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nohup: ignoring input /scratch/ts1v23/.conda/envs/tlcontrol/lib/python3.10/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) warnings.warn( ------------ Options ------------- batch_size: 64 checkpoints_dir: ./checkpoints cond_drop_prob: 0.1 control: trajectory ctrl_loss: 0.9 dataset_name: t2m dropout: 0.2 eval_every_e: 10 ff_size: 1024 force_mask: False gamma: 0.1 gpu_id: 0 gumbel_sample: False is_continue: False is_train: True latent_dim: 384 log_every: 50 lr: 0.0002 max_epoch: 1500 max_motion_length: 196 milestones: [50000] n_heads: 6 n_layers: 8 name: My_t2m_transformer1201 save_latest: 500 seed: 3407 share_weight: False trans_name: t2m_nlayer8_nhead6_ld384_ff1024_cdp0.1_rvq6ns unit_length: 4 vq_name: rvq_nq1_dc512_nc512 warm_up_iter: 2000 xent: 0.1 -------------- End ---------------- Loading VQ Model /scratch/ts1v23/workspace/new/TLControl/save_weights_vq/best_model_epoch_hml_emaReset.pth latent_dim: 384, ff_size: 1024, nlayers: 8, nheads: 6, dropout: 0.2 Loading CLIP... 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327.43it/s] 31%|βββ | 7231/23384 [00:22<00:50, 319.64it/s] 31%|βββ | 7264/23384 [00:22<00:51, 315.97it/s] 31%|βββ | 7296/23384 [00:23<00:51, 312.05it/s] 31%|ββββ | 7328/23384 [00:23<00:51, 309.73it/s] 31%|ββββ | 7360/23384 [00:23<00:51, 311.63it/s] 32%|ββββ | 7392/23384 [00:23<00:53, 300.87it/s] 32%|ββββ | 7424/23384 [00:23<00:52, 303.93it/s] 32%|ββββ | 7455/23384 [00:23<00:53, 299.82it/s] 32%|ββββ | 7486/23384 [00:23<00:52, 301.50it/s] 32%|ββββ | 7518/23384 [00:23<00:51, 306.67it/s] 32%|ββββ | 7551/23384 [00:23<00:50, 312.43it/s] 32%|ββββ | 7585/23384 [00:23<00:49, 318.23it/s] 33%|ββββ | 7618/23384 [00:24<00:49, 319.56it/s] 33%|ββββ | 7651/23384 [00:24<00:49, 321.08it/s] 33%|ββββ | 7684/23384 [00:24<00:48, 321.90it/s] 33%|ββββ | 7717/23384 [00:24<00:48, 319.78it/s] 33%|ββββ | 7749/23384 [00:24<00:49, 316.79it/s] 33%|ββββ | 7783/23384 [00:24<00:48, 321.32it/s] 33%|ββββ | 7816/23384 [00:24<00:48, 318.93it/s] 34%|ββββ | 7848/23384 [00:24<00:48, 318.13it/s] 34%|ββββ | 7880/23384 [00:24<00:50, 305.21it/s] 34%|ββββ | 7911/23384 [00:25<00:51, 299.58it/s] 34%|ββββ | 7942/23384 [00:25<00:51, 299.96it/s] 34%|ββββ | 7973/23384 [00:25<00:53, 287.81it/s] 34%|ββββ | 8007/23384 [00:25<00:51, 300.04it/s] 34%|ββββ | 8038/23384 [00:25<00:51, 298.98it/s] 35%|ββββ | 8071/23384 [00:25<00:50, 305.82it/s] 35%|ββββ | 8106/23384 [00:25<00:48, 316.82it/s] 35%|ββββ | 8141/23384 [00:25<00:47, 323.22it/s] 35%|ββββ | 8175/23384 [00:25<00:46, 326.35it/s] 35%|ββββ | 8210/23384 [00:25<00:45, 333.03it/s] 35%|ββββ | 8245/23384 [00:26<00:45, 335.71it/s] 35%|ββββ | 8279/23384 [00:26<00:54, 279.41it/s] 36%|ββββ | 8309/23384 [00:26<01:00, 250.58it/s] 36%|ββββ | 8336/23384 [00:26<01:00, 249.22it/s] 36%|ββββ | 8362/23384 [00:26<01:02, 238.49it/s] 36%|ββββ | 8387/23384 [00:26<01:08, 219.58it/s] 36%|ββββ | 8410/23384 [00:26<01:09, 216.36it/s] 36%|ββββ | 8433/23384 [00:26<01:09, 215.96it/s] 36%|ββββ | 8456/23384 [00:27<01:08, 216.86it/s] 36%|ββββ | 8478/23384 [00:27<01:08, 217.54it/s] 36%|ββββ | 8500/23384 [00:27<01:08, 216.59it/s] 36%|ββββ | 8522/23384 [00:27<01:12, 204.20it/s] 37%|ββββ | 8543/23384 [00:27<01:12, 203.55it/s] 37%|ββββ | 8567/23384 [00:27<01:09, 212.66it/s] 37%|ββββ | 8589/23384 [00:27<01:09, 211.97it/s] 37%|ββββ | 8611/23384 [00:27<01:10, 210.73it/s] 37%|ββββ | 8633/23384 [00:27<01:10, 209.35it/s] 37%|ββββ | 8657/23384 [00:28<01:08, 215.89it/s] 37%|ββββ | 8680/23384 [00:28<01:07, 218.76it/s] 37%|ββββ | 8706/23384 [00:28<01:03, 230.73it/s] 37%|ββββ | 8730/23384 [00:28<01:04, 228.30it/s] 37%|ββββ | 8753/23384 [00:28<01:04, 225.26it/s] 38%|ββββ | 8776/23384 [00:28<01:05, 222.86it/s] 38%|ββββ | 8799/23384 [00:28<01:06, 220.60it/s] 38%|ββββ | 8822/23384 [00:28<01:06, 219.85it/s] 38%|ββββ | 8847/23384 [00:28<01:04, 224.53it/s] 38%|ββββ | 8870/23384 [00:28<01:05, 221.61it/s] 38%|ββββ | 8893/23384 [00:29<01:09, 209.76it/s] 38%|ββββ | 8918/23384 [00:29<01:05, 219.46it/s] 38%|ββββ | 8941/23384 [00:29<01:05, 221.64it/s] 38%|ββββ | 8965/23384 [00:29<01:04, 224.87it/s] 38%|ββββ | 8990/23384 [00:29<01:02, 230.62it/s] 39%|ββββ | 9021/23384 [00:29<00:57, 251.63it/s] 39%|ββββ | 9047/23384 [00:29<00:56, 253.27it/s] 39%|ββββ | 9073/23384 [00:29<00:57, 247.83it/s] 39%|ββββ | 9098/23384 [00:29<00:59, 239.86it/s] 39%|ββββ | 9123/23384 [00:30<01:00, 237.35it/s] 39%|ββββ | 9148/23384 [00:30<00:59, 240.10it/s] 39%|ββββ | 9176/23384 [00:30<00:57, 248.57it/s] 39%|ββββ | 9201/23384 [00:30<00:57, 246.29it/s] 39%|ββββ | 9229/23384 [00:30<00:55, 254.50it/s] 40%|ββββ | 9256/23384 [00:30<00:55, 256.57it/s] 40%|ββββ | 9283/23384 [00:30<00:54, 259.86it/s] 40%|ββββ | 9310/23384 [00:30<00:55, 251.99it/s] 40%|ββββ | 9336/23384 [00:30<00:55, 253.11it/s] 40%|ββββ | 9363/23384 [00:31<00:54, 255.90it/s] 40%|ββββ | 9389/23384 [00:31<00:54, 255.49it/s] 40%|ββββ | 9415/23384 [00:31<00:56, 248.25it/s] 40%|ββββ | 9442/23384 [00:31<00:55, 250.82it/s] 40%|ββββ | 9468/23384 [00:31<00:57, 239.94it/s] 41%|ββββ | 9493/23384 [00:31<01:00, 228.80it/s] 41%|ββββ | 9517/23384 [00:31<01:01, 225.94it/s] 41%|ββββ | 9540/23384 [00:31<01:01, 225.36it/s] 41%|ββββ | 9563/23384 [00:31<01:01, 223.23it/s] 41%|ββββ | 9589/23384 [00:31<00:59, 231.84it/s] 41%|ββββ | 9615/23384 [00:32<00:57, 238.18it/s] 41%|ββββ | 9642/23384 [00:32<00:55, 246.30it/s] 41%|βββββ | 9669/23384 [00:32<00:54, 252.87it/s] 41%|βββββ | 9696/23384 [00:32<00:53, 256.43it/s] 42%|βββββ | 9722/23384 [00:32<00:53, 253.06it/s] 42%|βββββ | 9748/23384 [00:32<00:54, 248.16it/s] 42%|βββββ | 9773/23384 [00:32<00:56, 242.94it/s] 42%|βββββ | 9798/23384 [00:32<00:55, 244.44it/s] 42%|βββββ | 9823/23384 [00:32<00:56, 240.55it/s] 42%|βββββ | 9851/23384 [00:33<00:54, 250.39it/s] 42%|βββββ | 9877/23384 [00:33<00:54, 245.67it/s] 42%|βββββ | 9903/23384 [00:33<00:54, 247.93it/s] 42%|βββββ | 9928/23384 [00:33<00:54, 246.17it/s] 43%|βββββ | 9953/23384 [00:33<00:56, 237.98it/s] 43%|βββββ | 9980/23384 [00:33<00:54, 244.23it/s] 43%|βββββ | 10005/23384 [00:33<00:54, 244.35it/s] 43%|βββββ | 10031/23384 [00:33<00:53, 247.54it/s] 43%|βββββ | 10063/23384 [00:33<00:49, 267.48it/s] 43%|βββββ | 10092/23384 [00:33<00:48, 272.73it/s] 43%|βββββ | 10120/23384 [00:34<00:49, 269.23it/s] 43%|βββββ | 10147/23384 [00:34<00:49, 266.00it/s] 44%|βββββ | 10174/23384 [00:34<00:51, 256.50it/s] 44%|βββββ | 10200/23384 [00:34<00:51, 253.84it/s] 44%|βββββ | 10226/23384 [00:34<00:53, 247.92it/s] 44%|βββββ | 10251/23384 [00:34<00:53, 245.07it/s] 44%|βββββ | 10278/23384 [00:34<00:52, 251.77it/s] 44%|βββββ | 10304/23384 [00:34<00:53, 242.30it/s] 44%|βββββ | 10329/23384 [00:34<00:55, 235.20it/s] 44%|βββββ | 10353/23384 [00:35<00:55, 233.28it/s] 44%|βββββ | 10377/23384 [00:35<00:57, 226.11it/s] 44%|βββββ | 10403/23384 [00:35<00:55, 234.34it/s] 45%|βββββ | 10427/23384 [00:35<00:55, 232.46it/s] 45%|βββββ | 10451/23384 [00:35<00:56, 227.23it/s] 45%|βββββ | 10474/23384 [00:35<00:56, 227.10it/s] 45%|βββββ | 10502/23384 [00:35<00:53, 240.09it/s] 45%|βββββ | 10527/23384 [00:35<00:54, 237.06it/s] 45%|βββββ | 10551/23384 [00:35<00:54, 236.35it/s] 45%|βββββ | 10575/23384 [00:36<00:55, 230.63it/s] 45%|βββββ | 10599/23384 [00:36<00:58, 218.12it/s] 45%|βββββ | 10623/23384 [00:36<00:57, 223.69it/s] 46%|βββββ | 10647/23384 [00:36<00:56, 224.89it/s] 46%|βββββ | 10670/23384 [00:36<00:58, 217.77it/s] 46%|βββββ | 10692/23384 [00:36<01:00, 210.19it/s] 46%|βββββ | 10720/23384 [00:36<00:55, 229.64it/s] 46%|βββββ | 10744/23384 [00:36<01:19, 158.87it/s] 46%|βββββ | 10765/23384 [00:37<01:14, 169.40it/s] 46%|βββββ | 10787/23384 [00:37<01:10, 179.63it/s] 46%|βββββ | 10807/23384 [00:37<01:09, 