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val Loss: 0.0424 accuracy: 0.9961 cls Loss: 0.0141 offset Loss: 0.0091 landmarks Loss: 0.0475
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val Loss: 0.0473 accuracy: 0.9962 cls Loss: 0.0143 offset Loss: 0.0091 landmarks Loss: 0.0569
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val Loss: 0.0535 accuracy: 0.9931 cls Loss: 0.0230 offset Loss: 0.0092 landmarks Loss: 0.0517
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val Loss: 0.0404 accuracy: 0.9963 cls Loss: 0.0133 offset Loss: 0.0090 landmarks Loss: 0.0452
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val Loss: 0.0378 accuracy: 0.9961 cls Loss: 0.0148 offset Loss: 0.0090 landmarks Loss: 0.0372
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val Loss: 0.0417 accuracy: 0.9958 cls Loss: 0.0143 offset Loss: 0.0091 landmarks Loss: 0.0457
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val Loss: 0.0450 accuracy: 0.9964 cls Loss: 0.0136 offset Loss: 0.0089 landmarks Loss: 0.0539
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val Loss: 0.0491 accuracy: 0.9965 cls Loss: 0.0134 offset Loss: 0.0089 landmarks Loss: 0.0625
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val Loss: 0.0457 accuracy: 0.9967 cls Loss: 0.0133 offset Loss: 0.0089 landmarks Loss: 0.0559
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val Loss: 0.0048 accuracy: 0.9978 cls Loss: 0.0063 offset Loss: 0.0045 landmarks Loss: 0.0018
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val Loss: 0.0048 accuracy: 0.9978 cls Loss: 0.0064 offset Loss: 0.0045 landmarks Loss: 0.0018
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val Loss: 0.0047 accuracy: 0.9977 cls Loss: 0.0063 offset Loss: 0.0045 landmarks Loss: 0.0018
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val Loss: 0.0048 accuracy: 0.9978 cls Loss: 0.0063 offset Loss: 0.0045 landmarks Loss: 0.0018
train Loss: 0.0044 accuracy: 0.9982 cls Loss: 0.0054 offset Loss: 0.0044 landmarks Loss: 0.0018
val Loss: 0.0050 accuracy: 0.9976 cls Loss: 0.0069 offset Loss: 0.0046 landmarks Loss: 0.0018
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val Loss: 0.0048 accuracy: 0.9978 cls Loss: 0.0063 offset Loss: 0.0045 landmarks Loss: 0.0018
train Loss: 0.0044 accuracy: 0.9982 cls Loss: 0.0053 offset Loss: 0.0044 landmarks Loss: 0.0018
val Loss: 0.0048 accuracy: 0.9977 cls Loss: 0.0064 offset Loss: 0.0045 landmarks Loss: 0.0018
train Loss: 0.0044 accuracy: 0.9982 cls Loss: 0.0054 offset Loss: 0.0044 landmarks Loss: 0.0018
val Loss: 0.0048 accuracy: 0.9978 cls Loss: 0.0063 offset Loss: 0.0045 landmarks Loss: 0.0018
train Loss: 0.0044 accuracy: 0.9982 cls Loss: 0.0053 offset Loss: 0.0044 landmarks Loss: 0.0018
val Loss: 0.0050 accuracy: 0.9977 cls Loss: 0.0068 offset Loss: 0.0046 landmarks Loss: 0.0018
train Loss: 0.0044 accuracy: 0.9982 cls Loss: 0.0053 offset Loss: 0.0044 landmarks Loss: 0.0018
val Loss: 0.0049 accuracy: 0.9977 cls Loss: 0.0069 offset Loss: 0.0045 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9983 cls Loss: 0.0050 offset Loss: 0.0043 landmarks Loss: 0.0018
val Loss: 0.0047 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0047 accuracy: 0.9979 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
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train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9979 cls Loss: 0.0061 offset Loss: 0.0044 landmarks Loss: 0.0018
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val Loss: 0.0047 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0047 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
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train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9979 cls Loss: 0.0061 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0047 accuracy: 0.9978 cls Loss: 0.0063 offset Loss: 0.0044 landmarks Loss: 0.0018
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val Loss: 0.0046 accuracy: 0.9979 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0047 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0017
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val Loss: 0.0046 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
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val Loss: 0.0046 accuracy: 0.9979 cls Loss: 0.0061 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0049 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9979 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0048 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0017
train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0048 offset Loss: 0.0042 landmarks Loss: 0.0018
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val Loss: 0.0046 accuracy: 0.9978 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
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train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0048 offset Loss: 0.0042 landmarks Loss: 0.0018
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train Loss: 0.0042 accuracy: 0.9984 cls Loss: 0.0048 offset Loss: 0.0042 landmarks Loss: 0.0018
val Loss: 0.0046 accuracy: 0.9980 cls Loss: 0.0062 offset Loss: 0.0044 landmarks Loss: 0.0018
