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i use python 3.8
i create my own turkmen language model. but i have same error
I FINISHED optimization in 4:02:06.697799
I Loading best validating checkpoint from /content/drive/MyDrive/checkpoint1/best_dev-7200
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/bias
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/kernel
I Loading variable from checkpoint: global_step
I Loading variable from checkpoint: layer_1/bias
I Loading variable from checkpoint: layer_1/weights
I Loading variable from checkpoint: layer_2/bias
I Loading variable from checkpoint: layer_2/weights
I Loading variable from checkpoint: layer_3/bias
I Loading variable from checkpoint: layer_3/weights
I Loading variable from checkpoint: layer_5/bias
I Loading variable from checkpoint: layer_5/weights
I Loading variable from checkpoint: layer_6/bias
I Loading variable from checkpoint: layer_6/weights
Testing model on /content/drive/MyDrive/sound/test.csv
Test epoch | Steps: 40 | Elapsed Time: 0:00:10
Test on /content/drive/MyDrive/sound/test.csv - WER: 0.347682, CER: 0.215981, loss: 99.878929
src: "amala aşyrylýan möhüm özgertmeleriň esasy ugry bolup durýar"
res: "oba hojalyk tehnikalaryň şol sanda täze görnüşli pagta ýygyjy we "
I Exporting the model...
I Loading best validating checkpoint from /content/drive/MyDrive/checkpoint1/best_dev-7200
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/bias
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/kernel
I Loading variable from checkpoint: layer_1/bias
I Loading variable from checkpoint: layer_1/weights
I Loading variable from checkpoint: layer_2/bias
I Loading variable from checkpoint: layer_2/weights
I Loading variable from checkpoint: layer_3/bias
I Loading variable from checkpoint: layer_3/weights
I Loading variable from checkpoint: layer_5/bias
I Loading variable from checkpoint: layer_5/weights
I Loading variable from checkpoint: layer_6/bias
I Loading variable from checkpoint: layer_6/weights
I Models exported at /content/drive/MyDrive/model
I Model metadata file saved to /content/drive/MyDrive/model/author_model_0.0.1.md. Before submitting the exported model for publishing make sure all information in the metadata file is correct, and complete the URL fields.
Making a mmap-able model for inference
The output_graph.pb model file generated in the above step will be loaded in memory to be dealt with when running inference. This will result in extra loading time and memory consumption. One way to avoid this is to directly read data from the disk.
and use mic_vad_streaming.py . my model worked uncorectly .
The text was updated successfully, but these errors were encountered:
i use python 3.8
i create my own turkmen language model. but i have same error
I FINISHED optimization in 4:02:06.697799
I Loading best validating checkpoint from /content/drive/MyDrive/checkpoint1/best_dev-7200
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/bias
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/kernel
I Loading variable from checkpoint: global_step
I Loading variable from checkpoint: layer_1/bias
I Loading variable from checkpoint: layer_1/weights
I Loading variable from checkpoint: layer_2/bias
I Loading variable from checkpoint: layer_2/weights
I Loading variable from checkpoint: layer_3/bias
I Loading variable from checkpoint: layer_3/weights
I Loading variable from checkpoint: layer_5/bias
I Loading variable from checkpoint: layer_5/weights
I Loading variable from checkpoint: layer_6/bias
I Loading variable from checkpoint: layer_6/weights
Testing model on /content/drive/MyDrive/sound/test.csv
Test epoch | Steps: 40 | Elapsed Time: 0:00:10
Test on /content/drive/MyDrive/sound/test.csv - WER: 0.347682, CER: 0.215981, loss: 99.878929
Best WER:
WER: 0.000000, CER: 0.000000, loss: 74.404655
WER: 0.000000, CER: 0.013699, loss: 68.444801
WER: 0.000000, CER: 0.016667, loss: 66.918755
WER: 0.000000, CER: 0.000000, loss: 65.741348
WER: 0.000000, CER: 0.000000, loss: 63.067028
Median WER:
WER: 0.200000, CER: 0.145161, loss: 47.088356
WER: 0.250000, CER: 0.192982, loss: 84.911255
WER: 0.272727, CER: 0.206897, loss: 132.757645
WER: 0.285714, CER: 0.137255, loss: 71.566231
WER: 0.333333, CER: 0.256757, loss: 146.555511
Worst WER:
WER: 0.714286, CER: 0.425926, loss: 87.827034
WER: 0.777778, CER: 0.403226, loss: 117.482162
WER: 0.857143, CER: 0.362319, loss: 134.416412
WER: 0.900000, CER: 0.594203, loss: 161.787582
WER: 1.250000, CER: 0.966102, loss: 381.671783
I Exporting the model...
I Loading best validating checkpoint from /content/drive/MyDrive/checkpoint1/best_dev-7200
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/bias
I Loading variable from checkpoint: cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/kernel
I Loading variable from checkpoint: layer_1/bias
I Loading variable from checkpoint: layer_1/weights
I Loading variable from checkpoint: layer_2/bias
I Loading variable from checkpoint: layer_2/weights
I Loading variable from checkpoint: layer_3/bias
I Loading variable from checkpoint: layer_3/weights
I Loading variable from checkpoint: layer_5/bias
I Loading variable from checkpoint: layer_5/weights
I Loading variable from checkpoint: layer_6/bias
I Loading variable from checkpoint: layer_6/weights
I Models exported at /content/drive/MyDrive/model
I Model metadata file saved to /content/drive/MyDrive/model/author_model_0.0.1.md. Before submitting the exported model for publishing make sure all information in the metadata file is correct, and complete the URL fields.
Making a mmap-able model for inference
The output_graph.pb model file generated in the above step will be loaded in memory to be dealt with when running inference. This will result in extra loading time and memory consumption. One way to avoid this is to directly read data from the disk.
and use mic_vad_streaming.py . my model worked uncorectly .
The text was updated successfully, but these errors were encountered: