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/czami4jh epoch 0 train l1=0.1947 vel=0.0069 val l1=0.0717 vel=0.0020 lr=3.74e-04 5.1s → saved best (val l1=0.0717) epoch 1 train l1=0.0756 vel=0.0024 val l1=0.0693 vel=0.0022 lr=7.48e-04 4.8s → saved best (val l1=0.0693) epoch 2 train l1=0.0715 vel=0.0025 val l1=0.0659 vel=0.0023 lr=1.00e-03 4.7s → saved best (val l1=0.0659) epoch 3 train l1=0.0637 vel=0.0031 val l1=0.0489 vel=0.0032 lr=1.00e-03 4.6s → saved best (val l1=0.0489) epoch 4 train l1=0.0446 vel=0.0037 val l1=0.0389 vel=0.0029 lr=9.99e-04 4.6s → saved best (val l1=0.0389) epoch 5 train l1=0.0346 vel=0.0033 val l1=0.0314 vel=0.0022 lr=9.99e-04 4.6s → saved best (val l1=0.0314) epoch 6 train l1=0.0304 vel=0.0029 val l1=0.0275 vel=0.0021 lr=9.98e-04 4.4s → saved best (val l1=0.0275) epoch 7 train l1=0.0281 vel=0.0027 val l1=0.0279 vel=0.0020 lr=9.97e-04 4.3s epoch 8 train l1=0.0260 vel=0.0026 val l1=0.0258 vel=0.0020 lr=9.95e-04 4.7s → saved best (val l1=0.0258) epoch 9 train l1=0.0244 vel=0.0025 val l1=0.0238 vel=0.0019 lr=9.94e-04 4.6s → saved best (val l1=0.0238) epoch 10 train l1=0.0232 vel=0.0024 val l1=0.0232 vel=0.0018 lr=9.92e-04 4.5s → saved best (val l1=0.0232) epoch 11 train l1=0.0226 vel=0.0024 val l1=0.0223 vel=0.0019 lr=9.90e-04 4.5s → saved best (val l1=0.0223) epoch 12 train l1=0.0217 vel=0.0023 val l1=0.0216 vel=0.0019 lr=9.88e-04 4.4s → saved best (val l1=0.0216) epoch 13 train l1=0.0211 vel=0.0023 val l1=0.0215 vel=0.0019 lr=9.85e-04 4.5s → saved best (val l1=0.0215) epoch 14 train l1=0.0207 vel=0.0023 val l1=0.0218 vel=0.0017 lr=9.83e-04 4.4s epoch 15 train l1=0.0203 vel=0.0022 val l1=0.0213 vel=0.0018 lr=9.80e-04 4.4s → saved best (val l1=0.0213) epoch 16 train l1=0.0197 vel=0.0022 val l1=0.0210 vel=0.0018 lr=9.77e-04 4.6s → saved best (val l1=0.0210) epoch 17 train l1=0.0196 vel=0.0022 val l1=0.0208 vel=0.0018 lr=9.74e-04 4.6s → saved best (val l1=0.0208) epoch 18 train l1=0.0191 vel=0.0022 val l1=0.0202 vel=0.0017 lr=9.70e-04 4.6s → saved best (val l1=0.0202) epoch 19 train l1=0.0187 vel=0.0022 val l1=0.0204 vel=0.0017 lr=9.66e-04 4.5s epoch 20 train l1=0.0185 vel=0.0021 val l1=0.0199 vel=0.0017 lr=9.62e-04 4.6s → saved best (val l1=0.0199) epoch 21 train l1=0.0183 vel=0.0021 val l1=0.0201 vel=0.0018 lr=9.58e-04 4.4s epoch 22 train l1=0.0181 vel=0.0021 val l1=0.0196 vel=0.0017 lr=9.54e-04 4.6s → saved best (val l1=0.0196) epoch 23 train l1=0.0178 vel=0.0021 val l1=0.0195 vel=0.0018 lr=9.49e-04 4.2s → saved best (val l1=0.0195) epoch 24 train l1=0.0175 vel=0.0021 val l1=0.0194 vel=0.0017 lr=9.44e-04 4.6s → saved best (val l1=0.0194) epoch 25 train l1=0.0174 vel=0.0021 val l1=0.0197 