181.81it/s] 46%|βββββ | 10829/23384 [00:37<01:06, 189.70it/s] 46%|βββββ | 10850/23384 [00:37<01:04, 192.86it/s] 46%|βββββ | 10873/23384 [00:37<01:02, 200.52it/s] 47%|βββββ | 10895/23384 [00:37<01:00, 205.66it/s] 47%|βββββ | 10918/23384 [00:37<00:58, 212.40it/s] 47%|βββββ | 10941/23384 [00:37<00:57, 216.12it/s] 47%|βββββ | 10965/23384 [00:37<00:56, 221.28it/s] 47%|βββββ | 10988/23384 [00:38<00:57, 217.30it/s] 47%|βββββ | 11011/23384 [00:38<00:56, 219.62it/s] 47%|βββββ | 11035/23384 [00:38<00:54, 224.70it/s] 47%|βββββ | 11058/23384 [00:38<00:55, 221.63it/s] 47%|βββββ | 11081/23384 [00:38<00:55, 221.52it/s] 47%|βββββ | 11105/23384 [00:38<00:54, 226.01it/s] 48%|βββββ | 11129/23384 [00:38<00:53, 228.91it/s] 48%|βββββ | 11154/23384 [00:38<00:52, 231.31it/s] 48%|βββββ | 11179/23384 [00:38<00:52, 234.59it/s] 48%|βββββ | 11203/23384 [00:38<00:52, 234.03it/s] 48%|βββββ | 11229/23384 [00:39<00:50, 240.84it/s] 48%|βββββ | 11254/23384 [00:39<00:51, 235.21it/s] 48%|βββββ | 11279/23384 [00:39<00:50, 237.88it/s] 48%|βββββ | 11303/23384 [00:39<00:51, 235.30it/s] 48%|βββββ | 11329/23384 [00:39<00:49, 241.16it/s] 49%|βββββ | 11354/23384 [00:39<00:50, 240.07it/s] 49%|βββββ | 11379/23384 [00:39<00:50, 239.80it/s] 49%|βββββ | 11406/23384 [00:39<00:48, 246.68it/s] 49%|βββββ | 11431/23384 [00:39<00:48, 244.64it/s] 49%|βββββ | 11457/23384 [00:40<00:47, 249.09it/s] 49%|βββββ | 11483/23384 [00:40<00:47, 250.30it/s] 49%|βββββ | 11509/23384 [00:40<00:48, 243.13it/s] 49%|βββββ | 11539/23384 [00:40<00:46, 254.63it/s] 49%|βββββ | 11565/23384 [00:40<00:48, 244.58it/s] 50%|βββββ | 11590/23384 [00:40<00:51, 229.40it/s] 50%|βββββ | 11617/23384 [00:40<00:49, 239.85it/s] 50%|βββββ | 11645/23384 [00:40<00:46, 250.30it/s] 50%|βββββ | 11675/23384 [00:40<00:44, 264.20it/s] 50%|βββββ | 11702/23384 [00:41<00:44, 261.39it/s] 50%|βββββ | 11730/23384 [00:41<00:43, 266.18it/s] 50%|βββββ | 11759/23384 [00:41<00:42, 271.14it/s] 50%|βββββ | 11787/23384 [00:41<00:44, 261.08it/s] 51%|βββββ | 11821/23384 [00:41<00:40, 283.17it/s] 51%|βββββ | 11855/23384 [00:41<00:38, 296.60it/s] 51%|βββββ | 11888/23384 [00:41<00:38, 302.13it/s] 51%|βββββ | 11924/23384 [00:41<00:36, 316.70it/s] 51%|βββββ | 11958/23384 [00:41<00:35, 319.23it/s] 51%|ββββββ | 11991/23384 [00:41<00:35, 321.97it/s] 51%|ββββββ | 12024/23384 [00:42<00:35, 317.77it/s] 52%|ββββββ | 12056/23384 [00:42<00:36, 314.21it/s] 52%|ββββββ | 12088/23384 [00:42<00:36, 308.97it/s] 52%|ββββββ | 12120/23384 [00:42<00:36, 309.81it/s] 52%|ββββββ | 12152/23384 [00:42<00:36, 309.78it/s] 52%|ββββββ | 12187/23384 [00:42<00:34, 320.59it/s] 52%|ββββββ | 12220/23384 [00:42<00:35, 314.80it/s] 52%|ββββββ | 12252/23384 [00:42<00:35, 309.78it/s] 53%|ββββββ | 12284/23384 [00:42<00:36, 300.28it/s] 53%|ββββββ | 12316/23384 [00:43<00:36, 304.61it/s] 53%|ββββββ | 12347/23384 [00:43<00:36, 300.69it/s] 53%|ββββββ | 12379/23384 [00:43<00:36, 304.08it/s] 53%|ββββββ | 12412/23384 [00:43<00:35, 311.10it/s] 53%|ββββββ | 12445/23384 [00:43<00:34, 315.04it/s] 53%|ββββββ | 12480/23384 [00:43<00:33, 324.70it/s] 54%|ββββββ | 12516/23384 [00:43<00:32, 332.90it/s] 54%|ββββββ | 12551/23384 [00:43<00:32, 335.64it/s] 54%|ββββββ | 12586/23384 [00:43<00:31, 338.71it/s] 54%|ββββββ | 12621/23384 [00:43<00:31, 340.97it/s] 54%|ββββββ | 12656/23384 [00:44<00:31, 337.63it/s] 54%|ββββββ | 12693/23384 [00:44<00:30, 346.20it/s] 54%|ββββββ | 12731/23384 [00:44<00:30, 354.39it/s] 55%|ββββββ | 12767/23384 [00:44<00:30, 352.21it/s] 55%|ββββββ | 12803/23384 [00:44<00:33, 320.24it/s] 55%|ββββββ | 12836/23384 [00:44<00:34, 308.26it/s] 55%|ββββββ | 12868/23384 [00:44<00:34, 306.05it/s] 55%|ββββββ | 12902/23384 [00:44<00:33, 313.07it/s] 55%|ββββββ | 12934/23384 [00:44<00:33, 314.15it/s] 55%|ββββββ | 12970/23384 [00:45<00:31, 327.15it/s] 56%|ββββββ | 13005/23384 [00:45<00:31, 332.85it/s] 56%|ββββββ | 13042/23384 [00:45<00:30, 340.43it/s] 56%|ββββββ | 13077/23384 [00:45<00:30, 338.22it/s] 56%|ββββββ | 13111/23384 [00:45<00:30, 338.54it/s] 56%|ββββββ | 13145/23384 [00:45<00:30, 335.18it/s] 56%|ββββββ | 13181/23384 [00:45<00:29, 340.64it/s] 57%|ββββββ | 13216/23384 [00:45<00:30, 338.03it/s] 57%|ββββββ | 13253/23384 [00:45<00:29, 346.88it/s] 57%|ββββββ | 13290/23384 [00:45<00:28, 352.40it/s] 57%|ββββββ | 13327/23384 [00:46<00:28, 357.39it/s] 57%|ββββββ | 13364/23384 [00:46<00:27, 358.71it/s] 57%|ββββββ | 13401/23384 [00:46<00:27, 361.01it/s] 57%|ββββββ | 13438/23384 [00:46<00:28, 354.02it/s] 58%|ββββββ | 13475/23384 [00:46<00:27, 357.69it/s] 58%|ββββββ | 13512/23384 [00:46<00:27, 360.80it/s] 58%|ββββββ | 13549/23384 [00:46<00:27, 360.95it/s] 58%|ββββββ | 13586/23384 [00:46<00:27, 362.49it/s] 58%|ββββββ | 13626/23384 [00:46<00:26, 372.28it/s] 58%|ββββββ | 13664/23384 [00:46<00:26, 373.35it/s] 59%|ββββββ | 13702/23384 [00:47<00:26, 365.21it/s] 59%|ββββββ | 13739/23384 [00:47<00:26, 365.25it/s] 59%|ββββββ | 13777/23384 [00:47<00:26, 367.87it/s] 59%|ββββββ | 13816/23384 [00:47<00:25, 370.87it/s] 59%|ββββββ | 13854/23384 [00:47<00:25, 372.16it/s] 59%|ββββββ | 13892/23384 [00:47<00:25, 368.90it/s] 60%|ββββββ | 13929/23384 [00:47<00:25, 368.83it/s] 60%|ββββββ | 13970/23384 [00:47<00:24, 378.32it/s] 60%|ββββββ | 14009/23384 [00:47<00:24, 380.67it/s] 60%|ββββββ | 14048/23384 [00:47<00:25, 370.38it/s] 60%|ββββββ | 14086/23384 [00:48<00:25, 370.60it/s] 60%|ββββββ | 14124/23384 [00:48<00:25, 365.93it/s] 61%|ββββββ | 14162/23384 [00:48<00:25, 367.24it/s] 61%|ββββββ | 14199/23384 [00:48<00:25, 365.62it/s] 61%|ββββββ | 14237/23384 [00:48<00:24, 366.71it/s] 61%|ββββββ | 14274/23384 [00:48<00:25, 364.10it/s] 61%|ββββββ | 14314/23384 [00:48<00:24, 373.26it/s] 61%|βββββββ | 14352/23384 [00:48<00:24, 363.05it/s] 62%|βββββββ | 14389/23384 [00:48<00:25, 348.05it/s] 62%|βββββββ | 14424/23384 [00:49<00:26, 340.96it/s] 62%|βββββββ | 14459/23384 [00:49<00:26, 341.59it/s] 62%|βββββββ | 14494/23384 [00:49<00:26, 341.71it/s] 62%|βββββββ | 14529/23384 [00:49<00:26, 339.49it/s] 62%|βββββββ | 14565/23384 [00:49<00:25, 343.76it/s] 62%|βββββββ | 14600/23384 [00:49<00:25, 345.47it/s] 63%|βββββββ | 14635/23384 [00:49<00:26, 334.13it/s] 63%|βββββββ | 14670/23384 [00:49<00:25, 338.10it/s] 63%|βββββββ | 14706/23384 [00:49<00:25, 341.98it/s] 63%|βββββββ | 14741/23384 [00:49<00:25, 336.70it/s] 63%|βββββββ | 14777/23384 [00:50<00:25, 343.42it/s] 63%|βββββββ | 14813/23384 [00:50<00:24, 346.55it/s] 64%|βββββββ | 14850/23384 [00:50<00:24, 353.24it/s] 64%|βββββββ | 14886/23384 [00:50<00:24, 343.08it/s] 64%|βββββββ | 14922/23384 [00:50<00:24, 347.77it/s] 64%|βββββββ | 14957/23384 [00:50<00:24, 343.06it/s] 64%|βββββββ | 14992/23384 [00:50<00:24, 337.00it/s] 64%|βββββββ | 15026/23384 [00:50<00:25, 322.37it/s] 64%|βββββββ | 15063/23384 [00:50<00:24, 335.56it/s] 65%|βββββββ | 15100/23384 [00:51<00:24, 342.63it/s] 65%|βββββββ | 15135/23384 [00:51<00:24, 339.48it/s] 65%|βββββββ | 15175/23384 [00:51<00:23, 355.10it/s] 65%|βββββββ | 15214/23384 [00:51<00:22, 364.47it/s] 65%|βββββββ | 15251/23384 [00:51<00:22, 364.37it/s] 65%|βββββββ | 15288/23384 [00:51<00:22, 359.73it/s] 66%|βββββββ | 15325/23384 [00:51<00:22, 351.31it/s] 66%|βββββββ | 15362/23384 [00:51<00:22, 356.40it/s] 66%|βββββββ | 15401/23384 [00:51<00:21, 365.41it/s] 66%|βββββββ | 15438/23384 [00:51<00:21, 363.65it/s] 66%|βββββββ | 15475/23384 [00:52<00:21, 365.02it/s] 66%|βββββββ | 15512/23384 [00:52<00:21, 362.58it/s] 66%|βββββββ | 15549/23384 [00:52<00:21, 362.89it/s] 67%|βββββββ | 15586/23384 [00:52<00:22, 346.12it/s] 67%|βββββββ | 15621/23384 [00:52<00:22, 338.02it/s] 67%|βββββββ | 15656/23384 [00:52<00:22, 341.18it/s] 67%|βββββββ | 15694/23384 [00:52<00:21, 350.40it/s] 67%|βββββββ | 15735/23384 [00:52<00:20, 