Publish actual YOLOv7-tiny deadline checkpoint (171 complete epochs); val epoch 171: mAP50 55.12%, mAP50-95 41.99%

BEST_CHECKPOINT.json

@@ -1,9 +1,9 @@
 {
-  "evaluated_epoch_one_based": 166,
-  "precision": 0.698,
-  "recall": 0.4639,
-  "map50": 0.5392,
-  "map5095": 0.4087,
+  "evaluated_epoch_one_based": 171,
+  "precision": 0.6104,
+  "recall": 0.5539,
+  "map50": 0.5512,
+  "map5095": 0.4199,
   "selection": "YOLOv7 fitness = 0.1*mAP50 + 0.9*mAP5095",
-  "sha256": "ff96c655a727d04cec3b55671f05330c4bdfff8fd4bd0d7f015b2a720e44b6ce"
+  "sha256": "dbea3e80520a6af3d734b5d26c7795e9764315dc28135b8e4c3949127ceb9529"
 }

BEST_LIBRARY_COMPATIBILITY.json

@@ -1,21 +1,21 @@
 {
   "library": "https://github.com/MCCbena/yolov7-tiny-lib",
   "library_commit": "8a4fcbd775b0f39b24edd0c36ca85894836c6c75",
-  "sha256": "ff96c655a727d04cec3b55671f05330c4bdfff8fd4bd0d7f015b2a720e44b6ce",
+  "sha256": "dbea3e80520a6af3d734b5d26c7795e9764315dc28135b8e4c3949127ceb9529",
   "torch_version": "2.0.1+cu118",
   "classes": 35,
   "tests": [
     {
       "device": "cpu",
       "trace": false,
-      "detections": 25,
-      "elapsed_seconds": 1.3791329910018248
+      "detections": 24,
+      "elapsed_seconds": 1.092113081998832
     },
     {
       "device": "cpu",
       "trace": true,
-      "detections": 25,
-      "elapsed_seconds": 4.235487871999794
+      "detections": 24,
+      "elapsed_seconds": 4.189839029000723
     }
   ],
   "scope": "Loading, finite model outputs, tracing, NMS, class names and bbox format; not accuracy evaluation."

LIBRARY_COMPATIBILITY.json

@@ -1,21 +1,21 @@
 {
   "library": "https://github.com/MCCbena/yolov7-tiny-lib",
   "library_commit": "8a4fcbd775b0f39b24edd0c36ca85894836c6c75",
-  "sha256": "2df4a059958bea61698e931e83dc0e4425a4ad1af058dfcaffa79876f38e8eb1",
+  "sha256": "d6b355e80e7c69fcaee0a1c302a8847a3ec3ba068c6bc9c21e8a0246a6576e45",
   "torch_version": "2.0.1+cu118",
   "classes": 35,
   "tests": [
     {
       "device": "cpu",
       "trace": false,
-      "detections": 25,
-      "elapsed_seconds": 1.1431001539967838
+      "detections": 24,
+      "elapsed_seconds": 1.0777030550016207
     },
     {
       "device": "cpu",
       "trace": true,
-      "detections": 25,
-      "elapsed_seconds": 3.986770196002908
+      "detections": 24,
+      "elapsed_seconds": 4.213014884000586
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   ],
   "scope": "Loading, finite model outputs, tracing, NMS, class names and bbox format; not accuracy evaluation."

README.md

@@ -17,7 +17,7 @@ MCCbena's **YOLOv7-tiny**, fine-tuned for 35 classes using the local `open-image
 
 ## Recommended inference checkpoint
 
-Recommended for inference: [best.pt](./best.pt), validation epoch 166, mAP@0.5 53.92%, mAP@0.5:0.95 40.87%. It is selected by the upstream fitness score; [last.pt](./last.pt) remains the latest resumable checkpoint.
+Recommended for inference: [best.pt](./best.pt), validation epoch 171, mAP@0.5 55.12%, mAP@0.5:0.95 41.99%. It is selected by the upstream fitness score; [last.pt](./last.pt) remains the latest resumable checkpoint.
 
 ## Supplemental data
 
@@ -37,21 +37,21 @@ From epoch 162, a controlled refinement uses 0.3× the baseline learning-rate sc
 
 ## Latest checkpoint
 
-Download [last.pt](./last.pt). Training is scheduled to run for **300 epochs without a clock-time cutoff**. This checkpoint contains 167 complete epochs. See [checkpoint.json](./checkpoint.json) for progress, size, and SHA-256. A partial epoch is explicitly marked and must not be counted as a completed epoch. This file replaces the previous standard-YOLOv7 release; that previous file remains in repository history.
+Download [last.pt](./last.pt). Training is scheduled to run for **300 epochs without a clock-time cutoff**. This checkpoint contains 171 complete epochs. See [checkpoint.json](./checkpoint.json) for progress, size, and SHA-256. A partial epoch is explicitly marked and must not be counted as a completed epoch. This file replaces the previous standard-YOLOv7 release; that previous file remains in repository history.
 
 Architecture: `cfg/training/yolov7-tiny.yaml`. Initial weights: upstream `yolov7-tiny.pt` (pretrained), not an empty weights argument. Input: 640×640, batch size 128, workers 8, GPU 0. Hyperparameters: `data/hyp.scratch.tiny.yaml`. Mixed precision, pinned memory, and RAM image caching where memory permits are used to accelerate training; data augmentation, resolution, and validation are preserved. Dynamic-K OTA target matching is calculated across the batch, with the reference implementation retained as a fallback for dense inputs; comparison tests confirmed equal losses and gradients. RAM caching is capped at 34 GB and uncached images are loaded normally. The initial requested epoch count is recorded in [opt.yaml](./opt.yaml); final publication follows successful completion of the requested epochs.
 
 ## 検証精度 / Validation metrics
 
-直近の検証済みエポック: **第167エポック**（ログ表記 `166/299` は0始まり）。記録更新: 2026-10-05T13:02:27+09:00。
+直近の検証済みエポック: **第171エポック**（ログ表記 `170/299` は0始まり）。記録更新: 2026-10-05T13:17:30+09:00。
 検証画像 **1,181枚**、**35クラス全体**の集計値です。
 
 | 指標 / Metric | 値 / Value |
 | --- | ---: |
-| mAP@0.5 | **53.89%** |
-| mAP@0.5:0.95 | **40.78%** |
-| Precision / 適合率 | 58.19% |
-| Recall / 再現率 | 55.71% |
+| mAP@0.5 | **55.12%** |
+| mAP@0.5:0.95 | **41.99%** |
+| Precision / 適合率 | 61.04% |
+| Recall / 再現率 | 55.39% |
 
 学習は途中です。これらは直近の完了した検証の値であり、途中保存した `last.pt` の精度を直接測定した値とは限りません。
 Latest completed validation metrics; a partial checkpoint may contain later updates. These are internal validation results, not an independent commercial deployment evaluation.

VALIDATION_LATEST.json

@@ -1,50 +1,50 @@
 {
-  "epoch_one_based": 167,
-  "precision": 0.581893724644733,
-  "recall": 0.5571469927942083,
-  "map50": 0.5388714624132387,
-  "map5095": 0.4077989643512109,
+  "epoch_one_based": 171,
+  "precision": 0.6103956538393549,
+  "recall": 0.5539049130899087,
+  "map50": 0.5511685286781379,
+  "map5095": 0.4198685229474976,
   "learning_rates": [
-    0.0012826948194152577,
-    0.0012826948194152577,
-    0.0012826948194152577
+    0.0012214788495369976,
+    0.0012214788495369976,
+    0.0012214788495369976
   ],
   "refinement_enabled": true,
   "per_class_map5095": {
-    "Screwdriver": 0.0705417274661803,
+    "Screwdriver": 0.07332396450120647,
     "Scissors": 0.0,
     "Hammer": 0.0,
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+    "Wrench": 0.17415625,
     "Drill (Tool)": 0.0,
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-    "Ratchet (Device)": 0.4077989643512109,
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-    "Mobile phone": 0.7812941884005122,
-    "Laptop": 0.6473468664595728,
-    "Computer keyboard": 0.6392488654082155,
-    "Computer mouse": 0.6912588429393713,
-    "Computer monitor": 0.5336828311641668,
-    "Tablet computer": 0.5105201114120362,
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-    "Printer": 0.49740335265437013,
-    "Remote control": 0.7742030214718789,
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-    "Goggles": 0.44230463089784877,
-    "Book": 0.2397615575903898,
-    "Backpack": 0.49781491515412724,
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+    "Chisel": 0.02124355400696864,
+    "Ratchet (Device)": 0.4198685229474976,
+    "Flashlight": 0.22393788819875776,
+    "Pen": 0.39363556316961995,
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+    "Pencil sharpener": 0.4198685229474976,
+    "Ring binder": 0.4198685229474976,
+    "Envelope": 0.6832335497835498,
+    "Bottle": 0.35935139944304484,
+    "Coffee cup": 0.8180165629878449,
+    "Box": 0.3710072447155529,
+    "Mobile phone": 0.7805411081936735,
+    "Laptop": 0.6478373841794143,
+    "Computer keyboard": 0.6389273313178027,
+    "Computer mouse": 0.69917255575903,
+    "Computer monitor": 0.5399331180725603,
+    "Tablet computer": 0.52228028401529,
+    "Headphones": 0.4087952992478539,
+    "Printer": 0.5090557324847927,
+    "Remote control": 0.7758273564826962,
+    "Glove": 0.2564482085759444,
+    "Goggles": 0.44577565181121803,
+    "Book": 0.2413142566647836,
+    "Backpack": 0.4993958648437674,
+    "Handbag": 0.5215145333115289
   }
 }

