wandb: WARNING The get_url method is deprecated and will be removed in a future release. Please use `run.url` instead. [wandb] logging to https://wandb.ai/seungeun-goodgang-labs/animasync-v3-face/runs/5q7noe4s [focus=expression/freeze_lipsync] masked 31 lipsync channels epoch 0 train l1=0.0609 vel=0.0000 val l1=0.0140 vel=0.0000 lr=3.74e-04 vw=0.00 3.9s → saved best_expression_v18d (val l1=0.0140) epoch 1 train l1=0.0114 vel=0.0004 val l1=0.0090 vel=0.0002 lr=7.48e-04 vw=0.05 2.9s → saved best_expression_v18d (val l1=0.0090) epoch 2 train l1=0.0084 vel=0.0005 val l1=0.0080 vel=0.0003 lr=1.00e-03 vw=0.10 3.1s → saved best_expression_v18d (val l1=0.0080) epoch 3 train l1=0.0075 vel=0.0006 val l1=0.0079 vel=0.0003 lr=1.00e-03 vw=0.15 3.0s → saved best_expression_v18d (val l1=0.0079) epoch 4 train l1=0.0070 vel=0.0007 val l1=0.0075 vel=0.0004 lr=9.99e-04 vw=0.20 3.0s → saved best_expression_v18d (val l1=0.0075) epoch 5 train l1=0.0067 vel=0.0008 val l1=0.0073 vel=0.0005 lr=9.97e-04 vw=0.25 3.0s → saved best_expression_v18d (val l1=0.0073) epoch 6 train l1=0.0066 vel=0.0009 val l1=0.0068 vel=0.0006 lr=9.95e-04 vw=0.30 3.0s → saved best_expression_v18d (val l1=0.0068) epoch 7 train l1=0.0063 vel=0.0010 val l1=0.0069 vel=0.0006 lr=9.93e-04 vw=0.35 3.0s epoch 8 train l1=0.0062 vel=0.0011 val l1=0.0068 vel=0.0007 lr=9.90e-04 vw=0.40 3.0s → saved best_expression_v18d (val l1=0.0068) epoch 9 train l1=0.0061 vel=0.0012 val l1=0.0065 vel=0.0008 lr=9.86e-04 vw=0.45 3.0s → saved best_expression_v18d (val l1=0.0065) epoch 10 train l1=0.0061 vel=0.0013 val l1=0.0064 vel=0.0008 lr=9.82e-04 vw=0.50 2.9s → saved best_expression_v18d (val l1=0.0064) epoch 11 train l1=0.0060 vel=0.0014 val l1=0.0065 vel=0.0009 lr=9.78e-04 vw=0.55 2.9s epoch 12 train l1=0.0059 vel=0.0015 val l1=0.0066 vel=0.0009 lr=9.72e-04 vw=0.60 2.9s epoch 13 train l1=0.0059 vel=0.0016 val l1=0.0064 vel=0.0010 lr=9.67e-04 vw=0.65 3.0s → saved best_expression_v18d (val l1=0.0064) epoch 14 train l1=0.0059 vel=0.0016 val l1=0.0064 vel=0.0011 lr=9.61e-04 vw=0.70 3.0s → saved best_expression_v18d (val l1=0.0064) epoch 15 train l1=0.0058 vel=0.0017 val l1=0.0065 vel=0.0011 lr=9.54e-04 vw=0.75 2.9s epoch 16 train l1=0.0058 vel=0.0018 val l1=0.0064 vel=0.0012 lr=9.47e-04 vw=0.80 3.0s epoch 17 train l1=0.0057 vel=0.0019 val l1=0.0063 vel=0.0012 lr=9.40e-04 vw=0.85 3.0s → saved best_expression_v18d (val l1=0.0063) epoch 18 train l1=0.0057 vel=0.0020 val l1=0.0062 vel=0.0012 lr=9.32e-04 vw=0.90 2.9s → saved best_expression_v18d (val l1=0.0062) epoch 19 train l1=0.0057 vel=0.0020 val l1=0.0064 vel=0.0013 lr=9.24e-04 vw=0.95 2.9s epoch 20 train l1=0.0056 vel=0.0021 val l1=0.0063 vel=0.0014 lr=9.15e-04 vw=1.00 2.9s epoch 21 train l1=0.0056 vel=0.0021 val l1=0.0064 vel=0.0014 lr=9.06e-04 vw=1.00 3.0s epoch 22 train l1=0.0056 vel=0.0021 val l1=0.0062 vel=0.0014 lr=8.96e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0062) epoch 23 train l1=0.0055 vel=0.0021 val l1=0.0063 vel=0.0013 lr=8.86e-04 vw=1.00 2.9s epoch 24 train l1=0.0055 vel=0.0021 val l1=0.0063 vel=0.0013 lr=8.76e-04 vw=1.00 2.9s epoch 25 train l1=0.0055 vel=0.0020 val l1=0.0062 vel=0.0013 lr=8.65e-04 vw=1.00 3.0s epoch 26 train l1=0.0055 vel=0.0020 val l1=0.0062 vel=0.0013 lr=8.54e-04 vw=1.00 3.0s epoch 27 train l1=0.0055 vel=0.0020 val l1=0.0061 vel=0.0013 lr=8.42e-04 vw=1.00 3.1s → saved best_expression_v18d (val l1=0.0061) epoch 28 train l1=0.0054 