vel=0.0018 lr=9.39e-04 4.6s epoch 26 train l1=0.0172 vel=0.0021 val l1=0.0202 vel=0.0018 lr=9.34e-04 4.6s epoch 27 train l1=0.0170 vel=0.0021 val l1=0.0195 vel=0.0018 lr=9.29e-04 4.6s epoch 28 train l1=0.0169 vel=0.0021 val l1=0.0197 vel=0.0018 lr=9.23e-04 4.6s epoch 29 train l1=0.0166 vel=0.0021 val l1=0.0196 vel=0.0018 lr=9.17e-04 4.6s epoch 30 train l1=0.0164 vel=0.0021 val l1=0.0193 vel=0.0018 lr=9.12e-04 4.5s → saved best (val l1=0.0193) epoch 31 train l1=0.0163 vel=0.0021 val l1=0.0191 vel=0.0017 lr=9.05e-04 4.5s → saved best (val l1=0.0191) epoch 32 train l1=0.0163 vel=0.0021 val l1=0.0193 vel=0.0018 lr=8.99e-04 4.4s epoch 33 train l1=0.0162 vel=0.0020 val l1=0.0192 vel=0.0017 lr=8.93e-04 4.7s epoch 34 train l1=0.0161 vel=0.0020 val l1=0.0193 vel=0.0017 lr=8.86e-04 4.6s epoch 35 train l1=0.0158 vel=0.0020 val l1=0.0200 vel=0.0019 lr=8.79e-04 4.6s epoch 36 train l1=0.0158 vel=0.0020 val l1=0.0192 vel=0.0018 lr=8.72e-04 4.5s epoch 37 train l1=0.0157 vel=0.0020 val l1=0.0192 vel=0.0017 lr=8.65e-04 4.6s epoch 38 train l1=0.0154 vel=0.0020 val l1=0.0191 vel=0.0018 lr=8.57e-04 4.5s → saved best (val l1=0.0191) epoch 39 train l1=0.0154 vel=0.0020 val l1=0.0188 vel=0.0018 lr=8.50e-04 4.6s → saved best (val l1=0.0188) epoch 40 train l1=0.0153 vel=0.0020 val l1=0.0188 vel=0.0017 lr=8.42e-04 4.6s → saved best (val l1=0.0188) epoch 41 train l1=0.0153 vel=0.0020 val l1=0.0187 vel=0.0018 lr=8.34e-04 4.5s → saved best (val l1=0.0187) epoch 42 train l1=0.0151 vel=0.0020 val l1=0.0190 vel=0.0018 lr=8.26e-04 4.5s epoch 43 train l1=0.0150 vel=0.0020 val l1=0.0190 vel=0.0018 lr=8.18e-04 4.6s epoch 44 train l1=0.0149 vel=0.0020 val l1=0.0189 vel=0.0018 lr=8.10e-04 4.5s epoch 45 train l1=0.0148 vel=0.0020 val l1=0.0193 vel=0.0018 lr=8.01e-04 4.6s epoch 46 train l1=0.0148 vel=0.0020 val l1=0.0188 vel=0.0018 lr=7.93e-04 4.4s epoch 47 train l1=0.0147 vel=0.0020 val l1=0.0188 vel=0.0018 lr=7.84e-04 4.6s epoch 48 train l1=0.0146 vel=0.0020 val l1=0.0189 vel=0.0018 lr=7.75e-04 4.6s epoch 49 train l1=0.0144 vel=0.0020 val l1=0.0194 vel=0.0018 lr=7.66e-04 4.5s epoch 50 train l1=0.0144 vel=0.0020 val l1=0.0188 vel=0.0018 lr=7.57e-04 4.6s epoch 51 train l1=0.0143 vel=0.0020 val l1=0.0189 vel=0.0018 lr=7.48e-04 4.6s epoch 52 train l1=0.0143 vel=0.0020 val l1=0.0189 vel=0.0018 lr=7.39e-04 4.6s epoch 53 train l1=0.0142 vel=0.0019 val l1=0.0187 vel=0.0018 lr=7.29e-04 4.5s → saved best (val l1=0.0187) epoch 54 train l1=0.0140 vel=0.0019 val l1=0.0189 vel=0.0018 lr=7.20e-04 4.6s epoch 55 train l1=0.0140 vel=0.0019 val l1=0.0188 vel=0.0018 lr=7.10e-04 4.6s epoch 56 train l1=0.0139 vel=0.0019 val l1=0.0186 vel=0.0017 lr=7.00e-04 4.5s → saved best (val l1=0.0186) epoch 57 train l1=0.0138 vel=0.0019 val l1=0.0186 vel=0.0018 lr=6.91e-04 4.6s → saved best (val l1=0.0186) epoch 58 train l1=0.0137 vel=0.0019 val l1=0.0186 vel=0.0018 lr=6.81e-04 4.5s → saved best (val l1=0.0186) epoch 59 train l1=0.0137 vel=0.0019 val l1=0.0188 vel=0.0018 lr=6.71e-04 4.4s epoch 60 train l1=0.0136 vel=0.0019 val l1=0.0186 vel=0.0018 lr=6.61e-04 4.7s epoch 61 train l1=0.0136 vel=0.0019 val l1=0.0186 vel=0.0018 lr=6.50e-04 4.5s epoch 62 train l1=0.0135 vel=0.0019 val l1=0.0189 vel=0.0018 lr=6.40e-04 4.6s epoch 63 train l1=0.0134 vel=0.0019 val l1=0.0185 vel=0.0018 lr=6.30e-04 3.7s → saved best (val l1=0.0185) epoch 64 train l1=0.0134 vel=0.0019 val l1=0.0188 vel=0.0018 lr=6.20e-04 3.7s epoch 65 train l1=0.0133 vel=0.0019 val l1=0.0187 vel=0.0018 lr=6.09e-04 3.6s epoch 66 train l1=0.0133 vel=0.0019 val l1=0.0186 vel=0.0018 lr=5.99e-04 3.8s epoch 67 train l1=0.0131 vel=0.0019 val l1=0.0187 vel=0.0018 lr=5.88e-04 3.7s epoch 68 train l1=0.0131 vel=0.0019 val l1=0.0185 vel=0.0018 lr=5.78e-04 3.7s epoch 69 train l1=0.0130 vel=0.0019 val l1=0.0186 vel=0.0018 lr=5.67e-04 3.7s epoch 70 train l1=0.0130 vel=0.0019 val l1=0.0186 vel=0.0018 lr=5.57e-04 3.6s epoch 71 train l1=0.0129 vel=0.0019 val l1=0.0185 vel=0.0018 lr=5.46e-04 3.7s epoch 72 train l1=0.0129 vel=0.0019 val l1=0.0189 vel=0.0019 lr=5.36e-04 3.7s epoch 73 train l1=0.0128 vel=0.0019 val l1=0.0185 vel=0.0018 lr=5.25e-04 3.6s → saved best (val l1=0.0185) epoch 74 train l1=0.0128 vel=0.0019 val l1=0.0184 vel=0.0018 lr=5.14e-04 3.7s → saved best (val l1=0.0184) epoch 75 train l1=0.0127 vel=0.0019 val l1=0.0187 vel=0.0018 lr=5.04e-04 3.6s epoch 76 train l1=0.0127 vel=0.0019 val l1=0.0186 vel=0.0018 lr=4.93e-04 3.7s epoch 77 train l1=0.0126 vel=0.0019 val l1=0.0185 vel=0.0018 lr=4.82e-04 3.6s epoch 78 train l1=0.0126 vel=0.0019 val l1=0.0186 vel=0.0018 lr=4.72e-04 3.6s epoch 79 train l1=0.0125 vel=0.0018 val l1=0.0185 vel=0.0018 lr=4.61e-04 3.8s epoch 80 train l1=0.0125 vel=0.0019 val l1=0.0187 vel=0.0019 lr=4.50e-04 3.8s epoch 81 train l1=0.0124 vel=0.0018 val l1=0.0186 vel=0.0018 lr=4.40e-04 3.9s epoch 82 train l1=0.0124 vel=0.0018 val l1=0.0186 vel=0.0018 lr=4.29e-04 3.7s epoch 83 train l1=0.0123 vel=0.0018 val l1=0.0184 vel=0.0018 lr=4.19e-04 3.7s → saved best (val l1=0.0184) epoch 84 train l1=0.0123 vel=0.0018 val l1=0.0187 vel=0.0018 lr=4.08e-04 3.7s epoch 85 train l1=0.0123 vel=0.0018 val l1=0.0184 vel=0.0018 lr=3.98e-04 3.7s epoch 86 train l1=0.0121 vel=0.0018 val l1=0.0186 vel=0.0018 lr=3.87e-04 3.7s epoch 87 train l1=0.0121 vel=0.0018 val l1=0.0184 vel=0.0018 lr=3.77e-04 3.7s → saved best (val l1=0.0184) epoch 88 train