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| | | ```sh |
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| | | tensorboard --logdir ${exp_dir}/exp/${model_dir}/tensorboard/train |
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| | | ``` |
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| | | Here is an example of loss: |
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| | | |
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| | | <img src="images/loss.png" width="200"/> |
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| | | |
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| | | The inference results are saved in `${exp_dir}/exp/${model_dir}/decode_asr_*/$dset`. The main two files are `text.cer` and `text.cer.txt`. `text.cer` saves the comparison between the recognized text and the reference text, like follows: |
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| | | ```text |
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| | |
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| | | encoder: conformer |
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| | | encoder_conf: |
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| | | output_size: 256 # dimension of attention |
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| | | attention_heads: 4 # number of heads in multi-head attention |
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| | | attention_heads: 4 # the number of heads in multi-head attention |
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| | | linear_units: 2048 # the number of units of position-wise feed forward |
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| | | num_blocks: 12 # the number of encoder blocks |
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| | | dropout_rate: 0.1 |
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