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Update logs/humanml3d/pretrain_mtrans/train.log

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- NAME pretain_mtrans
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- GPU 1
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- GPU cuda:0
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- LOG_DIR logs/humanml3d/pretain_mtrans
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- LOG_FILE logs/humanml3d/pretain_mtrans/train.log
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- EXTRA --vq_name pretrain_vq --batch_size 64 --max_epoch 2000 --attnj --attnt --latent_dim 512 --n_heads 8 --train_split train.txt --val_split val.txt
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- ep/it:765- 154 niter:270200 4155m 59s (- 6703m 6s) completed: 38%) loss: 2.3385 acc: 0.4090 lr: 0.0002
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- ep/it:765- 204 niter:270250 4156m 54s (- 6702m 35s) completed: 38%) loss: 2.3926 acc: 0.3962 lr: 0.0002
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- ep/it:765- 254 niter:270300 4158m 22s (- 6702m 56s) completed: 38%) loss: 2.3788 acc: 0.4013 lr: 0.0002
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- ep/it:765- 304 niter:270350 4159m 50s (- 6703m 16s) completed: 38%) loss: 2.3916 acc: 0.4000 lr: 0.0002
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- ==> Eval. Ep 766: FID. 0.1831, Diversity_gt. 9.3751, Diversity_pred. 9.2738, R_precision_gt. [0.51162791 0.69840116 0.79796512], R_precision_pred. [0.4869186 0.66497093 0.76598837], matching_score_gt. 2.894286094709884, matching_score_pred. 3.0876946393833604
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- ==> ==> FID remains 0.09346 !!!
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- ==> Validation:
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- Validation loss:2.845, accuracy:0.350
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- ep/it:766- 1 niter:270400 4164m 20s (- 6708m 31s) completed: 38%) loss: 2.3802 acc: 0.4009 lr: 0.0002
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- ep/it:766- 51 niter:270450 4165m 18s (- 6708m 4s) completed: 38%) loss: 2.3685 acc: 0.4016 lr: 0.0002
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- ep/it:766- 101 niter:270500 4165m 54s (- 6707m 1s) completed: 38%) loss: 2.3599 acc: 0.4039 lr: 0.0002
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- ep/it:766- 151 niter:270550 4166m 31s (- 6706m 1s) completed: 38%) loss: 2.3512 acc: 0.4074 lr: 0.0002
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- ep/it:766- 201 niter:270600 4167m 7s (- 6704m 57s) completed: 38%) loss: 2.3770 acc: 0.3996 lr: 0.0002
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- ep/it:766- 251 niter:270650 4167m 41s (- 6703m 52s) completed: 38%) loss: 2.3564 acc: 0.4065 lr: 0.0002
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- ep/it:766- 301 niter:270700 4168m 17s (- 6702m 49s) completed: 38%) loss: 2.3717 acc: 0.4022 lr: 0.0002
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- ep/it:766- 351 niter:270750 4168m 52s (- 6701m 45s) completed: 38%) loss: 2.3440 acc: 0.4063 lr: 0.0002
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- ==> Eval. Ep 767: FID. 0.1753, Diversity_gt. 9.4888, Diversity_pred. 9.5024, R_precision_gt. [0.51162791 0.70712209 0.81395349], R_precision_pred. [0.47456395 0.67732558 0.77398256], matching_score_gt. 2.8555336497550785, matching_score_pred. 3.1092937491660892
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- ==> ==> FID remains 0.09346 !!!
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- ==> ==> Diversity Improved from 9.37525 to 9.50238 !!!
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- ==> Validation:
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- Validation loss:2.912, accuracy:0.341
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- ep/it:767- 48 niter:270800 4170m 40s (- 6702m 39s) completed: 38%) loss: 2.3535 acc: 0.4043 lr: 0.0002
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- ep/it:767- 98 niter:270850 4171m 15s (- 6701m 35s) completed: 38%) loss: 2.3648 acc: 0.4035 lr: 0.0002
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- ep/it:767- 148 niter:270900 4171m 50s (- 6700m 30s) completed: 38%) loss: 2.3406 acc: 0.4092 lr: 0.0002
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- ep/it:767- 198 niter:270950 4172m 25s (- 6699m 26s) completed: 38%) loss: 2.3778 acc: 0.4011 lr: 0.0002
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- ep/it:767- 248 niter:271000 4173m 0s (- 6698m 21s) completed: 38%) loss: 2.3838 acc: 0.4009 lr: 0.0002
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- ep/it:767- 298 niter:271050 4173m 37s (- 6697m 20s) completed: 38%) loss: 2.4122 acc: 0.3952 lr: 0.0002
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- ep/it:767- 348 niter:271100 4174m 12s (- 6696m 16s) completed: 38%) loss: 2.3713 acc: 0.4014 lr: 0.0002
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- ==> Eval. Ep 768: FID. 0.1618, Diversity_gt. 9.4293, Diversity_pred. 9.3450, R_precision_gt. [0.51090116 0.69767442 0.80377907], R_precision_pred. [0.47674419 0.67659884 0.78270349], matching_score_gt. 2.9597277696742568, matching_score_pred. 3.0716806844223377
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- ==> ==> FID remains 0.09346 !!!