366.06it/s] 67%|βββββββ | 15777/23384 [00:52<00:19, 381.02it/s] 68%|βββββββ | 15816/23384 [00:53<00:20, 368.20it/s] 68%|βββββββ | 15857/23384 [00:53<00:19, 378.56it/s] 68%|βββββββ | 15896/23384 [00:53<00:19, 375.03it/s] 68%|βββββββ | 15934/23384 [00:53<00:19, 372.62it/s] 68%|βββββββ | 15972/23384 [00:53<00:19, 370.85it/s] 68%|βββββββ | 16010/23384 [00:53<00:19, 373.29it/s] 69%|βββββββ | 16049/23384 [00:53<00:19, 377.27it/s] 69%|βββββββ | 16087/23384 [00:53<00:20, 364.48it/s] 69%|βββββββ | 16125/23384 [00:53<00:19, 366.50it/s] 69%|βββββββ | 16164/23384 [00:53<00:19, 371.67it/s] 69%|βββββββ | 16202/23384 [00:54<00:19, 364.24it/s] 69%|βββββββ | 16239/23384 [00:54<00:19, 359.67it/s] 70%|βββββββ | 16276/23384 [00:54<00:19, 357.80it/s] 70%|βββββββ | 16314/23384 [00:54<00:19, 362.04it/s] 70%|βββββββ | 16351/23384 [00:54<00:19, 360.23it/s] 70%|βββββββ | 16391/23384 [00:54<00:18, 371.49it/s] 70%|βββββββ | 16429/23384 [00:54<00:18, 372.31it/s] 70%|βββββββ | 16469/23384 [00:54<00:18, 379.29it/s] 71%|βββββββ | 16507/23384 [00:54<00:18, 373.97it/s] 71%|βββββββ | 16545/23384 [00:54<00:18, 374.46it/s] 71%|βββββββ | 16586/23384 [00:55<00:17, 382.61it/s] 71%|βββββββ | 16625/23384 [00:55<00:17, 382.21it/s] 71%|ββββββββ | 16664/23384 [00:55<00:18, 372.77it/s] 71%|ββββββββ | 16706/23384 [00:55<00:17, 384.92it/s] 72%|ββββββββ | 16747/23384 [00:55<00:16, 390.99it/s] 72%|ββββββββ | 16790/23384 [00:55<00:16, 400.33it/s] 72%|ββββββββ | 16831/23384 [00:55<00:16, 394.26it/s] 72%|ββββββββ | 16871/23384 [00:55<00:16, 393.97it/s] 72%|ββββββββ | 16911/23384 [00:55<00:16, 392.62it/s] 72%|ββββββββ | 16951/23384 [00:56<00:17, 376.74it/s] 73%|ββββββββ | 16989/23384 [00:56<00:16, 377.47it/s] 73%|ββββββββ | 17029/23384 [00:56<00:16, 382.96it/s] 73%|ββββββββ | 17071/23384 [00:56<00:16, 393.66it/s] 73%|ββββββββ | 17114/23384 [00:56<00:15, 402.45it/s] 73%|ββββββββ | 17155/23384 [00:56<00:15, 401.32it/s] 74%|ββββββββ | 17196/23384 [00:56<00:16, 384.35it/s] 74%|ββββββββ | 17235/23384 [00:56<00:16, 379.29it/s] 74%|ββββββββ | 17274/23384 [00:56<00:16, 381.28it/s] 74%|ββββββββ | 17315/23384 [00:56<00:15, 389.26it/s] 74%|ββββββββ | 17355/23384 [00:57<00:15, 390.70it/s] 74%|ββββββββ | 17398/23384 [00:57<00:14, 399.98it/s] 75%|ββββββββ | 17441/23384 [00:57<00:14, 407.78it/s] 75%|ββββββββ | 17482/23384 [00:57<00:14, 406.24it/s] 75%|ββββββββ | 17523/23384 [00:57<00:14, 397.82it/s] 75%|ββββββββ | 17563/23384 [00:57<00:14, 393.02it/s] 75%|ββββββββ | 17603/23384 [00:57<00:14, 388.19it/s] 75%|ββββββββ | 17642/23384 [00:57<00:14, 385.56it/s] 76%|ββββββββ | 17684/23384 [00:57<00:14, 394.85it/s] 76%|ββββββββ | 17725/23384 [00:57<00:14, 396.46it/s] 76%|ββββββββ | 17767/23384 [00:58<00:14, 400.55it/s] 76%|ββββββββ | 17808/23384 [00:58<00:14, 386.42it/s] 76%|ββββββββ | 17847/23384 [00:58<00:14, 378.98it/s] 76%|ββββββββ | 17885/23384 [00:58<00:14, 371.28it/s] 77%|ββββββββ | 17923/23384 [00:58<00:14, 369.92it/s] 77%|ββββββββ | 17961/23384 [00:58<00:15, 359.97it/s] 77%|ββββββββ | 17998/23384 [00:58<00:14, 361.74it/s] 77%|ββββββββ | 18038/23384 [00:58<00:14, 372.31it/s] 77%|ββββββββ | 18078/23384 [00:58<00:14, 378.27it/s] 77%|ββββββββ | 18116/23384 [00:59<00:14, 372.39it/s] 78%|ββββββββ | 18154/23384 [00:59<00:13, 374.49it/s] 78%|ββββββββ | 18193/23384 [00:59<00:13, 376.71it/s] 78%|ββββββββ | 18231/23384 [00:59<00:13, 376.91it/s] 78%|ββββββββ | 18269/23384 [00:59<00:13, 372.32it/s] 78%|ββββββββ | 18309/23384 [00:59<00:13, 379.75it/s] 78%|ββββββββ | 18349/23384 [00:59<00:13, 383.89it/s] 79%|ββββββββ | 18390/23384 [00:59<00:12, 390.65it/s] 79%|ββββββββ | 18430/23384 [00:59<00:12, 392.51it/s] 79%|ββββββββ | 18472/23384 [00:59<00:12, 400.65it/s] 79%|ββββββββ | 18513/23384 [01:00<00:12, 388.31it/s] 79%|ββββββββ | 18552/23384 [01:00<00:12, 387.21it/s] 80%|ββββββββ | 18591/23384 [01:00<00:12, 381.26it/s] 80%|ββββββββ | 18630/23384 [01:00<00:12, 380.71it/s] 80%|ββββββββ | 18669/23384 [01:00<00:12, 373.29it/s] 80%|ββββββββ | 18710/23384 [01:00<00:12, 382.95it/s] 80%|ββββββββ | 18749/23384 [01:00<00:12, 377.24it/s] 80%|ββββββββ | 18787/23384 [01:00<00:12, 377.33it/s] 81%|ββββββββ | 18825/23384 [01:00<00:12, 371.91it/s] 81%|ββββββββ | 18865/23384 [01:00<00:11, 378.07it/s] 81%|ββββββββ | 18903/23384 [01:01<00:11, 376.73it/s] 81%|ββββββββ | 18941/23384 [01:01<00:11, 373.02it/s] 81%|ββββββββ | 18982/23384 [01:01<00:11, 383.68it/s] 81%|βββββββββ | 19025/23384 [01:01<00:11, 395.76it/s] 82%|βββββββββ | 19065/23384 [01:01<00:11, 386.33it/s] 82%|βββββββββ | 19106/23384 [01:01<00:10, 392.86it/s] 82%|βββββββββ | 19146/23384 [01:01<00:10, 390.71it/s] 82%|βββββββββ | 19186/23384 [01:01<00:10, 390.91it/s] 82%|βββββββββ | 19226/23384 [01:01<00:10, 387.97it/s] 82%|βββββββββ | 19268/23384 [01:02<00:10, 394.26it/s] 83%|βββββββββ | 19308/23384 [01:02<00:10, 395.58it/s] 83%|βββββββββ | 19349/23384 [01:02<00:10, 398.92it/s] 83%|βββββββββ | 19389/23384 [01:02<00:10, 385.68it/s] 83%|βββββββββ | 19428/23384 [01:02<00:10, 379.00it/s] 83%|βββββββββ | 19469/23384 [01:02<00:10, 385.33it/s] 83%|βββββββββ | 19508/23384 [01:02<00:10, 379.12it/s] 84%|βββββββββ | 19546/23384 [01:02<00:10, 377.34it/s] 84%|βββββββββ | 19586/23384 [01:02<00:09, 381.37it/s] 84%|βββββββββ | 19625/23384 [01:02<00:09, 377.47it/s] 84%|βββββββββ | 19663/23384 [01:03<00:09, 376.78it/s] 84%|βββββββββ | 19701/23384 [01:03<00:09, 376.50it/s] 84%|βββββββββ | 19739/23384 [01:03<00:09, 370.59it/s] 85%|βββββββββ | 19777/23384 [01:03<00:09, 373.26it/s] 85%|βββββββββ | 19815/23384 [01:03<00:09, 370.84it/s] 85%|βββββββββ | 19853/23384 [01:03<00:09, 372.97it/s] 85%|βββββββββ | 19895/23384 [01:03<00:09, 384.49it/s] 85%|βββββββββ | 19934/23384 [01:03<00:08, 383.34it/s] 85%|βββββββββ | 19974/23384 [01:03<00:08, 388.11it/s] 86%|βββββββββ | 20013/23384 [01:03<00:08, 383.03it/s] 86%|βββββββββ | 20054/23384 [01:04<00:08, 390.42it/s] 86%|βββββββββ | 20094/23384 [01:04<00:08, 388.97it/s] 86%|βββββββββ | 20133/23384 [01:04<00:08, 383.77it/s] 86%|βββββββββ | 20173/23384 [01:04<00:08, 385.77it/s] 86%|βββββββββ | 20213/23384 [01:04<00:08, 388.54it/s] 87%|βββββββββ | 20253/23384 [01:04<00:08, 390.62it/s] 87%|βββββββββ | 20293/23384 [01:04<00:07, 389.50it/s] 87%|βββββββββ | 20332/23384 [01:04<00:07, 386.18it/s] 87%|βββββββββ | 20373/23384 [01:04<00:07, 392.22it/s] 87%|βββββββββ | 20416/23384 [01:05<00:07, 403.02it/s] 87%|βββββββββ | 20459/23384 [01:05<00:07, 410.37it/s] 88%|βββββββββ | 20501/23384 [01:05<00:06, 413.14it/s] 88%|βββββββββ | 20546/23384 [01:05<00:06, 422.98it/s] 88%|βββββββββ | 20589/23384 [01:05<00:06, 422.96it/s] 88%|βββββββββ | 20632/23384 [01:05<00:06, 420.41it/s] 88%|βββββββββ | 20675/23384 [01:05<00:06, 418.88it/s] 89%|βββββββββ | 20717/23384 [01:05<00:06, 418.90it/s] 89%|βββββββββ | 20759/23384 [01:05<00:06, 408.58it/s] 89%|βββββββββ | 20800/23384 [01:05<00:06, 404.01it/s] 89%|βββββββββ | 20845/23384 [01:06<00:06, 417.23it/s] 89%|βββββββββ | 20887/23384 [01:06<00:06, 411.24it/s] 90%|βββββββββ | 20929/23384 [01:06<00:06, 407.68it/s] 90%|βββββββββ | 20972/23384 [01:06<00:05, 413.41it/s] 90%|βββββββββ | 21014/23384 [01:06<00:05, 402.99it/s] 90%|βββββββββ | 21057/23384 [01:06<00:05, 409.11it/s] 90%|βββββββββ | 21099/23384 [01:06<00:05, 410.91it/s] 90%|βββββββββ | 21143/23384 [01:06<00:05, 418.93it/s] 91%|βββββββββ | 21185/23384 [01:06<00:05, 417.58it/s] 91%|βββββββββ | 21227/23384 [01:06<00:05, 415.99it/s] 91%|βββββββββ | 21269/23384 [01:07<00:05, 410.61it/s] 91%|βββββββββ | 21311/23384 [01:07<00:05, 409.45it/s] 91%|ββββββββββ| 21352/23384 [01:07<00:05, 395.27it/s] 91%|ββββββββββ| 21392/23384 [01:07<00:05, 387.77it/s] 92%|ββββββββββ| 21431/23384 [01:07<00:05, 382.09it/s] 92%|ββββββββββ| 21472/23384 [01:07<00:04, 387.62it/s] 92%|ββββββββββ| 21511/23384 [01:07<00:04, 381.76it/s] 92%|ββββββββββ| 21555/23384 [01:07<00:04, 396.90it/s] 92%|ββββββββββ| 21595/23384 [01:07<00:04, 392.68it/s] 93%|ββββββββββ| 21635/23384 [01:08<00:04, 386.42it/s] 93%|ββββββββββ| 21675/23384 [01:08<00:04, 388.11it/s] 93%|ββββββββββ| 21714/23384 [01:08<00:04, 388.27it/s] 93%|ββββββββββ| 21753/23384 [01:08<00:04, 380.91it/s] 93%|ββββββββββ| 21794/23384 [01:08<00:04, 386.93it/s] 93%|ββββββββββ| 21833/23384 [01:08<00:04, 387.30it/s] 94%|ββββββββββ| 21873/23384 [01:08<00:03, 388.06it/s] 94%|ββββββββββ| 21912/23384 [01:08<00:03, 386.13it/s] 94%|ββββββββββ| 21953/23384 [01:08<00:03, 392.24it/s] 94%|ββββββββββ| 21994/23384 [01:08<00:03, 395.12it/s] 94%|ββββββββββ| 22034/23384 [01:09<00:03, 393.41it/s] 94%|ββββββββββ| 22076/23384 [01:09<00:03, 400.19it/s] 95%|ββββββββββ| 22117/23384 [01:09<00:03, 401.51it/s] 95%|ββββββββββ| 22158/23384 [01:09<00:03, 401.81it/s] 95%|ββββββββββ| 22203/23384 [01:09<00:02, 414.04it/s] 95%|ββββββββββ| 22245/23384 [01:09<00:02, 415.09it/s] 95%|ββββββββββ| 22287/23384 [01:09<00:02, 408.06it/s] 95%|ββββββββββ| 22328/23384 [01:09<00:02, 404.27it/s] 96%|ββββββββββ| 22369/23384 [01:09<00:02, 404.51it/s] 96%|ββββββββββ| 22411/23384 [01:09<00:02, 406.63it/s] 96%|ββββββββββ| 22452/23384 [01:10<00:02, 400.54it/s] 96%|ββββββββββ| 22493/23384 [01:10<00:02, 396.09it/s] 96%|ββββββββββ| 22534/23384 [01:10<00:02, 397.71it/s] 97%|ββββββββββ| 22574/23384 [01:10<00:02, 398.00it/s] 97%|ββββββββββ| 22616/23384 [01:10<00:01, 403.39it/s] 97%|ββββββββββ| 22658/23384 [01:10<00:01, 407.52it/s] 97%|ββββββββββ| 22703/23384 [01:10<00:01, 418.33it/s] 97%|ββββββββββ| 22745/23384 [01:10<00:01, 406.51it/s] 97%|ββββββββββ| 22786/23384 [01:10<00:01, 405.24it/s] 98%|ββββββββββ| 22830/23384 [01:10<00:01, 413.23it/s] 98%|ββββββββββ| 22872/23384 [01:11<00:01, 412.84it/s] 98%|ββββββββββ| 22914/23384 [01:11<00:01, 414.19it/s] 98%|ββββββββββ| 22956/23384 [01:11<00:01, 405.86it/s] 98%|ββββββββββ| 22997/23384 [01:11<00:00, 403.04it/s] 99%|ββββββββββ| 23038/23384 [01:11<00:00, 393.89it/s] 99%|ββββββββββ| 23078/23384 [01:11<00:00, 384.40it/s] 99%|ββββββββββ| 23117/23384 [01:11<00:00, 375.05it/s] 99%|ββββββββββ| 23155/23384 [01:11<00:00, 367.07it/s] 99%|ββββββββββ| 23195/23384 [01:11<00:00, 374.61it/s] 99%|ββββββββββ| 23233/23384 [01:12<00:00, 370.63it/s] 100%|ββββββββββ| 23271/23384 [01:12<00:00, 371.18it/s] 100%|ββββββββββ| 23309/23384 [01:12<00:00, 373.71it/s] 100%|ββββββββββ| 23347/23384 [01:12<00:00, 371.94it/s] 100%|ββββββββββ| 23384/23384 [01:12<00:00, 322.69it/s] 0%| | 0/1460 [00:00<?, ?it/s] 3%|β | 38/1460 [00:00<00:03, 375.59it/s] 5%|β | 76/1460 [00:00<00:03, 360.27it/s] 8%|β | 116/1460 [00:00<00:03, 374.34it/s] 11%|β | 154/1460 [00:00<00:03, 374.25it/s] 13%|ββ | 194/1460 [00:00<00:03, 382.18it/s] 16%|ββ | 233/1460 [00:00<00:03, 382.60it/s] 19%|ββ | 273/1460 [00:00<00:03, 386.78it/s] 22%|βββ | 315/1460 [00:00<00:02, 394.42it/s] 24%|βββ | 355/1460 [00:00<00:02, 390.44it/s] 27%|βββ | 398/1460 [00:01<00:02, 400.07it/s] 30%|βββ | 440/1460 [00:01<00:02, 403.39it/s] 33%|ββββ | 481/1460 [00:01<00:02, 389.72it/s] 36%|ββββ | 521/1460 [00:01<00:02, 372.21it/s] 38%|ββββ | 559/1460 [00:01<00:02, 365.58it/s] 41%|ββββ | 596/1460 [00:01<00:02, 362.97it/s] 43%|βββββ | 633/1460 [00:01<00:02, 359.81it/s] 46%|βββββ | 673/1460 [00:01<00:02, 370.65it/s] 49%|βββββ | 713/1460 [00:01<00:01, 376.48it/s] 51%|ββββββ | 751/1460 [00:01<00:01, 368.34it/s] 54%|ββββββ | 788/1460 [00:02<00:03, 223.15it/s] 57%|ββββββ | 826/1460 [00:02<00:02, 253.54it/s] 59%|ββββββ | 863/1460 [00:02<00:02, 278.06it/s] 62%|βββββββ | 898/1460 [00:02<00:01, 292.89it/s] 64%|βββββββ | 936/1460 [00:02<00:01, 313.36it/s] 67%|βββββββ | 976/1460 [00:02<00:01, 334.49it/s] 69%|βββββββ | 1012/1460 [00:02<00:01, 336.95it/s] 72%|ββββββββ | 1051/1460 [00:03<00:01, 349.96it/s] 75%|ββββββββ | 1089/1460 [00:03<00:01, 357.07it/s] 77%|ββββββββ | 1128/1460 [00:03<00:00, 364.51it/s] 80%|ββββββββ | 1169/1460 [00:03<00:00, 377.63it/s] 83%|βββββββββ | 1208/1460 [00:03<00:00, 378.28it/s] 85%|βββββββββ | 1247/1460 [00:03<00:00, 376.93it/s] 88%|βββββββββ | 1285/1460 [00:03<00:00, 370.18it/s] 91%|βββββββββ | 1324/1460 [00:03<00:00, 373.74it/s] 93%|ββββββββββ| 1362/1460 [00:03<00:00, 370.79it/s] 96%|ββββββββββ| 1401/1460 [00:03<00:00, 375.54it/s] 99%|ββββββββββ| 1439/1460 [00:04<00:00, 372.04it/s] 100%|ββββββββββ| 1460/1460 [00:04<00:00, 354.18it/s] Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt Loading dataset t2m ... 0%| | 0/1460 [00:00<?, ?it/s] 10%|β | 140/1460 [00:00<00:00, 1381.37it/s] 19%|ββ | 280/1460 [00:00<00:00, 1386.96it/s] 29%|βββ | 429/1460 [00:00<00:00, 1430.50it/s] 39%|ββββ | 573/1460 [00:00<00:00, 1366.20it/s] 49%|βββββ | 713/1460 [00:00<00:00, 1377.54it/s] 58%|ββββββ | 852/1460 [00:00<00:00, 1377.53it/s] 68%|βββββββ | 993/1460 [00:00<00:00, 1387.90it/s] 78%|ββββββββ | 1146/1460 [00:00<00:00, 1431.30it/s] 91%|βββββββββ | 1331/1460 [00:00<00:00, 1560.20it/s] 100%|ββββββββββ| 1460/1460 [00:00<00:00, 1481.66it/s] Pointer Pointing at 0 Ground Truth Dataset Loading Completed!!! Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt Loading Evaluation Model Wrapper (Epoch 28) Completed!! Total Epochs: 1500, Total Iters: 574500 Iters Per Epoch, Training: 0383, Validation: 023 --> Eva. Ep 0 :, FID. 28.8010, Diversity Real. 9.3754, Diversity. 4.0470, R_precision_real. [0.50265957 0.7087766 0.79787234], R_precision. [0.03457447 0.06316489 0.09840426], matching_score_real. 2.963627576828003, matching_score_pred. 7.9468278884887695 --> --> FID Improved from 100.00000 to 28.80096 !!! --> --> matching_score Improved from 100.00000 to 7.94683 !!! --> --> Diversity Improved from 100.00000 to 4.04696 !!! --> --> Top1 Improved from 0.0000 to 0.0346 !!! --> --> Top2 Improved from 0.0000 to 0.0632 !!! --> --> Top3 Improved from 0.0000 to 0.0984 !!! ep/it: 0- 49 niter: 50 0m 38s (- 7319m 11s) completed: 0%) loss_emb: 0.0069 loss: 4.8114 acc: 0.0315 lr: 0.0000 ep/it: 0- 99 niter: 100 0m 59s (- 5734m 10s) completed: 0%) loss_emb: 0.0067 loss: 4.2911 acc: 0.1639 lr: 0.0000 ep/it: 0- 149 niter: 150 1m 21s (- 5198m 41s) completed: 0%) loss_emb: 0.0064 loss: 3.9612 acc: 0.1725 lr: 0.0000 ep/it: 0- 199 niter: 200 1m 42s (- 4918m 15s) completed: 0%) loss_emb: 0.0063 loss: 3.8148 acc: 0.1749 lr: 0.0000 ep/it: 0- 249 niter: 250 2m 4s (- 4750m 6s) completed: 0%) loss_emb: 0.0063 loss: 3.7379 acc: 0.1884 lr: 0.0000 ep/it: 0- 299 niter: 300 2m 25s (- 4630m 8s) completed: 0%) loss_emb: 0.0062 loss: 3.6899 acc: 0.1937 lr: 0.0000 ep/it: 0- 349 niter: 350 2m 46s (- 4554m 36s) completed: 0%) loss_emb: 0.0062 loss: 3.6731 acc: 0.1935 lr: 0.0000 Validation time: ep/it: 1- 16 niter: 400 3m 8s (- 4501m 44s) completed: 0%) loss_emb: 0.0062 loss: 3.6392 acc: 0.1953 lr: 0.0000 ep/it: 1- 66 niter: 450 3m 29s (- 4449m 36s) completed: 0%) loss_emb: 0.0061 loss: 3.5968 acc: 0.1992 lr: 0.0000 ep/it: 1- 116 niter: 500 3m 50s (- 4405m 14s) completed: 0%) loss_emb: 0.0061 loss: 3.5408 acc: 0.2054 lr: 0.0000 ep/it: 1- 166 niter: 550 4m 11s (- 4379m 50s) completed: 0%) loss_emb: 0.0060 loss: 3.4866 acc: 0.2097 lr: 0.0001 ep/it: 1- 216 niter: 600 4m 33s (- 4352m 10s) completed: 0%) loss_emb: 0.0059 loss: 3.4277 acc: 0.2163 lr: 0.0001 ep/it: 1- 266 niter: 650 4m 54s (- 4328m 51s) completed: 0%) loss_emb: 0.0059 loss: 3.4013 acc: 0.2190 lr: 0.0001 ep/it: 1- 316 niter: 700 5m 15s (- 4311m 57s) completed: 0%) loss_emb: 0.0059 loss: 3.3657 acc: 0.2245 lr: 0.0001 ep/it: 1- 366 niter: 750 5m 36s (- 4296m 38s) completed: 0%) loss_emb: 0.0058 loss: 3.3460 acc: 0.2262 lr: 0.0001 Validation time: ep/it: 2- 33 niter: 800 5m 