Live Estimating enzyme shift in input file Current estimated shift: +4/-5 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+1,$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: 75477 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr5', 'chr6', 'chr8', 'chr9', 'chr10', 'chr13', 'chr14', 'chr16', 'chr17', 'chr18', 'chr19', 'chr20', 'chr21', 'chrX', 'chr22', 'chr7'] Number of peaks input: 57806 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 57806 Number of peaks input: 12994 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 12994 Number of non peaks input: 115612 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 115612 Number of non peaks input: 12994 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 12994 Number of peaks after removing outliers: 57799 Number of nonpeaks after removing outliers: 53029 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 1/1658 [..............................] - ETA: 57:28 8/1658 [..............................] - ETA: 13s  14/1658 [..............................] - ETA: 14s 20/1658 [..............................] - ETA: 14s 26/1658 [..............................] - ETA: 14s 32/1658 [..............................] - ETA: 14s 38/1658 [..............................] - ETA: 14s 44/1658 [..............................] - ETA: 14s 50/1658 [..............................] - ETA: 14s 56/1658 [>.............................] - ETA: 14s 62/1658 [>.............................] - ETA: 14s 68/1658 [>.............................] - ETA: 14s 74/1658 [>.............................] - ETA: 14s 80/1658 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[============================>.] - ETA: 0s 1658/1658 [==============================] - ETA: 0s 1658/1658 [==============================] - 17s 9ms/step got the model loading peaks... got split:test for bed regions:(12994, 10) 0/204 100/204 200/204 Bias model pearsonr performance in peaks is: -0.02 {'counts_loss_weight': '1.6', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_2.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(53326, 10) loading nonpeaks... got split:train for bed regions:(48743, 10) loading peaks... got split:valid for bed regions:(4473, 10) loading nonpeaks... got split:valid for bed regions:(4286, 10) Epoch 1/50 1/917 [..............................] - ETA: 1:52:07 - loss: 108.1520 - logits_profile_predictions_loss: 104.2619 - logcount_predictions_loss: 2.4313 2/917 [..............................] - ETA: 9:08 - loss: 3190.8945 - logits_profile_predictions_loss: 107.7486 - logcount_predictions_loss: 1926.9662 3/917 [..............................] - ETA: 9:07 - loss: 2167.0303 - logits_profile_predictions_loss: 110.3825 - logcount_predictions_loss: 1285.4049 4/917 [..............................] - ETA: 9:06 - loss: 1650.9216 - logits_profile_predictions_loss: 107.2785 - logcount_predictions_loss: 964.7769  5/917 [..............................] - ETA: 9:06 - loss: 1339.9788 - logits_profile_predictions_loss: 104.1491 - logcount_predictions_loss: 772.3935 6/917 [..............................] - ETA: 9:05 - loss: 1134.6320 - logits_profile_predictions_loss: 103.8918 - logcount_predictions_loss: 644.2126 7/917 [..............................] - ETA: 9:04 - loss: 988.1046 - logits_profile_predictions_loss: 103.8356 - logcount_predictions_loss: 552.6681  8/917 [..............................] - ETA: 9:04 - loss: 875.0834 - logits_profile_predictions_loss: 100.8415 - logcount_predictions_loss: 483.9011 9/917 [..............................] - ETA: 9:03 - loss: 788.3459 - logits_profile_predictions_loss: 99.5968 - logcount_predictions_loss: 430.4682  10/917 [..............................] - ETA: 9:02 - loss: 720.3846 - logits_profile_predictions_loss: 99.9360 - logcount_predictions_loss: 387.7804 11/917 [..............................] - ETA: 9:02 - loss: 664.9956 - logits_profile_predictions_loss: 100.4133 - logcount_predictions_loss: 352.8640 12/917 [..............................] - ETA: 9:01 - loss: 618.1512 - logits_profile_predictions_loss: 100.1506 - logcount_predictions_loss: 323.7504 13/917 [..............................] - ETA: 9:01 - loss: 578.1677 - logits_profile_predictions_loss: 99.6153 - logcount_predictions_loss: 299.0952  14/917 [..............................] - ETA: 9:00 - loss: 545.6693 - logits_profile_predictions_loss: 100.8322 - logcount_predictions_loss: 278.0232 15/917 [..............................] - ETA: 8:59 - loss: 516.3727 - logits_profile_predictions_loss: 100.8214 - logcount_predictions_loss: 259.7195 16/917 [..............................] - ETA: 8:59 - loss: 488.8903 - logits_profile_predictions_loss: 99.0707 - logcount_predictions_loss: 243.6372  17/917 [..............................] - ETA: 8:58 - loss: 466.9304 - logits_profile_predictions_loss: 99.6799 - logcount_predictions_loss: 229.5316 18/917 [..............................] - ETA: 8:58 - loss: 445.5866 - logits_profile_predictions_loss: 98.5081 - logcount_predictions_loss: 216.9241 19/917 [..............................] - ETA: 8:57 - loss: 428.0430 - logits_profile_predictions_loss: 98.9287 - logcount_predictions_loss: 205.6964 20/917 [..............................] - ETA: 8:56 - loss: 411.6491 - logits_profile_predictions_loss: 98.7277 - logcount_predictions_loss: 195.5759 21/917 [..............................] - ETA: 8:56 - loss: 397.6229 - logits_profile_predictions_loss: 99.3229 - logcount_predictions_loss: 186.4375 22/917 [..............................] - ETA: 8:55 - loss: 384.9585 - logits_profile_predictions_loss: 99.9427 - logcount_predictions_loss: 178.1349 23/917 [..............................] - ETA: 8:55 - loss: 372.5779 - logits_profile_predictions_loss: 99.7399 - logcount_predictions_loss: 170.5237 24/917 [..............................] - ETA: 8:54 - loss: 361.2784 - logits_profile_predictions_loss: 99.5910 - logcount_predictions_loss: 163.5546 25/917 [..............................] - ETA: 8:53 - loss: 350.3168 - logits_profile_predictions_loss: 98.9257 - logcount_predictions_loss: 157.1194 26/917 [..............................] - ETA: 8:53 - loss: 340.4699 - logits_profile_predictions_loss: 98.5702 - logcount_predictions_loss: 151.1873 27/917 [..............................] - ETA: 8:52 - loss: 331.7686 - logits_profile_predictions_loss: 98.6382 - logcount_predictions_loss: 145.7065 28/917 [..............................] - ETA: 8:52 - loss: 323.7113 - logits_profile_predictions_loss: 98.7286 - logcount_predictions_loss: 140.6142 29/917 [..............................] - ETA: 8:51 - loss: 315.2002 - logits_profile_predictions_loss: 97.8620 - logcount_predictions_loss: 135.8364 30/917 [..............................] - ETA: 8:50 - loss: 307.7645 - logits_profile_predictions_loss: 97.5395 - logcount_predictions_loss: 131.3906 31/917 [>.............................] - ETA: 8:50 - loss: 300.8252 - logits_profile_predictions_loss: 97.2599 - logcount_predictions_loss: 127.2283 32/917 [>.............................] - ETA: 8:49 - loss: 295.0228 - logits_profile_predictions_loss: 97.6747 - logcount_predictions_loss: 123.3426 33/917 [>.............................] - ETA: 8:49 - loss: 288.9792 - logits_profile_predictions_loss: 97.5166 - logcount_predictions_loss: 119.6642 34/917 [>.............................] - ETA: 8:48 - loss: 282.7669 - logits_profile_predictions_loss: 96.8732 - logcount_predictions_loss: 116.1836 35/917 [>.............................] - ETA: 8:47 - loss: 277.7866 - logits_profile_predictions_loss: 97.1237 - logcount_predictions_loss: 112.9143 36/917 [>.............................] - ETA: 8:47 - loss: 272.8373 - logits_profile_predictions_loss: 97.1302 - logcount_predictions_loss: 109.8170 37/917 [>.............................] - ETA: 8:46 - loss: 268.1326 - logits_profile_predictions_loss: 97.1135 - logcount_predictions_loss: 106.8869 38/917 [>.............................] - ETA: 8:46 - loss: 263.4258 - logits_profile_predictions_loss: 96.8129 - logcount_predictions_loss: 104.1331 39/917 [>.............................] - ETA: 8:45 - loss: 259.1604 - logits_profile_predictions_loss: 96.7547 - logcount_predictions_loss: 101.5036 40/917 [>.............................] - ETA: 8:44 - loss: 254.8603 - 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[============================>.] - ETA: 12s - loss: 104.7978 - logits_profile_predictions_loss: 95.9469 - logcount_predictions_loss: 5.5318 898/917 [============================>.] - ETA: 11s - loss: 104.7866 - logits_profile_predictions_loss: 95.9439 - logcount_predictions_loss: 5.5267 899/917 [============================>.] - ETA: 10s - loss: 104.7800 - logits_profile_predictions_loss: 95.9454 - logcount_predictions_loss: 5.5216 900/917 [============================>.] - ETA: 10s - loss: 104.7725 - logits_profile_predictions_loss: 95.9464 - logcount_predictions_loss: 5.5163 901/917 [============================>.] - ETA: 9s - loss: 104.7868 - logits_profile_predictions_loss: 95.9687 - logcount_predictions_loss: 5.5113  902/917 [============================>.] - ETA: 9s - loss: 104.7626 - logits_profile_predictions_loss: 95.9527 - logcount_predictions_loss: 5.5062 903/917 [============================>.] - ETA: 8s - loss: 104.7316 - logits_profile_predictions_loss: 95.9302 - 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- ETA: 0s - loss: 104.5805 - logits_profile_predictions_loss: 95.8885 - logcount_predictions_loss: 5.4325 Epoch 1: val_loss improved from inf to 113.25105, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 579s 624ms/step - loss: 104.5805 - logits_profile_predictions_loss: 95.8885 - logcount_predictions_loss: 5.4325 - val_loss: 113.2511 - val_logits_profile_predictions_loss: 111.6765 - val_logcount_predictions_loss: 0.9841 Epoch 2/50 1/917 [..............................] - ETA: 9:23 - loss: 106.4291 - logits_profile_predictions_loss: 104.5503 - logcount_predictions_loss: 1.1743 2/917 [..............................] - ETA: 9:06 - loss: 99.6815 - logits_profile_predictions_loss: 97.9163 - logcount_predictions_loss: 1.1033  3/917 [..............................] - ETA: 9:05 - loss: 100.0937 - logits_profile_predictions_loss: 98.3149 - logcount_predictions_loss: 1.1118 4/917 [..............................] - ETA: 9:05 - loss: 97.6077 - logits_profile_predictions_loss: 95.8545 - logcount_predictions_loss: 1.0958  5/917 [..............................] - ETA: 9:04 - loss: 98.7316 - logits_profile_predictions_loss: 96.9989 - logcount_predictions_loss: 1.0829 6/917 [..............................] - ETA: 9:03 - loss: 102.6406 - logits_profile_predictions_loss: 100.8608 - logcount_predictions_loss: 1.1124 7/917 [..............................] - ETA: 9:03 - loss: 103.8683 - logits_profile_predictions_loss: 102.0588 - logcount_predictions_loss: 1.1309 8/917 [..............................] - ETA: 9:02 - loss: 103.0708 - logits_profile_predictions_loss: 101.2817 - logcount_predictions_loss: 1.1182 9/917 [..............................] - ETA: 9:02 - loss: 101.5066 - logits_profile_predictions_loss: 99.7363 - logcount_predictions_loss: 1.1064  10/917 [..............................] - ETA: 9:01 - loss: 102.4118 - logits_profile_predictions_loss: 100.6450 - logcount_predictions_loss: 1.1042 11/917 [..............................] - ETA: 9:01 - loss: 103.0242 - logits_profile_predictions_loss: 101.2862 - logcount_predictions_loss: 1.0863 12/917 [..............................] - ETA: 9:00 - loss: 102.1855 - logits_profile_predictions_loss: 100.4620 - logcount_predictions_loss: 1.0772 13/917 [..............................] - ETA: 8:59 - loss: 101.2900 - logits_profile_predictions_loss: 99.5889 - logcount_predictions_loss: 1.0632  14/917 [..............................] - ETA: 8:59 - loss: 100.5684 - logits_profile_predictions_loss: 98.8820 - logcount_predictions_loss: 1.0540 15/917 [..............................] - ETA: 8:58 - loss: 101.4088 - logits_profile_predictions_loss: 99.7339 - logcount_predictions_loss: 1.0468 16/917 [..............................] - ETA: 8:57 - loss: 100.5249 - logits_profile_predictions_loss: 98.8859 - logcount_predictions_loss: 1.0243 17/917 [..............................] - ETA: 8:57 - loss: 100.8151 - logits_profile_predictions_loss: 99.1743 - logcount_predictions_loss: 1.0255 18/917 [..............................] - ETA: 8:56 - loss: 101.1001 - logits_profile_predictions_loss: 99.4676 - logcount_predictions_loss: 1.0203 19/917 [..............................] - ETA: 8:56 - loss: 100.4445 - logits_profile_predictions_loss: 98.8240 - logcount_predictions_loss: 1.0128 20/917 [..............................] - ETA: 8:55 - loss: 100.1416 - logits_profile_predictions_loss: 98.5447 - logcount_predictions_loss: 0.9981 21/917 [..............................] - ETA: 8:55 - loss: 99.3880 - logits_profile_predictions_loss: 97.7928 - logcount_predictions_loss: 0.9970  22/917 [..............................] - ETA: 8:54 - loss: 99.3971 - logits_profile_predictions_loss: 97.8151 - logcount_predictions_loss: 0.9887 23/917 [..............................] - ETA: 8:53 - loss: 99.2389 - logits_profile_predictions_loss: 97.6648 - logcount_predictions_loss: 0.9838 24/917 [..............................] - ETA: 8:53 - loss: 99.8083 - logits_profile_predictions_loss: 98.2504 - logcount_predictions_loss: 0.9737 25/917 [..............................] - ETA: 8:52 - loss: 99.2802 - logits_profile_predictions_loss: 97.7182 - logcount_predictions_loss: 0.9762 26/917 [..............................] - ETA: 8:52 - loss: 99.3271 - logits_profile_predictions_loss: 97.7625 - logcount_predictions_loss: 0.9779 27/917 [..............................] - ETA: 8:51 - loss: 99.0258 - logits_profile_predictions_loss: 97.4665 - logcount_predictions_loss: 0.9746 28/917 [..............................] - ETA: 8:50 - loss: 98.8435 - logits_profile_predictions_loss: 97.2895 - logcount_predictions_loss: 0.9713 29/917 [..............................] - ETA: 8:50 - loss: 99.0529 - logits_profile_predictions_loss: 97.5073 - logcount_predictions_loss: 0.9660 30/917 [..............................] - ETA: 8:49 - loss: 99.0330 - 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[>.............................] - ETA: 8:45 - loss: 99.9475 - logits_profile_predictions_loss: 98.4180 - logcount_predictions_loss: 0.9559  38/917 [>.............................] - ETA: 8:44 - loss: 99.6817 - logits_profile_predictions_loss: 98.1603 - logcount_predictions_loss: 0.9509 39/917 [>.............................] - ETA: 8:44 - loss: 99.4764 - logits_profile_predictions_loss: 97.9653 - logcount_predictions_loss: 0.9444 40/917 [>.............................] - ETA: 8:43 - loss: 99.3293 - logits_profile_predictions_loss: 97.8137 - logcount_predictions_loss: 0.9473 41/917 [>.............................] - ETA: 8:43 - loss: 98.9044 - logits_profile_predictions_loss: 97.3948 - logcount_predictions_loss: 0.9435 42/917 [>.............................] - ETA: 8:42 - loss: 99.0137 - logits_profile_predictions_loss: 97.5157 - logcount_predictions_loss: 0.9363 43/917 [>.............................] - ETA: 8:41 - loss: 98.6593 - logits_profile_predictions_loss: 97.1657 - 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- ETA: 8:33 - loss: 99.2784 - logits_profile_predictions_loss: 97.7134 - logcount_predictions_loss: 0.9781 58/917 [>.............................] - ETA: 8:32 - loss: 99.4496 - logits_profile_predictions_loss: 97.8871 - logcount_predictions_loss: 0.9766 59/917 [>.............................] - ETA: 8:32 - loss: 99.6417 - logits_profile_predictions_loss: 98.0852 - logcount_predictions_loss: 0.9728 60/917 [>.............................] - ETA: 8:31 - loss: 99.6288 - logits_profile_predictions_loss: 98.0747 - logcount_predictions_loss: 0.9713 61/917 [>.............................] - ETA: 8:31 - loss: 99.3628 - logits_profile_predictions_loss: 97.8167 - logcount_predictions_loss: 0.9663 62/917 [=>............................] - ETA: 8:30 - loss: 99.1179 - logits_profile_predictions_loss: 97.5791 - logcount_predictions_loss: 0.9618 63/917 [=>............................] - ETA: 8:29 - loss: 99.0096 - logits_profile_predictions_loss: 97.4669 - logcount_predictions_loss: 0.9642 64/917 [=>............................] - ETA: 8:29 - loss: 98.6586 - logits_profile_predictions_loss: 97.1169 - logcount_predictions_loss: 0.9635 65/917 [=>............................] - ETA: 8:28 - loss: 98.5187 - logits_profile_predictions_loss: 96.9759 - logcount_predictions_loss: 0.9642 66/917 [=>............................] - ETA: 8:28 - loss: 98.7471 - logits_profile_predictions_loss: 97.2017 - logcount_predictions_loss: 0.9659 67/917 [=>............................] - ETA: 8:27 - loss: 98.5626 - logits_profile_predictions_loss: 97.0191 - logcount_predictions_loss: 0.9647 68/917 [=>............................] - ETA: 8:26 - loss: 98.2164 - logits_profile_predictions_loss: 96.6769 - logcount_predictions_loss: 0.9621 69/917 [=>............................] - ETA: 8:26 - loss: 98.1862 - logits_profile_predictions_loss: 96.6443 - logcount_predictions_loss: 0.9637 70/917 [=>............................] - ETA: 8:25 - loss: 98.2277 - logits_profile_predictions_loss: 96.6843 - 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logits_profile_predictions_loss: 96.4698 - logcount_predictions_loss: 0.9675 78/917 [=>............................] - ETA: 8:20 - loss: 98.1028 - logits_profile_predictions_loss: 96.5530 - logcount_predictions_loss: 0.9687 79/917 [=>............................] - ETA: 8:20 - loss: 98.2739 - logits_profile_predictions_loss: 96.7202 - logcount_predictions_loss: 0.9711 80/917 [=>............................] - ETA: 8:19 - loss: 98.2063 - logits_profile_predictions_loss: 96.6568 - logcount_predictions_loss: 0.9684 81/917 [=>............................] - ETA: 8:19 - loss: 98.2510 - logits_profile_predictions_loss: 96.6950 - logcount_predictions_loss: 0.9724 82/917 [=>............................] - ETA: 8:18 - loss: 98.1357 - logits_profile_predictions_loss: 96.5654 - logcount_predictions_loss: 0.9815 83/917 [=>............................] - ETA: 8:17 - loss: 97.9936 - logits_profile_predictions_loss: 96.4274 - logcount_predictions_loss: 0.9789 84/917 [=>............................] - 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2s - loss: 95.1017 - logits_profile_predictions_loss: 93.6846 - logcount_predictions_loss: 0.8858 913/917 [============================>.] - ETA: 2s - loss: 95.0919 - logits_profile_predictions_loss: 93.6747 - logcount_predictions_loss: 0.8858 914/917 [============================>.] - ETA: 1s - loss: 95.0732 - logits_profile_predictions_loss: 93.6564 - logcount_predictions_loss: 0.8856 915/917 [============================>.] - ETA: 1s - loss: 95.0429 - logits_profile_predictions_loss: 93.6263 - logcount_predictions_loss: 0.8855 916/917 [============================>.] - ETA: 0s - loss: 95.0520 - logits_profile_predictions_loss: 93.6355 - logcount_predictions_loss: 0.8854 917/917 [==============================] - ETA: 0s - loss: 95.0464 - logits_profile_predictions_loss: 93.6300 - logcount_predictions_loss: 0.8853 Epoch 2: val_loss improved from 113.25105 to 110.55446, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 569s 620ms/step - loss: 95.0464 - logits_profile_predictions_loss: 93.6300 - logcount_predictions_loss: 0.8853 - val_loss: 110.5545 - val_logits_profile_predictions_loss: 109.1605 - val_logcount_predictions_loss: 0.8712 Epoch 3/50 1/917 [..............................] - ETA: 9:20 - loss: 85.5039 - logits_profile_predictions_loss: 84.4344 - logcount_predictions_loss: 0.6684 2/917 [..............................] - ETA: 9:06 - loss: 80.3851 - logits_profile_predictions_loss: 79.2188 - logcount_predictions_loss: 0.7289 3/917 [..............................] - ETA: 9:05 - loss: 86.1681 - logits_profile_predictions_loss: 84.9694 - logcount_predictions_loss: 0.7492 4/917 [..............................] - ETA: 9:05 - loss: 84.8967 - logits_profile_predictions_loss: 83.6605 - logcount_predictions_loss: 0.7727 5/917 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[============================>.] - ETA: 1s - loss: 92.9876 - logits_profile_predictions_loss: 91.7937 - logcount_predictions_loss: 0.7461 915/917 [============================>.] - ETA: 