Datasets:

lamooon
/

vocal

+=== Onset v1: VocalOnsetResNet IOB2 — Fri Mar 27 09:58:02 HKT 2026 ===
+=== Phase 1: Training (seed=42) ===
+=== Run 1/20 — Fri Mar 27 09:58:02 HKT 2026 ===
+/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_onset.py:519: 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')
+Device: cuda
+Config: epochs=40, batch=16, lr=0.0003, B-weight=15.0, segment=5.0s
+Train: 4259 tracks, Val: 531 tracks
+VocalOnsetResNet: 0.71M params
+=== Training: 40 epochs ===
+/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_onset.py:285: 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'):
+Traceback (most recent call last):
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_onset.py", line 584, in <module>
+    main()
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_onset.py", line 531, in main
+    val_metrics = eval_epoch(model, val_loader, device, args)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
+    return func(*args, **kwargs)
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/train_onset.py", line 341, in eval_epoch
+    logits = model(mel)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/src/onset_model.py", line 96, in forward
+    x = self.blocks(x)           # (B, 64, T, freq_reduced)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/container.py", line 253, in forward
+    input = module(input)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/fyp/muse/backend/ml_models/dev/vocal/src/onset_model.py", line 45, in forward
+    residual = self.skip(x)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/container.py", line 253, in forward
+    input = module(input)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 194, in forward
+    return F.batch_norm(
+  File "/userhome/cs/u3571824/anaconda3/envs/bass/lib/python3.10/site-packages/torch/nn/functional.py", line 2846, in batch_norm
+    return torch.batch_norm(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 13.91 GiB. GPU 0 has a total capacity of 15.70 GiB of which 899.25 MiB is free. Including non-PyTorch memory, this process has 14.81 GiB memory in use. Of the allocated memory 14.38 GiB is allocated by PyTorch, and 119.71 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+FATAL ERROR — stopping.
+WARNING: No checkpoint produced.