Live Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 159696 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] Number of peaks input: 41697 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 41697 Number of peaks input: 10242 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 10242 Number of non peaks input: 83394 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 83394 Number of non peaks input: 10242 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 10242 Number of peaks after removing outliers: 41692 Number of nonpeaks after removing outliers: 36127 got the model Model: "functional_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] bpnet_1st_conv (Conv1D) (None, 2094, 128) 10880 ['sequence[0][0]'] bpnet_1conv (Conv1D) (None, 2090, 128) 49280 ['bpnet_1st_conv[0][0]'] bpnet_1crop (Cropping1D) (None, 2090, 128) 0 ['bpnet_1st_conv[0][0]'] add (Add) (None, 2090, 128) 0 ['bpnet_1conv[0][0]', 'bpnet_1crop[0][0]'] bpnet_2conv (Conv1D) (None, 2082, 128) 49280 ['add[0][0]'] bpnet_2crop (Cropping1D) (None, 2082, 128) 0 ['add[0][0]'] add_1 (Add) (None, 2082, 128) 0 ['bpnet_2conv[0][0]', 'bpnet_2crop[0][0]'] bpnet_3conv (Conv1D) (None, 2066, 128) 49280 ['add_1[0][0]'] bpnet_3crop (Cropping1D) (None, 2066, 128) 0 ['add_1[0][0]'] add_2 (Add) (None, 2066, 128) 0 ['bpnet_3conv[0][0]', 'bpnet_3crop[0][0]'] bpnet_4conv (Conv1D) (None, 2034, 128) 49280 ['add_2[0][0]'] bpnet_4crop (Cropping1D) (None, 2034, 128) 0 ['add_2[0][0]'] add_3 (Add) (None, 2034, 128) 0 ['bpnet_4conv[0][0]', 'bpnet_4crop[0][0]'] prof_out_precrop (Conv1D) (None, 1960, 1) 9601 ['add_3[0][0]'] logits_profile_predictions_pre (None, 1000, 1) 0 ['prof_out_precrop[0][0]'] flatten (Cropping1D) gap (GlobalAveragePooling1D) (None, 128) 0 ['add_3[0][0]'] logits_profile_predictions (Fl (None, 1000) 0 ['logits_profile_predictions_pref atten) latten[0][0]'] logcount_predictions (Dense) (None, 1) 129 ['gap[0][0]'] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ Predicting within adjust counts 1/1129 [..............................] - ETA: 43:01 9/1129 [..............................] - ETA: 7s  16/1129 [..............................] - ETA: 8s 23/1129 [..............................] - ETA: 8s 30/1129 [..............................] - ETA: 8s 37/1129 [..............................] - ETA: 8s 44/1129 [>.............................] - ETA: 7s 51/1129 [>.............................] - ETA: 7s 58/1129 [>.............................] - ETA: 7s 65/1129 [>.............................] - ETA: 7s 72/1129 [>.............................] - ETA: 7s 79/1129 [=>............................] - ETA: 7s 86/1129 [=>............................] - ETA: 7s 93/1129 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[==========================>...] - ETA: 0s 1031/1129 [==========================>...] - ETA: 0s 1038/1129 [==========================>...] - ETA: 0s 1045/1129 [==========================>...] - ETA: 0s 1052/1129 [==========================>...] - ETA: 0s 1059/1129 [===========================>..] - ETA: 0s 1066/1129 [===========================>..] - ETA: 0s 1073/1129 [===========================>..] - ETA: 0s 1080/1129 [===========================>..] - ETA: 0s 1087/1129 [===========================>..] - ETA: 0s 1094/1129 [============================>.] - ETA: 0s 1101/1129 [============================>.] - ETA: 0s 1108/1129 [============================>.] - ETA: 0s 1115/1129 [============================>.] - ETA: 0s 1122/1129 [============================>.] - ETA: 0s 1129/1129 [==============================] - ETA: 0s 1129/1129 [==============================] - 11s 7ms/step got the model loading peaks... got split:test for bed regions:(10242, 10) 0/161 100/161 Bias model pearsonr performance in peaks is: -0.06 {'counts_loss_weight': '1.1', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.NI/fold_4/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(37402, 10) loading nonpeaks... got split:train for bed regions:(32555, 10) loading peaks... got split:valid for bed regions:(4290, 10) loading nonpeaks... got split:valid for bed regions:(3572, 10) Epoch 1/50 1/643 [..............................] - ETA: 51:55 - loss: 70.2390 - logits_profile_predictions_loss: 69.3986 - logcount_predictions_loss: 0.7640 2/643 [..............................] - ETA: 3:10 - loss: 1035.1339 - logits_profile_predictions_loss: 71.7046 - logcount_predictions_loss: 875.8448 3/643 [..............................] - ETA: 3:09 - loss: 710.6309 - logits_profile_predictions_loss: 67.8070 - logcount_predictions_loss: 584.3854  4/643 [..............................] - ETA: 3:08 - loss: 549.9407 - logits_profile_predictions_loss: 67.1909 - logcount_predictions_loss: 438.8634 5/643 [..............................] - ETA: 3:08 - loss: 452.3536 - logits_profile_predictions_loss: 65.7027 - logcount_predictions_loss: 351.5008 6/643 [..............................] - ETA: 3:08 - loss: 387.1326 - logits_profile_predictions_loss: 64.5266 - logcount_predictions_loss: 293.2781 7/643 [..............................] - ETA: 3:07 - loss: 341.0079 - logits_profile_predictions_loss: 64.1278 - logcount_predictions_loss: 251.7092 8/643 [..............................] - ETA: 3:07 - loss: 306.8994 - logits_profile_predictions_loss: 64.2822 - logcount_predictions_loss: 220.5611 9/643 [..............................] - ETA: 3:06 - loss: 279.6710 - logits_profile_predictions_loss: 63.7572 - logcount_predictions_loss: 196.2852 10/643 [..............................] - ETA: 3:06 - loss: 257.9431 - logits_profile_predictions_loss: 63.3909 - logcount_predictions_loss: 176.8657 11/643 [..............................] - ETA: 3:06 - loss: 241.1793 - logits_profile_predictions_loss: 64.0186 - logcount_predictions_loss: 161.0552 12/643 [..............................] - ETA: 3:05 - loss: 226.5299 - logits_profile_predictions_loss: 63.9146 - logcount_predictions_loss: 147.8321 13/643 [..............................] - ETA: 3:05 - loss: 213.9446 - logits_profile_predictions_loss: 63.6588 - logcount_predictions_loss: 136.6235 14/643 [..............................] - ETA: 3:05 - loss: 204.0182 - logits_profile_predictions_loss: 64.2436 - logcount_predictions_loss: 127.0678 15/643 [..............................] - ETA: 3:04 - loss: 195.8306 - logits_profile_predictions_loss: 65.1385 - logcount_predictions_loss: 118.8110 16/643 [..............................] - ETA: 3:04 - loss: 187.3445 - logits_profile_predictions_loss: 64.6847 - logcount_predictions_loss: 111.5089 17/643 [..............................] - ETA: 3:04 - loss: 179.9268 - logits_profile_predictions_loss: 64.3470 - logcount_predictions_loss: 105.0726 18/643 [..............................] - ETA: 3:03 - loss: 173.6176 - logits_profile_predictions_loss: 64.3094 - logcount_predictions_loss: 99.3711  19/643 [..............................] - ETA: 3:03 - loss: 167.7489 - logits_profile_predictions_loss: 64.0661 - logcount_predictions_loss: 94.2570 20/643 [..............................] - ETA: 3:03 - loss: 162.5198 - logits_profile_predictions_loss: 63.9018 - logcount_predictions_loss: 89.6527 21/643 [..............................] - ETA: 3:02 - loss: 158.3468 - logits_profile_predictions_loss: 64.2746 - logcount_predictions_loss: 85.5202 22/643 [>.............................] - ETA: 3:02 - loss: 153.8923 - logits_profile_predictions_loss: 63.9966 - logcount_predictions_loss: 81.7234 23/643 [>.............................] - ETA: 3:02 - loss: 149.9946 - logits_profile_predictions_loss: 63.8956 - logcount_predictions_loss: 78.2718 24/643 [>.............................] - ETA: 3:02 - loss: 146.9455 - logits_profile_predictions_loss: 64.2971 - logcount_predictions_loss: 75.1349 25/643 [>.............................] - ETA: 3:01 - loss: 143.7187 - logits_profile_predictions_loss: 64.2778 - logcount_predictions_loss: 72.2191 26/643 [>.............................] - ETA: 3:01 - loss: 140.7406 - logits_profile_predictions_loss: 64.2602 - logcount_predictions_loss: 69.5276 27/643 [>.............................] - ETA: 3:01 - loss: 137.7690 - logits_profile_predictions_loss: 64.0346 - logcount_predictions_loss: 67.0313 28/643 [>.............................] - ETA: 3:00 - loss: 135.2143 - logits_profile_predictions_loss: 64.0207 - logcount_predictions_loss: 64.7214 29/643 [>.............................] - ETA: 3:00 - loss: 132.8450 - logits_profile_predictions_loss: 64.0189 - logcount_predictions_loss: 62.5692 30/643 [>.............................] - ETA: 3:00 - loss: 130.2269 - logits_profile_predictions_loss: 63.6279 - logcount_predictions_loss: 60.5445 31/643 [>.............................] - ETA: 2:59 - loss: 128.1566 - logits_profile_predictions_loss: 63.6230 - logcount_predictions_loss: 58.6669 32/643 [>.............................] - ETA: 2:59 - loss: 126.2234 - logits_profile_predictions_loss: 63.6282 - logcount_predictions_loss: 56.9046 33/643 [>.............................] - ETA: 2:59 - loss: 124.1809 - logits_profile_predictions_loss: 63.4145 - logcount_predictions_loss: 55.2421 34/643 [>.............................] - ETA: 2:58 - loss: 122.2901 - logits_profile_predictions_loss: 63.2431 - logcount_predictions_loss: 53.6791 35/643 [>.............................] - ETA: 2:58 - loss: 120.6659 - logits_profile_predictions_loss: 63.2336 - logcount_predictions_loss: 52.2112 36/643 [>.............................] - ETA: 2:58 - loss: 119.1456 - logits_profile_predictions_loss: 63.2357 - logcount_predictions_loss: 50.8271 37/643 [>.............................] - ETA: 2:58 - loss: 117.2707 - logits_profile_predictions_loss: 62.8238 - logcount_predictions_loss: 49.4972 38/643 [>.............................] - ETA: 2:57 - loss: 115.3578 - logits_profile_predictions_loss: 62.3047 - logcount_predictions_loss: 48.2302 39/643 [>.............................] - ETA: 2:57 - loss: 113.8046 - logits_profile_predictions_loss: 62.0573 - logcount_predictions_loss: 47.0430 40/643 [>.............................] - ETA: 2:57 - loss: 112.0626 - logits_profile_predictions_loss: 61.5705 - logcount_predictions_loss: 45.9019 41/643 [>.............................] - ETA: 2:56 - loss: 111.2583 - logits_profile_predictions_loss: 61.9199 - logcount_predictions_loss: 44.8530 42/643 [>.............................] - ETA: 2:56 - loss: 109.9210 - logits_profile_predictions_loss: 61.7094 - logcount_predictions_loss: 43.8287 43/643 [=>............................] - ETA: 2:56 - loss: 108.8456 - logits_profile_predictions_loss: 61.6988 - logcount_predictions_loss: 42.8607 44/643 [=>............................] - ETA: 2:56 - loss: 107.6787 - logits_profile_predictions_loss: 61.5548 - logcount_predictions_loss: 41.9308 45/643 [=>............................] - ETA: 2:55 - loss: 106.6717 - logits_profile_predictions_loss: 61.5166 - logcount_predictions_loss: 41.0500 46/643 [=>............................] - ETA: 2:55 - loss: 105.6874 - logits_profile_predictions_loss: 61.4625 - logcount_predictions_loss: 40.2044 47/643 [=>............................] - ETA: 2:55 - loss: 105.0313 - logits_profile_predictions_loss: 61.6810 - logcount_predictions_loss: 39.4093 48/643 [=>............................] - ETA: 2:54 - loss: 104.1834 - logits_profile_predictions_loss: 61.6826 - logcount_predictions_loss: 38.6371 49/643 [=>............................] - ETA: 2:54 - loss: 103.3869 - logits_profile_predictions_loss: 61.6991 - logcount_predictions_loss: 37.8980 50/643 [=>............................] - ETA: 2:54 - loss: 102.5442 - logits_profile_predictions_loss: 61.6411 - logcount_predictions_loss: 37.1846 51/643 [=>............................] - ETA: 2:53 - loss: 101.5726 - logits_profile_predictions_loss: 61.4358 - logcount_predictions_loss: 36.4880 52/643 [=>............................] - ETA: 2:53 - loss: 101.1554 - logits_profile_predictions_loss: 61.7258 - logcount_predictions_loss: 35.8451 53/643 [=>............................] - ETA: 2:53 - loss: 100.2223 - logits_profile_predictions_loss: 61.4984 - logcount_predictions_loss: 35.2035 54/643 [=>............................] - ETA: 2:53 - loss: 99.4809 - logits_profile_predictions_loss: 61.4321 - logcount_predictions_loss: 34.5899  55/643 [=>............................] - ETA: 2:52 - loss: 98.7827 - logits_profile_predictions_loss: 61.3831 - logcount_predictions_loss: 33.9996 56/643 [=>............................] - ETA: 2:52 - loss: 98.1902 - logits_profile_predictions_loss: 61.4084 - logcount_predictions_loss: 33.4380 57/643 [=>............................] - ETA: 2:52 - loss: 97.6155 - logits_profile_predictions_loss: 61.4349 - logcount_predictions_loss: 32.8914 58/643 [=>............................] - ETA: 2:51 - loss: 97.1701 - logits_profile_predictions_loss: 61.5633 - logcount_predictions_loss: 32.3699 59/643 [=>............................] - ETA: 2:51 - loss: 96.5540 - logits_profile_predictions_loss: 61.5110 - logcount_predictions_loss: 31.8572 60/643 [=>............................] - ETA: 2:51 - loss: 96.1846 - logits_profile_predictions_loss: 61.6736 - logcount_predictions_loss: 31.3736 61/643 [=>............................] - ETA: 2:51 - loss: 95.6021 - logits_profile_predictions_loss: 61.6204 - logcount_predictions_loss: 30.8924 62/643 [=>............................] - ETA: 2:50 - loss: 95.0542 - logits_profile_predictions_loss: 61.5820 - logcount_predictions_loss: 30.4293 63/643 [=>............................] - ETA: 2:50 - loss: 94.6609 - logits_profile_predictions_loss: 61.6732 - logcount_predictions_loss: 29.9888 64/643 [=>............................] - ETA: 2:50 - loss: 94.2745 - logits_profile_predictions_loss: 61.7588 - logcount_predictions_loss: 29.5597 65/643 [==>...........................] - ETA: 2:49 - loss: 93.7599 - logits_profile_predictions_loss: 61.7075 - logcount_predictions_loss: 29.1385 66/643 [==>...........................] - ETA: 2:49 - loss: 93.3465 - logits_profile_predictions_loss: 61.7376 - logcount_predictions_loss: 28.7354 67/643 [==>...........................] - ETA: 2:49 - loss: 92.7277 - logits_profile_predictions_loss: 61.5630 - logcount_predictions_loss: 28.3316 68/643 [==>...........................] - ETA: 2:48 - loss: 92.1252 - logits_profile_predictions_loss: 61.3926 - logcount_predictions_loss: 27.9387 69/643 [==>...........................] - ETA: 2:48 - loss: 91.6789 - logits_profile_predictions_loss: 61.3575 - logcount_predictions_loss: 27.5649 70/643 [==>...........................] - ETA: 2:48 - loss: 91.3597 - logits_profile_predictions_loss: 61.4308 - logcount_predictions_loss: 27.2081 71/643 [==>...........................] - ETA: 2:48 - loss: 90.9592 - logits_profile_predictions_loss: 61.4187 - logcount_predictions_loss: 26.8550 72/643 [==>...........................] - ETA: 2:47 - loss: 90.6387 - logits_profile_predictions_loss: 61.4699 - logcount_predictions_loss: 26.5171 73/643 [==>...........................] - ETA: 2:47 - loss: 90.3467 - logits_profile_predictions_loss: 61.5396 - logcount_predictions_loss: 26.1883 74/643 [==>...........................] - ETA: 2:47 - loss: 89.9315 - logits_profile_predictions_loss: 61.4829 - logcount_predictions_loss: 25.8623 75/643 [==>...........................] - ETA: 2:46 - loss: 89.5881 - logits_profile_predictions_loss: 61.4846 - logcount_predictions_loss: 25.5485 76/643 [==>...........................] - ETA: 2:46 - loss: 89.0976 - logits_profile_predictions_loss: 61.3384 - logcount_predictions_loss: 25.2356 77/643 [==>...........................] - ETA: 2:46 - loss: 88.6960 - logits_profile_predictions_loss: 61.2663 - logcount_predictions_loss: 24.9361 78/643 [==>...........................] - ETA: 2:46 - loss: 88.3411 - logits_profile_predictions_loss: 61.2330 - logcount_predictions_loss: 24.6437 79/643 [==>...........................] - ETA: 2:45 - loss: 87.9262 - logits_profile_predictions_loss: 61.1352 - logcount_predictions_loss: 24.3555 80/643 [==>...........................] - ETA: 2:45 - loss: 87.5157 - logits_profile_predictions_loss: 61.0355 - logcount_predictions_loss: 24.0730 81/643 [==>...........................] - ETA: 2:45 - loss: 87.1867 - logits_profile_predictions_loss: 61.0033 - logcount_predictions_loss: 23.8031 82/643 [==>...........................] - ETA: 2:44 - loss: 86.8440 - logits_profile_predictions_loss: 60.9513 - 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logits_profile_predictions_loss: 59.5229 - logcount_predictions_loss: 4.4161 639/643 [============================>.] - ETA: 1s - loss: 64.3573 - logits_profile_predictions_loss: 59.5060 - logcount_predictions_loss: 4.4104 640/643 [============================>.] - ETA: 0s - loss: 64.3433 - logits_profile_predictions_loss: 59.4986 - logcount_predictions_loss: 4.4043 641/643 [============================>.] - ETA: 0s - loss: 64.3160 - logits_profile_predictions_loss: 59.4778 - logcount_predictions_loss: 4.3985 642/643 [============================>.] - ETA: 0s - loss: 64.2989 - logits_profile_predictions_loss: 59.4674 - logcount_predictions_loss: 4.3923 643/643 [==============================] - ETA: 0s - loss: 64.3013 - logits_profile_predictions_loss: 59.4758 - logcount_predictions_loss: 4.3868 Epoch 1: val_loss improved from inf to 55.67056, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.NI/fold_4/models/chrombpnet.h5  643/643 [==============================] - 209s 317ms/step - loss: 64.3013 - logits_profile_predictions_loss: 59.4758 - logcount_predictions_loss: 4.3868 - val_loss: 55.6706 - val_logits_profile_predictions_loss: 54.9640 - val_logcount_predictions_loss: 0.6423 Epoch 