1s - loss: 92.9744 - logits_profile_predictions_loss: 91.7802 - logcount_predictions_loss: 0.7463 916/917 [============================>.] - ETA: 0s - loss: 92.9920 - logits_profile_predictions_loss: 91.7980 - logcount_predictions_loss: 0.7462 917/917 [==============================] - ETA: 0s - loss: 92.9770 - logits_profile_predictions_loss: 91.7831 - logcount_predictions_loss: 0.7462 Epoch 3: val_loss improved from 110.55446 to 109.08607, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 568s 620ms/step - loss: 92.9770 - logits_profile_predictions_loss: 91.7831 - logcount_predictions_loss: 0.7462 - val_loss: 109.0861 - val_logits_profile_predictions_loss: 107.9938 - val_logcount_predictions_loss: 0.6827 Epoch 4/50 1/917 [..............................] - ETA: 9:21 - loss: 102.4405 - logits_profile_predictions_loss: 101.1754 - logcount_predictions_loss: 0.7907 2/917 [..............................] - ETA: 9:06 - loss: 108.3249 - logits_profile_predictions_loss: 107.1647 - logcount_predictions_loss: 0.7251 3/917 [..............................] - ETA: 9:05 - loss: 102.3953 - logits_profile_predictions_loss: 101.2439 - logcount_predictions_loss: 0.7196 4/917 [..............................] - ETA: 9:05 - loss: 98.4153 - logits_profile_predictions_loss: 97.1792 - logcount_predictions_loss: 0.7726  5/917 [..............................] - ETA: 9:04 - loss: 96.2027 - logits_profile_predictions_loss: 94.9316 - logcount_predictions_loss: 0.7945 6/917 [..............................] - ETA: 9:03 - loss: 90.8242 - logits_profile_predictions_loss: 89.5747 - logcount_predictions_loss: 0.7809 7/917 [..............................] - ETA: 9:03 - 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[..............................] - ETA: 8:58 - loss: 94.1469 - logits_profile_predictions_loss: 92.9492 - logcount_predictions_loss: 0.7486 15/917 [..............................] - ETA: 8:58 - loss: 93.3568 - logits_profile_predictions_loss: 92.1421 - logcount_predictions_loss: 0.7592 16/917 [..............................] - ETA: 8:57 - loss: 93.9028 - logits_profile_predictions_loss: 92.6737 - logcount_predictions_loss: 0.7682 17/917 [..............................] - ETA: 8:57 - loss: 94.9278 - logits_profile_predictions_loss: 93.7016 - logcount_predictions_loss: 0.7664 18/917 [..............................] - ETA: 8:56 - loss: 93.8641 - logits_profile_predictions_loss: 92.6339 - logcount_predictions_loss: 0.7689 19/917 [..............................] - ETA: 8:55 - loss: 94.2587 - logits_profile_predictions_loss: 93.0346 - logcount_predictions_loss: 0.7651 20/917 [..............................] - ETA: 8:55 - loss: 93.2614 - logits_profile_predictions_loss: 92.0596 - 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[>.............................] - ETA: 8:42 - loss: 93.5356 - logits_profile_predictions_loss: 92.3967 - logcount_predictions_loss: 0.7119 42/917 [>.............................] - ETA: 8:42 - loss: 93.7408 - logits_profile_predictions_loss: 92.6020 - logcount_predictions_loss: 0.7118 43/917 [>.............................] - ETA: 8:41 - loss: 94.0483 - logits_profile_predictions_loss: 92.9152 - logcount_predictions_loss: 0.7082 44/917 [>.............................] - ETA: 8:41 - loss: 93.8980 - logits_profile_predictions_loss: 92.7678 - logcount_predictions_loss: 0.7064 45/917 [>.............................] - ETA: 8:40 - loss: 94.4776 - logits_profile_predictions_loss: 93.3511 - logcount_predictions_loss: 0.7041 46/917 [>.............................] - ETA: 8:39 - loss: 94.5327 - logits_profile_predictions_loss: 93.3923 - logcount_predictions_loss: 0.7128 47/917 [>.............................] - ETA: 8:39 - loss: 94.5975 - logits_profile_predictions_loss: 93.4515 - 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logits_profile_predictions_loss: 91.2930 - logcount_predictions_loss: 0.6943 910/917 [============================>.] - ETA: 4s - loss: 92.3983 - logits_profile_predictions_loss: 91.2873 - logcount_predictions_loss: 0.6944 911/917 [============================>.] - ETA: 3s - loss: 92.3935 - logits_profile_predictions_loss: 91.2823 - logcount_predictions_loss: 0.6945 912/917 [============================>.] - ETA: 2s - loss: 92.3812 - logits_profile_predictions_loss: 91.2698 - logcount_predictions_loss: 0.6946 913/917 [============================>.] - ETA: 2s - loss: 92.3841 - logits_profile_predictions_loss: 91.2723 - logcount_predictions_loss: 0.6949 914/917 [============================>.] - ETA: 1s - loss: 92.3988 - logits_profile_predictions_loss: 91.2865 - logcount_predictions_loss: 0.6952 915/917 [============================>.] - ETA: 1s - loss: 92.3819 - logits_profile_predictions_loss: 91.2697 - logcount_predictions_loss: 0.6952 916/917 [============================>.] - ETA: 0s - loss: 92.3811 - logits_profile_predictions_loss: 91.2687 - logcount_predictions_loss: 0.6953 917/917 [==============================] - ETA: 0s - loss: 92.3639 - logits_profile_predictions_loss: 91.2514 - logcount_predictions_loss: 0.6954 Epoch 4: val_loss improved from 109.08607 to 109.04441, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 568s 619ms/step - loss: 92.3639 - logits_profile_predictions_loss: 91.2514 - logcount_predictions_loss: 0.6954 - val_loss: 109.0444 - val_logits_profile_predictions_loss: 107.6954 - val_logcount_predictions_loss: 0.8432 Epoch 5/50 1/917 [..............................] - ETA: 9:25 - loss: 89.4143 - logits_profile_predictions_loss: 88.0739 - logcount_predictions_loss: 0.8377 2/917 [..............................] - ETA: 9:06 - loss: 92.4928 - logits_profile_predictions_loss: 91.2724 - logcount_predictions_loss: 0.7628 3/917 [..............................] - ETA: 9:05 - loss: 94.7563 - logits_profile_predictions_loss: 93.5969 - logcount_predictions_loss: 0.7247 4/917 [..............................] - ETA: 9:04 - loss: 96.8135 - logits_profile_predictions_loss: 95.7108 - logcount_predictions_loss: 0.6892 5/917 [..............................] - ETA: 9:04 - loss: 96.3157 - logits_profile_predictions_loss: 95.1916 - logcount_predictions_loss: 0.7025 6/917 [..............................] - ETA: 9:03 - loss: 94.8910 - logits_profile_predictions_loss: 93.7805 - logcount_predictions_loss: 0.6940 7/917 [..............................] - ETA: 9:02 - loss: 96.4483 - logits_profile_predictions_loss: 95.3659 - logcount_predictions_loss: 0.6765 8/917 [..............................] - ETA: 9:02 - loss: 95.4233 - logits_profile_predictions_loss: 94.3050 - logcount_predictions_loss: 0.6989 9/917 [..............................] - ETA: 9:01 - loss: 94.3742 - logits_profile_predictions_loss: 93.2673 - logcount_predictions_loss: 0.6918 10/917 [..............................] - ETA: 9:01 - loss: 92.6316 - logits_profile_predictions_loss: 91.5311 - logcount_predictions_loss: 0.6878 11/917 [..............................] - ETA: 9:00 - loss: 91.8658 - logits_profile_predictions_loss: 90.7652 - logcount_predictions_loss: 0.6878 12/917 [..............................] - ETA: 8:59 - loss: 91.7629 - logits_profile_predictions_loss: 90.6710 - logcount_predictions_loss: 0.6824 13/917 [..............................] - ETA: 8:59 - loss: 89.9736 - logits_profile_predictions_loss: 88.8744 - logcount_predictions_loss: 0.6870 14/917 [..............................] - ETA: 8:58 - loss: 90.0898 - logits_profile_predictions_loss: 88.9831 - logcount_predictions_loss: 0.6917 15/917 [..............................] - ETA: 8:58 - loss: 90.9690 - logits_profile_predictions_loss: 89.8719 - logcount_predictions_loss: 0.6856 16/917 [..............................] - ETA: 8:57 - loss: 90.7427 - logits_profile_predictions_loss: 89.6471 - logcount_predictions_loss: 0.6848 17/917 [..............................] - ETA: 8:56 - loss: 90.6866 - logits_profile_predictions_loss: 89.6011 - logcount_predictions_loss: 0.6784 18/917 [..............................] - ETA: 8:56 - loss: 91.0262 - logits_profile_predictions_loss: 89.9485 - logcount_predictions_loss: 0.6736 19/917 [..............................] - ETA: 8:55 - loss: 91.4258 - logits_profile_predictions_loss: 90.3541 - logcount_predictions_loss: 0.6698 20/917 [..............................] - ETA: 8:55 - loss: 91.0722 - logits_profile_predictions_loss: 90.0027 - logcount_predictions_loss: 0.6684 21/917 [..............................] - ETA: 8:54 - loss: 91.4313 - logits_profile_predictions_loss: 90.3459 - logcount_predictions_loss: 0.6784 22/917 [..............................] - ETA: 8:54 - loss: 91.5711 - logits_profile_predictions_loss: 90.4832 - logcount_predictions_loss: 0.6800 23/917 [..............................] - ETA: 8:53 - loss: 91.1113 - logits_profile_predictions_loss: 90.0198 - logcount_predictions_loss: 0.6822 24/917 [..............................] - ETA: 8:52 - loss: 90.1031 - logits_profile_predictions_loss: 89.0142 - logcount_predictions_loss: 0.6806 25/917 [..............................] - ETA: 8:52 - loss: 90.5611 - logits_profile_predictions_loss: 89.4892 - logcount_predictions_loss: 0.6700 26/917 [..............................] - ETA: 8:51 - loss: 90.1848 - logits_profile_predictions_loss: 89.1104 - logcount_predictions_loss: 0.6715 27/917 [..............................] - ETA: 8:51 - loss: 90.8492 - logits_profile_predictions_loss: 89.7841 - logcount_predictions_loss: 0.6657 28/917 [..............................] - ETA: 8:50 - loss: 90.1501 - logits_profile_predictions_loss: 89.0770 - logcount_predictions_loss: 0.6707 29/917 [..............................] - ETA: 8:49 - loss: 90.9425 - logits_profile_predictions_loss: 89.8425 - logcount_predictions_loss: 0.6875 30/917 [..............................] - ETA: 8:49 - loss: 91.1680 - logits_profile_predictions_loss: 90.0711 - logcount_predictions_loss: 0.6856 31/917 [>.............................] - ETA: 8:48 - loss: 90.9721 - logits_profile_predictions_loss: 89.8853 - logcount_predictions_loss: 0.6792 32/917 [>.............................] - ETA: 8:48 - loss: 90.6955 - logits_profile_predictions_loss: 89.6124 - logcount_predictions_loss: 0.6769 33/917 [>.............................] - ETA: 8:47 - loss: 90.0344 - logits_profile_predictions_loss: 88.9518 - logcount_predictions_loss: 0.6766 34/917 [>.............................] - ETA: 8:46 - loss: 90.2418 - logits_profile_predictions_loss: 89.1614 - logcount_predictions_loss: 0.6752 35/917 [>.............................] - ETA: 8:46 - loss: 90.0320 - logits_profile_predictions_loss: 88.9465 - logcount_predictions_loss: 0.6784 36/917 [>.............................] - ETA: 8:45 - loss: 90.0669 - logits_profile_predictions_loss: 88.9823 - logcount_predictions_loss: 0.6779 37/917 [>.............................] - ETA: 8:45 - loss: 89.9973 - logits_profile_predictions_loss: 88.9142 - logcount_predictions_loss: 0.6770 38/917 [>.............................] - ETA: 8:44 - loss: 90.3410 - logits_profile_predictions_loss: 89.2613 - logcount_predictions_loss: 0.6749 39/917 [>.............................] - ETA: 8:43 - loss: 90.6034 - logits_profile_predictions_loss: 89.5244 - logcount_predictions_loss: 0.6744 40/917 [>.............................] - ETA: 8:43 - loss: 90.5022 - logits_profile_predictions_loss: 89.4232 - logcount_predictions_loss: 0.6744 41/917 [>.............................] - ETA: 8:42 - loss: 90.6323 - logits_profile_predictions_loss: 89.5577 - logcount_predictions_loss: 0.6716 42/917 [>.............................] - ETA: 8:42 - loss: 90.6471 - logits_profile_predictions_loss: 89.5746 - logcount_predictions_loss: 0.6703 43/917 [>.............................] - ETA: 8:41 - loss: 90.9344 - logits_profile_predictions_loss: 89.8541 - logcount_predictions_loss: 0.6752 44/917 [>.............................] - ETA: 8:40 - loss: 90.9510 - logits_profile_predictions_loss: 89.8730 - logcount_predictions_loss: 0.6737 45/917 [>.............................] - ETA: 8:40 - loss: 90.9851 - logits_profile_predictions_loss: 89.9132 - logcount_predictions_loss: 0.6699 46/917 [>.............................] - ETA: 8:39 - loss: 90.6790 - logits_profile_predictions_loss: 89.6084 - logcount_predictions_loss: 0.6691 47/917 [>.............................] - ETA: 8:39 - loss: 90.7272 - logits_profile_predictions_loss: 89.6455 - logcount_predictions_loss: 0.6761 48/917 [>.............................] - ETA: 8:38 - loss: 90.8693 - logits_profile_predictions_loss: 89.7847 - logcount_predictions_loss: 0.6779 49/917 [>.............................] - ETA: 8:37 - loss: 91.1794 - logits_profile_predictions_loss: 90.0994 - logcount_predictions_loss: 0.6750 50/917 [>.............................] - ETA: 8:37 - loss: 91.0868 - logits_profile_predictions_loss: 90.0121 - logcount_predictions_loss: 0.6717 51/917 [>.............................] - ETA: 8:36 - loss: 91.1447 - logits_profile_predictions_loss: 90.0670 - logcount_predictions_loss: 0.6736 52/917 [>.............................] - ETA: 8:36 - loss: 91.1132 - logits_profile_predictions_loss: 90.0362 - logcount_predictions_loss: 0.6731 53/917 [>.............................] - ETA: 8:35 - loss: 90.7894 - logits_profile_predictions_loss: 89.7135 - logcount_predictions_loss: 0.6724 54/917 [>.............................] - ETA: 8:34 - loss: 90.5561 - logits_profile_predictions_loss: 89.4834 - logcount_predictions_loss: 0.6704 55/917 [>.............................] - ETA: 8:34 - loss: 90.7008 - logits_profile_predictions_loss: 89.6242 - logcount_predictions_loss: 0.6728 56/917 [>.............................] - ETA: 8:33 - loss: 90.7042 - logits_profile_predictions_loss: 89.6350 - logcount_predictions_loss: 0.6683 57/917 [>.............................] - ETA: 8:33 - loss: 90.6029 - logits_profile_predictions_loss: 89.5358 - logcount_predictions_loss: 0.6669 58/917 [>.............................] - ETA: 8:32 - loss: 90.8221 - logits_profile_predictions_loss: 89.7591 - logcount_predictions_loss: 0.6644 59/917 [>.............................] - ETA: 8:32 - loss: 90.6573 - logits_profile_predictions_loss: 89.5989 - logcount_predictions_loss: 0.6615 60/917 [>.............................] - ETA: 8:31 - loss: 90.7479 - logits_profile_predictions_loss: 89.6916 - logcount_predictions_loss: 0.6601 61/917 [>.............................] - ETA: 8:30 - loss: 90.6626 - logits_profile_predictions_loss: 89.6081 - logcount_predictions_loss: 0.6591 62/917 [=>............................] - ETA: 8:30 - loss: 90.9469 - logits_profile_predictions_loss: 89.8944 - logcount_predictions_loss: 0.6578 63/917 [=>............................] - ETA: 8:29 - loss: 90.9651 - logits_profile_predictions_loss: 89.9141 - logcount_predictions_loss: 0.6569 64/917 [=>............................] - ETA: 8:29 - loss: 90.9992 - logits_profile_predictions_loss: 89.9525 - logcount_predictions_loss: 0.6542 65/917 [=>............................] - ETA: 8:28 - loss: 90.7383 - logits_profile_predictions_loss: 89.6938 - logcount_predictions_loss: 0.6528 66/917 [=>............................] - ETA: 8:27 - loss: 90.8570 - logits_profile_predictions_loss: 89.8084 - logcount_predictions_loss: 0.6554 67/917 [=>............................] - ETA: 8:27 - loss: 90.8541 - logits_profile_predictions_loss: 89.8065 - logcount_predictions_loss: 0.6548 68/917 [=>............................] - ETA: 8:26 - loss: 90.5738 - logits_profile_predictions_loss: 89.5264 - logcount_predictions_loss: 0.6546 69/917 [=>............................] - ETA: 8:26 - loss: 90.5989 - logits_profile_predictions_loss: 89.5541 - logcount_predictions_loss: 0.6530 70/917 [=>............................] - ETA: 8:25 - loss: 90.6061 - logits_profile_predictions_loss: 89.5599 - logcount_predictions_loss: 0.6539 71/917 [=>............................] - ETA: 8:24 - loss: 90.4617 - logits_profile_predictions_loss: 89.4130 - logcount_predictions_loss: 0.6554 72/917 [=>............................] - ETA: 8:24 - loss: 90.6234 - logits_profile_predictions_loss: 89.5677 - logcount_predictions_loss: 0.6598 73/917 [=>............................] - ETA: 8:23 - loss: 90.5138 - logits_profile_predictions_loss: 89.4594 - logcount_predictions_loss: 0.6590 74/917 [=>............................] - ETA: 8:23 - loss: 90.4031 - logits_profile_predictions_loss: 89.3528 - logcount_predictions_loss: 0.6565 75/917 [=>............................] - ETA: 8:22 - loss: 90.5116 - logits_profile_predictions_loss: 89.4519 - logcount_predictions_loss: 0.6623 76/917 [=>............................] - ETA: 8:21 - loss: 90.7773 - logits_profile_predictions_loss: 89.7174 - logcount_predictions_loss: 0.6624 77/917 [=>............................] - ETA: 8:21 - loss: 91.1755 - logits_profile_predictions_loss: 90.1059 - logcount_predictions_loss: 0.6685 78/917 [=>............................] - ETA: 8:20 - loss: 91.2139 - logits_profile_predictions_loss: 90.1447 - logcount_predictions_loss: 0.6683 79/917 [=>............................] - ETA: 8:20 - loss: 91.4910 - logits_profile_predictions_loss: 90.4220 - logcount_predictions_loss: 0.6681 80/917 [=>............................] - ETA: 8:19 - loss: 91.5330 - logits_profile_predictions_loss: 90.4541 - logcount_predictions_loss: 0.6743 81/917 [=>............................] - ETA: 8:18 - loss: 91.6869 - logits_profile_predictions_loss: 90.5973 - logcount_predictions_loss: 0.6810 82/917 [=>............................] - ETA: 8:18 - loss: 91.6511 - logits_profile_predictions_loss: 90.5595 - logcount_predictions_loss: 0.6822 83/917 [=>............................] - ETA: 8:17 - loss: 91.6251 - logits_profile_predictions_loss: 90.5315 - logcount_predictions_loss: 0.6835 84/917 [=>............................] - ETA: 8:17 - loss: 91.8551 - logits_profile_predictions_loss: 90.7560 - logcount_predictions_loss: 0.6869 85/917 [=>............................] - ETA: 8:16 - loss: 91.8013 - logits_profile_predictions_loss: 90.7023 - logcount_predictions_loss: 0.6869 86/917 [=>............................] - ETA: 8:15 - loss: 91.9318 - logits_profile_predictions_loss: 90.8344 - logcount_predictions_loss: 0.6859 87/917 [=>............................] - ETA: 8:15 - loss: 92.1240 - logits_profile_predictions_loss: 91.0248 - logcount_predictions_loss: 0.6870 88/917 [=>............................] - ETA: 8:14 - loss: 92.1107 - logits_profile_predictions_loss: 91.0088 - logcount_predictions_loss: 0.6887 89/917 [=>............................] - ETA: 8:14 - loss: 92.0157 - logits_profile_predictions_loss: 90.9170 - logcount_predictions_loss: 0.6867 90/917 [=>............................] - ETA: 8:13 - loss: 91.9302 - logits_profile_predictions_loss: 90.8324 - logcount_predictions_loss: 0.6861 91/917 [=>............................] - ETA: 8:12 - loss: 91.8960 - logits_profile_predictions_loss: 90.7975 - logcount_predictions_loss: 0.6866 92/917 [==>...........................] - ETA: 8:12 - loss: 91.7498 - logits_profile_predictions_loss: 90.6519 - logcount_predictions_loss: 0.6862 93/917 [==>...........................] - ETA: 8:11 - loss: 91.8129 - logits_profile_predictions_loss: 90.7142 - logcount_predictions_loss: 0.6867 94/917 [==>...........................] - ETA: 8:11 - loss: 91.7459 - logits_profile_predictions_loss: 90.6483 - logcount_predictions_loss: 0.6860 95/917 [==>...........................] - ETA: 8:10 - loss: 91.5962 - logits_profile_predictions_loss: 90.4981 - logcount_predictions_loss: 0.6863 96/917 [==>...........................] - ETA: 8:09 - loss: 91.7097 - logits_profile_predictions_loss: 90.6130 - logcount_predictions_loss: 0.6855 97/917 [==>...........................] - 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[==>...........................] - ETA: 8:05 - loss: 91.6777 - logits_profile_predictions_loss: 90.5798 - logcount_predictions_loss: 0.6862 105/917 [==>...........................] - ETA: 8:04 - loss: 91.5768 - logits_profile_predictions_loss: 90.4798 - logcount_predictions_loss: 0.6856 106/917 [==>...........................] - ETA: 8:03 - loss: 91.4326 - logits_profile_predictions_loss: 90.3379 - logcount_predictions_loss: 0.6842 107/917 [==>...........................] - ETA: 8:03 - loss: 91.2082 - logits_profile_predictions_loss: 90.1178 - logcount_predictions_loss: 0.6815 108/917 [==>...........................] - ETA: 8:02 - loss: 91.1268 - logits_profile_predictions_loss: 