Live Estimating enzyme shift in input file Current estimated shift: +4/-4 awk -v OFS="\t" '{if ($6=="+"){print $1,$2+0,$3,$4,$5,$6} else if ($6=="-") {print $1,$2,$3+0,$4,$5,$6}}' | sort -k1,1 | bedtools genomecov -bg -5 -i stdin -g /oak/stanford/groups/akundaje/soumyak/refs/hg38/GRCh38_EBV.chrom.sizes.tsv | LC_COLLATE="C" sort -k1,1 -k2,2n Making BedGraph (Filter chromosomes not in reference fasta) Making Bigwig non zero bigwig entries in the given chromosome: 39751 evaluating hyperparameters on the following chromosomes ['chr1', 'chr2', 'chr3', 'chr4', 'chr5', 'chr6', 'chr8', 'chr9', 'chr11', 'chr12', 'chr14', 'chr15', 'chr16', 'chr20', 'chr22', 'chrY', 'chr10', 'chr18'] Number of peaks input: 16380 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 16380 Number of peaks input: 4144 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 4144 Number of non peaks input: 32760 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 32760 Number of non peaks input: 4144 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 4144 Number of peaks after removing outliers: 16378 Number of nonpeaks after removing outliers: 6713 WARNING: you are training on low-read depth data 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 1/210 [..............................] - ETA: 6:34 2/210 [..............................] - ETA: 1:09 11/210 [>.............................] - ETA: 7s  20/210 [=>............................] - ETA: 4s 29/210 [===>..........................] - ETA: 3s 38/210 [====>.........................] - ETA: 2s 47/210 [=====>........................] - ETA: 2s 56/210 [=======>......................] - ETA: 1s 65/210 [========>.....................] - ETA: 1s 74/210 [=========>....................] - ETA: 1s 83/210 [==========>...................] - ETA: 1s 92/210 [============>.................] - ETA: 1s 101/210 [=============>................] - ETA: 0s 110/210 [==============>...............] - ETA: 0s 119/210 [================>.............] - ETA: 0s 128/210 [=================>............] - ETA: 0s 137/210 [==================>...........] - ETA: 0s 146/210 [===================>..........] - ETA: 0s 155/210 [=====================>........] - ETA: 0s 164/210 [======================>.......] - ETA: 0s 173/210 [=======================>......] - ETA: 0s 182/210 [=========================>....] - ETA: 0s 191/210 [==========================>...] - ETA: 0s 200/210 [===========================>..] - ETA: 0s 209/210 [============================>.] - ETA: 0s 210/210 [==============================] - 3s 8ms/step got the model loading peaks... got split:test for bed regions:(4144, 10) 0/65 Bias model pearsonr performance in peaks is: -0.12 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_4.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(14914, 10) loading nonpeaks... got split:train for bed regions:(6184, 10) loading peaks... got split:valid for bed regions:(1464, 10) loading nonpeaks... got split:valid for bed regions:(529, 10) Epoch 1/50 1/257 [..............................] - ETA: 20:09 - loss: 32.2407 - logits_profile_predictions_loss: 29.0723 - logcount_predictions_loss: 3.1684 2/257 [..............................] - ETA: 1:17 - loss: 35.0304 - logits_profile_predictions_loss: 32.8417 - logcount_predictions_loss: 2.1887  3/257 [..............................] - ETA: 1:17 - loss: 34.8051 - logits_profile_predictions_loss: 33.0352 - logcount_predictions_loss: 1.7699 4/257 [..............................] - ETA: 1:16 - loss: 34.8128 - logits_profile_predictions_loss: 33.3021 - logcount_predictions_loss: 1.5107 5/257 [..............................] - ETA: 1:16 - loss: 42.5575 - logits_profile_predictions_loss: 41.1215 - logcount_predictions_loss: 1.4360 6/257 [..............................] - ETA: 1:15 - loss: 40.8214 - logits_profile_predictions_loss: 39.4991 - logcount_predictions_loss: 1.3223 7/257 [..............................] - ETA: 1:15 - loss: 39.9307 - logits_profile_predictions_loss: 38.6622 - logcount_predictions_loss: 1.2685 8/257 [..............................] - ETA: 1:15 - loss: 39.4973 - logits_profile_predictions_loss: 38.2638 - logcount_predictions_loss: 1.2335 9/257 [>.............................] - ETA: 1:14 - loss: 38.9353 - logits_profile_predictions_loss: 37.7367 - logcount_predictions_loss: 1.1986 10/257 [>.............................] - ETA: 1:14 - loss: 38.6061 - logits_profile_predictions_loss: 37.4279 - logcount_predictions_loss: 1.1782 11/257 [>.............................] - ETA: 1:14 - loss: 37.8083 - logits_profile_predictions_loss: 36.6720 - logcount_predictions_loss: 1.1363 12/257 [>.............................] - ETA: 1:13 - loss: 37.5030 - logits_profile_predictions_loss: 36.3731 - logcount_predictions_loss: 1.1298 13/257 [>.............................] - ETA: 1:13 - loss: 36.8292 - logits_profile_predictions_loss: 35.7258 - logcount_predictions_loss: 1.1034 14/257 [>.............................] - ETA: 1:13 - loss: 36.2967 - logits_profile_predictions_loss: 35.2205 - logcount_predictions_loss: 1.0763 15/257 [>.............................] - ETA: 1:12 - loss: 35.9957 - logits_profile_predictions_loss: 34.9295 - logcount_predictions_loss: 1.0662 16/257 [>.............................] - ETA: 1:12 - loss: 35.5149 - logits_profile_predictions_loss: 34.4672 - logcount_predictions_loss: 1.0476 17/257 [>.............................] - ETA: 1:12 - loss: 35.1842 - logits_profile_predictions_loss: 34.1506 - logcount_predictions_loss: 1.0336 18/257 [=>............................] - ETA: 1:11 - loss: 34.8714 - logits_profile_predictions_loss: 33.8560 - logcount_predictions_loss: 1.0154 19/257 [=>............................] - ETA: 1:11 - loss: 34.6905 - logits_profile_predictions_loss: 33.6815 - logcount_predictions_loss: 1.0090 20/257 [=>............................] - ETA: 1:11 - loss: 34.6526 - logits_profile_predictions_loss: 33.6467 - logcount_predictions_loss: 1.0059 21/257 [=>............................] - ETA: 1:10 - loss: 34.3636 - logits_profile_predictions_loss: 33.3709 - logcount_predictions_loss: 0.9927 22/257 [=>............................] - ETA: 1:10 - loss: 34.1364 - logits_profile_predictions_loss: 33.1534 - logcount_predictions_loss: 0.9831 23/257 [=>............................] - ETA: 1:20 - loss: 34.0722 - logits_profile_predictions_loss: 33.0936 - logcount_predictions_loss: 0.9787 24/257 [=>............................] - ETA: 1:19 - loss: 33.8963 - logits_profile_predictions_loss: 32.9245 - logcount_predictions_loss: 0.9718 25/257 [=>............................] - ETA: 1:18 - loss: 33.8558 - logits_profile_predictions_loss: 32.8817 - logcount_predictions_loss: 0.9741 26/257 [==>...........................] - ETA: 1:17 - loss: 33.8271 - logits_profile_predictions_loss: 32.8568 - logcount_predictions_loss: 0.9702 27/257 [==>...........................] - ETA: 1:17 - loss: 33.6796 - logits_profile_predictions_loss: 32.7158 - logcount_predictions_loss: 0.9638 28/257 [==>...........................] - ETA: 1:16 - loss: 33.4843 - logits_profile_predictions_loss: 32.5312 - logcount_predictions_loss: 0.9531 29/257 [==>...........................] - ETA: 1:15 - loss: 33.2935 - logits_profile_predictions_loss: 32.3514 - logcount_predictions_loss: 0.9421 30/257 [==>...........................] - ETA: 1:15 - loss: 33.1815 - logits_profile_predictions_loss: 32.2424 - logcount_predictions_loss: 0.9392 31/257 [==>...........................] - ETA: 1:14 - loss: 33.1546 - logits_profile_predictions_loss: 32.2155 - logcount_predictions_loss: 0.9391 32/257 [==>...........................] - ETA: 1:14 - loss: 33.1557 - logits_profile_predictions_loss: 32.2161 - logcount_predictions_loss: 0.9396 33/257 [==>...........................] - ETA: 1:13 - loss: 33.0975 - logits_profile_predictions_loss: 32.1587 - logcount_predictions_loss: 0.9388 34/257 [==>...........................] - ETA: 1:13 - loss: 33.0777 - logits_profile_predictions_loss: 32.1374 - logcount_predictions_loss: 0.9403 35/257 [===>..........................] - ETA: 1:12 - loss: 33.1578 - logits_profile_predictions_loss: 32.2116 - logcount_predictions_loss: 0.9462 36/257 [===>..........................] - ETA: 1:12 - loss: 33.0499 - logits_profile_predictions_loss: 32.1101 - logcount_predictions_loss: 0.9397 37/257 [===>..........................] - ETA: 1:11 - loss: 33.0723 - logits_profile_predictions_loss: 32.1298 - logcount_predictions_loss: 0.9425 38/257 [===>..........................] - ETA: 1:11 - loss: 33.0694 - logits_profile_predictions_loss: 32.1275 - logcount_predictions_loss: 0.9419 39/257 [===>..........................] - ETA: 1:10 - loss: 33.0946 - logits_profile_predictions_loss: 32.1512 - logcount_predictions_loss: 0.9434 40/257 [===>..........................] - ETA: 1:10 - loss: 33.0447 - logits_profile_predictions_loss: 32.1033 - logcount_predictions_loss: 0.9414 41/257 [===>..........................] - ETA: 1:09 - loss: 32.9477 - logits_profile_predictions_loss: 32.0105 - logcount_predictions_loss: 0.9372 42/257 [===>..........................] - ETA: 1:09 - loss: 32.9496 - logits_profile_predictions_loss: 32.0119 - logcount_predictions_loss: 0.9377 43/257 [====>.........................] - ETA: 1:08 - loss: 32.8575 - logits_profile_predictions_loss: 31.9247 - logcount_predictions_loss: 0.9328 44/257 [====>.........................] - ETA: 1:08 - loss: 32.7800 - logits_profile_predictions_loss: 31.8526 - logcount_predictions_loss: 0.9274 45/257 [====>.........................] - ETA: 1:08 - loss: 32.7058 - logits_profile_predictions_loss: 31.7807 - logcount_predictions_loss: 0.9251 46/257 [====>.........................] - ETA: 1:07 - loss: 32.6267 - logits_profile_predictions_loss: 31.7051 - logcount_predictions_loss: 0.9216 47/257 [====>.........................] - ETA: 1:07 - loss: 32.6060 - logits_profile_predictions_loss: 31.6862 - logcount_predictions_loss: 0.9198 48/257 [====>.........................] - ETA: 1:06 - loss: 32.6250 - logits_profile_predictions_loss: 31.7037 - logcount_predictions_loss: 0.9213 49/257 [====>.........................] - ETA: 1:06 - loss: 32.5084 - logits_profile_predictions_loss: 31.5936 - logcount_predictions_loss: 0.9149 50/257 [====>.........................] - ETA: 1:06 - loss: 32.4049 - logits_profile_predictions_loss: 31.4957 - logcount_predictions_loss: 0.9092 51/257 [====>.........................] - ETA: 1:05 - loss: 32.4116 - logits_profile_predictions_loss: 31.5024 - logcount_predictions_loss: 0.9092 52/257 [=====>........................] - ETA: 1:05 - loss: 32.4357 - logits_profile_predictions_loss: 31.5254 - logcount_predictions_loss: 0.9102 53/257 [=====>........................] - ETA: 1:04 - loss: 32.3903 - logits_profile_predictions_loss: 31.4824 - logcount_predictions_loss: 0.9078 54/257 [=====>........................] - ETA: 1:04 - loss: 32.3029 - logits_profile_predictions_loss: 31.3993 - logcount_predictions_loss: 0.9035 55/257 [=====>........................] - ETA: 1:04 - loss: 32.2823 - logits_profile_predictions_loss: 31.3790 - logcount_predictions_loss: 0.9033 56/257 [=====>........................] - ETA: 1:03 - loss: 32.2805 - logits_profile_predictions_loss: 31.3777 - logcount_predictions_loss: 0.9028 57/257 [=====>........................] - ETA: 1:03 - loss: 32.3212 - logits_profile_predictions_loss: 31.4145 - logcount_predictions_loss: 0.9067 58/257 [=====>........................] - ETA: 1:02 - loss: 32.3321 - logits_profile_predictions_loss: 31.4247 - logcount_predictions_loss: 0.9074 59/257 [=====>........................] - ETA: 1:02 - loss: 32.2517 - logits_profile_predictions_loss: 31.3485 - logcount_predictions_loss: 0.9032 60/257 [======>.......................] - ETA: 1:02 - loss: 32.2351 - logits_profile_predictions_loss: 31.3335 - logcount_predictions_loss: 0.9016 61/257 [======>.......................] - ETA: 1:01 - loss: 32.1741 - logits_profile_predictions_loss: 31.2761 - logcount_predictions_loss: 0.8980 62/257 [======>.......................] - ETA: 1:01 - loss: 32.2129 - logits_profile_predictions_loss: 31.3139 - logcount_predictions_loss: 0.8989 63/257 [======>.......................] - ETA: 1:01 - loss: 32.2054 - logits_profile_predictions_loss: 31.3063 - logcount_predictions_loss: 0.8992 64/257 [======>.......................] - ETA: 1:00 - loss: 32.1914 - logits_profile_predictions_loss: 31.2910 - logcount_predictions_loss: 0.9003 65/257 [======>.......................] - ETA: 1:00 - loss: 32.1596 - logits_profile_predictions_loss: 31.2611 - logcount_predictions_loss: 0.8985 66/257 [======>.......................] - ETA: 1:00 - loss: 32.1782 - logits_profile_predictions_loss: 31.2779 - logcount_predictions_loss: 0.9003 67/257 [======>.......................] - ETA: 59s - loss: 32.1518 - logits_profile_predictions_loss: 31.2529 - logcount_predictions_loss: 0.8989  68/257 [======>.......................] - ETA: 59s - loss: 