Messis | W&B Run exp-6-background-loss-ignore-1 (https://wandb.ai/crop-classification/messis/runs/f2ar5h8v)

config.json

@@ -1,6 +1,6 @@
 {
   "hparams": {
-    "accumulate_grad_batches": 4,
+    "accumulate_grad_batches": 1,
     "backbone_weights_path": "./prithvi/models/Prithvi_100M.pt",
     "bands": [
       0,
@@ -10,20 +10,15 @@
       4,
       5
     ],
-    "batch_size": 4,
+    "batch_size": 16,
     "bottleneck_reduction_factor": 8,
-    "data_augmentation": {
-      "enabled": true,
-      "flip_prob": 0.5,
-      "jitter_std": 0
-    },
     "debug": false,
     "dropout_p": 0.1,
     "early_stopping_metric": "val_f1_tier3_majority",
     "early_stopping_mode": "max",
     "early_stopping_patience": 10,
-    "experiment_group": "exp-5-data-augmentation",
-    "experiment_name": "exp-5-data-augmentation-f-0.5-j-0",
+    "experiment_group": "exp-6-background-loss",
+    "experiment_name": "exp-6-background-loss-ignore",
     "freeze_backbone": true,
     "heads_spec": {
       "tier1": {
@@ -61,9 +56,10 @@
       }
     },
     "img_size": 224,
+    "loss_ignore_background": true,
     "lr": 0.001,
     "max_epochs": 400,
-    "name": "f-0.5-j-0",
+    "name": "ignore",
     "num_frames": 3,
     "optimizer": "Adam",
     "optimizer_momentum": null,
@@ -73,14 +69,14 @@
       5
     ],
     "train_folds": [
-      1,
+      0,
       2,
       3,
       4
     ],
     "use_bottleneck_neck": false,
     "val_folds": [
-      0
+      1
     ]
   }
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b7d02ffb0b57e9fbab2ac4d234e4711ffded7e3a0c744648308bfbce3eb8f27e
 size 713880940