VQTransformer_corruption05/run.log

2022-12-26 18:22:18,693 INFO {
    "batch_size": 128,
    "block_size": 51,
    "clip_dim": 512,
    "code_dim": 512,
    "dataname": "t2m",
    "decay_option": "all",
    "depth": 3,
    "dilation_growth_rate": 3,
    "down_t": 2,
    "drop_out_rate": 0.1,
    "embed_dim_gpt": 1024,
    "eval_iter": 20000,
    "exp_name": "VQTransformer_corruption05",
    "ff_rate": 4,
    "fps": [
        20
    ],
    "gamma": 0.05,
    "if_maxtest": false,
    "lr": 0.0001,
    "lr_scheduler": [
        150000
    ],
    "mu": 0.99,
    "n_head_gpt": 16,
    "nb_code": 512,
    "num_layers": 9,
    "optimizer": "adamw",
    "out_dir": "output/VQTransformer_corruption05",
    "output_emb_width": 512,
    "pkeep": 0.5,
    "print_iter": 200,
    "quantbeta": 1.0,
    "quantizer": "ema_reset",
    "resume_pth": "output/VQVAE/net_last.pth",
    "resume_trans": null,
    "seed": 123,
    "seq_len": 64,
    "stride_t": 2,
    "total_iter": 300000,
    "vq_act": "relu",
    "vq_dir": "./dataset/HumanML3D/VQVAE_last",
    "vq_name": "VQVAE_last",
    "warm_up_iter": 1000,
    "weight_decay": 1e-06,
    "width": 512
}
2022-12-26 18:45:25,263 INFO --> 	 Eva. Iter 0 :, FID. 60.6070, Diversity Real. 9.4718, Diversity. 2.2909, R_precision_real. [0.50465426 0.70611702 0.79654255], R_precision. [0.02593085 0.05452128 0.0837766 ], matching_score_real. 2.9256752348960715, matching_score_pred. 8.73406759221503
2022-12-26 18:50:00,483 INFO --> --> 	 FID Improved from 1000.00000 to 60.60703 !!!
2022-12-26 18:50:02,840 INFO --> --> 	 matching_score Improved from 100.00000 to 8.73407 !!!
2022-12-26 18:50:03,290 INFO --> --> 	 Diversity Improved from 100.00000 to 2.29090 !!!
2022-12-26 18:50:03,290 INFO --> --> 	 Top1 Improved from 0.0000 to 0.0259 !!!
2022-12-26 18:50:03,290 INFO --> --> 	 Top2 Improved from 0.0000 to 0.0545 !!!
2022-12-26 18:50:03,291 INFO --> --> 	 Top3 Improved from 0.0000 to 0.0838 !!!
2022-12-26 19:01:46,354 INFO {
    "batch_size": 128,
    "block_size": 51,
    "clip_dim": 512,
    "code_dim": 512,
    "dataname": "t2m",
    "decay_option": "all",
    "depth": 3,
    "dilation_growth_rate": 3,
    "down_t": 2,
    "drop_out_rate": 0.1,
    "embed_dim_gpt": 1024,
    "eval_iter": 20000,
    "exp_name": "VQTransformer_corruption05",
    "ff_rate": 4,
    "fps": [
        20
    ],
    "gamma": 0.05,
    "if_maxtest": false,
    "lr": 0.0001,
    "lr_scheduler": [
        150000
    ],
    "mu": 0.99,
    "n_head_gpt": 16,
    "nb_code": 512,
    "num_layers": 9,
    "optimizer": "adamw",
    "out_dir": "output/VQTransformer_corruption05",
    "output_emb_width": 512,
    "pkeep": 0.5,
    "print_iter": 200,
    "quantbeta": 1.0,
    "quantizer": "ema_reset",
    "resume_pth": "output/VQVAE/net_last.pth",
    "resume_trans": null,
    "seed": 123,
    "seq_len": 64,
    "stride_t": 2,
    "total_iter": 300000,
    "vq_act": "relu",
    "vq_dir": "./dataset/HumanML3D/VQVAE_last",
    "vq_name": "VQVAE_last",
    "warm_up_iter": 1000,
    "weight_decay": 1e-06,
    "width": 512
}
2022-12-26 19:23:01,891 INFO --> 	 Eva. Iter 0 :, FID. 60.7119, Diversity Real. 9.3564, Diversity. 2.1705, R_precision_real. [0.50598404 0.70944149 0.80119681], R_precision. [0.03191489 0.05851064 0.08577128], matching_score_real. 2.8954573641432093, matching_score_pred. 8.73430053223955
2022-12-26 19:27:40,239 INFO --> --> 	 FID Improved from 1000.00000 to 60.71190 !!!
2022-12-26 19:27:42,693 INFO --> --> 	 matching_score Improved from 100.00000 to 8.73430 !!!
2022-12-26 19:27:42,693 INFO --> --> 	 Diversity Improved from 100.00000 to 2.17046 !!!
2022-12-26 19:27:42,694 INFO --> --> 	 Top1 Improved from 0.0000 to 0.0319 !!!