90.0337 - logcount_predictions_loss: 0.6831 109/917 [==>...........................] - ETA: 8:02 - loss: 91.2152 - logits_profile_predictions_loss: 90.1169 - logcount_predictions_loss: 0.6864 110/917 [==>...........................] - ETA: 8:01 - loss: 91.2316 - logits_profile_predictions_loss: 90.1329 - logcount_predictions_loss: 0.6867 111/917 [==>...........................] - ETA: 8:01 - loss: 91.1555 - logits_profile_predictions_loss: 90.0575 - logcount_predictions_loss: 0.6862 112/917 [==>...........................] - ETA: 8:00 - loss: 91.2502 - logits_profile_predictions_loss: 90.1543 - logcount_predictions_loss: 0.6850 113/917 [==>...........................] - ETA: 7:59 - loss: 91.2980 - logits_profile_predictions_loss: 90.2026 - logcount_predictions_loss: 0.6846 114/917 [==>...........................] - ETA: 7:59 - loss: 91.3892 - logits_profile_predictions_loss: 90.2943 - logcount_predictions_loss: 0.6843 115/917 [==>...........................] - ETA: 7:58 - loss: 91.3556 - logits_profile_predictions_loss: 90.2596 - logcount_predictions_loss: 0.6850 116/917 [==>...........................] - ETA: 7:58 - loss: 91.4107 - logits_profile_predictions_loss: 90.3183 - logcount_predictions_loss: 0.6827 117/917 [==>...........................] - ETA: 7:57 - loss: 91.6921 - 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[===>..........................] - ETA: 7:53 - loss: 91.2122 - logits_profile_predictions_loss: 90.1223 - logcount_predictions_loss: 0.6812 125/917 [===>..........................] - ETA: 7:52 - loss: 91.1773 - logits_profile_predictions_loss: 90.0858 - logcount_predictions_loss: 0.6822 126/917 [===>..........................] - ETA: 7:52 - loss: 91.0772 - logits_profile_predictions_loss: 89.9878 - logcount_predictions_loss: 0.6809 127/917 [===>..........................] - ETA: 7:51 - loss: 91.0230 - logits_profile_predictions_loss: 89.9357 - logcount_predictions_loss: 0.6796 128/917 [===>..........................] - ETA: 7:50 - loss: 90.9920 - logits_profile_predictions_loss: 89.9056 - logcount_predictions_loss: 0.6790 129/917 [===>..........................] - ETA: 7:50 - loss: 90.9316 - logits_profile_predictions_loss: 89.8457 - logcount_predictions_loss: 0.6787 130/917 [===>..........................] - ETA: 7:49 - loss: 90.9520 - logits_profile_predictions_loss: 89.8659 - 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[===========================>..] - ETA: 19s - loss: 91.4184 - logits_profile_predictions_loss: 90.3410 - logcount_predictions_loss: 0.6733 886/917 [===========================>..] - ETA: 18s - loss: 91.4210 - logits_profile_predictions_loss: 90.3437 - logcount_predictions_loss: 0.6733 887/917 [============================>.] - ETA: 17s - loss: 91.4265 - logits_profile_predictions_loss: 90.3495 - logcount_predictions_loss: 0.6731 888/917 [============================>.] - ETA: 17s - loss: 91.4339 - logits_profile_predictions_loss: 90.3569 - logcount_predictions_loss: 0.6731 889/917 [============================>.] - ETA: 16s - loss: 91.4331 - logits_profile_predictions_loss: 90.3563 - logcount_predictions_loss: 0.6730 890/917 [============================>.] - ETA: 16s - loss: 91.4527 - logits_profile_predictions_loss: 90.3755 - logcount_predictions_loss: 0.6732 891/917 [============================>.] - ETA: 15s - loss: 91.4611 - logits_profile_predictions_loss: 90.3842 - 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[============================>.] - ETA: 2s - loss: 91.5238 - logits_profile_predictions_loss: 90.4472 - logcount_predictions_loss: 0.6729 913/917 [============================>.] - ETA: 2s - loss: 91.5413 - logits_profile_predictions_loss: 90.4646 - logcount_predictions_loss: 0.6729 914/917 [============================>.] - ETA: 1s - loss: 91.5342 - logits_profile_predictions_loss: 90.4577 - logcount_predictions_loss: 0.6728 915/917 [============================>.] - ETA: 1s - loss: 91.5322 - logits_profile_predictions_loss: 90.4560 - logcount_predictions_loss: 0.6726 916/917 [============================>.] - ETA: 0s - loss: 91.5222 - logits_profile_predictions_loss: 90.4463 - logcount_predictions_loss: 0.6725 917/917 [==============================] - ETA: 0s - loss: 91.5267 - logits_profile_predictions_loss: 90.4508 - logcount_predictions_loss: 0.6724 Epoch 5: val_loss improved from 109.04441 to 108.59195, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 568s 619ms/step - loss: 91.5267 - logits_profile_predictions_loss: 90.4508 - logcount_predictions_loss: 0.6724 - val_loss: 108.5919 - val_logits_profile_predictions_loss: 107.5713 - val_logcount_predictions_loss: 0.6379 Epoch 6/50 1/917 [..............................] - ETA: 9:20 - loss: 104.3207 - logits_profile_predictions_loss: 103.2597 - logcount_predictions_loss: 0.6631 2/917 [..............................] - ETA: 9:05 - loss: 99.0913 - logits_profile_predictions_loss: 97.9790 - logcount_predictions_loss: 0.6952  3/917 [..............................] - ETA: 9:05 - loss: 96.4082 - logits_profile_predictions_loss: 95.4036 - logcount_predictions_loss: 0.6279 4/917 [..............................] - ETA: 9:04 - loss: 89.3266 - logits_profile_predictions_loss: 88.3839 - logcount_predictions_loss: 0.5892 5/917 [..............................] - ETA: 9:04 - loss: 87.3643 - logits_profile_predictions_loss: 86.3777 - logcount_predictions_loss: 0.6166 6/917 [..............................] - ETA: 9:03 - loss: 85.8266 - logits_profile_predictions_loss: 84.8174 - logcount_predictions_loss: 0.6308 7/917 [..............................] - ETA: 9:02 - loss: 90.5865 - logits_profile_predictions_loss: 89.5538 - logcount_predictions_loss: 0.6454 8/917 [..............................] - ETA: 9:02 - loss: 90.1387 - logits_profile_predictions_loss: 89.1212 - logcount_predictions_loss: 0.6360 9/917 [..............................] - ETA: 9:01 - loss: 87.5782 - logits_profile_predictions_loss: 86.5023 - logcount_predictions_loss: 0.6724 10/917 [..............................] - ETA: 9:01 - loss: 87.1107 - logits_profile_predictions_loss: 86.0726 - logcount_predictions_loss: 0.6488 11/917 [..............................] - ETA: 9:00 - loss: 88.4004 - logits_profile_predictions_loss: 87.3627 - 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[>.............................] - ETA: 8:47 - loss: 93.2330 - logits_profile_predictions_loss: 92.1761 - logcount_predictions_loss: 0.6606 33/917 [>.............................] - ETA: 8:47 - loss: 92.9780 - logits_profile_predictions_loss: 91.9107 - logcount_predictions_loss: 0.6670 34/917 [>.............................] - ETA: 8:46 - loss: 92.9453 - logits_profile_predictions_loss: 91.8815 - logcount_predictions_loss: 0.6649 35/917 [>.............................] - ETA: 8:46 - loss: 93.0590 - logits_profile_predictions_loss: 91.9986 - logcount_predictions_loss: 0.6627 36/917 [>.............................] - ETA: 8:45 - loss: 92.5898 - logits_profile_predictions_loss: 91.5158 - logcount_predictions_loss: 0.6713 37/917 [>.............................] - ETA: 8:44 - loss: 92.5346 - logits_profile_predictions_loss: 91.4621 - logcount_predictions_loss: 0.6703 38/917 [>.............................] - ETA: 8:44 - loss: 92.4442 - logits_profile_predictions_loss: 91.3780 - 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[>.............................] - ETA: 8:31 - loss: 91.8440 - logits_profile_predictions_loss: 90.8164 - logcount_predictions_loss: 0.6422 60/917 [>.............................] - ETA: 8:31 - loss: 91.8865 - logits_profile_predictions_loss: 90.8589 - logcount_predictions_loss: 0.6422 61/917 [>.............................] - ETA: 8:30 - loss: 91.6940 - logits_profile_predictions_loss: 90.6634 - logcount_predictions_loss: 0.6441 62/917 [=>............................] - ETA: 8:30 - loss: 91.5528 - logits_profile_predictions_loss: 90.5276 - logcount_predictions_loss: 0.6408 63/917 [=>............................] - ETA: 8:29 - loss: 91.4605 - logits_profile_predictions_loss: 90.4358 - logcount_predictions_loss: 0.6405 64/917 [=>............................] - ETA: 8:28 - loss: 91.3091 - logits_profile_predictions_loss: 90.2880 - logcount_predictions_loss: 0.6382 65/917 [=>............................] - ETA: 8:28 - loss: 91.4212 - logits_profile_predictions_loss: 90.3979 - 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logcount_predictions_loss: 0.6419 113/917 [==>...........................] - ETA: 7:59 - loss: 91.0942 - logits_profile_predictions_loss: 90.0696 - logcount_predictions_loss: 0.6404 114/917 [==>...........................] - ETA: 7:59 - loss: 91.1505 - logits_profile_predictions_loss: 90.1275 - logcount_predictions_loss: 0.6394 115/917 [==>...........................] - ETA: 7:58 - loss: 90.9671 - logits_profile_predictions_loss: 89.9440 - logcount_predictions_loss: 0.6394 116/917 [==>...........................] - ETA: 7:57 - loss: 90.9327 - logits_profile_predictions_loss: 89.9082 - logcount_predictions_loss: 0.6403 117/917 [==>...........................] - ETA: 7:57 - loss: 90.8037 - logits_profile_predictions_loss: 89.7767 - logcount_predictions_loss: 0.6418 118/917 [==>...........................] - ETA: 7:56 - loss: 90.9498 - logits_profile_predictions_loss: 89.9214 - logcount_predictions_loss: 0.6427 119/917 [==>...........................] - ETA: 7:56 - loss: 90.9023 - 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[====>.........................] - ETA: 7:28 - loss: 90.2766 - logits_profile_predictions_loss: 89.2509 - logcount_predictions_loss: 0.6410 167/917 [====>.........................] - ETA: 7:27 - loss: 90.2664 - logits_profile_predictions_loss: 89.2389 - logcount_predictions_loss: 0.6422 168/917 [====>.........................] - ETA: 7:26 - loss: 90.2027 - logits_profile_predictions_loss: 89.1756 - logcount_predictions_loss: 0.6419 169/917 [====>.........................] - ETA: 7:26 - loss: 90.2521 - logits_profile_predictions_loss: 89.2253 - logcount_predictions_loss: 0.6417 170/917 [====>.........................] - ETA: 7:25 - loss: 90.2428 - logits_profile_predictions_loss: 89.2173 - logcount_predictions_loss: 0.6409 171/917 [====>.........................] - ETA: 7:25 - loss: 90.2072 - logits_profile_predictions_loss: 89.1813 - logcount_predictions_loss: 0.6412 172/917 [====>.........................] - ETA: 7:24 - loss: 90.2192 - logits_profile_predictions_loss: 89.1942 - 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[=====>........................] - ETA: 7:16 - loss: 90.1250 - logits_profile_predictions_loss: 89.1060 - logcount_predictions_loss: 0.6369 187/917 [=====>........................] - ETA: 7:15 - loss: 90.1909 - logits_profile_predictions_loss: 89.1730 - logcount_predictions_loss: 0.6362 188/917 [=====>........................] - ETA: 7:14 - loss: 90.1976 - logits_profile_predictions_loss: 89.1788 - logcount_predictions_loss: 0.6367 189/917 [=====>........................] - ETA: 7:14 - loss: 90.1796 - logits_profile_predictions_loss: 89.1600 - logcount_predictions_loss: 0.6373 190/917 [=====>........................] - ETA: 7:13 - loss: 90.2204 - logits_profile_predictions_loss: 89.2017 - logcount_predictions_loss: 0.6366 191/917 [=====>........................] - ETA: 7:13 - loss: 90.2347 - logits_profile_predictions_loss: 89.2170 - logcount_predictions_loss: 0.6361 192/917 [=====>........................] - ETA: 7:12 - loss: 90.2391 - logits_profile_predictions_loss: 89.2221 - 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ETA: 5s - loss: 90.8934 - logits_profile_predictions_loss: 89.8758 - logcount_predictions_loss: 0.6360 908/917 [============================>.] - ETA: 5s - loss: 90.8764 - logits_profile_predictions_loss: 89.8588 - logcount_predictions_loss: 0.6360 909/917 [============================>.] - ETA: 4s - loss: 90.8852 - logits_profile_predictions_loss: 89.8677 - logcount_predictions_loss: 0.6360 910/917 [============================>.] - ETA: 4s - loss: 90.9023 - logits_profile_predictions_loss: 89.8849 - logcount_predictions_loss: 0.6359 911/917 [============================>.] - ETA: 3s - loss: 90.9034 - logits_profile_predictions_loss: 89.8860 - logcount_predictions_loss: 0.6359 912/917 [============================>.] - ETA: 2s - loss: 90.8820 - logits_profile_predictions_loss: 89.8645 - logcount_predictions_loss: 0.6359 913/917 [============================>.] - ETA: 2s - loss: 90.8826 - logits_profile_predictions_loss: 89.8649 - logcount_predictions_loss: 0.6361 914/917 [============================>.] - ETA: 1s - loss: 90.8956 - logits_profile_predictions_loss: 89.8778 - logcount_predictions_loss: 0.6362 915/917 [============================>.] - ETA: 1s - loss: 90.8880 - logits_profile_predictions_loss: 89.8704 - logcount_predictions_loss: 0.6361 916/917 [============================>.] - ETA: 0s - loss: 90.8909 - logits_profile_predictions_loss: 89.8732 - logcount_predictions_loss: 0.6361 917/917 [==============================] - ETA: 0s - loss: 90.8844 - logits_profile_predictions_loss: 89.8663 - logcount_predictions_loss: 0.6364 Epoch 6: val_loss did not improve from 108.59195  917/917 [==============================] - 568s 619ms/step - loss: 90.8844 - logits_profile_predictions_loss: 89.8663 - logcount_predictions_loss: 0.6364 - val_loss: 108.8811 - val_logits_profile_predictions_loss: 107.7609 - val_logcount_predictions_loss: 0.7002 Epoch 7/50 1/917 [..............................] - ETA: 9:23 - loss: 105.7294 - logits_profile_predictions_loss: 104.9242 - logcount_predictions_loss: 0.5032 2/917 [..............................] - ETA: 9:06 - loss: 101.8008 - logits_profile_predictions_loss: 100.9452 - logcount_predictions_loss: 0.5348 3/917 [..............................] - ETA: 9:05 - loss: 97.8079 - logits_profile_predictions_loss: 96.8697 - logcount_predictions_loss: 0.5864  4/917 [..............................] - ETA: 9:04 - loss: 93.0316 - logits_profile_predictions_loss: 92.1435 - logcount_predictions_loss: 0.5550 5/917 [..............................] - ETA: 9:04 - loss: 93.5181 - logits_profile_predictions_loss: 92.6658 - logcount_predictions_loss: 0.5327 6/917 [..............................] - ETA: 9:03 - loss: 94.3250 - logits_profile_predictions_loss: 93.4288 - logcount_predictions_loss: 0.5601 7/917 [..............................] - ETA: 9:02 - loss: 95.2433 - logits_profile_predictions_loss: 94.3282 - logcount_predictions_loss: 0.5719 8/917 [..............................] - ETA: 9:02 - loss: 96.0959 - logits_profile_predictions_loss: 95.1794 - logcount_predictions_loss: 0.5728 9/917 [..............................] - ETA: 9:01 - loss: 98.9337 - logits_profile_predictions_loss: 97.9981 - logcount_predictions_loss: 0.5848 10/917 [..............................] - ETA: 9:01 - loss: 96.2776 - logits_profile_predictions_loss: 95.3465 - logcount_predictions_loss: 0.5819 11/917 [..............................] - ETA: 9:00 - loss: 93.8588 - logits_profile_predictions_loss: 92.9343 - logcount_predictions_loss: 0.5778 12/917 [..............................] - ETA: 8:59 - loss: 94.0853 - logits_profile_predictions_loss: 93.1531 - logcount_predictions_loss: 0.5826 13/917 [..............................] - ETA: 8:59 - loss: 93.7771 - logits_profile_predictions_loss: 92.8285 - logcount_predictions_loss: 0.5929 14/917 [..............................] - ETA: 8:58 - loss: 94.2258 - logits_profile_predictions_loss: 93.2875 - logcount_predictions_loss: 0.5864 15/917 [..............................] - ETA: 8:58 - loss: 94.2903 - logits_profile_predictions_loss: 93.3565 - logcount_predictions_loss: 0.5836 16/917 [..............................] - ETA: 8:57 - loss: 94.0938 - logits_profile_predictions_loss: 93.1505 - logcount_predictions_loss: 0.5895 17/917 [..............................] - ETA: 8:56 - loss: 93.0341 - logits_profile_predictions_loss: 92.0761 - logcount_predictions_loss: 0.5988 18/917 [..............................] - ETA: 8:56 - loss: 91.9132 - logits_profile_predictions_loss: 90.9522 - logcount_predictions_loss: 0.6006 19/917 [..............................] - ETA: 8:55 - loss: 91.0741 - logits_profile_predictions_loss: 90.1035 - logcount_predictions_loss: 0.6066 20/917 [..............................] - ETA: 8:55 - loss: 91.3046 - logits_profile_predictions_loss: 90.2941 - logcount_predictions_loss: 0.6315 21/917 [..............................] - ETA: 8:54 - loss: 91.7959 - logits_profile_predictions_loss: 90.7738 - logcount_predictions_loss: 0.6388 22/917 [..............................] - ETA: 8:53 - loss: 92.1920 - logits_profile_predictions_loss: 91.1753 - logcount_predictions_loss: 0.6354 23/917 [..............................] - ETA: 8:53 - loss: 92.3960 - logits_profile_predictions_loss: 91.3136 - logcount_predictions_loss: 0.6765 24/917 [..............................] - ETA: 8:52 - loss: 93.2123 - logits_profile_predictions_loss: 92.1362 - logcount_predictions_loss: 0.6726 25/917 [..............................] - ETA: 8:52 - loss: 92.7696 - logits_profile_predictions_loss: 91.6875 - logcount_predictions_loss: 0.6763 26/917 [..............................] - ETA: 8:51 - loss: 92.6096 - logits_profile_predictions_loss: 91.5096 - logcount_predictions_loss: 0.6875 27/917 [..............................] - ETA: 8:50 - loss: 92.5356 - logits_profile_predictions_loss: 91.4243 - logcount_predictions_loss: 0.6945 28/917 [..............................] - ETA: 8:50 - loss: 93.6997 - logits_profile_predictions_loss: 92.5689 - logcount_predictions_loss: 0.7068 29/917 [..............................] - ETA: 8:49 - loss: 93.4030 - logits_profile_predictions_loss: 92.2835 - logcount_predictions_loss: 0.6997 30/917 [..............................] - ETA: 8:49 - loss: 92.9084 - logits_profile_predictions_loss: 91.7775 - logcount_predictions_loss: 0.7068 31/917 [>.............................] - ETA: 8:48 - loss: 92.6766 - logits_profile_predictions_loss: 91.5110 - logcount_predictions_loss: 0.7285 32/917 [>.............................] - ETA: 8:47 - loss: 92.4309 - logits_profile_predictions_loss: 91.2589 - logcount_predictions_loss: 0.7325 33/917 [>.............................] - ETA: 8:47 - loss: 92.2896 - logits_profile_predictions_loss: 91.1170 - logcount_predictions_loss: 0.7329 34/917 [>.............................] - ETA: 8:46 - loss: 92.2172 - logits_profile_predictions_loss: 91.0369 - logcount_predictions_loss: 0.7377 35/917 [>.............................] - ETA: 8:46 - loss: 92.0788 - logits_profile_predictions_loss: 90.8927 - logcount_predictions_loss: 0.7413 36/917 [>.............................] - ETA: 8:45 - loss: 92.4464 - logits_profile_predictions_loss: 91.2339 - logcount_predictions_loss: 0.7578 37/917 [>.............................] - ETA: 8:45 - loss: 91.7177 - logits_profile_predictions_loss: 90.5101 - logcount_predictions_loss: 0.7548 38/917 [>.............................] - ETA: 8:44 - loss: 91.7500 - logits_profile_predictions_loss: 90.5367 - logcount_predictions_loss: 0.7583 39/917 [>.............................] - ETA: 8:43 - loss: 90.9864 - logits_profile_predictions_loss: 89.7830 - logcount_predictions_loss: 0.7521 40/917 [>.............................] - ETA: 8:43 - loss: 91.4266 - logits_profile_predictions_loss: 90.2288 - logcount_predictions_loss: 0.7486 41/917 [>.............................] - ETA: 8:42 - loss: 91.6895 - logits_profile_predictions_loss: 90.4933 - logcount_predictions_loss: 0.7476 42/917 [>.............................] - ETA: 8:42 - loss: 91.8215 - logits_profile_predictions_loss: 90.6217 - logcount_predictions_loss: 0.7499 43/917 [>.............................] - ETA: 8:41 - loss: 91.7091 - logits_profile_predictions_loss: 90.5152 - logcount_predictions_loss: 0.7462 44/917 [>.............................] - ETA: 8:40 - loss: 91.8258 - logits_profile_predictions_loss: 90.6383 - logcount_predictions_loss: 0.7422 45/917 [>.............................] - ETA: 8:40 - loss: 91.8723 - logits_profile_predictions_loss: 90.6716 - logcount_predictions_loss: 0.7504 46/917 [>.............................] - ETA: 8:39 - loss: 91.9749 - logits_profile_predictions_loss: 90.7709 - logcount_predictions_loss: 0.7525 47/917 [>.............................] - ETA: 8:39 - loss: 91.8848 - logits_profile_predictions_loss: 90.6841 - logcount_predictions_loss: 0.7505 48/917 [>.............................] - ETA: 8:38 - loss: 91.7250 - logits_profile_predictions_loss: 90.5262 - logcount_predictions_loss: 0.7492 49/917 [>.............................] - ETA: 8:37 - loss: 91.5489 - logits_profile_predictions_loss: 90.3583 - logcount_predictions_loss: 0.7441 50/917 [>.............................] - ETA: 8:37 - loss: 91.4467 - logits_profile_predictions_loss: 90.2632 - logcount_predictions_loss: 0.7396 51/917 [>.............................] - ETA: 8:36 - loss: 91.6438 - logits_profile_predictions_loss: 90.4626 - logcount_predictions_loss: 0.7382 52/917 [>.............................] - ETA: 8:36 - loss: 91.6503 - logits_profile_predictions_loss: 90.4774 - logcount_predictions_loss: 0.7330 53/917 [>.............................] - ETA: 8:35 - loss: 91.6558 - logits_profile_predictions_loss: 90.4797 - logcount_predictions_loss: 0.7350 54/917 [>.............................] - ETA: 8:34 - loss: 91.6448 - logits_profile_predictions_loss: 90.4734 - logcount_predictions_loss: 0.7321 55/917 [>.............................] - ETA: 8:34 - loss: 91.5986 - logits_profile_predictions_loss: 90.4337 - logcount_predictions_loss: 0.7281 56/917 [>.............................] - ETA: 8:33 - loss: 91.6456 - logits_profile_predictions_loss: 90.4861 - logcount_predictions_loss: 0.7247 57/917 [>.............................] - ETA: 8:33 - loss: 91.4408 - logits_profile_predictions_loss: 90.2812 - logcount_predictions_loss: 0.7247 58/917 [>.............................] - ETA: 8:32 - loss: 91.5493 - logits_profile_predictions_loss: 90.3879 - logcount_predictions_loss: 0.7259 59/917 [>.............................] - ETA: 8:31 - loss: 91.4195 - logits_profile_predictions_loss: 90.2656 - logcount_predictions_loss: 0.7212 60/917 [>.............................] - ETA: 8:31 - loss: 91.2348 - logits_profile_predictions_loss: 90.0827 - logcount_predictions_loss: 0.7201 61/917 [>.............................] - ETA: 8:30 - loss: 91.2741 - logits_profile_predictions_loss: 90.1228 - logcount_predictions_loss: 0.7196 62/917 [=>............................] - ETA: 8:30 - loss: 91.1379 - logits_profile_predictions_loss: 89.9905 - logcount_predictions_loss: 0.7171 63/917 [=>............................] - ETA: 8:29 - loss: 90.9708 - logits_profile_predictions_loss: 89.8263 - logcount_predictions_loss: 0.7154 64/917 [=>............................] - ETA: 8:28 - loss: 91.3597 - logits_profile_predictions_loss: 90.2194 - logcount_predictions_loss: 0.7126 65/917 [=>............................] - ETA: 8:28 - loss: 91.2215 - logits_profile_predictions_loss: 90.0815 - logcount_predictions_loss: 0.7125 66/917 [=>............................] - ETA: 8:27 - loss: 91.1106 - logits_profile_predictions_loss: 89.9733 - logcount_predictions_loss: 0.7108 67/917 [=>............................] - ETA: 8:27 - loss: 91.0896 - logits_profile_predictions_loss: 89.9533 - logcount_predictions_loss: 0.7102 68/917 [=>............................] - ETA: 8:26 - loss: 90.8878 - logits_profile_predictions_loss: 89.7547 - logcount_predictions_loss: 0.7081 69/917 [=>............................] - ETA: 8:25 - loss: 90.7309 - logits_profile_predictions_loss: 89.6035 - logcount_predictions_loss: 0.7046 70/917 [=>............................] - ETA: 8:25 - loss: 90.5904 - logits_profile_predictions_loss: 89.4672 - logcount_predictions_loss: 0.7020 71/917 [=>............................] - ETA: 8:24 - loss: 90.6020 - logits_profile_predictions_loss: 89.4790 - logcount_predictions_loss: 0.7019 72/917 [=>............................] - ETA: 8:24 - loss: 90.5536 - logits_profile_predictions_loss: 89.4311 - logcount_predictions_loss: 0.7016 73/917 [=>............................] - ETA: 8:23 - loss: 90.7414 - logits_profile_predictions_loss: 89.6204 - logcount_predictions_loss: 0.7006 74/917 [=>............................] - ETA: 8:22 - loss: 90.7624 - logits_profile_predictions_loss: 89.6429 - logcount_predictions_loss: 0.6997 75/917 [=>............................] - ETA: 8:22 - loss: 90.6832 - logits_profile_predictions_loss: 89.5649 - logcount_predictions_loss: 0.6989 76/917 [=>............................] - ETA: 8:21 - loss: 90.4983 - logits_profile_predictions_loss: 89.3836 - logcount_predictions_loss: 0.6967 77/917 [=>............................] - ETA: 8:21 - loss: 90.3290 - logits_profile_predictions_loss: 89.2166 - logcount_predictions_loss: 0.6952 78/917 [=>............................] - ETA: 8:20 - loss: 90.3478 - logits_profile_predictions_loss: 89.2391 - logcount_predictions_loss: 0.6929 79/917 [=>............................] - ETA: 8:19 - loss: 90.5536 - logits_profile_predictions_loss: 89.4453 - logcount_predictions_loss: 0.6927 80/917 [=>............................] - ETA: 8:19 - loss: 90.6121 - logits_profile_predictions_loss: 89.5021 - logcount_predictions_loss: 0.6938 81/917 [=>............................] - ETA: 8:18 - loss: 90.7193 - logits_profile_predictions_loss: 89.6157 - logcount_predictions_loss: 0.6898 82/917 [=>............................] - ETA: 8:18 - loss: 90.8586 - logits_profile_predictions_loss: 89.7582 - logcount_predictions_loss: 0.6877 83/917 [=>............................] - ETA: 8:17 - loss: 90.6893 - logits_profile_predictions_loss: 89.5912 - logcount_predictions_loss: 0.6863 84/917 [=>............................] - ETA: 8:17 - loss: 90.7838 - logits_profile_predictions_loss: 89.6858 - logcount_predictions_loss: 0.6863 85/917 [=>............................] - ETA: 8:16 - loss: 90.9420 - logits_profile_predictions_loss: 89.8411 - logcount_predictions_loss: 0.6881 86/917 [=>............................] - ETA: 8:15 - loss: 90.9283 - logits_profile_predictions_loss: 89.8274 - logcount_predictions_loss: 0.6881 87/917 [=>............................] - ETA: 8:15 - loss: 91.0532 - logits_profile_predictions_loss: 89.9506 - logcount_predictions_loss: 0.6891 88/917 [=>............................] - ETA: 8:14 - loss: 91.1832 - logits_profile_predictions_loss: 90.0804 - logcount_predictions_loss: 0.6892 89/917 [=>............................] - ETA: 8:14 - loss: 91.1310 - logits_profile_predictions_loss: 90.0314 - logcount_predictions_loss: 0.6872 90/917 [=>............................] - ETA: 8:13 - loss: 90.9928 - logits_profile_predictions_loss: 89.8939 - logcount_predictions_loss: 0.6868 91/917 [=>............................] - ETA: 8:12 - loss: 90.7587 - logits_profile_predictions_loss: 89.6626 - logcount_predictions_loss: 0.6851 92/917 [==>...........................] - ETA: 8:12 - loss: 90.7942 - logits_profile_predictions_loss: 89.6986 - logcount_predictions_loss: 0.6848 93/917 [==>...........................] - ETA: 8:11 - loss: 90.8087 - logits_profile_predictions_loss: 89.7135 - logcount_predictions_loss: 0.6845 94/917 [==>...........................] - ETA: 8:11 - loss: 90.7056 - logits_profile_predictions_loss: 89.6126 - logcount_predictions_loss: 0.6831 95/917 [==>...........................] - ETA: 8:10 - loss: 90.8688 - logits_profile_predictions_loss: 89.7756 - logcount_predictions_loss: 0.6832 96/917 [==>...........................] - ETA: 8:09 - loss: 90.8730 - logits_profile_predictions_loss: 89.7788 - logcount_predictions_loss: 0.6838 97/917 [==>...........................] - ETA: 8:09 - loss: 90.7586 - logits_profile_predictions_loss: 89.6639 - logcount_predictions_loss: 0.6842 98/917 [==>...........................] - ETA: 8:08 - loss: 90.7409 - logits_profile_predictions_loss: 89.6430 - logcount_predictions_loss: 0.6862 99/917 [==>...........................] - ETA: 8:08 - loss: 90.7974 - logits_profile_predictions_loss: 89.6996 - logcount_predictions_loss: 0.6861 100/917 [==>...........................] - ETA: 8:07 - loss: 90.8395 - logits_profile_predictions_loss: 89.7392 - logcount_predictions_loss: 0.6876 101/917 [==>...........................] - ETA: 8:06 - loss: 90.8244 - logits_profile_predictions_loss: 89.7219 - logcount_predictions_loss: 0.6891 102/917 [==>...........................] - ETA: 8:06 - loss: 90.8011 - logits_profile_predictions_loss: 89.6998 - logcount_predictions_loss: 0.6884 103/917 [==>...........................] - ETA: 8:05 - loss: 90.7816 - logits_profile_predictions_loss: 89.6799 - logcount_predictions_loss: 0.6885 104/917 [==>...........................] - ETA: 8:05 - loss: 90.8477 - logits_profile_predictions_loss: 89.7472 - logcount_predictions_loss: 0.6878 105/917 [==>...........................] - ETA: 8:04 - loss: 90.9253 - logits_profile_predictions_loss: 89.8226 - logcount_predictions_loss: 0.6892 106/917 [==>...........................] - ETA: 8:03 - loss: 90.7391 - logits_profile_predictions_loss: 89.6396 - logcount_predictions_loss: 0.6872 107/917 [==>...........................] - ETA: 8:03 - loss: 90.7719 - logits_profile_predictions_loss: 89.6717 - logcount_predictions_loss: 0.6876 108/917 [==>...........................] - ETA: 8:02 - loss: 90.7149 - logits_profile_predictions_loss: 89.6147 - logcount_predictions_loss: 0.6876 109/917 [==>...........................] - ETA: 8:02 - loss: 90.5861 - logits_profile_predictions_loss: 89.4874 - logcount_predictions_loss: 0.6866 110/917 [==>...........................] - ETA: 8:01 - loss: 90.7245 - logits_profile_predictions_loss: 89.6282 - logcount_predictions_loss: 0.6852 111/917 [==>...........................] - ETA: 8:00 - loss: 90.7378 - logits_profile_predictions_loss: 89.6428 - logcount_predictions_loss: 0.6843 112/917 [==>...........................] - ETA: 8:00 - loss: 90.9614 - logits_profile_predictions_loss: 89.8650 - logcount_predictions_loss: 0.6853 113/917 [==>...........................] - ETA: 7:59 - loss: 91.0321 - logits_profile_predictions_loss: 89.9314 - logcount_predictions_loss: 0.6879 114/917 [==>...........................] - ETA: 7:59 - loss: 90.8674 - logits_profile_predictions_loss: 89.7618 - logcount_predictions_loss: 0.6910 115/917 [==>...........................] - ETA: 7:58 - loss: 90.9026 - logits_profile_predictions_loss: 89.7960 - logcount_predictions_loss: 0.6917 116/917 [==>...........................] - ETA: 7:57 - loss: 90.9067 - logits_profile_predictions_loss: 89.7969 - logcount_predictions_loss: 0.6936 117/917 [==>...........................] - ETA: 7:57 - loss: 90.7997 - logits_profile_predictions_loss: 89.6904 - logcount_predictions_loss: 0.6933 118/917 [==>...........................] - ETA: 7:56 - loss: 90.8088 - logits_profile_predictions_loss: 89.7007 - logcount_predictions_loss: 0.6926 119/917 [==>...........................] - ETA: 7:56 - loss: 90.6297 - logits_profile_predictions_loss: 89.5230 - logcount_predictions_loss: 0.6917 120/917 [==>...........................] - ETA: 7:55 - loss: 90.4924 - logits_profile_predictions_loss: 89.3849 - logcount_predictions_loss: 0.6922 121/917 [==>...........................] - ETA: 7:54 - loss: 90.3631 - logits_profile_predictions_loss: 89.2555 - logcount_predictions_loss: 0.6923 122/917 [==>...........................] - ETA: 7:54 - loss: 90.3073 - logits_profile_predictions_loss: 89.1999 - logcount_predictions_loss: 0.6921 123/917 [===>..........................] - ETA: 7:53 - loss: 90.4940 - logits_profile_predictions_loss: 89.3867 - logcount_predictions_loss: 0.6921 124/917 [===>..........................] - ETA: 7:53 - loss: 90.5845 - logits_profile_predictions_loss: 89.4780 - logcount_predictions_loss: 0.6915 125/917 [===>..........................] - ETA: 7:52 - loss: 90.5240 - logits_profile_predictions_loss: 89.4182 - logcount_predictions_loss: 0.6911 126/917 [===>..........................] - ETA: 7:51 - loss: 90.5490 - logits_profile_predictions_loss: 89.4437 - logcount_predictions_loss: 0.6908 127/917 [===>..........................] - ETA: 7:51 - loss: 90.6852 - logits_profile_predictions_loss: 89.5781 - logcount_predictions_loss: 0.6919 128/917 [===>..........................] - ETA: 7:50 - loss: 90.6720 - logits_profile_predictions_loss: 89.5652 - logcount_predictions_loss: 0.6917 129/917 [===>..........................] - ETA: 7:50 - loss: 90.5814 - 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logits_profile_predictions_loss: 89.5275 - logcount_predictions_loss: 0.6222 911/917 [============================>.] - ETA: 3s - loss: 90.5054 - logits_profile_predictions_loss: 89.5102 - logcount_predictions_loss: 0.6221 912/917 [============================>.] - ETA: 2s - loss: 90.5129 - logits_profile_predictions_loss: 89.5181 - logcount_predictions_loss: 0.6219 913/917 [============================>.] - ETA: 2s - loss: 90.5192 - logits_profile_predictions_loss: 89.5243 - logcount_predictions_loss: 0.6219 914/917 [============================>.] - ETA: 1s - loss: 90.5179 - logits_profile_predictions_loss: 89.5230 - logcount_predictions_loss: 0.6219 915/917 [============================>.] - ETA: 1s - loss: 90.5101 - logits_profile_predictions_loss: 89.5154 - logcount_predictions_loss: 0.6218 916/917 [============================>.] - ETA: 0s - loss: 90.5107 - logits_profile_predictions_loss: 89.5159 - logcount_predictions_loss: 0.6219 917/917 [==============================] - ETA: 0s - loss: 90.5291 - logits_profile_predictions_loss: 89.5340 - logcount_predictions_loss: 0.6221 Epoch 7: val_loss improved from 108.59195 to 108.40745, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/ameen_2022/K562_bias/ameen_2022.vEC/fold_2/models/chrombpnet.h5  917/917 [==============================] - 568s 619ms/step - loss: 90.5291 - logits_profile_predictions_loss: 89.5340 - logcount_predictions_loss: 0.6221 - val_loss: 108.4074 - val_logits_profile_predictions_loss: 107.4490 - val_logcount_predictions_loss: 0.5990 Epoch 8/50 1/917 [..............................] - ETA: 9:22 - loss: 76.0657 - logits_profile_predictions_loss: 75.1125 - logcount_predictions_loss: 0.5957 2/917 [..............................] - ETA: 9:06 - loss: 88.8906 - logits_profile_predictions_loss: 87.8623 - logcount_predictions_loss: 0.6427 3/917 [..............................] - ETA: 9:05 - loss: 89.0178 - logits_profile_predictions_loss: 88.0834 - 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[..............................] - ETA: 8:52 - loss: 90.2106 - logits_profile_predictions_loss: 89.1908 - logcount_predictions_loss: 0.6374 25/917 [..............................] - ETA: 8:52 - loss: 90.3982 - logits_profile_predictions_loss: 89.3674 - logcount_predictions_loss: 0.6442 26/917 [..............................] - ETA: 8:51 - loss: 91.0024 - logits_profile_predictions_loss: 89.9733 - logcount_predictions_loss: 0.6432 27/917 [..............................] - ETA: 8:50 - loss: 91.2650 - logits_profile_predictions_loss: 90.2122 - logcount_predictions_loss: 0.6580 28/917 [..............................] - ETA: 8:50 - loss: 91.3835 - logits_profile_predictions_loss: 90.3216 - logcount_predictions_loss: 0.6637 29/917 [..............................] - ETA: 8:49 - loss: 91.8728 - logits_profile_predictions_loss: 90.8148 - logcount_predictions_loss: 0.6613 30/917 [..............................] - ETA: 8:49 - loss: 91.5391 - logits_profile_predictions_loss: 90.4804 - 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logcount_predictions_loss: 0.5978 893/917 [============================>.] - ETA: 14s - loss: 89.8123 - logits_profile_predictions_loss: 88.8556 - logcount_predictions_loss: 0.5979 894/917 [============================>.] - ETA: 13s - loss: 89.8065 - logits_profile_predictions_loss: 88.8502 - logcount_predictions_loss: 0.5977 895/917 [============================>.] - ETA: 13s - loss: 89.8177 - logits_profile_predictions_loss: 88.8610 - logcount_predictions_loss: 0.5979 896/917 [============================>.] - ETA: 12s - loss: 89.8104 - logits_profile_predictions_loss: 88.8540 - logcount_predictions_loss: 0.5977 897/917 [============================>.] - ETA: 11s - loss: 89.8092 - logits_profile_predictions_loss: 88.8526 - logcount_predictions_loss: 0.5978 898/917 [============================>.] - ETA: 11s - loss: 89.8341 - logits_profile_predictions_loss: 88.8774 - logcount_predictions_loss: 0.5980 899/917 [============================>.] - ETA: 10s - loss: 89.8344 - logits_profile_predictions_loss: 88.8778 - logcount_predictions_loss: 0.5979 900/917 [============================>.] - ETA: 10s - loss: 89.8470 - logits_profile_predictions_loss: 88.8904 - logcount_predictions_loss: 0.5979 901/917 [============================>.] - ETA: 9s - loss: 89.8395 - logits_profile_predictions_loss: 88.8826 - logcount_predictions_loss: 0.5980  902/917 [============================>.] - ETA: 8s - loss: 89.8536 - logits_profile_predictions_loss: 88.8961 - logcount_predictions_loss: 0.5984 903/917 [============================>.] - ETA: 8s - loss: 89.8611 - logits_profile_predictions_loss: 88.9037 - logcount_predictions_loss: 0.5984 904/917 [============================>.] - ETA: 7s - loss: 89.8698 - logits_profile_predictions_loss: 88.9126 - logcount_predictions_loss: 0.5982 905/917 [============================>.] - ETA: 7s - loss: 89.8856 - logits_profile_predictions_loss: 88.9285 - logcount_predictions_loss: 0.5982 906/917 [============================>.] - ETA: 6s - loss: 89.8983 - logits_profile_predictions_loss: 88.9412 - logcount_predictions_loss: 0.5982 907/917 [============================>.] - ETA: 5s - loss: 89.8908 - logits_profile_predictions_loss: 88.9340 - logcount_predictions_loss: 0.5980 908/917 [============================>.] - ETA: 5s - loss: 89.8917 - logits_profile_predictions_loss: 88.9349 - logcount_predictions_loss: 0.5980 909/917 [============================>.] - ETA: 4s - loss: 89.8873 - logits_profile_predictions_loss: 88.9304 - logcount_predictions_loss: 0.5980 910/917 [============================>.] - ETA: 4s - loss: 89.8859 - logits_profile_predictions_loss: 88.9291 - logcount_predictions_loss: 0.5980 911/917 [============================>.] - ETA: 3s - loss: 89.8808 - logits_profile_predictions_loss: 88.9240 - logcount_predictions_loss: 0.5980 912/917 [============================>.] - ETA: 2s - loss: 89.8937 - logits_profile_predictions_loss: 88.9370 - logcount_predictions_loss: 0.5980 913/917 [============================>.] - ETA: 2s - loss: 89.9072 - logits_profile_predictions_loss: 88.9507 - logcount_predictions_loss: 0.5979 914/917 [============================>.] - ETA: 1s - loss: 89.8944 - logits_profile_predictions_loss: 88.9378 - logcount_predictions_loss: 0.5978 915/917 [============================>.] - ETA: 1s - loss: 89.8743 - logits_profile_predictions_loss: 88.9178 - logcount_predictions_loss: 0.5978 916/917 [============================>.] - ETA: 0s - loss: 89.8919 - logits_profile_predictions_loss: 88.9354 - logcount_predictions_loss: 0.5978 917/917 [==============================] - ETA: 0s - loss: 89.9102 - logits_profile_predictions_loss: 88.9537 - logcount_predictions_loss: 0.5978 Epoch 8: val_loss did not improve from 108.40745  917/917 [==============================] - 569s 621ms/step - loss: 89.9102 - logits_profile_predictions_loss: 88.9537 - logcount_predictions_loss: 0.5978 - val_loss: 108.5428 - val_logits_profile_predictions_loss: 107.6188 - val_logcount_predictions_loss: 0.5775 Epoch 9/50 1/917 [..............................] - ETA: 9:18 - loss: 88.4943 - logits_profile_predictions_loss: 87.7315 - logcount_predictions_loss: 0.4768 2/917 [..............................] - ETA: 9:05 - loss: 94.7329 - logits_profile_predictions_loss: 93.7798 - logcount_predictions_loss: 0.5957 3/917 [..............................] - ETA: 9:04 - loss: 100.1000 - logits_profile_predictions_loss: 99.1002 - logcount_predictions_loss: 0.6249 4/917 [..............................] - ETA: 9:04 - loss: 93.6828 - logits_profile_predictions_loss: 92.7622 - logcount_predictions_loss: 0.5754  5/917 [..............................] - ETA: 9:03 - loss: 92.9775 - logits_profile_predictions_loss: 92.0283 - logcount_predictions_loss: 0.5932 6/917 [..............................] - ETA: 9:02 - loss: 91.7103 - logits_profile_predictions_loss: 90.7397 - logcount_predictions_loss: 0.6066 7/917 [..............................] - ETA: 9:02 - loss: 89.9568 - logits_profile_predictions_loss: 89.0218 - logcount_predictions_loss: 0.5844 8/917 [..............................] - ETA: 9:01 - loss: 89.5807 - logits_profile_predictions_loss: 88.6542 - logcount_predictions_loss: 0.5790 9/917 [..............................] - ETA: 9:01 - loss: 87.8480 - logits_profile_predictions_loss: 86.8758 - logcount_predictions_loss: 0.6076 10/917 [..............................] - ETA: 9:00 - loss: 86.2109 - logits_profile_predictions_loss: 85.2455 - logcount_predictions_loss: 0.6034 11/917 [..............................] - ETA: 9:00 - loss: 85.0394 - logits_profile_predictions_loss: 84.0739 - logcount_predictions_loss: 0.6034 12/917 [..............................] - ETA: 8:59 - loss: 85.4221 - logits_profile_predictions_loss: 84.4392 - logcount_predictions_loss: 0.6143 13/917 [..............................] - ETA: 8:58 - loss: 86.5074 - logits_profile_predictions_loss: 85.5301 - logcount_predictions_loss: 0.6108 14/917 [..............................] - ETA: 8:58 - loss: 87.4267 - logits_profile_predictions_loss: 86.4701 - logcount_predictions_loss: 0.5979 15/917 [..............................] - ETA: 8:57 - loss: 87.9491 - logits_profile_predictions_loss: 87.0068 - logcount_predictions_loss: 0.5889 16/917 [..............................] - ETA: 8:57 - loss: 88.5229 - logits_profile_predictions_loss: 87.5819 - logcount_predictions_loss: 0.5881 17/917 [..............................] - ETA: 8:56 - loss: 88.9674 - logits_profile_predictions_loss: 88.0390 - logcount_predictions_loss: 0.5803 18/917 [..............................] - ETA: 8:55 - loss: 88.1847 - logits_profile_predictions_loss: 87.2714 - logcount_predictions_loss: 0.5708 19/917 [..............................] - ETA: 8:55 - loss: 87.4194 - logits_profile_predictions_loss: 86.5102 - logcount_predictions_loss: 0.5683 20/917 [..............................] - ETA: 8:54 - loss: 88.1878 - logits_profile_predictions_loss: 87.2741 - logcount_predictions_loss: 0.5711 21/917 [..............................] - ETA: 8:54 - loss: 88.2679 - logits_profile_predictions_loss: 87.3544 - logcount_predictions_loss: 0.5710 22/917 [..............................] - ETA: 8:53 - loss: 87.8960 - logits_profile_predictions_loss: 86.9818 - logcount_predictions_loss: 0.5714 23/917 [..............................] - ETA: 8:53 - loss: 87.7071 - logits_profile_predictions_loss: 86.7961 - logcount_predictions_loss: 0.5694 24/917 [..............................] - ETA: 8:52 - loss: 87.2976 - logits_profile_predictions_loss: 86.3807 - logcount_predictions_loss: 0.5731 25/917 [..............................] - ETA: 8:51 - loss: 87.4183 - logits_profile_predictions_loss: 86.5067 - logcount_predictions_loss: 0.5698 26/917 [..............................] - ETA: 8:51 - loss: 86.8309 - logits_profile_predictions_loss: 85.9185 - logcount_predictions_loss: 0.5702 27/917 [..............................] - ETA: 8:50 - loss: 87.3741 - logits_profile_predictions_loss: 86.4582 - logcount_predictions_loss: 0.5725 28/917 [..............................] - ETA: 8:50 - loss: 87.2752 - logits_profile_predictions_loss: 86.3569 - logcount_predictions_loss: 0.5739 29/917 [..............................] - ETA: 8:49 - loss: 86.7170 - logits_profile_predictions_loss: 85.8049 - logcount_predictions_loss: 0.5701 30/917 [..............................] - ETA: 8:48 - loss: 87.0331 - logits_profile_predictions_loss: 86.1179 - logcount_predictions_loss: 0.5720 31/917 [>.............................] - ETA: 8:48 - loss: 86.9640 - logits_profile_predictions_loss: 86.0500 - logcount_predictions_loss: 0.5712 32/917 [>.............................] - ETA: 8:47 - loss: 87.3436 - logits_profile_predictions_loss: 86.4308 - logcount_predictions_loss: 0.5705 33/917 [>.............................] - ETA: 8:47 - loss: 87.0671 - logits_profile_predictions_loss: 86.1583 - logcount_predictions_loss: 0.5680 34/917 [>.............................] - ETA: 8:46 - loss: 87.2689 - logits_profile_predictions_loss: 86.3598 - logcount_predictions_loss: 0.5682 35/917 [>.............................] - ETA: 8:45 - loss: 86.9678 - logits_profile_predictions_loss: 86.0642 - logcount_predictions_loss: 0.5648 36/917 [>.............................] - ETA: 8:45 - loss: 87.1167 - logits_profile_predictions_loss: 86.2102 - logcount_predictions_loss: 0.5665 37/917 [>.............................] - ETA: 8:44 - loss: 87.3955 - logits_profile_predictions_loss: 86.4872 - logcount_predictions_loss: 0.5677 38/917 [>.............................] - ETA: 8:44 - loss: 87.4869 - logits_profile_predictions_loss: 86.5776 - logcount_predictions_loss: 0.5683 39/917 [>.............................] - ETA: 8:43 - loss: 87.4794 - logits_profile_predictions_loss: 86.5768 - logcount_predictions_loss: 0.5642 40/917 [>.............................] - ETA: 8:43 - loss: 87.4857 - logits_profile_predictions_loss: 86.5797 - logcount_predictions_loss: 0.5663 41/917 [>.............................] - ETA: 8:42 - loss: 87.4259 - logits_profile_predictions_loss: 86.5201 - logcount_predictions_loss: 0.5661 42/917 [>.............................] - ETA: 8:41 - loss: 87.4636 - logits_profile_predictions_loss: 86.5543 - logcount_predictions_loss: 0.5683 43/917 [>.............................] - ETA: 8:41 - loss: 87.6319 - logits_profile_predictions_loss: 86.7276 - logcount_predictions_loss: 0.5652 44/917 [>.............................] - ETA: 8:40 - loss: 88.0778 - logits_profile_predictions_loss: 87.1656 - logcount_predictions_loss: 0.5701 45/917 [>.............................] - ETA: 8:40 - loss: 88.0655 - logits_profile_predictions_loss: 87.1582 - logcount_predictions_loss: 0.5671 46/917 [>.............................] - ETA: 8:39 - loss: 88.4295 - logits_profile_predictions_loss: 87.5203 - logcount_predictions_loss: 0.5683 47/917 [>.............................] - ETA: 8:38 - loss: 88.2090 - logits_profile_predictions_loss: 87.2977 - logcount_predictions_loss: 0.5696 48/917 [>.............................] - ETA: 8:38 - loss: 88.3106 - logits_profile_predictions_loss: 87.4053 - logcount_predictions_loss: 0.5658 49/917 [>.............................] - ETA: 8:37 - loss: 88.4368 - logits_profile_predictions_loss: 87.5238 - logcount_predictions_loss: 0.5706 50/917 [>.............................] - ETA: 8:37 - loss: 88.2661 - logits_profile_predictions_loss: 87.3516 - logcount_predictions_loss: 0.5716 51/917 [>.............................] - ETA: 8:36 - loss: 88.2908 - logits_profile_predictions_loss: 87.3754 - logcount_predictions_loss: 0.5722 52/917 [>.............................] - ETA: 8:35 - loss: 88.2630 - logits_profile_predictions_loss: 87.3516 - logcount_predictions_loss: 0.5696 53/917 [>.............................] - ETA: 8:35 - loss: 88.0289 - logits_profile_predictions_loss: 87.1193 - logcount_predictions_loss: 0.5685 54/917 [>.............................] - ETA: 8:34 - loss: 87.9717 - logits_profile_predictions_loss: 87.0585 - logcount_predictions_loss: 0.5707 55/917 [>.............................] - ETA: 8:34 - loss: 87.9681 - logits_profile_predictions_loss: 87.0559 - logcount_predictions_loss: 0.5701 56/917 [>.............................] - ETA: 8:33 - loss: 88.3056 - logits_profile_predictions_loss: 87.3942 - logcount_predictions_loss: 0.5696 57/917 [>.............................] - ETA: 8:32 - loss: 88.2912 - logits_profile_predictions_loss: 87.3768 - logcount_predictions_loss: 0.5715 58/917 [>.............................] - ETA: 8:32 - loss: 88.3398 - logits_profile_predictions_loss: 87.4257 - logcount_predictions_loss: 0.5713 59/917 [>.............................] - ETA: 8:31 - loss: 88.3748 - logits_profile_predictions_loss: 87.4636 - logcount_predictions_loss: 0.5695 60/917 [>.............................] - ETA: 8:31 - loss: 88.5481 - logits_profile_predictions_loss: 87.6398 - logcount_predictions_loss: 0.5676 61/917 [>.............................] - ETA: 8:30 - loss: 88.7682 - logits_profile_predictions_loss: 87.8569 - logcount_predictions_loss: 0.5696 62/917 [=>............................] - ETA: 8:29 - loss: 88.8040 - logits_profile_predictions_loss: 87.8932 - logcount_predictions_loss: 0.5692 63/917 [=>............................] - ETA: 8:29 - loss: 88.8003 - logits_profile_predictions_loss: 87.8877 - logcount_predictions_loss: 0.5703 64/917 [=>............................] - ETA: 8:28 - loss: 88.7502 - logits_profile_predictions_loss: 87.8407 - logcount_predictions_loss: 0.5684 65/917 [=>............................] - ETA: 8:28 - loss: 88.7766 - logits_profile_predictions_loss: 87.8695 - logcount_predictions_loss: 0.5669 66/917 [=>............................] - ETA: 8:27 - loss: 88.8745 - logits_profile_predictions_loss: 87.9711 - logcount_predictions_loss: 0.5646 67/917 [=>............................] - ETA: 8:26 - loss: 88.8841 - logits_profile_predictions_loss: 87.9790 - logcount_predictions_loss: 0.5657 68/917 [=>............................] - ETA: 8:26 - loss: 89.0662 - logits_profile_predictions_loss: 88.1617 - logcount_predictions_loss: 0.5653 69/917 [=>............................] - ETA: 8:25 - loss: 89.1585 - logits_profile_predictions_loss: 88.2513 - logcount_predictions_loss: 0.5670 70/917 [=>............................] - ETA: 8:25 - loss: 89.0170 - logits_profile_predictions_loss: 88.1081 - logcount_predictions_loss: 0.5680 71/917 [=>............................] - ETA: 8:24 - loss: 88.9767 - logits_profile_predictions_loss: 88.0620 - logcount_predictions_loss: 0.5717 72/917 [=>............................] - ETA: 8:23 - loss: 89.0086 - logits_profile_predictions_loss: 88.0926 - logcount_predictions_loss: 0.5725 73/917 [=>............................] - ETA: 8:23 - loss: 89.0817 - logits_profile_predictions_loss: 88.1627 - logcount_predictions_loss: 0.5744 74/917 [=>............................] - ETA: 8:22 - loss: 88.9960 - logits_profile_predictions_loss: 88.0789 - logcount_predictions_loss: 0.5732 75/917 [=>............................] - ETA: 8:22 - loss: 89.0848 - logits_profile_predictions_loss: 88.1701 - logcount_predictions_loss: 0.5716 76/917 [=>............................] - ETA: 8:21 - loss: 88.9801 - logits_profile_predictions_loss: 88.0623 - logcount_predictions_loss: 0.5737 77/917 [=>............................] - ETA: 8:20 - loss: 89.1279 - logits_profile_predictions_loss: 88.2137 - logcount_predictions_loss: 0.5713 78/917 [=>............................] - ETA: 8:20 - loss: 89.2884 - logits_profile_predictions_loss: 88.3742 - logcount_predictions_loss: 0.5713 79/917 [=>............................] - ETA: 8:19 - loss: 89.4060 - logits_profile_predictions_loss: 88.4874 - logcount_predictions_loss: 0.5741 80/917 [=>............................] - ETA: 8:19 - loss: 89.4794 - logits_profile_predictions_loss: 88.5618 - logcount_predictions_loss: 0.5735 81/917 [=>............................] - ETA: 8:18 - loss: 89.5130 - logits_profile_predictions_loss: 88.5963 - logcount_predictions_loss: 0.5729 82/917 [=>............................] - ETA: 8:17 - loss: 89.5634 - logits_profile_predictions_loss: 88.6437 - logcount_predictions_loss: 0.5748 83/917 [=>............................] - ETA: 8:17 - loss: 89.6926 - logits_profile_predictions_loss: 88.7748 - logcount_predictions_loss: 0.5736 84/917 [=>............................] - ETA: 8:16 - loss: 89.8122 - logits_profile_predictions_loss: 88.8953 - logcount_predictions_loss: 0.5731 85/917 [=>............................] - ETA: 8:16 - loss: 89.8366 - logits_profile_predictions_loss: 88.9199 - logcount_predictions_loss: 0.5729 86/917 [=>............................] - ETA: 8:15 - loss: 89.7970 - logits_profile_predictions_loss: 88.8793 - logcount_predictions_loss: 0.5735 87/917 [=>............................] - ETA: 8:14 - loss: 89.7090 - logits_profile_predictions_loss: 88.7931 - logcount_predictions_loss: 0.5724 88/917 [=>............................] - ETA: 8:14 - loss: 89.6718 - logits_profile_predictions_loss: 88.7563 - logcount_predictions_loss: 0.5722 89/917 [=>............................] - ETA: 8:13 - loss: 89.6142 - logits_profile_predictions_loss: 88.6975 - logcount_predictions_loss: 0.5729 90/917 [=>............................] - ETA: 8:13 - loss: 89.6295 - logits_profile_predictions_loss: 88.7127 - logcount_predictions_loss: 0.5730 91/917 [=>............................] - ETA: 8:12 - loss: 89.5868 - logits_profile_predictions_loss: 88.6704 - logcount_predictions_loss: 0.5727 92/917 [==>...........................] - ETA: 8:12 - loss: 89.5100 - logits_profile_predictions_loss: 88.5952 - logcount_predictions_loss: 0.5718 93/917 [==>...........................] - ETA: 8:11 - loss: 89.4970 - logits_profile_predictions_loss: 88.5811 - logcount_predictions_loss: 0.5725 94/917 [==>...........................] - ETA: 8:10 - loss: 89.5247 - logits_profile_predictions_loss: 88.6100 - logcount_predictions_loss: 0.5717 95/917 [==>...........................] - ETA: 8:10 - loss: 89.6697 - logits_profile_predictions_loss: 88.7525 - logcount_predictions_loss: 0.5733 96/917 [==>...........................] - ETA: 8:09 - loss: 89.5729 - logits_profile_predictions_loss: 88.6577 - logcount_predictions_loss: 0.5720 97/917 [==>...........................] - ETA: 8:09 - loss: 89.4476 - logits_profile_predictions_loss: 88.5312 - logcount_predictions_loss: 0.5728 98/917 [==>...........................] - ETA: 8:08 - loss: 89.3367 - logits_profile_predictions_loss: 88.4226 - logcount_predictions_loss: 0.5713 99/917 [==>...........................] - ETA: 8:07 - loss: 89.4744 - logits_profile_predictions_loss: 88.5603 - logcount_predictions_loss: 0.5713 100/917 [==>...........................] - ETA: 8:07 - loss: 89.3822 - logits_profile_predictions_loss: 88.4695 - logcount_predictions_loss: 0.5705 101/917 [==>...........................] - ETA: 8:06 - loss: 89.4216 - logits_profile_predictions_loss: 88.5103 - logcount_predictions_loss: 0.5696 102/917 [==>...........................] - ETA: 8:06 - loss: 89.5356 - logits_profile_predictions_loss: 88.6250 - logcount_predictions_loss: 0.5692 103/917 [==>...........................] - ETA: 8:05 - loss: 89.4208 - logits_profile_predictions_loss: 88.5124 - logcount_predictions_loss: 0.5677 104/917 [==>...........................] - ETA: 8:04 - loss: 89.4620 - logits_profile_predictions_loss: 88.5536 - logcount_predictions_loss: 0.5677 105/917 [==>...........................] - ETA: 8:04 - loss: 89.3252 - logits_profile_predictions_loss: 88.4181 - logcount_predictions_loss: 0.5669 106/917 [==>...........................] - ETA: 8:03 - loss: 89.1346 - logits_profile_predictions_loss: 88.2273 - logcount_predictions_loss: 0.5671 107/917 [==>...........................] - ETA: 8:03 - loss: 89.2374 - logits_profile_predictions_loss: 88.3316 - logcount_predictions_loss: 0.5661 108/917 [==>...........................] - ETA: 8:02 - loss: 89.1732 - logits_profile_predictions_loss: 88.2670 - logcount_predictions_loss: 0.5664 109/917 [==>...........................] - ETA: 8:01 - loss: 89.0944 - logits_profile_predictions_loss: 88.1882 - logcount_predictions_loss: 0.5664 110/917 [==>...........................] - ETA: 8:01 - loss: 89.1392 - logits_profile_predictions_loss: 88.2339 - logcount_predictions_loss: 0.5658 111/917 [==>...........................] - ETA: 8:00 - loss: 89.1207 - logits_profile_predictions_loss: 88.2136 - logcount_predictions_loss: 0.5670 112/917 [==>...........................] - ETA: 8:00 - loss: 89.1475 - logits_profile_predictions_loss: 88.2410 - logcount_predictions_loss: 0.5666 113/917 [==>...........................] - ETA: 7:59 - loss: 89.1359 - logits_profile_predictions_loss: 88.2268 - logcount_predictions_loss: 0.5682 114/917 [==>...........................] - ETA: 7:58 - loss: 89.0077 - logits_profile_predictions_loss: 88.0997 - logcount_predictions_loss: 0.5675 115/917 [==>...........................] - ETA: 7:58 - loss: 89.1334 - 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[=========================>....] - ETA: 56s - loss: 89.2618 - logits_profile_predictions_loss: 88.3339 - logcount_predictions_loss: 0.5799 823/917 [=========================>....] - ETA: 56s - loss: 89.2479 - logits_profile_predictions_loss: 88.3202 - logcount_predictions_loss: 0.5798 824/917 [=========================>....] - ETA: 55s - loss: 89.2214 - logits_profile_predictions_loss: 88.2939 - logcount_predictions_loss: 0.5797 825/917 [=========================>....] - ETA: 54s - loss: 89.2277 - logits_profile_predictions_loss: 88.3001 - logcount_predictions_loss: 0.5797 826/917 [==========================>...] - ETA: 54s - loss: 89.2399 - logits_profile_predictions_loss: 88.3124 - logcount_predictions_loss: 0.5796 827/917 [==========================>...] - ETA: 53s - loss: 89.2413 - logits_profile_predictions_loss: 88.3140 - logcount_predictions_loss: 0.5795 828/917 [==========================>...] - ETA: 53s - loss: 89.2586 - logits_profile_predictions_loss: 88.3315 - 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logits_profile_predictions_loss: 88.2793 - logcount_predictions_loss: 0.5789 836/917 [==========================>...] - ETA: 48s - loss: 89.1850 - logits_profile_predictions_loss: 88.2583 - logcount_predictions_loss: 0.5792 837/917 [==========================>...] - ETA: 47s - loss: 89.1932 - logits_profile_predictions_loss: 88.2665 - logcount_predictions_loss: 0.5791 838/917 [==========================>...] - ETA: 47s - loss: 89.1932 - logits_profile_predictions_loss: 88.2664 - logcount_predictions_loss: 0.5792 839/917 [==========================>...] - ETA: 46s - loss: 89.1895 - logits_profile_predictions_loss: 88.2628 - logcount_predictions_loss: 0.5791 840/917 [==========================>...] - ETA: 45s - loss: 89.2012 - logits_profile_predictions_loss: 88.2746 - logcount_predictions_loss: 0.5791 841/917 [==========================>...] - ETA: 45s - loss: 89.2052 - logits_profile_predictions_loss: 88.2789 - logcount_predictions_loss: 0.5789 842/917 [==========================>...] - ETA: 44s - loss: 89.2380 - logits_profile_predictions_loss: 88.3117 - logcount_predictions_loss: 0.5789 843/917 [==========================>...] - ETA: 44s - loss: 89.2374 - logits_profile_predictions_loss: 88.3110 - logcount_predictions_loss: 0.5790 844/917 [==========================>...] - ETA: 43s - loss: 89.2441 - logits_profile_predictions_loss: 88.3174 - logcount_predictions_loss: 0.5792 845/917 [==========================>...] - ETA: 42s - loss: 89.2271 - logits_profile_predictions_loss: 88.3002 - logcount_predictions_loss: 0.5793 846/917 [==========================>...] - ETA: 42s - loss: 89.2273 - logits_profile_predictions_loss: 88.3004 - logcount_predictions_loss: 0.5793 847/917 [==========================>...] - ETA: 41s - loss: 89.2343 - logits_profile_predictions_loss: 88.3074 - logcount_predictions_loss: 0.5793 848/917 [==========================>...] - ETA: 41s - loss: 89.2281 - logits_profile_predictions_loss: 88.3017 - logcount_predictions_loss: 0.5790 849/917 [==========================>...] - ETA: 40s - loss: 89.2192 - logits_profile_predictions_loss: 88.2932 - logcount_predictions_loss: 0.5787 850/917 [==========================>...] - ETA: 39s - loss: 89.2221 - logits_profile_predictions_loss: 88.2962 - logcount_predictions_loss: 0.5787 851/917 [==========================>...] - ETA: 39s - loss: 89.2266 - logits_profile_predictions_loss: 88.3009 - logcount_predictions_loss: 0.5786 852/917 [==========================>...] - ETA: 38s - loss: 89.2236 - logits_profile_predictions_loss: 88.2980 - logcount_predictions_loss: 0.5784 853/917 [==========================>...] - ETA: 38s - loss: 89.2082 - logits_profile_predictions_loss: 88.2828 - logcount_predictions_loss: 0.5784 854/917 [==========================>...] - ETA: 37s - loss: 89.2148 - logits_profile_predictions_loss: 88.2896 - logcount_predictions_loss: 0.5782 855/917 [==========================>...] - ETA: 36s - loss: 89.2123 - logits_profile_predictions_loss: 88.2869 - 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logits_profile_predictions_loss: 88.3116 - logcount_predictions_loss: 0.5780 863/917 [===========================>..] - ETA: 32s - loss: 89.2521 - logits_profile_predictions_loss: 88.3274 - logcount_predictions_loss: 0.5779 864/917 [===========================>..] - ETA: 31s - loss: 89.2598 - logits_profile_predictions_loss: 88.3356 - logcount_predictions_loss: 0.5776 865/917 [===========================>..] - ETA: 31s - loss: 89.2395 - logits_profile_predictions_loss: 88.3153 - logcount_predictions_loss: 0.5776 866/917 [===========================>..] - ETA: 30s - loss: 89.2361 - logits_profile_predictions_loss: 88.3122 - logcount_predictions_loss: 0.5774 867/917 [===========================>..] - ETA: 29s - loss: 89.2413 - logits_profile_predictions_loss: 88.3177 - logcount_predictions_loss: 0.5772 868/917 [===========================>..] - ETA: 29s - loss: 89.2406 - logits_profile_predictions_loss: 88.3172 - logcount_predictions_loss: 0.5771 869/917 [===========================>..] - ETA: 28s - loss: 89.2469 - logits_profile_predictions_loss: 88.3234 - logcount_predictions_loss: 0.5771 870/917 [===========================>..] - ETA: 28s - loss: 89.2388 - logits_profile_predictions_loss: 88.3153 - logcount_predictions_loss: 0.5772 871/917 [===========================>..] - ETA: 27s - loss: 89.2299 - logits_profile_predictions_loss: 88.3063 - logcount_predictions_loss: 0.5772 872/917 [===========================>..] - ETA: 26s - loss: 89.2420 - logits_profile_predictions_loss: 88.3183 - logcount_predictions_loss: 0.5773 873/917 [===========================>..] - ETA: 26s - loss: 89.2147 - logits_profile_predictions_loss: 88.2912 - logcount_predictions_loss: 0.5771 874/917 [===========================>..] - ETA: 25s - loss: 89.2110 - logits_profile_predictions_loss: 88.2874 - logcount_predictions_loss: 0.5773 875/917 [===========================>..] - ETA: 25s - loss: 89.2198 - logits_profile_predictions_loss: 88.2962 - logcount_predictions_loss: 0.5772 876/917 [===========================>..] - ETA: 24s - loss: 89.2303 - logits_profile_predictions_loss: 88.3063 - logcount_predictions_loss: 0.5774 877/917 [===========================>..] - ETA: 23s - loss: 89.2251 - logits_profile_predictions_loss: 88.3007 - logcount_predictions_loss: 0.5777 878/917 [===========================>..] - ETA: 23s - loss: 89.2187 - logits_profile_predictions_loss: 88.2942 - logcount_predictions_loss: 0.5778 879/917 [===========================>..] - ETA: 22s - loss: 89.2134 - logits_profile_predictions_loss: 88.2892 - logcount_predictions_loss: 0.5776 880/917 [===========================>..] - ETA: 22s - loss: 89.2181 - logits_profile_predictions_loss: 88.2940 - logcount_predictions_loss: 0.5776 881/917 [===========================>..] - ETA: 21s - loss: 89.2159 - logits_profile_predictions_loss: 88.2916 - logcount_predictions_loss: 0.5776 882/917 [===========================>..] - ETA: 20s - loss: 89.2398 - logits_profile_predictions_loss: 88.3155 - logcount_predictions_loss: 0.5777 883/917 [===========================>..] - ETA: 20s - loss: 89.2352 - logits_profile_predictions_loss: 88.3105 - logcount_predictions_loss: 0.5779 884/917 [===========================>..] - ETA: 19s - loss: 89.2374 - logits_profile_predictions_loss: 88.3128 - logcount_predictions_loss: 0.5778 885/917 [===========================>..] - ETA: 19s - loss: 89.2277 - logits_profile_predictions_loss: 88.3029 - logcount_predictions_loss: 0.5779 886/917 [===========================>..] - ETA: 18s - loss: 89.2459 - logits_profile_predictions_loss: 88.3213 - logcount_predictions_loss: 0.5779 887/917 [============================>.] - ETA: 17s - loss: 89.2515 - logits_profile_predictions_loss: 88.3267 - logcount_predictions_loss: 0.5780 888/917 [============================>.] - ETA: 17s - loss: 89.2635 - logits_profile_predictions_loss: 88.3384 - logcount_predictions_loss: 0.5781 889/917 [============================>.] - ETA: 16s - loss: 89.2499 - logits_profile_predictions_loss: 88.3251 - logcount_predictions_loss: 0.5780 890/917 [============================>.] - ETA: 16s - loss: 89.2451 - logits_profile_predictions_loss: 88.3202 - logcount_predictions_loss: 0.5780 891/917 [============================>.] - ETA: 15s - loss: 89.2459 - logits_profile_predictions_loss: 88.3210 - logcount_predictions_loss: 0.5780 892/917 [============================>.] - ETA: 14s - loss: 89.2574 - logits_profile_predictions_loss: 88.3325 - logcount_predictions_loss: 0.5780 893/917 [============================>.] - ETA: 14s - loss: 89.2613 - logits_profile_predictions_loss: 88.3359 - logcount_predictions_loss: 0.5783 894/917 [============================>.] - ETA: 13s - loss: 89.2614 - logits_profile_predictions_loss: 88.3359 - logcount_predictions_loss: 0.5784 895/917 [============================>.] - ETA: 13s - loss: 89.2470 - logits_profile_predictions_loss: 88.3217 - logcount_predictions_loss: 0.5783 896/917 [============================>.] - ETA: 12s - loss: 89.2511 - logits_profile_predictions_loss: 88.3259 - logcount_predictions_loss: 0.5782 897/917 [============================>.] - ETA: 11s - loss: 89.2581 - logits_profile_predictions_loss: 88.3327 - logcount_predictions_loss: 0.5784 898/917 [============================>.] - ETA: 11s - loss: 89.2632 - logits_profile_predictions_loss: 88.3378 - logcount_predictions_loss: 0.5783 899/917 [============================>.] - ETA: 10s - loss: 89.2477 - logits_profile_predictions_loss: 88.3221 - logcount_predictions_loss: 0.5785 900/917 [============================>.] - ETA: 10s - loss: 89.2346 - logits_profile_predictions_loss: 88.3091 - logcount_predictions_loss: 0.5784 901/917 [============================>.] - ETA: 9s - loss: 89.2286 - logits_profile_predictions_loss: 88.3030 - logcount_predictions_loss: 0.5785  902/917 [============================>.] - ETA: 8s - loss: 89.2174 - logits_profile_predictions_loss: 88.2919 - logcount_predictions_loss: 0.5784 903/917 [============================>.] - ETA: 8s - loss: 89.2283 - logits_profile_predictions_loss: 88.3027 - logcount_predictions_loss: 0.5785 904/917 [============================>.] - ETA: 7s - loss: 89.2099 - logits_profile_predictions_loss: 88.2846 - logcount_predictions_loss: 0.5783 905/917 [============================>.] - ETA: 7s - loss: 89.1928 - logits_profile_predictions_loss: 88.2675 - logcount_predictions_loss: 0.5783 906/917 [============================>.] - ETA: 6s - loss: 89.1957 - logits_profile_predictions_loss: 88.2705 - logcount_predictions_loss: 0.5782 907/917 [============================>.] - ETA: 5s - loss: 89.2087 - logits_profile_predictions_loss: 88.2836 - logcount_predictions_loss: 0.5781 908/917 [============================>.] - ETA: 5s - loss: 89.1954 - logits_profile_predictions_loss: 88.2703 - logcount_predictions_loss: 0.5781 909/917 [============================>.] - ETA: 4s - loss: 89.2105 - logits_profile_predictions_loss: 88.2855 - logcount_predictions_loss: 0.5781 910/917 [============================>.] - ETA: 4s - loss: 89.1960 - logits_profile_predictions_loss: 88.2711 - logcount_predictions_loss: 0.5780 911/917 [============================>.] - ETA: 3s - loss: 89.1864 - logits_profile_predictions_loss: 88.2617 - logcount_predictions_loss: 0.5779 912/917 [============================>.] - ETA: 2s - loss: 89.1674 - logits_profile_predictions_loss: 88.2426 - logcount_predictions_loss: 0.5780 913/917 [============================>.] - ETA: 2s - loss: 89.1762 - logits_profile_predictions_loss: 88.2517 - logcount_predictions_loss: 0.5778 914/917 [============================>.] - ETA: 1s - loss: 89.1693 - logits_profile_predictions_loss: 88.2447 - logcount_predictions_loss: 0.5778 915/917 [============================>.] - ETA: 1s - loss: 89.1649 - logits_profile_predictions_loss: 88.2403 - logcount_predictions_loss: 0.5778 916/917 [============================>.] - ETA: 0s - loss: 89.1768 - logits_profile_predictions_loss: 88.2525 - logcount_predictions_loss: 0.5777 917/917 [==============================] - ETA: 0s - loss: 89.1757 - logits_profile_predictions_loss: 88.2517 - logcount_predictions_loss: 0.5775 Epoch 9: val_loss did not improve from 108.40745  917/917 [==============================] - 567s 619ms/step - loss: 89.1757 - logits_profile_predictions_loss: 88.2517 - logcount_predictions_loss: 0.5775 - val_loss: 108.8612 - val_logits_profile_predictions_loss: 107.9225 - val_logcount_predictions_loss: 0.5867 Epoch 10/50 1/917 [..............................] - ETA: 9:23 - loss: 106.0487 - logits_profile_predictions_loss: 104.9613 - logcount_predictions_loss: 0.6796 2/917 [..............................] - ETA: 9:05 - loss: 91.6062 - logits_profile_predictions_loss: 90.8075 - logcount_predictions_loss: 0.4992  3/917 [..............................] - ETA: 9:04 - loss: 89.4005 - logits_profile_predictions_loss: 88.5229 - logcount_predictions_loss: 0.5484 4/917 [..............................] - ETA: 9:04 - loss: 88.9759 - logits_profile_predictions_loss: 88.1633 - logcount_predictions_loss: 0.5079 5/917 [..............................] - ETA: 9:03 - loss: 86.9857 - logits_profile_predictions_loss: 86.1762 - logcount_predictions_loss: 0.5060 6/917 [..............................] - ETA: 9:03 - loss: 87.1421 - logits_profile_predictions_loss: 86.2887 - logcount_predictions_loss: 0.5333 7/917 [..............................] - ETA: 9:02 - loss: 86.7014 - logits_profile_predictions_loss: 85.8514 - logcount_predictions_loss: 0.5312 8/917 [..............................] - ETA: 9:01 - loss: 86.3596 - logits_profile_predictions_loss: 85.4827 - logcount_predictions_loss: 0.5480 9/917 [..............................] - ETA: 9:01 - loss: 86.5642 - logits_profile_predictions_loss: 85.7102 - logcount_predictions_loss: 0.5337 10/917 [..............................] - ETA: 9:00 - loss: 86.2564 - logits_profile_predictions_loss: 85.4126 - logcount_predictions_loss: 0.5274 11/917 [..............................] - ETA: 9:00 - loss: 87.0674 - logits_profile_predictions_loss: 86.2195 - logcount_predictions_loss: 0.5299 12/917 [..............................] - ETA: 8:59 - loss: 88.8344 - logits_profile_predictions_loss: 87.9622 - logcount_predictions_loss: 0.5451 13/917 [..............................] - ETA: 8:59 - loss: 87.1552 - logits_profile_predictions_loss: 86.2885 - logcount_predictions_loss: 0.5417 14/917 [..............................] - ETA: 8:58 - loss: 89.2865 - logits_profile_predictions_loss: 88.4254 - logcount_predictions_loss: 0.5382 15/917 [..............................] - ETA: 8:57 - loss: 89.0581 - logits_profile_predictions_loss: 88.1642 - logcount_predictions_loss: 0.5586 16/917 [..............................] - ETA: 8:57 - loss: 88.4397 - logits_profile_predictions_loss: 87.5477 - logcount_predictions_loss: 0.5575 17/917 [..............................] - ETA: 8:56 - loss: 87.9825 - logits_profile_predictions_loss: 87.0823 - logcount_predictions_loss: 0.5626 18/917 [..............................] - ETA: 8:56 - loss: 88.4882 - logits_profile_predictions_loss: 87.5931 - logcount_predictions_loss: 0.5594 19/917 [..............................] - ETA: 8:55 - loss: 88.0728 - logits_profile_predictions_loss: 87.1781 - logcount_predictions_loss: 0.5592 20/917 [..............................] - ETA: 8:54 - loss: 88.2255 - logits_profile_predictions_loss: 87.3233 - logcount_predictions_loss: 0.5638 21/917 [..............................] - ETA: 8:54 - loss: 88.3477 - logits_profile_predictions_loss: 87.4443 - logcount_predictions_loss: 0.5646 22/917 [..............................] - ETA: 8:53 - loss: 87.8975 - logits_profile_predictions_loss: 87.0031 - logcount_predictions_loss: 0.5590 23/917 [..............................] - ETA: 8:53 - loss: 87.6239 - logits_profile_predictions_loss: 86.7280 - logcount_predictions_loss: 0.5599 24/917 [..............................] - ETA: 8:52 - loss: 87.2188 - logits_profile_predictions_loss: 86.3290 - logcount_predictions_loss: 0.5561 25/917 [..............................] - ETA: 8:51 - loss: 86.8671 - logits_profile_predictions_loss: 85.9822 - logcount_predictions_loss: 0.5531 26/917 [..............................] - ETA: 8:51 - loss: 87.3440 - logits_profile_predictions_loss: 86.4616 - logcount_predictions_loss: 0.5515 27/917 [..............................] - ETA: 8:50 - loss: 87.5487 - logits_profile_predictions_loss: 86.6702 - logcount_predictions_loss: 0.5491 28/917 [..............................] - ETA: 8:50 - loss: 86.9200 - logits_profile_predictions_loss: 86.0518 - logcount_predictions_loss: 0.5426 29/917 [..............................] - ETA: 8:49 - loss: 86.9898 - logits_profile_predictions_loss: 86.1219 - logcount_predictions_loss: 0.5425 30/917 [..............................] - ETA: 8:48 - loss: 87.2900 - logits_profile_predictions_loss: 86.4171 - logcount_predictions_loss: 0.5455 31/917 [>.............................] - ETA: 8:48 - loss: 86.5663 - logits_profile_predictions_loss: 85.6972 - logcount_predictions_loss: 0.5431 32/917 [>.............................] - ETA: 8:47 - loss: 86.4584 - logits_profile_predictions_loss: 85.5873 - logcount_predictions_loss: 0.5444 33/917 [>.............................] - ETA: 8:47 - loss: 86.8985 - logits_profile_predictions_loss: 86.0338 - logcount_predictions_loss: 0.5405 34/917 [>.............................] - ETA: 8:46 - loss: 86.6882 - logits_profile_predictions_loss: 85.8257 - logcount_predictions_loss: 0.5391 35/917 [>.............................] - ETA: 8:45 - loss: 87.0533 - logits_profile_predictions_loss: 86.1848 - logcount_predictions_loss: 0.5428 36/917 [>.............................] - ETA: 8:45 - loss: 86.7756 - logits_profile_predictions_loss: 85.9143 - logcount_predictions_loss: 0.5383 37/917 [>.............................] - ETA: 8:44 - loss: 86.9245 - logits_profile_predictions_loss: 86.0626 - 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[=>............................] - ETA: 8:16 - loss: 88.6495 - logits_profile_predictions_loss: 87.7652 - logcount_predictions_loss: 0.5527 86/917 [=>............................] - ETA: 8:15 - loss: 88.5007 - logits_profile_predictions_loss: 87.6175 - logcount_predictions_loss: 0.5520 87/917 [=>............................] - ETA: 8:14 - loss: 88.4535 - logits_profile_predictions_loss: 87.5707 - logcount_predictions_loss: 0.5518 88/917 [=>............................] - ETA: 8:14 - loss: 88.6203 - logits_profile_predictions_loss: 87.7313 - logcount_predictions_loss: 0.5556 89/917 [=>............................] - ETA: 8:13 - loss: 88.6160 - logits_profile_predictions_loss: 87.7265 - logcount_predictions_loss: 0.5559 90/917 [=>............................] - ETA: 8:13 - loss: 88.7123 - logits_profile_predictions_loss: 87.8234 - logcount_predictions_loss: 0.5556 91/917 [=>............................] - ETA: 8:12 - loss: 88.6011 - logits_profile_predictions_loss: 87.7123 - logcount_predictions_loss: 0.5555 92/917 [==>...........................] - ETA: 8:11 - loss: 88.3374 - logits_profile_predictions_loss: 87.4499 - logcount_predictions_loss: 0.5547 93/917 [==>...........................] - ETA: 8:11 - loss: 88.4188 - logits_profile_predictions_loss: 87.5325 - logcount_predictions_loss: 0.5540 94/917 [==>...........................] - ETA: 8:10 - loss: 88.4260 - logits_profile_predictions_loss: 87.5408 - logcount_predictions_loss: 0.5532 95/917 [==>...........................] - ETA: 8:10 - loss: 88.5435 - logits_profile_predictions_loss: 87.6567 - logcount_predictions_loss: 0.5542 96/917 [==>...........................] - ETA: 8:09 - loss: 88.4841 - logits_profile_predictions_loss: 87.5968 - logcount_predictions_loss: 0.5546 97/917 [==>...........................] - ETA: 8:08 - loss: 88.3306 - logits_profile_predictions_loss: 87.4461 - logcount_predictions_loss: 0.5528 98/917 [==>...........................] - ETA: 8:08 - loss: 88.3965 - 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[==>...........................] - ETA: 8:04 - loss: 88.7295 - logits_profile_predictions_loss: 87.8175 - logcount_predictions_loss: 0.5700 106/917 [==>...........................] - ETA: 8:03 - loss: 88.6404 - logits_profile_predictions_loss: 87.7258 - logcount_predictions_loss: 0.5717 107/917 [==>...........................] - ETA: 8:02 - loss: 88.6535 - logits_profile_predictions_loss: 87.7370 - logcount_predictions_loss: 0.5728 108/917 [==>...........................] - ETA: 8:02 - loss: 88.6877 - logits_profile_predictions_loss: 87.7704 - logcount_predictions_loss: 0.5733 109/917 [==>...........................] - ETA: 8:01 - loss: 88.6844 - logits_profile_predictions_loss: 87.7669 - logcount_predictions_loss: 0.5735 110/917 [==>...........................] - ETA: 8:01 - loss: 88.7323 - logits_profile_predictions_loss: 87.8154 - logcount_predictions_loss: 0.5731 111/917 [==>...........................] - ETA: 8:00 - loss: 88.8750 - logits_profile_predictions_loss: 87.9566 - 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- ETA: 22s - loss: 88.6909 - logits_profile_predictions_loss: 87.7995 - logcount_predictions_loss: 0.5572 880/917 [===========================>..] - ETA: 22s - loss: 88.6773 - logits_profile_predictions_loss: 87.7860 - logcount_predictions_loss: 0.5572 881/917 [===========================>..] - ETA: 21s - loss: 88.6853 - logits_profile_predictions_loss: 87.7941 - logcount_predictions_loss: 0.5571 882/917 [===========================>..] - ETA: 20s - loss: 88.6788 - logits_profile_predictions_loss: 87.7873 - logcount_predictions_loss: 0.5572 883/917 [===========================>..] - ETA: 20s - loss: 88.6950 - logits_profile_predictions_loss: 87.8034 - logcount_predictions_loss: 0.5574 884/917 [===========================>..] - ETA: 19s - loss: 88.6842 - logits_profile_predictions_loss: 87.7925 - logcount_predictions_loss: 0.5574 885/917 [===========================>..] - ETA: 19s - loss: 88.6816 - logits_profile_predictions_loss: 87.7900 - logcount_predictions_loss: 0.5573 886/917 [===========================>..] - ETA: 18s - loss: 88.6955 - logits_profile_predictions_loss: 87.8041 - logcount_predictions_loss: 0.5572 887/917 [============================>.] - ETA: 17s - loss: 88.7051 - logits_profile_predictions_loss: 87.8136 - logcount_predictions_loss: 0.5572 888/917 [============================>.] - ETA: 17s - loss: 88.7025 - logits_profile_predictions_loss: 87.8111 - logcount_predictions_loss: 0.5572 889/917 [============================>.] - ETA: 16s - loss: 88.7073 - logits_profile_predictions_loss: 87.8160 - logcount_predictions_loss: 0.5571 890/917 [============================>.] - ETA: 16s - loss: 88.7009 - logits_profile_predictions_loss: 87.8098 - logcount_predictions_loss: 0.5570 891/917 [============================>.] - ETA: 15s - loss: 88.6964 - logits_profile_predictions_loss: 87.8055 - logcount_predictions_loss: 0.5569 892/917 [============================>.] - ETA: 14s - loss: 88.7035 - logits_profile_predictions_loss: 87.8126 - logcount_predictions_loss: 0.5568 893/917 [============================>.] - ETA: 14s - loss: 88.7077 - logits_profile_predictions_loss: 87.8173 - logcount_predictions_loss: 0.5566 894/917 [============================>.] - ETA: 13s - loss: 88.7205 - logits_profile_predictions_loss: 87.8300 - logcount_predictions_loss: 0.5567 895/917 [============================>.] - ETA: 13s - loss: 88.7277 - logits_profile_predictions_loss: 87.8374 - logcount_predictions_loss: 0.5565 896/917 [============================>.] - ETA: 12s - loss: 88.7256 - logits_profile_predictions_loss: 87.8352 - logcount_predictions_loss: 0.5565 897/917 [============================>.] - ETA: 11s - loss: 88.6968 - logits_profile_predictions_loss: 87.8058 - logcount_predictions_loss: 0.5569 898/917 [============================>.] - ETA: 11s - loss: 88.6945 - logits_profile_predictions_loss: 87.8035 - logcount_predictions_loss: 0.5569 899/917 [============================>.] - ETA: 10s - loss: 88.6739 - logits_profile_predictions_loss: 87.7827 - logcount_predictions_loss: 0.5570 900/917 [============================>.] - ETA: 10s - loss: 88.6667 - logits_profile_predictions_loss: 87.7752 - logcount_predictions_loss: 0.5572 901/917 [============================>.] - ETA: 9s - loss: 88.6663 - logits_profile_predictions_loss: 87.7751 - logcount_predictions_loss: 0.5570  902/917 [============================>.] - ETA: 8s - loss: 88.6545 - logits_profile_predictions_loss: 87.7634 - logcount_predictions_loss: 0.5570 903/917 [============================>.] - ETA: 8s - loss: 88.6398 - logits_profile_predictions_loss: 87.7489 - logcount_predictions_loss: 0.5569 904/917 [============================>.] - ETA: 7s - loss: 88.6231 - logits_profile_predictions_loss: 