l1=0.0121 vel=0.0018 val l1=0.0184 vel=0.0018 lr=3.67e-04 3.6s → saved best (val l1=0.0184) epoch 89 train l1=0.0121 vel=0.0018 val l1=0.0185 vel=0.0018 lr=3.56e-04 3.7s epoch 90 train l1=0.0120 vel=0.0018 val l1=0.0183 vel=0.0018 lr=3.46e-04 3.7s → saved best (val l1=0.0183) epoch 91 train l1=0.0120 vel=0.0018 val l1=0.0185 vel=0.0018 lr=3.36e-04 3.9s epoch 92 train l1=0.0119 vel=0.0018 val l1=0.0185 vel=0.0018 lr=3.26e-04 3.6s epoch 93 train l1=0.0119 vel=0.0018 val l1=0.0186 vel=0.0018 lr=3.16e-04 3.6s epoch 94 train l1=0.0119 vel=0.0018 val l1=0.0185 vel=0.0018 lr=3.06e-04 3.6s epoch 95 train l1=0.0119 vel=0.0018 val l1=0.0185 vel=0.0018 lr=2.96e-04 3.7s epoch 96 train l1=0.0118 vel=0.0018 val l1=0.0186 vel=0.0018 lr=2.87e-04 3.7s epoch 97 train l1=0.0118 vel=0.0018 val l1=0.0185 vel=0.0019 lr=2.77e-04 3.7s epoch 98 train l1=0.0117 vel=0.0018 val l1=0.0185 vel=0.0018 lr=2.68e-04 3.7s epoch 99 train l1=0.0117 vel=0.0018 val l1=0.0184 vel=0.0018 lr=2.58e-04 3.8s epoch 100 train l1=0.0117 vel=0.0018 val l1=0.0184 vel=0.0018 lr=2.49e-04 3.7s epoch 101 train l1=0.0117 vel=0.0018 val l1=0.0183 vel=0.0018 lr=2.40e-04 3.8s → saved best (val l1=0.0183) epoch 102 train l1=0.0116 vel=0.0018 val l1=0.0184 vel=0.0018 lr=2.31e-04 3.7s epoch 103 train l1=0.0116 vel=0.0018 val l1=0.0183 vel=0.0019 lr=2.22e-04 3.6s epoch 104 train l1=0.0115 vel=0.0018 val l1=0.0184 vel=0.0018 lr=2.13e-04 3.7s epoch 105 train l1=0.0115 vel=0.0018 val l1=0.0185 vel=0.0018 lr=2.04e-04 3.7s epoch 106 train l1=0.0115 vel=0.0018 val l1=0.0185 vel=0.0018 lr=1.96e-04 3.7s epoch 107 train l1=0.0114 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.87e-04 3.7s epoch 108 train l1=0.0114 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.79e-04 3.7s epoch 109 train l1=0.0114 vel=0.0018 val l1=0.0185 vel=0.0019 lr=1.71e-04 3.7s epoch 110 train l1=0.0114 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.63e-04 3.6s epoch 111 train l1=0.0114 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.55e-04 3.8s epoch 112 train l1=0.0114 vel=0.0018 val l1=0.0186 vel=0.0019 lr=1.48e-04 3.7s epoch 113 train l1=0.0114 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.40e-04 3.7s epoch 114 train l1=0.0113 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.33e-04 3.7s epoch 115 train l1=0.0113 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.26e-04 3.7s epoch 116 train l1=0.0112 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.19e-04 3.9s epoch 117 train l1=0.0112 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.12e-04 3.6s epoch 118 train l1=0.0112 vel=0.0018 val l1=0.0185 vel=0.0018 lr=1.05e-04 3.6s epoch 119 train l1=0.0112 