59s (- 4292m 56s) completed: 0%) loss_emb: 0.0057 loss: 3.2723 acc: 0.2399 lr: 0.0001 ep/it: 2- 83 niter: 850 6m 20s (- 4278m 50s) completed: 0%) loss_emb: 0.0057 loss: 3.2633 acc: 0.2430 lr: 0.0001 ep/it: 2- 133 niter: 900 6m 41s (- 4268m 34s) completed: 0%) loss_emb: 0.0056 loss: 3.1887 acc: 0.2565 lr: 0.0001 ep/it: 2- 183 niter: 950 7m 3s (- 4256m 55s) completed: 0%) loss_emb: 0.0056 loss: 3.1740 acc: 0.2604 lr: 0.0001 ep/it: 2- 233 niter: 1000 7m 24s (- 4247m 43s) completed: 0%) loss_emb: 0.0055 loss: 3.0997 acc: 0.2766 lr: 0.0001 ep/it: 2- 283 niter: 1050 7m 46s (- 4244m 25s) completed: 0%) loss_emb: 0.0054 loss: 3.0507 acc: 0.2901 lr: 0.0001 ep/it: 2- 333 niter: 1100 8m 7s (- 4236m 13s) completed: 0%) loss_emb: 0.0054 loss: 3.0024 acc: 0.3002 lr: 0.0001 Validation time: ep/it: 3- 0 niter: 1150 8m 29s (- 4232m 22s) completed: 0%) loss_emb: 0.0053 loss: 2.9265 acc: 0.3181 lr: 0.0001 ep/it: 3- 50 niter: 1200 8m 51s (- 4228m 18s) completed: 0%) loss_emb: 0.0052 loss: 2.8706 acc: 0.3278 lr: 0.0001 ep/it: 3- 100 niter: 1250 9m 12s (- 4221m 30s) completed: 0%) loss_emb: 0.0051 loss: 2.8023 acc: 0.3441 lr: 0.0001 ep/it: 3- 150 niter: 1300 9m 34s (- 4219m 43s) completed: 0%) loss_emb: 0.0051 loss: 2.7822 acc: 0.3486 lr: 0.0001 ep/it: 3- 200 niter: 1350 9m 55s (- 4211m 1s) completed: 0%) loss_emb: 0.0050 loss: 2.7269 acc: 0.3607 lr: 0.0001 ep/it: 3- 250 niter: 1400 10m 16s (- 4207m 29s) completed: 0%) loss_emb: 0.0049 loss: 2.6480 acc: 0.3773 lr: 0.0001 ep/it: 3- 300 niter: 1450 10m 37s (- 4201m 2s) completed: 0%) loss_emb: 0.0048 loss: 2.6044 acc: 0.3896 lr: 0.0001 ep/it: 3- 350 niter: 1500 10m 59s (- 4196m 4s) completed: 0%) loss_emb: 0.0048 loss: 2.5574 acc: 0.4000 lr: 0.0001 Validation time: ep/it: 4- 17 niter: 1550 11m 20s (- 4195m 5s) completed: 0%) loss_emb: 0.0047 loss: 2.4792 acc: 0.4154 lr: 0.0002 ep/it: 4- 67 niter: 1600 11m 42s (- 4189m 59s) completed: 0%) loss_emb: 0.0046 loss: 2.4085 acc: 0.4304 lr: 0.0002 ep/it: 4- 117 niter: 1650 12m 3s (- 4187m 48s) completed: 0%) loss_emb: 0.0045 loss: 2.3899 acc: 0.4370 lr: 0.0002 ep/it: 4- 167 niter: 1700 12m 25s (- 4184m 45s) completed: 0%) loss_emb: 0.0045 loss: 2.3594 acc: 0.4431 lr: 0.0002 ep/it: 4- 217 niter: 1750 12m 46s (- 4180m 33s) completed: 0%) loss_emb: 0.0044 loss: 2.2895 acc: 0.4576 lr: 0.0002 ep/it: 4- 267 niter: 1800 13m 7s (- 4177m 35s) completed: 0%) loss_emb: 0.0043 loss: 2.2598 acc: 0.4656 lr: 0.0002 ep/it: 4- 317 niter: 1850 13m 29s (- 4174m 3s) completed: 0%) loss_emb: 0.0042 loss: 2.1764 acc: 0.4834 lr: 0.0002 ep/it: 4- 367 niter: 1900 13m 50s (- 4170m 58s) completed: 0%) loss_emb: 0.0042 loss: 2.1951 acc: 0.4795 lr: 0.0002 Validation time: ep/it: 5- 34 niter: 1950 14m 12s (- 4172m 0s) completed: 0%) loss_emb: 0.0042 loss: 2.1487 acc: 0.4910 lr: 0.0002 ep/it: 5- 84 niter: 2000 14m 33s (- 4169m 12s) completed: 0%) loss_emb: 0.0041 loss: 2.0978 acc: 0.5021 lr: 0.0002 ep/it: 5- 134 niter: 2050 14m 55s (- 4166m 14s) completed: 0%) loss_emb: 0.0040 loss: 2.0324 acc: 0.5167 lr: 0.0002 ep/it: 5- 184 niter: 2100 15m 16s (- 4162m 5s) completed: 0%) loss_emb: 0.0040 loss: 2.0227 acc: 0.5201 lr: 0.0002 ep/it: 5- 234 niter: 2150 15m 37s (- 4160m 1s) completed: 0%) loss_emb: 0.0040 loss: 2.0007 acc: 0.5241 lr: 0.0002 ep/it: 5- 284 niter: 2200 15m 58s (- 4156m 43s) completed: 0%) loss_emb: 0.0039 loss: 1.9729 acc: 0.5308 lr: 0.0002 ep/it: 5- 334 niter: 2250 16m 20s (- 4154m 35s) completed: 0%) loss_emb: 0.0039 loss: 1.9446 acc: 0.5367 lr: 0.0002 Validation time: ep/it: 6- 1 niter: 2300 16m 42s (- 4155m 25s) completed: 0%) loss_emb: 0.0038 loss: 1.9180 acc: 0.5424 lr: 0.0002 ep/it: 6- 51 niter: 2350 17m 3s (- 4152m 43s) completed: 0%) loss_emb: 0.0038 loss: 1.9010 acc: 0.5484 lr: 0.0002 ep/it: 6- 101 niter: 2400 17m 24s (- 4150m 42s) completed: 0%) loss_emb: 0.0037 loss: 1.8434 acc: 0.5588 lr: 0.0002 ep/it: 6- 151 niter: 2450 17m 45s (- 4147m 46s) completed: 0%) loss_emb: 0.0037 loss: 1.8689 acc: 0.5539 lr: 0.0002 ep/it: 6- 201 niter: 2500 18m 7s (- 4145m 27s) completed: 0%) loss_emb: 0.0037 loss: 1.8555 acc: 0.5565 lr: 0.0002 ep/it: 6- 251 niter: 2550 18m 28s (- 4144m 3s) completed: 0%) loss_emb: 0.0037 loss: 1.8319 acc: 0.5611 lr: 0.0002 ep/it: 6- 301 niter: 2600 18m 49s (- 4142m 4s) completed: 0%) loss_emb: 0.0036 loss: 1.8078 acc: 0.5680 lr: 0.0002 ep/it: 6- 351 niter: 2650 19m 11s (- 4139m 50s) completed: 0%) loss_emb: 0.0036 loss: 1.7627 acc: 0.5779 lr: 0.0002 Validation time: ep/it: 7- 18 niter: 2700 19m 32s (- 4139m 17s) completed: 0%) loss_emb: 0.0036 loss: 1.7902 acc: 0.5707 lr: 0.0002 ep/it: 7- 68 niter: 2750 19m 54s (- 4137m 31s) completed: 0%) loss_emb: 0.0036 loss: 1.7656 acc: 0.5761 lr: 0.0002 ep/it: 7- 118 niter: 2800 20m 15s (- 4136m 0s) completed: 0%) loss_emb: 0.0035 loss: 1.7620 acc: 0.5769 lr: 0.0002 ep/it: 7- 168 niter: 2850 20m 36s (- 4134m 4s) completed: 0%) loss_emb: 0.0035 loss: 1.7141 acc: 0.5891 lr: 0.0002 ep/it: 7- 218 niter: 2900 20m 57s (- 4131m 45s) completed: 0%) loss_emb: 0.0035 loss: 1.7324 acc: 0.5832 lr: 0.0002 ep/it: 7- 268 niter: 2950 21m 18s (- 4128m 36s) completed: 0%) loss_emb: 0.0035 loss: 1.7443 acc: 0.5808 lr: 0.0002 ep/it: 7- 318 niter: 3000 21m 40s (- 4127m 47s) completed: 0%) loss_emb: 0.0034 loss: 1.7044 acc: 0.5906 lr: 0.0002 ep/it: 7- 368 niter: 3050 22m 1s (- 4127m 56s) completed: 0%) loss_emb: 0.0034 loss: 1.6672 acc: 0.5985 lr: 0.0002 Validation time: ep/it: 8- 35 niter: 3100 22m 24s (- 4129m 27s) completed: 0%) loss_emb: 0.0034 loss: 1.6611 acc: 0.5981 lr: 0.0002 ep/it: 8- 85 niter: 3150 22m 45s (- 4128m 14s) completed: 0%) loss_emb: 0.0034 loss: 1.6557 acc: 0.6007 lr: 0.0002 ep/it: 8- 135 niter: 3200 23m 7s (- 4128m 28s) completed: 0%) loss_emb: 0.0034 loss: 1.6610 acc: 0.5992 lr: 0.0002 ep/it: 8- 185 niter: 3250 23m 28s (- 4126m 49s) completed: 0%) loss_emb: 0.0034 loss: 1.6708 acc: 0.5974 lr: 0.0002 ep/it: 8- 235 niter: 3300 23m 49s (- 4125m 9s) completed: 0%) loss_emb: 0.0033 loss: 1.6268 acc: 0.6082 lr: 0.0002 ep/it: 8- 285 niter: 3350 24m 11s (- 4123m 5s) completed: 0%) loss_emb: 0.0033 loss: 1.6365 acc: 0.6056 lr: 0.0002 ep/it: 8- 335 niter: 3400 24m 32s (- 4121m 12s) completed: 0%) loss_emb: 0.0033 loss: 1.6251 acc: 0.6069 lr: 0.0002 Validation time: ep/it: 9- 2 niter: 3450 24m 54s (- 4121m 43s) completed: 0%) loss_emb: 0.0033 loss: 1.6401 acc: 0.6037 lr: 0.0002 ep/it: 9- 52 niter: 3500 25m 15s (- 4120m 37s) completed: 0%) loss_emb: 0.0033 loss: 1.5954 acc: 0.6137 lr: 0.0002 ep/it: 9- 102 niter: 3550 25m 36s (- 4119m 32s) completed: 0%) loss_emb: 0.0032 loss: 1.5821 acc: 0.6166 lr: 0.0002 ep/it: 9- 152 niter: 3600 25m 57s (- 4117m 45s) completed: 0%) loss_emb: 0.0032 loss: 1.5947 acc: 0.6138 lr: 0.0002 ep/it: 9- 202 niter: 3650 26m 18s (- 4115m 47s) completed: 0%) loss_emb: 0.0033 loss: 1.6131 acc: 0.6100 lr: 0.0002 ep/it: 9- 252 niter: 3700 26m 40s (- 4114m 15s) completed: 0%) loss_emb: 0.0032 loss: 1.5970 acc: 0.6132 lr: 0.0002 ep/it: 9- 302 niter: 3750 27m 1s (- 4112m 59s) completed: 0%) loss_emb: 0.0032 loss: 1.5505 acc: 0.6243 lr: 0.0002 ep/it: 9- 352 niter: 3800 27m 22s (- 4111m 10s) completed: 0%) loss_emb: 0.0032 loss: 1.5407 acc: 0.6267 lr: 0.0002 Validation time: --> Eva. Ep 10 :, FID. 9.9593, Diversity Real. 9.3289, Diversity. 