best.pt

@@ -1,3 +1,3 @@
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-size 49392749
+oid sha256:dbea3e80520a6af3d734b5d26c7795e9764315dc28135b8e4c3949127ceb9529
+size 49393517

checkpoint.json

@@ -1,13 +1,13 @@
 {
   "file": "last.pt",
-  "bytes": 49392877,
-  "sha256": "2df4a059958bea61698e931e83dc0e4425a4ad1af058dfcaffa79876f38e8eb1",
-  "epoch_zero_based": 166,
-  "completed_epochs": 167,
+  "bytes": 49393517,
+  "sha256": "d6b355e80e7c69fcaee0a1c302a8847a3ec3ba068c6bc9c21e8a0246a6576e45",
+  "epoch_zero_based": 170,
+  "completed_epochs": 171,
   "deadline_metadata": {
     "epoch_complete": true,
     "batch_size": 128,
-    "saved_at_unix": 1791172721.3945935,
+    "saved_at_unix": 1791173804.1753395,
     "deadline_unix": 253402214400.0
   },
   "architecture": "YOLOv7-tiny",
@@ -29,14 +29,14 @@
     "checkpoint_saved_before_integration": false
   },
   "validation_metrics": {
-    "evaluated_epoch_one_based": 167,
-    "precision": 0.5819,
-    "recall": 0.5571,
-    "map_at_0_5": 0.5389,
-    "map_at_0_5_to_0_95": 0.4078,
+    "evaluated_epoch_one_based": 171,
+    "precision": 0.6104,
+    "recall": 0.5539,
+    "map_at_0_5": 0.5512,
+    "map_at_0_5_to_0_95": 0.4199,
     "validation_images": 1181,
     "classes": 35,
-    "publication_recorded_at_jst": "2026-10-05T13:02:27+09:00",
+    "publication_recorded_at_jst": "2026-10-05T13:17:30+09:00",
     "scope": "latest completed validation; may differ from partial checkpoint"
   }
 }

last.pt

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+size 49393517

results.txt

@@ -165,3 +165,7 @@
    164/299     18.8G   0.03159   0.01192   0.00383   0.04734       163       640    0.7027    0.4593    0.5352    0.4052   0.04707   0.01819   0.01071
    165/299     2.93G   0.03128   0.01193  0.003695    0.0469       225       640     0.698    0.4639    0.5392    0.4087     0.047   0.01821   0.01072
    166/299     20.9G   0.03161   0.01187  0.003801   0.04728       234       640    0.5819    0.5571    0.5389    0.4078   0.04693   0.01823   0.01074
+   167/299     27.9G   0.03161    0.0119  0.003715   0.04723       185       640    0.6366    0.5255    0.5477    0.4165   0.04687   0.01826   0.01074
+   168/299     27.9G   0.03146   0.01183  0.003671   0.04697       219       640    0.6438    0.5226    0.5502    0.4186    0.0468   0.01828   0.01078
+   169/299     27.9G   0.03147   0.01183  0.003658   0.04695       223       640    0.6439    0.5259    0.5514    0.4198   0.04676    0.0183   0.01082
+   170/299     27.9G   0.03128   0.01179  0.003614   0.04668       178       640    0.6104    0.5539    0.5512    0.4199   0.04669   0.01832   0.01087

training-source.tar.gz

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 size 133159