vel=0.0018 val l1=0.0184 vel=0.0018 lr=9.89e-05 3.7s epoch 120 train l1=0.0112 vel=0.0018 val l1=0.0183 vel=0.0018 lr=9.26e-05 3.7s → saved best (val l1=0.0183) epoch 121 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=8.65e-05 3.7s epoch 122 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=8.06e-05 3.8s epoch 123 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=7.49e-05 3.7s epoch 124 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=6.94e-05 3.7s epoch 125 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=6.41e-05 3.6s epoch 126 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=5.89e-05 3.7s epoch 127 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=5.40e-05 3.8s epoch 128 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=4.93e-05 3.9s epoch 129 train l1=0.0111 vel=0.0018 val l1=0.0183 vel=0.0018 lr=4.48e-05 4.2s epoch 130 train l1=0.0110 vel=0.0018 val l1=0.0185 vel=0.0018 lr=4.05e-05 3.9s epoch 131 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=3.64e-05 3.8s → saved best (val l1=0.0183) epoch 132 train l1=0.0110 vel=0.0018 val l1=0.0182 vel=0.0018 lr=3.25e-05 3.7s → saved best (val l1=0.0182) epoch 133 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=2.88e-05 3.8s epoch 134 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=2.54e-05 4.3s epoch 135 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=2.21e-05 3.6s epoch 136 train l1=0.0110 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.91e-05 3.6s epoch 137 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.63e-05 3.8s epoch 138 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.37e-05 3.6s epoch 139 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.13e-05 3.6s epoch 140 train l1=0.0109 vel=0.0018 val l1=0.0184 vel=0.0019 lr=9.18e-06 3.7s epoch 141 train l1=0.0109 vel=0.0018 val l1=0.0183 vel=0.0018 lr=7.26e-06 3.6s epoch 142 train l1=0.0109 vel=0.0018 val l1=0.0183 vel=0.0018 lr=5.56e-06 3.7s epoch 143 train l1=0.0110 vel=0.0018 val l1=0.0183 vel=0.0018 lr=4.09e-06 3.7s epoch 144 train l1=0.0109 vel=0.0018 val l1=0.0182 vel=0.0018 lr=2.84e-06 3.6s → saved best (val l1=0.0182) epoch 145 train l1=0.0109 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.82e-06 3.7s epoch 146 train l1=0.0109 vel=0.0018 val l1=0.0183 vel=0.0018 lr=1.02e-06 3.7s epoch 147 train l1=0.0109 vel=0.0018 val l1=0.0183 vel=0.0018 lr=4.55e-07 3.7s epoch 148 train l1=0.0109 vel=0.0018 val l1=0.0184 vel=0.0018 lr=1.14e-07 3.7s epoch 149 train l1=0.0108 vel=0.0017 val l1=0.0183 vel=0.0018 lr=0.00e+00 3.7s Done. best val l1: 0.0182 checkpoints: /dataset/kemix-engine/package/face/animasync-face-v3/models/v3_face/checkpoints