7.0938, R_precision_real. [0.51130319 0.7087766 0.78989362], R_precision. [0.18816489 0.31449468 0.41023936], matching_score_real. 2.93660306930542, matching_score_pred. 6.017515182495117 --> --> FID Improved from 28.80096 to 9.95930 !!! --> --> matching_score Improved from 7.94683 to 6.01752 !!! --> --> Diversity Improved from 4.04696 to 7.09381 !!! --> --> Top1 Improved from 0.0346 to 0.1882 !!! --> --> Top2 Improved from 0.0632 to 0.3145 !!! --> --> Top3 Improved from 0.0984 to 0.4102 !!! ep/it:10- 19 niter: 3850 27m 58s (- 4147m 33s) completed: 0%) loss_emb: 0.0032 loss: 1.5532 acc: 0.6229 lr: 0.0002 ep/it:10- 69 niter: 3900 28m 20s (- 4146m 1s) completed: 0%) loss_emb: 0.0032 loss: 1.5422 acc: 0.6252 lr: 0.0002 ep/it:10- 119 niter: 3950 28m 41s (- 4144m 46s) completed: 0%) loss_emb: 0.0031 loss: 1.4987 acc: 0.6363 lr: 0.0002 ep/it:10- 169 niter: 4000 29m 2s (- 4143m 10s) completed: 0%) loss_emb: 0.0031 loss: 1.5337 acc: 0.6273 lr: 0.0002 ep/it:10- 219 niter: 4050 29m 24s (- 4141m 57s) completed: 0%) loss_emb: 0.0031 loss: 1.5363 acc: 0.6260 lr: 0.0002 ep/it:10- 269 niter: 4100 29m 45s (- 4140m 1s) completed: 0%) loss_emb: 0.0031 loss: 1.5168 acc: 0.6307 lr: 0.0002 ep/it:10- 319 niter: 4150 30m 6s (- 4138m 19s) completed: 0%) loss_emb: 0.0031 loss: 1.5189 acc: 0.6316 lr: 0.0002 ep/it:10- 369 niter: 4200 30m 27s (- 4136m 38s) completed: 0%) loss_emb: 0.0031 loss: 1.4975 acc: 0.6353 lr: 0.0002 Validation time: ep/it:11- 36 niter: 4250 30m 49s (- 4135m 58s) completed: 0%) loss_emb: 0.0031 loss: 1.5302 acc: 0.6287 lr: 0.0002 ep/it:11- 86 niter: 4300 31m 10s (- 4134m 34s) completed: 0%) loss_emb: 0.0031 loss: 1.5277 acc: 0.6274 lr: 0.0002 ep/it:11- 136 niter: 4350 31m 31s (- 4132m 27s) completed: 0%) loss_emb: 0.0031 loss: 1.5061 acc: 0.6329 lr: 0.0002 ep/it:11- 186 niter: 4400 31m 52s (- 4130m 56s) completed: 0%) loss_emb: 0.0030 loss: 1.4683 acc: 0.6406 lr: 0.0002 ep/it:11- 236 niter: 4450 32m 14s (- 4129m 16s) completed: 0%) loss_emb: 0.0030 loss: 1.4817 acc: 0.6386 lr: 0.0002 ep/it:11- 286 niter: 4500 32m 35s (- 4128m 19s) completed: 0%) loss_emb: 0.0031 loss: 1.4893 acc: 0.6366 lr: 0.0002 ep/it:11- 336 niter: 4550 32m 56s (- 4127m 6s) completed: 0%) loss_emb: 0.0030 loss: 1.4709 acc: 0.6414 lr: 0.0002 Validation time: ep/it:12- 3 niter: 4600 33m 18s (- 4127m 7s) completed: 0%) loss_emb: 0.0031 loss: 1.4884 acc: 0.6375 lr: 0.0002 ep/it:12- 53 niter: 4650 33m 40s (- 4126m 26s) completed: 0%) loss_emb: 0.0030 loss: 1.4638 acc: 0.6424 lr: 0.0002 ep/it:12- 103 niter: 4700 34m 2s (- 4126m 37s) completed: 0%) loss_emb: 0.0030 loss: 1.4731 acc: 0.6401 lr: 0.0002 ep/it:12- 153 niter: 4750 34m 23s (- 4125m 54s) completed: 0%) loss_emb: 0.0031 loss: 1.4878 acc: 0.6364 lr: 0.0002 ep/it:12- 203 niter: 4800 34m 45s (- 4124m 42s) completed: 0%) loss_emb: 0.0030 loss: 1.4513 acc: 0.6451 lr: 0.0002 ep/it:12- 253 niter: 4850 35m 6s (- 4123m 37s) completed: 0%) loss_emb: 0.0029 loss: 1.4108 acc: 0.6533 lr: 0.0002 ep/it:12- 303 niter: 4900 35m 28s (- 4123m 14s) completed: 0%) loss_emb: 0.0030 loss: 1.4748 acc: 0.6403 lr: 0.0002 ep/it:12- 353 niter: 4950 35m 49s (- 4122m 1s) completed: 0%) loss_emb: 0.0030 loss: 1.4345 acc: 0.6493 lr: 0.0002 Validation time: ep/it:13- 20 niter: 5000 36m 11s (- 4121m 45s) completed: 0%) loss_emb: 0.0029 loss: 1.4164 acc: 0.6524 lr: 0.0002 ep/it:13- 70 niter: 5050 36m 32s (- 4121m 19s) completed: 0%) loss_emb: 0.0030 loss: 1.4588 acc: 0.6438 lr: 0.0002 ep/it:13- 120 niter: 5100 36m 54s (- 4120m 17s) completed: 0%) loss_emb: 0.0030 loss: 1.4357 acc: 0.6484 lr: 0.0002 ep/it:13- 170 niter: 5150 37m 15s (- 4118m 34s) completed: 0%) loss_emb: 0.0030 loss: 1.4376 acc: 0.6476 lr: 0.0002 ep/it:13- 220 niter: 5200 37m 36s (- 4116m 51s) completed: 0%) loss_emb: 0.0029 loss: 1.4007 acc: 0.6557 lr: 0.0002 ep/it:13- 270 niter: 5250 37m 57s (- 4116m 19s) completed: 0%) loss_emb: 0.0029 loss: 1.4203 acc: 0.6520 lr: 0.0002 ep/it:13- 320 niter: 5300 38m 19s (- 4115m 38s) completed: 0%) loss_emb: 0.0029 loss: 1.4164 acc: 0.6534 lr: 0.0002 ep/it:13- 370 niter: 5350 38m 40s (- 4114m 13s) completed: 0%) loss_emb: 0.0029 loss: 1.4126 acc: 0.6532 lr: 0.0002 Validation time: ep/it:14- 37 niter: 5400 39m 2s (- 4114m 35s) completed: 0%) loss_emb: 0.0029 loss: 1.3936 acc: 0.6580 lr: 0.0002 ep/it:14- 87 niter: 5450 39m 23s (- 4113m 45s) completed: 0%) loss_emb: 0.0029 loss: 1.4062 acc: 0.6537 lr: 0.0002 ep/it:14- 137 niter: 5500 39m 45s (- 4113m 18s) completed: 0%) loss_emb: 0.0029 loss: 1.4176 acc: 0.6514 lr: 0.0002 ep/it:14- 187 niter: 5550 40m 7s (- 4112m 38s) completed: 0%) loss_emb: 0.0029 loss: 1.4007 acc: 0.6562 lr: 0.0002 ep/it:14- 237 niter: 5600 40m 28s (- 4111m 27s) completed: 0%) loss_emb: 0.0029 loss: 1.4124 acc: 0.6535 lr: 0.0002 ep/it:14- 287 niter: 5650 40m 49s (- 4110m 35s) completed: 0%) loss_emb: 0.0029 loss: 1.3848 acc: 0.6597 lr: 0.0002 ep/it:14- 337 niter: 5700 41m 10s (- 4109m 32s) completed: 0%) loss_emb: 0.0030 loss: 1.4412 acc: 0.6463 lr: 0.0002 Validation time: ep/it:15- 4 niter: 5750 41m 33s (- 4110m 3s) completed: 1%) loss_emb: 0.0029 loss: 1.3986 acc: 0.6556 lr: 0.0002 ep/it:15- 54 niter: 5800 41m 54s (- 4109m 30s) completed: 1%) loss_emb: 0.0029 loss: 1.3801 acc: 0.6592 lr: 0.0002 ep/it:15- 104 niter: 5850 42m 16s (- 4109m 2s) completed: 1%) loss_emb: 0.0029 loss: 1.3943 acc: 0.6569 lr: 0.0002 ep/it:15- 154 niter: 5900 42m 37s (- 4107m 43s) completed: 1%) loss_emb: 0.0028 loss: 1.3685 acc: 0.6626 lr: 0.0002 ep/it:15- 204 niter: 5950 42m 58s (- 4106m 9s) completed: 1%) loss_emb: 0.0028 loss: 1.3755 acc: 0.6616 lr: 0.0002 ep/it:15- 254 niter: 6000 43m 19s (- 4105m 17s) completed: 1%) loss_emb: 0.0029 loss: 1.4036 acc: 0.6551 lr: 0.0002 ep/it:15- 304 niter: 6050 43m 41s (- 4105m 27s) completed: 1%) loss_emb: 0.0029 loss: 1.4054 acc: 0.6545 lr: 0.0002 ep/it:15- 354 niter: 6100 44m 2s (- 4104m 13s) completed: 1%) loss_emb: 0.0029 loss: 1.3772 acc: 0.6599 lr: 0.0002 Validation time: ep/it:16- 21 niter: 6150 44m 24s (- 4104m 31s) completed: 1%) loss_emb: 0.0028 loss: 1.3676 acc: 0.6611 lr: 0.0002 ep/it:16- 71 niter: 6200 44m 46s (- 4103m 26s) completed: 1%) loss_emb: 0.0029 loss: 1.3849 acc: 0.6573 lr: 0.0002 ep/it:16- 121 niter: 6250 45m 6s (- 4101m 51s) completed: 1%) loss_emb: 0.0028 loss: 1.3430 acc: 0.6684 lr: 0.0002 ep/it:16- 171 niter: 6300 45m 27s (- 4100m 21s) completed: 1%) loss_emb: 0.0029 loss: 1.3778 acc: 0.6602 lr: 0.0002 ep/it:16- 221 niter: 6350 45m 48s (- 4098m 37s) completed: 1%) loss_emb: 0.0028 loss: 1.3283 acc: 0.6713 lr: 0.0002 ep/it:16- 271 niter: 6400 46m 9s (- 4097m 25s) completed: 1%) loss_emb: 0.0028 loss: 1.3601 acc: 0.6636 lr: 0.0002 ep/it:16- 321 niter: 6450 46m 30s (- 4095m 55s) completed: 1%) loss_emb: 0.0028 loss: 1.3385 acc: 0.6688 lr: 0.0002 ep/it:16- 371 niter: 6500 46m 51s (- 4094m 4s) completed: 1%) loss_emb: 0.0029 loss: 1.3832 acc: 0.6572 lr: 0.0002 Validation time: ep/it:17- 38 niter: 6550 47m 12s (- 4094m 6s) completed: 1%) loss_emb: 0.0028 loss: 1.3369 acc: 0.6690 lr: 0.0002 ep/it:17- 88 niter: 6600 47m 34s (- 4093m 18s) completed: 1%) loss_emb: 0.0028 loss: 1.3270 acc: 0.6709 lr: 0.0002 ep/it:17- 138 niter: 6650 47m 55s (- 4092m 53s) completed: 1%) loss_emb: 0.0028 loss: 1.3668 acc: 0.6620 lr: 0.0002 ep/it:17- 188 niter: 6700 48m 16s (- 4091m 4s) completed: 1%) loss_emb: 0.0028 loss: 1.3620 acc: 0.6638 lr: 0.0002 ep/it:17- 238 niter: 6750 48m 37s (- 4089m 47s) completed: 1%) loss_emb: 0.0027 loss: 1.3124 acc: 0.6743 lr: 0.0002 ep/it:17- 288 niter: 6800 48m 58s (- 4088m 49s) completed: 1%) loss_emb: 0.0028 loss: 1.3528 acc: 0.6649 lr: 0.0002 ep/it:17- 338 niter: 6850 49m 19s (- 4087m 30s) completed: 1%) loss_emb: 0.0028 loss: 1.3362 acc: 0.6698 lr: 0.0002 Validation time: ep/it:18- 5 niter: 6900 49m 41s (- 4087m 8s) completed: 1%) loss_emb: 0.0028 loss: 1.3352 acc: 0.6695 lr: 0.0002 ep/it:18- 55 niter: 6950 50m 2s (- 4085m 52s) completed: 1%) loss_emb: 0.0028 loss: 1.3370 acc: 0.6679 lr: 0.0002 ep/it:18- 105 niter: 7000 50m 23s (- 4085m 26s) completed: 1%) loss_emb: 0.0028 loss: 1.3412 acc: 0.6677 lr: 0.0002 ep/it:18- 155 niter: 7050 50m 45s (- 4084m 50s) completed: 1%) loss_emb: 0.0027 loss: 1.3116 acc: 0.6743 lr: 0.0002 ep/it:18- 205 niter: 7100 51m 5s (- 4083m 34s) completed: 1%) loss_emb: 0.0027 loss: 1.3156 acc: 0.6735 lr: 0.0002 ep/it:18- 255 niter: 7150 51m 27s (- 4082m 33s) completed: 1%) loss_emb: 0.0027 loss: 1.3161 acc: 0.6731 lr: 0.0002 ep/it:18- 305 niter: 7200 51m 48s (- 4081m 47s) completed: 1%) loss_emb: 0.0028 loss: 1.3255 acc: 0.6714 lr: 0.0002 ep/it:18- 355 niter: 7250 52m 9s (- 4081m 0s) completed: 1%) loss_emb: 0.0028 loss: 1.3190 acc: 0.6709 lr: 0.0002 Validation time: ep/it:19- 22 niter: 7300 52m 31s (- 4080m 32s) completed: 1%) loss_emb: 0.0027 loss: 1.3033 acc: 0.6759 lr: 0.0002 ep/it:19- 72 niter: 7350 52m 51s (- 4078m 56s) completed: 1%) loss_emb: 0.0027 loss: 1.3158 acc: 0.6725 lr: 0.0002 ep/it:19- 122 niter: 7400 53m 12s (- 4077m 53s) completed: 1%) loss_emb: 0.0027 loss: 1.3180 acc: 0.6724 lr: 0.0002 ep/it:19- 172 niter: 7450 53m 34s (- 4077m 18s) completed: 1%) loss_emb: 0.0027 loss: 1.3153 acc: 0.6731 lr: 0.0002 ep/it:19- 222 niter: 7500 53m 55s (- 4076m 39s) completed: 1%) loss_emb: 0.0028 loss: 1.3400 acc: 0.6674 lr: 0.0002 ep/it:19- 272 niter: 7550 54m 16s (- 4075m 56s) completed: 1%) loss_emb: 0.0027 loss: 1.3018 acc: 0.6764 lr: 0.0002 ep/it:19- 322 niter: 7600 54m 38s (- 4075m 19s) completed: 1%) loss_emb: 0.0027 loss: 1.3078 acc: 0.6757 lr: 0.0002 ep/it:19- 372 niter: 7650 54m 59s (- 4074m 59s) completed: 1%) loss_emb: 0.0027 loss: 1.3109 acc: 0.6732 lr: 0.0002 Validation time: --> Eva. Ep 20 :, FID. 9.5584, Diversity Real. 9.5995, Diversity. 6.9172, R_precision_real. [0.50598404 0.70146277 0.79720745], R_precision. [0.21675532 0.35172872 0.4581117 ], matching_score_real. 2.895113945007324, matching_score_pred. 5.52779483795166 --> --> FID Improved from 9.95930 to 9.55844 !!! --> --> matching_score Improved from 6.01752 to 5.52779 !!! --> --> Top1 Improved from 0.1882 to 0.2168 !!! --> --> Top2 Improved from 0.3145 to 0.3517 !!! --> --> Top3 Improved from 0.4102 to 0.4581 !!! ep/it:20- 39 niter: 7700 55m 37s (- 4094m 41s) completed: 1%) loss_emb: 0.0028 loss: 1.3273 acc: 0.6704 lr: 0.0002 ep/it:20- 89 niter: 7750 55m 58s (- 4093m 48s) completed: 1%) loss_emb: 0.0027 loss: 1.2992 acc: 0.6771 lr: 0.0002 ep/it:20- 139 niter: 7800 56m 19s (- 4092m 49s) completed: 1%) loss_emb: 0.0027 loss: 1.3035 acc: 0.6756 lr: 0.0002 ep/it:20- 189 niter: 7850 56m 41s (- 4091m 44s) completed: 1%) loss_emb: 0.0027 loss: 1.2903 acc: 0.6788 lr: 0.0002 ep/it:20- 239 niter: 7900 57m 2s (- 4091m 13s) completed: 1%) loss_emb: 0.0027 loss: 1.2977 acc: 0.6775 lr: 0.0002 ep/it:20- 289 niter: 7950 57m 24s (- 4091m 1s) completed: 1%) loss_emb: 0.0027 loss: 1.2926 acc: 0.6793 lr: 0.0002 ep/it:20- 339 niter: 8000 57m 45s (- 4090m 15s) completed: 1%) loss_emb: 0.0026 loss: 1.2537 acc: 0.6874 lr: 0.0002 Validation time: ep/it:21- 6 niter: 8050 58m 8s (- 4091m 16s) completed: 1%) loss_emb: 0.0027 loss: 1.3098 acc: 0.6742 lr: 0.0002 ep/it:21- 56 niter: 8100 58m 29s (- 4090m 16s) completed: 1%) loss_emb: 0.0027 loss: 1.2816 acc: 0.6797 lr: 0.0002 ep/it:21- 106 niter: 8150 58m 51s (- 4089m 32s) completed: 1%) loss_emb: 0.0027 loss: 1.2796 acc: 0.6808 lr: 0.0002 ep/it:21- 156 niter: 8200 59m 12s (- 4089m 16s) completed: 1%) loss_emb: 0.0027 loss: 1.2975 acc: 0.6764 lr: 0.0002 ep/it:21- 206 niter: 8250 59m 34s (- 4089m 0s) completed: 1%) loss_emb: 0.0027 loss: 1.3004 acc: 0.6757 lr: 0.0002 ep/it:21- 256 niter: 8300 59m 55s (- 4088m 13s) completed: 1%) loss_emb: 0.0027 loss: 1.2722 acc: 0.6831 lr: 0.0002 ep/it:21- 306 niter: 8350 60m 16s (- 4087m 13s) completed: 1%) loss_emb: 0.0026 loss: 1.2478 acc: 0.6884 lr: 0.0002 ep/it:21- 356 niter: 8400 60m 38s (- 4086m 32s) completed: 1%) loss_emb: 0.0027 loss: 1.2933 acc: 0.6777 lr: 0.0002 Validation time: ep/it:22- 23 niter: 8450 61m 0s (- 4086m 47s) completed: 1%) loss_emb: 0.0026 loss: 1.2615 acc: 0.6844 lr: 0.0002 ep/it:22- 73 niter: 8500 61m 22s (- 4086m 35s) completed: 1%) loss_emb: 0.0026 loss: 1.2445 acc: 0.6883 lr: 0.0002 ep/it:22- 123 niter: 8550 61m 43s (- 4085m 59s) completed: 1%) loss_emb: 0.0026 loss: 1.2645 acc: 0.6843 lr: 0.0002 ep/it:22- 173 niter: 8600 62m 4s (- 4085m 6s) completed: 1%) loss_emb: 0.0026 loss: 1.2487 acc: 0.6882 lr: 0.0002 ep/it:22- 223 niter: 8650 62m 25s (- 4084m 2s) completed: 1%) loss_emb: 0.0026 loss: 1.2470 acc: 0.6885 lr: 0.0002 ep/it:22- 273 niter: 8700 62m 47s (- 4083m 36s) completed: 1%) loss_emb: 0.0027 loss: 1.2634 acc: 0.6838 lr: 0.0002 ep/it:22- 323 niter: 8750 63m 8s (- 4082m 44s) completed: 1%) loss_emb: 0.0027 loss: 1.2789 acc: 0.6811 lr: 0.0002 ep/it:22- 373 niter: 8800 63m 29s (- 4081m 46s) completed: 1%) loss_emb: 0.0027 loss: 1.2734 acc: 0.6822 lr: 0.0002 Validation time: ep/it:23- 40 niter: 8850 63m 52s (- 4082m 15s) completed: 1%) loss_emb: 0.0027 loss: 1.2723 acc: 0.6811 lr: 0.0002 ep/it:23- 90 niter: 8900 64m 13s (- 4081m 24s) completed: 1%) loss_emb: 0.0026 loss: 1.2533 acc: 0.6868 lr: 0.0002 ep/it:23- 140 niter: 8950 64m 34s (- 4080m 48s) completed: 1%) loss_emb: 0.0026 loss: 1.2626 acc: 0.6833 lr: 0.0002 ep/it:23- 190 niter: 9000 64m 55s (- 4079m 54s) completed: 1%) loss_emb: 0.0026 loss: 1.2528 acc: 0.6865 lr: 0.0002 ep/it:23- 240 niter: 9050 65m 17s (- 4079m 15s) completed: 1%) loss_emb: 0.0026 loss: 1.2671 acc: 0.6836 lr: 0.0002 ep/it:23- 290 niter: 9100 65m 38s (- 4078m 55s) completed: 1%) loss_emb: 0.0026 loss: 1.2501 acc: 0.6866 lr: 0.0002 ep/it:23- 340 niter: 9150 66m 0s (- 4077m 59s) completed: 1%) loss_emb: 0.0026 loss: 1.2260 acc: 0.6920 lr: 0.0002 Validation time: ep/it:24- 7 niter: 9200 66m 22s (- 4078m 27s) completed: 1%) loss_emb: 0.0026 loss: 1.2588 acc: 0.6847 lr: 0.0002 ep/it:24- 57 niter: 9250 66m 43s (- 4077m 34s) completed: 1%) loss_emb: 0.0026 loss: 1.2358 acc: 0.6893 lr: 0.0002 ep/it:24- 107 niter: 9300 67m 5s (- 4077m 22s) completed: 1%) loss_emb: 0.0026 loss: 1.2433 acc: 0.6886 lr: 0.0002 ep/it:24- 157 niter: 9350 67m 27s (- 4076m 56s) completed: 1%) loss_emb: 0.0027 loss: 1.2701 acc: 0.6821 lr: 0.0002 ep/it:24- 207 niter: 9400 67m 48s (- 4076m 26s) completed: 1%) loss_emb: 0.0026 loss: 1.2559 acc: 0.6859 lr: 0.0002 ep/it:24- 257 niter: 9450 68m 10s (- 4076m 7s) completed: 1%) loss_emb: 0.0026 loss: 1.2273 acc: 0.6912 lr: 0.0002 ep/it:24- 307 niter: 9500 68m 31s (- 4075m 43s) completed: 1%) loss_emb: 0.0026 loss: 1.2297 acc: 0.6919 lr: 0.0002 ep/it:24- 357 niter: 9550 68m 53s (- 4075m 15s) completed: 1%) loss_emb: 0.0026 loss: 1.2366 acc: 0.6912 lr: 0.0002 Validation time: ep/it:25- 24 niter: 9600 69m 15s (- 4075m 10s) completed: 1%) loss_emb: 0.0026 loss: 1.2397 acc: 0.6888 lr: 0.0002 ep/it:25- 74 niter: 9650 69m 37s (- 4074m 58s) completed: 1%) loss_emb: 0.0026 loss: 1.2273 acc: 0.6915 lr: 0.0002 ep/it:25- 124 niter: 9700 69m 59s (- 4074m 58s) completed: 1%) loss_emb: 0.0026 loss: 1.2263 acc: 0.6909 lr: 0.0002 ep/it:25- 174 niter: 9750 70m 19s (- 4073m 53s) completed: 1%) loss_emb: 0.0026 loss: 1.2589 acc: 0.6852 lr: 0.0002 ep/it:25- 224 niter: 9800 70m 41s (- 4073m 10s) completed: 1%) loss_emb: 0.0026 loss: 1.2179 acc: 0.6943 lr: 0.0002 ep/it:25- 274 niter: 9850 71m 2s (- 4072m 37s) completed: 1%) loss_emb: 0.0026 loss: 1.2229 acc: 0.6930 lr: 0.0002 ep/it:25- 324 niter: 9900 71m 23s (- 4071m 45s) completed: 1%) loss_emb: 0.0026 loss: 1.2360 acc: 0.6895 lr: 0.0002 ep/it:25- 374 niter: 9950 71m 45s (- 4071m 12s) completed: 1%) loss_emb: 0.0026 loss: 1.2220 acc: 0.6931 lr: 0.0002 Validation time: ep/it:26- 41 niter: 10000 72m 7s (- 4071m 31s) completed: 1%) loss_emb: 0.0026 loss: 1.2136 acc: 0.6944 lr: 0.0002 ep/it:26- 91 niter: 10050 72m 29s (- 4071m 27s) completed: 1%) loss_emb: 0.0027 loss: 1.2774 acc: 0.6802 lr: 0.0002 ep/it:26- 141 niter: 10100 72m 50s (- 4070m 44s) completed: 1%) loss_emb: 0.0026 loss: 1.2483 acc: 0.6864 lr: 0.0002 ep/it:26- 191 niter: 10150 73m 12s (- 4070m 8s) completed: 1%) loss_emb: 0.0025 loss: 1.2011 acc: 0.6980 lr: 0.0002 ep/it:26- 241 niter: 10200 73m 33s (- 4069m 29s) completed: 1%) loss_emb: 0.0026 loss: 1.2270 acc: 0.6923 lr: 0.0002 ep/it:26- 291 niter: 10250 73m 55s (- 4069m 12s) completed: 1%) loss_emb: 0.0026 loss: 1.2105 acc: 0.6950 lr: 0.0002 ep/it:26- 341 niter: 10300 74m 16s (- 4068m 25s) completed: 1%) loss_emb: 0.0026 loss: 1.2131 acc: 0.6953 lr: 0.0002 Validation time: ep/it:27- 8 niter: 10350 74m 38s (- 4068m 15s) completed: 1%) loss_emb: 0.0026 loss: 1.2290 acc: 0.6914 lr: 0.0002 ep/it:27- 58 niter: 10400 74m 59s (- 4067m 14s) completed: 1%) loss_emb: 0.0026 loss: 1.2132 acc: 0.6939 lr: 0.0002 ep/it:27- 108 niter: 10450 75m 20s (- 4066m 32s) completed: 1%) loss_emb: 0.0025 loss: 1.1912 acc: 0.7000 lr: 0.0002 ep/it:27- 158 niter: 10500 75m 41s (- 4065m 57s) completed: 1%) loss_emb: 0.0026 loss: 1.2205 acc: 0.6926 lr: 0.0002 ep/it:27- 208 niter: 10550 76m 3s (- 4065m 45s) completed: 1%) loss_emb: 0.0026 loss: 1.2261 acc: 0.6916 lr: 0.0002 ep/it:27- 258 niter: 10600 76m 25s (- 4065m 39s) completed: 1%) loss_emb: 0.0026 loss: 1.2333 acc: 0.6900 lr: 0.0002 ep/it:27- 308 niter: 10650 76m 46s (- 4064m 53s) completed: 1%) loss_emb: 0.0026 loss: 1.2289 acc: 0.6904 lr: 0.0002 ep/it:27- 358 niter: 10700 77m 7s (- 4064m 16s) completed: 1%) loss_emb: 0.0026 loss: 1.2136 acc: 0.6943 lr: 0.0002 Validation time: ep/it:28- 25 niter: 10750 77m 30s (- 4064m 38s) completed: 1%) loss_emb: 0.0025 loss: 1.2131 acc: 0.6936 lr: 0.0002 ep/it:28- 75 niter: 10800 77m 52s (- 4064m 14s) completed: 1%) loss_emb: 0.0025 loss: 1.2115 acc: 0.6948 lr: 0.0002 ep/it:28- 125 niter: 10850 78m 13s (- 4063m 47s) completed: 1%) loss_emb: 0.0025 loss: 1.1938 acc: 0.6981 lr: 0.0002 ep/it:28- 175 niter: 10900 78m 34s (- 4063m 11s) completed: 1%) loss_emb: 0.0026 loss: 1.2484 acc: 0.6866 lr: 0.0002 ep/it:28- 225 niter: 10950 78m 57s (- 4063m 26s) completed: 1%) loss_emb: 0.0025 loss: 1.2050 acc: 0.6968 lr: 0.0002 ep/it:28- 275 niter: 11000 79m 18s (- 4062m 58s) completed: 1%) loss_emb: 0.0025 loss: 1.1854 acc: 0.7004 lr: 0.0002 ep/it:28- 325 niter: 11050 79m 40s (- 4062m 28s) completed: 1%) loss_emb: 0.0025 loss: 1.1789 acc: 0.7031 lr: 0.0002 ep/it:28- 375 niter: 11100 80m 1s (- 4061m 51s) completed: 1%) loss_emb: 0.0026 loss: 1.2163 acc: 0.6923 lr: 0.0002 Validation time: ep/it:29- 42 niter: 11150 80m 23s (- 4061m 51s) completed: 1%) loss_emb: 0.0025 loss: 1.2000 acc: 0.6975 lr: 0.0002 ep/it:29- 92 niter: 11200 80m 45s (- 4061m 25s) completed: 1%) loss_emb: 0.0025 loss: 1.1861 acc: 0.7008 lr: 0.0002 ep/it:29- 142 niter: 11250 81m 7s (- 4061m 14s) completed: 1%) loss_emb: 0.0026 loss: 1.2209 acc: 0.6926 lr: 0.0002 ep/it:29- 192 niter: 11300 81m 28s (- 4060m 38s) completed: 1%) loss_emb: 0.0025 loss: 1.1991 acc: 0.6983 lr: 0.0002 ep/it:29- 242 niter: 11350 81m 49s (- 4059m 49s) completed: 1%) loss_emb: 0.0025 loss: 1.2017 acc: 0.6967 lr: 0.0002 ep/it:29- 292 niter: 11400 82m 10s (- 4058m 55s) completed: 1%) loss_emb: 0.0025 loss: 1.1932 acc: 0.6987 lr: 0.0002 ep/it:29- 342 niter: 11450 82m 31s (- 4058m 32s) completed: 1%) loss_emb: 0.0025 loss: 1.1818 acc: 0.7009 lr: 0.0002 Validation time: --> Eva. Ep 30 :, FID. 9.9971, Diversity Real. 9.3632, Diversity. 7.3107, R_precision_real. [0.5099734 0.6974734 0.79787234], R_precision. [0.23869681 0.39295213 0.49867021], matching_score_real. 2.9328765869140625, matching_score_pred. 5.250527381896973 --> --> matching_score Improved from 5.52779 to 5.25053 !!! --> --> Diversity Improved from 7.09381 to 7.31065 !!! --> --> Top1 Improved from 0.2168 to 0.2387 !!! --> --> Top2 Improved from 0.3517 to 0.3930 !!! --> --> Top3 Improved from 0.4581 to 0.4987 !!! ep/it:30- 9 niter: 11500 83m 9s (- 4071m 4s) completed: 2%) loss_emb: 0.0026 loss: 1.2211 acc: 0.6920 lr: 0.0002 ep/it:30- 59 niter: 11550 83m 30s (- 4070m 32s) completed: 2%) loss_emb: 0.0025 loss: 1.1960 acc: 0.6966 lr: 0.0002 ep/it:30- 109 niter: 11600 83m 52s (- 4070m 10s) completed: 2%) loss_emb: 0.0025 loss: 1.1899 acc: 0.7001 lr: 0.0002 ep/it:30- 159 niter: 11650 84m 13s (- 4069m 34s) completed: 2%) loss_emb: 0.0025 loss: 1.1996 acc: 0.6973 lr: 0.0002 ep/it:30- 209 niter: 11700 84m 35s (- 4068m 40s) completed: 2%) loss_emb: 0.0025 loss: 1.2085 acc: 0.6953 lr: 0.0002 ep/it:30- 259 niter: 11750 84m 56s (- 4067m 54s) completed: 2%) loss_emb: 0.0025 loss: 1.1823 acc: 0.7010 lr: 0.0002 ep/it:30- 309 niter: 11800 85m 17s (- 4066m 59s) completed: 2%) loss_emb: 0.0025 loss: 1.1908 acc: 0.6989 lr: 0.0002 ep/it:30- 359 niter: 11850 85m 38s (- 4066m 12s) completed: 2%) loss_emb: 0.0025 loss: 1.1973 acc: 0.6974 lr: 0.0002 Validation time: ep/it:31- 26 niter: 11900 86m 0s (- 4065m 53s) completed: 2%) loss_emb: 0.0025 loss: 1.1924 acc: 0.6986 lr: 0.0002 ep/it:31- 76 niter: 11950 86m 21s (- 4065m 16s) completed: 2%) loss_emb: 0.0025 loss: 1.1829 acc: 0.7011 lr: 0.0002 ep/it:31- 126 niter: 12000 86m 42s (- 4064m 34s) completed: 2%) loss_emb: 0.0025 loss: 1.2052 acc: 0.6955 lr: 0.0002 ep/it:31- 176 niter: 12050 87m 4s (- 4064m 1s) completed: 2%) loss_emb: 0.0025 loss: 1.1946 acc: 0.6974 lr: 0.0002 ep/it:31- 226 niter: 12100 87m 25s (- 4063m 21s) completed: 2%) loss_emb: 0.0025 loss: 1.1629 acc: 0.7041 lr: 0.0002 ep/it:31- 276 niter: 12150 87m 46s (- 4062m 35s) completed: 2%) loss_emb: 0.0025 loss: 1.2028 acc: 0.6957 lr: 0.0002 ep/it:31- 326 niter: 12200 88m 8s (- 4062m 31s) completed: 2%) loss_emb: 0.0025 loss: 1.1917 acc: 0.6984 lr: 0.0002 ep/it:31- 376 niter: 12250 88m 29s (- 4061m 41s) completed: 2%) loss_emb: 0.0025 loss: 1.1675 acc: 0.7047 lr: 0.0002 Validation time: ep/it:32- 43 niter: 12300 88m 51s (- 4061m 47s) completed: 2%) loss_emb: 0.0025 loss: 1.1652 acc: 0.7052 lr: 0.0002 ep/it:32- 93 niter: 12350 89m 13s (- 4061m 17s) completed: 2%) loss_emb: 0.0025 loss: 1.1590 acc: 0.7050 lr: 0.0002 ep/it:32- 143 niter: 12400 89m 34s (- 4060m 34s) completed: 2%) loss_emb: 0.0025 loss: 1.1973 acc: 0.6974 lr: 0.0002 ep/it:32- 193 niter: 12450 89m 56s (- 4060m 4s) completed: 2%) loss_emb: 0.0025 loss: 1.1858 acc: 0.6995 lr: 0.0002 ep/it:32- 243 niter: 12500 90m 17s (- 4059m 22s) completed: 2%) loss_emb: 0.0025 loss: 1.1892 acc: 0.6993 lr: 0.0002 ep/it:32- 293 niter: 12550 90m 39s (- 4059m 2s) completed: 2%) loss_emb: 0.0025 loss: 1.1809 acc: 0.7005 lr: 0.0002 ep/it:32- 343 niter: 12600 91m 0s (- 4058m 25s) completed: 2%) loss_emb: 0.0025 loss: 1.1761 acc: 0.7027 lr: 0.0002 Validation time: ep/it:33- 10 niter: 12650 91m 22s (- 4058m 35s) completed: 2%) loss_emb: 0.0025 loss: 1.1698 acc: 0.7031 lr: 0.0002 ep/it:33- 60 niter: 12700 91m 44s (- 4058m 8s) completed: 2%) loss_emb: 0.0025 loss: 1.1919 acc: 0.6983 lr: 0.0002 ep/it:33- 110 niter: 12750 92m 5s (- 4057m 28s) completed: 2%) loss_emb: 0.0025 loss: 1.1764 acc: 0.7023 lr: 0.0002 ep/it:33- 160 niter: 12800 92m 27s (- 4056m 58s) completed: 2%) loss_emb: 0.0024 loss: 1.1568 acc: 0.7062 lr: 0.0002 ep/it:33- 210 niter: 12850 92m 47s (- 4056m 0s) completed: 2%) loss_emb: 0.0025 loss: 1.1804 acc: 0.7006 lr: 0.0002 ep/it:33- 260 niter: 12900 93m 9s (- 4055m 29s) completed: 2%) loss_emb: 0.0024 loss: 1.1526 acc: 0.7069 lr: 0.0002 ep/it:33- 310 niter: 12950 93m 30s (- 4054m 49s) completed: 2%) loss_emb: 0.0025 loss: 1.1646 acc: 0.7045 lr: 0.0002 ep/it:33- 360 niter: 13000 93m 51s (- 4054m 13s) completed: 2%) loss_emb: 0.0025 loss: 1.1684 acc: 0.7030 lr: 0.0002 Validation time: |