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The code reaches eval step and prints that num_example: unknown and gets stuck
I didn't change anything on the example code and tried both the google colab and the python variant on a google VM.
I tried:
1-changing the split to the same one as train.
2- Disabling predict_with_generate and do_normalize_eval.
The text was updated successfully, but these errors were encountered:
qusai-maqsam
changed the title
***** Running Evaluation ***** Num examples: Unknown Batch size = 8 Reading metadata...: 15520it [00:01, 11316.34it/s] The following columns in the evaluation set don't have a corresponding argument in WhisperForConditionalGeneration.forward and have been ignored: input_length. If input_length are not expected by WhisperForConditionalGeneration.forward, you can safely ignore this message.
Num examples: Unknown when it reached eval step on both Colab and the Python code.
Dec 9, 2022
qusai-maqsam
changed the title
Num examples: Unknown when it reached eval step on both Colab and the Python code.
"Num examples: Unknown" when it reached eval step on both Colab and the Python code.
Dec 9, 2022
qusai-maqsam
changed the title
"Num examples: Unknown" when it reached eval step on both Colab and the Python code.
[WFTE] "Num examples: Unknown" when it reached eval step on both Colab and the Python code.
Dec 9, 2022
The code reaches eval step and prints that num_example: unknown and gets stuck
I didn't change anything on the example code and tried both the google colab and the python variant on a google VM.
I tried:
1-changing the split to the same one as train.
2- Disabling predict_with_generate and do_normalize_eval.
The text was updated successfully, but these errors were encountered: