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Fix typo for pruned_transducer_stateless7
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@ -94,10 +94,10 @@ Usage:
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--max-states 64
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(8) modified beam search with RNNLM shallow fusion
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./pruned_transducer_stateless5/decode.py \
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./pruned_transducer_stateless7/decode.py \
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--epoch 35 \
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--avg 15 \
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--exp-dir ./pruned_transducer_stateless5/exp \
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--exp-dir ./pruned_transducer_stateless7/exp \
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--max-duration 600 \
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--decoding-method modified_beam_search_lm_shallow_fusion \
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--beam-size 4 \
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@ -110,11 +110,11 @@ Usage:
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--rnn-lm-tie-weights 1
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(9) modified beam search with LM shallow fusion + LODR
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./pruned_transducer_stateless5/decode.py \
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./pruned_transducer_stateless7/decode.py \
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--epoch 28 \
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--avg 15 \
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--max-duration 600 \
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--exp-dir ./pruned_transducer_stateless5/exp \
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--exp-dir ./pruned_transducer_stateless7/exp \
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--decoding-method modified_beam_search_LODR \
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--beam-size 4 \
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--lm-type rnn \
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@ -79,7 +79,7 @@ def get_parser():
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type=int,
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default=28,
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help="""It specifies the checkpoint to use for averaging.
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Note: Epoch counts from 0.
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Note: Epoch counts from 1.
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You can specify --avg to use more checkpoints for model averaging.""",
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)
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@ -116,7 +116,7 @@ def get_parser():
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parser.add_argument(
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"--exp-dir",
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type=str,
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default="pruned_transducer_stateless5/exp",
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default="pruned_transducer_stateless7/exp",
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help="""It specifies the directory where all training related
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files, e.g., checkpoints, log, etc, are saved
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""",
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@ -389,7 +389,7 @@ def get_parser():
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params.batch_idx_train % save_every_n == 0. The checkpoint filename
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has the form: f'exp-dir/checkpoint-{params.batch_idx_train}.pt'
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Note: It also saves checkpoint to `exp-dir/epoch-xxx.pt` at the
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end of each epoch where `xxx` is the epoch number counting from 0.
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end of each epoch where `xxx` is the epoch number counting from 1.
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""",
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)
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@ -340,7 +340,7 @@ def get_parser():
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params.batch_idx_train % save_every_n == 0. The checkpoint filename
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has the form: f'exp-dir/checkpoint-{params.batch_idx_train}.pt'
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Note: It also saves checkpoint to `exp-dir/epoch-xxx.pt` at the
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end of each epoch where `xxx` is the epoch number counting from 0.
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end of each epoch where `xxx` is the epoch number counting from 1.
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""",
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)
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