2/50 1/643 [..............................] - ETA: 3:17 - loss: 61.0786 - logits_profile_predictions_loss: 60.3229 - logcount_predictions_loss: 0.6870 2/643 [..............................] - ETA: 3:08 - loss: 66.4823 - logits_profile_predictions_loss: 65.5382 - logcount_predictions_loss: 0.8583 3/643 [..............................] - ETA: 3:08 - loss: 64.0114 - logits_profile_predictions_loss: 63.1145 - logcount_predictions_loss: 0.8154 4/643 [..............................] - ETA: 3:07 - loss: 59.0647 - logits_profile_predictions_loss: 58.2523 - logcount_predictions_loss: 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[===>..........................] - ETA: 2:43 - loss: 59.8727 - logits_profile_predictions_loss: 59.1924 - logcount_predictions_loss: 0.6185 87/643 [===>..........................] - ETA: 2:43 - loss: 59.9254 - logits_profile_predictions_loss: 59.2461 - logcount_predictions_loss: 0.6176 88/643 [===>..........................] - ETA: 2:43 - loss: 59.8739 - logits_profile_predictions_loss: 59.1950 - logcount_predictions_loss: 0.6172 89/643 [===>..........................] - ETA: 2:43 - loss: 59.9749 - logits_profile_predictions_loss: 59.2974 - logcount_predictions_loss: 0.6159 90/643 [===>..........................] - ETA: 2:42 - loss: 60.0668 - logits_profile_predictions_loss: 59.3899 - logcount_predictions_loss: 0.6154 91/643 [===>..........................] - ETA: 2:42 - loss: 60.0845 - logits_profile_predictions_loss: 59.4085 - logcount_predictions_loss: 0.6146 92/643 [===>..........................] - ETA: 2:42 - loss: 60.1543 - logits_profile_predictions_loss: 59.4778 - 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[..............................] - ETA: 3:08 - loss: 62.5746 - logits_profile_predictions_loss: 62.0462 - logcount_predictions_loss: 0.4804 3/643 [..............................] - ETA: 3:07 - loss: 62.5352 - logits_profile_predictions_loss: 62.0157 - logcount_predictions_loss: 0.4723 4/643 [..............................] - ETA: 3:07 - loss: 60.6075 - logits_profile_predictions_loss: 60.0818 - logcount_predictions_loss: 0.4779 5/643 [..............................] - ETA: 3:07 - loss: 59.8192 - logits_profile_predictions_loss: 59.3105 - logcount_predictions_loss: 0.4624 6/643 [..............................] - ETA: 3:06 - loss: 61.1101 - logits_profile_predictions_loss: 60.6010 - logcount_predictions_loss: 0.4628 7/643 [..............................] - ETA: 3:06 - loss: 61.8162 - logits_profile_predictions_loss: 61.3066 - logcount_predictions_loss: 0.4633 8/643 [..............................] - ETA: 3:06 - loss: 61.9125 - logits_profile_predictions_loss: 61.4091 - 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logcount_predictions_loss: 0.4572 639/643 [============================>.] - ETA: 1s - loss: 58.6756 - logits_profile_predictions_loss: 58.1729 - logcount_predictions_loss: 0.4571 640/643 [============================>.] - ETA: 0s - loss: 58.6679 - logits_profile_predictions_loss: 58.1655 - logcount_predictions_loss: 0.4568 641/643 [============================>.] - ETA: 0s - loss: 58.6533 - logits_profile_predictions_loss: 58.1510 - logcount_predictions_loss: 0.4566 642/643 [============================>.] - ETA: 0s - loss: 58.6537 - logits_profile_predictions_loss: 58.1515 - logcount_predictions_loss: 0.4566 643/643 [==============================] - ETA: 0s - loss: 58.6569 - logits_profile_predictions_loss: 58.1548 - logcount_predictions_loss: 0.4565 Epoch 3: val_loss improved from 55.07766 to 54.76656, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.NI/fold_4/models/chrombpnet.h5  643/643 [==============================] - 201s 313ms/step - loss: 58.6569 - logits_profile_predictions_loss: 58.1548 - logcount_predictions_loss: 0.4565 - val_loss: 54.7666 - val_logits_profile_predictions_loss: 54.3488 - val_logcount_predictions_loss: 0.3798 Epoch 4/50 1/643 [..............................] - ETA: 3:21 - loss: 54.9577 - logits_profile_predictions_loss: 54.4115 - logcount_predictions_loss: 0.4966 2/643 [..............................] - ETA: 3:08 - loss: 55.5982 - logits_profile_predictions_loss: 55.1020 - logcount_predictions_loss: 0.4511 3/643 [..............................] - ETA: 3:07 - loss: 57.6207 - logits_profile_predictions_loss: 57.1257 - logcount_predictions_loss: 0.4500 4/643 [..............................] - ETA: 3:07 - loss: 56.8854 - logits_profile_predictions_loss: 56.3744 - logcount_predictions_loss: 0.4645 5/643 [..............................] - ETA: 3:07 - loss: 57.1989 - logits_profile_predictions_loss: 56.7006 - logcount_predictions_loss: 0.4530 6/643 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[==============================] - ETA: 0s - loss: 58.1150 - logits_profile_predictions_loss: 57.6449 - logcount_predictions_loss: 0.4274 Epoch 4: val_loss improved from 54.76656 to 54.43076, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.NI/fold_4/models/chrombpnet.h5  643/643 [==============================] - 203s 316ms/step - loss: 58.1150 - logits_profile_predictions_loss: 57.6449 - logcount_predictions_loss: 0.4274 - val_loss: 54.4308 - val_logits_profile_predictions_loss: 54.0472 - val_logcount_predictions_loss: 0.3487 Epoch 5/50 1/643 [..............................] - ETA: 3:21 - loss: 56.3113 - logits_profile_predictions_loss: 55.8501 - logcount_predictions_loss: 0.4193 2/643 [..............................] - ETA: 3:07 - loss: 55.6329 - logits_profile_predictions_loss: 55.2318 - logcount_predictions_loss: 0.3646 3/643 [..............................] - ETA: 3:07 - loss: 55.9446 - logits_profile_predictions_loss: 55.4884 - logcount_predictions_loss: 0.4147 4/643 [..............................] - ETA: 3:07 - loss: 54.8796 - logits_profile_predictions_loss: 54.4280 - logcount_predictions_loss: 0.4106 5/643 [..............................] - ETA: 3:07 - loss: 55.5299 - logits_profile_predictions_loss: 55.0499 - logcount_predictions_loss: 0.4364 6/643 [..............................] - ETA: 3:06 - loss: 56.7788 - logits_profile_predictions_loss: 56.2996 - logcount_predictions_loss: 0.4356 7/643 [..............................] - ETA: 3:06 - loss: 55.4464 - logits_profile_predictions_loss: 54.9690 - logcount_predictions_loss: 0.4340 8/643 [..............................] - ETA: 3:06 - loss: 55.6205 - logits_profile_predictions_loss: 55.1534 - logcount_predictions_loss: 0.4247 9/643 [..............................] - ETA: 3:05 - loss: 55.3031 - logits_profile_predictions_loss: 54.8516 - logcount_predictions_loss: 0.4104 10/643 [..............................] - ETA: 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[..............................] - ETA: 3:03 - loss: 56.2175 - logits_profile_predictions_loss: 55.7868 - logcount_predictions_loss: 0.3915 18/643 [..............................] - ETA: 3:03 - loss: 56.6134 - logits_profile_predictions_loss: 56.1805 - logcount_predictions_loss: 0.3936 19/643 [..............................] - ETA: 3:03 - loss: 56.7036 - logits_profile_predictions_loss: 56.2740 - logcount_predictions_loss: 0.3905 20/643 [..............................] - ETA: 3:02 - loss: 56.7319 - logits_profile_predictions_loss: 56.3033 - logcount_predictions_loss: 0.3896 21/643 [..............................] - ETA: 3:02 - loss: 57.1017 - logits_profile_predictions_loss: 56.6635 - logcount_predictions_loss: 0.3984 22/643 [>.............................] - ETA: 3:02 - loss: 57.3881 - logits_profile_predictions_loss: 56.9466 - logcount_predictions_loss: 0.4014 23/643 [>.............................] - ETA: 3:01 - loss: 57.7289 - logits_profile_predictions_loss: 57.2824 - 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[=>............................] - ETA: 2:55 - loss: 58.2532 - logits_profile_predictions_loss: 57.7885 - logcount_predictions_loss: 0.4225 45/643 [=>............................] - ETA: 2:55 - loss: 58.1491 - logits_profile_predictions_loss: 57.6870 - logcount_predictions_loss: 0.4201 46/643 [=>............................] - ETA: 2:55 - loss: 58.0863 - logits_profile_predictions_loss: 57.6247 - logcount_predictions_loss: 0.4196 47/643 [=>............................] - ETA: 2:54 - loss: 58.3370 - logits_profile_predictions_loss: 57.8715 - logcount_predictions_loss: 0.4233 48/643 [=>............................] - ETA: 2:54 - loss: 58.3252 - logits_profile_predictions_loss: 57.8605 - logcount_predictions_loss: 0.4224 49/643 [=>............................] - ETA: 2:54 - loss: 58.2729 - logits_profile_predictions_loss: 57.8049 - logcount_predictions_loss: 0.4255 50/643 [=>............................] - ETA: 2:54 - loss: 58.0260 - logits_profile_predictions_loss: 57.5544 - 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[==>...........................] - ETA: 2:47 - loss: 58.4384 - logits_profile_predictions_loss: 57.9699 - logcount_predictions_loss: 0.4259 72/643 [==>...........................] - ETA: 2:47 - loss: 58.3331 - logits_profile_predictions_loss: 57.8629 - logcount_predictions_loss: 0.4274 73/643 [==>...........................] - ETA: 2:47 - loss: 58.3542 - logits_profile_predictions_loss: 57.8858 - logcount_predictions_loss: 0.4258 74/643 [==>...........................] - ETA: 2:47 - loss: 58.3565 - logits_profile_predictions_loss: 57.8891 - logcount_predictions_loss: 0.4249 75/643 [==>...........................] - ETA: 2:46 - loss: 58.2637 - logits_profile_predictions_loss: 57.7972 - logcount_predictions_loss: 0.4241 76/643 [==>...........................] - ETA: 2:46 - loss: 58.3539 - logits_profile_predictions_loss: 57.8853 - logcount_predictions_loss: 0.4260 77/643 [==>...........................] - ETA: 2:46 - loss: 58.5098 - logits_profile_predictions_loss: 58.0415 - 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[============================>.] - ETA: 3s - loss: 57.5308 - logits_profile_predictions_loss: 57.0968 - logcount_predictions_loss: 0.3946 632/643 [============================>.] - ETA: 3s - loss: 57.5380 - logits_profile_predictions_loss: 57.1039 - logcount_predictions_loss: 0.3947 633/643 [============================>.] - ETA: 2s - loss: 57.5367 - logits_profile_predictions_loss: 57.1026 - logcount_predictions_loss: 0.3946 634/643 [============================>.] - ETA: 2s - loss: 57.5403 - logits_profile_predictions_loss: 57.1064 - logcount_predictions_loss: 0.3944 635/643 [============================>.] - ETA: 2s - loss: 57.5513 - logits_profile_predictions_loss: 57.1175 - logcount_predictions_loss: 0.3944 636/643 [============================>.] - ETA: 2s - loss: 57.5473 - logits_profile_predictions_loss: 57.1133 - logcount_predictions_loss: 0.3945 637/643 [============================>.] - ETA: 1s - loss: 57.5518 - logits_profile_predictions_loss: 57.1177 - logcount_predictions_loss: 0.3946 638/643 [============================>.] - ETA: 1s - loss: 57.5513 - logits_profile_predictions_loss: 57.1172 - logcount_predictions_loss: 0.3946 639/643 [============================>.] - ETA: 1s - loss: 57.5517 - logits_profile_predictions_loss: 57.1173 - logcount_predictions_loss: 0.3948 640/643 [============================>.] - ETA: 0s - loss: 57.5490 - logits_profile_predictions_loss: 57.1148 - logcount_predictions_loss: 0.3947 641/643 [============================>.] - ETA: 0s - loss: 57.5404 - logits_profile_predictions_loss: 57.1063 - logcount_predictions_loss: 0.3947 642/643 [============================>.] - ETA: 0s - loss: 57.5354 - logits_profile_predictions_loss: 57.1015 - logcount_predictions_loss: 0.3945 643/643 [==============================] - ETA: 0s - loss: 57.5244 - logits_profile_predictions_loss: 57.0904 - logcount_predictions_loss: 0.3945 Epoch 6: val_loss improved from 54.40831 to 54.33245, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.NI/fold_4/models/chrombpnet.h5  643/643 [==============================] - 201s 313ms/step - loss: 57.5244 - logits_profile_predictions_loss: 57.0904 - logcount_predictions_loss: 0.3945 - val_loss: 54.3325 - val_logits_profile_predictions_loss: 53.9492 - val_logcount_predictions_loss: 0.3484 Epoch 7/50 1/643 [..............................] - ETA: 3:16 - loss: 57.7000 - logits_profile_predictions_loss: 57.2699 - logcount_predictions_loss: 0.3910 2/643 [..............................] - ETA: 3:08 - loss: 54.5716 - logits_profile_predictions_loss: 54.1183 - logcount_predictions_loss: 0.4121 3/643 [..............................] - ETA: 3:07 - loss: 56.7039 - logits_profile_predictions_loss: 56.2329 - logcount_predictions_loss: 0.4282 4/643 [..............................] - ETA: 3:07 - loss: 58.3774 - logits_profile_predictions_loss: 57.9281 - logcount_predictions_loss: 0.4084 5/643 [..............................] - ETA: 3:07 - loss: 59.9474 - logits_profile_predictions_loss: 59.5131 - logcount_predictions_loss: 0.3948 6/643 [..............................] - ETA: 3:07 - loss: 59.5989 - logits_profile_predictions_loss: 59.1710 - logcount_predictions_loss: 0.3890 7/643 [..............................] - ETA: 3:06 - loss: 59.4271 - logits_profile_predictions_loss: 59.0151 - logcount_predictions_loss: 0.3746 8/643 [..............................] - ETA: 3:06 - loss: 58.3883 - logits_profile_predictions_loss: 57.9772 - logcount_predictions_loss: 0.3738 9/643 [..............................] - ETA: 3:06 - loss: 59.0025 - logits_profile_predictions_loss: 58.5861 - logcount_predictions_loss: 0.3785 10/643 [..............................] - ETA: 3:05 - loss: 59.1435 - logits_profile_predictions_loss: 58.7411 - logcount_predictions_loss: 0.3659 11/643 [..............................] - ETA: 3:05 - loss: 59.0368 - logits_profile_predictions_loss: 58.6355 - logcount_predictions_loss: 0.3648 12/643 [..............................] - ETA: 3:05 - loss: 59.4457 - logits_profile_predictions_loss: 59.0391 - logcount_predictions_loss: 0.3697 13/643 [..............................] - ETA: 3:05 - loss: 59.3322 - logits_profile_predictions_loss: 58.9222 - logcount_predictions_loss: 0.3727 14/643 [..............................] - ETA: 3:04 - loss: 58.9708 - logits_profile_predictions_loss: 58.5519 - logcount_predictions_loss: 0.3808 15/643 [..............................] - ETA: 3:04 - loss: 58.4847 - logits_profile_predictions_loss: 58.0606 - logcount_predictions_loss: 0.3855 16/643 [..............................] - ETA: 3:04 - loss: 57.8435 - logits_profile_predictions_loss: 57.4201 - logcount_predictions_loss: 0.3850 17/643 [..............................] - ETA: 3:03 - loss: 57.8590 - logits_profile_predictions_loss: 57.4384 - logcount_predictions_loss: 0.3823 18/643 [..............................] - ETA: 3:03 - loss: 58.4098 - 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ETA: 3:01 - loss: 57.3603 - logits_profile_predictions_loss: 56.9287 - logcount_predictions_loss: 0.3924 26/643 [>.............................] - ETA: 3:01 - loss: 56.9877 - logits_profile_predictions_loss: 56.5581 - logcount_predictions_loss: 0.3906 27/643 [>.............................] - ETA: 3:01 - loss: 56.9805 - logits_profile_predictions_loss: 56.5446 - logcount_predictions_loss: 0.3963 28/643 [>.............................] - ETA: 3:00 - loss: 56.6197 - logits_profile_predictions_loss: 56.1744 - logcount_predictions_loss: 0.4048 29/643 [>.............................] - ETA: 3:00 - loss: 56.7209 - logits_profile_predictions_loss: 56.2765 - logcount_predictions_loss: 0.4040 30/643 [>.............................] - ETA: 3:00 - loss: 56.8434 - logits_profile_predictions_loss: 56.3962 - logcount_predictions_loss: 0.4066 31/643 [>.............................] - ETA: 2:59 - loss: 56.6498 - logits_profile_predictions_loss: 56.2027 - logcount_predictions_loss: 0.4065 32/643 [>.............................] - ETA: 2:59 - loss: 56.5795 - logits_profile_predictions_loss: 56.1332 - logcount_predictions_loss: 0.4057 33/643 [>.............................] - ETA: 2:58 - loss: 56.6289 - logits_profile_predictions_loss: 56.1852 - logcount_predictions_loss: 0.4033 34/643 [>.............................] - ETA: 2:58 - loss: 56.6187 - logits_profile_predictions_loss: 56.1756 - logcount_predictions_loss: 0.4028 35/643 [>.............................] - ETA: 2:57 - loss: 56.7561 - logits_profile_predictions_loss: 56.3127 - logcount_predictions_loss: 0.4031 36/643 [>.............................] - ETA: 2:57 - loss: 56.7250 - logits_profile_predictions_loss: 56.2830 - logcount_predictions_loss: 0.4019 37/643 [>.............................] - ETA: 2:57 - loss: 56.8789 - logits_profile_predictions_loss: 56.4403 - logcount_predictions_loss: 0.3987 38/643 [>.............................] - ETA: 2:57 - loss: 56.8942 - logits_profile_predictions_loss: 56.4561 - logcount_predictions_loss: 0.3982 39/643 [>.............................] - ETA: 2:56 - loss: 56.8017 - logits_profile_predictions_loss: 56.3536 - logcount_predictions_loss: 0.4073 40/643 [>.............................] - ETA: 2:56 - loss: 56.7048 - logits_profile_predictions_loss: 56.2529 - logcount_predictions_loss: 0.4107 41/643 [>.............................] - ETA: 2:56 - loss: 56.9568 - logits_profile_predictions_loss: 56.5048 - logcount_predictions_loss: 0.4109 42/643 [>.............................] - ETA: 2:56 - loss: 57.0520 - logits_profile_predictions_loss: 56.5980 - logcount_predictions_loss: 0.4127 43/643 [=>............................] - ETA: 2:55 - loss: 56.8792 - logits_profile_predictions_loss: 56.4279 - logcount_predictions_loss: 0.4103 44/643 [=>............................] - ETA: 2:55 - loss: 56.8871 - logits_profile_predictions_loss: 56.4369 - logcount_predictions_loss: 0.4092 45/643 [=>............................] - ETA: 2:55 - loss: 56.7438 - 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ETA: 2:53 - loss: 56.9800 - logits_profile_predictions_loss: 56.5384 - logcount_predictions_loss: 0.4015 53/643 [=>............................] - ETA: 2:52 - loss: 57.0552 - logits_profile_predictions_loss: 56.6131 - logcount_predictions_loss: 0.4019 54/643 [=>............................] - ETA: 2:52 - loss: 57.1586 - logits_profile_predictions_loss: 56.7178 - logcount_predictions_loss: 0.4007 55/643 [=>............................] - ETA: 2:52 - loss: 57.0785 - logits_profile_predictions_loss: 56.6410 - logcount_predictions_loss: 0.3977 56/643 [=>............................] - ETA: 2:52 - loss: 57.0812 - logits_profile_predictions_loss: 56.6438 - logcount_predictions_loss: 0.3977 57/643 [=>............................] - ETA: 2:51 - loss: 57.4428 - logits_profile_predictions_loss: 57.0068 - logcount_predictions_loss: 0.3963 58/643 [=>............................] - ETA: 2:51 - loss: 57.3756 - logits_profile_predictions_loss: 56.9352 - logcount_predictions_loss: 0.4003 59/643 [=>............................] - ETA: 2:51 - loss: 57.3701 - logits_profile_predictions_loss: 56.9315 - logcount_predictions_loss: 0.3988 60/643 [=>............................] - ETA: 2:50 - loss: 57.4735 - logits_profile_predictions_loss: 57.0367 - logcount_predictions_loss: 0.3971 61/643 [=>............................] - ETA: 2:50 - loss: 57.3954 - logits_profile_predictions_loss: 56.9583 - logcount_predictions_loss: 0.3974 62/643 [=>............................] - ETA: 2:50 - loss: 57.4523 - logits_profile_predictions_loss: 57.0138 - logcount_predictions_loss: 0.3987 63/643 [=>............................] - ETA: 2:50 - loss: 57.5437 - logits_profile_predictions_loss: 57.1041 - logcount_predictions_loss: 0.3996 64/643 [=>............................] - ETA: 2:49 - loss: 57.4709 - logits_profile_predictions_loss: 57.0316 - logcount_predictions_loss: 0.3994 65/643 [==>...........................] - ETA: 2:49 - loss: 57.3624 - logits_profile_predictions_loss: 56.9235 - 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logits_profile_predictions_loss: 57.0282 - logcount_predictions_loss: 0.3972 73/643 [==>...........................] - ETA: 2:47 - loss: 57.3845 - logits_profile_predictions_loss: 56.9463 - logcount_predictions_loss: 0.3984 74/643 [==>...........................] - ETA: 2:46 - loss: 57.3540 - logits_profile_predictions_loss: 56.9161 - logcount_predictions_loss: 0.3981 75/643 [==>...........................] - ETA: 2:46 - loss: 57.3442 - logits_profile_predictions_loss: 56.9047 - logcount_predictions_loss: 0.3996 76/643 [==>...........................] - ETA: 2:46 - loss: 57.2109 - logits_profile_predictions_loss: 56.7710 - logcount_predictions_loss: 0.3999 77/643 [==>...........................] - ETA: 2:46 - loss: 57.1899 - logits_profile_predictions_loss: 56.7499 - logcount_predictions_loss: 0.4000 78/643 [==>...........................] - ETA: 2:45 - loss: 57.3199 - logits_profile_predictions_loss: 56.8801 - logcount_predictions_loss: 0.3998 79/643 [==>...........................] - ETA: 2:45 - loss: 57.3503 - logits_profile_predictions_loss: 56.9115 - logcount_predictions_loss: 0.3990 80/643 [==>...........................] - ETA: 2:45 - loss: 57.3147 - logits_profile_predictions_loss: 56.8761 - logcount_predictions_loss: 0.3987 81/643 [==>...........................] - ETA: 2:44 - loss: 57.3291 - logits_profile_predictions_loss: 56.8920 - logcount_predictions_loss: 0.3974 82/643 [==>...........................] - ETA: 2:44 - loss: 57.3095 - logits_profile_predictions_loss: 56.8729 - logcount_predictions_loss: 0.3969 83/643 [==>...........................] - ETA: 2:44 - loss: 57.3213 - logits_profile_predictions_loss: 56.8830 - logcount_predictions_loss: 0.3985 84/643 [==>...........................] - ETA: 2:44 - loss: 57.3743 - logits_profile_predictions_loss: 56.9350 - logcount_predictions_loss: 0.3993 85/643 [==>...........................] - ETA: 2:43 - loss: 57.4491 - logits_profile_predictions_loss: 57.0080 - logcount_predictions_loss: 0.4010 86/643 [===>..........................] - ETA: 2:43 - loss: 57.4264 - logits_profile_predictions_loss: 56.9867 - logcount_predictions_loss: 0.3998 87/643 [===>..........................] - ETA: 2:43 - loss: 57.5002 - logits_profile_predictions_loss: 57.0602 - logcount_predictions_loss: 0.4000 88/643 [===>..........................] - ETA: 2:42 - loss: 57.5248 - logits_profile_predictions_loss: 57.0852 - logcount_predictions_loss: 0.3997 89/643 [===>..........................] - ETA: 2:42 - loss: 57.4723 - logits_profile_predictions_loss: 57.0305 - logcount_predictions_loss: 0.4016 90/643 [===>..........................] - ETA: 2:42 - loss: 57.4552 - logits_profile_predictions_loss: 57.0135 - logcount_predictions_loss: 0.4016 91/643 [===>..........................] - ETA: 2:42 - loss: 57.4231 - logits_profile_predictions_loss: 56.9814 - logcount_predictions_loss: 0.4015 92/643 [===>..........................] - ETA: 2:41 - loss: 57.3598 - logits_profile_predictions_loss: 56.9182 - logcount_predictions_loss: 0.4014 93/643 [===>..........................] - ETA: 2:41 - loss: 57.3571 - logits_profile_predictions_loss: 56.9164 - logcount_predictions_loss: 0.4006 94/643 [===>..........................] - ETA: 2:41 - loss: 57.3723 - logits_profile_predictions_loss: 56.9311 - logcount_predictions_loss: 0.4011 95/643 [===>..........................] - ETA: 2:40 - loss: 57.4546 - logits_profile_predictions_loss: 57.0127 - logcount_predictions_loss: 0.4017 96/643 [===>..........................] - ETA: 2:40 - loss: 57.4853 - logits_profile_predictions_loss: 57.0435 - logcount_predictions_loss: 0.4017 97/643 [===>..........................] - ETA: 2:40 - loss: 57.5084 - logits_profile_predictions_loss: 57.0665 - logcount_predictions_loss: 0.4017 98/643 [===>..........................] - ETA: 2:40 - loss: 57.6059 - logits_profile_predictions_loss: 57.1646 - logcount_predictions_loss: 0.4012 99/643 [===>..........................] - ETA: 2:39 - loss: 57.6358 - logits_profile_predictions_loss: 57.1944 - logcount_predictions_loss: 0.4013 100/643 [===>..........................] - ETA: 2:39 - loss: 57.6541 - logits_profile_predictions_loss: 57.2128 - logcount_predictions_loss: 0.4012 101/643 [===>..........................] - ETA: 2:39 - loss: 57.6261 - logits_profile_predictions_loss: 57.1852 - logcount_predictions_loss: 0.4008 102/643 [===>..........................] - ETA: 2:38 - loss: 57.5315 - logits_profile_predictions_loss: 57.0909 - logcount_predictions_loss: 0.4005 103/643 [===>..........................] - ETA: 2:38 - loss: 57.4646 - logits_profile_predictions_loss: 57.0243 - logcount_predictions_loss: 0.4002 104/643 [===>..........................] - ETA: 2:38 - loss: 57.5645 - logits_profile_predictions_loss: 57.1237 - logcount_predictions_loss: 0.4007 105/643 [===>..........................] - ETA: 2:38 - loss: 57.5911 - logits_profile_predictions_loss: 57.1509 - logcount_predictions_loss: 0.4002 106/643 [===>..........................] - ETA: 2:37 - loss: 57.7060 - logits_profile_predictions_loss: 57.2670 - logcount_predictions_loss: 0.3991 107/643 [===>..........................] - ETA: 2:37 - loss: 57.7755 - logits_profile_predictions_loss: 57.3372 - logcount_predictions_loss: 0.3984 108/643 [====>.........................] - ETA: 2:37 - loss: 57.7446 - logits_profile_predictions_loss: 57.3065 - logcount_predictions_loss: 0.3983 109/643 [====>.........................] - ETA: 2:36 - loss: 57.6879 - logits_profile_predictions_loss: 57.2500 - logcount_predictions_loss: 0.3981 110/643 [====>.........................] - ETA: 2:36 - loss: 57.5976 - logits_profile_predictions_loss: 57.1592 - logcount_predictions_loss: 0.3986 111/643 [====>.........................] - ETA: 2:36 - loss: 57.5620 - logits_profile_predictions_loss: 57.1237 - logcount_predictions_loss: 0.3984 112/643 [====>.........................] - ETA: 2:35 - loss: 57.6081 - logits_profile_predictions_loss: 57.1695 - 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- ETA: 18s - loss: 57.2569 - logits_profile_predictions_loss: 56.8404 - logcount_predictions_loss: 0.3786 582/643 [==========================>...] - ETA: 18s - loss: 57.2552 - logits_profile_predictions_loss: 56.8387 - logcount_predictions_loss: 0.3786 583/643 [==========================>...] - ETA: 17s - loss: 57.2535 - logits_profile_predictions_loss: 56.8372 - logcount_predictions_loss: 0.3784 584/643 [==========================>...] - ETA: 17s - loss: 57.2662 - logits_profile_predictions_loss: 56.8501 - logcount_predictions_loss: 0.3783 585/643 [==========================>...] - ETA: 17s - loss: 57.2498 - logits_profile_predictions_loss: 56.8336 - logcount_predictions_loss: 0.3784 586/643 [==========================>...] - ETA: 16s - loss: 57.2396 - logits_profile_predictions_loss: 56.8236 - logcount_predictions_loss: 0.3782 587/643 [==========================>...] - ETA: 16s - loss: 57.2552 - logits_profile_predictions_loss: 56.8392 - logcount_predictions_loss: 0.3781 588/643 [==========================>...] - ETA: 16s - loss: 57.2637 - logits_profile_predictions_loss: 56.8479 - logcount_predictions_loss: 0.3780 589/643 [==========================>...] - ETA: 15s - loss: 57.2485 - logits_profile_predictions_loss: 56.8327 - logcount_predictions_loss: 0.3779 590/643 [==========================>...] - ETA: 15s - loss: 57.2389 - logits_profile_predictions_loss: 56.8233 - logcount_predictions_loss: 0.3778 591/643 [==========================>...] - ETA: 15s - loss: 57.2453 - logits_profile_predictions_loss: 56.8297 - logcount_predictions_loss: 0.3778 592/643 [==========================>...] - ETA: 15s - loss: 57.2499 - logits_profile_predictions_loss: 56.8344 - logcount_predictions_loss: 0.3778 593/643 [==========================>...] - ETA: 14s - loss: 57.2702 - logits_profile_predictions_loss: 56.8545 - logcount_predictions_loss: 0.3779 594/643 [==========================>...] - ETA: 14s - loss: 57.2829 - logits_profile_predictions_loss: 56.8674 - 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logits_profile_predictions_loss: 56.8581 - logcount_predictions_loss: 0.3780 602/643 [===========================>..] - ETA: 12s - loss: 57.2763 - logits_profile_predictions_loss: 56.8605 - logcount_predictions_loss: 0.3779 603/643 [===========================>..] - ETA: 11s - loss: 57.2748 - logits_profile_predictions_loss: 56.8591 - logcount_predictions_loss: 0.3779 604/643 [===========================>..] - ETA: 11s - loss: 57.2802 - logits_profile_predictions_loss: 56.8644 - logcount_predictions_loss: 0.3780 605/643 [===========================>..] - ETA: 11s - loss: 57.2791 - logits_profile_predictions_loss: 56.8633 - logcount_predictions_loss: 0.3780 606/643 [===========================>..] - ETA: 10s - loss: 57.2695 - logits_profile_predictions_loss: 56.8536 - logcount_predictions_loss: 0.3781 607/643 [===========================>..] - ETA: 10s - loss: 57.2724 - logits_profile_predictions_loss: 56.8563 - logcount_predictions_loss: 0.3783 608/643 [===========================>..] - ETA: 10s - loss: 57.2722 - logits_profile_predictions_loss: 56.8561 - logcount_predictions_loss: 0.3782 609/643 [===========================>..] - ETA: 10s - loss: 57.2626 - logits_profile_predictions_loss: 56.8467 - logcount_predictions_loss: 0.3781 610/643 [===========================>..] - ETA: 9s - loss: 57.2531 - logits_profile_predictions_loss: 56.8372 - logcount_predictions_loss: 0.3781  611/643 [===========================>..] - ETA: 9s - loss: 57.2651 - logits_profile_predictions_loss: 56.8493 - logcount_predictions_loss: 0.3780 612/643 [===========================>..] - ETA: 9s - loss: 57.2553 - logits_profile_predictions_loss: 56.8391 - logcount_predictions_loss: 0.3784 613/643 [===========================>..] - ETA: 8s - loss: 57.2562 - logits_profile_predictions_loss: 56.8400 - logcount_predictions_loss: 0.3783 614/643 [===========================>..] - ETA: 8s - loss: 57.2694 - logits_profile_predictions_loss: 56.8533 - logcount_predictions_loss: 0.3783 615/643 [===========================>..] - ETA: 8s - loss: 57.2584 - logits_profile_predictions_loss: 56.8423 - logcount_predictions_loss: 0.3782 616/643 [===========================>..] - ETA: 7s - loss: 57.2524 - logits_profile_predictions_loss: 56.8364 - logcount_predictions_loss: 0.3782 617/643 [===========================>..] - ETA: 7s - loss: 57.2467 - logits_profile_predictions_loss: 56.8309 - logcount_predictions_loss: 0.3781 618/643 [===========================>..] - ETA: 7s - loss: 57.2337 - logits_profile_predictions_loss: 56.8179 - logcount_predictions_loss: 0.3780 619/643 [===========================>..] - ETA: 7s - loss: 57.2159 - logits_profile_predictions_loss: 56.8002 - logcount_predictions_loss: 0.3780 620/643 [===========================>..] - ETA: 6s - loss: 57.2105 - logits_profile_predictions_loss: 56.7948 - logcount_predictions_loss: 0.3778 621/643 [===========================>..] - ETA: 6s - loss: 57.2210 - logits_profile_predictions_loss: 56.8053 - logcount_predictions_loss: 0.3779 622/643 [============================>.] - ETA: 6s - loss: 57.2219 - logits_profile_predictions_loss: 56.8063 - logcount_predictions_loss: 0.3778 623/643 [============================>.] - ETA: 5s - loss: 57.2150 - logits_profile_predictions_loss: 56.7992 - logcount_predictions_loss: 0.3780 624/643 [============================>.] - ETA: 5s - loss: 57.2187 - logits_profile_predictions_loss: 56.8031 - logcount_predictions_loss: 0.3779 625/643 [============================>.] - ETA: 5s - loss: 57.2206 - logits_profile_predictions_loss: 56.8050 - logcount_predictions_loss: 0.3777 626/643 [============================>.] - ETA: 5s - loss: 57.2271 - logits_profile_predictions_loss: 56.8116 - logcount_predictions_loss: 0.3777 627/643 [============================>.] - ETA: 4s - loss: 57.2229 - logits_profile_predictions_loss: 56.8076 - logcount_predictions_loss: 0.3776 628/643 [============================>.] - ETA: 4s - loss: 57.2207 - logits_profile_predictions_loss: 56.8055 - logcount_predictions_loss: 0.3774 629/643 [============================>.] - ETA: 4s - loss: 57.2081 - logits_profile_predictions_loss: 56.7929 - logcount_predictions_loss: 0.3774 630/643 [============================>.] - ETA: 3s - loss: 57.2075 - logits_profile_predictions_loss: 56.7923 - logcount_predictions_loss: 0.3775 631/643 [============================>.] - ETA: 3s - loss: 57.2084 - logits_profile_predictions_loss: 56.7934 - logcount_predictions_loss: 0.3773 632/643 [============================>.] - ETA: 3s - loss: 57.2088 - logits_profile_predictions_loss: 56.7938 - logcount_predictions_loss: 0.3773 633/643 [============================>.] - ETA: 2s - loss: 57.2112 - logits_profile_predictions_loss: 56.7962 - logcount_predictions_loss: 0.3773 634/643 [============================>.] - ETA: 2s - loss: 57.2185 - logits_profile_predictions_loss: 56.8034 - logcount_predictions_loss: 0.3774 635/643 [============================>.] - ETA: 2s - loss: 57.2071 - logits_profile_predictions_loss: 56.7919 - logcount_predictions_loss: 0.3774 636/643 [============================>.] - ETA: 2s - loss: 57.2121 - logits_profile_predictions_loss: 56.7969 - logcount_predictions_loss: 0.3775 637/643 [============================>.] - ETA: 1s - loss: 57.2112 - logits_profile_predictions_loss: 56.7961 - logcount_predictions_loss: 0.3774 638/643 [============================>.] - ETA: 1s - loss: 57.2265 - logits_profile_predictions_loss: 56.8112 - logcount_predictions_loss: 0.3775 639/643 [============================>.] - ETA: 1s - loss: 57.2261 - logits_profile_predictions_loss: 56.8109 - logcount_predictions_loss: 0.3774 640/643 [============================>.] - ETA: 0s - loss: 57.2261 - logits_profile_predictions_loss: 56.8106 - logcount_predictions_loss: 0.3777 641/643 [============================>.] - ETA: 0s - loss: 57.2195 - logits_profile_predictions_loss: 56.8039 - logcount_predictions_loss: 0.3778 642/643 [============================>.] - ETA: 0s - loss: 57.2304 - logits_profile_predictions_loss: 56.8149 - logcount_predictions_loss: 0.3777 643/643 [==============================] - ETA: 0s - loss: 57.2300 - logits_profile_predictions_loss: 56.8144 - logcount_predictions_loss: 0.3778 Epoch 7: val_loss did not improve from 54.33245  643/643 [==============================] - 200s 311ms/step - loss: 57.2300 - logits_profile_predictions_loss: 56.8144 - logcount_predictions_loss: 0.3778 - val_loss: 54.4147 - val_logits_profile_predictions_loss: 54.0428 - val_logcount_predictions_loss: 0.3381 Epoch 8/50 1/643 [..............................] - ETA: 3:17 - loss: 63.8779 - logits_profile_predictions_loss: 63.4345 - logcount_predictions_loss: 0.4030 2/643 [..............................] - ETA: 3:08 - loss: 62.4079 - logits_profile_predictions_loss: 61.9487 - logcount_predictions_loss: 0.4175 3/643 [..............................] - ETA: 3:07 - loss: 60.0914 - logits_profile_predictions_loss: 59.6344 - logcount_predictions_loss: 0.4154 4/643 [..............................] - ETA: 3:07 - loss: 58.4516 - logits_profile_predictions_loss: 58.0127 - logcount_predictions_loss: 0.3991 5/643 [..............................] - ETA: 3:07 - loss: 58.2584 - logits_profile_predictions_loss: 57.8429 - logcount_predictions_loss: 0.3778 6/643 [..............................] - ETA: 3:06 - loss: 