EXP_001_video-probe_s42: checkpoint step 2500

repro_check/experiments/EXP_001_video-probe_s42/best_model/meta.json

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repro_check/experiments/EXP_001_video-probe_s42/best_model/model.safetensors

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repro_check/experiments/EXP_001_video-probe_s42/checkpoints/LATEST.json

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repro_check/experiments/EXP_001_video-probe_s42/checkpoints/{step-0001500 → step-0002500}/meta.json

@@ -1,13 +1,13 @@
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repro_check/experiments/EXP_001_video-probe_s42/checkpoints/{step-0001500 → step-0002500}/training_state.pt

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repro_check/experiments/EXP_001_video-probe_s42/logs/pipeline.jsonl

@@ -43,3 +43,13 @@
 {"t": "2026-10-05T01:59:23Z", "level": "INFO", "event": "epoch_completed", "msg": "[epoch_completed] EXP_001 epoch 14/30 (epoch=14, step=1904, lr=0.0006011, train/v=0.07344, train/total=0.07344, val/v_loss=0.09226, val/loss=0.09226, val/video_auc=0.9184, val/video_f1@0.5=0.8992, val/clip_auc=0.8344, val/clip_f1@0.5=0.8483, val/mean_auc=0.9184, epoch_seconds=3.5, val_seconds=0.4, best=0.9209, improved=False)", "epoch": 14, "step": 1904, "lr": 0.000601077784345529, "train/v": 0.07343804261044544, "train/total": 0.07343804261044544, "val/v_loss": 0.09226229372951719, "val/loss": 0.09226229372951719, "val/video_auc": 0.9183809523809523, "val/video_f1@0.5": 0.8991825613079019, "val/clip_auc": 0.8344141252006421, "val/clip_f1@0.5": 0.8482587064676617, "val/mean_auc": 0.9183809523809523, "epoch_seconds": 3.5, "val_seconds": 0.4, "best": 0.9209333333333334, "improved": false}
 {"t": "2026-10-05T01:59:23Z", "level": "INFO", "event": "validation_completed", "msg": "[validation_completed] val/mean_auc=0.9183809523809523"}
 {"t": "2026-10-05T01:59:25Z", "level": "INFO", "event": "checkpoint_saved", "msg": "[checkpoint_saved] step 2000 (interval) (step=2000, epoch=14, mb=0.1)", "step": 2000, "epoch": 14, "mb": 0.1}
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+{"t": "2026-10-05T01:59:30Z", "level": "INFO", "event": "validation_completed", "msg": "[validation_completed] val/mean_auc=0.9218095238095237"}
+{"t": "2026-10-05T01:59:34Z", "level": "INFO", "event": "epoch_completed", "msg": "[epoch_completed] EXP_001 epoch 17/30 (epoch=17, step=2312, lr=0.0004382, train/v=0.06691, train/total=0.06691, val/v_loss=0.08274, val/loss=0.08274, val/video_auc=0.9192, val/video_f1@0.5=0.9181, val/clip_auc=0.8344, val/clip_f1@0.5=0.8844, val/mean_auc=0.9192, epoch_seconds=3.4, val_seconds=0.3, best=0.9218, improved=False)", "epoch": 17, "step": 2312, "lr": 0.0004382024095748487, "train/v": 0.06691134321119856, "train/total": 0.06691134321119856, "val/v_loss": 0.082743383737074, "val/loss": 0.082743383737074, "val/video_auc": 0.9191809523809523, "val/video_f1@0.5": 0.918075422626788, "val/clip_auc": 0.8344141252006421, "val/clip_f1@0.5": 0.8843861740166865, "val/mean_auc": 0.9191809523809523, "epoch_seconds": 3.4, "val_seconds": 0.3, "best": 0.9218095238095237, "improved": false}
+{"t": "2026-10-05T01:59:34Z", "level": "INFO", "event": "validation_completed", "msg": "[validation_completed] val/mean_auc=0.9191809523809523"}
+{"t": "2026-10-05T01:59:37Z", "level": "INFO", "event": "epoch_completed", "msg": "[epoch_completed] EXP_001 epoch 18/30 (epoch=18, step=2448, lr=0.0003847, train/v=0.06986, train/total=0.06986, val/v_loss=0.08153, val/loss=0.08153, val/video_auc=0.9219, val/video_f1@0.5=0.9133, val/clip_auc=0.8366, val/clip_f1@0.5=0.8802, val/mean_auc=0.9219, epoch_seconds=3.5, val_seconds=0.4, best=0.9219, improved=True)", "epoch": 18, "step": 2448, "lr": 0.00038465183999218097, "train/v": 0.06985811979564674, "train/total": 0.06985811979564674, "val/v_loss": 0.08153266852928533, "val/loss": 0.08153266852928533, "val/video_auc": 0.9218952380952381, "val/video_f1@0.5": 0.9133247089262613, "val/clip_auc": 0.8365971107544141, "val/clip_f1@0.5": 0.8801897983392646, "val/mean_auc": 0.9218952380952381, "epoch_seconds": 3.5, "val_seconds": 0.4, "best": 0.9218952380952381, "improved": true}
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repro_check/experiments/EXP_001_video-probe_s42/metrics/training_history.csv

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