vel=0.0020 val l1=0.0062 vel=0.0013 lr=8.30e-04 vw=1.00 3.2s epoch 29 train l1=0.0054 vel=0.0020 val l1=0.0061 vel=0.0013 lr=8.18e-04 vw=1.00 3.0s epoch 30 train l1=0.0054 vel=0.0020 val l1=0.0063 vel=0.0013 lr=8.05e-04 vw=1.00 3.0s epoch 31 train l1=0.0054 vel=0.0020 val l1=0.0061 vel=0.0013 lr=7.92e-04 vw=1.00 2.9s → saved best_expression_v18d (val l1=0.0061) epoch 32 train l1=0.0054 vel=0.0020 val l1=0.0061 vel=0.0013 lr=7.79e-04 vw=1.00 3.0s epoch 33 train l1=0.0053 vel=0.0020 val l1=0.0060 vel=0.0013 lr=7.65e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0060) epoch 34 train l1=0.0053 vel=0.0019 val l1=0.0061 vel=0.0013 lr=7.52e-04 vw=1.00 3.0s epoch 35 train l1=0.0053 vel=0.0019 val l1=0.0060 vel=0.0013 lr=7.38e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0060) epoch 36 train l1=0.0053 vel=0.0019 val l1=0.0061 vel=0.0013 lr=7.23e-04 vw=1.00 3.0s epoch 37 train l1=0.0052 vel=0.0019 val l1=0.0061 vel=0.0013 lr=7.09e-04 vw=1.00 2.9s epoch 38 train l1=0.0052 vel=0.0019 val l1=0.0061 vel=0.0013 lr=6.94e-04 vw=1.00 3.0s epoch 39 train l1=0.0052 vel=0.0019 val l1=0.0059 vel=0.0013 lr=6.79e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0059) epoch 40 train l1=0.0053 vel=0.0019 val l1=0.0060 vel=0.0013 lr=6.64e-04 vw=1.00 3.0s epoch 41 train l1=0.0052 vel=0.0019 val l1=0.0060 vel=0.0012 lr=6.48e-04 vw=1.00 3.2s epoch 42 train l1=0.0052 vel=0.0019 val l1=0.0061 vel=0.0013 lr=6.33e-04 vw=1.00 3.0s epoch 43 train l1=0.0052 vel=0.0019 val l1=0.0059 vel=0.0013 lr=6.17e-04 vw=1.00 2.9s epoch 44 train l1=0.0051 vel=0.0019 val l1=0.0060 vel=0.0013 lr=6.02e-04 vw=1.00 3.0s epoch 45 train l1=0.0052 vel=0.0019 val l1=0.0059 vel=0.0012 lr=5.86e-04 vw=1.00 3.0s epoch 46 train l1=0.0051 vel=0.0019 val l1=0.0060 vel=0.0012 lr=5.70e-04 vw=1.00 3.0s epoch 47 train l1=0.0051 vel=0.0019 val l1=0.0059 vel=0.0012 lr=5.54e-04 vw=1.00 3.1s epoch 48 train l1=0.0051 vel=0.0019 val l1=0.0059 vel=0.0012 lr=5.38e-04 vw=1.00 3.1s epoch 49 train l1=0.0051 vel=0.0019 val l1=0.0059 vel=0.0012 lr=5.22e-04 vw=1.00 3.0s epoch 50 train l1=0.0051 vel=0.0019 val l1=0.0060 vel=0.0013 lr=5.05e-04 vw=1.00 3.0s epoch 51 train l1=0.0051 vel=0.0019 val l1=0.0059 vel=0.0012 lr=4.89e-04 vw=1.00 2.9s epoch 52 train l1=0.0051 vel=0.0019 val l1=0.0060 vel=0.0012 lr=4.73e-04 vw=1.00 3.0s epoch 53 train l1=0.0051 vel=0.0019 val l1=0.0058 vel=0.0013 lr=4.57e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0058) epoch 54 train l1=0.0050 vel=0.0019 val l1=0.0059 vel=0.0012 lr=4.41e-04 vw=1.00 3.0s epoch 55 train l1=0.0051 vel=0.0019 val l1=0.0058 vel=0.0012 lr=4.25e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0058) epoch 56 train l1=0.0050 vel=0.0019 val l1=0.0059 vel=0.0012 lr=4.09e-04 vw=1.00 2.9s epoch 57 train l1=0.0050 vel=0.0019 val l1=0.0058 vel=0.0012 lr=3.93e-04 vw=1.00 3.1s epoch 58 train l1=0.0050 vel=0.0019 val l1=0.0058 vel=0.0012 lr=3.78e-04 vw=1.00 3.0s epoch 59 train l1=0.0050 vel=0.0019 val l1=0.0058 vel=0.0012 lr=3.62e-04 vw=1.00 3.0s epoch 60 train l1=0.0050 vel=0.0018 val l1=0.0057 vel=0.0012 lr=3.47e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0057) epoch 61 train l1=0.0050 vel=0.0018 val l1=0.0057 vel=0.0012 lr=3.31e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0057) epoch 62 train l1=0.0050 vel=0.0018 val l1=0.0059 vel=0.0012 lr=3.16e-04 vw=1.00 3.0s epoch 63 train l1=0.0049 vel=0.0018 val l1=0.0058 vel=0.0012 lr=3.01e-04 vw=1.00 