59.3115 - logits_profile_predictions_loss: 58.9009 - logcount_predictions_loss: 0.3733 7/643 [..............................] - ETA: 3:06 - loss: 58.4250 - logits_profile_predictions_loss: 57.9946 - logcount_predictions_loss: 0.3913 8/643 [..............................] - ETA: 3:06 - loss: 59.6071 - logits_profile_predictions_loss: 59.1769 - logcount_predictions_loss: 0.3911 9/643 [..............................] - ETA: 3:05 - loss: 59.2506 - logits_profile_predictions_loss: 58.8095 - logcount_predictions_loss: 0.4010 10/643 [..............................] - ETA: 3:05 - loss: 58.5565 - 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ETA: 3:04 - loss: 56.9213 - logits_profile_predictions_loss: 56.5124 - logcount_predictions_loss: 0.3717 18/643 [..............................] - ETA: 3:04 - loss: 56.4120 - logits_profile_predictions_loss: 55.9962 - logcount_predictions_loss: 0.3780 19/643 [..............................] - ETA: 3:04 - loss: 56.1861 - logits_profile_predictions_loss: 55.7738 - logcount_predictions_loss: 0.3747 20/643 [..............................] - ETA: 3:03 - loss: 56.4018 - logits_profile_predictions_loss: 55.9914 - logcount_predictions_loss: 0.3731 21/643 [..............................] - ETA: 3:03 - loss: 56.6250 - logits_profile_predictions_loss: 56.2111 - logcount_predictions_loss: 0.3762 22/643 [>.............................] - ETA: 3:03 - loss: 56.7267 - logits_profile_predictions_loss: 56.3114 - logcount_predictions_loss: 0.3775 23/643 [>.............................] - ETA: 3:02 - loss: 56.6732 - logits_profile_predictions_loss: 56.2484 - logcount_predictions_loss: 0.3862 24/643 [>.............................] - ETA: 3:02 - loss: 56.5959 - logits_profile_predictions_loss: 56.1728 - logcount_predictions_loss: 0.3846 25/643 [>.............................] - ETA: 3:02 - loss: 56.2552 - logits_profile_predictions_loss: 55.8323 - logcount_predictions_loss: 0.3844 26/643 [>.............................] - ETA: 3:01 - loss: 56.2596 - logits_profile_predictions_loss: 55.8344 - logcount_predictions_loss: 0.3865 27/643 [>.............................] - ETA: 3:01 - loss: 56.3115 - logits_profile_predictions_loss: 55.8860 - logcount_predictions_loss: 0.3868 28/643 [>.............................] - ETA: 3:01 - loss: 56.3981 - logits_profile_predictions_loss: 55.9733 - logcount_predictions_loss: 0.3862 29/643 [>.............................] - ETA: 3:00 - loss: 56.3808 - logits_profile_predictions_loss: 55.9616 - logcount_predictions_loss: 0.3811 30/643 [>.............................] - ETA: 3:00 - loss: 56.4035 - logits_profile_predictions_loss: 55.9828 - 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logits_profile_predictions_loss: 55.6787 - logcount_predictions_loss: 0.3841 38/643 [>.............................] - ETA: 2:58 - loss: 55.9041 - logits_profile_predictions_loss: 55.4785 - logcount_predictions_loss: 0.3869 39/643 [>.............................] - ETA: 2:57 - loss: 56.0260 - logits_profile_predictions_loss: 55.6019 - logcount_predictions_loss: 0.3856 40/643 [>.............................] - ETA: 2:57 - loss: 56.0411 - logits_profile_predictions_loss: 55.6168 - logcount_predictions_loss: 0.3857 41/643 [>.............................] - ETA: 2:57 - loss: 56.1060 - logits_profile_predictions_loss: 55.6814 - logcount_predictions_loss: 0.3860 42/643 [>.............................] - ETA: 2:56 - loss: 56.1538 - logits_profile_predictions_loss: 55.7269 - logcount_predictions_loss: 0.3881 43/643 [=>............................] - ETA: 2:56 - loss: 56.1085 - logits_profile_predictions_loss: 55.6770 - logcount_predictions_loss: 0.3923 44/643 [=>............................] - ETA: 2:56 - loss: 56.2441 - logits_profile_predictions_loss: 55.8093 - logcount_predictions_loss: 0.3952 45/643 [=>............................] - ETA: 2:55 - loss: 56.1510 - logits_profile_predictions_loss: 55.7174 - logcount_predictions_loss: 0.3942 46/643 [=>............................] - ETA: 2:55 - loss: 56.2604 - logits_profile_predictions_loss: 55.8265 - logcount_predictions_loss: 0.3944 47/643 [=>............................] - ETA: 2:55 - loss: 56.2908 - logits_profile_predictions_loss: 55.8602 - logcount_predictions_loss: 0.3914 48/643 [=>............................] - ETA: 2:54 - loss: 56.5347 - logits_profile_predictions_loss: 56.1036 - logcount_predictions_loss: 0.3919 49/643 [=>............................] - ETA: 2:54 - loss: 56.7641 - logits_profile_predictions_loss: 56.3301 - logcount_predictions_loss: 0.3945 50/643 [=>............................] - ETA: 2:54 - loss: 56.6749 - logits_profile_predictions_loss: 56.2441 - logcount_predictions_loss: 0.3916 51/643 [=>............................] - ETA: 2:54 - loss: 56.8820 - logits_profile_predictions_loss: 56.4521 - logcount_predictions_loss: 0.3908 52/643 [=>............................] - ETA: 2:53 - loss: 56.7331 - logits_profile_predictions_loss: 56.3038 - logcount_predictions_loss: 0.3903 53/643 [=>............................] - ETA: 2:53 - loss: 56.8151 - logits_profile_predictions_loss: 56.3860 - logcount_predictions_loss: 0.3901 54/643 [=>............................] - ETA: 2:53 - loss: 56.6817 - logits_profile_predictions_loss: 56.2528 - logcount_predictions_loss: 0.3899 55/643 [=>............................] - ETA: 2:52 - loss: 56.6988 - logits_profile_predictions_loss: 56.2718 - logcount_predictions_loss: 0.3882 56/643 [=>............................] - ETA: 2:52 - loss: 56.7021 - logits_profile_predictions_loss: 56.2755 - logcount_predictions_loss: 0.3879 57/643 [=>............................] - ETA: 2:52 - loss: 56.5072 - logits_profile_predictions_loss: 56.0803 - logcount_predictions_loss: 0.3881 58/643 [=>............................] - ETA: 2:51 - loss: 56.4179 - logits_profile_predictions_loss: 55.9918 - logcount_predictions_loss: 0.3873 59/643 [=>............................] - ETA: 2:51 - loss: 56.2651 - logits_profile_predictions_loss: 55.8400 - logcount_predictions_loss: 0.3864 60/643 [=>............................] - ETA: 2:51 - loss: 56.3534 - logits_profile_predictions_loss: 55.9276 - logcount_predictions_loss: 0.3872 61/643 [=>............................] - ETA: 2:51 - loss: 56.4367 - logits_profile_predictions_loss: 56.0111 - logcount_predictions_loss: 0.3869 62/643 [=>............................] - ETA: 2:50 - loss: 56.3803 - logits_profile_predictions_loss: 55.9560 - logcount_predictions_loss: 0.3857 63/643 [=>............................] - ETA: 2:50 - loss: 56.4737 - logits_profile_predictions_loss: 56.0479 - logcount_predictions_loss: 0.3871 64/643 [=>............................] - ETA: 2:50 - loss: 56.5572 - logits_profile_predictions_loss: 56.1318 - logcount_predictions_loss: 0.3867 65/643 [==>...........................] - ETA: 2:49 - loss: 56.6353 - logits_profile_predictions_loss: 56.2090 - logcount_predictions_loss: 0.3875 66/643 [==>...........................] - ETA: 2:49 - loss: 56.6955 - logits_profile_predictions_loss: 56.2693 - logcount_predictions_loss: 0.3875 67/643 [==>...........................] - ETA: 2:49 - loss: 56.5853 - logits_profile_predictions_loss: 56.1590 - logcount_predictions_loss: 0.3875 68/643 [==>...........................] - ETA: 2:49 - loss: 56.6597 - logits_profile_predictions_loss: 56.2315 - logcount_predictions_loss: 0.3893 69/643 [==>...........................] - ETA: 2:48 - loss: 56.7547 - logits_profile_predictions_loss: 56.3255 - logcount_predictions_loss: 0.3902 70/643 [==>...........................] - ETA: 2:48 - loss: 56.8162 - logits_profile_predictions_loss: 56.3865 - logcount_predictions_loss: 0.3906 71/643 [==>...........................] - 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[============================>.] - ETA: 2s - loss: 57.0840 - logits_profile_predictions_loss: 56.6756 - logcount_predictions_loss: 0.3713 635/643 [============================>.] - ETA: 2s - loss: 57.0817 - logits_profile_predictions_loss: 56.6735 - logcount_predictions_loss: 0.3711 636/643 [============================>.] - ETA: 2s - loss: 57.0875 - logits_profile_predictions_loss: 56.6794 - logcount_predictions_loss: 0.3710 637/643 [============================>.] - ETA: 1s - loss: 57.0740 - logits_profile_predictions_loss: 56.6658 - logcount_predictions_loss: 0.3711 638/643 [============================>.] - ETA: 1s - loss: 57.0804 - logits_profile_predictions_loss: 56.6723 - logcount_predictions_loss: 0.3711 639/643 [============================>.] - ETA: 1s - loss: 57.0793 - logits_profile_predictions_loss: 56.6712 - logcount_predictions_loss: 0.3710 640/643 [============================>.] - ETA: 0s - loss: 57.0809 - logits_profile_predictions_loss: 56.6728 - logcount_predictions_loss: 0.3710 641/643 [============================>.] - ETA: 0s - loss: 57.0860 - logits_profile_predictions_loss: 56.6781 - logcount_predictions_loss: 0.3709 642/643 [============================>.] - ETA: 0s - loss: 57.0822 - logits_profile_predictions_loss: 56.6743 - logcount_predictions_loss: 0.3709 643/643 [==============================] - ETA: 0s - loss: 57.0802 - logits_profile_predictions_loss: 56.6723 - logcount_predictions_loss: 0.3708 Epoch 8: val_loss did not improve from 54.33245  643/643 [==============================] - 202s 314ms/step - loss: 57.0802 - logits_profile_predictions_loss: 56.6723 - logcount_predictions_loss: 0.3708 - val_loss: 54.6652 - val_logits_profile_predictions_loss: 54.3112 - val_logcount_predictions_loss: 0.3218 Epoch 9/50 1/643 [..............................] - ETA: 3:16 - loss: 53.3113 - logits_profile_predictions_loss: 53.0705 - logcount_predictions_loss: 0.2190 2/643 [..............................] - ETA: 3:08 - loss: 57.5058 - logits_profile_predictions_loss: 57.1860 - logcount_predictions_loss: 0.2908 3/643 [..............................] - ETA: 3:08 - loss: 59.1345 - logits_profile_predictions_loss: 58.7858 - logcount_predictions_loss: 0.3170 4/643 [..............................] - ETA: 3:07 - loss: 59.3874 - logits_profile_predictions_loss: 59.0289 - logcount_predictions_loss: 0.3259 5/643 [..............................] - ETA: 3:07 - loss: 56.8591 - logits_profile_predictions_loss: 56.4926 - logcount_predictions_loss: 0.3331 6/643 [..............................] - ETA: 3:06 - loss: 55.2370 - logits_profile_predictions_loss: 54.8599 - logcount_predictions_loss: 0.3428 7/643 [..............................] - ETA: 3:06 - loss: 55.6961 - logits_profile_predictions_loss: 55.3234 - logcount_predictions_loss: 0.3389 8/643 [..............................] - ETA: 3:06 - loss: 55.9364 - logits_profile_predictions_loss: 55.5777 - logcount_predictions_loss: 0.3261 9/643 [..............................] - ETA: 3:05 - loss: 55.6785 - logits_profile_predictions_loss: 55.3083 - logcount_predictions_loss: 0.3365 10/643 [..............................] - ETA: 3:05 - loss: 55.1062 - logits_profile_predictions_loss: 54.7336 - logcount_predictions_loss: 0.3387 11/643 [..............................] - ETA: 3:05 - loss: 55.0988 - logits_profile_predictions_loss: 54.7317 - logcount_predictions_loss: 0.3337 12/643 [..............................] - ETA: 3:05 - loss: 55.5951 - logits_profile_predictions_loss: 55.2262 - logcount_predictions_loss: 0.3354 13/643 [..............................] - ETA: 3:04 - loss: 55.4246 - logits_profile_predictions_loss: 55.0665 - logcount_predictions_loss: 0.3255 14/643 [..............................] - ETA: 3:04 - loss: 55.2252 - logits_profile_predictions_loss: 54.8715 - logcount_predictions_loss: 0.3215 15/643 [..............................] - ETA: 3:04 - loss: 55.6110 - logits_profile_predictions_loss: 55.2581 - logcount_predictions_loss: 0.3208 16/643 [..............................] - ETA: 3:03 - loss: 55.5510 - logits_profile_predictions_loss: 55.1901 - logcount_predictions_loss: 0.3281 17/643 [..............................] - ETA: 3:03 - loss: 55.5994 - logits_profile_predictions_loss: 55.2411 - logcount_predictions_loss: 0.3257 18/643 [..............................] - ETA: 3:03 - loss: 55.8853 - logits_profile_predictions_loss: 55.5256 - logcount_predictions_loss: 0.3270 19/643 [..............................] - ETA: 3:02 - loss: 55.6969 - logits_profile_predictions_loss: 55.3393 - logcount_predictions_loss: 0.3251 20/643 [..............................] - ETA: 3:02 - loss: 55.5074 - logits_profile_predictions_loss: 55.1514 - logcount_predictions_loss: 0.3237 21/643 [..............................] - ETA: 3:02 - loss: 55.4906 - logits_profile_predictions_loss: 55.1259 - logcount_predictions_loss: 0.3315 22/643 [>.............................] - ETA: 3:02 - loss: 55.6443 - logits_profile_predictions_loss: 55.2790 - logcount_predictions_loss: 0.3321 23/643 [>.............................] - ETA: 3:01 - loss: 55.3966 - logits_profile_predictions_loss: 55.0331 - logcount_predictions_loss: 0.3305 24/643 [>.............................] - ETA: 3:01 - loss: 55.4259 - logits_profile_predictions_loss: 55.0653 - logcount_predictions_loss: 0.3278 25/643 [>.............................] - ETA: 3:01 - loss: 55.8416 - logits_profile_predictions_loss: 55.4839 - logcount_predictions_loss: 0.3252 26/643 [>.............................] - ETA: 3:00 - loss: 55.7892 - logits_profile_predictions_loss: 55.4333 - logcount_predictions_loss: 0.3235 27/643 [>.............................] - ETA: 3:00 - loss: 56.0879 - logits_profile_predictions_loss: 55.7340 - logcount_predictions_loss: 0.3218 28/643 [>.............................] - ETA: 3:00 - loss: 55.9861 - logits_profile_predictions_loss: 55.6300 - logcount_predictions_loss: 0.3237 29/643 [>.............................] - ETA: 3:00 - loss: 56.1634 - logits_profile_predictions_loss: 55.8039 - logcount_predictions_loss: 0.3268 30/643 [>.............................] - ETA: 2:59 - loss: 55.8854 - logits_profile_predictions_loss: 55.5277 - logcount_predictions_loss: 0.3252 31/643 [>.............................] - ETA: 2:59 - loss: 55.9485 - logits_profile_predictions_loss: 55.5889 - logcount_predictions_loss: 0.3269 32/643 [>.............................] - ETA: 2:59 - loss: 55.8719 - logits_profile_predictions_loss: 55.5069 - logcount_predictions_loss: 0.3318 33/643 [>.............................] - ETA: 2:58 - loss: 55.7519 - logits_profile_predictions_loss: 55.3804 - logcount_predictions_loss: 0.3377 34/643 [>.............................] - ETA: 2:58 - loss: 56.0203 - logits_profile_predictions_loss: 55.6458 - logcount_predictions_loss: 0.3404 35/643 [>.............................] - ETA: 2:58 - loss: 56.0556 - logits_profile_predictions_loss: 55.6822 - logcount_predictions_loss: 0.3395 36/643 [>.............................] - ETA: 2:58 - loss: 55.9524 - logits_profile_predictions_loss: 55.5707 - logcount_predictions_loss: 0.3470 37/643 [>.............................] - ETA: 2:57 - loss: 56.0997 - logits_profile_predictions_loss: 55.7123 - logcount_predictions_loss: 0.3523 38/643 [>.............................] - ETA: 2:57 - loss: 56.0003 - logits_profile_predictions_loss: 55.6137 - logcount_predictions_loss: 0.3515 39/643 [>.............................] - ETA: 2:57 - loss: 55.9473 - logits_profile_predictions_loss: 55.5568 - logcount_predictions_loss: 0.3550 40/643 [>.............................] - ETA: 2:56 - loss: 55.8660 - logits_profile_predictions_loss: 55.4735 - logcount_predictions_loss: 0.3568 41/643 [>.............................] - ETA: 2:56 - loss: 55.7962 - logits_profile_predictions_loss: 55.4003 - logcount_predictions_loss: 0.3599 42/643 [>.............................] - ETA: 2:56 - loss: 55.7743 - logits_profile_predictions_loss: 55.3758 - logcount_predictions_loss: 0.3622 43/643 [=>............................] - ETA: 2:56 - loss: 55.9103 - logits_profile_predictions_loss: 55.5107 - logcount_predictions_loss: 0.3633 44/643 [=>............................] - ETA: 2:55 - loss: 55.7263 - logits_profile_predictions_loss: 55.3246 - logcount_predictions_loss: 0.3651 45/643 [=>............................] - ETA: 2:55 - loss: 55.7102 - logits_profile_predictions_loss: 55.3073 - logcount_predictions_loss: 0.3663 46/643 [=>............................] - ETA: 2:55 - loss: 55.5446 - logits_profile_predictions_loss: 55.1417 - logcount_predictions_loss: 0.3663 47/643 [=>............................] - ETA: 2:54 - loss: 55.7364 - logits_profile_predictions_loss: 55.3343 - logcount_predictions_loss: 0.3655 48/643 [=>............................] - ETA: 2:54 - loss: 55.7898 - logits_profile_predictions_loss: 55.3868 - logcount_predictions_loss: 0.3664 49/643 [=>............................] - ETA: 2:54 - loss: 56.1660 - logits_profile_predictions_loss: 55.7642 - logcount_predictions_loss: 0.3653 50/643 [=>............................] - ETA: 2:54 - loss: 56.0837 - logits_profile_predictions_loss: 55.6821 - logcount_predictions_loss: 0.3651 51/643 [=>............................] - ETA: 2:53 - loss: 56.1119 - logits_profile_predictions_loss: 55.7105 - logcount_predictions_loss: 0.3649 52/643 [=>............................] - ETA: 2:53 - loss: 56.3976 - logits_profile_predictions_loss: 55.9958 - logcount_predictions_loss: 0.3653 53/643 [=>............................] - ETA: 2:53 - loss: 56.3149 - logits_profile_predictions_loss: 55.9094 - logcount_predictions_loss: 0.3687 54/643 [=>............................] - ETA: 2:52 - loss: 56.2623 - logits_profile_predictions_loss: 55.8581 - logcount_predictions_loss: 0.3675 55/643 [=>............................] - ETA: 2:52 - loss: 56.3490 - logits_profile_predictions_loss: 55.9459 - logcount_predictions_loss: 