assert len(cv_df) > 0, "Fraction a bit too large?"

[wonyeongdeok]

Thansk for your code.
I`m trying to train from scratch by teacher1.
But I did meet this error when I run 'run.py'.
How can I solve this problem?
Advancely Thank you!!

(env_gpvad)my_account:~/Datadriven-GPVAD$ python run.py train configs/example.yaml
[2022-01-24 20:46:21] Storing files in experiments/CRNN/2022-01-24_20-46-01_400e8c547d0b11ec9397a0423f3aed9a
[2022-01-24 20:46:21] batch_size: 64
[2022-01-24 20:46:21] data: data/csv_labels/balanced.csv
[2022-01-24 20:46:21] data_args:
[2022-01-24 20:46:21] mode: null
[2022-01-24 20:46:21] early_stop: 15
[2022-01-24 20:46:21] epochs: 15
[2022-01-24 20:46:21] itercv: 10000
[2022-01-24 20:46:21] label: data/softlabels/csv/balanced.csv
[2022-01-24 20:46:21] label_type: soft
[2022-01-24 20:46:21] loss: FrameBCELoss
[2022-01-24 20:46:21] model: CRNN
[2022-01-24 20:46:21] model_args: {}
[2022-01-24 20:46:21] num_workers: 8
[2022-01-24 20:46:21] optimizer: AdamW
[2022-01-24 20:46:21] optimizer_args:
[2022-01-24 20:46:21] lr: 0.001
[2022-01-24 20:46:21] outputpath: experiments/
[2022-01-24 20:46:21] postprocessing: double
[2022-01-24 20:46:21] save: best
[2022-01-24 20:46:21] scheduler_args:
[2022-01-24 20:46:21] factor: 0.1
[2022-01-24 20:46:21] patience: 10
[2022-01-24 20:46:21] threshold: null
[2022-01-24 20:46:21] transforms:
[2022-01-24 20:46:21] - timemask
[2022-01-24 20:46:21] - freqmask
[2022-01-24 20:46:21]
[2022-01-24 20:46:21] Running on device cpu
[2022-01-24 20:46:21] train_df
[2022-01-24 20:46:21] cv_df
[2022-01-24 20:46:21] Transforms:
[2022-01-24 20:46:21] Sequential(
[2022-01-24 20:46:21] (0): TimeMask()
[2022-01-24 20:46:21] (1): FreqMask()
[2022-01-24 20:46:21] )
Traceback (most recent call last):
File "run.py", line 639, in
fire.Fire(Runner)
File "/home/t3qadmin/anaconda3/envs/env_gpvad/lib/python3.7/site-packages/fire/core.py", line 127, in Fire
component_trace = _Fire(component, args, context, name)
File "/home/t3qadmin/anaconda3/envs/env_gpvad/lib/python3.7/site-packages/fire/core.py", line 366, in _Fire
component, remaining_args)
File "/home/t3qadmin/anaconda3/envs/env_gpvad/lib/python3.7/site-packages/fire/core.py", line 542, in _CallCallable
result = fn(*varargs, **kwargs)
File "run.py", line 118, in train
assert len(cv_df) > 0, "Fraction a bit too large?"
AssertionError: Fraction a bit too large?

[RicherMans]

Hey there,
seems like your data has some problems. The code throws this exception if it cannot split training and cv data, which usually means that the training data is too small or just plainly wrongly formatted.
I suggest you to do a print(cv_df) on line 117, as well as print(train_df) ( just replace with the correct name).