3.0s epoch 64 train l1=0.0049 vel=0.0018 val l1=0.0058 vel=0.0012 lr=2.87e-04 vw=1.00 3.0s epoch 65 train l1=0.0050 vel=0.0018 val l1=0.0058 vel=0.0012 lr=2.72e-04 vw=1.00 3.0s epoch 66 train l1=0.0049 vel=0.0018 val l1=0.0059 vel=0.0012 lr=2.58e-04 vw=1.00 3.0s epoch 67 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.44e-04 vw=1.00 3.0s epoch 68 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.30e-04 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0057) epoch 69 train l1=0.0049 vel=0.0018 val l1=0.0058 vel=0.0012 lr=2.17e-04 vw=1.00 3.0s epoch 70 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.04e-04 vw=1.00 2.9s → saved best_expression_v18d (val l1=0.0057) epoch 71 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.91e-04 vw=1.00 2.9s epoch 72 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.78e-04 vw=1.00 3.0s epoch 73 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.66e-04 vw=1.00 3.0s epoch 74 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.54e-04 vw=1.00 3.0s epoch 75 train l1=0.0048 vel=0.0018 val l1=0.0058 vel=0.0012 lr=1.43e-04 vw=1.00 2.9s epoch 76 train l1=0.0049 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.32e-04 vw=1.00 3.0s epoch 77 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.21e-04 vw=1.00 2.9s → saved best_expression_v18d (val l1=0.0057) epoch 78 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.11e-04 vw=1.00 3.0s epoch 79 train l1=0.0049 vel=0.0018 val l1=0.0058 vel=0.0012 lr=1.01e-04 vw=1.00 2.9s epoch 80 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=9.11e-05 vw=1.00 2.9s epoch 81 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=8.20e-05 vw=1.00 3.2s epoch 82 train l1=0.0048 vel=0.0018 val l1=0.0058 vel=0.0012 lr=7.34e-05 vw=1.00 2.9s epoch 83 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=6.52e-05 vw=1.00 2.9s epoch 84 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=5.75e-05 vw=1.00 3.0s epoch 85 train l1=0.0048 vel=0.0018 val l1=0.0058 vel=0.0012 lr=5.02e-05 vw=1.00 3.2s epoch 86 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=4.34e-05 vw=1.00 2.9s epoch 87 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=3.70e-05 vw=1.00 3.0s epoch 88 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=3.12e-05 vw=1.00 2.9s epoch 89 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.58e-05 vw=1.00 2.9s epoch 90 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.10e-05 vw=1.00 3.0s epoch 91 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.66e-05 vw=1.00 2.9s epoch 92 train l1=0.0048 vel=0.0018 val l1=0.0056 vel=0.0012 lr=1.27e-05 vw=1.00 2.9s → saved best_expression_v18d (val l1=0.0056) epoch 93 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=9.35e-06 vw=1.00 2.9s epoch 94 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=6.50e-06 vw=1.00 2.9s epoch 95 train l1=0.0048 vel=0.0018 val l1=0.0056 vel=0.0012 lr=4.16e-06 vw=1.00 3.0s → saved best_expression_v18d (val l1=0.0056) epoch 96 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.34e-06 vw=1.00 2.9s epoch 97 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=1.04e-06 vw=1.00 2.9s epoch 98 train l1=0.0048 vel=0.0018 val l1=0.0057 vel=0.0012 lr=2.60e-07 vw=1.00 2.9s epoch 99 train l1=0.0048 vel=0.0018 val l1=0.0056 vel=0.0012 lr=0.00e+00 vw=1.00 3.0s Done. best val l1: 0.0056 checkpoints: /dataset/kemix-engine/package/face/animasync-face-v3/models/v3_face/checkpoints