32.1868 - logits_profile_predictions_loss: 31.2872 - logcount_predictions_loss: 0.8995 69/257 [=======>......................] - ETA: 59s - loss: 32.2487 - logits_profile_predictions_loss: 31.3454 - logcount_predictions_loss: 0.9033 70/257 [=======>......................] - ETA: 58s - loss: 32.2183 - logits_profile_predictions_loss: 31.3174 - logcount_predictions_loss: 0.9009 71/257 [=======>......................] - ETA: 58s - loss: 32.1762 - logits_profile_predictions_loss: 31.2778 - logcount_predictions_loss: 0.8983 72/257 [=======>......................] - ETA: 58s - loss: 32.1567 - logits_profile_predictions_loss: 31.2591 - logcount_predictions_loss: 0.8976 73/257 [=======>......................] - ETA: 57s - loss: 32.1782 - logits_profile_predictions_loss: 31.2804 - logcount_predictions_loss: 0.8978 74/257 [=======>......................] - ETA: 57s - loss: 32.1173 - logits_profile_predictions_loss: 31.2229 - logcount_predictions_loss: 0.8944 75/257 [=======>......................] - ETA: 57s - loss: 32.0501 - logits_profile_predictions_loss: 31.1593 - logcount_predictions_loss: 0.8908 76/257 [=======>......................] - ETA: 56s - loss: 32.0626 - logits_profile_predictions_loss: 31.1713 - logcount_predictions_loss: 0.8912 77/257 [=======>......................] - ETA: 56s - loss: 32.0217 - logits_profile_predictions_loss: 31.1321 - logcount_predictions_loss: 0.8896 78/257 [========>.....................] - ETA: 56s - loss: 31.9944 - logits_profile_predictions_loss: 31.1050 - logcount_predictions_loss: 0.8894 79/257 [========>.....................] - ETA: 55s - loss: 32.0068 - logits_profile_predictions_loss: 31.1171 - logcount_predictions_loss: 0.8897 80/257 [========>.....................] - ETA: 55s - loss: 32.0118 - logits_profile_predictions_loss: 31.1214 - logcount_predictions_loss: 0.8903 81/257 [========>.....................] - ETA: 55s - loss: 32.0318 - logits_profile_predictions_loss: 31.1415 - logcount_predictions_loss: 0.8903 82/257 [========>.....................] - ETA: 54s - loss: 31.9793 - logits_profile_predictions_loss: 31.0928 - logcount_predictions_loss: 0.8866 83/257 [========>.....................] - ETA: 54s - loss: 31.9396 - logits_profile_predictions_loss: 31.0562 - logcount_predictions_loss: 0.8834 84/257 [========>.....................] - ETA: 54s - loss: 31.9290 - logits_profile_predictions_loss: 31.0471 - logcount_predictions_loss: 0.8819 85/257 [========>.....................] - ETA: 53s - loss: 31.9065 - logits_profile_predictions_loss: 31.0266 - logcount_predictions_loss: 0.8799 86/257 [=========>....................] - ETA: 53s - loss: 31.8742 - logits_profile_predictions_loss: 30.9955 - logcount_predictions_loss: 0.8786 87/257 [=========>....................] - ETA: 53s - loss: 31.8904 - logits_profile_predictions_loss: 31.0123 - logcount_predictions_loss: 0.8781 88/257 [=========>....................] - ETA: 52s - loss: 31.8412 - logits_profile_predictions_loss: 30.9662 - logcount_predictions_loss: 0.8749 89/257 [=========>....................] - ETA: 52s - loss: 31.8463 - logits_profile_predictions_loss: 30.9720 - logcount_predictions_loss: 0.8743 90/257 [=========>....................] - ETA: 52s - loss: 31.8185 - logits_profile_predictions_loss: 30.9464 - logcount_predictions_loss: 0.8721 91/257 [=========>....................] - ETA: 51s - loss: 31.8195 - logits_profile_predictions_loss: 30.9477 - logcount_predictions_loss: 0.8718 92/257 [=========>....................] - ETA: 51s - loss: 31.7862 - logits_profile_predictions_loss: 30.9179 - logcount_predictions_loss: 0.8683 93/257 [=========>....................] - ETA: 51s - loss: 31.7299 - logits_profile_predictions_loss: 30.8650 - logcount_predictions_loss: 0.8649 94/257 [=========>....................] - ETA: 50s - loss: 31.7204 - logits_profile_predictions_loss: 30.8571 - logcount_predictions_loss: 0.8633 95/257 [==========>...................] - ETA: 50s - loss: 31.6901 - logits_profile_predictions_loss: 30.8291 - logcount_predictions_loss: 0.8610 96/257 [==========>...................] - ETA: 50s - loss: 31.6674 - logits_profile_predictions_loss: 30.8088 - logcount_predictions_loss: 0.8586 97/257 [==========>...................] - ETA: 49s - loss: 31.6453 - logits_profile_predictions_loss: 30.7896 - logcount_predictions_loss: 0.8557 98/257 [==========>...................] - ETA: 49s - loss: 31.6449 - logits_profile_predictions_loss: 30.7925 - logcount_predictions_loss: 0.8524 99/257 [==========>...................] - ETA: 49s - loss: 31.6567 - logits_profile_predictions_loss: 30.8066 - logcount_predictions_loss: 0.8501 100/257 [==========>...................] - ETA: 48s - loss: 31.6369 - logits_profile_predictions_loss: 30.7905 - logcount_predictions_loss: 0.8464 101/257 [==========>...................] - ETA: 48s - loss: 31.6112 - logits_profile_predictions_loss: 30.7694 - logcount_predictions_loss: 0.8418 102/257 [==========>...................] - ETA: 48s - loss: 31.6299 - logits_profile_predictions_loss: 30.7914 - logcount_predictions_loss: 0.8385 103/257 [===========>..................] - ETA: 47s - loss: 31.6316 - logits_profile_predictions_loss: 30.7974 - logcount_predictions_loss: 0.8342 104/257 [===========>..................] - ETA: 47s - loss: 31.6324 - logits_profile_predictions_loss: 30.8032 - logcount_predictions_loss: 0.8291 105/257 [===========>..................] - ETA: 47s - loss: 31.6500 - logits_profile_predictions_loss: 30.8245 - logcount_predictions_loss: 0.8255 106/257 [===========>..................] - ETA: 46s - loss: 31.6328 - logits_profile_predictions_loss: 30.8117 - logcount_predictions_loss: 0.8210 107/257 [===========>..................] - ETA: 46s - loss: 31.6549 - logits_profile_predictions_loss: 30.8386 - logcount_predictions_loss: 0.8163 108/257 [===========>..................] - ETA: 46s - loss: 31.6656 - logits_profile_predictions_loss: 30.8529 - logcount_predictions_loss: 0.8127 109/257 [===========>..................] - ETA: 45s - loss: 31.6320 - logits_profile_predictions_loss: 30.8235 - logcount_predictions_loss: 0.8084 110/257 [===========>..................] - ETA: 45s - loss: 31.6281 - logits_profile_predictions_loss: 30.8243 - logcount_predictions_loss: 0.8038 111/257 [===========>..................] - ETA: 45s - loss: 31.6147 - logits_profile_predictions_loss: 30.8152 - logcount_predictions_loss: 0.7994 112/257 [============>.................] - ETA: 44s - loss: 31.6357 - logits_profile_predictions_loss: 30.8393 - logcount_predictions_loss: 0.7963 113/257 [============>.................] - ETA: 44s - loss: 31.6268 - logits_profile_predictions_loss: 30.8345 - logcount_predictions_loss: 0.7923 114/257 [============>.................] - ETA: 44s - loss: 31.6387 - logits_profile_predictions_loss: 30.8496 - logcount_predictions_loss: 0.7891 115/257 [============>.................] - ETA: 44s - loss: 31.6495 - logits_profile_predictions_loss: 30.8632 - logcount_predictions_loss: 0.7863 116/257 [============>.................] - ETA: 43s - loss: 31.6222 - logits_profile_predictions_loss: 30.8399 - logcount_predictions_loss: 0.7823 117/257 [============>.................] - ETA: 43s - loss: 31.5924 - logits_profile_predictions_loss: 30.8141 - logcount_predictions_loss: 0.7783 118/257 [============>.................] - ETA: 43s - loss: 31.6095 - logits_profile_predictions_loss: 30.8338 - logcount_predictions_loss: 0.7758 119/257 [============>.................] - ETA: 42s - loss: 31.5976 - logits_profile_predictions_loss: 30.8255 - logcount_predictions_loss: 0.7721 120/257 [=============>................] - ETA: 42s - loss: 31.5870 - logits_profile_predictions_loss: 30.8182 - logcount_predictions_loss: 0.7687 121/257 [=============>................] - ETA: 42s - loss: 31.5625 - logits_profile_predictions_loss: 30.7975 - logcount_predictions_loss: 0.7650 122/257 [=============>................] - ETA: 41s - loss: 31.5301 - logits_profile_predictions_loss: 30.7691 - logcount_predictions_loss: 0.7610 123/257 [=============>................] - ETA: 41s - loss: 31.5109 - logits_profile_predictions_loss: 30.7540 - logcount_predictions_loss: 0.7569 124/257 [=============>................] - ETA: 41s - loss: 31.5017 - logits_profile_predictions_loss: 30.7480 - logcount_predictions_loss: 0.7537 125/257 [=============>................] - ETA: 40s - loss: 31.4881 - logits_profile_predictions_loss: 30.7381 - logcount_predictions_loss: 0.7499 126/257 [=============>................] 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[=======================>......] - ETA: 13s - loss: 31.2138 - logits_profile_predictions_loss: 30.6343 - logcount_predictions_loss: 0.5795 215/257 [========================>.....] - ETA: 13s - loss: 31.1953 - logits_profile_predictions_loss: 30.6172 - logcount_predictions_loss: 0.5781 216/257 [========================>.....] - ETA: 12s - loss: 31.1750 - logits_profile_predictions_loss: 30.5987 - logcount_predictions_loss: 0.5763 217/257 [========================>.....] - ETA: 12s - loss: 31.1770 - logits_profile_predictions_loss: 30.6015 - logcount_predictions_loss: 0.5755 218/257 [========================>.....] - ETA: 12s - loss: 31.1806 - logits_profile_predictions_loss: 30.6065 - logcount_predictions_loss: 0.5741 219/257 [========================>.....] - ETA: 11s - loss: 31.1712 - logits_profile_predictions_loss: 30.5985 - logcount_predictions_loss: 0.5727 220/257 [========================>.....] - ETA: 11s - loss: 31.1656 - logits_profile_predictions_loss: 30.5940 - 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[===========================>..] - ETA: 4s - loss: 31.1884 - logits_profile_predictions_loss: 30.6386 - logcount_predictions_loss: 0.5497 242/257 [===========================>..] - ETA: 4s - loss: 31.2050 - logits_profile_predictions_loss: 30.6557 - logcount_predictions_loss: 0.5492 243/257 [===========================>..] - ETA: 4s - loss: 31.1968 - logits_profile_predictions_loss: 30.6488 - logcount_predictions_loss: 0.5480 244/257 [===========================>..] - ETA: 4s - loss: 31.2082 - logits_profile_predictions_loss: 30.6614 - logcount_predictions_loss: 0.5468 245/257 [===========================>..] - ETA: 3s - loss: 31.2077 - logits_profile_predictions_loss: 30.6619 - logcount_predictions_loss: 0.5458 246/257 [===========================>..] - ETA: 3s - loss: 31.2009 - logits_profile_predictions_loss: 30.6557 - logcount_predictions_loss: 0.5452 247/257 [===========================>..] - ETA: 3s - loss: 31.2114 - logits_profile_predictions_loss: 30.6666 - logcount_predictions_loss: 0.5448 248/257 [===========================>..] - ETA: 2s - loss: 31.2129 - logits_profile_predictions_loss: 30.6688 - logcount_predictions_loss: 0.5441 249/257 [============================>.] - ETA: 2s - loss: 31.2222 - logits_profile_predictions_loss: 30.6787 - logcount_predictions_loss: 0.5435 250/257 [============================>.] - ETA: 2s - loss: 31.2223 - logits_profile_predictions_loss: 30.6795 - logcount_predictions_loss: 0.5428 251/257 [============================>.] - ETA: 1s - loss: 31.2280 - logits_profile_predictions_loss: 30.6857 - logcount_predictions_loss: 0.5423 252/257 [============================>.] - ETA: 1s - loss: 31.2197 - logits_profile_predictions_loss: 30.6785 - logcount_predictions_loss: 0.5412 253/257 [============================>.] - ETA: 1s - loss: 31.2236 - logits_profile_predictions_loss: 30.6833 - logcount_predictions_loss: 0.5403 254/257 [============================>.] - ETA: 0s - loss: 31.2187 - logits_profile_predictions_loss: 30.6796 - logcount_predictions_loss: 0.5391 255/257 [============================>.] - ETA: 0s - loss: 31.2098 - logits_profile_predictions_loss: 30.6716 - logcount_predictions_loss: 0.5382 256/257 [============================>.] - ETA: 0s - loss: 31.2119 - logits_profile_predictions_loss: 30.6745 - logcount_predictions_loss: 0.5374 257/257 [==============================] - ETA: 0s - loss: 31.2091 - logits_profile_predictions_loss: 30.6729 - logcount_predictions_loss: 0.5362 Epoch 1: val_loss improved from inf to 31.93861, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/chrombpnet.h5  257/257 [==============================] - 90s 334ms/step - loss: 31.2091 - logits_profile_predictions_loss: 30.6729 - logcount_predictions_loss: 0.5362 - val_loss: 31.9386 - val_logits_profile_predictions_loss: 31.6625 - val_logcount_predictions_loss: 0.2761 Epoch 2/50 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[=====================>........] - ETA: 20s - loss: 30.4283 - logits_profile_predictions_loss: 30.1410 - logcount_predictions_loss: 0.2873 191/257 [=====================>........] - ETA: 20s - loss: 30.4021 - logits_profile_predictions_loss: 30.1152 - logcount_predictions_loss: 0.2869 192/257 [=====================>........] - ETA: 19s - loss: 30.4003 - logits_profile_predictions_loss: 30.1134 - logcount_predictions_loss: 