87.7322 - logcount_predictions_loss: 0.5568 905/917 [============================>.] - ETA: 7s - loss: 88.6235 - logits_profile_predictions_loss: 87.7325 - logcount_predictions_loss: 0.5570 906/917 [============================>.] - ETA: 6s - loss: 88.6146 - logits_profile_predictions_loss: 87.7239 - logcount_predictions_loss: 0.5567 907/917 [============================>.] - ETA: 5s - loss: 88.6186 - logits_profile_predictions_loss: 87.7278 - logcount_predictions_loss: 0.5568 908/917 [============================>.] - ETA: 5s - loss: 88.6295 - logits_profile_predictions_loss: 87.7390 - logcount_predictions_loss: 0.5566 909/917 [============================>.] - ETA: 4s - loss: 88.6213 - logits_profile_predictions_loss: 87.7311 - logcount_predictions_loss: 0.5564 910/917 [============================>.] - ETA: 4s - loss: 88.6219 - logits_profile_predictions_loss: 87.7318 - logcount_predictions_loss: 0.5564 911/917 [============================>.] - ETA: 3s - loss: 88.5982 - logits_profile_predictions_loss: 87.7082 - logcount_predictions_loss: 0.5563 912/917 [============================>.] - ETA: 2s - loss: 88.5838 - logits_profile_predictions_loss: 87.6941 - logcount_predictions_loss: 0.5561 913/917 [============================>.] - ETA: 2s - loss: 88.5856 - logits_profile_predictions_loss: 87.6960 - logcount_predictions_loss: 0.5561 914/917 [============================>.] - ETA: 1s - loss: 88.5733 - logits_profile_predictions_loss: 87.6836 - logcount_predictions_loss: 0.5561 915/917 [============================>.] - ETA: 1s - loss: 88.5773 - logits_profile_predictions_loss: 87.6877 - logcount_predictions_loss: 0.5561 916/917 [============================>.] - ETA: 0s - loss: 88.5703 - logits_profile_predictions_loss: 87.6811 - logcount_predictions_loss: 0.5558 917/917 [==============================] - ETA: 0s - loss: 88.5686 - logits_profile_predictions_loss: 87.6795 - logcount_predictions_loss: 0.5557 Epoch 10: val_loss did not improve from 108.40745  917/917 [==============================] - 567s 619ms/step - loss: 88.5686 - logits_profile_predictions_loss: 87.6795 - logcount_predictions_loss: 0.5557 - val_loss: 109.1685 - val_logits_profile_predictions_loss: 108.2637 - val_logcount_predictions_loss: 0.5655 Epoch 11/50 1/917 [..............................] - ETA: 9:22 - loss: 97.1819 - logits_profile_predictions_loss: 96.2670 - logcount_predictions_loss: 0.5718 2/917 [..............................] - ETA: 9:05 - loss: 98.7729 - logits_profile_predictions_loss: 97.8086 - logcount_predictions_loss: 0.6027 3/917 [..............................] - ETA: 9:04 - loss: 97.9316 - logits_profile_predictions_loss: 97.0367 - logcount_predictions_loss: 0.5593 4/917 [..............................] - ETA: 9:04 - loss: 94.3559 - logits_profile_predictions_loss: 93.4445 - logcount_predictions_loss: 0.5697 5/917 [..............................] - ETA: 9:03 - loss: 94.5999 - logits_profile_predictions_loss: 93.7097 - logcount_predictions_loss: 0.5564 6/917 [..............................] - ETA: 9:03 - loss: 95.6526 - logits_profile_predictions_loss: 94.8148 - logcount_predictions_loss: 0.5236 7/917 [..............................] - ETA: 9:02 - loss: 95.3041 - logits_profile_predictions_loss: 94.4816 - logcount_predictions_loss: 0.5140 8/917 [..............................] - ETA: 9:01 - loss: 92.2623 - logits_profile_predictions_loss: 91.4589 - logcount_predictions_loss: 0.5021 9/917 [..............................] - ETA: 9:01 - loss: 89.9895 - logits_profile_predictions_loss: 89.1831 - logcount_predictions_loss: 0.5040 10/917 [..............................] - ETA: 9:00 - loss: 89.7263 - logits_profile_predictions_loss: 88.9276 - logcount_predictions_loss: 0.4992 11/917 [..............................] - ETA: 9:00 - loss: 89.3525 - logits_profile_predictions_loss: 88.5771 - logcount_predictions_loss: 0.4846 12/917 [..............................] - ETA: 8:59 - loss: 89.7669 - logits_profile_predictions_loss: 88.9898 - logcount_predictions_loss: 0.4857 13/917 [..............................] - ETA: 8:58 - loss: 89.7730 - logits_profile_predictions_loss: 88.9744 - logcount_predictions_loss: 0.4991 14/917 [..............................] - ETA: 8:58 - loss: 90.0156 - logits_profile_predictions_loss: 89.2274 - logcount_predictions_loss: 0.4926 15/917 [..............................] - ETA: 8:57 - loss: 89.2420 - logits_profile_predictions_loss: 88.4414 - logcount_predictions_loss: 0.5004 16/917 [..............................] - ETA: 8:57 - loss: 88.7341 - logits_profile_predictions_loss: 87.9315 - logcount_predictions_loss: 0.5016 17/917 [..............................] - ETA: 8:56 - loss: 87.5021 - logits_profile_predictions_loss: 86.6880 - logcount_predictions_loss: 0.5088 18/917 [..............................] - ETA: 8:55 - loss: 88.9730 - logits_profile_predictions_loss: 88.1601 - logcount_predictions_loss: 0.5081 19/917 [..............................] - ETA: 8:55 - loss: 88.2785 - logits_profile_predictions_loss: 87.4630 - logcount_predictions_loss: 0.5097 20/917 [..............................] - ETA: 8:54 - loss: 88.5342 - logits_profile_predictions_loss: 87.7279 - logcount_predictions_loss: 0.5040 21/917 [..............................] - ETA: 8:54 - loss: 88.1156 - logits_profile_predictions_loss: 87.3129 - logcount_predictions_loss: 0.5017 22/917 [..............................] - ETA: 8:53 - loss: 88.2844 - logits_profile_predictions_loss: 87.4905 - logcount_predictions_loss: 0.4962 23/917 [..............................] - ETA: 8:52 - loss: 88.2023 - logits_profile_predictions_loss: 87.4092 - logcount_predictions_loss: 0.4957 24/917 [..............................] - ETA: 8:52 - loss: 88.3794 - logits_profile_predictions_loss: 87.5872 - logcount_predictions_loss: 0.4951 25/917 [..............................] - ETA: 8:51 - loss: 87.9535 - logits_profile_predictions_loss: 87.1689 - logcount_predictions_loss: 0.4903 26/917 [..............................] - ETA: 8:51 - loss: 87.6470 - logits_profile_predictions_loss: 86.8665 - logcount_predictions_loss: 0.4878 27/917 [..............................] - ETA: 8:50 - loss: 88.0470 - logits_profile_predictions_loss: 87.2725 - logcount_predictions_loss: 0.4841 28/917 [..............................] - ETA: 8:49 - loss: 88.6924 - logits_profile_predictions_loss: 87.9171 - logcount_predictions_loss: 0.4846 29/917 [..............................] - ETA: 8:49 - loss: 89.1999 - logits_profile_predictions_loss: 88.4194 - logcount_predictions_loss: 0.4878 30/917 [..............................] - ETA: 8:48 - loss: 89.4956 - logits_profile_predictions_loss: 88.7194 - logcount_predictions_loss: 0.4851 31/917 [>.............................] - ETA: 8:48 - loss: 89.1855 - logits_profile_predictions_loss: 88.4053 - logcount_predictions_loss: 0.4876 32/917 [>.............................] - ETA: 8:47 - loss: 89.2431 - logits_profile_predictions_loss: 88.4652 - logcount_predictions_loss: 0.4862 33/917 [>.............................] - ETA: 8:46 - loss: 88.9492 - logits_profile_predictions_loss: 88.1677 - logcount_predictions_loss: 0.4884 34/917 [>.............................] - ETA: 8:46 - loss: 89.3194 - logits_profile_predictions_loss: 88.5400 - logcount_predictions_loss: 0.4871 35/917 [>.............................] - ETA: 8:45 - loss: 88.9165 - logits_profile_predictions_loss: 88.1351 - logcount_predictions_loss: 0.4883 36/917 [>.............................] - ETA: 8:45 - loss: 89.2924 - logits_profile_predictions_loss: 88.5122 - logcount_predictions_loss: 0.4876 37/917 [>.............................] - ETA: 8:44 - loss: 88.6279 - logits_profile_predictions_loss: 87.8486 - logcount_predictions_loss: 0.4870 38/917 [>.............................] - ETA: 8:43 - loss: 88.7711 - logits_profile_predictions_loss: 87.9944 - logcount_predictions_loss: 0.4854 39/917 [>.............................] - ETA: 8:43 - loss: 88.6969 - logits_profile_predictions_loss: 87.9255 - logcount_predictions_loss: 0.4821 40/917 [>.............................] - ETA: 8:42 - loss: 88.9893 - logits_profile_predictions_loss: 88.2174 - logcount_predictions_loss: 0.4824 41/917 [>.............................] - ETA: 8:42 - loss: 88.9316 - logits_profile_predictions_loss: 88.1548 - logcount_predictions_loss: 0.4855 42/917 [>.............................] - ETA: 8:41 - loss: 89.1355 - logits_profile_predictions_loss: 88.3615 - logcount_predictions_loss: 0.4838 43/917 [>.............................] - ETA: 8:41 - loss: 89.0887 - logits_profile_predictions_loss: 88.3135 - logcount_predictions_loss: 0.4845 44/917 [>.............................] - ETA: 8:40 - loss: 89.1227 - logits_profile_predictions_loss: 88.3419 - logcount_predictions_loss: 0.4880 45/917 [>.............................] - ETA: 8:39 - loss: 88.9085 - logits_profile_predictions_loss: 88.1273 - logcount_predictions_loss: 0.4882 46/917 [>.............................] - ETA: 8:39 - loss: 89.0495 - logits_profile_predictions_loss: 88.2649 - logcount_predictions_loss: 0.4904 47/917 [>.............................] - ETA: 8:38 - loss: 88.8189 - logits_profile_predictions_loss: 88.0308 - logcount_predictions_loss: 0.4926 48/917 [>.............................] - ETA: 8:38 - loss: 88.4501 - logits_profile_predictions_loss: 87.6623 - logcount_predictions_loss: 0.4924 49/917 [>.............................] - ETA: 8:37 - loss: 88.3573 - logits_profile_predictions_loss: 87.5712 - logcount_predictions_loss: 0.4913 50/917 [>.............................] - ETA: 8:36 - loss: 88.4255 - logits_profile_predictions_loss: 87.6373 - logcount_predictions_loss: 0.4926 51/917 [>.............................] - ETA: 8:36 - loss: 88.4814 - logits_profile_predictions_loss: 87.6926 - logcount_predictions_loss: 0.4930 52/917 [>.............................] - ETA: 8:35 - loss: 88.6257 - logits_profile_predictions_loss: 87.8362 - logcount_predictions_loss: 0.4934 53/917 [>.............................] - ETA: 8:35 - loss: 88.5512 - logits_profile_predictions_loss: 87.7579 - logcount_predictions_loss: 0.4958 54/917 [>.............................] - ETA: 8:34 - loss: 88.8447 - logits_profile_predictions_loss: 88.0497 - logcount_predictions_loss: 0.4969 55/917 [>.............................] - ETA: 8:33 - loss: 89.0347 - logits_profile_predictions_loss: 88.2387 - logcount_predictions_loss: 0.4975 56/917 [>.............................] - ETA: 8:33 - loss: 88.9792 - logits_profile_predictions_loss: 88.1856 - logcount_predictions_loss: 0.4960 57/917 [>.............................] - ETA: 8:32 - loss: 89.2152 - logits_profile_predictions_loss: 88.4205 - logcount_predictions_loss: 0.4966 58/917 [>.............................] - ETA: 8:32 - loss: 88.8793 - logits_profile_predictions_loss: 88.0856 - logcount_predictions_loss: 0.4961 59/917 [>.............................] - ETA: 8:31 - loss: 88.9661 - logits_profile_predictions_loss: 88.1714 - logcount_predictions_loss: 0.4967 60/917 [>.............................] - ETA: 8:30 - loss: 88.7351 - logits_profile_predictions_loss: 87.9446 - logcount_predictions_loss: 0.4941 61/917 [>.............................] - ETA: 8:30 - loss: 88.7440 - logits_profile_predictions_loss: 87.9520 - logcount_predictions_loss: 0.4950 62/917 [=>............................] - ETA: 8:29 - loss: 88.8017 - logits_profile_predictions_loss: 88.0072 - logcount_predictions_loss: 0.4965 63/917 [=>............................] - ETA: 8:29 - loss: 88.8719 - logits_profile_predictions_loss: 88.0810 - logcount_predictions_loss: 0.4943 64/917 [=>............................] - ETA: 8:28 - loss: 88.9945 - logits_profile_predictions_loss: 88.2002 - logcount_predictions_loss: 0.4965 65/917 [=>............................] - ETA: 8:27 - loss: 88.7887 - logits_profile_predictions_loss: 87.9952 - logcount_predictions_loss: 0.4959 66/917 [=>............................] - ETA: 8:27 - loss: 88.7538 - logits_profile_predictions_loss: 87.9610 - logcount_predictions_loss: 0.4955 67/917 [=>............................] - ETA: 8:26 - loss: 88.4385 - logits_profile_predictions_loss: 87.6461 - logcount_predictions_loss: 0.4952 68/917 [=>............................] - ETA: 8:26 - loss: 88.4856 - logits_profile_predictions_loss: 87.6883 - logcount_predictions_loss: 0.4983 69/917 [=>............................] - ETA: 8:25 - loss: 88.2787 - logits_profile_predictions_loss: 87.4760 - logcount_predictions_loss: 0.5017 70/917 [=>............................] - ETA: 8:24 - loss: 88.2913 - logits_profile_predictions_loss: 87.4862 - logcount_predictions_loss: 0.5032 71/917 [=>............................] - ETA: 8:24 - loss: 88.3155 - logits_profile_predictions_loss: 87.5110 - logcount_predictions_loss: 0.5028 72/917 [=>............................] - ETA: 8:23 - loss: 88.0927 - logits_profile_predictions_loss: 87.2812 - logcount_predictions_loss: 0.5072 73/917 [=>............................] - ETA: 8:23 - loss: 88.0379 - logits_profile_predictions_loss: 87.2276 - logcount_predictions_loss: 0.5064 74/917 [=>............................] - ETA: 8:22 - loss: 88.0375 - logits_profile_predictions_loss: 87.2255 - logcount_predictions_loss: 0.5075 75/917 [=>............................] - ETA: 8:21 - loss: 88.1197 - logits_profile_predictions_loss: 87.3049 - logcount_predictions_loss: 0.5093 76/917 [=>............................] - ETA: 8:21 - loss: 88.1657 - logits_profile_predictions_loss: 87.3528 - logcount_predictions_loss: 0.5080 77/917 [=>............................] - ETA: 8:20 - loss: 88.5343 - logits_profile_predictions_loss: 87.7235 - logcount_predictions_loss: 0.5067 78/917 [=>............................] - ETA: 8:20 - loss: 88.4307 - logits_profile_predictions_loss: 87.6210 - logcount_predictions_loss: 0.5061 79/917 [=>............................] - ETA: 8:19 - loss: 88.3675 - logits_profile_predictions_loss: 87.5523 - logcount_predictions_loss: 0.5095 80/917 [=>............................] - ETA: 8:19 - loss: 88.2425 - logits_profile_predictions_loss: 87.4278 - logcount_predictions_loss: 0.5092 81/917 [=>............................] - ETA: 8:18 - loss: 88.3165 - logits_profile_predictions_loss: 87.5023 - logcount_predictions_loss: 0.5089 82/917 [=>............................] - ETA: 8:17 - loss: 88.2865 - logits_profile_predictions_loss: 87.4749 - logcount_predictions_loss: 0.5073 83/917 [=>............................] - ETA: 8:17 - loss: 88.2836 - logits_profile_predictions_loss: 87.4709 - logcount_predictions_loss: 0.5080 84/917 [=>............................] - ETA: 8:16 - loss: 88.4103 - logits_profile_predictions_loss: 87.5895 - logcount_predictions_loss: 0.5130 85/917 [=>............................] - ETA: 8:16 - loss: 88.3993 - logits_profile_predictions_loss: 87.5802 - logcount_predictions_loss: 0.5119 86/917 [=>............................] - ETA: 8:15 - loss: 88.3498 - logits_profile_predictions_loss: 87.5300 - logcount_predictions_loss: 0.5124 87/917 [=>............................] - ETA: 8:14 - loss: 88.5142 - logits_profile_predictions_loss: 87.6925 - logcount_predictions_loss: 0.5136 88/917 [=>............................] - ETA: 8:14 - loss: 88.5016 - logits_profile_predictions_loss: 87.6786 - logcount_predictions_loss: 0.5144 89/917 [=>............................] - ETA: 8:13 - loss: 88.6917 - logits_profile_predictions_loss: 87.8704 - logcount_predictions_loss: 0.5133 90/917 [=>............................] - ETA: 8:13 - loss: 88.7549 - logits_profile_predictions_loss: 87.9325 - logcount_predictions_loss: 0.5140 91/917 [=>............................] - ETA: 8:12 - loss: 88.8864 - logits_profile_predictions_loss: 88.0628 - logcount_predictions_loss: 0.5148 92/917 [==>...........................] - ETA: 8:11 - loss: 88.9383 - logits_profile_predictions_loss: 88.1154 - logcount_predictions_loss: 0.5143 93/917 [==>...........................] - ETA: 8:11 - loss: 88.9318 - logits_profile_predictions_loss: 88.1098 - logcount_predictions_loss: 0.5138 94/917 [==>...........................] - ETA: 8:10 - loss: 88.8269 - logits_profile_predictions_loss: 88.0027 - logcount_predictions_loss: 0.5151 95/917 [==>...........................] - ETA: 8:10 - loss: 88.8193 - logits_profile_predictions_loss: 87.9940 - logcount_predictions_loss: 0.5159 96/917 [==>...........................] - ETA: 8:09 - loss: 88.7838 - logits_profile_predictions_loss: 87.9565 - logcount_predictions_loss: 0.5170 97/917 [==>...........................] - ETA: 8:08 - loss: 88.7859 - logits_profile_predictions_loss: 87.9599 - logcount_predictions_loss: 0.5163 98/917 [==>...........................] - ETA: 8:08 - loss: 88.7144 - logits_profile_predictions_loss: 87.8900 - logcount_predictions_loss: 0.5153 99/917 [==>...........................] - ETA: 8:07 - loss: 88.6052 - logits_profile_predictions_loss: 87.7838 - logcount_predictions_loss: 0.5134 100/917 [==>...........................] - ETA: 8:07 - loss: 88.6160 - logits_profile_predictions_loss: 87.7959 - logcount_predictions_loss: 0.5126 101/917 [==>...........................] - ETA: 8:06 - loss: 88.7379 - logits_profile_predictions_loss: 87.9169 - logcount_predictions_loss: 0.5132 102/917 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- ETA: 44s - loss: 87.6945 - logits_profile_predictions_loss: 86.8167 - logcount_predictions_loss: 0.5486 843/917 [==========================>...] - ETA: 44s - loss: 87.6934 - logits_profile_predictions_loss: 86.8156 - logcount_predictions_loss: 0.5486 844/917 [==========================>...] - ETA: 43s - loss: 87.6920 - logits_profile_predictions_loss: 86.8142 - logcount_predictions_loss: 0.5486 845/917 [==========================>...] - ETA: 42s - loss: 87.6715 - logits_profile_predictions_loss: 86.7938 - logcount_predictions_loss: 0.5486 846/917 [==========================>...] - ETA: 42s - loss: 87.6867 - logits_profile_predictions_loss: 86.8091 - logcount_predictions_loss: 0.5485 847/917 [==========================>...] - ETA: 41s - loss: 87.7017 - logits_profile_predictions_loss: 86.8242 - logcount_predictions_loss: 0.5484 848/917 [==========================>...] - ETA: 41s - loss: 87.7124 - logits_profile_predictions_loss: 86.8350 - logcount_predictions_loss: 0.5484 849/917 [==========================>...] - ETA: 40s - loss: 87.7072 - logits_profile_predictions_loss: 86.8293 - logcount_predictions_loss: 0.5486 850/917 [==========================>...] - ETA: 39s - loss: 87.7180 - logits_profile_predictions_loss: 86.8404 - logcount_predictions_loss: 0.5485 851/917 [==========================>...] - ETA: 39s - loss: 87.7212 - logits_profile_predictions_loss: 86.8437 - logcount_predictions_loss: 0.5484 852/917 [==========================>...] - ETA: 38s - loss: 87.7304 - logits_profile_predictions_loss: 86.8530 - logcount_predictions_loss: 0.5484 853/917 [==========================>...] - ETA: 38s - loss: 87.7140 - logits_profile_predictions_loss: 86.8365 - logcount_predictions_loss: 0.5484 854/917 [==========================>...] - ETA: 37s - loss: 87.7086 - logits_profile_predictions_loss: 86.8310 - logcount_predictions_loss: 0.5484 855/917 [==========================>...] - ETA: 36s - loss: 87.7097 - logits_profile_predictions_loss: 86.8323 - 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logits_profile_predictions_loss: 86.7958 - logcount_predictions_loss: 0.5484 863/917 [===========================>..] - ETA: 32s - loss: 87.6694 - logits_profile_predictions_loss: 86.7920 - logcount_predictions_loss: 0.5484 864/917 [===========================>..] - ETA: 31s - loss: 87.6822 - logits_profile_predictions_loss: 86.8048 - logcount_predictions_loss: 0.5483 865/917 [===========================>..] - ETA: 31s - loss: 87.6593 - logits_profile_predictions_loss: 86.7818 - logcount_predictions_loss: 0.5484 866/917 [===========================>..] - ETA: 30s - loss: 87.6805 - logits_profile_predictions_loss: 86.8030 - logcount_predictions_loss: 0.5484 867/917 [===========================>..] - ETA: 29s - loss: 87.6620 - logits_profile_predictions_loss: 86.7848 - logcount_predictions_loss: 0.5482 868/917 [===========================>..] - ETA: 29s - loss: 87.6545 - logits_profile_predictions_loss: 86.7775 - logcount_predictions_loss: 0.5481 869/917 [===========================>..] - ETA: 28s - loss: 87.6508 - logits_profile_predictions_loss: 