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- ==> Validation:
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- Validation loss:2.876, accuracy:0.347
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- ep/it:768- 45 niter:271150 4176m 0s (- 6697m 10s) completed: 38%) loss: 2.3603 acc: 0.4025 lr: 0.0002
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- ep/it:768- 95 niter:271200 4176m 35s (- 6696m 5s) completed: 38%) loss: 2.3503 acc: 0.4068 lr: 0.0002
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- ep/it:768- 145 niter:271250 4177m 9s (- 6695m 0s) completed: 38%) loss: 2.3447 acc: 0.4082 lr: 0.0002
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- ep/it:768- 195 niter:271300 4177m 45s (- 6693m 57s) completed: 38%) loss: 2.3979 acc: 0.3960 lr: 0.0002
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- ep/it:768- 245 niter:271350 4178m 20s (- 6692m 52s) completed: 38%) loss: 2.3763 acc: 0.4018 lr: 0.0002
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- ep/it:768- 295 niter:271400 4178m 55s (- 6691m 48s) completed: 38%) loss: 2.4143 acc: 0.3954 lr: 0.0002
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- ep/it:768- 345 niter:271450 4179m 30s (- 6690m 44s) completed: 38%) loss: 2.3519 acc: 0.4035 lr: 0.0002
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- ==> Eval. Ep 769: FID. 0.2459, Diversity_gt. 9.6424, Diversity_pred. 9.0710, R_precision_gt. [0.51090116 0.70639535 0.79578488], R_precision_pred. [0.48110465 0.66424419 0.75944767], matching_score_gt. 2.9377262592315674, matching_score_pred. 3.1581250567768895
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- ==> ==> FID remains 0.09346 !!!
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- ==> Validation:
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- Validation loss:2.892, accuracy:0.344
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- ep/it:769- 42 niter:271500 4181m 19s (- 6691m 39s) completed: 38%) loss: 2.3803 acc: 0.3993 lr: 0.0002
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- ep/it:769- 92 niter:271550 4181m 54s (- 6690m 34s) completed: 38%) loss: 2.3690 acc: 0.4028 lr: 0.0002
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- ep/it:769- 142 niter:271600 4182m 29s (- 6689m 31s) completed: 38%) loss: 2.3476 acc: 0.4059 lr: 0.0002
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- ep/it:769- 192 niter:271650 4183m 3s (- 6688m 26s) completed: 38%) loss: 2.3500 acc: 0.4058 lr: 0.0002
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- ep/it:769- 242 niter:271700 4183m 38s (- 6687m 22s) completed: 38%) loss: 2.3614 acc: 0.4044 lr: 0.0002
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- ep/it:769- 292 niter:271750 4184m 13s (- 6686m 18s) completed: 38%) loss: 2.4074 acc: 0.3965 lr: 0.0002
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- ep/it:769- 342 niter:271800 4184m 48s (- 6685m 13s) completed: 38%) loss: 2.3610 acc: 0.4038 lr: 0.0002
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- ==> Eval. Ep 770: FID. 0.1761, Diversity_gt. 9.6158, Diversity_pred. 8.7868, R_precision_gt. [0.5181686 0.68531977 0.78706395], R_precision_pred. [0.48982558 0.67514535 0.77398256], matching_score_gt. 2.953729895658271, matching_score_pred. 3.1161079018615014
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- ==> ==> FID remains 0.09346 !!!
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- Exception: can't set attribute 'lines'
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- Exception: can't set attribute 'lines'
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- Exception: can't set attribute 'lines'
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- ==> Validation:
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- Validation loss:2.915, accuracy:0.343
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- ep/it:770- 39 niter:271850 4186m 37s (- 6686m 7s) completed: 38%) loss: 2.3784 acc: 0.4000 lr: 0.0002
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- ep/it:770- 89 niter:271900 4187m 12s (- 6685m 3s) completed: 38%) loss: 2.3338 acc: 0.4097 lr: 0.0002
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- ep/it:770- 139 niter:271950 4187m 47s (- 6683m 59s) completed: 38%) loss: 2.3401 acc: 0.4087 lr: 0.0002
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- ep/it:770- 189 niter:272000 4188m 23s (- 6682m 56s) completed: 38%) loss: 2.3607 acc: 0.4040 lr: 0.0002
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- ep/it:770- 239 niter:272050 4188m 58s (- 6681m 52s) completed: 38%) loss: 2.3850 acc: 0.3996 lr: 0.0002
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- ep/it:770- 289 niter:272100 4189m 33s (- 6680m 48s) completed: 38%) loss: 2.3888 acc: 0.3999 lr: 0.0002
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- ep/it:770- 339 niter:272150 4190m 8s (- 6679m 44s) completed: 38%) loss: 2.3558 acc: 0.4038 lr: 0.0002