0.2869 193/257 [=====================>........] - ETA: 19s - loss: 30.4119 - logits_profile_predictions_loss: 30.1249 - logcount_predictions_loss: 0.2870 194/257 [=====================>........] - ETA: 19s - loss: 30.4104 - logits_profile_predictions_loss: 30.1237 - logcount_predictions_loss: 0.2867 195/257 [=====================>........] - ETA: 18s - loss: 30.3958 - logits_profile_predictions_loss: 30.1090 - logcount_predictions_loss: 0.2867 196/257 [=====================>........] - ETA: 18s - loss: 30.3985 - logits_profile_predictions_loss: 30.1119 - 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- ETA: 14s - loss: 30.3298 - logits_profile_predictions_loss: 30.0456 - logcount_predictions_loss: 0.2842 211/257 [=======================>......] - ETA: 14s - loss: 30.3288 - logits_profile_predictions_loss: 30.0447 - logcount_predictions_loss: 0.2840 212/257 [=======================>......] - ETA: 13s - loss: 30.3370 - logits_profile_predictions_loss: 30.0530 - logcount_predictions_loss: 0.2840 213/257 [=======================>......] - ETA: 13s - loss: 30.3328 - logits_profile_predictions_loss: 30.0489 - logcount_predictions_loss: 0.2839 214/257 [=======================>......] - ETA: 13s - loss: 30.3218 - logits_profile_predictions_loss: 30.0383 - logcount_predictions_loss: 0.2835 215/257 [========================>.....] - ETA: 12s - loss: 30.3280 - logits_profile_predictions_loss: 30.0446 - logcount_predictions_loss: 0.2833 216/257 [========================>.....] - ETA: 12s - loss: 30.3443 - logits_profile_predictions_loss: 30.0611 - logcount_predictions_loss: 0.2832 217/257 [========================>.....] - ETA: 12s - loss: 30.3512 - logits_profile_predictions_loss: 30.0681 - logcount_predictions_loss: 0.2831 218/257 [========================>.....] - ETA: 11s - loss: 30.3371 - logits_profile_predictions_loss: 30.0542 - logcount_predictions_loss: 0.2829 219/257 [========================>.....] - ETA: 11s - loss: 30.3408 - logits_profile_predictions_loss: 30.0581 - logcount_predictions_loss: 0.2827 220/257 [========================>.....] - ETA: 11s - loss: 30.3432 - logits_profile_predictions_loss: 30.0603 - logcount_predictions_loss: 0.2828 221/257 [========================>.....] - ETA: 10s - loss: 30.3399 - logits_profile_predictions_loss: 30.0571 - logcount_predictions_loss: 0.2828 222/257 [========================>.....] - ETA: 10s - loss: 30.3423 - logits_profile_predictions_loss: 30.0592 - logcount_predictions_loss: 0.2830 223/257 [=========================>....] - ETA: 10s - loss: 30.3314 - logits_profile_predictions_loss: 30.0487 - 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[===========================>..] - ETA: 3s - loss: 30.3443 - logits_profile_predictions_loss: 30.0632 - logcount_predictions_loss: 0.2811 245/257 [===========================>..] - ETA: 3s - loss: 30.3425 - logits_profile_predictions_loss: 30.0616 - logcount_predictions_loss: 0.2808 246/257 [===========================>..] - ETA: 3s - loss: 30.3372 - logits_profile_predictions_loss: 30.0562 - logcount_predictions_loss: 0.2809 247/257 [===========================>..] - ETA: 3s - loss: 30.3463 - logits_profile_predictions_loss: 30.0651 - logcount_predictions_loss: 0.2811 248/257 [===========================>..] - ETA: 2s - loss: 30.3311 - logits_profile_predictions_loss: 30.0504 - logcount_predictions_loss: 0.2806 249/257 [============================>.] - ETA: 2s - loss: 30.3366 - logits_profile_predictions_loss: 30.0563 - logcount_predictions_loss: 0.2802 250/257 [============================>.] - ETA: 2s - loss: 30.3361 - logits_profile_predictions_loss: 30.0559 - logcount_predictions_loss: 0.2803 251/257 [============================>.] - ETA: 1s - loss: 30.3328 - logits_profile_predictions_loss: 30.0527 - logcount_predictions_loss: 0.2800 252/257 [============================>.] - ETA: 1s - loss: 30.3579 - logits_profile_predictions_loss: 30.0777 - logcount_predictions_loss: 0.2802 253/257 [============================>.] - ETA: 1s - loss: 30.3605 - logits_profile_predictions_loss: 30.0804 - logcount_predictions_loss: 0.2801 254/257 [============================>.] - ETA: 0s - loss: 30.3648 - logits_profile_predictions_loss: 30.0844 - logcount_predictions_loss: 0.2804 255/257 [============================>.] - ETA: 0s - loss: 30.3700 - logits_profile_predictions_loss: 30.0897 - logcount_predictions_loss: 0.2803 256/257 [============================>.] - ETA: 0s - loss: 30.3759 - logits_profile_predictions_loss: 30.0956 - logcount_predictions_loss: 0.2803 257/257 [==============================] - ETA: 0s - loss: 30.3643 - logits_profile_predictions_loss: 30.0843 - logcount_predictions_loss: 0.2800 Epoch 2: val_loss improved from 31.93861 to 31.88565, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/chrombpnet.h5  257/257 [==============================] - 84s 329ms/step - loss: 30.3643 - logits_profile_predictions_loss: 30.0843 - logcount_predictions_loss: 0.2800 - val_loss: 31.8857 - val_logits_profile_predictions_loss: 31.6016 - val_logcount_predictions_loss: 0.2840 Epoch 3/50 1/257 [..............................] - ETA: 1:19 - loss: 29.7087 - logits_profile_predictions_loss: 29.4415 - logcount_predictions_loss: 0.2672 2/257 [..............................] - ETA: 1:15 - loss: 28.6993 - logits_profile_predictions_loss: 28.4541 - logcount_predictions_loss: 0.2452 3/257 [..............................] - ETA: 1:15 - loss: 27.3908 - logits_profile_predictions_loss: 27.1652 - logcount_predictions_loss: 0.2257 4/257 [..............................] - ETA: 1:14 - loss: 28.7306 - logits_profile_predictions_loss: 28.4963 - logcount_predictions_loss: 0.2343 5/257 [..............................] - ETA: 1:14 - loss: 28.4342 - logits_profile_predictions_loss: 28.1785 - logcount_predictions_loss: 0.2556 6/257 [..............................] - ETA: 1:14 - loss: 28.4832 - logits_profile_predictions_loss: 28.2167 - logcount_predictions_loss: 0.2665 7/257 [..............................] - ETA: 1:14 - loss: 28.6006 - logits_profile_predictions_loss: 28.3402 - logcount_predictions_loss: 0.2604 8/257 [..............................] - ETA: 1:13 - loss: 28.2274 - logits_profile_predictions_loss: 27.9701 - logcount_predictions_loss: 0.2573 9/257 [>.............................] - ETA: 1:13 - loss: 28.2465 - logits_profile_predictions_loss: 27.9920 - logcount_predictions_loss: 0.2545 10/257 [>.............................] - ETA: 1:13 - loss: 28.3359 - logits_profile_predictions_loss: 28.0749 - logcount_predictions_loss: 0.2610 11/257 [>.............................] - ETA: 1:13 - loss: 28.5067 - logits_profile_predictions_loss: 28.2409 - logcount_predictions_loss: 0.2658 12/257 [>.............................] - ETA: 1:12 - loss: 28.7105 - logits_profile_predictions_loss: 28.4432 - logcount_predictions_loss: 0.2673 13/257 [>.............................] - ETA: 1:12 - loss: 28.9052 - logits_profile_predictions_loss: 28.6344 - logcount_predictions_loss: 0.2708 14/257 [>.............................] - ETA: 1:12 - loss: 29.0106 - logits_profile_predictions_loss: 28.7409 - logcount_predictions_loss: 0.2696 15/257 [>.............................] - ETA: 1:11 - loss: 29.0868 - logits_profile_predictions_loss: 28.8173 - logcount_predictions_loss: 0.2695 16/257 [>.............................] - ETA: 1:11 - loss: 29.2824 - logits_profile_predictions_loss: 29.0201 - logcount_predictions_loss: 0.2623 17/257 [>.............................] - ETA: 1:11 - loss: 29.3874 - logits_profile_predictions_loss: 29.1296 - logcount_predictions_loss: 0.2578 18/257 [=>............................] - ETA: 1:11 - loss: 29.5832 - logits_profile_predictions_loss: 29.3261 - logcount_predictions_loss: 0.2571 19/257 [=>............................] - ETA: 1:10 - loss: 29.5933 - logits_profile_predictions_loss: 29.3364 - logcount_predictions_loss: 0.2569 20/257 [=>............................] - ETA: 1:10 - loss: 29.7930 - logits_profile_predictions_loss: 29.5335 - logcount_predictions_loss: 0.2595 21/257 [=>............................] - ETA: 1:10 - loss: 29.7303 - logits_profile_predictions_loss: 29.4721 - logcount_predictions_loss: 0.2582 22/257 [=>............................] - ETA: 1:09 - loss: 29.7400 - logits_profile_predictions_loss: 29.4800 - logcount_predictions_loss: 0.2600 23/257 [=>............................] - ETA: 1:09 - loss: 29.7571 - logits_profile_predictions_loss: 29.4968 - logcount_predictions_loss: 0.2603 24/257 [=>............................] - ETA: 1:09 - loss: 29.5940 - logits_profile_predictions_loss: 29.3340 - logcount_predictions_loss: 0.2599 25/257 [=>............................] - ETA: 1:08 - loss: 29.5797 - logits_profile_predictions_loss: 29.3183 - logcount_predictions_loss: 0.2614 26/257 [==>...........................] - ETA: 1:08 - loss: 29.5136 - logits_profile_predictions_loss: 29.2543 - logcount_predictions_loss: 0.2593 27/257 [==>...........................] - ETA: 1:08 - loss: 29.4544 - logits_profile_predictions_loss: 29.1929 - logcount_predictions_loss: 0.2614 28/257 [==>...........................] - ETA: 1:08 - loss: 29.4555 - logits_profile_predictions_loss: 29.1944 - logcount_predictions_loss: 0.2611 29/257 [==>...........................] - ETA: 1:07 - loss: 29.4807 - logits_profile_predictions_loss: 29.2194 - logcount_predictions_loss: 0.2612 30/257 [==>...........................] - ETA: 1:07 - loss: 29.5877 - logits_profile_predictions_loss: 29.3290 - logcount_predictions_loss: 0.2587 31/257 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[=====================>........] - ETA: 19s - loss: 30.1517 - logits_profile_predictions_loss: 29.8963 - logcount_predictions_loss: 0.2553 194/257 [=====================>........] - ETA: 19s - loss: 30.1748 - logits_profile_predictions_loss: 29.9195 - logcount_predictions_loss: 0.2553 195/257 [=====================>........] - ETA: 18s - loss: 30.1658 - logits_profile_predictions_loss: 29.9108 - logcount_predictions_loss: 0.2550 196/257 [=====================>........] - ETA: 18s - loss: 30.1511 - logits_profile_predictions_loss: 29.8963 - logcount_predictions_loss: 0.2548 197/257 [=====================>........] - ETA: 18s - loss: 30.1579 - logits_profile_predictions_loss: 29.9031 - logcount_predictions_loss: 0.2547 198/257 [======================>.......] - ETA: 17s - loss: 30.1547 - logits_profile_predictions_loss: 29.9001 - logcount_predictions_loss: 0.2546 199/257 [======================>.......] - ETA: 17s - loss: 30.1647 - logits_profile_predictions_loss: 29.9099 - 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- ETA: 13s - loss: 30.1377 - logits_profile_predictions_loss: 29.8834 - logcount_predictions_loss: 0.2543 214/257 [=======================>......] - ETA: 13s - loss: 30.1545 - logits_profile_predictions_loss: 29.8997 - logcount_predictions_loss: 0.2548 215/257 [========================>.....] - ETA: 12s - loss: 30.1697 - logits_profile_predictions_loss: 29.9144 - logcount_predictions_loss: 0.2553 216/257 [========================>.....] - ETA: 12s - loss: 30.1572 - logits_profile_predictions_loss: 29.9023 - logcount_predictions_loss: 0.2549 217/257 [========================>.....] - ETA: 12s - loss: 30.1485 - logits_profile_predictions_loss: 29.8940 - logcount_predictions_loss: 0.2545 218/257 [========================>.....] - ETA: 11s - loss: 30.1453 - logits_profile_predictions_loss: 29.8906 - logcount_predictions_loss: 0.2547 219/257 [========================>.....] - ETA: 11s - loss: 30.1295 - logits_profile_predictions_loss: 29.8744 - logcount_predictions_loss: 0.2551 220/257 [========================>.....] - ETA: 11s - loss: 30.1209 - logits_profile_predictions_loss: 29.8662 - logcount_predictions_loss: 0.2547 221/257 [========================>.....] - ETA: 10s - loss: 30.1241 - logits_profile_predictions_loss: 29.8693 - logcount_predictions_loss: 0.2548 222/257 [========================>.....] - ETA: 10s - loss: 30.1281 - logits_profile_predictions_loss: 29.8733 - logcount_predictions_loss: 0.2548 223/257 [=========================>....] - ETA: 10s - loss: 30.1440 - logits_profile_predictions_loss: 29.8887 - logcount_predictions_loss: 0.2553 224/257 [=========================>....] - ETA: 10s - loss: 30.1364 - logits_profile_predictions_loss: 29.8812 - logcount_predictions_loss: 0.2552 225/257 [=========================>....] - ETA: 9s - loss: 30.1596 - logits_profile_predictions_loss: 29.9047 - logcount_predictions_loss: 0.2549  226/257 [=========================>....] - ETA: 9s - loss: 30.1609 - logits_profile_predictions_loss: 29.9062 - 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[===========================>..] - ETA: 3s - loss: 30.1457 - logits_profile_predictions_loss: 29.8904 - logcount_predictions_loss: 0.2553 248/257 [===========================>..] - ETA: 2s - loss: 30.1411 - logits_profile_predictions_loss: 29.8850 - logcount_predictions_loss: 0.2561 