86.7738 - logcount_predictions_loss: 0.5481 870/917 [===========================>..] - ETA: 28s - loss: 87.6607 - logits_profile_predictions_loss: 86.7839 - logcount_predictions_loss: 0.5480 871/917 [===========================>..] - ETA: 27s - loss: 87.6498 - logits_profile_predictions_loss: 86.7732 - logcount_predictions_loss: 0.5479 872/917 [===========================>..] - ETA: 26s - loss: 87.6653 - logits_profile_predictions_loss: 86.7888 - logcount_predictions_loss: 0.5478 873/917 [===========================>..] - ETA: 26s - loss: 87.6841 - logits_profile_predictions_loss: 86.8076 - logcount_predictions_loss: 0.5478 874/917 [===========================>..] - ETA: 25s - loss: 87.6917 - logits_profile_predictions_loss: 86.8150 - logcount_predictions_loss: 0.5479 875/917 [===========================>..] - ETA: 25s - loss: 87.6802 - logits_profile_predictions_loss: 86.8036 - logcount_predictions_loss: 0.5478 876/917 [===========================>..] - ETA: 24s - loss: 87.6780 - logits_profile_predictions_loss: 86.8014 - logcount_predictions_loss: 0.5478 877/917 [===========================>..] - ETA: 23s - loss: 87.6594 - logits_profile_predictions_loss: 86.7829 - logcount_predictions_loss: 0.5478 878/917 [===========================>..] - ETA: 23s - loss: 87.6522 - logits_profile_predictions_loss: 86.7756 - logcount_predictions_loss: 0.5479 879/917 [===========================>..] - ETA: 22s - loss: 87.6744 - logits_profile_predictions_loss: 86.7975 - logcount_predictions_loss: 0.5480 880/917 [===========================>..] - ETA: 22s - loss: 87.6905 - logits_profile_predictions_loss: 86.8138 - logcount_predictions_loss: 0.5479 881/917 [===========================>..] - ETA: 21s - loss: 87.6971 - logits_profile_predictions_loss: 86.8200 - logcount_predictions_loss: 0.5482 882/917 [===========================>..] - ETA: 20s - loss: 87.6753 - logits_profile_predictions_loss: 86.7981 - logcount_predictions_loss: 0.5482 883/917 [===========================>..] - ETA: 20s - loss: 87.6779 - logits_profile_predictions_loss: 86.8011 - logcount_predictions_loss: 0.5480 884/917 [===========================>..] - ETA: 19s - loss: 87.6937 - logits_profile_predictions_loss: 86.8170 - logcount_predictions_loss: 0.5479 885/917 [===========================>..] - ETA: 19s - loss: 87.6924 - logits_profile_predictions_loss: 86.8157 - logcount_predictions_loss: 0.5480 886/917 [===========================>..] - ETA: 18s - loss: 87.6891 - logits_profile_predictions_loss: 86.8126 - logcount_predictions_loss: 0.5478 887/917 [============================>.] - ETA: 17s - loss: 87.6742 - logits_profile_predictions_loss: 86.7980 - logcount_predictions_loss: 0.5476 888/917 [============================>.] - ETA: 17s - loss: 87.6759 - logits_profile_predictions_loss: 86.7996 - logcount_predictions_loss: 0.5477 889/917 [============================>.] - ETA: 16s - loss: 87.6841 - logits_profile_predictions_loss: 86.8079 - logcount_predictions_loss: 0.5476 890/917 [============================>.] - ETA: 16s - loss: 87.6656 - logits_profile_predictions_loss: 86.7896 - logcount_predictions_loss: 0.5475 891/917 [============================>.] - ETA: 15s - loss: 87.6562 - logits_profile_predictions_loss: 86.7803 - logcount_predictions_loss: 0.5474 892/917 [============================>.] - ETA: 14s - loss: 87.6485 - logits_profile_predictions_loss: 86.7726 - logcount_predictions_loss: 0.5474 893/917 [============================>.] - ETA: 14s - loss: 87.6516 - logits_profile_predictions_loss: 86.7758 - logcount_predictions_loss: 0.5473 894/917 [============================>.] - ETA: 13s - loss: 87.6341 - logits_profile_predictions_loss: 86.7586 - logcount_predictions_loss: 0.5472 895/917 [============================>.] - ETA: 13s - loss: 87.6363 - logits_profile_predictions_loss: 86.7608 - logcount_predictions_loss: 0.5472 896/917 [============================>.] - ETA: 12s - loss: 87.6147 - logits_profile_predictions_loss: 86.7393 - logcount_predictions_loss: 0.5471 897/917 [============================>.] - ETA: 11s - loss: 87.6386 - logits_profile_predictions_loss: 86.7629 - logcount_predictions_loss: 0.5473 898/917 [============================>.] - ETA: 11s - loss: 87.6379 - logits_profile_predictions_loss: 86.7622 - logcount_predictions_loss: 0.5473 899/917 [============================>.] - ETA: 10s - loss: 87.6351 - logits_profile_predictions_loss: 86.7595 - logcount_predictions_loss: 0.5472 900/917 [============================>.] - ETA: 10s - loss: 87.6390 - logits_profile_predictions_loss: 86.7628 - logcount_predictions_loss: 0.5476 901/917 [============================>.] - ETA: 9s - loss: 87.6505 - logits_profile_predictions_loss: 86.7742 - logcount_predictions_loss: 0.5476  902/917 [============================>.] - ETA: 8s - loss: 87.6595 - logits_profile_predictions_loss: 86.7832 - logcount_predictions_loss: 0.5476 903/917 [============================>.] - ETA: 8s - loss: 87.6696 - logits_profile_predictions_loss: 86.7934 - logcount_predictions_loss: 0.5477 904/917 [============================>.] - ETA: 7s - loss: 87.6719 - logits_profile_predictions_loss: 86.7959 - logcount_predictions_loss: 0.5475 905/917 [============================>.] - ETA: 7s - loss: 87.6718 - logits_profile_predictions_loss: 86.7958 - logcount_predictions_loss: 0.5475 906/917 [============================>.] - ETA: 6s - loss: 87.6640 - logits_profile_predictions_loss: 86.7880 - logcount_predictions_loss: 0.5475 907/917 [============================>.] - ETA: 5s - loss: 87.6784 - logits_profile_predictions_loss: 86.8024 - logcount_predictions_loss: 0.5475 908/917 [============================>.] - ETA: 5s - loss: 87.6887 - logits_profile_predictions_loss: 86.8127 - logcount_predictions_loss: 0.5475 909/917 [============================>.] - ETA: 4s - loss: 87.6792 - logits_profile_predictions_loss: 86.8030 - logcount_predictions_loss: 0.5476 910/917 [============================>.] - ETA: 4s - loss: 87.6757 - logits_profile_predictions_loss: 86.7995 - logcount_predictions_loss: 0.5476 911/917 [============================>.] - ETA: 3s - loss: 87.6878 - logits_profile_predictions_loss: 86.8117 - logcount_predictions_loss: 0.5475 912/917 [============================>.] - ETA: 2s - loss: 87.6778 - logits_profile_predictions_loss: 86.8015 - logcount_predictions_loss: 0.5477 913/917 [============================>.] - ETA: 2s - loss: 87.6846 - logits_profile_predictions_loss: 86.8079 - logcount_predictions_loss: 0.5479 914/917 [============================>.] - ETA: 1s - loss: 87.6789 - logits_profile_predictions_loss: 86.8023 - logcount_predictions_loss: 0.5478 915/917 [============================>.] - ETA: 1s - loss: 87.6906 - logits_profile_predictions_loss: 86.8143 - logcount_predictions_loss: 0.5477 916/917 [============================>.] - ETA: 0s - loss: 87.6819 - logits_profile_predictions_loss: 86.8056 - logcount_predictions_loss: 0.5477 917/917 [==============================] - ETA: 0s - loss: 87.6844 - logits_profile_predictions_loss: 86.8083 - logcount_predictions_loss: 0.5476 Epoch 11: val_loss did not improve from 108.40745  917/917 [==============================] - 567s 619ms/step - loss: 87.6844 - logits_profile_predictions_loss: 86.8083 - logcount_predictions_loss: 0.5476 - val_loss: 110.1218 - val_logits_profile_predictions_loss: 109.1062 - val_logcount_predictions_loss: 0.6347 Epoch 12/50 1/917 [..............................] - ETA: 9:22 - loss: 77.9351 - logits_profile_predictions_loss: 77.3487 - logcount_predictions_loss: 0.3665 2/917 [..............................] - ETA: 9:05 - loss: 79.5040 - logits_profile_predictions_loss: 78.8629 - logcount_predictions_loss: 0.4007 3/917 [..............................] - ETA: 9:04 - loss: 87.6729 - logits_profile_predictions_loss: 86.9621 - logcount_predictions_loss: 0.4442 4/917 [..............................] - ETA: 9:04 - loss: 89.1484 - logits_profile_predictions_loss: 88.4542 - logcount_predictions_loss: 0.4339 5/917 [..............................] - ETA: 9:03 - loss: 84.6866 - logits_profile_predictions_loss: 83.9217 - logcount_predictions_loss: 0.4780 6/917 [..............................] - ETA: 9:03 - loss: 82.6179 - logits_profile_predictions_loss: 81.7950 - logcount_predictions_loss: 0.5143 7/917 [..............................] - ETA: 9:02 - loss: 83.3432 - logits_profile_predictions_loss: 82.5140 - logcount_predictions_loss: 0.5183 8/917 [..............................] - ETA: 9:01 - loss: 83.3161 - logits_profile_predictions_loss: 82.4969 - logcount_predictions_loss: 0.5120 9/917 [..............................] - ETA: 9:01 - loss: 85.0255 - logits_profile_predictions_loss: 84.2022 - logcount_predictions_loss: 0.5146 10/917 [..............................] - ETA: 9:00 - loss: 84.3637 - logits_profile_predictions_loss: 83.5629 - logcount_predictions_loss: 0.5005 11/917 [..............................] - ETA: 9:00 - loss: 83.4715 - logits_profile_predictions_loss: 82.5990 - logcount_predictions_loss: 0.5453 12/917 [..............................] - ETA: 8:59 - loss: 82.6838 - logits_profile_predictions_loss: 81.8034 - logcount_predictions_loss: 0.5503 13/917 [..............................] - ETA: 8:58 - loss: 83.9983 - logits_profile_predictions_loss: 83.1169 - logcount_predictions_loss: 0.5508 14/917 [..............................] - ETA: 8:58 - loss: 85.5750 - logits_profile_predictions_loss: 84.7040 - logcount_predictions_loss: 0.5444 15/917 [..............................] - ETA: 8:57 - loss: 84.2539 - logits_profile_predictions_loss: 83.3903 - logcount_predictions_loss: 0.5398 16/917 [..............................] - ETA: 8:57 - loss: 84.2872 - logits_profile_predictions_loss: 83.4194 - logcount_predictions_loss: 0.5424 17/917 [..............................] - ETA: 8:56 - loss: 84.1874 - logits_profile_predictions_loss: 83.3113 - logcount_predictions_loss: 0.5476 18/917 [..............................] - ETA: 8:56 - loss: 84.5173 - logits_profile_predictions_loss: 83.6173 - logcount_predictions_loss: 0.5625 19/917 [..............................] - ETA: 8:55 - loss: 84.7391 - logits_profile_predictions_loss: 83.8319 - logcount_predictions_loss: 0.5670 20/917 [..............................] - ETA: 8:54 - loss: 84.5139 - logits_profile_predictions_loss: 83.6095 - logcount_predictions_loss: 0.5653 21/917 [..............................] - ETA: 8:54 - loss: 84.8773 - logits_profile_predictions_loss: 83.9639 - logcount_predictions_loss: 0.5709 22/917 [..............................] - ETA: 8:53 - loss: 85.5403 - logits_profile_predictions_loss: 84.6238 - logcount_predictions_loss: 0.5728 23/917 [..............................] - ETA: 8:53 - loss: 85.6108 - logits_profile_predictions_loss: 84.6765 - logcount_predictions_loss: 0.5840 24/917 [..............................] - 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logcount_predictions_loss: 0.5329 866/917 [===========================>..] - ETA: 30s - loss: 86.8421 - logits_profile_predictions_loss: 85.9896 - logcount_predictions_loss: 0.5328 867/917 [===========================>..] - ETA: 29s - loss: 86.8274 - logits_profile_predictions_loss: 85.9751 - logcount_predictions_loss: 0.5327 868/917 [===========================>..] - ETA: 29s - loss: 86.8554 - logits_profile_predictions_loss: 86.0031 - logcount_predictions_loss: 0.5327 869/917 [===========================>..] - ETA: 28s - loss: 86.8490 - logits_profile_predictions_loss: 85.9967 - logcount_predictions_loss: 0.5326 870/917 [===========================>..] - ETA: 28s - loss: 86.8524 - logits_profile_predictions_loss: 86.0001 - logcount_predictions_loss: 0.5327 871/917 [===========================>..] - ETA: 27s - loss: 86.8489 - logits_profile_predictions_loss: 85.9967 - logcount_predictions_loss: 0.5326 872/917 [===========================>..] - ETA: 26s - loss: 86.8475 - logits_profile_predictions_loss: 85.9952 - logcount_predictions_loss: 0.5327 873/917 [===========================>..] - ETA: 26s - loss: 86.8311 - logits_profile_predictions_loss: 85.9791 - logcount_predictions_loss: 0.5325 874/917 [===========================>..] - ETA: 25s - loss: 86.8378 - logits_profile_predictions_loss: 85.9855 - logcount_predictions_loss: 0.5326 875/917 [===========================>..] - ETA: 25s - loss: 86.8429 - logits_profile_predictions_loss: 85.9905 - logcount_predictions_loss: 0.5327 876/917 [===========================>..] - ETA: 24s - loss: 86.8326 - logits_profile_predictions_loss: 85.9804 - logcount_predictions_loss: 0.5326 877/917 [===========================>..] - ETA: 23s - loss: 86.8194 - logits_profile_predictions_loss: 85.9671 - logcount_predictions_loss: 0.5326 878/917 [===========================>..] - ETA: 23s - loss: 86.8124 - logits_profile_predictions_loss: 85.9603 - logcount_predictions_loss: 0.5325 879/917 [===========================>..] - ETA: 22s - loss: 86.8266 - logits_profile_predictions_loss: 85.9744 - logcount_predictions_loss: 0.5325 880/917 [===========================>..] - ETA: 22s - loss: 86.7998 - logits_profile_predictions_loss: 85.9480 - logcount_predictions_loss: 0.5323 881/917 [===========================>..] - ETA: 21s - loss: 86.8004 - logits_profile_predictions_loss: 85.9489 - logcount_predictions_loss: 0.5322 882/917 [===========================>..] - ETA: 20s - loss: 86.7907 - logits_profile_predictions_loss: 85.9395 - logcount_predictions_loss: 0.5320 883/917 [===========================>..] - ETA: 20s - loss: 86.8180 - logits_profile_predictions_loss: 85.9669 - logcount_predictions_loss: 0.5319 884/917 [===========================>..] - ETA: 19s - loss: 86.8218 - logits_profile_predictions_loss: 85.9708 - logcount_predictions_loss: 0.5318 885/917 [===========================>..] - ETA: 19s - loss: 86.8112 - logits_profile_predictions_loss: 85.9603 - logcount_predictions_loss: 0.5317 886/917 [===========================>..] - ETA: 18s - loss: 86.8121 - logits_profile_predictions_loss: 85.9611 - logcount_predictions_loss: 0.5319 887/917 [============================>.] - ETA: 17s - loss: 86.8116 - logits_profile_predictions_loss: 85.9607 - logcount_predictions_loss: 0.5318 888/917 [============================>.] - ETA: 17s - loss: 86.8258 - logits_profile_predictions_loss: 85.9750 - logcount_predictions_loss: 0.5317 889/917 [============================>.] - ETA: 16s - loss: 86.8385 - logits_profile_predictions_loss: 85.9874 - logcount_predictions_loss: 0.5319 890/917 [============================>.] - ETA: 16s - loss: 86.8320 - logits_profile_predictions_loss: 85.9810 - logcount_predictions_loss: 0.5318 891/917 [============================>.] - ETA: 15s - loss: 86.8309 - logits_profile_predictions_loss: 85.9799 - logcount_predictions_loss: 0.5319 892/917 [============================>.] - ETA: 14s - loss: 86.8376 - logits_profile_predictions_loss: 85.9867 - logcount_predictions_loss: 0.5318 893/917 [============================>.] - ETA: 14s - loss: 86.8345 - logits_profile_predictions_loss: 85.9836 - logcount_predictions_loss: 0.5317 894/917 [============================>.] - ETA: 13s - loss: 86.8360 - logits_profile_predictions_loss: 85.9852 - logcount_predictions_loss: 0.5317 895/917 [============================>.] - ETA: 13s - loss: 86.8308 - logits_profile_predictions_loss: 85.9805 - logcount_predictions_loss: 0.5314 896/917 [============================>.] - ETA: 12s - loss: 86.8406 - logits_profile_predictions_loss: 85.9903 - logcount_predictions_loss: 0.5314 897/917 [============================>.] - ETA: 11s - loss: 86.8411 - logits_profile_predictions_loss: 85.9910 - logcount_predictions_loss: 0.5313 898/917 [============================>.] - ETA: 11s - loss: 86.8298 - logits_profile_predictions_loss: 85.9796 - logcount_predictions_loss: 0.5314 899/917 [============================>.] - ETA: 10s - loss: 86.8241 - logits_profile_predictions_loss: 85.9740 - logcount_predictions_loss: 0.5313 900/917 [============================>.] - ETA: 10s - loss: 86.8490 - logits_profile_predictions_loss: 85.9988 - logcount_predictions_loss: 0.5313 901/917 [============================>.] - ETA: 9s - loss: 86.8486 - logits_profile_predictions_loss: 85.9984 - logcount_predictions_loss: 0.5314  902/917 [============================>.] - ETA: 8s - loss: 86.8461 - logits_profile_predictions_loss: 85.9960 - logcount_predictions_loss: 0.5313 903/917 [============================>.] - ETA: 8s - loss: 86.8378 - logits_profile_predictions_loss: 85.9879 - logcount_predictions_loss: 0.5312 904/917 [============================>.] - ETA: 7s - loss: 86.8508 - logits_profile_predictions_loss: 86.0012 - logcount_predictions_loss: 0.5310 905/917 [============================>.] - ETA: 7s - loss: 86.8300 - logits_profile_predictions_loss: 85.9804 - logcount_predictions_loss: 0.5310 906/917 [============================>.] - ETA: 6s - loss: 86.8222 - logits_profile_predictions_loss: 85.9726 - logcount_predictions_loss: 0.5310 907/917 [============================>.] - ETA: 5s - loss: 86.8211 - logits_profile_predictions_loss: 85.9715 - logcount_predictions_loss: 0.5310 908/917 [============================>.] - ETA: 5s - loss: 86.8166 - logits_profile_predictions_loss: 85.9671 - logcount_predictions_loss: 0.5310 909/917 [============================>.] - ETA: 4s - loss: 86.8330 - logits_profile_predictions_loss: 85.9831 - logcount_predictions_loss: 0.5312 910/917 [============================>.] - ETA: 4s - loss: 86.8385 - logits_profile_predictions_loss: 85.9886 - logcount_predictions_loss: 0.5312 911/917 [============================>.] - ETA: 3s - loss: 86.8324 - logits_profile_predictions_loss: 85.9827 - logcount_predictions_loss: 0.5310 912/917 [============================>.] - ETA: 2s - loss: 86.8273 - logits_profile_predictions_loss: 85.9775 - logcount_predictions_loss: 0.5311 913/917 [============================>.] - ETA: 2s - loss: 86.8367 - logits_profile_predictions_loss: 85.9871 - logcount_predictions_loss: 0.5310 914/917 [============================>.] - ETA: 1s - loss: 86.8488 - logits_profile_predictions_loss: 85.9996 - logcount_predictions_loss: 0.5307 915/917 [============================>.] - ETA: 1s - loss: 86.8473 - logits_profile_predictions_loss: 85.9984 - logcount_predictions_loss: 0.5305 916/917 [============================>.] - ETA: 0s - loss: 86.8504 - logits_profile_predictions_loss: 86.0017 - logcount_predictions_loss: 0.5304 917/917 [==============================] - ETA: 0s - loss: 86.8359 - logits_profile_predictions_loss: 85.9874 - logcount_predictions_loss: 0.5303 Epoch 12: val_loss did not improve from 108.40745 Restoring model weights from the end of the best epoch: 7.  917/917 [==============================] - 568s 619ms/step - loss: 86.8359 - logits_profile_predictions_loss: 85.9874 - logcount_predictions_loss: 0.5303 - val_loss: 110.5904 - val_logits_profile_predictions_loss: 109.6786 - val_logcount_predictions_loss: 0.5699 Epoch 12: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(12994, 10) 0/204 100/204 200/204 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 1/204 [..............................] - ETA: 58s 2/204 [..............................] - ETA: 35s 3/204 [..............................] - ETA: 35s 4/204 [..............................] - ETA: 35s 5/204 [..............................] - ETA: 35s 6/204 [..............................] - ETA: 34s 7/204 [>.............................] - ETA: 34s 8/204 [>.............................] - ETA: 34s 9/204 [>.............................] - ETA: 34s 10/204 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[===========================>..] - ETA: 1s 194/204 [===========================>..] - ETA: 1s 195/204 [===========================>..] - ETA: 1s 196/204 [===========================>..] - ETA: 1s 197/204 [===========================>..] - ETA: 1s 198/204 [============================>.] - ETA: 1s 199/204 [============================>.] - ETA: 0s 200/204 [============================>.] - ETA: 0s 201/204 [============================>.] - ETA: 0s 202/204 [============================>.] - ETA: 0s 203/204 [============================>.] - ETA: 0s 204/204 [==============================] - ETA: 0s 204/204 [==============================] - 36s 176ms/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