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selimsef / dfdc_deepfake_challenge

A prize winning solution for DFDC challenge
MIT License
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ValueError: Found array with 0 sample(s) (shape=(0,)) while a minimum of 1 is required. #19

Closed mrunal-byt closed 3 years ago

mrunal-byt commented 3 years ago

./train.sh path/to/data num-of-gpus 100%██████████████████████████████████████████████████████████████████████████████████| 2765/2765 [06:11<00:00, 7.45it/s] Traceback (most recent call last): File "training/pipelines/train_classifier.py", line 363, in main() File "training/pipelines/train_classifier.py", line 227, in main summary_writer=summary_writer) File "training/pipelines/train_classifier.py", line 235, in evaluate_val bce, probs, targets = validate(model, data_loader=data_val) File "training/pipelines/train_classifier.py", line 290, in validate real_loss = log_loss(y[real_idx], x[real_idx], labels=[0, 1]) File "/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py", line 72, in inner_f return f(kwargs) File "/opt/conda/lib/python3.7/site-packages/sklearn/metrics/_classification.py", line 2186, in log_loss y_pred = check_array(y_pred, ensure_2d=False) File "/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py", line 72, in inner_f return f(kwargs) File "/opt/conda/lib/python3.7/site-packages/sklearn/utils/validation.py", line 653, in check_array context)) ValueError: Found array with 0 sample(s) (shape=(0,)) while a minimum of 1 is required.

selimsef commented 3 years ago

Hi @mrunal-byt, something is wrong with your validation, seems like it has 0 samples