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Increase warm_step (and valid_interval)
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@ -295,7 +295,7 @@ def get_params() -> AttributeDict:
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# parameters for decoder
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"embedding_dim": 512,
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# parameters for Noam
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"warm_step": 30000, # For the 100h subset, use 8k
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"warm_step": 60000, # For the 100h subset, use 8k
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"model_warm_step": 3000, # arg given to model, not for lrate
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"env_info": get_env_info(),
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}
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@ -689,8 +689,8 @@ def run(rank, world_size, args):
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params = get_params()
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params.update(vars(args))
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if params.full_libri is False:
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params.valid_interval = 800
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params.warm_step = 16000
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params.valid_interval = 1600
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params.warm_step = 30000
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fix_random_seed(params.seed)
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if world_size > 1:
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