0.3664 56/643 [=>............................] - ETA: 2:52 - loss: 56.4185 - logits_profile_predictions_loss: 56.0145 - logcount_predictions_loss: 0.3673 57/643 [=>............................] - ETA: 2:52 - loss: 56.4931 - logits_profile_predictions_loss: 56.0893 - logcount_predictions_loss: 0.3671 58/643 [=>............................] - ETA: 2:51 - loss: 56.4072 - logits_profile_predictions_loss: 56.0029 - logcount_predictions_loss: 0.3675 59/643 [=>............................] - ETA: 2:51 - loss: 56.5856 - logits_profile_predictions_loss: 56.1816 - logcount_predictions_loss: 0.3673 60/643 [=>............................] - ETA: 2:51 - loss: 56.4412 - logits_profile_predictions_loss: 56.0377 - logcount_predictions_loss: 0.3668 61/643 [=>............................] - ETA: 2:50 - loss: 56.3413 - logits_profile_predictions_loss: 55.9394 - logcount_predictions_loss: 0.3654 62/643 [=>............................] - ETA: 2:50 - loss: 56.4201 - logits_profile_predictions_loss: 56.0184 - logcount_predictions_loss: 0.3652 63/643 [=>............................] - ETA: 2:50 - loss: 56.3898 - logits_profile_predictions_loss: 55.9889 - logcount_predictions_loss: 0.3644 64/643 [=>............................] - ETA: 2:49 - loss: 56.5314 - logits_profile_predictions_loss: 56.1290 - logcount_predictions_loss: 0.3658 65/643 [==>...........................] - ETA: 2:49 - loss: 56.3885 - logits_profile_predictions_loss: 55.9873 - logcount_predictions_loss: 0.3648 66/643 [==>...........................] - ETA: 2:49 - loss: 56.5386 - logits_profile_predictions_loss: 56.1376 - logcount_predictions_loss: 0.3646 67/643 [==>...........................] - ETA: 2:49 - loss: 56.3850 - logits_profile_predictions_loss: 55.9840 - logcount_predictions_loss: 0.3646 68/643 [==>...........................] - ETA: 2:48 - loss: 56.3020 - logits_profile_predictions_loss: 55.8998 - logcount_predictions_loss: 0.3657 69/643 [==>...........................] - ETA: 2:48 - loss: 56.3765 - logits_profile_predictions_loss: 55.9761 - logcount_predictions_loss: 0.3640 70/643 [==>...........................] - ETA: 2:48 - loss: 56.3336 - logits_profile_predictions_loss: 55.9340 - logcount_predictions_loss: 0.3632 71/643 [==>...........................] - ETA: 2:47 - loss: 56.2861 - logits_profile_predictions_loss: 55.8878 - logcount_predictions_loss: 0.3621 72/643 [==>...........................] - ETA: 2:47 - loss: 56.1809 - logits_profile_predictions_loss: 55.7828 - logcount_predictions_loss: 0.3620 73/643 [==>...........................] - ETA: 2:47 - loss: 56.1891 - logits_profile_predictions_loss: 55.7900 - logcount_predictions_loss: 0.3629 74/643 [==>...........................] - ETA: 2:47 - loss: 56.1363 - logits_profile_predictions_loss: 55.7364 - logcount_predictions_loss: 0.3635 75/643 [==>...........................] - ETA: 2:46 - loss: 56.0846 - logits_profile_predictions_loss: 55.6856 - logcount_predictions_loss: 0.3627 76/643 [==>...........................] - ETA: 2:46 - loss: 56.0649 - logits_profile_predictions_loss: 55.6656 - logcount_predictions_loss: 0.3630 77/643 [==>...........................] - ETA: 2:46 - loss: 56.0306 - logits_profile_predictions_loss: 55.6299 - logcount_predictions_loss: 0.3642 78/643 [==>...........................] - ETA: 2:45 - loss: 56.0511 - logits_profile_predictions_loss: 55.6494 - logcount_predictions_loss: 0.3651 79/643 [==>...........................] - ETA: 2:45 - loss: 56.0604 - logits_profile_predictions_loss: 55.6594 - logcount_predictions_loss: 0.3645 80/643 [==>...........................] - ETA: 2:45 - loss: 56.0870 - logits_profile_predictions_loss: 55.6863 - logcount_predictions_loss: 0.3642 81/643 [==>...........................] - ETA: 2:45 - loss: 55.9999 - logits_profile_predictions_loss: 55.5981 - logcount_predictions_loss: 0.3653 82/643 [==>...........................] - ETA: 2:44 - loss: 56.0145 - logits_profile_predictions_loss: 55.6138 - logcount_predictions_loss: 0.3642 83/643 [==>...........................] - ETA: 2:44 - loss: 56.0782 - logits_profile_predictions_loss: 55.6793 - logcount_predictions_loss: 0.3626 84/643 [==>...........................] - ETA: 2:44 - loss: 56.0717 - logits_profile_predictions_loss: 55.6722 - logcount_predictions_loss: 0.3632 85/643 [==>...........................] - ETA: 2:43 - loss: 56.0312 - logits_profile_predictions_loss: 55.6320 - logcount_predictions_loss: 0.3629 86/643 [===>..........................] - ETA: 2:43 - loss: 56.2115 - logits_profile_predictions_loss: 55.8104 - logcount_predictions_loss: 0.3647 87/643 [===>..........................] - ETA: 2:43 - loss: 56.2384 - logits_profile_predictions_loss: 55.8378 - logcount_predictions_loss: 0.3642 88/643 [===>..........................] - ETA: 2:43 - loss: 56.2091 - logits_profile_predictions_loss: 55.8091 - logcount_predictions_loss: 0.3637 89/643 [===>..........................] - ETA: 2:42 - loss: 56.1840 - logits_profile_predictions_loss: 55.7848 - logcount_predictions_loss: 0.3629 90/643 [===>..........................] - ETA: 2:42 - loss: 56.3273 - logits_profile_predictions_loss: 55.9287 - logcount_predictions_loss: 0.3624 91/643 [===>..........................] - ETA: 2:42 - loss: 56.3430 - logits_profile_predictions_loss: 55.9427 - logcount_predictions_loss: 0.3638 92/643 [===>..........................] - ETA: 2:41 - loss: 56.3297 - logits_profile_predictions_loss: 55.9313 - logcount_predictions_loss: 0.3621 93/643 [===>..........................] - ETA: 2:41 - loss: 56.2932 - logits_profile_predictions_loss: 55.8964 - logcount_predictions_loss: 0.3607 94/643 [===>..........................] - ETA: 2:41 - loss: 56.2538 - logits_profile_predictions_loss: 55.8577 - logcount_predictions_loss: 0.3601 95/643 [===>..........................] - ETA: 2:40 - loss: 56.2435 - logits_profile_predictions_loss: 55.8465 - logcount_predictions_loss: 0.3609 96/643 [===>..........................] - ETA: 2:40 - loss: 56.1373 - logits_profile_predictions_loss: 55.7407 - logcount_predictions_loss: 0.3605 97/643 [===>..........................] - ETA: 2:40 - loss: 56.1321 - logits_profile_predictions_loss: 55.7357 - logcount_predictions_loss: 0.3603 98/643 [===>..........................] - ETA: 2:40 - loss: 56.0993 - logits_profile_predictions_loss: 55.7043 - logcount_predictions_loss: 0.3591 99/643 [===>..........................] - ETA: 2:39 - loss: 56.1418 - logits_profile_predictions_loss: 55.7465 - logcount_predictions_loss: 0.3593 100/643 [===>..........................] - ETA: 2:39 - loss: 56.1658 - logits_profile_predictions_loss: 55.7714 - logcount_predictions_loss: 0.3586 101/643 [===>..........................] - ETA: 2:39 - loss: 56.0782 - logits_profile_predictions_loss: 55.6838 - logcount_predictions_loss: 0.3585 102/643 [===>..........................] - ETA: 2:38 - loss: 56.1139 - logits_profile_predictions_loss: 55.7192 - logcount_predictions_loss: 0.3588 103/643 [===>..........................] - ETA: 2:38 - loss: 56.0722 - logits_profile_predictions_loss: 55.6780 - logcount_predictions_loss: 0.3584 104/643 [===>..........................] - ETA: 2:38 - loss: 56.1408 - logits_profile_predictions_loss: 55.7465 - logcount_predictions_loss: 0.3585 105/643 [===>..........................] - ETA: 2:38 - loss: 56.1537 - logits_profile_predictions_loss: 55.7605 - logcount_predictions_loss: 0.3574 106/643 [===>..........................] - ETA: 2:37 - loss: 56.1208 - logits_profile_predictions_loss: 55.7271 - logcount_predictions_loss: 0.3579 107/643 [===>..........................] - ETA: 2:37 - loss: 56.1423 - logits_profile_predictions_loss: 55.7480 - logcount_predictions_loss: 0.3584 108/643 [====>.........................] - ETA: 2:37 - loss: 56.1570 - logits_profile_predictions_loss: 55.7634 - logcount_predictions_loss: 0.3578 109/643 [====>.........................] - ETA: 2:36 - loss: 56.1139 - logits_profile_predictions_loss: 55.7210 - logcount_predictions_loss: 0.3572 110/643 [====>.........................] - ETA: 2:36 - loss: 56.1640 - logits_profile_predictions_loss: 55.7713 - logcount_predictions_loss: 0.3570 111/643 [====>.........................] - ETA: 2:36 - loss: 56.1484 - logits_profile_predictions_loss: 55.7557 - logcount_predictions_loss: 0.3570 112/643 [====>.........................] - ETA: 2:35 - loss: 56.0785 - logits_profile_predictions_loss: 55.6859 - logcount_predictions_loss: 0.3569 113/643 [====>.........................] - ETA: 2:35 - loss: 56.1691 - logits_profile_predictions_loss: 55.7762 - logcount_predictions_loss: 0.3572 114/643 [====>.........................] - ETA: 2:35 - loss: 56.1744 - logits_profile_predictions_loss: 55.7818 - logcount_predictions_loss: 0.3569 115/643 [====>.........................] - ETA: 2:35 - loss: 56.1876 - logits_profile_predictions_loss: 55.7943 - logcount_predictions_loss: 0.3576 116/643 [====>.........................] - ETA: 2:34 - loss: 56.2140 - logits_profile_predictions_loss: 55.8212 - logcount_predictions_loss: 0.3572 117/643 [====>.........................] - ETA: 2:34 - loss: 56.2067 - logits_profile_predictions_loss: 55.8147 - logcount_predictions_loss: 0.3564 118/643 [====>.........................] - ETA: 2:34 - loss: 56.1899 - logits_profile_predictions_loss: 55.7983 - logcount_predictions_loss: 0.3560 119/643 [====>.........................] - ETA: 2:33 - loss: 56.1186 - logits_profile_predictions_loss: 55.7272 - logcount_predictions_loss: 0.3558 120/643 [====>.........................] - ETA: 2:33 - loss: 56.1108 - logits_profile_predictions_loss: 55.7186 - logcount_predictions_loss: 0.3565 121/643 [====>.........................] - ETA: 2:33 - loss: 56.0384 - logits_profile_predictions_loss: 55.6465 - logcount_predictions_loss: 0.3562 122/643 [====>.........................] - ETA: 2:33 - loss: 56.0610 - logits_profile_predictions_loss: 55.6694 - logcount_predictions_loss: 0.3560 123/643 [====>.........................] - ETA: 2:32 - loss: 56.0771 - logits_profile_predictions_loss: 55.6854 - logcount_predictions_loss: 0.3561 124/643 [====>.........................] - ETA: 2:32 - loss: 56.1264 - logits_profile_predictions_loss: 55.7350 - logcount_predictions_loss: 0.3558 125/643 [====>.........................] - ETA: 2:32 - loss: 56.1581 - logits_profile_predictions_loss: 55.7668 - logcount_predictions_loss: 0.3558 126/643 [====>.........................] - ETA: 2:31 - loss: 56.0536 - logits_profile_predictions_loss: 55.6629 - logcount_predictions_loss: 0.3552 127/643 [====>.........................] - ETA: 2:31 - loss: 56.0837 - logits_profile_predictions_loss: 55.6926 - logcount_predictions_loss: 0.3555 128/643 [====>.........................] - ETA: 2:31 - loss: 56.1244 - logits_profile_predictions_loss: 55.7329 - logcount_predictions_loss: 0.3559 129/643 [=====>........................] - ETA: 2:31 - loss: 56.1138 - logits_profile_predictions_loss: 55.7226 - logcount_predictions_loss: 0.3556 130/643 [=====>........................] - ETA: 2:30 - loss: 56.1282 - logits_profile_predictions_loss: 55.7373 - logcount_predictions_loss: 0.3554 131/643 [=====>........................] - ETA: 2:30 - loss: 56.1642 - logits_profile_predictions_loss: 55.7730 - logcount_predictions_loss: 0.3556 132/643 [=====>........................] - ETA: 2:30 - loss: 56.1475 - logits_profile_predictions_loss: 55.7555 - logcount_predictions_loss: 0.3564 133/643 [=====>........................] - ETA: 2:29 - loss: 56.1273 - logits_profile_predictions_loss: 55.7358 - logcount_predictions_loss: 0.3559 134/643 [=====>........................] - ETA: 2:29 - loss: 56.0755 - logits_profile_predictions_loss: 55.6844 - logcount_predictions_loss: 0.3556 135/643 [=====>........................] - ETA: 2:29 - loss: 56.1031 - logits_profile_predictions_loss: 55.7117 - logcount_predictions_loss: 0.3558 136/643 [=====>........................] - ETA: 2:28 - loss: 56.0716 - logits_profile_predictions_loss: 55.6805 - 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- ETA: 17s - loss: 56.6801 - logits_profile_predictions_loss: 56.2813 - logcount_predictions_loss: 0.3626 586/643 [==========================>...] - ETA: 16s - loss: 56.6705 - logits_profile_predictions_loss: 56.2717 - logcount_predictions_loss: 0.3626 587/643 [==========================>...] - ETA: 16s - loss: 56.6724 - logits_profile_predictions_loss: 56.2737 - logcount_predictions_loss: 0.3625 588/643 [==========================>...] - ETA: 16s - loss: 56.6646 - logits_profile_predictions_loss: 56.2661 - logcount_predictions_loss: 0.3623 589/643 [==========================>...] - ETA: 15s - loss: 56.6547 - logits_profile_predictions_loss: 56.2562 - logcount_predictions_loss: 0.3623 590/643 [==========================>...] - ETA: 15s - loss: 56.6668 - logits_profile_predictions_loss: 56.2684 - logcount_predictions_loss: 0.3622 591/643 [==========================>...] - ETA: 15s - loss: 56.6732 - logits_profile_predictions_loss: 56.2747 - logcount_predictions_loss: 0.3623 592/643 [==========================>...] - ETA: 15s - loss: 56.6641 - logits_profile_predictions_loss: 56.2657 - logcount_predictions_loss: 0.3621 593/643 [==========================>...] - ETA: 14s - loss: 56.6623 - logits_profile_predictions_loss: 56.2640 - logcount_predictions_loss: 0.3621 594/643 [==========================>...] - ETA: 14s - loss: 56.6824 - logits_profile_predictions_loss: 56.2842 - logcount_predictions_loss: 0.3620 595/643 [==========================>...] - ETA: 14s - loss: 56.6832 - logits_profile_predictions_loss: 56.2851 - logcount_predictions_loss: 0.3619 596/643 [==========================>...] - ETA: 13s - loss: 56.6854 - logits_profile_predictions_loss: 56.2871 - logcount_predictions_loss: 0.3621 597/643 [==========================>...] - ETA: 13s - loss: 56.6695 - logits_profile_predictions_loss: 56.2711 - logcount_predictions_loss: 0.3621 598/643 [==========================>...] - ETA: 13s - loss: 56.6677 - logits_profile_predictions_loss: 56.2693 - 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logits_profile_predictions_loss: 56.2696 - logcount_predictions_loss: 0.3621 606/643 [===========================>..] - ETA: 10s - loss: 56.6770 - logits_profile_predictions_loss: 56.2786 - logcount_predictions_loss: 0.3622 607/643 [===========================>..] - ETA: 10s - loss: 56.6883 - logits_profile_predictions_loss: 56.2899 - logcount_predictions_loss: 0.3622 608/643 [===========================>..] - ETA: 10s - loss: 56.6909 - logits_profile_predictions_loss: 56.2927 - logcount_predictions_loss: 0.3620 609/643 [===========================>..] - ETA: 10s - loss: 56.6967 - logits_profile_predictions_loss: 56.2985 - logcount_predictions_loss: 0.3621 610/643 [===========================>..] - ETA: 9s - loss: 56.7179 - logits_profile_predictions_loss: 56.3196 - logcount_predictions_loss: 0.3621  611/643 [===========================>..] - ETA: 9s - loss: 56.7126 - logits_profile_predictions_loss: 56.3142 - logcount_predictions_loss: 0.3622 612/643 [===========================>..] - ETA: 9s - loss: 56.7105 - logits_profile_predictions_loss: 56.3121 - logcount_predictions_loss: 0.3622 613/643 [===========================>..] - ETA: 8s - loss: 56.7140 - logits_profile_predictions_loss: 56.3156 - logcount_predictions_loss: 0.3622 614/643 [===========================>..] - ETA: 8s - loss: 56.7133 - logits_profile_predictions_loss: 56.3151 - logcount_predictions_loss: 0.3620 615/643 [===========================>..] - ETA: 8s - loss: 56.7186 - logits_profile_predictions_loss: 56.3205 - logcount_predictions_loss: 0.3619 616/643 [===========================>..] - ETA: 7s - loss: 56.7286 - logits_profile_predictions_loss: 56.3306 - logcount_predictions_loss: 0.3618 617/643 [===========================>..] - ETA: 7s - loss: 56.7249 - logits_profile_predictions_loss: 56.3268 - logcount_predictions_loss: 0.3619 618/643 [===========================>..] - ETA: 7s - loss: 56.7147 - logits_profile_predictions_loss: 56.3166 - logcount_predictions_loss: 0.3619 619/643 [===========================>..] - ETA: 7s - loss: 56.7232 - logits_profile_predictions_loss: 56.3252 - logcount_predictions_loss: 0.3618 620/643 [===========================>..] - ETA: 6s - loss: 56.7169 - logits_profile_predictions_loss: 56.3190 - logcount_predictions_loss: 0.3617 621/643 [===========================>..] - ETA: 6s - loss: 56.7161 - logits_profile_predictions_loss: 56.3184 - logcount_predictions_loss: 0.3616 622/643 [============================>.] - ETA: 6s - loss: 56.7235 - logits_profile_predictions_loss: 56.3257 - logcount_predictions_loss: 0.3616 623/643 [============================>.] - ETA: 5s - loss: 56.7331 - logits_profile_predictions_loss: 56.3352 - logcount_predictions_loss: 0.3618 624/643 [============================>.] - ETA: 5s - loss: 56.7234 - logits_profile_predictions_loss: 56.3253 - logcount_predictions_loss: 0.3619 625/643 [============================>.] - ETA: 5s - loss: 56.7261 - logits_profile_predictions_loss: 56.3283 - logcount_predictions_loss: 0.3617 626/643 [============================>.] - ETA: 5s - loss: 56.7228 - logits_profile_predictions_loss: 56.3251 - logcount_predictions_loss: 0.3616 627/643 [============================>.] - ETA: 4s - loss: 56.7126 - logits_profile_predictions_loss: 56.3150 - logcount_predictions_loss: 0.3614 628/643 [============================>.] - ETA: 4s - loss: 56.7096 - logits_profile_predictions_loss: 56.3120 - logcount_predictions_loss: 0.3615 629/643 [============================>.] - ETA: 4s - loss: 56.7081 - logits_profile_predictions_loss: 56.3105 - logcount_predictions_loss: 0.3614 630/643 [============================>.] - ETA: 3s - loss: 56.7280 - logits_profile_predictions_loss: 56.3305 - logcount_predictions_loss: 0.3614 631/643 [============================>.] - ETA: 3s - loss: 56.7192 - logits_profile_predictions_loss: 56.3217 - logcount_predictions_loss: 0.3613 632/643 [============================>.] - ETA: 3s - loss: 56.7114 - logits_profile_predictions_loss: 56.3141 - logcount_predictions_loss: 0.3612 633/643 [============================>.] - ETA: 2s - loss: 56.7078 - logits_profile_predictions_loss: 56.3104 - logcount_predictions_loss: 0.3613 634/643 [============================>.] - ETA: 2s - loss: 56.7011 - logits_profile_predictions_loss: 56.3038 - logcount_predictions_loss: 0.3612 635/643 [============================>.] - ETA: 2s - loss: 56.7014 - logits_profile_predictions_loss: 56.3041 - logcount_predictions_loss: 0.3612 636/643 [============================>.] - ETA: 2s - loss: 56.6992 - logits_profile_predictions_loss: 56.3019 - logcount_predictions_loss: 0.3611 637/643 [============================>.] - ETA: 1s - loss: 56.7009 - logits_profile_predictions_loss: 56.3039 - logcount_predictions_loss: 0.3610 638/643 [============================>.] - ETA: 1s - loss: 56.6982 - logits_profile_predictions_loss: 56.3010 - logcount_predictions_loss: 0.3611 639/643 [============================>.] - ETA: 1s - loss: 56.7043 - logits_profile_predictions_loss: 56.3073 - logcount_predictions_loss: 0.3609 640/643 [============================>.] - ETA: 0s - loss: 56.7061 - logits_profile_predictions_loss: 56.3091 - logcount_predictions_loss: 0.3609 641/643 [============================>.] - ETA: 0s - loss: 56.7055 - logits_profile_predictions_loss: 56.3086 - logcount_predictions_loss: 0.3609 642/643 [============================>.] - ETA: 0s - loss: 56.7005 - logits_profile_predictions_loss: 56.3036 - logcount_predictions_loss: 0.3608 643/643 [==============================] - ETA: 0s - loss: 56.6973 - logits_profile_predictions_loss: 56.3003 - logcount_predictions_loss: 0.3609 Epoch 9: val_loss did not improve from 54.33245  643/643 [==============================] - 200s 312ms/step - loss: 56.6973 - logits_profile_predictions_loss: 56.3003 - logcount_predictions_loss: 0.3609 - val_loss: 54.7709 - val_logits_profile_predictions_loss: 54.4146 - val_logcount_predictions_loss: 0.3239 Epoch 10/50 1/643 [..............................] - ETA: 3:19 - loss: 61.2332 - logits_profile_predictions_loss: 60.8976 - logcount_predictions_loss: 0.3051 2/643 [..............................] - ETA: 3:08 - loss: 59.3513 - logits_profile_predictions_loss: 59.0494 - logcount_predictions_loss: 0.2745 3/643 [..............................] - ETA: 3:08 - loss: 56.5800 - logits_profile_predictions_loss: 56.2398 - logcount_predictions_loss: 0.3093 4/643 [..............................] - ETA: 3:07 - loss: 57.8944 - logits_profile_predictions_loss: 57.5630 - logcount_predictions_loss: 0.3013 5/643 [..............................] - ETA: 3:07 - loss: 57.5305 - logits_profile_predictions_loss: 57.1992 - logcount_predictions_loss: 0.3011 6/643 [..............................] - ETA: 3:07 - loss: 57.3001 - logits_profile_predictions_loss: 56.9469 - logcount_predictions_loss: 0.3211 7/643 [..............................] - ETA: 3:06 - loss: 58.8161 - logits_profile_predictions_loss: 58.4782 - logcount_predictions_loss: 0.3072 8/643 [..............................] - ETA: 3:06 - loss: 57.7945 - logits_profile_predictions_loss: 57.4552 - logcount_predictions_loss: 0.3085 9/643 [..............................] - ETA: 3:06 - loss: 57.4552 - logits_profile_predictions_loss: 57.1197 - logcount_predictions_loss: 0.3051 10/643 [..............................] - ETA: 3:05 - loss: 57.1176 - logits_profile_predictions_loss: 56.7908 - logcount_predictions_loss: 0.2971 11/643 [..............................] - ETA: 3:05 - loss: 56.4336 - logits_profile_predictions_loss: 56.1039 - logcount_predictions_loss: 0.2997 12/643 [..............................] - ETA: 3:05 - loss: 55.6708 - logits_profile_predictions_loss: 55.3396 - logcount_predictions_loss: 0.3012 13/643 [..............................] - ETA: 3:04 - loss: 56.1166 - logits_profile_predictions_loss: 55.7693 - logcount_predictions_loss: 0.3157 14/643 [..............................] - ETA: 3:04 - loss: 56.3524 - logits_profile_predictions_loss: 56.0073 - logcount_predictions_loss: 0.3137 15/643 [..............................] - ETA: 3:04 - loss: 56.4049 - logits_profile_predictions_loss: 56.0579 - logcount_predictions_loss: 0.3155 16/643 [..............................] - ETA: 3:04 - loss: 56.6070 - logits_profile_predictions_loss: 56.2563 - logcount_predictions_loss: 0.3188 17/643 [..............................] - ETA: 3:03 - loss: 56.4910 - logits_profile_predictions_loss: 56.1450 - logcount_predictions_loss: 0.3145 18/643 [..............................] - ETA: 3:03 - loss: 56.1882 - logits_profile_predictions_loss: 55.8460 - logcount_predictions_loss: 0.3110 19/643 [..............................] - ETA: 3:03 - loss: 56.4868 - logits_profile_predictions_loss: 56.1481 - logcount_predictions_loss: 0.3079 20/643 [..............................] - ETA: 3:02 - loss: 56.7495 - logits_profile_predictions_loss: 56.4081 - logcount_predictions_loss: 0.3104 21/643 [..............................] - ETA: 3:02 - loss: 56.5857 - logits_profile_predictions_loss: 56.2462 - logcount_predictions_loss: 0.3087 22/643 [>.............................] - ETA: 3:02 - loss: 56.4223 - logits_profile_predictions_loss: 56.0823 - logcount_predictions_loss: 0.3091 23/643 [>.............................] - ETA: 3:02 - loss: 56.2930 - logits_profile_predictions_loss: 55.9525 - logcount_predictions_loss: 0.3096 24/643 [>.............................] - ETA: 3:01 - loss: 56.2474 - logits_profile_predictions_loss: 55.9030 - logcount_predictions_loss: 0.3131 25/643 [>.............................] - ETA: 3:01 - loss: 56.0887 - logits_profile_predictions_loss: 55.7436 - logcount_predictions_loss: 0.3138 26/643 [>.............................] - ETA: 3:01 - loss: 55.9261 - logits_profile_predictions_loss: 55.5812 - logcount_predictions_loss: 0.3135 27/643 [>.............................] - ETA: 3:00 - loss: 55.9255 - logits_profile_predictions_loss: 55.5762 - logcount_predictions_loss: 0.3175 28/643 [>.............................] - ETA: 3:00 - loss: 55.7034 - logits_profile_predictions_loss: 55.3544 - logcount_predictions_loss: 0.3172 29/643 [>.............................] - ETA: 3:00 - loss: 55.8733 - logits_profile_predictions_loss: 55.5266 - logcount_predictions_loss: 0.3152 30/643 [>.............................] - ETA: 3:00 - loss: 56.0585 - logits_profile_predictions_loss: 55.7118 - logcount_predictions_loss: 0.3151 31/643 [>.............................] - ETA: 2:59 - loss: 56.1877 - logits_profile_predictions_loss: 55.8411 - logcount_predictions_loss: 0.3151 32/643 [>.............................] - ETA: 2:59 - loss: 56.0316 - logits_profile_predictions_loss: 55.6809 - logcount_predictions_loss: 0.3188 33/643 [>.............................] - ETA: 2:59 - loss: 56.0375 - logits_profile_predictions_loss: 55.6855 - logcount_predictions_loss: 0.3200 34/643 [>.............................] - ETA: 2:58 - loss: 55.9062 - logits_profile_predictions_loss: 55.5555 - logcount_predictions_loss: 0.3188 35/643 [>.............................] - ETA: 2:58 - loss: 55.9756 - logits_profile_predictions_loss: 55.6221 - logcount_predictions_loss: 0.3214 36/643 [>.............................] - ETA: 2:58 - loss: 56.2826 - logits_profile_predictions_loss: 55.9319 - logcount_predictions_loss: 0.3189 37/643 [>.............................] - ETA: 2:58 - loss: 56.3266 - logits_profile_predictions_loss: 55.9773 - logcount_predictions_loss: 0.3176 38/643 [>.............................] - ETA: 2:57 - loss: 56.3468 - logits_profile_predictions_loss: 55.9991 - logcount_predictions_loss: 0.3160 39/643 [>.............................] - ETA: 2:57 - loss: 56.2771 - logits_profile_predictions_loss: 55.9307 - logcount_predictions_loss: 0.3150 40/643 [>.............................] - ETA: 2:57 - loss: 56.2145 - logits_profile_predictions_loss: 55.8695 - logcount_predictions_loss: 0.3137 41/643 [>.............................] - ETA: 2:56 - loss: 56.2183 - logits_profile_predictions_loss: 55.8734 - logcount_predictions_loss: 0.3135 42/643 [>.............................] - ETA: 2:56 - loss: 56.1661 - logits_profile_predictions_loss: 55.8217 - logcount_predictions_loss: 0.3131 43/643 [=>............................] - ETA: 2:56 - loss: 56.1330 - logits_profile_predictions_loss: 55.7880 - logcount_predictions_loss: 0.3136 44/643 [=>............................] - ETA: 2:56 - loss: 56.2296 - logits_profile_predictions_loss: 55.8845 - logcount_predictions_loss: 0.3138 45/643 [=>............................] - ETA: 2:55 - loss: 56.3340 - logits_profile_predictions_loss: 55.9888 - logcount_predictions_loss: 0.3138 46/643 [=>............................] - ETA: 2:55 - loss: 56.4752 - logits_profile_predictions_loss: 56.1303 - logcount_predictions_loss: 0.3136 47/643 [=>............................] - ETA: 2:55 - loss: 56.3323 - logits_profile_predictions_loss: 55.9873 - logcount_predictions_loss: 0.3136 48/643 [=>............................] - ETA: 2:54 - loss: 56.5226 - logits_profile_predictions_loss: 56.1749 - logcount_predictions_loss: 0.3161 49/643 [=>............................] - ETA: 2:54 - loss: 56.6122 - logits_profile_predictions_loss: 56.2631 - logcount_predictions_loss: 0.3174 50/643 [=>............................] - ETA: 2:54 - loss: 56.5304 - logits_profile_predictions_loss: 56.1789 - logcount_predictions_loss: 0.3196 51/643 [=>............................] - ETA: 2:53 - loss: 56.4958 - logits_profile_predictions_loss: 56.1427 - logcount_predictions_loss: 0.3210 52/643 [=>............................] - ETA: 2:53 - loss: 56.6032 - logits_profile_predictions_loss: 56.2485 - logcount_predictions_loss: 0.3225 53/643 [=>............................] - ETA: 2:53 - loss: 56.5105 - logits_profile_predictions_loss: 56.1581 - logcount_predictions_loss: 0.3204 54/643 [=>............................] - ETA: 2:53 - loss: 56.2466 - logits_profile_predictions_loss: 55.8949 - logcount_predictions_loss: 0.3197 55/643 [=>............................] - ETA: 2:52 - loss: 56.2035 - logits_profile_predictions_loss: 55.8484 - logcount_predictions_loss: 0.3229 56/643 [=>............................] - ETA: 2:52 - loss: 56.1366 - logits_profile_predictions_loss: 55.7816 - logcount_predictions_loss: 0.3228 57/643 [=>............................] - ETA: 2:52 - loss: 56.0682 - logits_profile_predictions_loss: 55.7134 - logcount_predictions_loss: 0.3225 58/643 [=>............................] - ETA: 2:51 - loss: 56.0382 - logits_profile_predictions_loss: 55.6811 - logcount_predictions_loss: 0.3246 59/643 [=>............................] - ETA: 2:51 - loss: 56.1513 - logits_profile_predictions_loss: 55.7904 - logcount_predictions_loss: 0.3281 60/643 [=>............................] - ETA: 2:51 - loss: 56.0989 - logits_profile_predictions_loss: 55.7357 - logcount_predictions_loss: 0.3301 61/643 [=>............................] - ETA: 2:51 - loss: 56.2345 - logits_profile_predictions_loss: 55.8721 - logcount_predictions_loss: 0.3294 62/643 [=>............................] - ETA: 2:50 - loss: 56.0673 - logits_profile_predictions_loss: 55.7052 - logcount_predictions_loss: 0.3292 63/643 [=>............................] - ETA: 2:50 - loss: 56.0665 - logits_profile_predictions_loss: 55.7041 - logcount_predictions_loss: 0.3294 64/643 [=>............................] - ETA: 2:50 - loss: 56.0275 - logits_profile_predictions_loss: 55.6648 - logcount_predictions_loss: 0.3298 65/643 [==>...........................] - ETA: 2:49 - loss: 56.0317 - logits_profile_predictions_loss: 55.6677 - logcount_predictions_loss: 0.3309 66/643 [==>...........................] - ETA: 2:49 - loss: 55.9444 - logits_profile_predictions_loss: 55.5800 - logcount_predictions_loss: 0.3312 67/643 [==>...........................] - ETA: 2:49 - loss: 55.9744 - logits_profile_predictions_loss: 55.6101 - logcount_predictions_loss: 0.3311 68/643 [==>...........................] - ETA: 2:48 - loss: 55.9889 - logits_profile_predictions_loss: 55.6256 - logcount_predictions_loss: 0.3303 69/643 [==>...........................] - ETA: 2:48 - loss: 55.9613 - logits_profile_predictions_loss: 55.5986 - logcount_predictions_loss: 0.3298 70/643 [==>...........................] - ETA: 2:48 - loss: 55.8626 - logits_profile_predictions_loss: 55.4993 - logcount_predictions_loss: 0.3302 71/643 [==>...........................] - ETA: 2:48 - loss: 55.7923 - logits_profile_predictions_loss: 55.4281 - logcount_predictions_loss: 0.3311 72/643 [==>...........................] - ETA: 2:47 - loss: 55.8431 - logits_profile_predictions_loss: 55.4777 - logcount_predictions_loss: 0.3322 73/643 [==>...........................] - ETA: 2:47 - loss: 55.8646 - logits_profile_predictions_loss: 55.4998 - logcount_predictions_loss: 0.3316 74/643 [==>...........................] - ETA: 2:47 - loss: 55.8716 - logits_profile_predictions_loss: 55.5072 - logcount_predictions_loss: 0.3313 75/643 [==>...........................] - ETA: 2:46 - loss: 55.7715 - logits_profile_predictions_loss: 55.4072 - logcount_predictions_loss: 0.3312 76/643 [==>...........................] - ETA: 2:46 - loss: 55.7801 - logits_profile_predictions_loss: 55.4146 - logcount_predictions_loss: 0.3323 77/643 [==>...........................] - ETA: 2:46 - loss: 55.7905 - logits_profile_predictions_loss: 55.4251 - logcount_predictions_loss: 0.3323 78/643 [==>...........................] - ETA: 2:46 - loss: 55.8402 - logits_profile_predictions_loss: 55.4751 - logcount_predictions_loss: 0.3319 79/643 [==>...........................] - ETA: 2:45 - loss: 55.8892 - logits_profile_predictions_loss: 55.5257 - logcount_predictions_loss: 0.3305 80/643 [==>...........................] - ETA: 2:45 - loss: 55.8288 - logits_profile_predictions_loss: 55.4651 - logcount_predictions_loss: 0.3306 81/643 [==>...........................] - ETA: 2:45 - loss: 55.8716 - logits_profile_predictions_loss: 55.5066 - logcount_predictions_loss: 0.3318 82/643 [==>...........................] - ETA: 2:44 - loss: 55.9651 - logits_profile_predictions_loss: 55.6007 - logcount_predictions_loss: 0.3313 83/643 [==>...........................] - ETA: 2:44 - loss: 55.9847 - logits_profile_predictions_loss: 55.6214 - logcount_predictions_loss: 0.3303 84/643 [==>...........................] - ETA: 2:44 - loss: 56.0576 - logits_profile_predictions_loss: 55.6947 - logcount_predictions_loss: 0.3299 85/643 [==>...........................] - ETA: 2:44 - loss: 56.0594 - logits_profile_predictions_loss: 55.6958 - logcount_predictions_loss: 0.3306 86/643 [===>..........................] - ETA: 2:43 - loss: 56.2205 - logits_profile_predictions_loss: 55.8568 - logcount_predictions_loss: 0.3307 87/643 [===>..........................] - ETA: 2:43 - loss: 56.2207 - logits_profile_predictions_loss: 55.8571 - logcount_predictions_loss: 0.3306 88/643 [===>..........................] - ETA: 2:43 - loss: 56.1842 - logits_profile_predictions_loss: 55.8209 - 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5s - loss: 56.2144 - logits_profile_predictions_loss: 55.8290 - logcount_predictions_loss: 0.3504 625/643 [============================>.] - ETA: 5s - loss: 56.2049 - logits_profile_predictions_loss: 55.8195 - logcount_predictions_loss: 0.3504 626/643 [============================>.] - ETA: 5s - loss: 56.2050 - logits_profile_predictions_loss: 55.8197 - logcount_predictions_loss: 0.3503 627/643 [============================>.] - ETA: 4s - loss: 56.1970 - logits_profile_predictions_loss: 55.8116 - logcount_predictions_loss: 0.3504 628/643 [============================>.] - ETA: 4s - loss: 56.2115 - logits_profile_predictions_loss: 55.8262 - logcount_predictions_loss: 0.3503 629/643 [============================>.] - ETA: 4s - loss: 56.2142 - logits_profile_predictions_loss: 55.8288 - logcount_predictions_loss: 0.3504 630/643 [============================>.] - ETA: 3s - loss: 56.2054 - logits_profile_predictions_loss: 55.8199 - logcount_predictions_loss: 0.3504 631/643 [============================>.] - ETA: 3s - loss: 56.1993 - logits_profile_predictions_loss: 55.8137 - logcount_predictions_loss: 0.3505 632/643 [============================>.] - ETA: 3s - loss: 56.2055 - logits_profile_predictions_loss: 55.8200 - logcount_predictions_loss: 0.3504 633/643 [============================>.] - ETA: 2s - loss: 56.2207 - logits_profile_predictions_loss: 55.8354 - logcount_predictions_loss: 0.3503 634/643 [============================>.] - ETA: 2s - loss: 56.2291 - logits_profile_predictions_loss: 55.8441 - logcount_predictions_loss: 0.3500 635/643 [============================>.] - ETA: 2s - loss: 56.2149 - logits_profile_predictions_loss: 55.8300 - logcount_predictions_loss: 0.3499 636/643 [============================>.] - ETA: 2s - loss: 56.2083 - logits_profile_predictions_loss: 55.8234 - logcount_predictions_loss: 0.3499 637/643 [============================>.] - ETA: 1s - loss: 56.1979 - logits_profile_predictions_loss: 55.8131 - logcount_predictions_loss: 0.3498 638/643 [============================>.] - ETA: 1s - loss: 56.2068 - logits_profile_predictions_loss: 55.8220 - logcount_predictions_loss: 0.3498 639/643 [============================>.] - ETA: 1s - loss: 56.2151 - logits_profile_predictions_loss: 55.8302 - logcount_predictions_loss: 0.3499 640/643 [============================>.] - ETA: 0s - loss: 56.2242 - logits_profile_predictions_loss: 55.8392 - logcount_predictions_loss: 0.3499 641/643 [============================>.] - ETA: 0s - loss: 56.2179 - logits_profile_predictions_loss: 55.8330 - logcount_predictions_loss: 0.3500 642/643 [============================>.] - ETA: 0s - loss: 56.2039 - logits_profile_predictions_loss: 55.8190 - logcount_predictions_loss: 0.3499 643/643 [==============================] - ETA: 0s - loss: 56.1897 - logits_profile_predictions_loss: 55.8047 - logcount_predictions_loss: 0.3500 Epoch 10: val_loss did not improve from 54.33245  643/643 [==============================] - 200s 311ms/step - loss: 56.1897 - logits_profile_predictions_loss: 55.8047 - logcount_predictions_loss: 0.3500 - val_loss: 54.9325 - val_logits_profile_predictions_loss: 54.5847 - val_logcount_predictions_loss: 0.3162 Epoch 11/50 1/643 [..............................] - ETA: 3:16 - loss: 50.1490 - logits_profile_predictions_loss: 49.8777 - logcount_predictions_loss: 0.2466 2/643 [..............................] - ETA: 3:07 - loss: 49.3419 - logits_profile_predictions_loss: 49.0869 - logcount_predictions_loss: 0.2319 3/643 [..............................] - ETA: 3:07 - loss: 51.5735 - logits_profile_predictions_loss: 51.2598 - logcount_predictions_loss: 0.2852 4/643 [..............................] - ETA: 3:07 - loss: 50.0511 - logits_profile_predictions_loss: 49.7144 - logcount_predictions_loss: 0.3061 5/643 [..............................] - ETA: 3:06 - loss: 50.5797 - logits_profile_predictions_loss: 50.2272 - logcount_predictions_loss: 0.3205 6/643 [..............................] - ETA: 3:06 - loss: 51.5886 - logits_profile_predictions_loss: 51.2413 - logcount_predictions_loss: 0.3157 7/643 [..............................] - ETA: 3:06 - loss: 52.4629 - logits_profile_predictions_loss: 52.0988 - logcount_predictions_loss: 0.3310 8/643 [..............................] - ETA: 3:06 - loss: 52.7932 - logits_profile_predictions_loss: 52.4367 - logcount_predictions_loss: 0.3241 9/643 [..............................] - ETA: 3:05 - loss: 52.5997 - logits_profile_predictions_loss: 52.2282 - logcount_predictions_loss: 0.3377 10/643 [..............................] - ETA: 3:05 - loss: 52.9252 - logits_profile_predictions_loss: 52.5553 - logcount_predictions_loss: 0.3363 11/643 [..............................] - ETA: 3:05 - loss: 53.1364 - logits_profile_predictions_loss: 52.7693 - logcount_predictions_loss: 0.3338 12/643 [..............................] - ETA: 3:04 - loss: 52.8724 - logits_profile_predictions_loss: 52.5068 - logcount_predictions_loss: 0.3323 13/643 [..............................] - ETA: 3:04 - loss: 53.6457 - logits_profile_predictions_loss: 53.2816 - logcount_predictions_loss: 0.3310 14/643 [..............................] - ETA: 3:04 - loss: 53.4990 - logits_profile_predictions_loss: 53.1289 - logcount_predictions_loss: 0.3364 15/643 [..............................] - ETA: 3:04 - loss: 53.6878 - logits_profile_predictions_loss: 53.3138 - logcount_predictions_loss: 0.3400 16/643 [..............................] - ETA: 3:03 - loss: 54.2715 - logits_profile_predictions_loss: 53.8907 - logcount_predictions_loss: 0.3462 17/643 [..............................] - ETA: 3:03 - loss: 54.0785 - logits_profile_predictions_loss: 53.7013 - logcount_predictions_loss: 0.3429 18/643 [..............................] - ETA: 3:03 - loss: 54.2736 - logits_profile_predictions_loss: 53.9021 - logcount_predictions_loss: 0.3378 19/643 [..............................] - ETA: 3:02 - loss: 54.2167 - logits_profile_predictions_loss: 53.8487 - 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logits_profile_predictions_loss: 55.1898 - logcount_predictions_loss: 0.3497 610/643 [===========================>..] - ETA: 9s - loss: 55.5738 - logits_profile_predictions_loss: 55.1893 - logcount_predictions_loss: 0.3496  611/643 [===========================>..] - ETA: 9s - loss: 55.5745 - logits_profile_predictions_loss: 55.1901 - logcount_predictions_loss: 0.3495 612/643 [===========================>..] - ETA: 9s - loss: 55.5949 - logits_profile_predictions_loss: 55.2105 - logcount_predictions_loss: 0.3494 613/643 [===========================>..] - ETA: 8s - loss: 55.5809 - logits_profile_predictions_loss: 55.1965 - logcount_predictions_loss: 0.3495 614/643 [===========================>..] - ETA: 8s - loss: 55.5744 - logits_profile_predictions_loss: 55.1899 - logcount_predictions_loss: 0.3496 615/643 [===========================>..] - ETA: 8s - loss: 55.5857 - logits_profile_predictions_loss: 55.2012 - logcount_predictions_loss: 0.3496 616/643 [===========================>..] - ETA: 7s - loss: 55.5914 - logits_profile_predictions_loss: 55.2070 - logcount_predictions_loss: 0.3495 617/643 [===========================>..] - ETA: 7s - loss: 55.5845 - logits_profile_predictions_loss: 55.2001 - logcount_predictions_loss: 0.3495 618/643 [===========================>..] - ETA: 7s - loss: 55.5980 - logits_profile_predictions_loss: 55.2136 - logcount_predictions_loss: 0.3495 619/643 [===========================>..] - ETA: 7s - loss: 55.6112 - logits_profile_predictions_loss: 55.2268 - logcount_predictions_loss: 0.3495 620/643 [===========================>..] - ETA: 6s - loss: 55.6135 - logits_profile_predictions_loss: 55.2290 - logcount_predictions_loss: 0.3495 621/643 [===========================>..] - ETA: 6s - loss: 55.6180 - logits_profile_predictions_loss: 55.2334 - logcount_predictions_loss: 0.3496 622/643 [============================>.] - ETA: 6s - loss: 55.6025 - logits_profile_predictions_loss: 55.2180 - logcount_predictions_loss: 0.3496 623/643 [============================>.] - ETA: 5s - loss: 55.5993 - logits_profile_predictions_loss: 55.2148 - logcount_predictions_loss: 0.3496 624/643 [============================>.] - ETA: 5s - loss: 55.5920 - logits_profile_predictions_loss: 55.2074 - logcount_predictions_loss: 0.3497 625/643 [============================>.] - ETA: 5s - loss: 55.5858 - logits_profile_predictions_loss: 55.2009 - logcount_predictions_loss: 0.3499 626/643 [============================>.] - ETA: 5s - loss: 55.5806 - logits_profile_predictions_loss: 55.1956 - logcount_predictions_loss: 0.3500 627/643 [============================>.] - ETA: 4s - loss: 55.5819 - logits_profile_predictions_loss: 55.1969 - logcount_predictions_loss: 0.3501 628/643 [============================>.] - ETA: 4s - loss: 55.6104 - logits_profile_predictions_loss: 55.2252 - logcount_predictions_loss: 0.3501 629/643 [============================>.] - ETA: 4s - loss: 55.6123 - logits_profile_predictions_loss: 55.2273 - logcount_predictions_loss: 0.3501 630/643 [============================>.] - ETA: 3s - loss: 55.6133 - logits_profile_predictions_loss: 55.2283 - logcount_predictions_loss: 0.3500 631/643 [============================>.] - ETA: 3s - loss: 55.6291 - logits_profile_predictions_loss: 55.2441 - logcount_predictions_loss: 0.3501 632/643 [============================>.] - ETA: 3s - loss: 55.6296 - logits_profile_predictions_loss: 55.2439 - logcount_predictions_loss: 0.3507 633/643 [============================>.] - ETA: 2s - loss: 55.6172 - logits_profile_predictions_loss: 55.2315 - logcount_predictions_loss: 0.3506 634/643 [============================>.] - ETA: 2s - loss: 55.6152 - logits_profile_predictions_loss: 55.2296 - logcount_predictions_loss: 0.3506 635/643 [============================>.] - ETA: 2s - loss: 55.6164 - logits_profile_predictions_loss: 55.2307 - logcount_predictions_loss: 0.3506 636/643 [============================>.] - ETA: 2s - loss: 55.6110 - logits_profile_predictions_loss: 55.2252 - logcount_predictions_loss: 0.3508 637/643 [============================>.] - ETA: 1s - loss: 55.6124 - logits_profile_predictions_loss: 55.2265 - logcount_predictions_loss: 0.3509 638/643 [============================>.] - ETA: 1s - loss: 55.6108 - logits_profile_predictions_loss: 55.2248 - logcount_predictions_loss: 0.3509 639/643 [============================>.] - ETA: 1s - loss: 55.6016 - logits_profile_predictions_loss: 55.2157 - logcount_predictions_loss: 0.3509 640/643 [============================>.] - ETA: 0s - loss: 55.5948 - logits_profile_predictions_loss: 55.2088 - logcount_predictions_loss: 0.3510 641/643 [============================>.] - ETA: 0s - loss: 55.6022 - logits_profile_predictions_loss: 55.2161 - logcount_predictions_loss: 0.3510 642/643 [============================>.] - ETA: 0s - loss: 55.6054 - logits_profile_predictions_loss: 55.2195 - logcount_predictions_loss: 0.3508 643/643 [==============================] - ETA: 0s - loss: 55.6026 - logits_profile_predictions_loss: 55.2167 - logcount_predictions_loss: 0.3509 Epoch 11: val_loss did not improve from 54.33245 Restoring model weights from the end of the best epoch: 6.  643/643 [==============================] - 200s 311ms/step - loss: 55.6026 - logits_profile_predictions_loss: 55.2167 - logcount_predictions_loss: 0.3509 - val_loss: 55.2129 - val_logits_profile_predictions_loss: 54.8516 - val_logcount_predictions_loss: 0.3284 Epoch 11: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(10242, 10) 0/161 100/161 MOTIF_NAME MOTIF_PWM_FWD 0 tn5_1 GCACAGTACAGAGCTG 1 tn5_2 GTGCACAGTTCTAGAGTGTGCAG 2 tn5_3 CCTCTACACTGTGCAGAA 3 tn5_4 GCACAGTTCTAGACTGTGCAG 4 tn5_5 CTGCACAGTGTAGAGTTGTGC got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: control 1/161 [..............................] - ETA: 26s 2/161 [..............................] - ETA: 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[==============================] - ETA: 0s 161/161 [==============================] - 17s 108ms/step 1/161 [..............................] - ETA: 2s 2/161 [..............................] - ETA: 17s 3/161 [..............................] - ETA: 16s 4/161 [..............................] - ETA: 16s 5/161 [..............................] - ETA: 16s 6/161 [>.............................] - ETA: 16s 7/161 [>.............................] - ETA: 16s 8/161 [>.............................] - ETA: 16s 9/161 [>.............................] - ETA: 16s 10/161 [>.............................] - ETA: 16s 11/161 [=>............................] - ETA: 16s 12/161 [=>............................] - ETA: 15s 13/161 [=>............................] - ETA: 15s 14/161 [=>............................] - ETA: 15s 15/161 [=>............................] - ETA: 15s 16/161 [=>............................] - ETA: 15s 17/161 [==>...........................] - ETA: 15s 18/161 [==>...........................] - 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[=========================>....] - ETA: 1s 144/161 [=========================>....] - ETA: 1s 145/161 [==========================>...] - ETA: 1s 146/161 [==========================>...] - ETA: 1s 147/161 [==========================>...] - ETA: 1s 148/161 [==========================>...] - ETA: 1s 149/161 [==========================>...] - ETA: 1s 150/161 [==========================>...] - ETA: 1s 151/161 [===========================>..] - ETA: 1s 152/161 [===========================>..] - ETA: 0s 153/161 [===========================>..] - ETA: 0s 154/161 [===========================>..] - ETA: 0s 155/161 [===========================>..] - ETA: 0s 156/161 [============================>.] - ETA: 0s 157/161 [============================>.] - ETA: 0s 158/161 [============================>.] - ETA: 0s 159/161 [============================>.] - ETA: 0s 160/161 [============================>.] - ETA: 0s 161/161 [==============================] - ETA: 0s 161/161 [==============================] - 17s 107ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/161 [..............................] - ETA: 3s 2/161 [..............................] - ETA: 17s 3/161 [..............................] - ETA: 17s 4/161 [..............................] - ETA: 16s 5/161 [..............................] - ETA: 16s 6/161 [>.............................] - ETA: 16s 7/161 [>.............................] - ETA: 16s 8/161 [>.............................] - ETA: 16s 9/161 [>.............................] - ETA: 16s 10/161 [>.............................] - ETA: 16s 11/161 [=>............................] - ETA: 16s 12/161 [=>............................] - ETA: 16s 13/161 [=>............................] - ETA: 15s 14/161 [=>............................] - ETA: 15s 15/161 [=>............................] - ETA: 15s 16/161 [=>............................] - ETA: 15s 17/161 [==>...........................] - ETA: 15s 18/161 [==>...........................] - ETA: 15s 19/161 [==>...........................] - ETA: 15s 20/161 [==>...........................] - ETA: 15s 21/161 [==>...........................] - ETA: 15s 22/161 [===>..........................] - ETA: 14s 23/161 [===>..........................] - ETA: 14s 24/161 [===>..........................] - ETA: 14s 25/161 [===>..........................] - ETA: 14s 26/161 [===>..........................] - ETA: 14s 27/161 [====>.........................] - ETA: 14s 28/161 [====>.........................] - ETA: 14s 29/161 [====>.........................] - ETA: 14s 30/161 [====>.........................] - ETA: 14s 31/161 [====>.........................] - ETA: 13s 32/161 [====>.........................] - ETA: 13s 33/161 [=====>........................] - ETA: 13s 34/161 [=====>........................] - ETA: 13s 35/161 [=====>........................] - ETA: 13s 36/161 [=====>........................] - ETA: 13s 37/161 [=====>........................] - ETA: 13s 38/161 [======>.......................] - ETA: 13s 39/161 [======>.......................] - ETA: 13s 40/161 [======>.......................] - ETA: 13s 41/161 [======>.......................] - ETA: 12s 42/161 [======>.......................] - ETA: 12s 43/161 [=======>......................] - ETA: 12s 44/161 [=======>......................] - ETA: 12s 45/161 [=======>......................] - ETA: 12s 46/161 [=======>......................] - ETA: 12s 47/161 [=======>......................] - ETA: 12s 48/161 [=======>......................] - ETA: 12s 49/161 [========>.....................] - ETA: 12s 50/161 [========>.....................] - ETA: 11s 51/161 [========>.....................] - ETA: 11s 52/161 [========>.....................] - ETA: 11s 53/161 [========>.....................] - ETA: 11s 54/161 [=========>....................] - ETA: 11s 55/161 [=========>....................] - ETA: 11s 56/161 [=========>....................] - ETA: 11s 57/161 [=========>....................] - ETA: 11s 58/161 [=========>....................] - ETA: 11s 59/161 [=========>....................] - ETA: 10s 60/161 [==========>...................] - ETA: 10s 61/161 [==========>...................] - ETA: 10s 62/161 [==========>...................] - ETA: 10s 63/161 [==========>...................] - ETA: 10s 64/161 [==========>...................] - ETA: 10s 65/161 [===========>..................] - ETA: 10s 66/161 [===========>..................] - ETA: 10s 67/161 [===========>..................] - ETA: 10s 68/161 [===========>..................] - ETA: 9s  69/161 [===========>..................] - ETA: 9s 70/161 [============>.................] - ETA: 9s 71/161 [============>.................] - ETA: 9s 72/161 [============>.................] - ETA: 9s 73/161 [============>.................] - ETA: 9s 74/161 [============>.................] - ETA: 9s 75/161 [============>.................] - ETA: 9s 76/161 [=============>................] - ETA: 9s 77/161 [=============>................] - ETA: 9s 78/161 [=============>................] - ETA: 8s 79/161 [=============>................] - ETA: 8s 80/161 [=============>................] - ETA: 8s 81/161 [==============>...............] - ETA: 8s 82/161 [==============>...............] - ETA: 8s 83/161 [==============>...............] - ETA: 8s 84/161 [==============>...............] - ETA: 8s 85/161 [==============>...............] - ETA: 8s 86/161 [===============>..............] - ETA: 8s 87/161 [===============>..............] - ETA: 7s 88/161 [===============>..............] - ETA: 7s 89/161 [===============>..............] - ETA: 7s 90/161 [===============>..............] - ETA: 7s 91/161 [===============>..............] - ETA: 7s 92/161 [================>.............] - ETA: 7s 93/161 [================>.............] - ETA: 7s 94/161 [================>.............] - ETA: 7s 95/161 [================>.............] - ETA: 7s 96/161 [================>.............] - ETA: 6s 97/161 [=================>............] - ETA: 6s 98/161 [=================>............] - ETA: 6s 99/161 [=================>............] - ETA: 6s 100/161 [=================>............] - ETA: 6s 101/161 [=================>............] - ETA: 6s 102/161 [==================>...........] - ETA: 6s 103/161 [==================>...........] - ETA: 6s 104/161 [==================>...........] - ETA: 6s 105/161 [==================>...........] - ETA: 6s 106/161 [==================>...........] - ETA: 5s 107/161 [==================>...........] - ETA: 5s 108/161 [===================>..........] - ETA: 5s 109/161 [===================>..........] - ETA: 5s 110/161 [===================>..........] - ETA: 5s 111/161 [===================>..........] - ETA: 5s 112/161 [===================>..........] - ETA: 5s 113/161 [====================>.........] - ETA: 