization after activation in GNN layers",
+      "instance_id": 34814489,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           251Gi        11Gi        17Gi       5.4Gi       223Gi       232Gi\nModel name:                         AMD EPYC 7542 32-Core Processor",
+      "metrics": {
+        "val_mae": 4.8022,
+        "val_mse": 67.5635,
+        "val_r2": 0.6381,
+        "best_val_loss": 67.5075,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 396.3442929920129,
+      "timestamp": "2026-04-13T05:38:00.798344+00:00"
+    },
+    "multi_head_gat": {
+      "experiment": "research-comparing-gnn-architectures-gcn-sage-gat-gin-graphconv-for-p-iter2",
+      "arm_name": "multi_head_gat",
+      "description": "Use multi-head GAT with 8 attention heads",
+      "instance_id": 34814494,
+      "gpu_info": "NVIDIA GeForce RTX 4090, 24564 MiB, 1, 16\n---\n               total        used        free      shared  buff/cache   available\nMem:           503Gi        58Gi       169Gi        79Mi       274Gi       439Gi\nModel name:                           AMD EPYC 7713 64-Core Processor",
+      "metrics": {
+        "val_mae": 4.7207,
+        "val_mse": 67.6547,
+        "val_r2": 0.6376,
+        "best_val_loss": 67.5544,
+        "conv_type": "SAGE",
+        "hidden_dim": 64,
+        "num_layers": 3,
+        "dropout": 0.1,
+        "learning_rate": 0.001,
+        "epochs": 50
+      },
+      "exit_code": 0,
+      "error": "",
+      "duration_seconds": 1016.0155797129992,
+      "timestamp": "2026-04-13T05:38:00.798351+00:00"
+    }
+  }
+}