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Change min-abs threshold from 0.2 to 0.5
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parent
bfce5f63e4
commit
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@ -316,7 +316,7 @@ class DerivBalancerFunction(torch.autograd.Function):
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channel_dim: int,
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channel_dim: int,
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threshold: float = 0.05,
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threshold: float = 0.05,
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max_factor: float = 0.05,
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max_factor: float = 0.05,
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min_abs: float = 0.2) -> Tensor:
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min_abs: float = 0.5) -> Tensor:
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if x.requires_grad:
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if x.requires_grad:
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if channel_dim < 0:
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if channel_dim < 0:
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channel_dim += x.ndim
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channel_dim += x.ndim
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@ -452,7 +452,7 @@ class DerivBalancer(torch.nn.Module):
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def __init__(self, channel_dim: int,
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def __init__(self, channel_dim: int,
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threshold: float = 0.05,
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threshold: float = 0.05,
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max_factor: float = 0.02,
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max_factor: float = 0.02,
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min_abs: float = 0.2):
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min_abs: float = 0.5):
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super(DerivBalancer, self).__init__()
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super(DerivBalancer, self).__init__()
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self.channel_dim = channel_dim
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self.channel_dim = channel_dim
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self.threshold = threshold
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self.threshold = threshold
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@ -110,7 +110,7 @@ def get_parser():
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parser.add_argument(
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parser.add_argument(
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"--exp-dir",
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"--exp-dir",
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type=str,
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type=str,
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default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3_brelu2swish2_0.1_bnorm2ma0.2",
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default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3_brelu2swish2_0.1_bnorm2ma0.5",
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help="""The experiment dir.
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help="""The experiment dir.
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It specifies the directory where all training related
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It specifies the directory where all training related
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files, e.g., checkpoints, log, etc, are saved
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files, e.g., checkpoints, log, etc, are saved
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