2022-12-26 19:27:42,694 INFO --> --> 	 Top2 Improved from 0.0000 to 0.0585 !!!
2022-12-26 19:27:42,694 INFO --> --> 	 Top3 Improved from 0.0000 to 0.0858 !!!
2022-12-26 19:30:52,190 INFO Train. Iter 200 : Loss. 5.69207, ACC. 1.1383
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2022-12-27 00:41:56,546 INFO Train. Iter 20000 : Loss. 1.40276, ACC. 45.2888
2022-12-27 00:52:29,579 INFO --> 	 Eva. Iter 20000 :, FID. 0.4518, Diversity Real. 9.5554, Diversity. 9.9532, R_precision_real. [0.51329787 0.69414894 0.79321809], R_precision. [0.45345745 0.64960106 0.74667553], matching_score_real. 2.8828155740778496, matching_score_pred. 3.2854062242710844
2022-12-27 00:55:19,345 INFO --> --> 	 FID Improved from 60.71190 to 0.45176 !!!
2022-12-27 00:55:21,592 INFO --> --> 	 matching_score Improved from 8.73430 to 3.28541 !!!
2022-12-27 00:55:21,592 INFO --> --> 	 Diversity Improved from 2.17046 to 9.95323 !!!
2022-12-27 00:55:21,593 INFO --> --> 	 Top1 Improved from 0.0319 to 0.4535 !!!
2022-12-27 00:55:21,593 INFO --> --> 	 Top2 Improved from 0.0585 to 0.6496 !!!
2022-12-27 00:55:21,593 INFO --> --> 	 Top3 Improved from 0.0858 to 0.7467 !!!
2022-12-27 00:58:30,438 INFO Train. Iter 20200 : Loss. 1.39455, ACC. 45.5767
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2022-12-27 06:19:52,947 INFO --> 	 Eva. Iter 40000 :, FID. 0.4053, Diversity Real. 9.3507, Diversity. 9.8502, R_precision_real. [0.5099734  0.71542553 0.8018617 ], R_precision. [0.47074468 0.66821809 0.76263298], matching_score_real. 2.8867898849730795, matching_score_pred. 3.195799244211075
2022-12-27 06:24:02,205 INFO --> --> 	 FID Improved from 0.45176 to 0.40533 !!!
2022-12-27 06:24:04,574 INFO --> --> 	 matching_score Improved from 3.28541 to 3.19580 !!!
2022-12-27 06:24:04,575 INFO --> --> 	 Diversity Improved from 9.95323 to 9.85017 !!!
2022-12-27 06:24:04,575 INFO --> --> 	 Top1 Improved from 0.4535 to 0.4707 !!!
2022-12-27 06:24:04,575 INFO --> --> 	 Top2 Improved from 0.6496 to 0.6682 !!!
2022-12-27 06:24:04,575 INFO --> --> 	 Top3 Improved from 0.7467 to 0.7626 !!!
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2022-12-27 11:48:39,048 INFO --> 	 Eva. Iter 60000 :, FID. 0.3313, Diversity Real. 9.2932, Diversity. 9.8542, R_precision_real. [0.50598404 0.69414894 0.79587766], R_precision. [0.48470745 0.66156915 0.76595745], matching_score_real. 2.952098587726025, matching_score_pred. 3.1528759256322334
2022-12-27 11:52:52,103 INFO --> --> 	 FID Improved from 0.40533 to 0.33135 !!!
2022-12-27 11:52:54,370 INFO --> --> 	 matching_score Improved from 3.19580 to 3.15288 !!!
2022-12-27 11:52:54,370 INFO --> --> 	 Top1 Improved from 0.4707 to 0.4847 !!!
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2022-12-27 17:17:08,927 INFO --> 	 Eva. Iter 80000 :, FID. 0.2747, Diversity Real. 9.7782, Diversity. 9.7697, R_precision_real. [0.5106383  0.69880319 0.79255319], R_precision. [0.47473404 0.6775266  0.77327128], matching_score_real. 2.8949150633304677, matching_score_pred. 3.1315841167531113
2022-12-27 17:20:52,035 INFO --> --> 	 FID Improved from 0.33135 to 0.27474 !!!
2022-12-27 17:20:54,100 INFO --> --> 	 matching_score Improved from 3.15288 to 3.13158 !!!
2022-12-27 17:20:54,100 INFO --> --> 	 Diversity Improved from 9.85017 to 9.76969 !!!
2022-12-27 17:20:54,100 INFO --> --> 	 Top2 Improved from 0.6682 to 0.6775 !!!
2022-12-27 17:20:54,100 INFO --> --> 	 Top3 Improved from 0.7660 to 0.7733 !!!
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2022-12-27 22:45:56,327 INFO --> 	 Eva. Iter 100000 :, FID. 0.2529, Diversity Real. 9.3595, Diversity. 9.8951, R_precision_real. [0.54587766 0.72273936 0.81382979], R_precision. [0.48670213 0.6875     0.77460106], matching_score_real. 2.8233286167712923, matching_score_pred. 3.113233135101643
2022-12-27 22:49:18,439 INFO --> --> 	 FID Improved from 0.27474 to 0.25293 !!!
