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[Info] Use mean listener: False [Info] Model parameters: 1386198 Train: 100% 845/845 [06:23<00:00, 2.20 step/s]tep/s, loss=4.78, mean_loss=1.32, LD_loss=0.866] Valid: 0% 0/3000 [00:01<?, ? step/s], 2.46 step/s, loss=6.95, mean_loss=1.48, LD_loss=1.37] Train: 18% 154/845 [01:26<06:29, 1.77 step/s] Traceback (most recent call last):p/s] File "train.py", line 269, in main() File "train.py", line 265, in main valid(config["inference_mode"], model, valid_loader, valid_set.systems, save_dir, global_step, "Valid") File "train.py", line 36, in valid mag_sgrams_padded, avg_scores, sys_names, wav_names = batch ValueError: not enough values to unpack (expected 4, got 3) Overall: 2% 999/50000 [07:50<6:24:29, 2.12 step/s, loss=6.95, mean_loss=1.48, LD_loss=1.37]
While running python train.py --config configs/MBNet.yaml --tag model1
The text was updated successfully, but these errors were encountered:
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[Info] Use mean listener: False
[Info] Model parameters: 1386198
Train: 100% 845/845 [06:23<00:00, 2.20 step/s]tep/s, loss=4.78, mean_loss=1.32, LD_loss=0.866]
Valid: 0% 0/3000 [00:01<?, ? step/s], 2.46 step/s, loss=6.95, mean_loss=1.48, LD_loss=1.37]
Train: 18% 154/845 [01:26<06:29, 1.77 step/s]
Traceback (most recent call last):p/s]
File "train.py", line 269, in
main()
File "train.py", line 265, in main
valid(config["inference_mode"], model, valid_loader, valid_set.systems, save_dir, global_step, "Valid")
File "train.py", line 36, in valid
mag_sgrams_padded, avg_scores, sys_names, wav_names = batch
ValueError: not enough values to unpack (expected 4, got 3)
Overall: 2% 999/50000 [07:50<6:24:29, 2.12 step/s, loss=6.95, mean_loss=1.48, LD_loss=1.37]
While running python train.py --config configs/MBNet.yaml --tag model1
The text was updated successfully, but these errors were encountered: