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: 1
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: 11241_My_t2m_transformer_NEW_VAE_64
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/MMM/output/vq/2025-11-23-22-18-59_testV1_2_8192_128_256b/net_best_fid.pth
latent_dim: 384, ff_size: 1024, nlayers: 8, nheads: 6, dropout: 0.2
Loading CLIP...
Total parameters of all models: 42.00M

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Reading ./checkpoints/t2m/Comp_v6_KLD005/opt.txt
Loading dataset t2m ...

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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: 34500
Iters Per Epoch, Training: 0023, Validation: 023
--> 	 Eva. Ep 0 :, FID. 79.6857, Diversity Real. 9.5514, Diversity. 0.9949, R_precision_real. [0.50731383 0.68882979 0.7918883 ], R_precision. [0.03989362 0.0731383  0.10638298], matching_score_real. 2.90805983543396, matching_score_pred. 8.792071342468262
--> --> 	 FID Improved from 100.00000 to 79.68568 !!!
--> --> 	 matching_score Improved from 100.00000 to 8.79207 !!!
--> --> 	 Diversity Improved from 100.00000 to 0.99493 !!!
--> --> 	 Top1 Improved from 0.0000 to 0.0399 !!!
--> --> 	 Top2 Improved from 0.0000 to 0.0731 !!!
--> --> 	 Top3 Improved from 0.0000 to 0.1064 !!!
Validation time:
Validation loss:8.770, accuracy:0.000
Improved accuracy from 0.00 to 0.0001665233250368265!!!
Validation time:
Validation loss:8.190, accuracy:0.302
Improved accuracy from 0.00 to 0.30235987124235736!!!
ep/it: 2-   3 niter:    50  2m 3s (- 1413m 10s) completed:  0%) loss_emb: 0.8443  loss: 8.7410  acc: 0.0726  lr: 0.0000 
Validation time:
Validation loss:7.492, accuracy:0.378
Improved accuracy from 0.30 to 0.3776328783968221!!!
Validation time:
Validation loss:6.859, accuracy:0.402
Improved accuracy from 0.38 to 0.40182024240493774!!!
ep/it: 4-   7 niter:   100  3m 35s (- 1235m 3s) completed:  0%) loss_emb: 0.8151  loss: 7.4888  acc: 0.3680  lr: 0.0000 
Validation time:
Validation loss:6.315, accuracy:0.412
Improved accuracy from 0.40 to 0.41167652995690057!!!
--> 	 Eva. Ep 5 :, FID. 69.7389, Diversity Real. 9.5543, Diversity. 1.0311, R_precision_real. [0.51728723 0.6875     0.7912234 ], R_precision. [0.02593085 0.0525266  0.08510638], matching_score_real. 2.954711675643921, matching_score_pred. 8.535503387451172
--> --> 	 FID Improved from 79.68568 to 69.73885 !!!
--> --> 	 matching_score Improved from 8.79207 to 8.53550 !!!
--> --> 	 Diversity Improved from 0.99493 to 1.03110 !!!
Validation time:
Validation loss:5.885, accuracy:0.412
Improved accuracy from 0.41 to 0.4122805919336236!!!
ep/it: 6-  11 niter:   150  5m 40s (- 1301m 0s) completed:  0%) loss_emb: 0.7577  loss: 6.2609  acc: 0.4101  lr: 0.0000 
Validation time:
Validation loss:5.555, accuracy:0.413
Improved accuracy from 0.41 to 0.4130486405414084!!!
Validation time:
Validation loss:5.310, accuracy:0.413
Improved accuracy from 0.41 to 0.4133546728154887!!!
ep/it: 8-  15 niter:   200  7m 12s (- 1235m 53s) completed:  0%) loss_emb: 0.6876  loss: 5.5096  acc: 0.4122  lr: 0.0000 
Validation time:
Validation loss:5.106, accuracy:0.412
Validation time:
Validation loss:4.889, accuracy:0.412
--> 	 Eva. Ep 10 :, FID. 73.9997, Diversity Real. 9.4403, Diversity. 0.8268, R_precision_real. [0.50930851 0.7081117  0.79587766], R_precision. [0.0412234  0.07779255 0.10704787], matching_score_real. 2.936351776123047, matching_score_pred. 8.594159126281738
--> --> 	 Top1 Improved from 0.0399 to 0.0412 !!!
--> --> 	 Top2 Improved from 0.0731 to 0.0778 !!!
--> --> 	 Top3 Improved from 0.1064 to 0.1070 !!!
ep/it:10-  19 niter:   250  9m 15s (- 1269m 15s) completed:  0%) loss_emb: 0.6229  loss: 4.9954  acc: 0.4129  lr: 0.0000 
Validation time:
Validation loss:4.675, accuracy:0.411
Validation time:
Validation loss:4.444, accuracy:0.413
Validation time:
Validation loss:4.207, accuracy:0.412
ep/it:13-   0 niter:   300  10m 57s (- 1249m 17s) completed:  0%) loss_emb: 0.5718  loss: 4.4930  acc: 0.4123  lr: 0.0000 
Validation time:
Validation loss:3.981, accuracy:0.412
Validation time:
Validation loss:3.751, accuracy:0.413
--> 	 Eva. Ep 15 :, FID. 75.8688, Diversity Real. 9.3013, Diversity. 0.6929, R_precision_real. [0.48603723 0.69082447 0.79388298], R_precision. [0.04055851 0.07114362 0.10638298], matching_score_real. 2.969813823699951, matching_score_pred. 8.635946273803711
ep/it:15-   4 niter:   350  12m 58s (- 1266m 23s) completed:  1%) loss_emb: 0.5350  loss: 3.9766  acc: 0.4118  lr: 0.0000 
Validation time:
Validation loss:3.561, accuracy:0.413
Validation time:
Validation loss:3.391, accuracy:0.413
ep/it:17-   8 niter:   400  14m 28s (- 1234m 6s) completed:  1%) loss_emb: 0.5096  loss: 3.5196  acc: 0.4136  lr: 0.0000 
Validation time:
Validation loss:3.263, accuracy:0.411
Validation time:
Validation loss:3.154, accuracy:0.412
ep/it:19-  12 niter:   450  15m 59s (- 1210m 28s) completed:  1%) loss_emb: 0.4937  loss: 3.2266  acc: 0.4110  lr: 0.0000 
Validation time:
Validation loss:3.095, accuracy:0.412
--> 	 Eva. Ep 20 :, FID. 75.4623, Diversity Real. 9.7531, Diversity. 0.6600, R_precision_real. [0.51861702 0.69680851 0.79720745], R_precision. [0.0418883  0.08111702 0.12101064], matching_score_real. 2.936877727508545, matching_score_pred. 8.609390258789062
--> --> 	 Top1 Improved from 0.0412 to 0.0419 !!!
--> --> 	 Top2 Improved from 0.0778 to 0.0811 !!!
--> --> 	 Top3 Improved from 0.1070 to 0.1210 !!!
Validation time:
Validation loss:3.033, accuracy:0.413
ep/it:21-  16 niter:   500  18m 1s (- 1226m 10s) completed:  1%) loss_emb: 0.4835  loss: 3.0544  acc: 0.4115  lr: 0.0000 
Validation time:
Validation loss:2.996, accuracy:0.404
Validation time:
Validation loss:2.973, accuracy:0.412
ep/it:23-  20 niter:   550  19m 33s (- 1207m 20s) completed:  1%) loss_emb: 0.4788  loss: 2.9874  acc: 0.4064  lr: 0.0001 
Validation time:
Validation loss:2.970, accuracy:0.398
Validation time:
Validation loss:2.936, accuracy:0.404
--> 	 Eva. Ep 25 :, FID. 75.0543, Diversity Real. 9.6176, Diversity. 0.6280, R_precision_real. [0.52659574 0.70146277 0.79321809], R_precision. [0.03257979 0.0625     0.10172872], matching_score_real. 2.8939318656921387, matching_score_pred. 8.599433898925781
Validation time:
Validation loss:2.934, accuracy:0.391
ep/it:26-   1 niter:   600  21m 48s (- 1232m 23s) completed:  1%) loss_emb: 0.4761  loss: 2.9519  acc: 0.4010  lr: 0.0001 
Validation time:
Validation loss:2.875, accuracy:0.399
Validation time:
Validation loss:2.831, accuracy:0.403
ep/it:28-   5 niter:   650  23m 19s (- 1214m 24s) completed:  1%) loss_emb: 0.4722  loss: 2.8931  acc: 0.4006  lr: 0.0001 
Validation time:
Validation loss:2.766, accuracy:0.417
Improved accuracy from 0.41 to 0.4173836630323659!!!
Validation time:
Validation loss:2.761, accuracy:0.418
Improved accuracy from 0.42 to 0.4183086247547813!!!
--> 	 Eva. Ep 30 :, FID. 73.4347, Diversity Real. 9.3831, Diversity. 1.4344, R_precision_real. [0.51728723 0.7081117  0.80119681], R_precision. [0.05585106 0.11303191 0.17420213], matching_score_real. 2.8757784366607666, matching_score_pred. 8.5628080368042
--> --> 	 Diversity Improved from 1.03110 to 1.43436 !!!
--> --> 	 Top1 Improved from 0.0419 to 0.0559 !!!
--> --> 	 Top2 Improved from 0.0811 to 0.1130 !!!
--> --> 	 Top3 Improved from 0.1210 to 0.1742 !!!
ep/it:30-   9 niter:   700  25m 23s (- 1225m 55s) completed:  2%) loss_emb: 0.4668  loss: 2.8178  acc: 0.4110  lr: 0.0001 
Validation time:
Validation loss:2.743, accuracy:0.421
Improved accuracy from 0.42 to 0.4214779475460882!!!
Validation time:
Validation loss:2.724, accuracy:0.424
Improved accuracy from 0.42 to 0.42390097094618756!!!
ep/it:32-  13 niter:   750  26m 54s (- 1211m 0s) completed:  2%) loss_emb: 0.4589  loss: 2.7689  acc: 0.4185  lr: 0.0001 
Validation time:
Validation loss:2.681, accuracy:0.428
Improved accuracy from 0.42 to 0.4282331259354301!!!
Validation time:
Validation loss:2.712, accuracy:0.426
ep/it:34-  17 niter:   800  28m 25s (- 1197m 30s) completed:  2%) loss_emb: 0.4524  loss: 2.7270  acc: 0.4235  lr: 0.0001 
Validation time:
Validation loss:2.637, accuracy:0.436
Improved accuracy from 0.43 to 0.43644928154738055!!!
--> 	 Eva. Ep 35 :, FID. 69.7945, Diversity Real. 9.6339, Diversity. 1.4198, R_precision_real. [0.51861702 0.70944149 0.80784574], R_precision. [0.0625     0.12632979 0.19281915], matching_score_real. 2.912437677383423, matching_score_pred. 8.414446830749512
--> --> 	 matching_score Improved from 8.53550 to 8.41445 !!!
--> --> 	 Top1 Improved from 0.0559 to 0.0625 !!!
--> --> 	 Top2 Improved from 0.1130 to 0.1263 !!!
--> --> 	 Top3 Improved from 0.1742 to 0.1928 !!!
Validation time:
Validation loss:2.656, accuracy:0.435
ep/it:36-  21 niter:   850  30m 28s (- 1206m 23s) completed:  2%) loss_emb: 0.4477  loss: 2.6773  acc: 0.4301  lr: 0.0001 
Validation time:
Validation loss:2.638, accuracy:0.436
Validation time:
Validation loss:2.651, accuracy:0.439
Improved accuracy from 0.44 to 0.43913972896078357!!!
Validation time:
Validation loss:2.603, accuracy:0.441
Improved accuracy from 0.44 to 0.4413246045941892!!!
ep/it:39-   2 niter:   900  34m 25s (- 1284m 58s) completed:  2%) loss_emb: 0.4431  loss: 2.6480  acc: 0.4356  lr: 0.0001 
Validation time:
Validation loss:2.590, accuracy:0.443
Improved accuracy from 0.44 to 0.44258145145747974!!!
--> 	 Eva. Ep 40 :, FID. 67.0451, Diversity Real. 9.0112, Diversity. 1.6602, R_precision_real. [0.48537234 0.68683511 0.79787234], R_precision. [0.07047872 0.13031915 0.19281915], matching_score_real. 2.948681116104126, matching_score_pred. 8.314874649047852
--> --> 	 FID Improved from 69.73885 to 67.04509 !!!
--> --> 	 matching_score Improved from 8.41445 to 8.31487 !!!
--> --> 	 Diversity Improved from 1.43436 to 1.66020 !!!
--> --> 	 Top1 Improved from 0.0625 to 0.0705 !!!
--> --> 	 Top2 Improved from 0.1263 to 0.1303 !!!
Validation time:
Validation loss:2.551, accuracy:0.448
Improved accuracy from 0.44 to 0.44842753203018854!!!
ep/it:41-   6 niter:   950  40m 37s (- 1434m 44s) completed:  2%) loss_emb: 0.4381  loss: 2.6133  acc: 0.4398  lr: 0.0001 
Validation time:
Validation loss:2.543, accuracy:0.453
Improved accuracy from 0.45 to 0.4528869416402734!!!
Validation time:
Validation loss:2.561, accuracy:0.451
ep/it:43-  10 niter:  1000  45m 52s (- 1536m 57s) completed:  2%) loss_emb: 0.4346  loss: 2.5882  acc: 0.4449  lr: 0.0001 
Validation time:
Validation loss:2.560, accuracy:0.453
Improved accuracy from 0.45 to 0.4534329707207887!!!
Validation time:
Validation loss:2.535, accuracy:0.458
Improved accuracy from 0.45 to 0.45839249180710834!!!
--> 	 Eva. Ep 45 :, FID. 68.4353, Diversity Real. 9.6771, Diversity. 1.4573, R_precision_real. [0.50332447 0.69946809 0.80053191], R_precision. [0.0724734  0.14228723 0.19946809], matching_score_real. 2.9121246337890625, matching_score_pred. 8.408653259277344
--> --> 	 Top1 Improved from 0.0705 to 0.0725 !!!
--> --> 	 Top2 Improved from 0.1303 to 0.1423 !!!
--> --> 	 Top3 Improved from 0.1928 to 0.1995 !!!
ep/it:45-  14 niter:  1050  52m 5s (- 1659m 34s) completed:  3%) loss_emb: 0.4281  loss: 2.5601  acc: 0.4499  lr: 0.0001 
Validation time:
Validation loss:2.512, accuracy:0.456
Validation time:
Validation loss:2.534, accuracy:0.460
Improved accuracy from 0.46 to 0.46046355885008106!!!
ep/it:47-  18 niter:  1100  57m 20s (- 1741m 17s) completed:  3%) loss_emb: 0.4204  loss: 2.5299  acc: 0.4551  lr: 0.0001 
Validation time:
Validation loss:2.492, accuracy:0.465
Improved accuracy from 0.46 to 0.46548006586406543!!!
Validation time:
Validation loss:2.444, accuracy:0.471
Improved accuracy from 0.47 to 0.47098914695822675!!!
ep/it:49-  22 niter:  1150  62m 33s (- 1814m 20s) completed:  3%) loss_emb: 0.4107  loss: 2.4836  acc: 0.4645  lr: 0.0001 
Validation time:
Validation loss:2.424, accuracy:0.474
Improved accuracy from 0.47 to 0.4743038480696471!!!
--> 	 Eva. Ep 50 :, FID. 68.5375, Diversity Real. 9.3085, Diversity. 1.5565, R_precision_real. [0.49401596 0.69215426 0.78257979], R_precision. [0.05984043 0.12566489 0.19414894], matching_score_real. 2.9278206825256348, matching_score_pred. 8.396822929382324
Validation time:
Validation loss:2.411, accuracy:0.480
Improved accuracy from 0.47 to 0.4802055993805761!!!
Validation time:
Validation loss:2.392, accuracy:0.482
Improved accuracy from 0.48 to 0.482411485651265!!!
ep/it:52-   3 niter:  1200  69m 14s (- 1921m 34s) completed:  3%) loss_emb: 0.4014  loss: 2.4447  acc: 0.4725  lr: 0.0001 
Validation time:
Validation loss:2.367, accuracy:0.486
Improved accuracy from 0.48 to 0.4863513824732407!!!
Validation time:
Validation loss:2.339, accuracy:0.494
Improved accuracy from 0.49 to 0.4944807135540506!!!
ep/it:54-   7 niter:  1250  74m 30s (- 1981m 53s) completed:  3%) loss_emb: 0.3954  loss: 2.4081  acc: 0.4809  lr: 0.0001 
Validation time:
Validation loss:2.325, accuracy:0.498
Improved accuracy from 0.49 to 0.4978519483752873!!!
--> 	 Eva. Ep 55 :, FID. 68.6399, Diversity Real. 9.4698, Diversity. 1.3250, R_precision_real. [0.50598404 0.68617021 0.78590426], R_precision. [0.06582447 0.13364362 0.20412234], matching_score_real. 2.9772419929504395, matching_score_pred. 8.358878135681152
--> --> 	 Top3 Improved from 0.1995 to 0.2041 !!!
Validation time:
Validation loss:2.292, accuracy:0.502
Improved accuracy from 0.50 to 0.5016496194445569!!!
ep/it:56-  11 niter:  1300  80m 38s (- 2059m 31s) completed:  3%) loss_emb: 0.3863  loss: 2.3559  acc: 0.4904  lr: 0.0001 
Validation time:
Validation loss:2.293, accuracy:0.502
Improved accuracy from 0.50 to 0.5016608601031096!!!
Validation time:
Validation loss:2.290, accuracy:0.506
Improved accuracy from 0.50 to 0.5055112113123355!!!
ep/it:58-  15 niter:  1350  85m 51s (- 2108m 8s) completed:  3%) loss_emb: 0.3782  loss: 2.3155  acc: 0.4980  lr: 0.0001 
Validation time:
Validation loss:2.239, accuracy:0.511
Improved accuracy from 0.51 to 0.5111325046290522!!!
Validation time:
Validation loss:2.226, accuracy:0.516
Improved accuracy from 0.51 to 0.5155053553373917!!!
--> 	 Eva. Ep 60 :, FID. 66.5244, Diversity Real. 9.2805, Diversity. 1.4962, R_precision_real. [0.50598404 0.70279255 0.79055851], R_precision. [0.06848404 0.14095745 0.20146277], matching_score_real. 2.937354803085327, matching_score_pred. 8.385354995727539
--> --> 	 FID Improved from 67.04509 to 66.52436 !!!
ep/it:60-  19 niter:  1400  92m 2s (- 2176m 11s) completed:  4%) loss_emb: 0.3700  loss: 2.2730  acc: 0.5068  lr: 0.0001 
Validation time:
Validation loss:2.205, accuracy:0.518
Improved accuracy from 0.52 to 0.518186259528865!!!
Validation time:
Validation loss:2.184, accuracy:0.521
Improved accuracy from 0.52 to 0.5209721054719842!!!
Validation time:
Validation loss:2.200, accuracy:0.522
Improved accuracy from 0.52 to 0.5215801557768946!!!
ep/it:63-   0 niter:  1450  97m 49s (- 2229m 45s) completed:  4%) loss_emb: 0.3634  loss: 2.2359  acc: 0.5129  lr: 0.0001 
Validation time:
Validation loss:2.148, accuracy:0.528
Improved accuracy from 0.52 to 0.5283512239870818!!!
Validation time:
Validation loss:2.140, accuracy:0.530
Improved accuracy from 0.53 to 0.5304208242374918!!!
--> 	 Eva. Ep 65 :, FID. 65.0762, Diversity Real. 9.4211, Diversity. 1.5705, R_precision_real. [0.52659574 0.70944149 0.79853723], R_precision. [0.06515957 0.14428191 0.21276596], matching_score_real. 2.8838939666748047, matching_score_pred. 8.347810745239258
--> --> 	 FID Improved from 66.52436 to 65.07624 !!!
--> --> 	 Top2 Improved from 0.1423 to 0.1443 !!!
--> --> 	 Top3 Improved from 0.2041 to 0.2128 !!!
ep/it:65-   4 niter:  1500  104m 1s (- 2288m 31s) completed:  4%) loss_emb: 0.3583  loss: 2.1931  acc: 0.5189  lr: 0.0001 
Validation time:
Validation loss:2.135, accuracy:0.531
Improved accuracy from 0.53 to 0.5309404886287191!!!
Validation time:
Validation loss:2.087, accuracy:0.538
Improved accuracy from 0.53 to 0.5379403026207633!!!
ep/it:67-   8 niter:  1550  109m 16s (- 2323m 2s) completed:  4%) loss_emb: 0.3521  loss: 2.1698  acc: 0.5257  lr: 0.0002 
Validation time:
Validation loss:2.078, accuracy:0.539
Improved accuracy from 0.54 to 0.5393754684406779!!!
Validation time:
Validation loss:2.073, accuracy:0.542
Improved accuracy from 0.54 to 0.5423205922479215!!!
ep/it:69-  12 niter:  1600  114m 29s (- 2354m 17s) completed:  4%) loss_emb: 0.3475  loss: 2.1276  acc: 0.5324  lr: 0.0002 
Validation time:
Validation loss:2.056, accuracy:0.544
Improved accuracy from 0.54 to 0.5437869896059451!!!
--> 	 Eva. Ep 70 :, FID. 62.6328, Diversity Real. 9.4943, Diversity. 1.6109, R_precision_real. [0.50864362 0.70079787 0.7918883 ], R_precision. [0.07513298 0.1462766  0.21675532], matching_score_real. 2.8875739574432373, matching_score_pred. 8.247557640075684
--> --> 	 FID Improved from 65.07624 to 62.63276 !!!
--> --> 	 matching_score Improved from 8.31487 to 8.24756 !!!
--> --> 	 Top1 Improved from 0.0725 to 0.0751 !!!
--> --> 	 Top2 Improved from 0.1443 to 0.1463 !!!
--> --> 	 Top3 Improved from 0.2128 to 0.2168 !!!
Validation time:
Validation loss:2.052, accuracy:0.546
Improved accuracy from 0.54 to 0.5464280377263608!!!
ep/it:71-  16 niter:  1650  120m 40s (- 2402m 23s) completed:  4%) loss_emb: 0.3440  loss: 2.1001  acc: 0.5373  lr: 0.0002 
Validation time:
Validation loss:2.053, accuracy:0.548
Improved accuracy from 0.55 to 0.5477451397025067!!!
Validation time:
Validation loss:2.003, accuracy:0.554
Improved accuracy from 0.55 to 0.5542227081630541!!!
ep/it:73-  20 niter:  1700  125m 54s (- 2429m 17s) completed:  4%) loss_emb: 0.3393  loss: 2.0801  acc: 0.5427  lr: 0.0002 
Validation time:
Validation loss:2.025, accuracy:0.553
Validation time:
Validation loss:1.981, accuracy:0.557
Improved accuracy from 0.55 to 0.556916286116061!!!
--> 	 Eva. Ep 75 :, FID. 64.5331, Diversity Real. 9.7386, Diversity. 1.7448, R_precision_real. [0.52992021 0.71409574 0.80718085], R_precision. [0.06449468 0.12765957 0.18949468], matching_score_real. 2.8404171466827393, matching_score_pred. 8.295811653137207
--> --> 	 Diversity Improved from 1.66020 to 1.74482 !!!
Validation time:
Validation loss:1.977, accuracy:0.560
Improved accuracy from 0.56 to 0.559749846873076!!!
ep/it:76-   1 niter:  1750  132m 36s (- 2481m 34s) completed:  5%) loss_emb: 0.3375  loss: 2.0568  acc: 0.5469  lr: 0.0002 
Validation time:
Validation loss:1.998, accuracy:0.560
Improved accuracy from 0.56 to 0.5603870516238005!!!
Validation time:
Validation loss:1.985, accuracy:0.564
Improved accuracy from 0.56 to 0.5641198676565419!!!
ep/it:78-   5 niter:  1800  137m 51s (- 2504m 29s) completed:  5%) loss_emb: 0.3347  loss: 2.0453  acc: 0.5508  lr: 0.0002 
Validation time:
Validation loss:1.942, accuracy:0.572
Improved accuracy from 0.56 to 0.5715502293213554!!!
Validation time:
Validation loss:1.958, accuracy:0.568
--> 	 Eva. Ep 80 :, FID. 63.0128, Diversity Real. 9.5793, Diversity. 1.6368, R_precision_real. [0.51928191 0.70013298 0.80385638], R_precision. [0.07912234 0.14760638 0.21077128], matching_score_real. 2.9224672317504883, matching_score_pred. 8.302108764648438
--> --> 	 Top1 Improved from 0.0751 to 0.0791 !!!
--> --> 	 Top2 Improved from 0.1463 to 0.1476 !!!
ep/it:80-   9 niter:  1850  144m 5s (- 2542m 52s) completed:  5%) loss_emb: 0.3269  loss: 1.9835  acc: 0.5599  lr: 0.0002 
Validation time:
Validation loss:1.928, accuracy:0.570
Validation time:
Validation loss:1.888, accuracy:0.575
Improved accuracy from 0.57 to 0.5753137883932694!!!
ep/it:82-  13 niter:  1900  149m 18s (- 2561m 41s) completed:  5%) loss_emb: 0.3244  loss: 1.9810  acc: 0.5638  lr: 0.0002 
Validation time:
Validation loss:1.906, accuracy:0.574
Validation time:
Validation loss:1.892, accuracy:0.579
Improved accuracy from 0.58 to 0.579240752303082!!!
ep/it:84-  17 niter:  1950  154m 31s (- 2579m 20s) completed:  5%) loss_emb: 0.3222  loss: 1.9516  acc: 0.5662  lr: 0.0002 
Validation time:
Validation loss:1.886, accuracy:0.579
Improved accuracy from 0.58 to 0.5794758952182272!!!
--> 	 Eva. Ep 85 :, FID. 63.6227, Diversity Real. 9.5739, Diversity. 1.6376, R_precision_real. [0.49867021 0.69148936 0.79255319], R_precision. [0.06050532 0.13098404 0.20611702], matching_score_real. 2.9213526248931885, matching_score_pred. 8.22751235961914
--> --> 	 matching_score Improved from 8.24756 to 8.22751 !!!
Validation time:
Validation loss:1.881, accuracy:0.580
Improved accuracy from 0.58 to 0.5799197632333507!!!
ep/it:86-  21 niter:  2000  160m 43s (- 2611m 52s) completed:  5%) loss_emb: 0.3196  loss: 1.9342  acc: 0.5718  lr: 0.0002 
Validation time:
Validation loss:1.887, accuracy:0.581
Improved accuracy from 0.58 to 0.5814740891041963!!!
Validation time:
Validation loss:1.884, accuracy:0.581
Validation time:
Validation loss:1.839, accuracy:0.588
Improved accuracy from 0.58 to 0.587757768838302!!!
ep/it:89-   2 niter:  2050  166m 29s (- 2635m 22s) completed:  5%) loss_emb: 0.3160  loss: 1.9129  acc: 0.5750  lr: 0.0002 
Validation time:
Validation loss:1.855, accuracy:0.588
Improved accuracy from 0.59 to 0.5879275902457859!!!
--> 	 Eva. Ep 90 :, FID. 64.0075, Diversity Real. 9.6566, Diversity. 1.6311, R_precision_real. [0.51928191 0.6974734  0.7918883 ], R_precision. [0.06981383 0.1356383  0.19215426], matching_score_real. 2.8897666931152344, matching_score_pred. 8.303365707397461
Validation time:
Validation loss:1.855, accuracy:0.586
ep/it:91-   6 niter:  2100  172m 41s (- 2664m 19s) completed:  6%) loss_emb: 0.3133  loss: 1.8904  acc: 0.5792  lr: 0.0002 
Validation time:
Validation loss:1.828, accuracy:0.589
Improved accuracy from 0.59 to 0.5888027574705041!!!
Validation time:
Validation loss:1.806, accuracy:0.594
Improved accuracy from 0.59 to 0.594226826792178!!!
ep/it:93-  10 niter:  2150  177m 56s (- 2677m 30s) completed:  6%) loss_emb: 0.3122  loss: 1.8777  acc: 0.5825  lr: 0.0002 
Validation time:
Validation loss:1.802, accuracy:0.595
Improved accuracy from 0.59 to 0.5951012087904889!!!
Validation time:
Validation loss:1.820, accuracy:0.593
--> 	 Eva. Ep 95 :, FID. 62.7847, Diversity Real. 9.7472, Diversity. 1.6614, R_precision_real. [0.50265957 0.70744681 0.80119681], R_precision. [0.06382979 0.12034574 0.17220745], matching_score_real. 2.872950553894043, matching_score_pred. 8.270814895629883
ep/it:95-  14 niter:  2200  184m 9s (- 2703m 47s) completed:  6%) loss_emb: 0.3074  loss: 1.8551  acc: 0.5872  lr: 0.0002 
Validation time:
Validation loss:1.802, accuracy:0.598
Improved accuracy from 0.60 to 0.597551923731099!!!
Validation time:
Validation loss:1.779, accuracy:0.601
Improved accuracy from 0.60 to 0.6008863682332246!!!
ep/it:97-  18 niter:  2250  189m 23s (- 2714m 31s) completed:  6%) loss_emb: 0.3070  loss: 1.8394  acc: 0.5898  lr: 0.0002 
Validation time:
Validation loss:1.776, accuracy:0.602
Improved accuracy from 0.60 to 0.60196402280227!!!
Validation time:
Validation loss:1.764, accuracy:0.605
Improved accuracy from 0.60 to 0.6048759377521017!!!
ep/it:99-  22 niter:  2300  194m 38s (- 2724m 53s) completed:  6%) loss_emb: 0.3052  loss: 1.8286  acc: 0.5922  lr: 0.0002 
Validation time:
Validation loss:1.759, accuracy:0.601
--> 	 Eva. Ep 100 :, FID. 64.5895, Diversity Real. 9.1709, Diversity. 1.5033, R_precision_real. [0.52593085 0.72007979 0.80452128], R_precision. [0.06914894 0.12300532 0.18417553], matching_score_real. 2.9009087085723877, matching_score_pred. 8.38464641571045
Validation time:
Validation loss:1.755, accuracy:0.607
Improved accuracy from 0.60 to 0.6066143720046334!!!
Validation time:
Validation loss:1.712, accuracy:0.612
Improved accuracy from 0.61 to 0.6117271366326705!!!
ep/it:102-   3 niter:  2350  201m 24s (- 2755m 28s) completed:  6%) loss_emb: 0.3004  loss: 1.7974  acc: 0.5987  lr: 0.0002 
Validation time:
Validation loss:1.725, accuracy:0.610
Validation time:
Validation loss:1.730, accuracy:0.611
ep/it:104-   7 niter:  2400  206m 39s (- 2764m 0s) completed:  6%) loss_emb: 0.2980  loss: 1.7865  acc: 0.6011  lr: 0.0002 
Validation time:
Validation loss:1.726, accuracy:0.612
--> 	 Eva. Ep 105 :, FID. 61.0368, Diversity Real. 9.6176, Diversity. 1.6488, R_precision_real. [0.50731383 0.71409574 0.80585106], R_precision. [0.07978723 0.1462766  0.21675532], matching_score_real. 2.8926031589508057, matching_score_pred. 8.213723182678223
--> --> 	 FID Improved from 62.63276 to 61.03675 !!!
--> --> 	 matching_score Improved from 8.22751 to 8.21372 !!!
--> --> 	 Top1 Improved from 0.0791 to 0.0798 !!!
Validation time:
Validation loss:1.679, accuracy:0.620
Improved accuracy from 0.61 to 0.6196163763170657!!!
ep/it:106-  11 niter:  2450  212m 51s (- 2784m 26s) completed:  7%) loss_emb: 0.2944  loss: 1.7641  acc: 0.6056  lr: 0.0002 
Validation time:
Validation loss:1.694, accuracy:0.617
Validation time:
Validation loss:1.684, accuracy:0.619
ep/it:108-  15 niter:  2500  218m 5s (- 2791m 34s) completed:  7%) loss_emb: 0.2942  loss: 1.7571  acc: 0.6065  lr: 0.0002 
Validation time:
Validation loss:1.671, accuracy:0.622
Improved accuracy from 0.62 to 0.6218426849531091!!!
Validation time:
Validation loss:1.679, accuracy:0.622
--> 	 Eva. Ep 110 :, FID. 63.0795, Diversity Real. 9.7459, Diversity. 1.5995, R_precision_real. [0.5212766  0.70013298 0.79587766], R_precision. [0.07845745 0.14295213 0.21276596], matching_score_real. 2.917250871658325, matching_score_pred. 8.304902076721191
ep/it:110-  19 niter:  2550  224m 15s (- 2809m 48s) completed:  7%) loss_emb: 0.2897  loss: 1.7270  acc: 0.6115  lr: 0.0002 
Validation time:
Validation loss:1.656, accuracy:0.622
Validation time:
Validation loss:1.664, accuracy:0.623
Improved accuracy from 0.62 to 0.6233348354049351!!!
Validation time:
Validation loss:1.646, accuracy:0.627
Improved accuracy from 0.62 to 0.6265198018239893!!!
ep/it:113-   0 niter:  2600  230m 0s (- 2822m 7s) completed:  7%) loss_emb: 0.2889  loss: 1.7201  acc: 0.6140  lr: 0.0002 
Validation time:
Validation loss:1.630, accuracy:0.630
Improved accuracy from 0.63 to 0.6300626708113629!!!
Validation time:
Validation loss:1.651, accuracy:0.626
--> 	 Eva. Ep 115 :, FID. 61.2559, Diversity Real. 9.3582, Diversity. 1.7130, R_precision_real. [0.51662234 0.71675532 0.80851064], R_precision. [0.07845745 0.14428191 0.21875   ], matching_score_real. 2.8950345516204834, matching_score_pred. 8.166853904724121
--> --> 	 matching_score Improved from 8.21372 to 8.16685 !!!
--> --> 	 Top3 Improved from 0.2168 to 0.2188 !!!
ep/it:115-   4 niter:  2650  236m 12s (- 2838m 56s) completed:  7%) loss_emb: 0.2864  loss: 1.7066  acc: 0.6167  lr: 0.0002 
Validation time:
Validation loss:1.642, accuracy:0.627
Validation time:
Validation loss:1.632, accuracy:0.629
ep/it:117-   8 niter:  2700  241m 27s (- 2843m 54s) completed:  7%) loss_emb: 0.2824  loss: 1.6819  acc: 0.6223  lr: 0.0002 
Validation time:
Validation loss:1.610, accuracy:0.634
Improved accuracy from 0.63 to 0.6342457506967627!!!
Validation time:
Validation loss:1.630, accuracy:0.633
ep/it:119-  12 niter:  2750  246m 43s (- 2848m 27s) completed:  7%) loss_emb: 0.2795  loss: 1.6642  acc: 0.6252  lr: 0.0002 
Validation time:
Validation loss:1.600, accuracy:0.637
Improved accuracy from 0.63 to 0.6369895675907964!!!
--> 	 Eva. Ep 120 :, FID. 62.3155, Diversity Real. 9.4535, Diversity. 1.7979, R_precision_real. [0.50332447 0.68218085 0.77460106], R_precision. [0.06183511 0.11968085 0.17553191], matching_score_real. 3.0004723072052, matching_score_pred. 8.291845321655273
--> --> 	 Diversity Improved from 1.74482 to 1.79791 !!!
Validation time:
Validation loss:1.592, accuracy:0.637
Improved accuracy from 0.64 to 0.6373272823250812!!!
ep/it:121-  16 niter:  2800  252m 58s (- 2864m 0s) completed:  8%) loss_emb: 0.2779  loss: 1.6479  acc: 0.6280  lr: 0.0002 
Validation time:
Validation loss:1.573, accuracy:0.640
Improved accuracy from 0.64 to 0.6400324106216431!!!
Validation time:
Validation loss:1.579, accuracy:0.642
Improved accuracy from 0.64 to 0.6420890092849731!!!
ep/it:123-  20 niter:  2850  258m 12s (- 2867m 31s) completed:  8%) loss_emb: 0.2741  loss: 1.6271  acc: 0.6319  lr: 0.0002 
Validation time:
Validation loss:1.577, accuracy:0.641
Validation time:
Validation loss:1.590, accuracy:0.642
Improved accuracy from 0.64 to 0.6421409456626229!!!
--> 	 Eva. Ep 125 :, FID. 62.8907, Diversity Real. 9.2526, Diversity. 1.6471, R_precision_real. [0.53058511 0.72273936 0.80452128], R_precision. [0.06117021 0.125      0.18417553], matching_score_real. 2.864131212234497, matching_score_pred. 8.278340339660645
Validation time:
Validation loss:1.553, accuracy:0.644
Improved accuracy from 0.64 to 0.6440321440282075!!!
ep/it:126-   1 niter:  2900  264m 52s (- 2886m 13s) completed:  8%) loss_emb: 0.2736  loss: 1.6210  acc: 0.6333  lr: 0.0002 
Validation time:
Validation loss:1.566, accuracy:0.641
Validation time:
Validation loss:1.524, accuracy:0.650
Improved accuracy from 0.64 to 0.6504374379697053!!!
ep/it:128-   5 niter:  2950  270m 6s (- 2888m 42s) completed:  8%) loss_emb: 0.2725  loss: 1.6106  acc: 0.6345  lr: 0.0002 
Validation time:
Validation loss:1.557, accuracy:0.646
Validation time:
Validation loss:1.515, accuracy:0.650
--> 	 Eva. Ep 130 :, FID. 63.2831, Diversity Real. 9.3364, Diversity. 1.5453, R_precision_real. [0.51462766 0.71210106 0.80784574], R_precision. [0.06117021 0.11635638 0.18351064], matching_score_real. 2.8585610389709473, matching_score_pred. 8.361701965332031
ep/it:130-   9 niter:  3000  276m 17s (- 2901m 2s) completed:  8%) loss_emb: 0.2716  loss: 1.6043  acc: 0.6362  lr: 0.0002 
Validation time:
Validation loss:1.539, accuracy:0.649
Validation time:
Validation loss:1.527, accuracy:0.648
ep/it:132-  13 niter:  3050  281m 33s (- 2903m 16s) completed:  8%) loss_emb: 0.2700  loss: 1.5993  acc: 0.6379  lr: 0.0002 
Validation time:
Validation loss:1.522, accuracy:0.650
Validation time:
Validation loss:1.520, accuracy:0.652
Improved accuracy from 0.65 to 0.6516448337098827!!!
ep/it:134-  17 niter:  3100  286m 45s (- 2904m 35s) completed:  8%) loss_emb: 0.2694  loss: 1.5903  acc: 0.6392  lr: 0.0002 
Validation time:
Validation loss:1.518, accuracy:0.655
Improved accuracy from 0.65 to 0.6546242729477261!!!
--> 	 Eva. Ep 135 :, FID. 63.5667, Diversity Real. 9.4079, Diversity. 1.6932, R_precision_real. [0.52327128 0.69614362 0.79986702], R_precision. [0.06382979 0.12300532 0.18218085], matching_score_real. 2.914865016937256, matching_score_pred. 8.310890197753906
Validation time:
Validation loss:1.502, accuracy:0.654
ep/it:136-  21 niter:  3150  292m 56s (- 2915m 31s) completed:  9%) loss_emb: 0.2664  loss: 1.5707  acc: 0.6438  lr: 0.0002 
Validation time:
Validation loss:1.489, accuracy:0.660
Improved accuracy from 0.65 to 0.6595379243726316!!!
Validation time:
Validation loss:1.505, accuracy:0.655
Validation time:
Validation loss:1.472, accuracy:0.659
ep/it:139-   2 niter:  3200  298m 41s (- 2921m 37s) completed:  9%) loss_emb: 0.2642  loss: 1.5598  acc: 0.6458  lr: 0.0002 
Validation time:
Validation loss:1.461, accuracy:0.665
Improved accuracy from 0.66 to 0.6648780962695247!!!
--> 	 Eva. Ep 140 :, FID. 62.5420, Diversity Real. 9.4187, Diversity. 1.6792, R_precision_real. [0.51728723 0.7081117  0.80585106], R_precision. [0.07047872 0.13098404 0.20412234], matching_score_real. 2.87304949760437, matching_score_pred. 8.234402656555176
Validation time:
Validation loss:1.476, accuracy:0.659
ep/it:141-   6 niter:  3250  304m 54s (- 2931m 53s) completed:  9%) loss_emb: 0.2636  loss: 1.5484  acc: 0.6467  lr: 0.0002 
Validation time:
Validation loss:1.488, accuracy:0.660
Validation time:
Validation loss:1.449, accuracy:0.666
Improved accuracy from 0.66 to 0.6656625141268191!!!
ep/it:143-  10 niter:  3300  310m 9s (- 2932m 28s) completed:  9%) loss_emb: 0.2624  loss: 1.5513  acc: 0.6473  lr: 0.0002 
Validation time:
Validation loss:1.443, accuracy:0.670
Improved accuracy from 0.67 to 0.6696369129678478!!!
Validation time:
Validation loss:1.448, accuracy:0.665
--> 	 Eva. Ep 145 :, FID. 63.7974, Diversity Real. 9.4775, Diversity. 1.5885, R_precision_real. [0.49468085 0.68351064 0.7912234 ], R_precision. [0.06981383 0.13829787 0.1875    ], matching_score_real. 2.9724552631378174, matching_score_pred. 8.324278831481934
ep/it:145-  14 niter:  3350  316m 22s (- 2941m 48s) completed:  9%) loss_emb: 0.2618  loss: 1.5346  acc: 0.6485  lr: 0.0002 
Validation time:
Validation loss:1.450, accuracy:0.664
Validation time:
Validation loss:1.475, accuracy:0.657
ep/it:147-  18 niter:  3400  321m 37s (- 2941m 54s) completed:  9%) loss_emb: 0.2593  loss: 1.5281  acc: 0.6513  lr: 0.0002 
Validation time:
Validation loss:1.454, accuracy:0.665
Validation time:
Validation loss:1.446, accuracy:0.666
ep/it:149-  22 niter:  3450  326m 49s (- 2941m 24s) completed: 10%) loss_emb: 0.2573  loss: 1.5127  acc: 0.6543  lr: 0.0002 
Validation time:
Validation loss:1.401, accuracy:0.673
Improved accuracy from 0.67 to 0.6727570606314618!!!
--> 	 Eva. Ep 150 :, FID. 63.2007, Diversity Real. 9.9269, Diversity. 1.6695, R_precision_real. [0.51662234 0.68949468 0.77726064], R_precision. [0.06382979 0.13164894 0.20212766], matching_score_real. 2.929086446762085, matching_score_pred. 8.247437477111816
Validation time:
Validation loss:1.450, accuracy:0.666
Validation time:
Validation loss:1.411, accuracy:0.672
ep/it:152-   3 niter:  3500  333m 29s (- 2953m 44s) completed: 10%) loss_emb: 0.2534  loss: 1.4844  acc: 0.6583  lr: 0.0002 
Validation time:
Validation loss:1.408, accuracy:0.673
Improved accuracy from 0.67 to 0.6728082091911979!!!
Validation time:
Validation loss:1.394, accuracy:0.675
Improved accuracy from 0.67 to 0.6750524018121802!!!
ep/it:154-   7 niter:  3550  338m 44s (- 2953m 16s) completed: 10%) loss_emb: 0.2527  loss: 1.4860  acc: 0.6600  lr: 0.0002 
Validation time:
Validation loss:1.403, accuracy:0.673
--> 	 Eva. Ep 155 :, FID. 63.3530, Diversity Real. 9.5322, Diversity. 1.6257, R_precision_real. [0.49601064 0.68816489 0.7918883 ], R_precision. [0.07446809 0.1349734  0.19281915], matching_score_real. 2.891425371170044, matching_score_pred. 8.271657943725586
Validation time:
Validation loss:1.380, accuracy:0.677
Improved accuracy from 0.68 to 0.6772918623426686!!!
ep/it:156-  11 niter:  3600  344m 55s (- 2960m 32s) completed: 10%) loss_emb: 0.2512  loss: 1.4729  acc: 0.6620  lr: 0.0002 
Validation time:
Validation loss:1.405, accuracy:0.675
Validation time:
Validation loss:1.359, accuracy:0.682
Improved accuracy from 0.68 to 0.6823311577672544!!!
ep/it:158-  15 niter:  3650  350m 10s (- 2959m 42s) completed: 10%) loss_emb: 0.2476  loss: 1.4524  acc: 0.6666  lr: 0.0002 
Validation time:
Validation loss:1.375, accuracy:0.678
Validation time:
Validation loss:1.382, accuracy:0.676
--> 	 Eva. Ep 160 :, FID. 63.5275, Diversity Real. 9.3929, Diversity. 1.6242, R_precision_real. [0.5212766  0.70611702 0.79321809], R_precision. [0.07446809 0.13630319 0.19614362], matching_score_real. 2.900848627090454, matching_score_pred. 8.321748733520508
ep/it:160-  19 niter:  3700  356m 20s (- 2966m 20s) completed: 10%) loss_emb: 0.2513  loss: 1.4666  acc: 0.6619  lr: 0.0002 
Validation time:
Validation loss:1.384, accuracy:0.676
Validation time:
Validation loss:1.341, accuracy:0.686
Improved accuracy from 0.68 to 0.6858269805493562!!!
Validation time:
Validation loss:1.328, accuracy:0.687
Improved accuracy from 0.69 to 0.6873486042022705!!!
ep/it:163-   0 niter:  3750  362m 4s (- 2969m 3s) completed: 10%) loss_emb: 0.2491  loss: 1.4561  acc: 0.6634  lr: 0.0002 
Validation time:
Validation loss:1.362, accuracy:0.681
Validation time:
Validation loss:1.360, accuracy:0.682
--> 	 Eva. Ep 165 :, FID. 64.0315, Diversity Real. 9.2404, Diversity. 1.6020, R_precision_real. [0.52327128 0.71409574 0.80917553], R_precision. [0.07712766 0.1456117  0.20744681], matching_score_real. 2.8804643154144287, matching_score_pred. 8.272941589355469
ep/it:165-   4 niter:  3800  368m 13s (- 2974m 52s) completed: 11%) loss_emb: 0.2451  loss: 1.4308  acc: 0.6694  lr: 0.0002 
Validation time:
Validation loss:1.346, accuracy:0.684
Validation time:
Validation loss:1.335, accuracy:0.685
ep/it:167-   8 niter:  3850  373m 24s (- 2972m 41s) completed: 11%) loss_emb: 0.2433  loss: 1.4124  acc: 0.6723  lr: 0.0002 
Validation time:
Validation loss:1.361, accuracy:0.682
Validation time:
Validation loss:1.350, accuracy:0.683
ep/it:169-  12 niter:  3900  378m 37s (- 2970m 41s) completed: 11%) loss_emb: 0.2428  loss: 1.4151  acc: 0.6720  lr: 0.0002 
Validation time:
Validation loss:1.345, accuracy:0.682
--> 	 Eva. Ep 170 :, FID. 63.2375, Diversity Real. 9.9753, Diversity. 1.6497, R_precision_real. [0.50465426 0.71077128 0.78989362], R_precision. [0.06582447 0.13364362 0.19082447], matching_score_real. 2.9260735511779785, matching_score_pred. 8.313591957092285
Validation time:
Validation loss:1.327, accuracy:0.687
ep/it:171-  16 niter:  3950  384m 47s (- 2976m 5s) completed: 11%) loss_emb: 0.2420  loss: 1.4171  acc: 0.6733  lr: 0.0002 
Validation time:
Validation loss:1.311, accuracy:0.688
Improved accuracy from 0.69 to 0.688365417978038!!!
Validation time:
Validation loss:1.315, accuracy:0.689
Improved accuracy from 0.69 to 0.6892498446547467!!!
ep/it:173-  20 niter:  4000  390m 1s (- 2973m 53s) completed: 11%) loss_emb: 0.2436  loss: 1.4145  acc: 0.6717  lr: 0.0002 
Validation time:
Validation loss:1.304, accuracy:0.692
Improved accuracy from 0.69 to 0.6919666347296342!!!
Validation time:
Validation loss:1.292, accuracy:0.693
Improved accuracy from 0.69 to 0.6930391399756722!!!
--> 	 Eva. Ep 175 :, FID. 63.8131, Diversity Real. 9.5233, Diversity. 1.6510, R_precision_real. [0.52992021 0.70545213 0.79654255], R_precision. [0.08045213 0.1356383  0.19880319], matching_score_real. 2.8980586528778076, matching_score_pred. 8.29637622833252
--> --> 	 Top1 Improved from 0.0798 to 0.0805 !!!
Validation time:
Validation loss:1.332, accuracy:0.684
ep/it:176-   1 niter:  4050  396m 43s (- 2982m 44s) completed: 11%) loss_emb: 0.2435  loss: 1.4093  acc: 0.6714  lr: 0.0002 
Validation time:
Validation loss:1.334, accuracy:0.685
Validation time:
Validation loss:1.295, accuracy:0.693
ep/it:178-   5 niter:  4100  401m 56s (- 2980m 18s) completed: 11%) loss_emb: 0.2376  loss: 1.3802  acc: 0.6791  lr: 0.0002 
Validation time:
Validation loss:1.289, accuracy:0.695
Improved accuracy from 0.69 to 0.6946390919063402!!!
Validation time:
Validation loss:1.295, accuracy:0.693
--> 	 Eva. Ep 180 :, FID. 62.6503, Diversity Real. 9.6095, Diversity. 1.7132, R_precision_real. [0.51795213 0.7087766  0.79587766], R_precision. [0.07047872 0.13297872 0.18882979], matching_score_real. 2.9291794300079346, matching_score_pred. 8.25575065612793
ep/it:180-   9 niter:  4150  408m 7s (- 2984m 45s) completed: 12%) loss_emb: 0.2356  loss: 1.3689  acc: 0.6814  lr: 0.0002 
Validation time:
Validation loss:1.273, accuracy:0.696
Improved accuracy from 0.69 to 0.6957495160724806!!!
Validation time:
Validation loss:1.293, accuracy:0.694
ep/it:182-  13 niter:  4200  413m 21s (- 2982m 3s) completed: 12%) loss_emb: 0.2393  loss: 1.3887  acc: 0.6769  lr: 0.0002 
Validation time:
Validation loss:1.260, accuracy:0.698
Improved accuracy from 0.70 to 0.6980073141015094!!!
Validation time:
Validation loss:1.273, accuracy:0.698
ep/it:184-  17 niter:  4250  418m 33s (- 2979m 11s) completed: 12%) loss_emb: 0.2373  loss: 1.3689  acc: 0.6801  lr: 0.0002 
Validation time:
Validation loss:1.274, accuracy:0.696
--> 	 Eva. Ep 185 :, FID. 62.5837, Diversity Real. 9.6340, Diversity. 1.6623, R_precision_real. [0.51662234 0.69946809 0.80452128], R_precision. [0.07579787 0.15026596 0.21675532], matching_score_real. 2.8778131008148193, matching_score_pred. 8.184619903564453
--> --> 	 Top2 Improved from 0.1476 to 0.1503 !!!
Validation time:
Validation loss:1.296, accuracy:0.694
ep/it:186-  21 niter:  4300  424m 42s (- 2982m 47s) completed: 12%) loss_emb: 0.2360  loss: 1.3638  acc: 0.6809  lr: 0.0002 
Validation time:
Validation loss:1.296, accuracy:0.693
Validation time:
Validation loss:1.257, accuracy:0.699
Improved accuracy from 0.70 to 0.6994577438934989!!!
Validation time:
Validation loss:1.266, accuracy:0.697
ep/it:189-   2 niter:  4350  430m 29s (- 2983m 42s) completed: 12%) loss_emb: 0.2363  loss: 1.3597  acc: 0.6809  lr: 0.0002 
Validation time:
Validation loss:1.263, accuracy:0.699
Improved accuracy from 0.70 to 0.699458034142204!!!
--> 	 Eva. Ep 190 :, FID. 63.7229, Diversity Real. 9.6472, Diversity. 1.6227, R_precision_real. [0.50731383 0.68683511 0.78191489], R_precision. [0.06117021 0.12101064 0.18550532], matching_score_real. 2.9174065589904785, matching_score_pred. 8.267821311950684
Validation time:
Validation loss:1.263, accuracy:0.699
ep/it:191-   6 niter:  4400  436m 40s (- 2987m 12s) completed: 12%) loss_emb: 0.2363  loss: 1.3578  acc: 0.6814  lr: 0.0002 
Validation time:
Validation loss:1.245, accuracy:0.703
Improved accuracy from 0.70 to 0.7034433846888335!!!
Validation time:
Validation loss:1.259, accuracy:0.698
ep/it:193-  10 niter:  4450  441m 55s (- 2984m 11s) completed: 12%) loss_emb: 0.2325  loss: 1.3345  acc: 0.6859  lr: 0.0002 
Validation time:
Validation loss:1.248, accuracy:0.699
Validation time:
Validation loss:1.247, accuracy:0.701
--> 	 Eva. Ep 195 :, FID. 63.6934, Diversity Real. 9.1354, Diversity. 1.6368, R_precision_real. [0.5106383  0.69414894 0.78989362], R_precision. [0.07513298 0.14494681 0.21476064], matching_score_real. 2.932791233062744, matching_score_pred. 8.308777809143066
ep/it:195-  14 niter:  4500  448m 4s (- 2987m 10s) completed: 13%) loss_emb: 0.2301  loss: 1.3317  acc: 0.6894  lr: 0.0002 
Validation time:
Validation loss:1.239, accuracy:0.703
Validation time:
Validation loss:1.249, accuracy:0.701
ep/it:197-  18 niter:  4550  453m 18s (- 2983m 54s) completed: 13%) loss_emb: 0.2276  loss: 1.3183  acc: 0.6910  lr: 0.0002 
Validation time:
Validation loss:1.236, accuracy:0.702
Validation time:
Validation loss:1.231, accuracy:0.706
Improved accuracy from 0.70 to 0.705872901107954!!!
ep/it:199-  22 niter:  4600  458m 31s (- 2980m 26s) completed: 13%) loss_emb: 0.2348  loss: 1.3450  acc: 0.6830  lr: 0.0002 
Validation time:
Validation loss:1.215, accuracy:0.708
Improved accuracy from 0.71 to 0.7079553085824718!!!
--> 	 Eva. Ep 200 :, FID. 63.7535, Diversity Real. 9.4190, Diversity. 1.6201, R_precision_real. [0.51396277 0.71010638 0.80119681], R_precision. [0.07712766 0.14095745 0.19946809], matching_score_real. 2.879767656326294, matching_score_pred. 8.317153930664062
Validation time:
Validation loss:1.211, accuracy:0.708
Improved accuracy from 0.71 to 0.7081486841906672!!!
Validation time:
Validation loss:1.209, accuracy:0.710
Improved accuracy from 0.71 to 0.7099150678385859!!!
ep/it:202-   3 niter:  4650  465m 11s (- 2986m 15s) completed: 13%) loss_emb: 0.2301  loss: 1.3108  acc: 0.6897  lr: 0.0002 
Validation time:
Validation loss:1.238, accuracy:0.701
Validation time:
Validation loss:1.208, accuracy:0.707
ep/it:204-   7 niter:  4700  470m 24s (- 2982m 36s) completed: 13%) loss_emb: 0.2290  loss: 1.3174  acc: 0.6900  lr: 0.0002 
Validation time:
Validation loss:1.192, accuracy:0.712
Improved accuracy from 0.71 to 0.7122682773548624!!!
--> 	 Eva. Ep 205 :, FID. 63.9737, Diversity Real. 9.4982, Diversity. 1.5916, R_precision_real. [0.52726064 0.72207447 0.81848404], R_precision. [0.07047872 0.14694149 0.22007979], matching_score_real. 2.893958806991577, matching_score_pred. 8.278630256652832
--> --> 	 Top3 Improved from 0.2188 to 0.2201 !!!
Validation time:
Validation loss:1.198, accuracy:0.711
ep/it:206-  11 niter:  4750  476m 35s (- 2984m 55s) completed: 13%) loss_emb: 0.2280  loss: 1.2998  acc: 0.6921  lr: 0.0002 
Validation time:
Validation loss:1.218, accuracy:0.706
Validation time:
Validation loss:1.220, accuracy:0.707
ep/it:208-  15 niter:  4800  481m 46s (- 2981m 1s) completed: 13%) loss_emb: 0.2258  loss: 1.2907  acc: 0.6946  lr: 0.0002 
Validation time:
Validation loss:1.198, accuracy:0.708
Validation time:
Validation loss:1.202, accuracy:0.709
--> 	 Eva. Ep 210 :, FID. 64.3674, Diversity Real. 9.5822, Diversity. 1.5680, R_precision_real. [0.50132979 0.69880319 0.79388298], R_precision. [0.07380319 0.13630319 0.19082447], matching_score_real. 2.9584591388702393, matching_score_pred. 8.32291316986084
ep/it:210-  19 niter:  4850  487m 58s (- 2983m 10s) completed: 14%) loss_emb: 0.2255  loss: 1.2884  acc: 0.6952  lr: 0.0002 
Validation time:
Validation loss:1.195, accuracy:0.710
Validation time:
Validation loss:1.214, accuracy:0.706
Validation time:
Validation loss:1.178, accuracy:0.716
Improved accuracy from 0.71 to 0.7160325257674508!!!
ep/it:213-   0 niter:  4900  493m 42s (- 2982m 24s) completed: 14%) loss_emb: 0.2224  loss: 1.2681  acc: 0.6987  lr: 0.0002 
Validation time:
Validation loss:1.196, accuracy:0.711
Validation time:
Validation loss:1.189, accuracy:0.710
--> 	 Eva. Ep 215 :, FID. 64.1324, Diversity Real. 9.9280, Diversity. 1.6639, R_precision_real. [0.52593085 0.71143617 0.79388298], R_precision. [0.06183511 0.12832447 0.1981383 ], matching_score_real. 2.9392168521881104, matching_score_pred. 8.307494163513184
ep/it:215-   4 niter:  4950  499m 51s (- 2984m 3s) completed: 14%) loss_emb: 0.2252  loss: 1.2841  acc: 0.6952  lr: 0.0002 
Validation time:
Validation loss:1.171, accuracy:0.715
Validation time:
Validation loss:1.179, accuracy:0.716
ep/it:217-   8 niter:  5000  505m 4s (- 2979m 54s) completed: 14%) loss_emb: 0.2248  loss: 1.2814  acc: 0.6956  lr: 0.0002 
Validation time:
Validation loss:1.162, accuracy:0.717
Improved accuracy from 0.72 to 0.717169041218965!!!
Validation time:
Validation loss:1.173, accuracy:0.713
ep/it:219-  12 niter:  5050  510m 17s (- 2975m 49s) completed: 14%) loss_emb: 0.2255  loss: 1.2803  acc: 0.6958  lr: 0.0002 
Validation time:
Validation loss:1.171, accuracy:0.716
--> 	 Eva. Ep 220 :, FID. 64.5685, Diversity Real. 9.6833, Diversity. 1.5785, R_precision_real. [0.51795213 0.70079787 0.81050532], R_precision. [0.07712766 0.14960106 0.21409574], matching_score_real. 2.9076242446899414, matching_score_pred. 8.262069702148438
Validation time:
Validation loss:1.177, accuracy:0.714
ep/it:221-  16 niter:  5100  516m 25s (- 2977m 0s) completed: 14%) loss_emb: 0.2226  loss: 1.2606  acc: 0.6988  lr: 0.0002 
Validation time:
Validation loss:1.168, accuracy:0.714
Validation time:
Validation loss:1.173, accuracy:0.716
ep/it:223-  20 niter:  5150  521m 39s (- 2972m 54s) completed: 14%) loss_emb: 0.2218  loss: 1.2560  acc: 0.7000  lr: 0.0002 
Validation time:
Validation loss:1.161, accuracy:0.716
Validation time:
Validation loss:1.159, accuracy:0.718
Improved accuracy from 0.72 to 0.7177711388339167!!!
--> 	 Eva. Ep 225 :, FID. 63.9389, Diversity Real. 9.4216, Diversity. 1.6729, R_precision_real. [0.51861702 0.69680851 0.7918883 ], R_precision. [0.07380319 0.14095745 0.20944149], matching_score_real. 2.9305408000946045, matching_score_pred. 8.278459548950195
Validation time:
Validation loss:1.150, accuracy:0.718
Improved accuracy from 0.72 to 0.7181436885958132!!!
ep/it:226-   1 niter:  5200  528m 20s (- 2977m 2s) completed: 15%) loss_emb: 0.2244  loss: 1.2646  acc: 0.6970  lr: 0.0002 
Validation time:
Validation loss:1.159, accuracy:0.718
Validation time:
Validation loss:1.154, accuracy:0.716
ep/it:228-   5 niter:  5250  533m 35s (- 2972m 49s) completed: 15%) loss_emb: 0.2192  loss: 1.2368  acc: 0.7040  lr: 0.0002 
Validation time:
Validation loss:1.145, accuracy:0.720
Improved accuracy from 0.72 to 0.7196895117345063!!!
Validation time:
Validation loss:1.146, accuracy:0.720
Improved accuracy from 0.72 to 0.720113464023756!!!
--> 	 Eva. Ep 230 :, FID. 63.8176, Diversity Real. 9.6227, Diversity. 1.6825, R_precision_real. [0.50930851 0.68882979 0.78789894], R_precision. [0.0724734  0.13763298 0.20212766], matching_score_real. 2.918548822402954, matching_score_pred. 8.269706726074219
ep/it:230-   9 niter:  5300  539m 43s (- 2973m 34s) completed: 15%) loss_emb: 0.2184  loss: 1.2329  acc: 0.7049  lr: 0.0002 
Validation time:
Validation loss:1.118, accuracy:0.723
Improved accuracy from 0.72 to 0.7232128044833308!!!
Validation time:
Validation loss:1.151, accuracy:0.717
ep/it:232-  13 niter:  5350  544m 56s (- 2969m 12s) completed: 15%) loss_emb: 0.2146  loss: 1.2147  acc: 0.7084  lr: 0.0002 
Validation time:
Validation loss:1.144, accuracy:0.717
Validation time:
Validation loss:1.128, accuracy:0.722
ep/it:234-  17 niter:  5400  550m 8s (- 2964m 37s) completed: 15%) loss_emb: 0.2190  loss: 1.2364  acc: 0.7040  lr: 0.0002 
Validation time:
Validation loss:1.129, accuracy:0.724
Improved accuracy from 0.72 to 0.7244296644044959!!!
--> 	 Eva. Ep 235 :, FID. 63.7197, Diversity Real. 9.7387, Diversity. 1.6397, R_precision_real. [0.5212766  0.70478723 0.80385638], R_precision. [0.06449468 0.13364362 0.19547872], matching_score_real. 2.9157192707061768, matching_score_pred. 8.265037536621094
Validation time:
Validation loss:1.128, accuracy:0.722
ep/it:236-  21 niter:  5450  556m 21s (- 2965m 31s) completed: 15%) loss_emb: 0.2188  loss: 1.2390  acc: 0.7043  lr: 0.0002 
Validation time:
Validation loss:1.126, accuracy:0.720
Validation time:
Validation loss:1.120, accuracy:0.724
Validation time:
Validation loss:1.103, accuracy:0.726
Improved accuracy from 0.72 to 0.7260667474373527!!!
ep/it:239-   2 niter:  5500  562m 7s (- 2963m 58s) completed: 15%) loss_emb: 0.2155  loss: 1.2088  acc: 0.7088  lr: 0.0002 
Validation time:
Validation loss:1.107, accuracy:0.728
Improved accuracy from 0.73 to 0.7276311024375584!!!
--> 	 Eva. Ep 240 :, FID. 64.5528, Diversity Real. 9.5289, Diversity. 1.5528, R_precision_real. [0.51196809 0.71875    0.8025266 ], R_precision. [0.05851064 0.125      0.20079787], matching_score_real. 2.897453784942627, matching_score_pred. 8.366120338439941
Validation time:
Validation loss:1.107, accuracy:0.727
ep/it:241-   6 niter:  5550  568m 17s (- 2964m 20s) completed: 16%) loss_emb: 0.2169  loss: 1.2158  acc: 0.7064  lr: 0.0002 
Validation time:
Validation loss:1.121, accuracy:0.721
Validation time:
Validation loss:1.110, accuracy:0.725
ep/it:243-  10 niter:  5600  573m 31s (- 2959m 47s) completed: 16%) loss_emb: 0.2190  loss: 1.2287  acc: 0.7039  lr: 0.0002 
Validation time:
Validation loss:1.114, accuracy:0.725
Validation time:
Validation loss:1.120, accuracy:0.724
--> 	 Eva. Ep 245 :, FID. 64.3807, Diversity Real. 9.7416, Diversity. 1.5902, R_precision_real. [0.5106383  0.68816489 0.7912234 ], R_precision. [0.07646277 0.13430851 0.20478723], matching_score_real. 2.938594341278076, matching_score_pred. 8.262721061706543
ep/it:245-  14 niter:  5650  579m 42s (- 2960m 6s) completed: 16%) loss_emb: 0.2138  loss: 1.1940  acc: 0.7108  lr: 0.0002 
Validation time:
Validation loss:1.136, accuracy:0.720
Validation time:
Validation loss:1.105, accuracy:0.725
ep/it:247-  18 niter:  5700  584m 56s (- 2955m 27s) completed: 16%) loss_emb: 0.2131  loss: 1.1964  acc: 0.7117  lr: 0.0002 
Validation time:
Validation loss:1.093, accuracy:0.727
Validation time:
Validation loss:1.118, accuracy:0.725
ep/it:249-  22 niter:  5750  590m 6s (- 2950m 31s) completed: 16%) loss_emb: 0.2149  loss: 1.2095  acc: 0.7079  lr: 0.0002 
Validation time:
Validation loss:1.099, accuracy:0.726
--> 	 Eva. Ep 250 :, FID. 64.5913, Diversity Real. 9.4768, Diversity. 1.5896, R_precision_real. [0.48670213 0.68816489 0.79055851], R_precision. [0.06848404 0.13763298 0.1974734 ], matching_score_real. 2.9912304878234863, matching_score_pred. 8.281003952026367
Validation time:
Validation loss:1.094, accuracy:0.731
Improved accuracy from 0.73 to 0.7310476562251216!!!
Validation time:
Validation loss:1.089, accuracy:0.730
ep/it:252-   3 niter:  5800  596m 47s (- 2953m 4s) completed: 16%) loss_emb: 0.2119  loss: 1.1872  acc: 0.7131  lr: 0.0002 
Validation time:
Validation loss:1.076, accuracy:0.731
Validation time:
Validation loss:1.081, accuracy:0.729
ep/it:254-   7 niter:  5850  601m 59s (- 2948m 13s) completed: 16%) loss_emb: 0.2137  loss: 1.1924  acc: 0.7108  lr: 0.0002 
Validation time:
Validation loss:1.068, accuracy:0.734
Improved accuracy from 0.73 to 0.7336617319480233!!!
--> 	 Eva. Ep 255 :, FID. 64.4370, Diversity Real. 9.5509, Diversity. 1.5669, R_precision_real. [0.50199468 0.70146277 0.79055851], R_precision. [0.06781915 0.12832447 0.18550532], matching_score_real. 2.9247570037841797, matching_score_pred. 8.318120002746582
Validation time:
Validation loss:1.057, accuracy:0.734
Improved accuracy from 0.73 to 0.7337995767593384!!!
ep/it:256-  11 niter:  5900  608m 11s (- 2948m 9s) completed: 17%) loss_emb: 0.2071  loss: 1.1689  acc: 0.7185  lr: 0.0002 
Validation time:
Validation loss:1.079, accuracy:0.730
Validation time:
Validation loss:1.088, accuracy:0.729
ep/it:258-  15 niter:  5950  613m 23s (- 2943m 14s) completed: 17%) loss_emb: 0.2079  loss: 1.1609  acc: 0.7177  lr: 0.0002 
Validation time:
Validation loss:1.064, accuracy:0.734
Validation time:
Validation loss:1.080, accuracy:0.727
--> 	 Eva. Ep 260 :, FID. 64.4138, Diversity Real. 9.6856, Diversity. 1.6035, R_precision_real. [0.50265957 0.70412234 0.80585106], R_precision. [0.07579787 0.14494681 0.20478723], matching_score_real. 2.883790969848633, matching_score_pred. 8.31479263305664
ep/it:260-  19 niter:  6000  619m 31s (- 2942m 45s) completed: 17%) loss_emb: 0.2112  loss: 1.1789  acc: 0.7141  lr: 0.0002 
Validation time:
Validation loss:1.043, accuracy:0.737
Improved accuracy from 0.73 to 0.7369468263957811!!!
Validation time:
Validation loss:1.054, accuracy:0.735
Validation time:
Validation loss:1.058, accuracy:0.734
ep/it:263-   0 niter:  6050  625m 17s (- 2940m 23s) completed: 17%) loss_emb: 0.2079  loss: 1.1580  acc: 0.7181  lr: 0.0002 
Validation time:
Validation loss:1.035, accuracy:0.738
Improved accuracy from 0.74 to 0.7384728322858396!!!
Validation time:
Validation loss:1.057, accuracy:0.736
--> 	 Eva. Ep 265 :, FID. 64.3402, Diversity Real. 9.7669, Diversity. 1.6123, R_precision_real. [0.5099734  0.69880319 0.79521277], R_precision. [0.07446809 0.1356383  0.19880319], matching_score_real. 2.881080389022827, matching_score_pred. 8.263289451599121
ep/it:265-   4 niter:  6100  631m 27s (- 2939m 52s) completed: 17%) loss_emb: 0.2081  loss: 1.1627  acc: 0.7178  lr: 0.0002 
Validation time:
Validation loss:1.051, accuracy:0.735
Validation time:
Validation loss:1.074, accuracy:0.731
ep/it:267-   8 niter:  6150  636m 38s (- 2934m 47s) completed: 17%) loss_emb: 0.2102  loss: 1.1615  acc: 0.7152  lr: 0.0002 
Validation time:
Validation loss:1.030, accuracy:0.741
Improved accuracy from 0.74 to 0.7409154850503673!!!
Validation time:
Validation loss:1.034, accuracy:0.740
ep/it:269-  12 niter:  6200  641m 51s (- 2929m 47s) completed: 17%) loss_emb: 0.2062  loss: 1.1468  acc: 0.7201  lr: 0.0002 
Validation time:
Validation loss:1.054, accuracy:0.737
--> 	 Eva. Ep 270 :, FID. 64.8088, Diversity Real. 9.5808, Diversity. 1.5698, R_precision_real. [0.50531915 0.7087766  0.80053191], R_precision. [0.07912234 0.13896277 0.20678191], matching_score_real. 2.9017534255981445, matching_score_pred. 8.305437088012695
Validation time:
Validation loss:1.050, accuracy:0.737
ep/it:271-  16 niter:  6250  647m 59s (- 2928m 57s) completed: 18%) loss_emb: 0.2029  loss: 1.1296  acc: 0.7245  lr: 0.0002 
Validation time:
Validation loss:1.058, accuracy:0.736
Validation time:
Validation loss:1.058, accuracy:0.733
ep/it:273-  20 niter:  6300  653m 14s (- 2924m 3s) completed: 18%) loss_emb: 0.2036  loss: 1.1300  acc: 0.7239  lr: 0.0002 
Validation time:
Validation loss:1.051, accuracy:0.736
Validation time:
Validation loss:1.017, accuracy:0.743
Improved accuracy from 0.74 to 0.7432036944057631!!!
--> 	 Eva. Ep 275 :, FID. 65.2385, Diversity Real. 9.6962, Diversity. 1.5720, R_precision_real. [0.51196809 0.69880319 0.7918883 ], R_precision. [0.07380319 0.15226064 0.21675532], matching_score_real. 2.9469308853149414, matching_score_pred. 8.327798843383789
--> --> 	 Top2 Improved from 0.1503 to 0.1523 !!!
Validation time:
Validation loss:1.020, accuracy:0.741
ep/it:276-   1 niter:  6350  659m 58s (- 2925m 41s) completed: 18%) loss_emb: 0.2034  loss: 1.1333  acc: 0.7236  lr: 0.0002 
Validation time:
Validation loss:1.028, accuracy:0.741
Validation time:
Validation loss:1.005, accuracy:0.746
Improved accuracy from 0.74 to 0.7457375189532405!!!
ep/it:278-   5 niter:  6400  665m 11s (- 2920m 34s) completed: 18%) loss_emb: 0.2043  loss: 1.1340  acc: 0.7222  lr: 0.0002 
Validation time:
Validation loss:1.030, accuracy:0.741
Validation time:
Validation loss:1.031, accuracy:0.739
--> 	 Eva. Ep 280 :, FID. 65.5317, Diversity Real. 9.3581, Diversity. 1.5046, R_precision_real. [0.51595745 0.70611702 0.79787234], R_precision. [0.07779255 0.15359043 0.21742021], matching_score_real. 2.918699264526367, matching_score_pred. 8.363587379455566
--> --> 	 Top2 Improved from 0.1523 to 0.1536 !!!
ep/it:280-   9 niter:  6450  671m 20s (- 2919m 31s) completed: 18%) loss_emb: 0.2044  loss: 1.1339  acc: 0.7226  lr: 0.0002 
Validation time:
Validation loss:1.030, accuracy:0.741
Validation time:
Validation loss:1.025, accuracy:0.741
ep/it:282-  13 niter:  6500  676m 32s (- 2914m 18s) completed: 18%) loss_emb: 0.2026  loss: 1.1248  acc: 0.7252  lr: 0.0002 
Validation time:
Validation loss:1.015, accuracy:0.743
Validation time:
Validation loss:0.986, accuracy:0.750
Improved accuracy from 0.75 to 0.7501430874285491!!!
ep/it:284-  17 niter:  6550  681m 47s (- 2909m 19s) completed: 18%) loss_emb: 0.2048  loss: 1.1342  acc: 0.7227  lr: 0.0002 
Validation time:
Validation loss:0.998, accuracy:0.748
--> 	 Eva. Ep 285 :, FID. 64.9775, Diversity Real. 9.8400, Diversity. 1.5914, R_precision_real. [0.5099734 0.6974734 0.8018617], R_precision. [0.0731383  0.13696809 0.20744681], matching_score_real. 2.862091302871704, matching_score_pred. 8.343714714050293
Validation time:
Validation loss:1.030, accuracy:0.739
ep/it:286-  21 niter:  6600  687m 59s (- 2908m 19s) completed: 19%) loss_emb: 0.2044  loss: 1.1232  acc: 0.7226  lr: 0.0002 
Validation time:
Validation loss:1.008, accuracy:0.744
Validation time:
Validation loss:1.013, accuracy:0.746
Validation time:
Validation loss:1.019, accuracy:0.743
ep/it:289-   2 niter:  6650  693m 44s (- 2905m 20s) completed: 19%) loss_emb: 0.2025  loss: 1.1226  acc: 0.7243  lr: 0.0002 
Validation time:
Validation loss:1.018, accuracy:0.742
--> 	 Eva. Ep 290 :, FID. 65.1333, Diversity Real. 9.7965, Diversity. 1.5322, R_precision_real. [0.52726064 0.70478723 0.80585106], R_precision. [0.06648936 0.14295213 0.20478723], matching_score_real. 2.906898021697998, matching_score_pred. 8.334228515625
Validation time:
Validation loss:1.017, accuracy:0.743
ep/it:291-   6 niter:  6700  699m 53s (- 2904m 1s) completed: 19%) loss_emb: 0.2019  loss: 1.1102  acc: 0.7257  lr: 0.0002 
Validation time:
Validation loss:1.008, accuracy:0.744
Validation time:
Validation loss:1.006, accuracy:0.745
ep/it:293-  10 niter:  6750  705m 7s (- 2898m 51s) completed: 19%) loss_emb: 0.2013  loss: 1.1129  acc: 0.7261  lr: 0.0002 
Validation time:
Validation loss:0.992, accuracy:0.747
Validation time:
Validation loss:0.990, accuracy:0.750
--> 	 Eva. Ep 295 :, FID. 65.5110, Diversity Real. 9.6154, Diversity. 1.5152, R_precision_real. [0.50531915 0.70744681 0.79720745], R_precision. [0.07579787 0.14694149 0.2087766 ], matching_score_real. 2.8944621086120605, matching_score_pred. 8.323330879211426
ep/it:295-  14 niter:  6800  711m 17s (- 2897m 26s) completed: 19%) loss_emb: 0.2017  loss: 1.1082  acc: 0.7261  lr: 0.0002 
Validation time:
Validation loss:0.991, accuracy:0.748
Validation time:
Validation loss:0.994, accuracy:0.745
ep/it:297-  18 niter:  6850  716m 32s (- 2892m 19s) completed: 19%) loss_emb: 0.2002  loss: 1.1052  acc: 0.7275  lr: 0.0002 
Validation time:
Validation loss:0.982, accuracy:0.750
Improved accuracy from 0.75 to 0.7502095051433729!!!
Validation time:
Validation loss:1.016, accuracy:0.740
ep/it:299-  22 niter:  6900  721m 43s (- 2886m 55s) completed: 20%) loss_emb: 0.1989  loss: 1.0903  acc: 0.7293  lr: 0.0002 
Validation time:
Validation loss:0.994, accuracy:0.746
--> 	 Eva. Ep 300 :, FID. 65.3390, Diversity Real. 9.4573, Diversity. 1.4987, R_precision_real. [0.5206117  0.71077128 0.8025266 ], R_precision. [0.07513298 0.15026596 0.22207447], matching_score_real. 2.884950637817383, matching_score_pred. 8.317180633544922
--> --> 	 Top3 Improved from 0.2201 to 0.2221 !!!
Validation time:
Validation loss:0.984, accuracy:0.749
Validation time:
Validation loss:0.989, accuracy:0.748
ep/it:302-   3 niter:  6950  728m 24s (- 2887m 26s) completed: 20%) loss_emb: 0.1974  loss: 1.0868  acc: 0.7314  lr: 0.0002 
Validation time:
Validation loss:0.982, accuracy:0.749
Validation time:
Validation loss:0.976, accuracy:0.750
ep/it:304-   7 niter:  7000  733m 38s (- 2882m 10s) completed: 20%) loss_emb: 0.1973  loss: 1.0896  acc: 0.7314  lr: 0.0002 
Validation time:
Validation loss:0.970, accuracy:0.752
Improved accuracy from 0.75 to 0.7516573978507001!!!
--> 	 Eva. Ep 305 :, FID. 65.3990, Diversity Real. 9.4215, Diversity. 1.5200, R_precision_real. [0.49734043 0.69148936 0.7918883 ], R_precision. [0.08178191 0.15226064 0.21742021], matching_score_real. 2.8910505771636963, matching_score_pred. 8.302279472351074
--> --> 	 Top1 Improved from 0.0805 to 0.0818 !!!
Validation time:
Validation loss:0.982, accuracy:0.748
ep/it:306-  11 niter:  7050  739m 52s (- 2880m 49s) completed: 20%) loss_emb: 0.1956  loss: 1.0773  acc: 0.7339  lr: 0.0002 
Validation time:
Validation loss:0.981, accuracy:0.750
Validation time:
Validation loss:0.949, accuracy:0.758
Improved accuracy from 0.75 to 0.7577021018318508!!!
ep/it:308-  15 niter:  7100  745m 4s (- 2875m 22s) completed: 20%) loss_emb: 0.1958  loss: 1.0730  acc: 0.7343  lr: 0.0002 
Validation time:
Validation loss:0.969, accuracy:0.750
Validation time:
Validation loss:0.980, accuracy:0.747
--> 	 Eva. Ep 310 :, FID. 64.9308, Diversity Real. 9.4964, Diversity. 1.5080, R_precision_real. [0.49335106 0.69148936 0.78125   ], R_precision. [0.06382979 0.13896277 0.21542553], matching_score_real. 2.9427661895751953, matching_score_pred. 8.305113792419434
ep/it:310-  19 niter:  7150  751m 16s (- 2873m 43s) completed: 20%) loss_emb: 0.1965  loss: 1.0774  acc: 0.7326  lr: 0.0002 
Validation time:
Validation loss:0.966, accuracy:0.752
Validation time:
Validation loss:0.961, accuracy:0.753
Validation time:
Validation loss:0.961, accuracy:0.753
ep/it:313-   0 niter:  7200  757m 2s (- 2870m 27s) completed: 20%) loss_emb: 0.1957  loss: 1.0658  acc: 0.7340  lr: 0.0002 
Validation time:
Validation loss:0.962, accuracy:0.754
Validation time:
Validation loss:0.959, accuracy:0.754
--> 	 Eva. Ep 315 :, FID. 66.1279, Diversity Real. 9.6234, Diversity. 1.4957, R_precision_real. [0.50930851 0.68949468 0.77726064], R_precision. [0.07646277 0.14361702 0.21143617], matching_score_real. 2.9086050987243652, matching_score_pred. 8.352487564086914
ep/it:315-   4 niter:  7250  763m 11s (- 2868m 34s) completed: 21%) loss_emb: 0.1929  loss: 1.0488  acc: 0.7382  lr: 0.0002 
Validation time:
Validation loss:0.937, accuracy:0.758
Improved accuracy from 0.76 to 0.7578581338343413!!!
Validation time:
Validation loss:0.955, accuracy:0.755
ep/it:317-   8 niter:  7300  768m 25s (- 2863m 11s) completed: 21%) loss_emb: 0.1959  loss: 1.0733  acc: 0.7336  lr: 0.0002 
Validation time:
Validation loss:0.960, accuracy:0.752
Validation time:
Validation loss:0.953, accuracy:0.756
ep/it:319-  12 niter:  7350  773m 37s (- 2857m 39s) completed: 21%) loss_emb: 0.1960  loss: 1.0729  acc: 0.7336  lr: 0.0002 
Validation time:
Validation loss:0.952, accuracy:0.753
--> 	 Eva. Ep 320 :, FID. 65.0717, Diversity Real. 9.5556, Diversity. 1.4878, R_precision_real. [0.50864362 0.70944149 0.79388298], R_precision. [0.07779255 0.15226064 0.22340426], matching_score_real. 2.9179892539978027, matching_score_pred. 8.300621032714844
--> --> 	 Top3 Improved from 0.2221 to 0.2234 !!!
Validation time:
Validation loss:0.965, accuracy:0.751
ep/it:321-  16 niter:  7400  779m 47s (- 2855m 42s) completed: 21%) loss_emb: 0.1939  loss: 1.0603  acc: 0.7368  lr: 0.0002 
Validation time:
Validation loss:0.938, accuracy:0.757
Validation time:
Validation loss:0.958, accuracy:0.753
ep/it:323-  20 niter:  7450  785m 0s (- 2850m 15s) completed: 21%) loss_emb: 0.1922  loss: 1.0497  acc: 0.7382  lr: 0.0002 
Validation time:
Validation loss:0.938, accuracy:0.757
Validation time:
Validation loss:0.952, accuracy:0.754
--> 	 Eva. Ep 325 :, FID. 65.5316, Diversity Real. 9.4723, Diversity. 1.5438, R_precision_real. [0.50066489 0.70345745 0.80585106], R_precision. [0.06981383 0.14162234 0.1974734 ], matching_score_real. 2.904552698135376, matching_score_pred. 8.372703552246094
Validation time:
Validation loss:0.932, accuracy:0.759
Improved accuracy from 0.76 to 0.7585840380710104!!!
ep/it:326-   1 niter:  7500  791m 43s (- 2850m 12s) completed: 21%) loss_emb: 0.1939  loss: 1.0619  acc: 0.7359  lr: 0.0002 
Validation time:
Validation loss:0.938, accuracy:0.759
Improved accuracy from 0.76 to 0.7591883825219196!!!
Validation time:
Validation loss:0.931, accuracy:0.760
Improved accuracy from 0.76 to 0.7604347208271856!!!
ep/it:328-   5 niter:  7550  796m 56s (- 2844m 43s) completed: 21%) loss_emb: 0.1947  loss: 1.0587  acc: 0.7359  lr: 0.0002 
Validation time:
Validation loss:0.925, accuracy:0.759
Validation time:
Validation loss:0.926, accuracy:0.761
Improved accuracy from 0.76 to 0.7605793968490933!!!
--> 	 Eva. Ep 330 :, FID. 65.2489, Diversity Real. 9.4919, Diversity. 1.5518, R_precision_real. [0.52859043 0.71077128 0.79587766], R_precision. [0.07180851 0.1462766  0.2081117 ], matching_score_real. 2.894211530685425, matching_score_pred. 8.316584587097168
ep/it:330-   9 niter:  7600  803m 6s (- 2842m 33s) completed: 22%) loss_emb: 0.1926  loss: 1.0478  acc: 0.7371  lr: 0.0002 
Validation time:
Validation loss:0.929, accuracy:0.761
Improved accuracy from 0.76 to 0.7614887615908748!!!
Validation time:
Validation loss:0.956, accuracy:0.754
ep/it:332-  13 niter:  7650  808m 19s (- 2837m 4s) completed: 22%) loss_emb: 0.1931  loss: 1.0506  acc: 0.7378  lr: 0.0002 
Validation time:
Validation loss:0.945, accuracy:0.753
Validation time:
Validation loss:0.910, accuracy:0.765
Improved accuracy from 0.76 to 0.764654138813848!!!
ep/it:334-  17 niter:  7700  813m 35s (- 2831m 43s) completed: 22%) loss_emb: 0.1912  loss: 1.0402  acc: 0.7396  lr: 0.0002 
Validation time:
Validation loss:0.930, accuracy:0.760
--> 	 Eva. Ep 335 :, FID. 65.4531, Diversity Real. 9.7342, Diversity. 1.5447, R_precision_real. [0.5099734  0.69680851 0.80784574], R_precision. [0.07513298 0.13962766 0.22007979], matching_score_real. 2.8900885581970215, matching_score_pred. 8.311223030090332
Validation time:
Validation loss:0.929, accuracy:0.759
ep/it:336-  21 niter:  7750  819m 49s (- 2829m 41s) completed: 22%) loss_emb: 0.1925  loss: 1.0462  acc: 0.7382  lr: 0.0002 
Validation time:
Validation loss:0.924, accuracy:0.761
Validation time:
Validation loss:0.918, accuracy:0.761
Validation time:
Validation loss:0.911, accuracy:0.762
ep/it:339-   2 niter:  7800  825m 33s (- 2825m 55s) completed: 22%) loss_emb: 0.1909  loss: 1.0357  acc: 0.7405  lr: 0.0002 
Validation time:
Validation loss:0.900, accuracy:0.766
Improved accuracy from 0.76 to 0.7663374465444813!!!
--> 	 Eva. Ep 340 :, FID. 66.0108, Diversity Real. 9.5745, Diversity. 1.5265, R_precision_real. [0.51396277 0.71609043 0.81382979], R_precision. [0.07446809 0.14893617 0.21210106], matching_score_real. 2.8827388286590576, matching_score_pred. 8.366006851196289
Validation time:
Validation loss:0.920, accuracy:0.761
ep/it:341-   6 niter:  7850  831m 43s (- 2823m 38s) completed: 22%) loss_emb: 0.1906  loss: 1.0353  acc: 0.7402  lr: 0.0002 
Validation time:
Validation loss:0.916, accuracy:0.762
Validation time:
Validation loss:0.921, accuracy:0.761
ep/it:343-  10 niter:  7900  836m 55s (- 2818m 0s) completed: 22%) loss_emb: 0.1883  loss: 1.0286  acc: 0.7438  lr: 0.0002 
Validation time:
Validation loss:0.905, accuracy:0.765
Validation time:
Validation loss:0.904, accuracy:0.765
--> 	 Eva. Ep 345 :, FID. 65.7846, Diversity Real. 8.9786, Diversity. 1.5120, R_precision_real. [0.5099734  0.70545213 0.80851064], R_precision. [0.06914894 0.12632979 0.19547872], matching_score_real. 2.8834176063537598, matching_score_pred. 8.327444076538086
ep/it:345-  14 niter:  7950  843m 6s (- 2815m 38s) completed: 23%) loss_emb: 0.1896  loss: 1.0312  acc: 0.7426  lr: 0.0002 
Validation time:
Validation loss:0.922, accuracy:0.761
Validation time:
Validation loss:0.915, accuracy:0.762
ep/it:347-  18 niter:  8000  848m 18s (- 2810m 1s) completed: 23%) loss_emb: 0.1877  loss: 1.0173  acc: 0.7441  lr: 0.0002 
Validation time:
Validation loss:0.898, accuracy:0.765
Validation time:
Validation loss:0.890, accuracy:0.769
Improved accuracy from 0.77 to 0.7693164322687231!!!
ep/it:349-  22 niter:  8050  853m 31s (- 2804m 26s) completed: 23%) loss_emb: 0.1866  loss: 1.0142  acc: 0.7455  lr: 0.0002 
Validation time:
Validation loss:0.922, accuracy:0.760
--> 	 Eva. Ep 350 :, FID. 65.1873, Diversity Real. 9.4533, Diversity. 1.5302, R_precision_real. [0.50930851 0.70478723 0.79321809], R_precision. [0.06848404 0.14361702 0.20146277], matching_score_real. 2.9181435108184814, matching_score_pred. 8.321090698242188
Validation time:
Validation loss:0.906, accuracy:0.764
Validation time:
Validation loss:0.889, accuracy:0.767
ep/it:352-   3 niter:  8100  860m 13s (- 2803m 40s) completed: 23%) loss_emb: 0.1866  loss: 1.0091  acc: 0.7455  lr: 0.0002 
Validation time:
Validation loss:0.898, accuracy:0.765
Validation time:
Validation loss:0.886, accuracy:0.767
ep/it:354-   7 niter:  8150  865m 25s (- 2798m 1s) completed: 23%) loss_emb: 0.1865  loss: 1.0129  acc: 0.7450  lr: 0.0002 
Validation time:
Validation loss:0.903, accuracy:0.764
--> 	 Eva. Ep 355 :, FID. 65.8640, Diversity Real. 9.4280, Diversity. 1.4030, R_precision_real. [0.52792553 0.7081117  0.80518617], R_precision. [0.0731383  0.14095745 0.21010638], matching_score_real. 2.9264087677001953, matching_score_pred. 8.291129112243652
Validation time:
Validation loss:0.896, accuracy:0.767
ep/it:356-  11 niter:  8200  871m 35s (- 2795m 29s) completed: 23%) loss_emb: 0.1887  loss: 1.0229  acc: 0.7438  lr: 0.0002 
Validation time:
Validation loss:0.879, accuracy:0.769
Improved accuracy from 0.77 to 0.7694419130035068!!!
Validation time:
Validation loss:0.889, accuracy:0.768
ep/it:358-  15 niter:  8250  876m 48s (- 2789m 50s) completed: 23%) loss_emb: 0.1857  loss: 1.0016  acc: 0.7474  lr: 0.0002 
Validation time:
Validation loss:0.902, accuracy:0.766
Validation time:
Validation loss:0.876, accuracy:0.770
Improved accuracy from 0.77 to 0.7696614550507587!!!
--> 	 Eva. Ep 360 :, FID. 65.4868, Diversity Real. 9.5818, Diversity. 1.5493, R_precision_real. [0.51994681 0.7087766  0.81117021], R_precision. [0.08045213 0.14029255 0.21542553], matching_score_real. 2.8814258575439453, matching_score_pred. 8.317755699157715
ep/it:360-  19 niter:  8300  883m 0s (- 2787m 19s) completed: 24%) loss_emb: 0.1885  loss: 1.0207  acc: 0.7436  lr: 0.0002 
Validation time:
Validation loss:0.891, accuracy:0.768
Validation time:
Validation loss:0.882, accuracy:0.769
Validation time:
Validation loss:0.882, accuracy:0.769
ep/it:363-   0 niter:  8350  888m 44s (- 2783m 17s) completed: 24%) loss_emb: 0.1877  loss: 1.0169  acc: 0.7448  lr: 0.0002 
Validation time:
Validation loss:0.896, accuracy:0.767
Validation time:
Validation loss:0.879, accuracy:0.771
Improved accuracy from 0.77 to 0.7707106393316517!!!
--> 	 Eva. Ep 365 :, FID. 66.4300, Diversity Real. 9.6617, Diversity. 1.4822, R_precision_real. [0.51928191 0.70079787 0.79454787], R_precision. [0.07712766 0.14694149 0.21210106], matching_score_real. 2.9449150562286377, matching_score_pred. 8.367300033569336
ep/it:365-   4 niter:  8400  894m 54s (- 2780m 36s) completed: 24%) loss_emb: 0.1885  loss: 1.0187  acc: 0.7428  lr: 0.0002 
Validation time:
Validation loss:0.887, accuracy:0.767
Validation time:
Validation loss:0.883, accuracy:0.767
ep/it:367-   8 niter:  8450  900m 6s (- 2774m 54s) completed: 24%) loss_emb: 0.1837  loss: 0.9883  acc: 0.7491  lr: 0.0002 
Validation time:
Validation loss:0.855, accuracy:0.776
Improved accuracy from 0.77 to 0.7757422742636307!!!
Validation time:
Validation loss:0.874, accuracy:0.770
ep/it:369-  12 niter:  8500  905m 21s (- 2769m 19s) completed: 24%) loss_emb: 0.1831  loss: 0.9855  acc: 0.7498  lr: 0.0002 
Validation time:
Validation loss:0.867, accuracy:0.773
--> 	 Eva. Ep 370 :, FID. 65.9040, Diversity Real. 9.5249, Diversity. 1.5379, R_precision_real. [0.52194149 0.69215426 0.79255319], R_precision. [0.07779255 0.14428191 0.21343085], matching_score_real. 2.8873679637908936, matching_score_pred. 8.322751998901367
Validation time:
Validation loss:0.858, accuracy:0.776
Improved accuracy from 0.78 to 0.7760347387065059!!!
ep/it:371-  16 niter:  8550  911m 32s (- 2766m 36s) completed: 24%) loss_emb: 0.1849  loss: 1.0000  acc: 0.7479  lr: 0.0002 
Validation time:
Validation loss:0.878, accuracy:0.769
Validation time:
Validation loss:0.871, accuracy:0.772
ep/it:373-  20 niter:  8600  916m 46s (- 2761m 0s) completed: 24%) loss_emb: 0.1833  loss: 0.9941  acc: 0.7495  lr: 0.0002 
Validation time:
Validation loss:0.856, accuracy:0.776
Validation time:
Validation loss:0.894, accuracy:0.766
--> 	 Eva. Ep 375 :, FID. 65.3203, Diversity Real. 9.6059, Diversity. 1.4964, R_precision_real. [0.51861702 0.70478723 0.80851064], R_precision. [0.07047872 0.14162234 0.20013298], matching_score_real. 2.866788148880005, matching_score_pred. 8.323023796081543
Validation time:
Validation loss:0.865, accuracy:0.775
ep/it:376-   1 niter:  8650  923m 28s (- 2759m 44s) completed: 25%) loss_emb: 0.1835  loss: 0.9881  acc: 0.7498  lr: 0.0002 
Validation time:
Validation loss:0.883, accuracy:0.768
Validation time:
Validation loss:0.842, accuracy:0.777
Improved accuracy from 0.78 to 0.7774235787598983!!!
ep/it:378-   5 niter:  8700  928m 42s (- 2754m 4s) completed: 25%) loss_emb: 0.1831  loss: 0.9908  acc: 0.7506  lr: 0.0002 
Validation time:
Validation loss:0.859, accuracy:0.775
Validation time:
Validation loss:0.877, accuracy:0.767
--> 	 Eva. Ep 380 :, FID. 65.5577, Diversity Real. 9.7240, Diversity. 1.5512, R_precision_real. [0.51130319 0.70611702 0.79654255], R_precision. [0.07180851 0.13763298 0.19680851], matching_score_real. 2.90898060798645, matching_score_pred. 8.372628211975098
ep/it:380-   9 niter:  8750  934m 54s (- 2751m 17s) completed: 25%) loss_emb: 0.1828  loss: 0.9828  acc: 0.7507  lr: 0.0002 
Validation time:
Validation loss:0.863, accuracy:0.771
Validation time:
Validation loss:0.854, accuracy:0.775
ep/it:382-  13 niter:  8800  940m 6s (- 2745m 33s) completed: 25%) loss_emb: 0.1807  loss: 0.9672  acc: 0.7542  lr: 0.0002 
Validation time:
Validation loss:0.857, accuracy:0.776
Validation time:
Validation loss:0.858, accuracy:0.776
ep/it:384-  17 niter:  8850  945m 22s (- 2739m 58s) completed: 25%) loss_emb: 0.1815  loss: 0.9781  acc: 0.7522  lr: 0.0002 
Validation time:
Validation loss:0.864, accuracy:0.772
--> 	 Eva. Ep 385 :, FID. 65.2295, Diversity Real. 9.6534, Diversity. 1.5431, R_precision_real. [0.50199468 0.69946809 0.79388298], R_precision. [0.0731383  0.1456117  0.20611702], matching_score_real. 2.938124895095825, matching_score_pred. 8.337096214294434
Validation time:
Validation loss:0.841, accuracy:0.778
Improved accuracy from 0.78 to 0.7778173918309419!!!
ep/it:386-  21 niter:  8900  951m 32s (- 2736m 59s) completed: 25%) loss_emb: 0.1791  loss: 0.9592  acc: 0.7557  lr: 0.0002 
Validation time:
Validation loss:0.839, accuracy:0.779
Improved accuracy from 0.78 to 0.7793843927590743!!!
Validation time:
Validation loss:0.852, accuracy:0.774
Validation time:
Validation loss:0.843, accuracy:0.777
ep/it:389-   2 niter:  8950  957m 18s (- 2732m 53s) completed: 25%) loss_emb: 0.1825  loss: 0.9862  acc: 0.7510  lr: 0.0002 
Validation time:
Validation loss:0.847, accuracy:0.775
--> 	 Eva. Ep 390 :, FID. 65.9504, Diversity Real. 9.5729, Diversity. 1.5054, R_precision_real. [0.51130319 0.70611702 0.8025266 ], R_precision. [0.06848404 0.14295213 0.20146277], matching_score_real. 2.915837049484253, matching_score_pred. 8.349818229675293
Validation time:
Validation loss:0.845, accuracy:0.777
ep/it:391-   6 niter:  9000  963m 30s (- 2729m 55s) completed: 26%) loss_emb: 0.1788  loss: 0.9553  acc: 0.7561  lr: 0.0002 
Validation time:
Validation loss:0.845, accuracy:0.779
Validation time:
Validation loss:0.860, accuracy:0.772
ep/it:393-  10 niter:  9050  968m 43s (- 2724m 12s) completed: 26%) loss_emb: 0.1817  loss: 0.9760  acc: 0.7524  lr: 0.0002 
Validation time:
Validation loss:0.846, accuracy:0.775
Validation time:
Validation loss:0.845, accuracy:0.777
--> 	 Eva. Ep 395 :, FID. 65.6423, Diversity Real. 9.4111, Diversity. 1.5139, R_precision_real. [0.50864362 0.6974734  0.8125    ], R_precision. [0.07646277 0.13430851 0.21343085], matching_score_real. 2.9058849811553955, matching_score_pred. 8.319162368774414
ep/it:395-  14 niter:  9100  974m 55s (- 2721m 13s) completed: 26%) loss_emb: 0.1784  loss: 0.9582  acc: 0.7564  lr: 0.0002 
Validation time:
Validation loss:0.852, accuracy:0.775
Validation time:
Validation loss:0.858, accuracy:0.771
ep/it:397-  18 niter:  9150  980m 10s (- 2715m 34s) completed: 26%) loss_emb: 0.1802  loss: 0.9645  acc: 0.7536  lr: 0.0002 
Validation time:
Validation loss:0.851, accuracy:0.776
Validation time:
Validation loss:0.846, accuracy:0.777
ep/it:399-  22 niter:  9200  985m 26s (- 2709m 56s) completed: 26%) loss_emb: 0.1815  loss: 0.9746  acc: 0.7528  lr: 0.0002 
Validation time:
Validation loss:0.842, accuracy:0.777
--> 	 Eva. Ep 400 :, FID. 65.8358, Diversity Real. 9.4818, Diversity. 1.4719, R_precision_real. [0.51994681 0.70212766 0.79787234], R_precision. [0.07779255 0.14361702 0.21542553], matching_score_real. 2.8932647705078125, matching_score_pred. 8.301851272583008
Validation time:
Validation loss:0.833, accuracy:0.781
Improved accuracy from 0.78 to 0.7808050280031951!!!
Validation time:
Validation loss:0.837, accuracy:0.778
ep/it:402-   3 niter:  9250  992m 8s (- 2708m 15s) completed: 26%) loss_emb: 0.1773  loss: 0.9476  acc: 0.7584  lr: 0.0002 
Validation time:
Validation loss:0.837, accuracy:0.776
Validation time:
Validation loss:0.844, accuracy:0.776
ep/it:404-   7 niter:  9300  997m 20s (- 2702m 28s) completed: 26%) loss_emb: 0.1773  loss: 0.9511  acc: 0.7586  lr: 0.0002 
Validation time:
Validation loss:0.832, accuracy:0.780
--> 	 Eva. Ep 405 :, FID. 65.9555, Diversity Real. 9.5394, Diversity. 1.5043, R_precision_real. [0.53390957 0.72140957 0.8125    ], R_precision. [0.06582447 0.13962766 0.20545213], matching_score_real. 2.9022743701934814, matching_score_pred. 8.3701810836792
Validation time:
Validation loss:0.816, accuracy:0.783
Improved accuracy from 0.78 to 0.7831502427225527!!!
ep/it:406-  11 niter:  9350  1003m 32s (- 2699m 23s) completed: 27%) loss_emb: 0.1783  loss: 0.9545  acc: 0.7570  lr: 0.0002 
Validation time:
Validation loss:0.832, accuracy:0.779
Validation time:
Validation loss:0.827, accuracy:0.781
ep/it:408-  15 niter:  9400  1008m 47s (- 2693m 41s) completed: 27%) loss_emb: 0.1764  loss: 0.9519  acc: 0.7591  lr: 0.0002 
Validation time:
Validation loss:0.812, accuracy:0.783
Validation time:
Validation loss:0.812, accuracy:0.783
Improved accuracy from 0.78 to 0.7834625503291255!!!
--> 	 Eva. Ep 410 :, FID. 65.3417, Diversity Real. 9.5768, Diversity. 1.5305, R_precision_real. [0.51196809 0.70013298 0.81382979], R_precision. [0.06781915 0.12832447 0.19015957], matching_score_real. 2.8817038536071777, matching_score_pred. 8.333782196044922
ep/it:410-  19 niter:  9450  1014m 56s (- 2690m 23s) completed: 27%) loss_emb: 0.1780  loss: 0.9511  acc: 0.7571  lr: 0.0002 
Validation time:
Validation loss:0.840, accuracy:0.779
Validation time:
Validation loss:0.817, accuracy:0.783
Validation time:
Validation loss:0.816, accuracy:0.784
Improved accuracy from 0.78 to 0.7841228583584661!!!
ep/it:413-   0 niter:  9500  1020m 40s (- 2685m 57s) completed: 27%) loss_emb: 0.1783  loss: 0.9572  acc: 0.7570  lr: 0.0002 
Validation time:
Validation loss:0.820, accuracy:0.782
Validation time:
Validation loss:0.823, accuracy:0.782
--> 	 Eva. Ep 415 :, FID. 66.0133, Diversity Real. 9.6175, Diversity. 1.5268, R_precision_real. [0.51795213 0.69614362 0.78324468], R_precision. [0.06848404 0.13896277 0.20944149], matching_score_real. 2.942373752593994, matching_score_pred. 8.353187561035156
ep/it:415-   4 niter:  9550  1026m 51s (- 2682m 43s) completed: 27%) loss_emb: 0.1751  loss: 0.9379  acc: 0.7609  lr: 0.0002 
Validation time:
Validation loss:0.818, accuracy:0.782
Validation time:
Validation loss:0.825, accuracy:0.782
ep/it:417-   8 niter:  9600  1032m 2s (- 2676m 51s) completed: 27%) loss_emb: 0.1750  loss: 0.9306  acc: 0.7611  lr: 0.0002 
Validation time:
Validation loss:0.815, accuracy:0.784
Validation time:
Validation loss:0.812, accuracy:0.783
ep/it:419-  12 niter:  9650  1037m 17s (- 2671m 8s) completed: 27%) loss_emb: 0.1771  loss: 0.9491  acc: 0.7588  lr: 0.0002 
Validation time:
Validation loss:0.799, accuracy:0.786
Improved accuracy from 0.78 to 0.7858137358789858!!!
--> 	 Eva. Ep 420 :, FID. 66.0575, Diversity Real. 9.3452, Diversity. 1.4406, R_precision_real. [0.51263298 0.70478723 0.80518617], R_precision. [0.08444149 0.14095745 0.19946809], matching_score_real. 2.911612033843994, matching_score_pred. 8.367410659790039
--> --> 	 Top1 Improved from 0.0818 to 0.0844 !!!
Validation time:
Validation loss:0.822, accuracy:0.782
ep/it:421-  16 niter:  9700  1043m 23s (- 2667m 38s) completed: 28%) loss_emb: 0.1776  loss: 0.9504  acc: 0.7575  lr: 0.0002 
Validation time:
Validation loss:0.815, accuracy:0.783
Validation time:
Validation loss:0.802, accuracy:0.786
Improved accuracy from 0.79 to 0.7860682814017587!!!
ep/it:423-  20 niter:  9750  1048m 37s (- 2661m 52s) completed: 28%) loss_emb: 0.1745  loss: 0.9319  acc: 0.7623  lr: 0.0002 
Validation time:
Validation loss:0.803, accuracy:0.785
Validation time:
Validation loss:0.811, accuracy:0.784
--> 	 Eva. Ep 425 :, FID. 66.1475, Diversity Real. 9.5047, Diversity. 1.4577, R_precision_real. [0.50664894 0.71675532 0.80851064], R_precision. [0.07779255 0.1456117  0.21143617], matching_score_real. 2.8992903232574463, matching_score_pred. 8.344805717468262
Validation time:
Validation loss:0.810, accuracy:0.783
ep/it:426-   1 niter:  9800  1055m 16s (- 2659m 42s) completed: 28%) loss_emb: 0.1751  loss: 0.9388  acc: 0.7607  lr: 0.0002 
Validation time:
Validation loss:0.816, accuracy:0.782
Validation time:
Validation loss:0.799, accuracy:0.788
Improved accuracy from 0.79 to 0.7875103121218474!!!
ep/it:428-   5 niter:  9850  1060m 29s (- 2653m 56s) completed: 28%) loss_emb: 0.1737  loss: 0.9277  acc: 0.7627  lr: 0.0002 
Validation time:
Validation loss:0.799, accuracy:0.787
Validation time:
Validation loss:0.788, accuracy:0.788
Improved accuracy from 0.79 to 0.7878391328065292!!!
--> 	 Eva. Ep 430 :, FID. 66.1674, Diversity Real. 9.9442, Diversity. 1.4515, R_precision_real. [0.5206117  0.71409574 0.80851064], R_precision. [0.07912234 0.15558511 0.22140957], matching_score_real. 2.8499279022216797, matching_score_pred. 8.345501899719238
--> --> 	 Top2 Improved from 0.1536 to 0.1556 !!!
ep/it:430-   9 niter:  9900  1066m 41s (- 2650m 33s) completed: 28%) loss_emb: 0.1732  loss: 0.9186  acc: 0.7627  lr: 0.0002 
Validation time:
Validation loss:0.796, accuracy:0.787
Validation time:
Validation loss:0.805, accuracy:0.786
ep/it:432-  13 niter:  9950  1071m 57s (- 2644m 53s) completed: 28%) loss_emb: 0.1735  loss: 0.9231  acc: 0.7630  lr: 0.0002 
Validation time:
Validation loss:0.797, accuracy:0.787
Validation time:
Validation loss:0.779, accuracy:0.791
Improved accuracy from 0.79 to 0.7907703285631926!!!
ep/it:434-  17 niter: 10000  1077m 12s (- 2639m 10s) completed: 28%) loss_emb: 0.1729  loss: 0.9251  acc: 0.7642  lr: 0.0002 
Validation time:
Validation loss:0.793, accuracy:0.790
--> 	 Eva. Ep 435 :, FID. 66.3752, Diversity Real. 9.5474, Diversity. 1.4178, R_precision_real. [0.50398936 0.7081117  0.81316489], R_precision. [0.07513298 0.1462766  0.2081117 ], matching_score_real. 2.915672540664673, matching_score_pred. 8.364517211914062
Validation time:
Validation loss:0.812, accuracy:0.784
ep/it:436-  21 niter: 10050  1083m 26s (- 2635m 50s) completed: 29%) loss_emb: 0.1737  loss: 0.9232  acc: 0.7632  lr: 0.0002 
Validation time:
Validation loss:0.818, accuracy:0.782
Validation time:
Validation loss:0.793, accuracy:0.789
Validation time:
Validation loss:0.792, accuracy:0.788
ep/it:439-   2 niter: 10100  1089m 13s (- 2631m 23s) completed: 29%) loss_emb: 0.1720  loss: 0.9202  acc: 0.7646  lr: 0.0002 
Validation time:
Validation loss:0.790, accuracy:0.789
--> 	 Eva. Ep 440 :, FID. 66.1812, Diversity Real. 9.5406, Diversity. 1.5012, R_precision_real. [0.52526596 0.71542553 0.80518617], R_precision. [0.0724734  0.14095745 0.21476064], matching_score_real. 2.9063470363616943, matching_score_pred. 8.380297660827637
Validation time:
Validation loss:0.791, accuracy:0.790
ep/it:441-   6 niter: 10150  1095m 27s (- 2628m 2s) completed: 29%) loss_emb: 0.1751  loss: 0.9299  acc: 0.7612  lr: 0.0002 
Validation time:
Validation loss:0.801, accuracy:0.786
Validation time:
Validation loss:0.799, accuracy:0.785
ep/it:443-  10 niter: 10200  1100m 41s (- 2622m 14s) completed: 29%) loss_emb: 0.1721  loss: 0.9183  acc: 0.7643  lr: 0.0002 
Validation time:
Validation loss:0.791, accuracy:0.788
Validation time:
Validation loss:0.786, accuracy:0.790
--> 	 Eva. Ep 445 :, FID. 65.9552, Diversity Real. 9.2634, Diversity. 1.4750, R_precision_real. [0.51861702 0.6981383  0.79321809], R_precision. [0.07513298 0.14095745 0.21542553], matching_score_real. 2.9396002292633057, matching_score_pred. 8.320929527282715
ep/it:445-  14 niter: 10250  1106m 51s (- 2618m 41s) completed: 29%) loss_emb: 0.1721  loss: 0.9189  acc: 0.7648  lr: 0.0002 
Validation time:
Validation loss:0.784, accuracy:0.792
Improved accuracy from 0.79 to 0.791798130325649!!!
Validation time:
Validation loss:0.792, accuracy:0.788
ep/it:447-  18 niter: 10300  1112m 5s (- 2612m 51s) completed: 29%) loss_emb: 0.1724  loss: 0.9212  acc: 0.7646  lr: 0.0002 
Validation time:
Validation loss:0.767, accuracy:0.795
Improved accuracy from 0.79 to 0.7945321228193201!!!
Validation time:
Validation loss:0.785, accuracy:0.789
ep/it:449-  22 niter: 10350  1117m 16s (- 2606m 57s) completed: 30%) loss_emb: 0.1706  loss: 0.9077  acc: 0.7666  lr: 0.0002 
Validation time:
Validation loss:0.786, accuracy:0.791
--> 	 Eva. Ep 450 :, FID. 66.1026, Diversity Real. 9.7371, Diversity. 1.5477, R_precision_real. [0.49534574 0.7081117  0.7918883 ], R_precision. [0.08444149 0.14960106 0.21542553], matching_score_real. 2.9146134853363037, matching_score_pred. 8.319169998168945
Validation time:
Validation loss:0.794, accuracy:0.786
Validation time:
Validation loss:0.780, accuracy:0.790
ep/it:452-   3 niter: 10400  1123m 57s (- 2604m 32s) completed: 30%) loss_emb: 0.1709  loss: 0.9122  acc: 0.7663  lr: 0.0002 
Validation time:
Validation loss:0.767, accuracy:0.793
Validation time:
Validation loss:0.786, accuracy:0.790
ep/it:454-   7 niter: 10450  1129m 11s (- 2598m 46s) completed: 30%) loss_emb: 0.1709  loss: 0.9073  acc: 0.7670  lr: 0.0002 
Validation time:
Validation loss:0.775, accuracy:0.792
--> 	 Eva. Ep 455 :, FID. 66.0230, Diversity Real. 9.3802, Diversity. 1.4527, R_precision_real. [0.50930851 0.70678191 0.7912234 ], R_precision. [0.0724734  0.1462766  0.21276596], matching_score_real. 2.9394638538360596, matching_score_pred. 8.348518371582031
Validation time:
Validation loss:0.784, accuracy:0.789
ep/it:456-  11 niter: 10500  1135m 20s (- 2595m 4s) completed: 30%) loss_emb: 0.1728  loss: 0.9179  acc: 0.7636  lr: 0.0002 
Validation time:
Validation loss:0.778, accuracy:0.793
Validation time:
Validation loss:0.785, accuracy:0.788
ep/it:458-  15 niter: 10550  1140m 35s (- 2589m 18s) completed: 30%) loss_emb: 0.1715  loss: 0.9116  acc: 0.7658  lr: 0.0002 
Validation time:
Validation loss:0.776, accuracy:0.793
Validation time:
Validation loss:0.770, accuracy:0.792
--> 	 Eva. Ep 460 :, FID. 66.4045, Diversity Real. 9.6195, Diversity. 1.5027, R_precision_real. [0.51595745 0.71542553 0.80319149], R_precision. [0.07513298 0.14295213 0.20345745], matching_score_real. 2.906008720397949, matching_score_pred. 8.32543659210205
ep/it:460-  19 niter: 10600  1146m 44s (- 2585m 33s) completed: 30%) loss_emb: 0.1683  loss: 0.8943  acc: 0.7695  lr: 0.0002 
Validation time:
Validation loss:0.774, accuracy:0.790
Validation time:
Validation loss:0.794, accuracy:0.788
Validation time:
Validation loss:0.760, accuracy:0.794
ep/it:463-   0 niter: 10650  1152m 27s (- 2580m 51s) completed: 30%) loss_emb: 0.1674  loss: 0.8927  acc: 0.7703  lr: 0.0002 
Validation time:
Validation loss:0.759, accuracy:0.796
Improved accuracy from 0.79 to 0.7957712489625682!!!
Validation time:
Validation loss:0.765, accuracy:0.795
--> 	 Eva. Ep 465 :, FID. 66.3274, Diversity Real. 9.3967, Diversity. 1.5152, R_precision_real. [0.50797872 0.69946809 0.80319149], R_precision. [0.0731383  0.14095745 0.21941489], matching_score_real. 2.8805558681488037, matching_score_pred. 8.353830337524414
ep/it:465-   4 niter: 10700  1158m 38s (- 2577m 10s) completed: 31%) loss_emb: 0.1699  loss: 0.8966  acc: 0.7677  lr: 0.0002 
Validation time:
Validation loss:0.765, accuracy:0.794
Validation time:
Validation loss:0.778, accuracy:0.793
ep/it:467-   8 niter: 10750  1163m 49s (- 2571m 14s) completed: 31%) loss_emb: 0.1713  loss: 0.9118  acc: 0.7657  lr: 0.0002 
Validation time:
Validation loss:0.770, accuracy:0.793
Validation time:
Validation loss:0.767, accuracy:0.793
ep/it:469-  12 niter: 10800  1169m 3s (- 2565m 25s) completed: 31%) loss_emb: 0.1701  loss: 0.9028  acc: 0.7671  lr: 0.0002 
Validation time:
Validation loss:0.774, accuracy:0.793
--> 	 Eva. Ep 470 :, FID. 66.4377, Diversity Real. 9.4298, Diversity. 1.4681, R_precision_real. [0.51329787 0.6981383  0.80518617], R_precision. [0.07646277 0.13696809 0.20146277], matching_score_real. 2.893409490585327, matching_score_pred. 8.340372085571289
Validation time:
Validation loss:0.751, accuracy:0.797
Improved accuracy from 0.80 to 0.7972763880439426!!!
ep/it:471-  16 niter: 10850  1175m 13s (- 2561m 39s) completed: 31%) loss_emb: 0.1674  loss: 0.8885  acc: 0.7706  lr: 0.0002 
Validation time:
Validation loss:0.762, accuracy:0.797
Improved accuracy from 0.80 to 0.7974447115607883!!!
Validation time:
Validation loss:0.770, accuracy:0.793
ep/it:473-  20 niter: 10900  1180m 25s (- 2555m 47s) completed: 31%) loss_emb: 0.1659  loss: 0.8790  acc: 0.7733  lr: 0.0002 
Validation time:
Validation loss:0.769, accuracy:0.793
Validation time:
Validation loss:0.751, accuracy:0.799
Improved accuracy from 0.80 to 0.7993524644685828!!!
--> 	 Eva. Ep 475 :, FID. 66.3999, Diversity Real. 9.6329, Diversity. 1.4724, R_precision_real. [0.51196809 0.70279255 0.78989362], R_precision. [0.06914894 0.13164894 0.20345745], matching_score_real. 2.935837984085083, matching_score_pred. 8.318222999572754
Validation time:
Validation loss:0.752, accuracy:0.797
ep/it:476-   1 niter: 10950  1187m 5s (- 2553m 3s) completed: 31%) loss_emb: 0.1651  loss: 0.8776  acc: 0.7737  lr: 0.0002 
Validation time:
Validation loss:0.755, accuracy:0.798
Validation time:
Validation loss:0.760, accuracy:0.795
ep/it:478-   5 niter: 11000  1192m 18s (- 2547m 12s) completed: 31%) loss_emb: 0.1681  loss: 0.8979  acc: 0.7697  lr: 0.0002 
Validation time:
Validation loss:0.760, accuracy:0.796
Validation time:
Validation loss:0.734, accuracy:0.799
--> 	 Eva. Ep 480 :, FID. 66.2148, Diversity Real. 9.4894, Diversity. 1.4297, R_precision_real. [0.51861702 0.69481383 0.78922872], R_precision. [0.07380319 0.14295213 0.21143617], matching_score_real. 2.9407591819763184, matching_score_pred. 8.359648704528809
ep/it:480-   9 niter: 11050  1198m 28s (- 2543m 23s) completed: 32%) loss_emb: 0.1650  loss: 0.8786  acc: 0.7743  lr: 0.0002 
Validation time:
Validation loss:0.748, accuracy:0.795
Validation time:
Validation loss:0.752, accuracy:0.797
ep/it:482-  13 niter: 11100  1203m 42s (- 2537m 33s) completed: 32%) loss_emb: 0.1688  loss: 0.8944  acc: 0.7680  lr: 0.0002 
Validation time:
Validation loss:0.751, accuracy:0.797
Validation time:
Validation loss:0.767, accuracy:0.794
ep/it:484-  17 niter: 11150  1208m 55s (- 2531m 42s) completed: 32%) loss_emb: 0.1683  loss: 0.8897  acc: 0.7698  lr: 0.0002 
Validation time:
Validation loss:0.757, accuracy:0.794
--> 	 Eva. Ep 485 :, FID. 66.1694, Diversity Real. 9.6340, Diversity. 1.4382, R_precision_real. [0.51928191 0.69614362 0.79720745], R_precision. [0.06981383 0.14029255 0.20345745], matching_score_real. 2.884777307510376, matching_score_pred. 8.330811500549316
Validation time:
Validation loss:0.750, accuracy:0.796
ep/it:486-  21 niter: 11200  1215m 7s (- 2527m 52s) completed: 32%) loss_emb: 0.1661  loss: 0.8742  acc: 0.7727  lr: 0.0002 
Validation time:
Validation loss:0.750, accuracy:0.796
Validation time:
Validation loss:0.756, accuracy:0.796
Validation time:
Validation loss:0.744, accuracy:0.798
ep/it:489-   2 niter: 11250  1220m 51s (- 2523m 7s) completed: 32%) loss_emb: 0.1663  loss: 0.8832  acc: 0.7723  lr: 0.0002 
Validation time:
Validation loss:0.733, accuracy:0.800
Improved accuracy from 0.80 to 0.8004415138908054!!!
--> 	 Eva. Ep 490 :, FID. 66.4864, Diversity Real. 9.3754, Diversity. 1.5059, R_precision_real. [0.50664894 0.70611702 0.80585106], R_precision. [0.07513298 0.14162234 0.20212766], matching_score_real. 2.8929197788238525, matching_score_pred. 8.347379684448242
Validation time:
Validation loss:0.740, accuracy:0.802
Improved accuracy from 0.80 to 0.8021503971970599!!!
ep/it:491-   6 niter: 11300  1227m 1s (- 2519m 12s) completed: 32%) loss_emb: 0.1657  loss: 0.8834  acc: 0.7733  lr: 0.0002 
Validation time:
Validation loss:0.752, accuracy:0.798
Validation time:
Validation loss:0.741, accuracy:0.801
ep/it:493-  10 niter: 11350  1232m 15s (- 2513m 21s) completed: 32%) loss_emb: 0.1667  loss: 0.8812  acc: 0.7723  lr: 0.0002 
Validation time:
Validation loss:0.737, accuracy:0.801
Validation time:
Validation loss:0.752, accuracy:0.796
--> 	 Eva. Ep 495 :, FID. 66.3137, Diversity Real. 9.5768, Diversity. 1.4599, R_precision_real. [0.51795213 0.70545213 0.80319149], R_precision. [0.07380319 0.14162234 0.20079787], matching_score_real. 2.873831272125244, matching_score_pred. 8.355202674865723
ep/it:495-  14 niter: 11400  1238m 28s (- 2509m 31s) completed: 33%) loss_emb: 0.1661  loss: 0.8819  acc: 0.7730  lr: 0.0002 
Validation time:
Validation loss:0.740, accuracy:0.801
Validation time:
Validation loss:0.732, accuracy:0.801
ep/it:497-  18 niter: 11450  1243m 40s (- 2503m 38s) completed: 33%) loss_emb: 0.1643  loss: 0.8713  acc: 0.7749  lr: 0.0002 
Validation time:
Validation loss:0.730, accuracy:0.801
Validation time:
Validation loss:0.713, accuracy:0.807
Improved accuracy from 0.80 to 0.8072741757268491!!!
ep/it:499-  22 niter: 11500  1248m 55s (- 2497m 50s) completed: 33%) loss_emb: 0.1645  loss: 0.8747  acc: 0.7740  lr: 0.0002 
Validation time:
Validation loss:0.749, accuracy:0.795
--> 	 Eva. Ep 500 :, FID. 66.3573, Diversity Real. 9.2883, Diversity. 1.4159, R_precision_real. [0.51529255 0.6981383  0.7918883 ], R_precision. [0.07779255 0.14095745 0.21343085], matching_score_real. 2.894582986831665, matching_score_pred. 8.375078201293945
Validation time:
Validation loss:0.744, accuracy:0.798
Validation time:
Validation loss:0.722, accuracy:0.802
ep/it:502-   3 niter: 11550  1255m 35s (- 2494m 53s) completed: 33%) loss_emb: 0.1643  loss: 0.8754  acc: 0.7746  lr: 0.0002 
Validation time:
Validation loss:0.725, accuracy:0.803
Validation time:
Validation loss:0.743, accuracy:0.800
ep/it:504-   7 niter: 11600  1260m 49s (- 2489m 2s) completed: 33%) loss_emb: 0.1658  loss: 0.8741  acc: 0.7729  lr: 0.0002 
Validation time:
Validation loss:0.738, accuracy:0.801
--> 	 Eva. Ep 505 :, FID. 66.4720, Diversity Real. 9.5452, Diversity. 1.5321, R_precision_real. [0.50664894 0.70013298 0.80319149], R_precision. [0.06715426 0.1356383  0.2087766 ], matching_score_real. 2.912609100341797, matching_score_pred. 8.321282386779785
Validation time:
Validation loss:0.720, accuracy:0.805
ep/it:506-  11 niter: 11650  1266m 59s (- 2485m 3s) completed: 33%) loss_emb: 0.1628  loss: 0.8590  acc: 0.7771  lr: 0.0002 
Validation time:
Validation loss:0.722, accuracy:0.805
Validation time:
Validation loss:0.718, accuracy:0.804
ep/it:508-  15 niter: 11700  1272m 12s (- 2479m 11s) completed: 33%) loss_emb: 0.1634  loss: 0.8640  acc: 0.7764  lr: 0.0002 
Validation time:
Validation loss:0.736, accuracy:0.801
Validation time:
Validation loss:0.715, accuracy:0.804
--> 	 Eva. Ep 510 :, FID. 66.4423, Diversity Real. 9.3889, Diversity. 1.4652, R_precision_real. [0.50598404 0.69547872 0.79986702], R_precision. [0.07513298 0.14494681 0.21343085], matching_score_real. 2.9038615226745605, matching_score_pred. 8.366156578063965
ep/it:510-  19 niter: 11750  1278m 19s (- 2475m 3s) completed: 34%) loss_emb: 0.1610  loss: 0.8509  acc: 0.7791  lr: 0.0002 
Validation time:
Validation loss:0.733, accuracy:0.801
Validation time:
Validation loss:0.737, accuracy:0.800
Validation time:
Validation loss:0.726, accuracy:0.802
ep/it:513-   0 niter: 11800  1284m 2s (- 2470m 8s) completed: 34%) loss_emb: 0.1617  loss: 0.8542  acc: 0.7784  lr: 0.0002 
Validation time:
Validation loss:0.728, accuracy:0.802
Validation time:
Validation loss:0.725, accuracy:0.803
--> 	 Eva. Ep 515 :, FID. 66.5434, Diversity Real. 9.0615, Diversity. 1.4687, R_precision_real. [0.5106383  0.71143617 0.79787234], R_precision. [0.06781915 0.14295213 0.20279255], matching_score_real. 2.9059038162231445, matching_score_pred. 8.379739761352539
ep/it:515-   4 niter: 11850  1290m 8s (- 2465m 58s) completed: 34%) loss_emb: 0.1626  loss: 0.8594  acc: 0.7770  lr: 0.0002 
Validation time:
Validation loss:0.729, accuracy:0.802
Validation time:
Validation loss:0.710, accuracy:0.807
Improved accuracy from 0.81 to 0.8073853021082671!!!
ep/it:517-   8 niter: 11900  1295m 19s (- 2460m 1s) completed: 34%) loss_emb: 0.1632  loss: 0.8588  acc: 0.7759  lr: 0.0002 
Validation time:
Validation loss:0.739, accuracy:0.799
Validation time:
Validation loss:0.716, accuracy:0.805
ep/it:519-  12 niter: 11950  1300m 31s (- 2454m 8s) completed: 34%) loss_emb: 0.1613  loss: 0.8466  acc: 0.7791  lr: 0.0002 
Validation time:
Validation loss:0.719, accuracy:0.805
--> 	 Eva. Ep 520 :, FID. 66.5657, Diversity Real. 9.3884, Diversity. 1.4885, R_precision_real. [0.51396277 0.70345745 0.80452128], R_precision. [0.07646277 0.1462766  0.21143617], matching_score_real. 2.8606200218200684, matching_score_pred. 8.383803367614746
Validation time:
Validation loss:0.713, accuracy:0.804
ep/it:521-  16 niter: 12000  1306m 42s (- 2450m 4s) completed: 34%) loss_emb: 0.1618  loss: 0.8572  acc: 0.7782  lr: 0.0002 
Validation time:
Validation loss:0.714, accuracy:0.806
Validation time:
Validation loss:0.734, accuracy:0.803
ep/it:523-  20 niter: 12050  1311m 56s (- 2444m 13s) completed: 34%) loss_emb: 0.1596  loss: 0.8438  acc: 0.7812  lr: 0.0002 
Validation time:
Validation loss:0.730, accuracy:0.802
Validation time:
Validation loss:0.722, accuracy:0.804
--> 	 Eva. Ep 525 :, FID. 66.6025, Diversity Real. 9.5284, Diversity. 1.4682, R_precision_real. [0.5212766  0.71808511 0.81781915], R_precision. [0.07646277 0.14228723 0.1974734 ], matching_score_real. 2.872257709503174, matching_score_pred. 8.377951622009277
Validation time:
Validation loss:0.719, accuracy:0.806
ep/it:526-   1 niter: 12100  1318m 34s (- 2441m 0s) completed: 35%) loss_emb: 0.1616  loss: 0.8513  acc: 0.7794  lr: 0.0002 
Validation time:
Validation loss:0.716, accuracy:0.806
Validation time:
Validation loss:0.717, accuracy:0.805
ep/it:528-   5 niter: 12150  1323m 48s (- 2435m 9s) completed: 35%) loss_emb: 0.1614  loss: 0.8572  acc: 0.7787  lr: 0.0002 
Validation time:
Validation loss:0.728, accuracy:0.802
Validation time:
Validation loss:0.721, accuracy:0.804
--> 	 Eva. Ep 530 :, FID. 67.0869, Diversity Real. 9.4449, Diversity. 1.4432, R_precision_real. [0.5106383  0.70146277 0.79321809], R_precision. [0.0831117  0.14361702 0.21010638], matching_score_real. 2.9142377376556396, matching_score_pred. 8.35749626159668
ep/it:530-   9 niter: 12200  1329m 57s (- 2430m 59s) completed: 35%) loss_emb: 0.1598  loss: 0.8430  acc: 0.7804  lr: 0.0002 
Validation time:
Validation loss:0.722, accuracy:0.804
Validation time:
Validation loss:0.708, accuracy:0.807
Improved accuracy from 0.81 to 0.8074177166689998!!!
ep/it:532-  13 niter: 12250  1335m 8s (- 2425m 3s) completed: 35%) loss_emb: 0.1608  loss: 0.8501  acc: 0.7796  lr: 0.0002 
Validation time:
Validation loss:0.697, accuracy:0.810
Improved accuracy from 0.81 to 0.8099266031514043!!!
Validation time:
Validation loss:0.702, accuracy:0.809
ep/it:534-  17 niter: 12300  1340m 24s (- 2419m 15s) completed: 35%) loss_emb: 0.1612  loss: 0.8488  acc: 0.7787  lr: 0.0002 
Validation time:
Validation loss:0.716, accuracy:0.804
--> 	 Eva. Ep 535 :, FID. 66.7693, Diversity Real. 9.5693, Diversity. 1.4941, R_precision_real. [0.51529255 0.68949468 0.78789894], R_precision. [0.0731383  0.14960106 0.21143617], matching_score_real. 2.9356284141540527, matching_score_pred. 8.349552154541016
Validation time:
Validation loss:0.695, accuracy:0.810
Improved accuracy from 0.81 to 0.8099550475244937!!!
ep/it:536-  21 niter: 12350  1346m 36s (- 2415m 9s) completed: 35%) loss_emb: 0.1606  loss: 0.8447  acc: 0.7802  lr: 0.0002 
Validation time:
Validation loss:0.695, accuracy:0.809
Validation time:
Validation loss:0.690, accuracy:0.812
Improved accuracy from 0.81 to 0.8123227642930072!!!
Validation time:
Validation loss:0.705, accuracy:0.808
ep/it:539-   2 niter: 12400  1352m 21s (- 2410m 14s) completed: 35%) loss_emb: 0.1586  loss: 0.8328  acc: 0.7827  lr: 0.0002 
Validation time:
Validation loss:0.703, accuracy:0.808
--> 	 Eva. Ep 540 :, FID. 66.6329, Diversity Real. 9.6882, Diversity. 1.3766, R_precision_real. [0.50731383 0.69414894 0.79321809], R_precision. [0.07114362 0.14162234 0.20545213], matching_score_real. 2.9172630310058594, matching_score_pred. 8.307016372680664
Validation time:
Validation loss:0.701, accuracy:0.809
ep/it:541-   6 niter: 12450  1358m 30s (- 2406m 1s) completed: 36%) loss_emb: 0.1572  loss: 0.8311  acc: 0.7832  lr: 0.0002 
Validation time:
Validation loss:0.693, accuracy:0.811
Validation time:
Validation loss:0.697, accuracy:0.810
ep/it:543-  10 niter: 12500  1363m 43s (- 2400m 9s) completed: 36%) loss_emb: 0.1580  loss: 0.8301  acc: 0.7829  lr: 0.0002 
Validation time:
Validation loss:0.704, accuracy:0.806
Validation time:
Validation loss:0.700, accuracy:0.809
--> 	 Eva. Ep 545 :, FID. 66.7589, Diversity Real. 10.3240, Diversity. 1.4124, R_precision_real. [0.51529255 0.70279255 0.79055851], R_precision. [0.07380319 0.15026596 0.21808511], matching_score_real. 2.9137673377990723, matching_score_pred. 8.33955192565918
ep/it:545-  14 niter: 12550  1369m 54s (- 2395m 59s) completed: 36%) loss_emb: 0.1617  loss: 0.8538  acc: 0.7781  lr: 0.0002 
Validation time:
Validation loss:0.699, accuracy:0.809
Validation time:
Validation loss:0.694, accuracy:0.809
ep/it:547-  18 niter: 12600  1375m 6s (- 2390m 3s) completed: 36%) loss_emb: 0.1582  loss: 0.8291  acc: 0.7837  lr: 0.0002 
Validation time:
Validation loss:0.711, accuracy:0.806
Validation time:
Validation loss:0.712, accuracy:0.807
ep/it:549-  22 niter: 12650  1380m 20s (- 2384m 13s) completed: 36%) loss_emb: 0.1588  loss: 0.8376  acc: 0.7815  lr: 0.0002 
Validation time:
Validation loss:0.704, accuracy:0.808
--> 	 Eva. Ep 550 :, FID. 66.7643, Diversity Real. 9.4737, Diversity. 1.4934, R_precision_real. [0.5106383  0.70146277 0.79055851], R_precision. [0.07646277 0.13630319 0.19614362], matching_score_real. 2.9681596755981445, matching_score_pred. 8.351903915405273
Validation time:
Validation loss:0.700, accuracy:0.809
Validation time:
Validation loss:0.689, accuracy:0.811
ep/it:552-   3 niter: 12700  1387m 5s (- 2380m 58s) completed: 36%) loss_emb: 0.1587  loss: 0.8356  acc: 0.7818  lr: 0.0002 
Validation time:
Validation loss:0.706, accuracy:0.806
Validation time:
Validation loss:0.702, accuracy:0.807
ep/it:554-   7 niter: 12750  1392m 18s (- 2375m 6s) completed: 36%) loss_emb: 0.1588  loss: 0.8417  acc: 0.7821  lr: 0.0002 
Validation time:
Validation loss:0.681, accuracy:0.814
Improved accuracy from 0.81 to 0.8142454339110333!!!
--> 	 Eva. Ep 555 :, FID. 67.3498, Diversity Real. 9.3177, Diversity. 1.4045, R_precision_real. [0.50465426 0.69481383 0.80718085], R_precision. [0.06781915 0.13896277 0.19547872], matching_score_real. 2.9375967979431152, matching_score_pred. 8.370001792907715
Validation time:
Validation loss:0.713, accuracy:0.807
ep/it:556-  11 niter: 12800  1398m 28s (- 2370m 50s) completed: 37%) loss_emb: 0.1584  loss: 0.8333  acc: 0.7828  lr: 0.0002 
Validation time:
Validation loss:0.686, accuracy:0.813
Validation time:
Validation loss:0.685, accuracy:0.813
ep/it:558-  15 niter: 12850  1403m 42s (- 2364m 59s) completed: 37%) loss_emb: 0.1556  loss: 0.8225  acc: 0.7855  lr: 0.0002 
Validation time:
Validation loss:0.692, accuracy:0.811
Validation time:
Validation loss:0.682, accuracy:0.814
--> 	 Eva. Ep 560 :, FID. 67.4392, Diversity Real. 9.4311, Diversity. 1.4318, R_precision_real. [0.51662234 0.69281915 0.78723404], R_precision. [0.07380319 0.14428191 0.20478723], matching_score_real. 2.9196505546569824, matching_score_pred. 8.361281394958496
ep/it:560-  19 niter: 12900  1409m 53s (- 2360m 44s) completed: 37%) loss_emb: 0.1559  loss: 0.8209  acc: 0.7860  lr: 0.0002 
Validation time:
Validation loss:0.679, accuracy:0.814
Improved accuracy from 0.81 to 0.814376729985942!!!
Validation time:
Validation loss:0.689, accuracy:0.812
Validation time:
Validation loss:0.706, accuracy:0.806
ep/it:563-   0 niter: 12950  1415m 39s (- 2355m 47s) completed: 37%) loss_emb: 0.1574  loss: 0.8327  acc: 0.7840  lr: 0.0002 
Validation time:
Validation loss:0.674, accuracy:0.814
Validation time:
Validation loss:0.693, accuracy:0.810
--> 	 Eva. Ep 565 :, FID. 67.0849, Diversity Real. 9.1826, Diversity. 1.3652, R_precision_real. [0.51462766 0.71542553 0.8125    ], R_precision. [0.07180851 0.13962766 0.19348404], matching_score_real. 2.8801028728485107, matching_score_pred. 8.352219581604004
ep/it:565-   4 niter: 13000  1421m 51s (- 2351m 32s) completed: 37%) loss_emb: 0.1583  loss: 0.8331  acc: 0.7824  lr: 0.0002 
Validation time:
Validation loss:0.686, accuracy:0.811
Validation time:
Validation loss:0.686, accuracy:0.812
ep/it:567-   8 niter: 13050  1427m 5s (- 2345m 40s) completed: 37%) loss_emb: 0.1547  loss: 0.8082  acc: 0.7872  lr: 0.0002 
Validation time:
Validation loss:0.682, accuracy:0.813
Validation time:
Validation loss:0.673, accuracy:0.815
Improved accuracy from 0.81 to 0.8149210214614868!!!
ep/it:569-  12 niter: 13100  1432m 18s (- 2339m 48s) completed: 37%) loss_emb: 0.1580  loss: 0.8345  acc: 0.7826  lr: 0.0002 
Validation time:
Validation loss:0.703, accuracy:0.809
--> 	 Eva. Ep 570 :, FID. 66.7224, Diversity Real. 9.7940, Diversity. 1.4269, R_precision_real. [0.50598404 0.69015957 0.80053191], R_precision. [0.06981383 0.13829787 0.1981383 ], matching_score_real. 2.902266263961792, matching_score_pred. 8.377082824707031
Validation time:
Validation loss:0.692, accuracy:0.810
ep/it:571-  16 niter: 13150  1438m 30s (- 2335m 30s) completed: 38%) loss_emb: 0.1540  loss: 0.8071  acc: 0.7882  lr: 0.0002 
Validation time:
Validation loss:0.691, accuracy:0.811
Validation time:
Validation loss:0.679, accuracy:0.813
ep/it:573-  20 niter: 13200  1443m 44s (- 2329m 41s) completed: 38%) loss_emb: 0.1567  loss: 0.8142  acc: 0.7847  lr: 0.0002 
Validation time:
Validation loss:0.680, accuracy:0.813
Validation time:
Validation loss:0.676, accuracy:0.816
Improved accuracy from 0.81 to 0.8155228625173154!!!
--> 	 Eva. Ep 575 :, FID. 67.3267, Diversity Real. 9.4860, Diversity. 1.4374, R_precision_real. [0.49734043 0.6981383  0.79920213], R_precision. [0.07579787 0.15159574 0.20611702], matching_score_real. 2.9073452949523926, matching_score_pred. 8.412799835205078
Validation time:
Validation loss:0.671, accuracy:0.817
Improved accuracy from 0.82 to 0.8172756899958071!!!
ep/it:576-   1 niter: 13250  1450m 26s (- 2326m 10s) completed: 38%) loss_emb: 0.1574  loss: 0.8270  acc: 0.7837  lr: 0.0002 
Validation time:
Validation loss:0.681, accuracy:0.813
Validation time:
Validation loss:0.695, accuracy:0.810
ep/it:578-   5 niter: 13300  1455m 40s (- 2320m 19s) completed: 38%) loss_emb: 0.1565  loss: 0.8192  acc: 0.7845  lr: 0.0002 
Validation time:
Validation loss:0.675, accuracy:0.815
Validation time:
Validation loss:0.676, accuracy:0.814
--> 	 Eva. Ep 580 :, FID. 66.7877, Diversity Real. 9.4472, Diversity. 1.4905, R_precision_real. [0.50531915 0.69148936 0.80119681], R_precision. [0.06981383 0.12632979 0.19148936], matching_score_real. 2.931755781173706, matching_score_pred. 8.391525268554688
ep/it:580-   9 niter: 13350  1461m 52s (- 2315m 59s) completed: 38%) loss_emb: 0.1567  loss: 0.8180  acc: 0.7849  lr: 0.0002 
Validation time:
Validation loss:0.665, accuracy:0.816
Validation time:
Validation loss:0.677, accuracy:0.815
ep/it:582-  13 niter: 13400  1467m 2s (- 2310m 1s) completed: 38%) loss_emb: 0.1542  loss: 0.8063  acc: 0.7879  lr: 0.0002 
Validation time:
Validation loss:0.686, accuracy:0.811
Validation time:
Validation loss:0.672, accuracy:0.816
ep/it:584-  17 niter: 13450  1472m 15s (- 2304m 9s) completed: 38%) loss_emb: 0.1553  loss: 0.8169  acc: 0.7861  lr: 0.0002 
Validation time:
Validation loss:0.682, accuracy:0.812
--> 	 Eva. Ep 585 :, FID. 67.1407, Diversity Real. 9.4913, Diversity. 1.3846, R_precision_real. [0.5        0.69614362 0.79521277], R_precision. [0.07180851 0.13297872 0.20013298], matching_score_real. 2.9772889614105225, matching_score_pred. 8.352351188659668
Validation time:
Validation loss:0.667, accuracy:0.817
ep/it:586-  21 niter: 13500  1478m 24s (- 2299m 44s) completed: 39%) loss_emb: 0.1566  loss: 0.8249  acc: 0.7851  lr: 0.0002 
Validation time:
Validation loss:0.674, accuracy:0.816
Validation time:
Validation loss:0.659, accuracy:0.818
Improved accuracy from 0.82 to 0.8175992706547612!!!
Validation time:
Validation loss:0.677, accuracy:0.814
ep/it:589-   2 niter: 13550  1484m 11s (- 2294m 44s) completed: 39%) loss_emb: 0.1561  loss: 0.8185  acc: 0.7855  lr: 0.0002 
Validation time:
Validation loss:0.681, accuracy:0.814
--> 	 Eva. Ep 590 :, FID. 66.7520, Diversity Real. 9.4656, Diversity. 1.4081, R_precision_real. [0.50066489 0.69614362 0.79454787], R_precision. [0.0724734  0.14760638 0.19547872], matching_score_real. 2.9008688926696777, matching_score_pred. 8.336491584777832
Validation time:
Validation loss:0.666, accuracy:0.817
ep/it:591-   6 niter: 13600  1490m 19s (- 2290m 16s) completed: 39%) loss_emb: 0.1578  loss: 0.8371  acc: 0.7830  lr: 0.0002 
Validation time:
Validation loss:0.667, accuracy:0.817
Validation time:
Validation loss:0.680, accuracy:0.816
ep/it:593-  10 niter: 13650  1495m 32s (- 2284m 23s) completed: 39%) loss_emb: 0.1559  loss: 0.8215  acc: 0.7857  lr: 0.0002 
Validation time:
Validation loss:0.682, accuracy:0.814
Validation time:
Validation loss:0.689, accuracy:0.811
--> 	 Eva. Ep 595 :, FID. 66.4797, Diversity Real. 9.5320, Diversity. 1.4608, R_precision_real. [0.51994681 0.71143617 0.79920213], R_precision. [0.08111702 0.14494681 0.21010638], matching_score_real. 2.866771936416626, matching_score_pred. 8.312871932983398
ep/it:595-  14 niter: 13700  1501m 43s (- 2279m 59s) completed: 39%) loss_emb: 0.1541  loss: 0.7998  acc: 0.7887  lr: 0.0002 
Validation time:
Validation loss:0.660, accuracy:0.818
Improved accuracy from 0.82 to 0.8182108220846757!!!
Validation time:
Validation loss:0.666, accuracy:0.816
ep/it:597-  18 niter: 13750  1506m 57s (- 2274m 8s) completed: 39%) loss_emb: 0.1541  loss: 0.8138  acc: 0.7876  lr: 0.0002 
Validation time:
Validation loss:0.662, accuracy:0.817
Validation time:
Validation loss:0.670, accuracy:0.817
ep/it:599-  22 niter: 13800  1512m 12s (- 2268m 18s) completed: 40%) loss_emb: 0.1523  loss: 0.7953  acc: 0.7900  lr: 0.0002 
Validation time:
Validation loss:0.655, accuracy:0.822
Improved accuracy from 0.82 to 0.8219830238300821!!!
--> 	 Eva. Ep 600 :, FID. 67.0665, Diversity Real. 9.3746, Diversity. 1.4239, R_precision_real. [0.51662234 0.70212766 0.79853723], R_precision. [0.07380319 0.13696809 0.20212766], matching_score_real. 2.9409072399139404, matching_score_pred. 8.375312805175781
Validation time:
Validation loss:0.653, accuracy:0.820
Validation time:
Validation loss:0.663, accuracy:0.818
ep/it:602-   3 niter: 13850  1518m 55s (- 2264m 40s) completed: 40%) loss_emb: 0.1516  loss: 0.7963  acc: 0.7908  lr: 0.0002 
Validation time:
Validation loss:0.671, accuracy:0.816
Validation time:
Validation loss:0.647, accuracy:0.822
Improved accuracy from 0.82 to 0.8223783192427262!!!
ep/it:604-   7 niter: 13900  1524m 10s (- 2258m 50s) completed: 40%) loss_emb: 0.1530  loss: 0.7982  acc: 0.7897  lr: 0.0002 
Validation time:
Validation loss:0.684, accuracy:0.814
--> 	 Eva. Ep 605 :, FID. 66.9679, Diversity Real. 9.4220, Diversity. 1.4709, R_precision_real. [0.52526596 0.70744681 0.78656915], R_precision. [0.07513298 0.15026596 0.21941489], matching_score_real. 2.903099775314331, matching_score_pred. 8.343984603881836
Validation time:
Validation loss:0.661, accuracy:0.818
ep/it:606-  11 niter: 13950  1530m 25s (- 2254m 30s) completed: 40%) loss_emb: 0.1516  loss: 0.7922  acc: 0.7915  lr: 0.0002 
Validation time:
Validation loss:0.656, accuracy:0.818
Validation time:
Validation loss:0.664, accuracy:0.819
ep/it:608-  15 niter: 14000  1535m 40s (- 2248m 40s) completed: 40%) loss_emb: 0.1542  loss: 0.8098  acc: 0.7875  lr: 0.0002 
Validation time:
Validation loss:0.667, accuracy:0.819
Validation time:
Validation loss:0.668, accuracy:0.818
--> 	 Eva. Ep 610 :, FID. 67.0701, Diversity Real. 9.6048, Diversity. 1.4123, R_precision_real. [0.51462766 0.69348404 0.79853723], R_precision. [0.07114362 0.13962766 0.20146277], matching_score_real. 2.91178560256958, matching_score_pred. 8.403303146362305
ep/it:610-  19 niter: 14050  1541m 54s (- 2244m 16s) completed: 40%) loss_emb: 0.1539  loss: 0.8136  acc: 0.7882  lr: 0.0002 
Validation time:
Validation loss:0.657, accuracy:0.821
Validation time:
Validation loss:0.652, accuracy:0.821
Validation time:
Validation loss:0.671, accuracy:0.816
ep/it:613-   0 niter: 14100  1547m 38s (- 2239m 7s) completed: 40%) loss_emb: 0.1506  loss: 0.7883  acc: 0.7927  lr: 0.0002 
Validation time:
Validation loss:0.659, accuracy:0.819
Validation time:
Validation loss:0.659, accuracy:0.817
--> 	 Eva. Ep 615 :, FID. 66.9139, Diversity Real. 9.3908, Diversity. 1.4083, R_precision_real. [0.51196809 0.71409574 0.79920213], R_precision. [0.07845745 0.13297872 0.1974734 ], matching_score_real. 2.9053971767425537, matching_score_pred. 8.400165557861328
ep/it:615-   4 niter: 14150  1553m 45s (- 2234m 33s) completed: 41%) loss_emb: 0.1508  loss: 0.7877  acc: 0.7925  lr: 0.0002 
Validation time:
Validation loss:0.646, accuracy:0.821
Validation time:
Validation loss:0.663, accuracy:0.818
ep/it:617-   8 niter: 14200  1558m 55s (- 2228m 35s) completed: 41%) loss_emb: 0.1513  loss: 0.7916  acc: 0.7924  lr: 0.0002 
Validation time:
Validation loss:0.645, accuracy:0.823
Improved accuracy from 0.82 to 0.8233843368032704!!!
Validation time:
Validation loss:0.636, accuracy:0.824
Improved accuracy from 0.82 to 0.8243131741233494!!!
ep/it:619-  12 niter: 14250  1564m 9s (- 2222m 44s) completed: 41%) loss_emb: 0.1503  loss: 0.7871  acc: 0.7929  lr: 0.0002 
Validation time:
Validation loss:0.658, accuracy:0.819
--> 	 Eva. Ep 620 :, FID. 66.5118, Diversity Real. 9.3340, Diversity. 1.4352, R_precision_real. [0.5099734  0.71742021 0.81050532], R_precision. [0.07579787 0.13962766 0.20744681], matching_score_real. 2.8471479415893555, matching_score_pred. 8.36676025390625
Validation time:
Validation loss:0.652, accuracy:0.822
ep/it:621-  16 niter: 14300  1570m 16s (- 2218m 8s) completed: 41%) loss_emb: 0.1496  loss: 0.7843  acc: 0.7940  lr: 0.0002 
Validation time:
Validation loss:0.640, accuracy:0.823
Validation time:
Validation loss:0.649, accuracy:0.821
ep/it:623-  20 niter: 14350  1575m 30s (- 2212m 17s) completed: 41%) loss_emb: 0.1513  loss: 0.7925  acc: 0.7917  lr: 0.0002 
Validation time:
Validation loss:0.655, accuracy:0.820
Validation time:
Validation loss:0.653, accuracy:0.821
--> 	 Eva. Ep 625 :, FID. 66.7338, Diversity Real. 9.3932, Diversity. 1.4410, R_precision_real. [0.50797872 0.68351064 0.78922872], R_precision. [0.07180851 0.14029255 0.20079787], matching_score_real. 2.930896282196045, matching_score_pred. 8.350337028503418
Validation time:
Validation loss:0.641, accuracy:0.822
ep/it:626-   1 niter: 14400  1582m 11s (- 2208m 28s) completed: 41%) loss_emb: 0.1534  loss: 0.8050  acc: 0.7888  lr: 0.0002 
Validation time:
Validation loss:0.643, accuracy:0.822
Validation time:
Validation loss:0.646, accuracy:0.822
ep/it:628-   5 niter: 14450  1587m 22s (- 2202m 33s) completed: 41%) loss_emb: 0.1536  loss: 0.8017  acc: 0.7887  lr: 0.0002 
Validation time:
Validation loss:0.658, accuracy:0.821
Validation time:
Validation loss:0.655, accuracy:0.821
--> 	 Eva. Ep 630 :, FID. 67.0456, Diversity Real. 9.3739, Diversity. 1.4111, R_precision_real. [0.50132979 0.70412234 0.79787234], R_precision. [0.07513298 0.13763298 0.20146277], matching_score_real. 2.91569185256958, matching_score_pred. 8.380642890930176
ep/it:630-   9 niter: 14500  1593m 33s (- 2198m 0s) completed: 42%) loss_emb: 0.1518  loss: 0.8032  acc: 0.7912  lr: 0.0002 
Validation time:
Validation loss:0.659, accuracy:0.819
Validation time:
Validation loss:0.636, accuracy:0.825
Improved accuracy from 0.82 to 0.8253968876341115!!!
ep/it:632-  13 niter: 14550  1598m 49s (- 2192m 12s) completed: 42%) loss_emb: 0.1508  loss: 0.7889  acc: 0.7922  lr: 0.0002 
Validation time:
Validation loss:0.661, accuracy:0.819
Validation time:
Validation loss:0.627, accuracy:0.825
ep/it:634-  17 niter: 14600  1604m 2s (- 2186m 19s) completed: 42%) loss_emb: 0.1505  loss: 0.7883  acc: 0.7927  lr: 0.0002 
Validation time:
Validation loss:0.638, accuracy:0.824
--> 	 Eva. Ep 635 :, FID. 67.0013, Diversity Real. 9.7295, Diversity. 1.4317, R_precision_real. [0.50930851 0.69547872 0.7918883 ], R_precision. [0.07047872 0.12167553 0.20013298], matching_score_real. 2.930177688598633, matching_score_pred. 8.358061790466309
Validation time:
Validation loss:0.632, accuracy:0.827
Improved accuracy from 0.83 to 0.8268140761748605!!!
ep/it:636-  21 niter: 14650  1610m 8s (- 2181m 39s) completed: 42%) loss_emb: 0.1493  loss: 0.7804  acc: 0.7944  lr: 0.0002 
Validation time:
Validation loss:0.653, accuracy:0.820
Validation time:
Validation loss:0.625, accuracy:0.829
Improved accuracy from 0.83 to 0.8288600548453953!!!
