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best_model_meta.json

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+{
+  "epoch": 21,
+  "best_val_abs_rel": 0.042236835304855794,
+  "val_metrics": {
+    "delta_1": 0.989554378748332,
+    "delta_2": 0.9994373860690633,
+    "delta_3": 0.9997631200361309,
+    "mae": 0.2768656464361127,
+    "abs_rel": 0.042236835304855794,
+    "rmse": 0.8952876376709299,
+    "silog": 5.397718758848051,
+    "irmse": 0.026064352255428216,
+    "sq_rel": 0.037082648370558156,
+    "edge_acc": 0.7190944937264002,
+    "edge_comp": 0.955634102179403
+  },
+  "train_metrics": {
+    "delta_1": 0.9994812954017154,
+    "delta_2": 0.9998845525112527,
+    "delta_3": 0.9999645969370392,
+    "mae": 0.0706656874868221,
+    "abs_rel": 0.01110434976654682,
+    "rmse": 0.29349852771584883,
+    "silog": 1.6963183294954924,
+    "irmse": 0.00654095995599858,
+    "sq_rel": 0.004126387913210151,
+    "edge_acc": 0.2809984014340394,
+    "edge_comp": 1.2239414760789735
+  },
+  "args": {
+    "base_dir": "/dl_scratch2/aytac/dav2_finetuning",
+    "data_root": "/dl_scratch2/aytac/lusnar-dataset",
+    "pretrained": "/dl_scratch2/aytac/depth_estimation_models/DepthAnythingV2/Depth-Anything-V2/metric_depth/checkpoints/depth_anything_v2_metric_vkitti_vitl.pth",
+    "results_dir": "/dl_scratch2/aytac/dav2_finetuning/results",
+    "run_name": "lora_exp1_lr5e5_wd1e2_r8_a16",
+    "input_size": 518,
+    "max_depth": 50.0,
+    "finetune_mode": "lora",
+    "lora_rank": 8,
+    "lora_alpha": 16.0,
+    "lora_dropout": 0.0,
+    "batch_size": 0,
+    "batch_size_max": 128,
+    "batch_size_min": 2,
+    "val_batch_size": 1,
+    "workers": 8,
+    "epochs": 80,
+    "lr": 5e-05,
+    "weight_decay": 0.01,
+    "warmup_epochs": 2,
+    "min_lr": 1e-06,
+    "silog_lambda": 0.5,
+    "silog_weight": 1.0,
+    "grad_weight": 1.0,
+    "early_stop_patience": 10,
+    "seed": 42,
+    "print_freq": 20,
+    "save_every": 1
+  }
+}