2022-12-27 22:49:20,491 INFO --> --> 	 matching_score Improved from 3.13158 to 3.11323 !!!
2022-12-27 22:49:20,491 INFO --> --> 	 Top1 Improved from 0.4847 to 0.4867 !!!
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2022-12-28 04:14:21,130 INFO --> 	 Eva. Iter 120000 :, FID. 0.2442, Diversity Real. 9.5908, Diversity. 9.9165, R_precision_real. [0.53191489 0.69946809 0.78922872], R_precision. [0.48470745 0.66489362 0.7599734 ], matching_score_real. 2.9201194022564176, matching_score_pred. 3.1880485707140984
2022-12-28 04:19:20,475 INFO --> --> 	 FID Improved from 0.25293 to 0.24423 !!!
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2022-12-28 09:44:24,886 INFO --> 	 Eva. Iter 140000 :, FID. 0.2859, Diversity Real. 8.9509, Diversity. 9.8195, R_precision_real. [0.49734043 0.70545213 0.8025266 ], R_precision. [0.49202128 0.67420213 0.76795213], matching_score_real. 2.9229470415318266, matching_score_pred. 3.1337068131629455
2022-12-28 09:49:11,560 INFO --> --> 	 Top1 Improved from 0.4867 to 0.4920 !!!
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2022-12-28 15:14:16,109 INFO --> 	 Eva. Iter 160000 :, FID. 0.2679, Diversity Real. 9.5976, Diversity. 9.9643, R_precision_real. [0.52925532 0.71875    0.81582447], R_precision. [0.49268617 0.67885638 0.77593085], matching_score_real. 2.8925541613964323, matching_score_pred. 3.0685155645329902
2022-12-28 15:18:36,108 INFO --> --> 	 matching_score Improved from 3.11323 to 3.06852 !!!
2022-12-28 15:18:36,119 INFO --> --> 	 Top1 Improved from 0.4920 to 0.4927 !!!
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2022-12-28 20:43:09,490 INFO --> 	 Eva. Iter 180000 :, FID. 0.2421, Diversity Real. 9.5098, Diversity. 9.8960, R_precision_real. [0.5106383  0.71542553 0.8018617 ], R_precision. [0.51529255 0.69015957 0.78656915], matching_score_real. 2.9212079504702952, matching_score_pred. 3.006881581976059
2022-12-28 20:47:35,070 INFO --> --> 	 FID Improved from 0.24423 to 0.24211 !!!
2022-12-28 20:47:37,700 INFO --> --> 	 matching_score Improved from 3.06852 to 3.00688 !!!
2022-12-28 20:47:37,700 INFO --> --> 	 Top1 Improved from 0.4927 to 0.5153 !!!
2022-12-28 20:47:37,700 INFO --> --> 	 Top2 Improved from 0.6875 to 0.6902 !!!
2022-12-28 20:47:37,700 INFO --> --> 	 Top3 Improved from 0.7759 to 0.7866 !!!
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2022-12-29 02:10:44,905 INFO --> 	 Eva. Iter 200000 :, FID. 0.2222, Diversity Real. 9.3351, Diversity. 9.8671, R_precision_real. [0.5        0.69082447 0.78989362], R_precision. [0.5        0.66954787 0.7712766 ], matching_score_real. 2.92290798146674, matching_score_pred. 3.0977434097452368
2022-12-29 02:14:29,244 INFO --> --> 	 FID Improved from 0.24211 to 0.22221 !!!
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2022-12-29 07:37:33,538 INFO --> 	 Eva. Iter 220000 :, FID. 0.2526, Diversity Real. 9.4560, Diversity. 9.4811, R_precision_real. [0.50864362 0.6974734  0.79853723], R_precision. [0.4793883  0.68816489 0.77327128], matching_score_real. 2.8739131815890047, matching_score_pred. 3.069992278484588
2022-12-29 07:42:29,773 INFO --> --> 	 Diversity Improved from 9.76969 to 9.48108 !!!
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2022-12-30 05:32:01,717 INFO --> 	 Eva. Iter 300000 :, FID. 0.1844, Diversity Real. 9.8077, Diversity. 9.8306, R_precision_real. [0.5206117  0.71875    0.80651596], R_precision. [0.49667553 0.68351064 0.77659574], matching_score_real. 2.8520546923292445, matching_score_pred. 3.0656701554643346
2022-12-30 05:36:08,278 INFO --> --> 	 FID Improved from 0.18498 to 0.18444 !!!
2022-12-30 05:36:10,734 INFO --> --> 	 Diversity Improved from 9.48108 to 9.83064 !!!
2022-12-30 05:36:12,587 INFO Train. Iter 300000 : FID. 0.18444, Diversity. 9.8306, TOP1. 0.5153, TOP2. 0.6902, TOP3. 0.7866