Validation time:
Validation loss:0.662, accuracy:0.818
ep/it:639-   2 niter: 14700  1615m 52s (- 2176m 28s) completed: 42%) loss_emb: 0.1510  loss: 0.7849  acc: 0.7918  lr: 0.0002 
Validation time:
Validation loss:0.638, accuracy:0.825
--> 	 Eva. Ep 640 :, FID. 66.8513, Diversity Real. 9.9624, Diversity. 1.4174, R_precision_real. [0.48537234 0.68018617 0.78989362], R_precision. [0.07380319 0.15093085 0.21010638], matching_score_real. 2.947079658508301, matching_score_pred. 8.358880996704102
Validation time:
Validation loss:0.645, accuracy:0.823
ep/it:641-   6 niter: 14750  1621m 59s (- 2171m 49s) completed: 42%) loss_emb: 0.1493  loss: 0.7835  acc: 0.7945  lr: 0.0002 
Validation time:
Validation loss:0.637, accuracy:0.823
Validation time:
Validation loss:0.628, accuracy:0.827
ep/it:643-  10 niter: 14800  1627m 13s (- 2165m 58s) completed: 42%) loss_emb: 0.1497  loss: 0.7847  acc: 0.7936  lr: 0.0002 
Validation time:
Validation loss:0.642, accuracy:0.823
Validation time:
Validation loss:0.633, accuracy:0.825
--> 	 Eva. Ep 645 :, FID. 67.3424, Diversity Real. 9.6059, Diversity. 1.4191, R_precision_real. [0.5106383  0.70611702 0.79986702], R_precision. [0.07912234 0.13896277 0.20744681], matching_score_real. 2.9055137634277344, matching_score_pred. 8.34550666809082
ep/it:645-  14 niter: 14850  1633m 26s (- 2161m 25s) completed: 43%) loss_emb: 0.1511  loss: 0.7948  acc: 0.7921  lr: 0.0002 
Validation time:
Validation loss:0.631, accuracy:0.825
Validation time:
Validation loss:0.647, accuracy:0.821
ep/it:647-  18 niter: 14900  1638m 41s (- 2155m 35s) completed: 43%) loss_emb: 0.1473  loss: 0.7705  acc: 0.7970  lr: 0.0002 
Validation time:
Validation loss:0.646, accuracy:0.822
Validation time:
Validation loss:0.640, accuracy:0.825
ep/it:649-  22 niter: 14950  1643m 53s (- 2149m 41s) completed: 43%) loss_emb: 0.1483  loss: 0.7688  acc: 0.7957  lr: 0.0002 
Validation time:
Validation loss:0.636, accuracy:0.822
--> 	 Eva. Ep 650 :, FID. 66.8111, Diversity Real. 9.7351, Diversity. 1.4091, R_precision_real. [0.50930851 0.69215426 0.78856383], R_precision. [0.08178191 0.14428191 0.20146277], matching_score_real. 2.9086904525756836, matching_score_pred. 8.341130256652832
Validation time:
Validation loss:0.638, accuracy:0.825
Validation time:
Validation loss:0.635, accuracy:0.825
ep/it:652-   3 niter: 15000  1650m 32s (- 2145m 41s) completed: 43%) loss_emb: 0.1506  loss: 0.7893  acc: 0.7929  lr: 0.0002 
Validation time:
Validation loss:0.657, accuracy:0.819
Validation time:
Validation loss:0.631, accuracy:0.825
ep/it:654-   7 niter: 15050  1655m 45s (- 2139m 50s) completed: 43%) loss_emb: 0.1452  loss: 0.7615  acc: 0.7987  lr: 0.0002 
Validation time:
Validation loss:0.626, accuracy:0.826
--> 	 Eva. Ep 655 :, FID. 67.3788, Diversity Real. 9.0904, Diversity. 1.3219, R_precision_real. [0.50265957 0.69880319 0.80319149], R_precision. [0.07779255 0.15625    0.21875   ], matching_score_real. 2.9153337478637695, matching_score_pred. 8.3358793258667
--> --> 	 Top2 Improved from 0.1556 to 0.1562 !!!
Validation time:
Validation loss:0.635, accuracy:0.825
ep/it:656-  11 niter: 15100  1661m 56s (- 2135m 12s) completed: 43%) loss_emb: 0.1496  loss: 0.7809  acc: 0.7936  lr: 0.0002 
Validation time:
Validation loss:0.615, accuracy:0.829
Improved accuracy from 0.83 to 0.8289181745570638!!!
Validation time:
Validation loss:0.643, accuracy:0.823
ep/it:658-  15 niter: 15150  1667m 9s (- 2129m 21s) completed: 43%) loss_emb: 0.1497  loss: 0.7818  acc: 0.7942  lr: 0.0002 
Validation time:
Validation loss:0.638, accuracy:0.823
Validation time:
Validation loss:0.623, accuracy:0.829
Improved accuracy from 0.83 to 0.8289601932401243!!!
--> 	 Eva. Ep 660 :, FID. 66.6488, Diversity Real. 9.4225, Diversity. 1.4666, R_precision_real. [0.52526596 0.71409574 0.79853723], R_precision. [0.0837766  0.15359043 0.2087766 ], matching_score_real. 2.8912668228149414, matching_score_pred. 8.34943962097168
ep/it:660-  19 niter: 15200  1673m 20s (- 2124m 42s) completed: 44%) loss_emb: 0.1467  loss: 0.7786  acc: 0.7971  lr: 0.0002 
Validation time:
Validation loss:0.644, accuracy:0.824
Validation time:
Validation loss:0.624, accuracy:0.826
Validation time:
Validation loss:0.625, accuracy:0.827
ep/it:663-   0 niter: 15250  1679m 3s (- 2119m 27s) completed: 44%) loss_emb: 0.1480  loss: 0.7762  acc: 0.7963  lr: 0.0002 
Validation time:
Validation loss:0.634, accuracy:0.825
Validation time:
Validation loss:0.640, accuracy:0.823
--> 	 Eva. Ep 665 :, FID. 67.0242, Diversity Real. 9.5715, Diversity. 1.3864, R_precision_real. [0.49800532 0.68816489 0.78457447], R_precision. [0.08577128 0.14361702 0.2087766 ], matching_score_real. 2.9981813430786133, matching_score_pred. 8.344533920288086
--> --> 	 Top1 Improved from 0.0844 to 0.0858 !!!
ep/it:665-   4 niter: 15300  1685m 11s (- 2114m 45s) completed: 44%) loss_emb: 0.1473  loss: 0.7668  acc: 0.7972  lr: 0.0002 
Validation time:
Validation loss:0.604, accuracy:0.831
Improved accuracy from 0.83 to 0.8308895178463148!!!
Validation time:
Validation loss:0.638, accuracy:0.824
ep/it:667-   8 niter: 15350  1690m 22s (- 2108m 50s) completed: 44%) loss_emb: 0.1472  loss: 0.7678  acc: 0.7973  lr: 0.0002 
Validation time:
Validation loss:0.641, accuracy:0.822
Validation time:
Validation loss:0.634, accuracy:0.824
ep/it:669-  12 niter: 15400  1695m 38s (- 2103m 2s) completed: 44%) loss_emb: 0.1486  loss: 0.7830  acc: 0.7956  lr: 0.0002 
Validation time:
Validation loss:0.639, accuracy:0.826
--> 	 Eva. Ep 670 :, FID. 67.3955, Diversity Real. 9.7068, Diversity. 1.4414, R_precision_real. [0.52925532 0.72140957 0.80718085], R_precision. [0.07779255 0.14295213 0.1974734 ], matching_score_real. 2.926635980606079, matching_score_pred. 8.355693817138672
Validation time:
Validation loss:0.613, accuracy:0.831
ep/it:671-  16 niter: 15450  1701m 48s (- 2098m 20s) completed: 44%) loss_emb: 0.1467  loss: 0.7695  acc: 0.7978  lr: 0.0002 
Validation time:
Validation loss:0.623, accuracy:0.827
Validation time:
Validation loss:0.615, accuracy:0.828
ep/it:673-  20 niter: 15500  1707m 1s (- 2092m 28s) completed: 44%) loss_emb: 0.1482  loss: 0.7776  acc: 0.7956  lr: 0.0002 
Validation time:
Validation loss:0.626, accuracy:0.828
Validation time:
Validation loss:0.621, accuracy:0.827
--> 	 Eva. Ep 675 :, FID. 67.3203, Diversity Real. 9.5111, Diversity. 1.4025, R_precision_real. [0.52194149 0.68949468 0.78922872], R_precision. [0.0724734  0.13896277 0.20611702], matching_score_real. 2.9417338371276855, matching_score_pred. 8.377304077148438
Validation time:
Validation loss:0.630, accuracy:0.829
ep/it:676-   1 niter: 15550  1713m 41s (- 2088m 23s) completed: 45%) loss_emb: 0.1475  loss: 0.7750  acc: 0.7964  lr: 0.0002 
Validation time:
Validation loss:0.628, accuracy:0.823
Validation time:
Validation loss:0.623, accuracy:0.828
ep/it:678-   5 niter: 15600  1718m 56s (- 2082m 34s) completed: 45%) loss_emb: 0.1458  loss: 0.7663  acc: 0.7987  lr: 0.0002 
Validation time:
Validation loss:0.646, accuracy:0.820
Validation time:
Validation loss:0.622, accuracy:0.828
--> 	 Eva. Ep 680 :, FID. 67.0805, Diversity Real. 9.6636, Diversity. 1.3947, R_precision_real. [0.5206117  0.71010638 0.80053191], R_precision. [0.07845745 0.15093085 0.21010638], matching_score_real. 2.896599292755127, matching_score_pred. 8.394861221313477
ep/it:680-   9 niter: 15650  1725m 3s (- 2077m 47s) completed: 45%) loss_emb: 0.1452  loss: 0.7570  acc: 0.8000  lr: 0.0002 
Validation time:
Validation loss:0.628, accuracy:0.827
Validation time:
Validation loss:0.616, accuracy:0.831
Improved accuracy from 0.83 to 0.8309964900431426!!!
ep/it:682-  13 niter: 15700  1730m 15s (- 2071m 53s) completed: 45%) loss_emb: 0.1488  loss: 0.7739  acc: 0.7951  lr: 0.0002 
Validation time:
Validation loss:0.624, accuracy:0.829
Validation time:
Validation loss:0.612, accuracy:0.831
Improved accuracy from 0.83 to 0.8311614031377046!!!
ep/it:684-  17 niter: 15750  1735m 29s (- 2066m 3s) completed: 45%) loss_emb: 0.1460  loss: 0.7646  acc: 0.7984  lr: 0.0002 
Validation time:
Validation loss:0.624, accuracy:0.828
--> 	 Eva. Ep 685 :, FID. 67.7687, Diversity Real. 9.8047, Diversity. 1.4011, R_precision_real. [0.51928191 0.70744681 0.80319149], R_precision. [0.07646277 0.15359043 0.21010638], matching_score_real. 2.9385135173797607, matching_score_pred. 8.375004768371582
Validation time:
Validation loss:0.623, accuracy:0.828
ep/it:686-  21 niter: 15800  1741m 40s (- 2061m 20s) completed: 45%) loss_emb: 0.1445  loss: 0.7544  acc: 0.8010  lr: 0.0002 
Validation time:
Validation loss:0.620, accuracy:0.829
Validation time:
Validation loss:0.617, accuracy:0.828
Validation time:
Validation loss:0.631, accuracy:0.827
ep/it:689-   2 niter: 15850  1747m 21s (- 2056m 2s) completed: 45%) loss_emb: 0.1475  loss: 0.7753  acc: 0.7967  lr: 0.0002 
Validation time:
Validation loss:0.631, accuracy:0.825
--> 	 Eva. Ep 690 :, FID. 67.0983, Diversity Real. 9.5693, Diversity. 1.4452, R_precision_real. [0.51529255 0.6974734  0.78723404], R_precision. [0.06316489 0.13763298 0.20478723], matching_score_real. 2.9166340827941895, matching_score_pred. 8.375554084777832
Validation time:
Validation loss:0.615, accuracy:0.828
ep/it:691-   6 niter: 15900  1753m 32s (- 2051m 18s) completed: 46%) loss_emb: 0.1450  loss: 0.7610  acc: 0.8002  lr: 0.0002 
Validation time:
Validation loss:0.609, accuracy:0.831
Improved accuracy from 0.83 to 0.8313077299491219!!!
Validation time:
Validation loss:0.621, accuracy:0.829
ep/it:693-  10 niter: 15950  1758m 44s (- 2045m 26s) completed: 46%) loss_emb: 0.1482  loss: 0.7773  acc: 0.7959  lr: 0.0002 
Validation time:
Validation loss:0.628, accuracy:0.828
Validation time:
Validation loss:0.623, accuracy:0.828
--> 	 Eva. Ep 695 :, FID. 67.4321, Diversity Real. 9.4750, Diversity. 1.4049, R_precision_real. [0.53457447 0.72140957 0.81848404], R_precision. [0.07712766 0.15159574 0.20478723], matching_score_real. 2.838066577911377, matching_score_pred. 8.426457405090332
ep/it:695-  14 niter: 16000  1764m 55s (- 2040m 42s) completed: 46%) loss_emb: 0.1446  loss: 0.7577  acc: 0.8007  lr: 0.0002 
Validation time:
Validation loss:0.605, accuracy:0.833
Improved accuracy from 0.83 to 0.8326016819995382!!!
Validation time:
Validation loss:0.606, accuracy:0.831
ep/it:697-  18 niter: 16050  1770m 11s (- 2034m 53s) completed: 46%) loss_emb: 0.1451  loss: 0.7573  acc: 0.7999  lr: 0.0002 
Validation time:
Validation loss:0.634, accuracy:0.826
Validation time:
Validation loss:0.592, accuracy:0.837
Improved accuracy from 0.83 to 0.8369360747544662!!!
ep/it:699-  22 niter: 16100  1775m 22s (- 2028m 59s) completed: 46%) loss_emb: 0.1457  loss: 0.7668  acc: 0.7992  lr: 0.0002 
Validation time:
Validation loss:0.610, accuracy:0.833
--> 	 Eva. Ep 700 :, FID. 67.3330, Diversity Real. 9.8203, Diversity. 1.4144, R_precision_real. [0.51529255 0.70478723 0.78989362], R_precision. [0.07579787 0.15492021 0.21210106], matching_score_real. 2.9363527297973633, matching_score_pred. 8.288833618164062
Validation time:
Validation loss:0.627, accuracy:0.828
Validation time:
Validation loss:0.614, accuracy:0.831
ep/it:702-   3 niter: 16150  1782m 2s (- 2024m 48s) completed: 46%) loss_emb: 0.1442  loss: 0.7585  acc: 0.8006  lr: 0.0002 
Validation time:
Validation loss:0.615, accuracy:0.829
Validation time:
Validation loss:0.600, accuracy:0.833
ep/it:704-   7 niter: 16200  1787m 16s (- 2018m 57s) completed: 46%) loss_emb: 0.1433  loss: 0.7545  acc: 0.8022  lr: 0.0002 
Validation time:
Validation loss:0.609, accuracy:0.831
--> 	 Eva. Ep 705 :, FID. 67.3861, Diversity Real. 9.5514, Diversity. 1.4264, R_precision_real. [0.51529255 0.69547872 0.79521277], R_precision. [0.0731383  0.13763298 0.20212766], matching_score_real. 2.9430227279663086, matching_score_pred. 8.329117774963379
Validation time:
Validation loss:0.605, accuracy:0.831
ep/it:706-  11 niter: 16250  1793m 28s (- 2014m 12s) completed: 47%) loss_emb: 0.1436  loss: 0.7481  acc: 0.8012  lr: 0.0002 
Validation time:
Validation loss:0.597, accuracy:0.835
Validation time:
Validation loss:0.606, accuracy:0.831
ep/it:708-  15 niter: 16300  1798m 39s (- 2008m 18s) completed: 47%) loss_emb: 0.1433  loss: 0.7472  acc: 0.8023  lr: 0.0002 
Validation time:
Validation loss:0.621, accuracy:0.827
Validation time:
Validation loss:0.621, accuracy:0.829
--> 	 Eva. Ep 710 :, FID. 67.2693, Diversity Real. 9.2111, Diversity. 1.3814, R_precision_real. [0.50531915 0.69680851 0.79055851], R_precision. [0.07180851 0.14361702 0.20212766], matching_score_real. 2.980562210083008, matching_score_pred. 8.356341361999512
ep/it:710-  19 niter: 16350  1804m 49s (- 2003m 30s) completed: 47%) loss_emb: 0.1418  loss: 0.7414  acc: 0.8044  lr: 0.0002 
Validation time:
Validation loss:0.609, accuracy:0.833
Validation time:
Validation loss:0.608, accuracy:0.831
Validation time:
Validation loss:0.620, accuracy:0.828
ep/it:713-   0 niter: 16400  1810m 30s (- 1998m 11s) completed: 47%) loss_emb: 0.1420  loss: 0.7446  acc: 0.8035  lr: 0.0002 
Validation time:
Validation loss:0.629, accuracy:0.828
Validation time:
Validation loss:0.618, accuracy:0.828
--> 	 Eva. Ep 715 :, FID. 67.0081, Diversity Real. 9.2790, Diversity. 1.4694, R_precision_real. [0.52460106 0.70545213 0.80319149], R_precision. [0.0724734  0.13297872 0.1981383 ], matching_score_real. 2.91141939163208, matching_score_pred. 8.384048461914062
ep/it:715-   4 niter: 16450  1816m 39s (- 1993m 20s) completed: 47%) loss_emb: 0.1446  loss: 0.7555  acc: 0.8004  lr: 0.0002 
Validation time:
Validation loss:0.617, accuracy:0.829
Validation time:
Validation loss:0.615, accuracy:0.829
ep/it:717-   8 niter: 16500  1821m 51s (- 1987m 28s) completed: 47%) loss_emb: 0.1448  loss: 0.7633  acc: 0.7999  lr: 0.0002 
Validation time:
Validation loss:0.597, accuracy:0.834
Validation time:
Validation loss:0.606, accuracy:0.834
ep/it:719-  12 niter: 16550  1827m 4s (- 1981m 37s) completed: 47%) loss_emb: 0.1437  loss: 0.7554  acc: 0.8014  lr: 0.0002 
Validation time:
Validation loss:0.614, accuracy:0.831
--> 	 Eva. Ep 720 :, FID. 67.2016, Diversity Real. 9.4420, Diversity. 1.3655, R_precision_real. [0.5106383  0.6974734  0.78989362], R_precision. [0.06648936 0.13231383 0.20412234], matching_score_real. 2.927967071533203, matching_score_pred. 8.37583065032959
Validation time:
Validation loss:0.605, accuracy:0.831
ep/it:721-  16 niter: 16600  1833m 14s (- 1976m 48s) completed: 48%) loss_emb: 0.1422  loss: 0.7373  acc: 0.8035  lr: 0.0002 
Validation time:
Validation loss:0.603, accuracy:0.834
Validation time:
Validation loss:0.603, accuracy:0.833
ep/it:723-  20 niter: 16650  1838m 26s (- 1970m 56s) completed: 48%) loss_emb: 0.1440  loss: 0.7513  acc: 0.8013  lr: 0.0002 
Validation time:
Validation loss:0.617, accuracy:0.830
Validation time:
Validation loss:0.617, accuracy:0.830
--> 	 Eva. Ep 725 :, FID. 67.1892, Diversity Real. 9.2543, Diversity. 1.4251, R_precision_real. [0.50797872 0.70345745 0.80784574], R_precision. [0.06914894 0.13630319 0.20079787], matching_score_real. 2.933529853820801, matching_score_pred. 8.404566764831543
Validation time:
Validation loss:0.608, accuracy:0.831
ep/it:726-   1 niter: 16700  1845m 7s (- 1966m 39s) completed: 48%) loss_emb: 0.1422  loss: 0.7416  acc: 0.8033  lr: 0.0002 
Validation time:
Validation loss:0.619, accuracy:0.829
Validation time:
Validation loss:0.599, accuracy:0.833
ep/it:728-   5 niter: 16750  1850m 18s (- 1960m 46s) completed: 48%) loss_emb: 0.1419  loss: 0.7346  acc: 0.8042  lr: 0.0002 
Validation time:
Validation loss:0.617, accuracy:0.830
Validation time:
Validation loss:0.586, accuracy:0.838
Improved accuracy from 0.84 to 0.8380335284316022!!!
--> 	 Eva. Ep 730 :, FID. 67.0845, Diversity Real. 9.6362, Diversity. 1.4542, R_precision_real. [0.51595745 0.70345745 0.8018617 ], R_precision. [0.07180851 0.13696809 0.20611702], matching_score_real. 2.8985350131988525, matching_score_pred. 8.339821815490723
ep/it:730-   9 niter: 16800  1856m 26s (- 1955m 53s) completed: 48%) loss_emb: 0.1406  loss: 0.7349  acc: 0.8053  lr: 0.0002 
Validation time:
Validation loss:0.604, accuracy:0.833
Validation time:
Validation loss:0.606, accuracy:0.833
ep/it:732-  13 niter: 16850  1861m 39s (- 1950m 3s) completed: 48%) loss_emb: 0.1440  loss: 0.7579  acc: 0.8008  lr: 0.0002 
Validation time:
Validation loss:0.611, accuracy:0.830
Validation time:
Validation loss:0.601, accuracy:0.834
ep/it:734-  17 niter: 16900  1866m 54s (- 1944m 13s) completed: 48%) loss_emb: 0.1424  loss: 0.7451  acc: 0.8031  lr: 0.0002 
Validation time:
Validation loss:0.593, accuracy:0.835
--> 	 Eva. Ep 735 :, FID. 67.2742, Diversity Real. 9.4088, Diversity. 1.4905, R_precision_real. [0.52327128 0.70944149 0.80851064], R_precision. [0.07446809 0.14361702 0.21343085], matching_score_real. 2.877753973007202, matching_score_pred. 8.360969543457031
Validation time:
Validation loss:0.590, accuracy:0.837
ep/it:736-  21 niter: 16950  1873m 3s (- 1939m 21s) completed: 49%) loss_emb: 0.1410  loss: 0.7376  acc: 0.8046  lr: 0.0002 
Validation time:
Validation loss:0.591, accuracy:0.836
Validation time:
Validation loss:0.613, accuracy:0.830
Validation time:
Validation loss:0.594, accuracy:0.836
ep/it:739-   2 niter: 17000  1878m 47s (- 1934m 2s) completed: 49%) loss_emb: 0.1415  loss: 0.7413  acc: 0.8046  lr: 0.0002 
Validation time:
Validation loss:0.606, accuracy:0.833
--> 	 Eva. Ep 740 :, FID. 67.3277, Diversity Real. 9.5988, Diversity. 1.4151, R_precision_real. [0.50731383 0.70212766 0.78922872], R_precision. [0.07114362 0.13231383 0.1981383 ], matching_score_real. 2.945584535598755, matching_score_pred. 8.362131118774414
Validation time:
Validation loss:0.603, accuracy:0.832
ep/it:741-   6 niter: 17050  1884m 57s (- 1929m 11s) completed: 49%) loss_emb: 0.1426  loss: 0.7409  acc: 0.8036  lr: 0.0002 
Validation time:
Validation loss:0.574, accuracy:0.842
Improved accuracy from 0.84 to 0.8415740469227666!!!
Validation time:
Validation loss:0.599, accuracy:0.833
ep/it:743-  10 niter: 17100  1890m 12s (- 1923m 22s) completed: 49%) loss_emb: 0.1422  loss: 0.7447  acc: 0.8032  lr: 0.0002 
Validation time:
Validation loss:0.603, accuracy:0.833
Validation time:
Validation loss:0.599, accuracy:0.834
--> 	 Eva. Ep 745 :, FID. 66.8279, Diversity Real. 9.4804, Diversity. 1.4143, R_precision_real. [0.51795213 0.71143617 0.7918883 ], R_precision. [0.08111702 0.13896277 0.20212766], matching_score_real. 2.915212392807007, matching_score_pred. 8.338418960571289
ep/it:745-  14 niter: 17150  1896m 24s (- 1918m 31s) completed: 49%) loss_emb: 0.1413  loss: 0.7380  acc: 0.8046  lr: 0.0002 
Validation time:
Validation loss:0.593, accuracy:0.837
Validation time:
Validation loss:0.579, accuracy:0.840
ep/it:747-  18 niter: 17200  1901m 35s (- 1912m 38s) completed: 49%) loss_emb: 0.1397  loss: 0.7300  acc: 0.8068  lr: 0.0002 
Validation time:
Validation loss:0.595, accuracy:0.836
Validation time:
Validation loss:0.619, accuracy:0.829
ep/it:749-  22 niter: 17250  1906m 48s (- 1906m 48s) completed: 50%) loss_emb: 0.1389  loss: 0.7255  acc: 0.8081  lr: 0.0002 
Validation time:
Validation loss:0.600, accuracy:0.833
--> 	 Eva. Ep 750 :, FID. 67.4417, Diversity Real. 9.2153, Diversity. 1.3878, R_precision_real. [0.50332447 0.6974734  0.80319149], R_precision. [0.06848404 0.13098404 0.19414894], matching_score_real. 2.8823862075805664, matching_score_pred. 8.400493621826172
Validation time:
Validation loss:0.600, accuracy:0.834
Validation time:
Validation loss:0.592, accuracy:0.834
ep/it:752-   3 niter: 17300  1913m 26s (- 1902m 23s) completed: 50%) loss_emb: 0.1415  loss: 0.7348  acc: 0.8045  lr: 0.0002 
Validation time:
Validation loss:0.585, accuracy:0.838
Validation time:
Validation loss:0.583, accuracy:0.840
ep/it:754-   7 niter: 17350  1918m 40s (- 1896m 33s) completed: 50%) loss_emb: 0.1395  loss: 0.7321  acc: 0.8071  lr: 0.0002 
Validation time:
Validation loss:0.594, accuracy:0.836
--> 	 Eva. Ep 755 :, FID. 67.3555, Diversity Real. 9.4302, Diversity. 1.4079, R_precision_real. [0.50664894 0.69946809 0.79388298], R_precision. [0.07845745 0.15159574 0.20279255], matching_score_real. 2.9059672355651855, matching_score_pred. 8.341226577758789
Validation time:
Validation loss:0.580, accuracy:0.839
ep/it:756-  11 niter: 17400  1924m 48s (- 1891m 37s) completed: 50%) loss_emb: 0.1405  loss: 0.7310  acc: 0.8056  lr: 0.0002 
Validation time:
Validation loss:0.585, accuracy:0.837
Validation time:
Validation loss:0.600, accuracy:0.835
ep/it:758-  15 niter: 17450  1930m 2s (- 1885m 47s) completed: 50%) loss_emb: 0.1427  loss: 0.7406  acc: 0.8026  lr: 0.0002 
Validation time:
Validation loss:0.588, accuracy:0.838
Validation time:
Validation loss:0.586, accuracy:0.838
--> 	 Eva. Ep 760 :, FID. 67.4043, Diversity Real. 9.2854, Diversity. 1.4272, R_precision_real. [0.53257979 0.71143617 0.79920213], R_precision. [0.0724734  0.13896277 0.20212766], matching_score_real. 2.938570499420166, matching_score_pred. 8.349260330200195
ep/it:760-  19 niter: 17500  1936m 9s (- 1880m 50s) completed: 50%) loss_emb: 0.1379  loss: 0.7191  acc: 0.8091  lr: 0.0002 
Validation time:
Validation loss:0.587, accuracy:0.837
Validation time:
Validation loss:0.591, accuracy:0.836
Validation time:
Validation loss:0.591, accuracy:0.836
ep/it:763-   0 niter: 17550  1941m 54s (- 1875m 31s) completed: 50%) loss_emb: 0.1411  loss: 0.7365  acc: 0.8055  lr: 0.0002 
Validation time:
Validation loss:0.577, accuracy:0.841
Validation time:
Validation loss:0.601, accuracy:0.836
--> 	 Eva. Ep 765 :, FID. 67.2637, Diversity Real. 9.5026, Diversity. 1.4305, R_precision_real. [0.50731383 0.70212766 0.79055851], R_precision. [0.07579787 0.13297872 0.19481383], matching_score_real. 2.931835651397705, matching_score_pred. 8.358774185180664
ep/it:765-   4 niter: 17600  1948m 4s (- 1870m 35s) completed: 51%) loss_emb: 0.1400  loss: 0.7270  acc: 0.8064  lr: 0.0002 
Validation time:
Validation loss:0.573, accuracy:0.840
Validation time:
Validation loss:0.588, accuracy:0.838
ep/it:767-   8 niter: 17650  1953m 18s (- 1864m 46s) completed: 51%) loss_emb: 0.1388  loss: 0.7306  acc: 0.8072  lr: 0.0002 
Validation time:
Validation loss:0.578, accuracy:0.840
Validation time:
Validation loss:0.579, accuracy:0.840
ep/it:769-  12 niter: 17700  1958m 29s (- 1858m 54s) completed: 51%) loss_emb: 0.1433  loss: 0.7500  acc: 0.8025  lr: 0.0002 
Validation time:
Validation loss:0.583, accuracy:0.838
--> 	 Eva. Ep 770 :, FID. 67.2787, Diversity Real. 9.4487, Diversity. 1.3991, R_precision_real. [0.5        0.69148936 0.78856383], R_precision. [0.07047872 0.13098404 0.19215426], matching_score_real. 2.967198133468628, matching_score_pred. 8.369983673095703
Validation time:
Validation loss:0.583, accuracy:0.839
ep/it:771-  16 niter: 17750  1964m 43s (- 1854m 2s) completed: 51%) loss_emb: 0.1390  loss: 0.7207  acc: 0.8074  lr: 0.0002 
Validation time:
Validation loss:0.597, accuracy:0.834
Validation time:
Validation loss:0.577, accuracy:0.840
ep/it:773-  20 niter: 17800  1969m 56s (- 1848m 12s) completed: 51%) loss_emb: 0.1399  loss: 0.7279  acc: 0.8065  lr: 0.0002 
Validation time:
Validation loss:0.595, accuracy:0.838
Validation time:
Validation loss:0.585, accuracy:0.838
--> 	 Eva. Ep 775 :, FID. 67.3070, Diversity Real. 9.2140, Diversity. 1.3817, R_precision_real. [0.50864362 0.71077128 0.79920213], R_precision. [0.08111702 0.13896277 0.19148936], matching_score_real. 2.904161214828491, matching_score_pred. 8.345834732055664
Validation time:
Validation loss:0.574, accuracy:0.842
ep/it:776-   1 niter: 17850  1976m 38s (- 1843m 45s) completed: 51%) loss_emb: 0.1377  loss: 0.7158  acc: 0.8096  lr: 0.0002 
Validation time:
Validation loss:0.574, accuracy:0.840
Validation time:
Validation loss:0.588, accuracy:0.837
ep/it:778-   5 niter: 17900  1981m 50s (- 1837m 54s) completed: 51%) loss_emb: 0.1372  loss: 0.7212  acc: 0.8093  lr: 0.0002 
Validation time:
Validation loss:0.566, accuracy:0.841
Validation time:
Validation loss:0.566, accuracy:0.842
Improved accuracy from 0.84 to 0.8423004668691884!!!
--> 	 Eva. Ep 780 :, FID. 67.8393, Diversity Real. 9.5928, Diversity. 1.3848, R_precision_real. [0.51462766 0.71675532 0.80984043], R_precision. [0.06914894 0.13430851 0.19946809], matching_score_real. 2.90372633934021, matching_score_pred. 8.339334487915039
ep/it:780-   9 niter: 17950  1987m 58s (- 1832m 55s) completed: 52%) loss_emb: 0.1393  loss: 0.7310  acc: 0.8070  lr: 0.0002 
Validation time:
Validation loss:0.574, accuracy:0.840
Validation time:
Validation loss:0.582, accuracy:0.839
ep/it:782-  13 niter: 18000  1993m 10s (- 1827m 4s) completed: 52%) loss_emb: 0.1374  loss: 0.7193  acc: 0.8099  lr: 0.0002 
Validation time:
Validation loss:0.576, accuracy:0.841
Validation time:
Validation loss:0.581, accuracy:0.837
ep/it:784-  17 niter: 18050  1998m 24s (- 1821m 15s) completed: 52%) loss_emb: 0.1373  loss: 0.7182  acc: 0.8101  lr: 0.0002 
Validation time:
Validation loss:0.573, accuracy:0.840
--> 	 Eva. Ep 785 :, FID. 67.5412, Diversity Real. 9.5848, Diversity. 1.3571, R_precision_real. [0.49800532 0.70079787 0.80984043], R_precision. [0.06848404 0.12965426 0.20279255], matching_score_real. 2.9059431552886963, matching_score_pred. 8.408493041992188
Validation time:
Validation loss:0.589, accuracy:0.836
ep/it:786-  21 niter: 18100  2004m 34s (- 1816m 18s) completed: 52%) loss_emb: 0.1385  loss: 0.7332  acc: 0.8081  lr: 0.0002 
Validation time:
Validation loss:0.573, accuracy:0.842
Validation time:
Validation loss:0.582, accuracy:0.836
Validation time:
Validation loss:0.580, accuracy:0.840
ep/it:789-   2 niter: 18150  2010m 16s (- 1810m 54s) completed: 52%) loss_emb: 0.1364  loss: 0.7114  acc: 0.8110  lr: 0.0002 
Validation time:
Validation loss:0.573, accuracy:0.840
--> 	 Eva. Ep 790 :, FID. 67.5788, Diversity Real. 9.4554, Diversity. 1.3844, R_precision_real. [0.50731383 0.68218085 0.79454787], R_precision. [0.07180851 0.13231383 0.19880319], matching_score_real. 2.9072020053863525, matching_score_pred. 8.385309219360352
Validation time:
Validation loss:0.580, accuracy:0.837
ep/it:791-   6 niter: 18200  2016m 24s (- 1805m 54s) completed: 52%) loss_emb: 0.1375  loss: 0.7144  acc: 0.8105  lr: 0.0002 
Validation time:
Validation loss:0.595, accuracy:0.836
Validation time:
Validation loss:0.570, accuracy:0.839
ep/it:793-  10 niter: 18250  2021m 36s (- 1800m 3s) completed: 52%) loss_emb: 0.1384  loss: 0.7208  acc: 0.8086  lr: 0.0002 
Validation time:
Validation loss:0.566, accuracy:0.840
Validation time:
Validation loss:0.571, accuracy:0.840
--> 	 Eva. Ep 795 :, FID. 66.7514, Diversity Real. 9.7813, Diversity. 1.4159, R_precision_real. [0.50598404 0.71476064 0.80452128], R_precision. [0.0731383  0.14228723 0.20412234], matching_score_real. 2.8887698650360107, matching_score_pred. 8.359503746032715
ep/it:795-  14 niter: 18300  2027m 45s (- 1795m 4s) completed: 53%) loss_emb: 0.1391  loss: 0.7333  acc: 0.8073  lr: 0.0002 
Validation time:
Validation loss:0.583, accuracy:0.838
Validation time:
Validation loss:0.579, accuracy:0.839
ep/it:797-  18 niter: 18350  2033m 0s (- 1789m 15s) completed: 53%) loss_emb: 0.1374  loss: 0.7119  acc: 0.8099  lr: 0.0002 
Validation time:
Validation loss:0.571, accuracy:0.842
Validation time:
Validation loss:0.581, accuracy:0.839
ep/it:799-  22 niter: 18400  2038m 12s (- 1783m 26s) completed: 53%) loss_emb: 0.1365  loss: 0.7137  acc: 0.8107  lr: 0.0002 
Validation time:
Validation loss:0.569, accuracy:0.842
--> 	 Eva. Ep 800 :, FID. 66.9945, Diversity Real. 9.5688, Diversity. 1.4326, R_precision_real. [0.50531915 0.71077128 0.79787234], R_precision. [0.07180851 0.14095745 0.1981383 ], matching_score_real. 2.9246268272399902, matching_score_pred. 8.380878448486328
Validation time:
Validation loss:0.572, accuracy:0.842
Validation time:
Validation loss:0.589, accuracy:0.837
ep/it:802-   3 niter: 18450  2044m 54s (- 1778m 54s) completed: 53%) loss_emb: 0.1359  loss: 0.7087  acc: 0.8117  lr: 0.0002 
Validation time:
Validation loss:0.578, accuracy:0.839
Validation time:
Validation loss:0.584, accuracy:0.837
ep/it:804-   7 niter: 18500  2050m 8s (- 1773m 5s) completed: 53%) loss_emb: 0.1390  loss: 0.7359  acc: 0.8076  lr: 0.0002 
Validation time:
Validation loss:0.561, accuracy:0.845
Improved accuracy from 0.84 to 0.8452236730119457!!!
--> 	 Eva. Ep 805 :, FID. 67.6465, Diversity Real. 9.5829, Diversity. 1.3971, R_precision_real. [0.52460106 0.70279255 0.80452128], R_precision. [0.06382979 0.12367021 0.18417553], matching_score_real. 2.856912136077881, matching_score_pred. 8.404627799987793
Validation time:
Validation loss:0.564, accuracy:0.843
ep/it:806-  11 niter: 18550  2056m 18s (- 1768m 5s) completed: 53%) loss_emb: 0.1353  loss: 0.7117  acc: 0.8124  lr: 0.0002 
Validation time:
Validation loss:0.575, accuracy:0.840
Validation time:
Validation loss:0.566, accuracy:0.843
ep/it:808-  15 niter: 18600  2061m 34s (- 1762m 18s) completed: 53%) loss_emb: 0.1385  loss: 0.7287  acc: 0.8084  lr: 0.0002 
Validation time:
Validation loss:0.576, accuracy:0.841
Validation time:
Validation loss:0.566, accuracy:0.843
--> 	 Eva. Ep 810 :, FID. 67.3158, Diversity Real. 9.2352, Diversity. 1.4425, R_precision_real. [0.51529255 0.6981383  0.79654255], R_precision. [0.07513298 0.14494681 0.19946809], matching_score_real. 2.9120006561279297, matching_score_pred. 8.335808753967285
ep/it:810-  19 niter: 18650  2067m 42s (- 1757m 16s) completed: 54%) loss_emb: 0.1382  loss: 0.7233  acc: 0.8082  lr: 0.0002 
Validation time:
Validation loss:0.567, accuracy:0.842
Validation time:
Validation loss:0.565, accuracy:0.842
Validation time:
Validation loss:0.574, accuracy:0.842
ep/it:813-   0 niter: 18700  2073m 26s (- 1751m 53s) completed: 54%) loss_emb: 0.1358  loss: 0.7077  acc: 0.8114  lr: 0.0002 
Validation time:
Validation loss:0.566, accuracy:0.841
Validation time:
Validation loss:0.568, accuracy:0.841
--> 	 Eva. Ep 815 :, FID. 67.5067, Diversity Real. 9.5086, Diversity. 1.3521, R_precision_real. [0.52260638 0.71143617 0.79454787], R_precision. [0.06981383 0.1349734  0.1974734 ], matching_score_real. 2.9252231121063232, matching_score_pred. 8.37739086151123
ep/it:815-   4 niter: 18750  2079m 36s (- 1746m 52s) completed: 54%) loss_emb: 0.1372  loss: 0.7158  acc: 0.8101  lr: 0.0002 
Validation time:
Validation loss:0.578, accuracy:0.840
Validation time:
Validation loss:0.577, accuracy:0.840
ep/it:817-   8 niter: 18800  2084m 48s (- 1741m 2s) completed: 54%) loss_emb: 0.1336  loss: 0.6887  acc: 0.8141  lr: 0.0002 
Validation time:
Validation loss:0.561, accuracy:0.844
Validation time:
Validation loss:0.571, accuracy:0.843
ep/it:819-  12 niter: 18850  2090m 3s (- 1735m 14s) completed: 54%) loss_emb: 0.1374  loss: 0.7180  acc: 0.8096  lr: 0.0002 
Validation time:
Validation loss:0.552, accuracy:0.844
--> 	 Eva. Ep 820 :, FID. 67.4803, Diversity Real. 9.4854, Diversity. 1.3815, R_precision_real. [0.50265957 0.69880319 0.78856383], R_precision. [0.06981383 0.13896277 0.20079787], matching_score_real. 2.9667975902557373, matching_score_pred. 8.346050262451172
Validation time:
Validation loss:0.575, accuracy:0.843
ep/it:821-  16 niter: 18900  2096m 11s (- 1730m 11s) completed: 54%) loss_emb: 0.1362  loss: 0.7065  acc: 0.8117  lr: 0.0002 
Validation time:
Validation loss:0.554, accuracy:0.844
Validation time:
Validation loss:0.566, accuracy:0.843
ep/it:823-  20 niter: 18950  2101m 23s (- 1724m 21s) completed: 54%) loss_emb: 0.1376  loss: 0.7206  acc: 0.8094  lr: 0.0002 
Validation time:
Validation loss:0.549, accuracy:0.848
Improved accuracy from 0.85 to 0.8482830887255461!!!
Validation time:
Validation loss:0.563, accuracy:0.841
--> 	 Eva. Ep 825 :, FID. 67.6818, Diversity Real. 9.2429, Diversity. 1.3658, R_precision_real. [0.50664894 0.69946809 0.80319149], R_precision. [0.07114362 0.14095745 0.20212766], matching_score_real. 2.9084489345550537, matching_score_pred. 8.425512313842773
Validation time:
Validation loss:0.585, accuracy:0.839
ep/it:826-   1 niter: 19000  2108m 10s (- 1719m 49s) completed: 55%) loss_emb: 0.1377  loss: 0.7177  acc: 0.8090  lr: 0.0002 
Validation time:
Validation loss:0.555, accuracy:0.845
Validation time:
Validation loss:0.588, accuracy:0.837
ep/it:828-   5 niter: 19050  2113m 23s (- 1714m 0s) completed: 55%) loss_emb: 0.1373  loss: 0.7145  acc: 0.8098  lr: 0.0002 
Validation time:
Validation loss:0.553, accuracy:0.847
Validation time:
Validation loss:0.576, accuracy:0.840
--> 	 Eva. Ep 830 :, FID. 67.3642, Diversity Real. 9.6134, Diversity. 1.3719, R_precision_real. [0.50864362 0.71609043 0.81050532], R_precision. [0.06981383 0.13231383 0.19348404], matching_score_real. 2.8828513622283936, matching_score_pred. 8.382373809814453
ep/it:830-   9 niter: 19100  2118m 35s (- 1708m 11s) completed: 55%) loss_emb: 0.1387  loss: 0.7227  acc: 0.8075  lr: 0.0002 
Validation time:
Validation loss:0.589, accuracy:0.836
Validation time:
Validation loss:0.574, accuracy:0.841
ep/it:832-  13 niter: 19150  2120m 7s (- 1699m 24s) completed: 55%) loss_emb: 0.1369  loss: 0.7151  acc: 0.8107  lr: 0.0002 
Validation time:
Validation loss:0.548, accuracy:0.846
Validation time:
Validation loss:0.586, accuracy:0.838
ep/it:834-  17 niter: 19200  2121m 38s (- 1690m 41s) completed: 55%) loss_emb: 0.1348  loss: 0.7019  acc: 0.8134  lr: 0.0002 
Validation time:
Validation loss:0.565, accuracy:0.844
--> 	 Eva. Ep 835 :, FID. 67.6208, Diversity Real. 9.4128, Diversity. 1.3905, R_precision_real. [0.5099734  0.71542553 0.79720745], R_precision. [0.07047872 0.13297872 0.19015957], matching_score_real. 2.8889646530151367, matching_score_pred. 8.399908065795898
Validation time:
Validation loss:0.569, accuracy:0.842
ep/it:836-  21 niter: 19250  2123m 39s (- 1682m 22s) completed: 55%) loss_emb: 0.1358  loss: 0.7101  acc: 0.8114  lr: 0.0002 
Validation time:
Validation loss:0.568, accuracy:0.842
Validation time:
Validation loss:0.562, accuracy:0.845
Validation time:
Validation loss:0.578, accuracy:0.841
ep/it:839-   2 niter: 19300  2125m 21s (- 1673m 51s) completed: 55%) loss_emb: 0.1366  loss: 0.7130  acc: 0.8108  lr: 0.0002 
Validation time:
Validation loss:0.557, accuracy:0.844
--> 	 Eva. Ep 840 :, FID. 67.2808, Diversity Real. 9.2547, Diversity. 1.3955, R_precision_real. [0.50132979 0.69880319 0.79055851], R_precision. [0.07978723 0.13962766 0.20944149], matching_score_real. 2.9781653881073, matching_score_pred. 8.36899471282959
Validation time:
Validation loss:0.573, accuracy:0.843
ep/it:841-   6 niter: 19350  2127m 22s (- 1665m 36s) completed: 56%) loss_emb: 0.1351  loss: 0.7064  acc: 0.8125  lr: 0.0002 
Validation time:
Validation loss:0.569, accuracy:0.841
Validation time:
Validation loss:0.573, accuracy:0.838
ep/it:843-  10 niter: 19400  2128m 52s (- 1657m 0s) completed: 56%) loss_emb: 0.1352  loss: 0.7051  acc: 0.8129  lr: 0.0002 
Validation time:
Validation loss:0.544, accuracy:0.848
Validation time:
Validation loss:0.563, accuracy:0.842
--> 	 Eva. Ep 845 :, FID. 67.4376, Diversity Real. 9.2793, Diversity. 1.3746, R_precision_real. [0.51728723 0.70279255 0.78789894], R_precision. [0.07446809 0.13962766 0.21143617], matching_score_real. 2.8972132205963135, matching_score_pred. 8.356138229370117
ep/it:845-  14 niter: 19450  2130m 52s (- 1648m 49s) completed: 56%) loss_emb: 0.1376  loss: 0.7232  acc: 0.8093  lr: 0.0002 
Validation time:
Validation loss:0.563, accuracy:0.843
Validation time:
Validation loss:0.559, accuracy:0.844
ep/it:847-  18 niter: 19500  2132m 23s (- 1640m 18s) completed: 56%) loss_emb: 0.1363  loss: 0.7138  acc: 0.8108  lr: 0.0002 
Validation time:
Validation loss:0.555, accuracy:0.844
Validation time:
Validation loss:0.552, accuracy:0.847
ep/it:849-  22 niter: 19550  2133m 54s (- 1631m 48s) completed: 56%) loss_emb: 0.1336  loss: 0.6954  acc: 0.8146  lr: 0.0002 
Validation time:
Validation loss:0.551, accuracy:0.848
--> 	 Eva. Ep 850 :, FID. 67.2660, Diversity Real. 9.5907, Diversity. 1.4411, R_precision_real. [0.5        0.69148936 0.78457447], R_precision. [0.07513298 0.14029255 0.20146277], matching_score_real. 2.9922854900360107, matching_score_pred. 8.354593276977539
Validation time:
Validation loss:0.551, accuracy:0.846
Validation time:
Validation loss:0.558, accuracy:0.844
ep/it:852-   3 niter: 19600  2136m 6s (- 1623m 52s) completed: 56%) loss_emb: 0.1336  loss: 0.7024  acc: 0.8145  lr: 0.0002 
Validation time:
Validation loss:0.556, accuracy:0.844
Validation time:
Validation loss:0.556, accuracy:0.844
ep/it:854-   7 niter: 19650  2137m 38s (- 1615m 28s) completed: 56%) loss_emb: 0.1353  loss: 0.7072  acc: 0.8121  lr: 0.0002 
Validation time:
Validation loss:0.575, accuracy:0.840
--> 	 Eva. Ep 855 :, FID. 67.4155, Diversity Real. 9.5898, Diversity. 1.3471, R_precision_real. [0.49867021 0.70678191 0.80851064], R_precision. [0.07912234 0.14428191 0.20744681], matching_score_real. 2.888932228088379, matching_score_pred. 8.36950397491455
Validation time:
Validation loss:0.538, accuracy:0.850
Improved accuracy from 0.85 to 0.8499995418216871!!!
ep/it:856-  11 niter: 19700  2139m 40s (- 1607m 28s) completed: 57%) loss_emb: 0.1355  loss: 0.7090  acc: 0.8116  lr: 0.0002 
Validation time:
Validation loss:0.550, accuracy:0.846
Validation time:
Validation loss:0.565, accuracy:0.843
ep/it:858-  15 niter: 19750  2141m 11s (- 1599m 7s) completed: 57%) loss_emb: 0.1359  loss: 0.7117  acc: 0.8115  lr: 0.0002 
Validation time:
Validation loss:0.555, accuracy:0.846
Validation time:
Validation loss:0.556, accuracy:0.846
--> 	 Eva. Ep 860 :, FID. 67.3146, Diversity Real. 9.4273, Diversity. 1.3898, R_precision_real. [0.5106383  0.69414894 0.78989362], R_precision. [0.06715426 0.14162234 0.19547872], matching_score_real. 2.90960431098938, matching_score_pred. 8.342121124267578
ep/it:860-  19 niter: 19800  2143m 13s (- 1591m 11s) completed: 57%) loss_emb: 0.1333  loss: 0.6972  acc: 0.8152  lr: 0.0002 
Validation time:
Validation loss:0.540, accuracy:0.849
Validation time:
Validation loss:0.551, accuracy:0.847
Validation time:
Validation loss:0.566, accuracy:0.843
ep/it:863-   0 niter: 19850  2144m 56s (- 1583m 2s) completed: 57%) loss_emb: 0.1346  loss: 0.6993  acc: 0.8128  lr: 0.0002 
Validation time:
Validation loss:0.566, accuracy:0.843
Validation time:
Validation loss:0.543, accuracy:0.846
--> 	 Eva. Ep 865 :, FID. 67.8063, Diversity Real. 9.4175, Diversity. 1.3532, R_precision_real. [0.52194149 0.71675532 0.80984043], R_precision. [0.07380319 0.14162234 0.20146277], matching_score_real. 2.9178504943847656, matching_score_pred. 8.397480010986328
ep/it:865-   4 niter: 19900  2146m 58s (- 1575m 9s) completed: 57%) loss_emb: 0.1344  loss: 0.7009  acc: 0.8138  lr: 0.0002 
Validation time:
Validation loss:0.562, accuracy:0.842
Validation time:
Validation loss:0.566, accuracy:0.842
ep/it:867-   8 niter: 19950  2148m 28s (- 1566m 56s) completed: 57%) loss_emb: 0.1332  loss: 0.6987  acc: 0.8146  lr: 0.0002 
Validation time:
Validation loss:0.566, accuracy:0.842
Validation time:
Validation loss:0.535, accuracy:0.849
ep/it:869-  12 niter: 20000  2150m 0s (- 1558m 45s) completed: 57%) loss_emb: 0.1386  loss: 0.7211  acc: 0.8078  lr: 0.0002 
Validation time:
Validation loss:0.560, accuracy:0.844
--> 	 Eva. Ep 870 :, FID. 67.3019, Diversity Real. 9.3223, Diversity. 1.3539, R_precision_real. [0.52460106 0.71875    0.80851064], R_precision. [0.07712766 0.13696809 0.21143617], matching_score_real. 2.9451606273651123, matching_score_pred. 8.33889389038086
Validation time:
Validation loss:0.563, accuracy:0.844
ep/it:871-  16 niter: 20050  2152m 2s (- 1550m 58s) completed: 58%) loss_emb: 0.1345  loss: 0.7033  acc: 0.8129  lr: 0.0002 
Validation time:
Validation loss:0.555, accuracy:0.843
Validation time:
Validation loss:0.549, accuracy:0.846
ep/it:873-  20 niter: 20100  2153m 33s (- 1542m 51s) completed: 58%) loss_emb: 0.1321  loss: 0.6830  acc: 0.8164  lr: 0.0002 
Validation time:
Validation loss:0.561, accuracy:0.844
Validation time:
Validation loss:0.538, accuracy:0.850
--> 	 Eva. Ep 875 :, FID. 67.1697, Diversity Real. 9.2701, Diversity. 1.3795, R_precision_real. [0.5106383  0.70279255 0.79587766], R_precision. [0.0724734  0.15093085 0.21210106], matching_score_real. 2.9153382778167725, matching_score_pred. 8.390317916870117
Validation time:
Validation loss:0.568, accuracy:0.844
ep/it:876-   1 niter: 20150  2155m 48s (- 1535m 16s) completed: 58%) loss_emb: 0.1333  loss: 0.6967  acc: 0.8149  lr: 0.0002 
Validation time:
Validation loss:0.535, accuracy:0.850
Validation time:
Validation loss:0.549, accuracy:0.847
ep/it:878-   5 niter: 20200  2157m 19s (- 1527m 12s) completed: 58%) loss_emb: 0.1329  loss: 0.6918  acc: 0.8157  lr: 0.0002 
Validation time:
Validation loss:0.548, accuracy:0.846
Validation time:
Validation loss:0.557, accuracy:0.847
--> 	 Eva. Ep 880 :, FID. 67.4158, Diversity Real. 9.3600, Diversity. 1.4013, R_precision_real. [0.51861702 0.71276596 0.81117021], R_precision. [0.08045213 0.14694149 0.20678191], matching_score_real. 2.9150938987731934, matching_score_pred. 8.404743194580078
ep/it:880-   9 niter: 20250  2159m 21s (- 1519m 32s) completed: 58%) loss_emb: 0.1335  loss: 0.6940  acc: 0.8144  lr: 0.0002 
Validation time:
Validation loss:0.556, accuracy:0.846
Validation time:
Validation loss:0.550, accuracy:0.847
ep/it:882-  13 niter: 20300  2160m 51s (- 1511m 32s) completed: 58%) loss_emb: 0.1333  loss: 0.6972  acc: 0.8151  lr: 0.0002 
Validation time:
Validation loss:0.560, accuracy:0.847
Validation time:
Validation loss:0.546, accuracy:0.848