Upload progressive training run for yolov12l

.gitattributes

@@ -132,3 +132,15 @@ runs/yolov12l/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
 runs/yolov12l/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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 runs/yolov12l/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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yolov12l/args.yaml

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+task: detect
+mode: train
+model: yolov12l.pt
+data: /kaggle/input/brisc-yolo/data.yaml
+epochs: 100
+time: null
+patience: 20
+batch: 4
+imgsz: 512
+save: true
+save_period: -1
+cache: false
+device: 0
+workers: 4
+project: null
+name: train2
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: false
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: true
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: 8
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
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+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
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+save_txt: false
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+show_labels: true
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+format: torchscript
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+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.001
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+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.0
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
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+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: /kaggle/working/yolov12/runs/detect/train2

yolov12l/events.out.tfevents.1760460409.6e7092ed0a9a.19.1

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yolov12l/hparams_progressive.json

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+{
+  "model": "yolov12l.pt",
+  "base_args": {
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+    "imgsz": 512,
+    "batch": 4,
+    "patience": 20,
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+    "lrf": 0.01,
+    "device": 0,
+    "workers": 4,
+    "optimizer": "auto",
+    "verbose": false
+  },
+  "stages": [
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+      "epochs": 50,
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+      "lr0": 0.01
+    },
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+  ]
+}

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