Upload logs/melroformer/melroformer_20260406_012701.log with huggingface_hub
Browse files
logs/melroformer/melroformer_20260406_012701.log
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
=== Mel-RoFormer Transcriber — Mon Apr 6 01:27:01 HKT 2026 ===
|
| 2 |
+
SLURM_JOB_ID=128428 node=gpu-4080-410 gpu=0
|
| 3 |
+
=== Disk before ===
|
| 4 |
+
Filesystem Size Used Avail Use% Mounted on
|
| 5 |
+
10.21.7.193:/dpool/userhome/cs/u3571824 400G 362G 39G 91% /userhome/cs/u3571824
|
| 6 |
+
Cleaned stale caches + previous melroformer outputs
|
| 7 |
+
|
| 8 |
+
=== Phase 1: Train Mel-RoFormer Transcriber ===
|
| 9 |
+
Device: cuda
|
| 10 |
+
Mel-RoFormer Transcriber (inspired by ISMIR 2024)
|
| 11 |
+
Backbone: community MelBandRoformer (384d, 12 layers, 60 bands)
|
| 12 |
+
Heads: onset MLP + frame MLP, 60 pitches (MIDI 36-95)
|
| 13 |
+
Target FPS: 50.0
|
| 14 |
+
Loading MelBandRoformer backbone...
|
| 15 |
+
Downloading community separation weights from HuggingFace...
|
| 16 |
+
Saved to /userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/weights/MelBandRoformer.ckpt
|
| 17 |
+
Checkpoint has 6 transformer layers (indices 0-5)
|
| 18 |
+
Checkpoint keys: 684, Model keys: 684
|
| 19 |
+
Weights loaded successfully (strict=True)
|
| 20 |
+
Backbone loaded: 228.2M params (frozen)
|
| 21 |
+
Transcription heads: 2.257M trainable params
|
| 22 |
+
Train: 318 Val: 39
|
| 23 |
+
TranscriptionDataset: 318 tracks (train)
|
| 24 |
+
TranscriptionDataset: 39 tracks (val)
|
| 25 |
+
/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_melroformer.py:632: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
|
| 26 |
+
scaler = GradScaler(enabled=(args.fp16 and device == 'cuda'))
|
| 27 |
+
|
| 28 |
+
=== Training Mel-RoFormer Transcriber: 50 epochs ===
|
| 29 |
+
/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_melroformer.py:652: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
|
| 30 |
+
with cuda_autocast(enabled=scaler.is_enabled()):
|
| 31 |
+
Ep 1/50 (144s) lr=9.99e-04 | train_loss=1.7387 val_loss=0.4526 | val_COn=0.0000
|
| 32 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 33 |
+
Ep 2/50 (121s) lr=9.96e-04 | train_loss=1.1526 val_loss=0.3670 | val_COn=0.0000
|
| 34 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 35 |
+
Ep 3/50 (120s) lr=9.91e-04 | train_loss=1.0794 val_loss=0.3058 | val_COn=0.0000
|
| 36 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 37 |
+
Ep 4/50 (121s) lr=9.84e-04 | train_loss=0.8996 val_loss=0.3166 | val_COn=0.0000
|
| 38 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 39 |
+
Ep 5/50 (120s) lr=9.76e-04 | train_loss=0.9432 val_loss=0.3382 | val_COn=0.0000
|
| 40 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 41 |
+
Ep 6/50 (121s) lr=9.65e-04 | train_loss=0.9959 val_loss=0.4260 | val_COn=0.0000
|
| 42 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 43 |
+
Ep 7/50 (121s) lr=9.53e-04 | train_loss=1.0070 val_loss=0.3459 | val_COn=0.0000
|
| 44 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 45 |
+
Ep 8/50 (121s) lr=9.39e-04 | train_loss=0.8579 val_loss=0.3033 | val_COn=0.0000
|
| 46 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 47 |
+
Ep 9/50 (120s) lr=9.23e-04 | train_loss=0.9414 val_loss=0.5528 | val_COn=0.0000
|
| 48 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 49 |
+
Ep 10/50 (122s) lr=9.05e-04 | train_loss=0.8367 val_loss=0.2702 | val_COn=0.0000
|
| 50 |
+
Uploaded: logs/melroformer/training_log.jsonl
|
| 51 |
+
Early stopping at epoch 10
|
| 52 |
+
|
| 53 |
+
Done. Best val COn=0.0000 → /userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/outputs/melroformer/best.pt
|
| 54 |
+
FATAL: training failed
|