5s 114/161 [====================>.........] - ETA: 5s 115/161 [====================>.........] - ETA: 4s 116/161 [====================>.........] - ETA: 4s 117/161 [====================>.........] - ETA: 4s 118/161 [====================>.........] - ETA: 4s 119/161 [=====================>........] - ETA: 4s 120/161 [=====================>........] - ETA: 4s 121/161 [=====================>........] - ETA: 4s 122/161 [=====================>........] - ETA: 4s 123/161 [=====================>........] - ETA: 4s 124/161 [======================>.......] - ETA: 3s 125/161 [======================>.......] - ETA: 3s 126/161 [======================>.......] - ETA: 3s 127/161 [======================>.......] - ETA: 3s 128/161 [======================>.......] - ETA: 3s 129/161 [=======================>......] - ETA: 3s 130/161 [=======================>......] - ETA: 3s 131/161 [=======================>......] - ETA: 3s 132/161 [=======================>......] - ETA: 3s 133/161 [=======================>......] - ETA: 3s 134/161 [=======================>......] - ETA: 2s 135/161 [========================>.....] - ETA: 2s 136/161 [========================>.....] - ETA: 2s 137/161 [========================>.....] - ETA: 2s 138/161 [========================>.....] - ETA: 2s 139/161 [========================>.....] - ETA: 2s 140/161 [=========================>....] - ETA: 2s 141/161 [=========================>....] - ETA: 2s 142/161 [=========================>....] - ETA: 2s 143/161 [=========================>....] - ETA: 1s 144/161 [=========================>....] - ETA: 1s 145/161 [==========================>...] - ETA: 1s 146/161 [==========================>...] - ETA: 1s 147/161 [==========================>...] - ETA: 1s 148/161 [==========================>...] - ETA: 1s 149/161 [==========================>...] - ETA: 1s 150/161 [==========================>...] - ETA: 1s 151/161 [===========================>..] - ETA: 1s 152/161 [===========================>..] - ETA: 0s 153/161 [===========================>..] - ETA: 0s 154/161 [===========================>..] - ETA: 0s 155/161 [===========================>..] - ETA: 0s 156/161 [============================>.] - ETA: 0s 157/161 [============================>.] - ETA: 0s 158/161 [============================>.] - ETA: 0s 159/161 [============================>.] - ETA: 0s 160/161 [============================>.] - ETA: 0s 161/161 [==============================] - ETA: 0s 161/161 [==============================] - 17s 108ms/step 1/161 [..............................] - ETA: 3s 2/161 [..............................] - ETA: 17s 3/161 [..............................] - ETA: 16s 4/161 [..............................] - ETA: 16s 5/161 [..............................] - ETA: 16s 6/161 [>.............................] - ETA: 16s 7/161 [>.............................] - ETA: 16s 8/161 [>.............................] - ETA: 16s 9/161 [>.............................] - ETA: 16s 10/161 [>.............................] - ETA: 16s 11/161 [=>............................] - ETA: 16s 12/161 [=>............................] - ETA: 16s 13/161 [=>............................] - ETA: 15s 14/161 [=>............................] - ETA: 15s 15/161 [=>............................] - ETA: 15s 16/161 [=>............................] - ETA: 15s 17/161 [==>...........................] - ETA: 15s 18/161 [==>...........................] - ETA: 15s 19/161 [==>...........................] - ETA: 15s 20/161 [==>...........................] - ETA: 15s 21/161 [==>...........................] - ETA: 15s 22/161 [===>..........................] - ETA: 14s 23/161 [===>..........................] - ETA: 14s 24/161 [===>..........................] - ETA: 14s 25/161 [===>..........................] - ETA: 14s 26/161 [===>..........................] - ETA: 14s 27/161 [====>.........................] - ETA: 14s 28/161 [====>.........................] - ETA: 14s 29/161 [====>.........................] - ETA: 14s 30/161 [====>.........................] - ETA: 14s 31/161 [====>.........................] - ETA: 13s 32/161 [====>.........................] - ETA: 13s 33/161 [=====>........................] - ETA: 13s 34/161 [=====>........................] - ETA: 13s 35/161 [=====>........................] - ETA: 13s 36/161 [=====>........................] - ETA: 13s 37/161 [=====>........................] - ETA: 13s 38/161 [======>.......................] - ETA: 13s 39/161 [======>.......................] - ETA: 13s 40/161 [======>.......................] - ETA: 13s 41/161 [======>.......................] - ETA: 12s 42/161 [======>.......................] - ETA: 12s 43/161 [=======>......................] - ETA: 12s 44/161 [=======>......................] - ETA: 12s 45/161 [=======>......................] - ETA: 12s 46/161 [=======>......................] - ETA: 12s 47/161 [=======>......................] - ETA: 12s 48/161 [=======>......................] - ETA: 12s 49/161 [========>.....................] - ETA: 12s 50/161 [========>.....................] - ETA: 11s 51/161 [========>.....................] - ETA: 11s 52/161 [========>.....................] - ETA: 11s 53/161 [========>.....................] - ETA: 11s 54/161 [=========>....................] - ETA: 11s 55/161 [=========>....................] - ETA: 11s 56/161 [=========>....................] - ETA: 11s 57/161 [=========>....................] - ETA: 11s 58/161 [=========>....................] - ETA: 11s 59/161 [=========>....................] - ETA: 10s 60/161 [==========>...................] - ETA: 10s 61/161 [==========>...................] - ETA: 10s 62/161 [==========>...................] - ETA: 10s 63/161 [==========>...................] - ETA: 10s 64/161 [==========>...................] - ETA: 10s 65/161 [===========>..................] - ETA: 10s 66/161 [===========>..................] - ETA: 10s 67/161 [===========>..................] - ETA: 10s 68/161 [===========>..................] - ETA: 10s 69/161 [===========>..................] - ETA: 9s  70/161 [============>.................] - ETA: 9s 71/161 [============>.................] - ETA: 9s 72/161 [============>.................] - ETA: 9s 73/161 [============>.................] - ETA: 9s 74/161 [============>.................] - ETA: 9s 75/161 [============>.................] - ETA: 9s 76/161 [=============>................] - ETA: 9s 77/161 [=============>................] - ETA: 9s 78/161 [=============>................] - ETA: 8s 79/161 [=============>................] - ETA: 8s 80/161 [=============>................] - ETA: 8s 81/161 [==============>...............] - ETA: 8s 82/161 [==============>...............] - ETA: 8s 83/161 [==============>...............] - ETA: 8s 84/161 [==============>...............] - ETA: 8s 85/161 [==============>...............] - ETA: 8s 86/161 [===============>..............] - ETA: 8s 87/161 [===============>..............] - ETA: 7s 88/161 [===============>..............] - ETA: 7s 89/161 [===============>..............] - ETA: 7s 90/161 [===============>..............] - ETA: 7s 91/161 [===============>..............] - ETA: 7s 92/161 [================>.............] - ETA: 7s 93/161 [================>.............] - ETA: 7s 94/161 [================>.............] - ETA: 7s 95/161 [================>.............] - ETA: 7s 96/161 [================>.............] - ETA: 7s 97/161 [=================>............] - ETA: 7s 98/161 [=================>............] - ETA: 6s 99/161 [=================>............] - ETA: 6s 100/161 [=================>............] - ETA: 6s 101/161 [=================>............] - ETA: 6s 102/161 [==================>...........] - ETA: 6s 103/161 [==================>...........] - ETA: 6s 104/161 [==================>...........] - ETA: 6s 105/161 [==================>...........] - ETA: 6s 106/161 [==================>...........] - ETA: 6s 107/161 [==================>...........] - ETA: 5s 108/161 [===================>..........] - ETA: 5s 109/161 [===================>..........] - ETA: 5s 110/161 [===================>..........] - ETA: 5s 111/161 [===================>..........] - ETA: 5s 112/161 [===================>..........] - ETA: 5s 113/161 [====================>.........] - ETA: 5s 114/161 [====================>.........] - ETA: 5s 115/161 [====================>.........] - ETA: 5s 116/161 [====================>.........] - ETA: 4s 117/161 [====================>.........] - ETA: 4s 118/161 [====================>.........] - ETA: 4s 119/161 [=====================>........] - ETA: 4s 120/161 [=====================>........] - ETA: 4s 121/161 [=====================>........] - ETA: 4s 122/161 [=====================>........] - ETA: 4s 123/161 [=====================>........] - ETA: 4s 124/161 [======================>.......] - ETA: 4s 125/161 [======================>.......] - ETA: 3s 126/161 [======================>.......] - ETA: 3s 127/161 [======================>.......] - ETA: 3s 128/161 [======================>.......] - ETA: 3s 129/161 [=======================>......] - ETA: 3s 130/161 [=======================>......] - ETA: 3s 131/161 [=======================>......] - ETA: 3s 132/161 [=======================>......] - ETA: 3s 133/161 [=======================>......] - ETA: 3s 134/161 [=======================>......] - ETA: 2s 135/161 [========================>.....] - ETA: 2s 136/161 [========================>.....] - ETA: 2s 137/161 [========================>.....] - ETA: 2s 138/161 [========================>.....] - ETA: 2s 139/161 [========================>.....] - ETA: 2s 140/161 [=========================>....] - ETA: 2s 141/161 [=========================>....] - ETA: 2s 142/161 [=========================>....] - ETA: 2s 143/161 [=========================>....] - ETA: 1s 144/161 [=========================>....] - ETA: 1s 145/161 [==========================>...] - ETA: 1s 146/161 [==========================>...] - ETA: 1s 147/161 [==========================>...] - ETA: 1s 148/161 [==========================>...] - ETA: 1s 149/161 [==========================>...] - ETA: 1s 150/161 [==========================>...] - ETA: 1s 151/161 [===========================>..] - ETA: 1s 152/161 [===========================>..] - ETA: 0s 153/161 [===========================>..] - ETA: 0s 154/161 [===========================>..] - ETA: 0s 155/161 [===========================>..] - ETA: 0s 156/161 [============================>.] - ETA: 0s 157/161 [============================>.] - ETA: 0s 158/161 [============================>.] - ETA: 0s 159/161 [============================>.] - ETA: 0s 160/161 [============================>.] - ETA: 0s 161/161 [==============================] - ETA: 0s 161/161 [==============================] - 17s 109ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/161 [..............................] - ETA: 3s 2/161 [..............................] - ETA: 17s 3/161 [..............................] - ETA: 16s 4/161 [..............................] - ETA: 16s 5/161 [..............................] - ETA: 16s 6/161 [>.............................] - ETA: 16s 7/161 [>.............................] - ETA: 16s 8/161 [>.............................] - ETA: 16s 9/161 [>.............................] - ETA: 16s 10/161 [>.............................] - ETA: 16s 11/161 [=>............................] - ETA: 16s 12/161 [=>............................] - ETA: 15s 13/161 [=>............................] - ETA: 15s 14/161 [=>............................] - ETA: 15s 15/161 [=>............................] - ETA: 15s 16/161 [=>............................] - ETA: 15s 17/161 [==>...........................] - ETA: 15s 18/161 [==>...........................] - ETA: 15s 19/161 [==>...........................] - ETA: 15s 20/161 [==>...........................] - ETA: 15s 21/161 [==>...........................] - ETA: 15s 22/161 [===>..........................] - ETA: 14s 23/161 [===>..........................] - ETA: 14s 24/161 [===>..........................] - ETA: 14s 25/161 [===>..........................] - ETA: 14s 26/161 [===>..........................] - ETA: 14s 27/161 [====>.........................] - ETA: 14s 28/161 [====>.........................] - ETA: 14s 29/161 [====>.........................] - ETA: 14s 30/161 [====>.........................] - ETA: 14s 31/161 [====>.........................] - ETA: 13s 32/161 [====>.........................] - ETA: 13s 33/161 [=====>........................] - ETA: 13s 34/161 [=====>........................] - ETA: 13s 35/161 [=====>........................] - ETA: 13s 36/161 [=====>........................] - ETA: 13s 37/161 [=====>........................] - ETA: 13s 38/161 [======>.......................] - ETA: 13s 39/161 [======>.......................] - ETA: 13s 40/161 [======>.......................] - ETA: 12s 41/161 [======>.......................] - ETA: 12s 42/161 [======>.......................] - ETA: 12s 43/161 [=======>......................] - ETA: 12s 44/161 [=======>......................] - ETA: 12s 45/161 [=======>......................] - ETA: 12s 46/161 [=======>......................] - ETA: 12s 47/161 [=======>......................] - ETA: 12s 48/161 [=======>......................] - ETA: 12s 49/161 [========>.....................] - ETA: 12s 50/161 [========>.....................] - ETA: 11s 51/161 [========>.....................] - ETA: 11s 52/161 [========>.....................] - ETA: 11s 53/161 [========>.....................] - ETA: 11s 54/161 [=========>....................] - ETA: 11s 55/161 [=========>....................] - ETA: 11s 56/161 [=========>....................] - ETA: 11s 57/161 [=========>....................] - ETA: 11s 58/161 [=========>....................] - ETA: 11s 59/161 [=========>....................] - ETA: 10s 60/161 [==========>...................] - ETA: 10s 61/161 [==========>...................] - ETA: 10s 62/161 [==========>...................] - ETA: 10s 63/161 [==========>...................] - ETA: 10s 64/161 [==========>...................] - ETA: 10s 65/161 [===========>..................] - ETA: 10s 66/161 [===========>..................] - ETA: 10s 67/161 [===========>..................] - ETA: 10s 68/161 [===========>..................] - ETA: 9s  69/161 [===========>..................] - ETA: 9s 70/161 [============>.................] - ETA: 9s 71/161 [============>.................] - ETA: 9s 72/161 [============>.................] - ETA: 9s 73/161 [============>.................] - ETA: 9s 74/161 [============>.................] - ETA: 9s 75/161 [============>.................] - ETA: 9s 76/161 [=============>................] - ETA: 9s 77/161 [=============>................] - ETA: 9s 78/161 [=============>................] - ETA: 8s 79/161 [=============>................] - ETA: 8s 80/161 [=============>................] - ETA: 8s 81/161 [==============>...............] - ETA: 8s 82/161 [==============>...............] - ETA: 8s 83/161 [==============>...............] - ETA: 8s 84/161 [==============>...............] - ETA: 8s 85/161 [==============>...............] - ETA: 8s 86/161 [===============>..............] - ETA: 8s 87/161 [===============>..............] - ETA: 7s 88/161 [===============>..............] - ETA: 7s 89/161 [===============>..............] - ETA: 7s 90/161 [===============>..............] - ETA: 7s 91/161 [===============>..............] - ETA: 7s 92/161 [================>.............] - ETA: 7s 93/161 [================>.............] - ETA: 7s 94/161 [================>.............] - ETA: 7s 95/161 [================>.............] - ETA: 7s 96/161 [================>.............] - ETA: 6s 97/161 [=================>............] - ETA: 6s 98/161 [=================>............] - ETA: 6s 99/161 [=================>............] - ETA: 6s 100/161 [=================>............] - ETA: 6s 101/161 [=================>............] - ETA: 6s 102/161 [==================>...........] - ETA: 6s 103/161 [==================>...........] - ETA: 6s 104/161 [==================>...........] - ETA: 6s 105/161 [==================>...........] - ETA: 6s 106/161 [==================>...........] - ETA: 5s 107/161 [==================>...........] - ETA: 5s 108/161 [===================>..........] - ETA: 5s 109/161 [===================>..........] - ETA: 5s 110/161 [===================>..........] - ETA: 5s 111/161 [===================>..........] - ETA: 5s 112/161 [===================>..........] - ETA: 5s 113/161 [====================>.........] - ETA: 5s 114/161 [====================>.........] - ETA: 5s 115/161 [====================>.........] - ETA: 4s 116/161 [====================>.........] - ETA: 4s 117/161 [====================>.........] - ETA: 4s 118/161 [====================>.........] - ETA: 4s 119/161 [=====================>........] - ETA: 4s 120/161 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[===========================>..] - ETA: 1s 152/161 [===========================>..] - ETA: 0s 153/161 [===========================>..] - ETA: 0s 154/161 [===========================>..] - ETA: 0s 155/161 [===========================>..] - ETA: 0s 156/161 [============================>.] - ETA: 0s 157/161 [============================>.] - ETA: 0s 158/161 [============================>.] - ETA: 0s 159/161 [============================>.] - ETA: 0s 160/161 [============================>.] - ETA: 0s 161/161 [==============================] - ETA: 0s 161/161 [==============================] - 17s 107ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores