Upload logs/rmvpe_ft/rmvpe_ft_v8_20260330_154542.log with huggingface_hub

logs/rmvpe_ft/rmvpe_ft_v8_20260330_154542.log

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+=== Fine-tune RMVPE — Mon Mar 30 15:45:42 HKT 2026 ===
+Disk usage:
+Filesystem                               Size  Used Avail Use% Mounted on
+10.21.7.193:/dpool/userhome/cs/u3571824  400G  118G  283G  30% /userhome/cs/u3571824
+4.9G	data/
+
+=== Run 1/3 — Mon Mar 30 15:45:43 HKT 2026 ===
+/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/resampy/filters.py:50: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
+  import pkg_resources
+/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/finetune_rmvpe.py:678: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = GradScaler(enabled=args.fp16 and device.type == 'cuda')
+RMVPE E2E verified at /userhome/cs/u3571824/fyp/muse/backend/ml_models/prod/weights/rmvpe.pt (368MB)
+Loading pretrained RMVPE from /userhome/cs/u3571824/fyp/muse/backend/ml_models/prod/weights/rmvpe.pt
+
+Generating pseudo-labels for 357 tracks...
+Pseudo-labels: 357 new, 0 cached in outputs/rmvpe_ft_v8/pseudo_labels
+Pseudo-label generation took 217s
+Datasets: ['mir_st500', 'medleydb']
+Train: 318 tracks, Val: 39 tracks
+Smoke test: audio=torch.Size([40960]), label=torch.Size([257, 360]), label_max=0.9229, label_sum=535.0
+RMVPE: 92.0M params
+Frozen 230/417 parameter groups (encoder + intermediate)
+
+=== Fine-tuning RMVPE: 10 epochs, lr=5e-06 ===
+/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/finetune_rmvpe.py:722: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with cuda_autocast(enabled=args.fp16 and device.type == 'cuda'):
+Epoch 1/10 (8s) lr_head=4.88e-06 lr_enc=9.76e-08 | loss=0.1836 | val_RPA=0.8965
+  ★ New best RPA: 0.8965
+Epoch 2/10 (7s) lr_head=4.52e-06 lr_enc=9.05e-08 | loss=0.1837 | val_RPA=0.8623
+Epoch 3/10 (7s) lr_head=3.97e-06 lr_enc=7.94e-08 | loss=0.1833 | val_RPA=0.8364
+Epoch 4/10 (7s) lr_head=3.27e-06 lr_enc=6.55e-08 | loss=0.1838 | val_RPA=0.7774
+  Threshold sweep: best=0.600 RPA=0.9655
+    thred=0.005 RPA=0.6986
+    thred=0.010 RPA=0.7135
+    thred=0.020 RPA=0.7334
+    thred=0.030 RPA=0.7476
+    thred=0.040 RPA=0.7667
+    thred=0.050 RPA=0.7859
+    thred=0.060 RPA=0.7990
+    thred=0.080 RPA=0.8139
+    thred=0.100 RPA=0.8282
+    thred=0.120 RPA=0.8367
+    thred=0.150 RPA=0.8491
+    thred=0.200 RPA=0.8732
+    thred=0.250 RPA=0.9023
+    thred=0.300 RPA=0.9198
+    thred=0.350 RPA=0.9372
+    thred=0.400 RPA=0.9483
+    thred=0.450 RPA=0.9537
+    thred=0.500 RPA=0.9589
+    thred=0.550 RPA=0.9623
+    thred=0.600 RPA=0.9655 <<<
+Epoch 5/10 (6s) lr_head=2.50e-06 lr_enc=5.00e-08 | loss=0.1840 | val_RPA=0.7476 (sweep_best=0.9655@0.600)
+  Threshold sweep: best=0.600 RPA=0.9599
+    thred=0.005 RPA=0.6721
+    thred=0.010 RPA=0.6937
+    thred=0.020 RPA=0.7134
+    thred=0.030 RPA=0.7378
+    thred=0.040 RPA=0.7496
+    thred=0.050 RPA=0.7597
+    thred=0.060 RPA=0.7719
+    thred=0.080 RPA=0.7901
+    thred=0.100 RPA=0.8002
+    thred=0.120 RPA=0.8111
+    thred=0.150 RPA=0.8219
+    thred=0.200 RPA=0.8389
+    thred=0.250 RPA=0.8637
+    thred=0.300 RPA=0.8880
+    thred=0.350 RPA=0.9080
+    thred=0.400 RPA=0.9265
+    thred=0.450 RPA=0.9386
+    thred=0.500 RPA=0.9478
+    thred=0.550 RPA=0.9532
+    thred=0.600 RPA=0.9599 <<<
+Epoch 6/10 (6s) lr_head=1.73e-06 lr_enc=3.45e-08 | loss=0.1836 | val_RPA=0.7378 (sweep_best=0.9599@0.600)
+  Early stopping at epoch 6
+
+Fine-tuning complete. Best RPA: 0.8965
+Training finished at Mon Mar 30 15:50:24 HKT 2026
+
+=== Upload to HuggingFace ===
+Uploading best.pt...
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