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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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yolov8_bebidas_gas/runs/detect/train/args.yaml

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+task: detect
+mode: train
+model: yolov8s.yaml
+data: /content/datasets/bebidas_gas-23/data.yaml
+epochs: 25
+patience: 50
+batch: 8
+imgsz: 800
+save: true
+cache: false
+device: ''
+workers: 8
+project: null
+name: null
+exist_ok: false
+pretrained: false
+optimizer: SGD
+verbose: true
+seed: 0
+deterministic: true
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+cos_lr: false
+close_mosaic: 10
+resume: false
+overlap_mask: true
+mask_ratio: 4
+dropout: false
+val: true
+save_json: false
+save_hybrid: false
+conf: 0.001
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: ultralytics/assets/
+show: false
+save_txt: false
+save_conf: false
+save_crop: false
+hide_labels: false
+hide_conf: false
+vid_stride: 1
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+agnostic_nms: false
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+boxes: true
+format: torchscript
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+warmup_epochs: 3.0
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+warmup_bias_lr: 0.1
+box: 7.5
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+save_dir: runs/detect/train

yolov8_bebidas_gas/runs/detect/train/events.out.tfevents.1689928467.8760380b2658.5125.0

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yolov8_bebidas_gas/runs/detect/train/model_artifacts.json

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yolov8_bebidas_gas/runs/detect/train/results.csv

@@ -0,0 +1,26 @@
+                  epoch,         train/box_loss,         train/cls_loss,         train/dfl_loss,   metrics/precision(B),      metrics/recall(B),       metrics/mAP50(B),    metrics/mAP50-95(B),           val/box_loss,           val/cls_loss,           val/dfl_loss,                 lr/pg0,                 lr/pg1,                 lr/pg2
+                      0,                 1.7678,                 3.1462,                 1.5371,                0.55031,                0.40879,                0.36797,                0.21975,                 1.4388,                 1.7381,                 1.2809,               0.070059,              0.0033268,              0.0033268
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+                     14,                 1.2409,                0.79128,                 1.1831,                0.56512,                  0.645,                0.57934,                0.38367,                 1.2011,                 1.1491,                 1.1674,               0.004852,               0.004852,               0.004852
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