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https://github.com/k2-fsa/icefall.git
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Run in exp_2, with foam from start, knee_factor=5.0, initial_lrate=2e-04.
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parent
ccf7bdec23
commit
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@ -852,7 +852,7 @@ class Foam(object):
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params,
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params,
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max_lrate: float = 5.0e-04,
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max_lrate: float = 5.0e-04,
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warm_step: int = 25000,
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warm_step: int = 25000,
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knee_factor: float = 8.0,
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knee_factor: float = 5.0,
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min_target_rms: float = 0.05,
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min_target_rms: float = 0.05,
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limit_grad_factor: float = float('inf'),
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limit_grad_factor: float = float('inf'),
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l2_period: int = 1) -> None:
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l2_period: int = 1) -> None:
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@ -132,13 +132,13 @@ def get_params() -> AttributeDict:
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"""
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"""
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params = AttributeDict(
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params = AttributeDict(
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{
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{
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"exp_dir": Path("conformer_lm/exp_1"),
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"exp_dir": Path("conformer_lm/exp_2"),
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"lm_dataset": Path("data/lm_training_5000/lm_data.pt"),
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"lm_dataset": Path("data/lm_training_5000/lm_data.pt"),
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"num_tokens": 5000,
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"num_tokens": 5000,
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"blank_sym": 0,
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"blank_sym": 0,
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"bos_sym": 1,
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"bos_sym": 1,
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"eos_sym": 1,
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"eos_sym": 1,
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"start_epoch": 3,
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"start_epoch": 0,
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"num_epochs": 20,
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"num_epochs": 20,
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"num_valid_batches": 200,
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"num_valid_batches": 200,
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"symbols_per_batch": 5000,
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"symbols_per_batch": 5000,
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@ -155,7 +155,7 @@ def get_params() -> AttributeDict:
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"attention_dim": 512,
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"attention_dim": 512,
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"nhead": 8,
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"nhead": 8,
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"num_decoder_layers": 6,
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"num_decoder_layers": 6,
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"max_lrate": 5.0e-04
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"max_lrate": 2.0e-04 # was 5.0e-04, then from start_epoch=9 used max_lrate=2.0e-04, then from start_epoch=11 used 1.0e-04.
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}
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}
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)
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)
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