249/257 [============================>.] - ETA: 2s - loss: 30.1320 - logits_profile_predictions_loss: 29.8761 - logcount_predictions_loss: 0.2559 250/257 [============================>.] - ETA: 2s - loss: 30.1312 - logits_profile_predictions_loss: 29.8752 - logcount_predictions_loss: 0.2560 251/257 [============================>.] - ETA: 1s - loss: 30.1334 - logits_profile_predictions_loss: 29.8773 - logcount_predictions_loss: 0.2561 252/257 [============================>.] - ETA: 1s - loss: 30.1486 - logits_profile_predictions_loss: 29.8919 - logcount_predictions_loss: 0.2567 253/257 [============================>.] - ETA: 1s - loss: 30.1470 - logits_profile_predictions_loss: 29.8904 - logcount_predictions_loss: 0.2566 254/257 [============================>.] - ETA: 0s - loss: 30.1645 - logits_profile_predictions_loss: 29.9076 - logcount_predictions_loss: 0.2569 255/257 [============================>.] - ETA: 0s - loss: 30.1540 - logits_profile_predictions_loss: 29.8969 - logcount_predictions_loss: 0.2571 256/257 [============================>.] - ETA: 0s - loss: 30.1522 - logits_profile_predictions_loss: 29.8953 - logcount_predictions_loss: 0.2569 257/257 [==============================] - ETA: 0s - loss: 30.1689 - logits_profile_predictions_loss: 29.9122 - logcount_predictions_loss: 0.2567 Epoch 3: val_loss improved from 31.88565 to 31.76452, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/chrombpnet.h5  257/257 [==============================] - 84s 328ms/step - loss: 30.1689 - logits_profile_predictions_loss: 29.9122 - logcount_predictions_loss: 0.2567 - val_loss: 31.7645 - val_logits_profile_predictions_loss: 31.5357 - val_logcount_predictions_loss: 0.2288 Epoch 4/50 1/257 [..............................] - ETA: 1:19 - loss: 26.3860 - logits_profile_predictions_loss: 26.1168 - logcount_predictions_loss: 0.2692 2/257 [..............................] - ETA: 1:15 - loss: 25.9747 - logits_profile_predictions_loss: 25.6956 - logcount_predictions_loss: 0.2791 3/257 [..............................] - ETA: 1:15 - loss: 27.5097 - logits_profile_predictions_loss: 27.2467 - logcount_predictions_loss: 0.2629 4/257 [..............................] - ETA: 1:14 - loss: 27.9662 - logits_profile_predictions_loss: 27.6998 - logcount_predictions_loss: 0.2664 5/257 [..............................] - ETA: 1:14 - loss: 28.3972 - logits_profile_predictions_loss: 28.1484 - logcount_predictions_loss: 0.2488 6/257 [..............................] - ETA: 1:14 - loss: 28.9113 - logits_profile_predictions_loss: 28.6675 - logcount_predictions_loss: 0.2438 7/257 [..............................] - ETA: 1:14 - loss: 28.7094 - logits_profile_predictions_loss: 28.4699 - logcount_predictions_loss: 0.2394 8/257 [..............................] - ETA: 1:13 - loss: 28.6434 - logits_profile_predictions_loss: 28.4058 - logcount_predictions_loss: 0.2376 9/257 [>.............................] - ETA: 1:13 - loss: 28.4721 - logits_profile_predictions_loss: 28.2381 - logcount_predictions_loss: 0.2340 10/257 [>.............................] - ETA: 1:13 - loss: 28.7056 - logits_profile_predictions_loss: 28.4629 - logcount_predictions_loss: 0.2427 11/257 [>.............................] - ETA: 1:13 - loss: 29.4735 - logits_profile_predictions_loss: 29.2176 - logcount_predictions_loss: 0.2559 12/257 [>.............................] - ETA: 1:12 - loss: 29.7037 - logits_profile_predictions_loss: 29.4457 - logcount_predictions_loss: 0.2581 13/257 [>.............................] - ETA: 1:12 - loss: 29.7457 - logits_profile_predictions_loss: 29.4891 - 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[==>...........................] - ETA: 1:06 - loss: 30.0300 - logits_profile_predictions_loss: 29.7722 - logcount_predictions_loss: 0.2578 35/257 [===>..........................] - ETA: 1:06 - loss: 30.0609 - logits_profile_predictions_loss: 29.8035 - logcount_predictions_loss: 0.2574 36/257 [===>..........................] - ETA: 1:05 - loss: 30.0679 - logits_profile_predictions_loss: 29.8097 - logcount_predictions_loss: 0.2582 37/257 [===>..........................] - ETA: 1:05 - loss: 30.0427 - logits_profile_predictions_loss: 29.7842 - logcount_predictions_loss: 0.2586 38/257 [===>..........................] - ETA: 1:05 - loss: 30.1459 - logits_profile_predictions_loss: 29.8876 - logcount_predictions_loss: 0.2583 39/257 [===>..........................] - ETA: 1:05 - loss: 30.1451 - logits_profile_predictions_loss: 29.8872 - logcount_predictions_loss: 0.2580 40/257 [===>..........................] - ETA: 1:04 - loss: 30.0655 - logits_profile_predictions_loss: 29.8051 - 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[======>.......................] - ETA: 58s - loss: 29.9905 - logits_profile_predictions_loss: 29.7315 - logcount_predictions_loss: 0.2590 62/257 [======>.......................] - ETA: 58s - loss: 29.9585 - logits_profile_predictions_loss: 29.6992 - logcount_predictions_loss: 0.2592 63/257 [======>.......................] - ETA: 58s - loss: 29.8721 - logits_profile_predictions_loss: 29.6138 - logcount_predictions_loss: 0.2583 64/257 [======>.......................] - ETA: 57s - loss: 29.9223 - logits_profile_predictions_loss: 29.6634 - logcount_predictions_loss: 0.2589 65/257 [======>.......................] - ETA: 57s - loss: 29.9090 - logits_profile_predictions_loss: 29.6501 - logcount_predictions_loss: 0.2590 66/257 [======>.......................] - ETA: 57s - loss: 29.9325 - logits_profile_predictions_loss: 29.6742 - logcount_predictions_loss: 0.2584 67/257 [======>.......................] - ETA: 56s - loss: 29.9251 - logits_profile_predictions_loss: 29.6673 - 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[============================>.] - ETA: 2s - loss: 30.0765 - logits_profile_predictions_loss: 29.8288 - logcount_predictions_loss: 0.2476 251/257 [============================>.] - ETA: 1s - loss: 30.0660 - logits_profile_predictions_loss: 29.8185 - logcount_predictions_loss: 0.2474 252/257 [============================>.] - ETA: 1s - loss: 30.0619 - logits_profile_predictions_loss: 29.8139 - logcount_predictions_loss: 0.2480 253/257 [============================>.] - ETA: 1s - loss: 30.0662 - logits_profile_predictions_loss: 29.8180 - logcount_predictions_loss: 0.2482 254/257 [============================>.] - ETA: 0s - loss: 30.0537 - logits_profile_predictions_loss: 29.8058 - logcount_predictions_loss: 0.2480 255/257 [============================>.] - ETA: 0s - loss: 30.0581 - logits_profile_predictions_loss: 29.8101 - logcount_predictions_loss: 0.2480 256/257 [============================>.] - ETA: 0s - loss: 30.0708 - logits_profile_predictions_loss: 29.8228 - logcount_predictions_loss: 0.2479 257/257 [==============================] - ETA: 0s - loss: 30.0702 - logits_profile_predictions_loss: 29.8224 - logcount_predictions_loss: 0.2478 Epoch 4: val_loss improved from 31.76452 to 31.74127, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/chrombpnet.h5  257/257 [==============================] - 84s 328ms/step - loss: 30.0702 - logits_profile_predictions_loss: 29.8224 - logcount_predictions_loss: 0.2478 - val_loss: 31.7413 - val_logits_profile_predictions_loss: 31.4825 - val_logcount_predictions_loss: 0.2588 Epoch 5/50 1/257 [..............................] - ETA: 1:18 - loss: 29.0097 - logits_profile_predictions_loss: 28.6873 - logcount_predictions_loss: 0.3224 2/257 [..............................] - ETA: 1:15 - loss: 28.4473 - logits_profile_predictions_loss: 28.1761 - logcount_predictions_loss: 0.2713 3/257 [..............................] - ETA: 1:15 - loss: 28.4719 - logits_profile_predictions_loss: 28.2306 - logcount_predictions_loss: 0.2413 4/257 [..............................] - ETA: 1:15 - loss: 28.5374 - logits_profile_predictions_loss: 28.3089 - logcount_predictions_loss: 0.2284 5/257 [..............................] - ETA: 1:14 - loss: 28.9849 - logits_profile_predictions_loss: 28.7484 - logcount_predictions_loss: 0.2365 6/257 [..............................] - ETA: 1:14 - loss: 29.0091 - logits_profile_predictions_loss: 28.7631 - logcount_predictions_loss: 0.2460 7/257 [..............................] - ETA: 1:14 - loss: 28.7765 - logits_profile_predictions_loss: 28.5392 - logcount_predictions_loss: 0.2372 8/257 [..............................] - ETA: 1:13 - loss: 28.8450 - logits_profile_predictions_loss: 28.6064 - logcount_predictions_loss: 0.2387 9/257 [>.............................] - ETA: 1:13 - loss: 29.0290 - logits_profile_predictions_loss: 28.7882 - 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[==>...........................] - ETA: 1:07 - loss: 29.5432 - logits_profile_predictions_loss: 29.3070 - logcount_predictions_loss: 0.2362 31/257 [==>...........................] - ETA: 1:07 - loss: 29.3584 - logits_profile_predictions_loss: 29.1241 - logcount_predictions_loss: 0.2343 32/257 [==>...........................] - ETA: 1:07 - loss: 29.4032 - logits_profile_predictions_loss: 29.1690 - logcount_predictions_loss: 0.2342 33/257 [==>...........................] - ETA: 1:06 - loss: 29.3581 - logits_profile_predictions_loss: 29.1238 - logcount_predictions_loss: 0.2343 34/257 [==>...........................] - ETA: 1:06 - loss: 29.5038 - logits_profile_predictions_loss: 29.2696 - logcount_predictions_loss: 0.2342 35/257 [===>..........................] - ETA: 1:06 - loss: 29.4818 - logits_profile_predictions_loss: 29.2479 - logcount_predictions_loss: 0.2339 36/257 [===>..........................] - ETA: 1:05 - loss: 29.4577 - logits_profile_predictions_loss: 29.2253 - 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[=====>........................] - ETA: 59s - loss: 29.7976 - logits_profile_predictions_loss: 29.5471 - logcount_predictions_loss: 0.2506  58/257 [=====>........................] - ETA: 59s - loss: 29.7475 - logits_profile_predictions_loss: 29.4965 - logcount_predictions_loss: 0.2510 59/257 [=====>........................] - ETA: 59s - loss: 29.8094 - logits_profile_predictions_loss: 29.5575 - logcount_predictions_loss: 0.2519 60/257 [======>.......................] - ETA: 58s - loss: 29.7844 - logits_profile_predictions_loss: 29.5335 - logcount_predictions_loss: 0.2509 61/257 [======>.......................] - ETA: 58s - loss: 29.7132 - logits_profile_predictions_loss: 29.4632 - logcount_predictions_loss: 0.2501 62/257 [======>.......................] - ETA: 58s - loss: 29.7221 - logits_profile_predictions_loss: 29.4729 - logcount_predictions_loss: 0.2492 63/257 [======>.......................] - ETA: 58s - loss: 29.7376 - logits_profile_predictions_loss: 29.4878 - 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[========>.....................] - ETA: 51s - loss: 29.9074 - logits_profile_predictions_loss: 29.6661 - logcount_predictions_loss: 0.2413 85/257 [========>.....................] - ETA: 51s - loss: 29.8541 - logits_profile_predictions_loss: 29.6117 - logcount_predictions_loss: 0.2423 86/257 [=========>....................] - ETA: 51s - loss: 29.8502 - logits_profile_predictions_loss: 29.6079 - logcount_predictions_loss: 0.2422 87/257 [=========>....................] - ETA: 51s - loss: 29.8366 - logits_profile_predictions_loss: 29.5950 - logcount_predictions_loss: 0.2416 88/257 [=========>....................] - ETA: 50s - loss: 29.8704 - logits_profile_predictions_loss: 29.6279 - logcount_predictions_loss: 0.2426 89/257 [=========>....................] - ETA: 50s - loss: 29.8896 - logits_profile_predictions_loss: 29.6471 - logcount_predictions_loss: 0.2424 90/257 [=========>....................] - ETA: 50s - loss: 29.8749 - logits_profile_predictions_loss: 29.6324 - 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[===========================>..] - ETA: 3s - loss: 29.8615 - logits_profile_predictions_loss: 29.6243 - logcount_predictions_loss: 0.2372 247/257 [===========================>..] - ETA: 3s - loss: 29.8474 - logits_profile_predictions_loss: 29.6103 - logcount_predictions_loss: 0.2372 248/257 [===========================>..] - ETA: 2s - loss: 29.8489 - logits_profile_predictions_loss: 29.6114 - logcount_predictions_loss: 0.2374 249/257 [============================>.] - ETA: 2s - loss: 29.8655 - logits_profile_predictions_loss: 29.6279 - logcount_predictions_loss: 0.2376 250/257 [============================>.] - ETA: 2s - loss: 29.8629 - logits_profile_predictions_loss: 29.6255 - logcount_predictions_loss: 0.2375 251/257 [============================>.] - ETA: 1s - loss: 29.8737 - logits_profile_predictions_loss: 29.6364 - logcount_predictions_loss: 0.2373 252/257 [============================>.] - ETA: 1s - loss: 29.8693 - logits_profile_predictions_loss: 29.6318 - logcount_predictions_loss: 0.2375 253/257 [============================>.] - ETA: 1s - loss: 29.8665 - logits_profile_predictions_loss: 29.6286 - logcount_predictions_loss: 0.2380 254/257 [============================>.] - ETA: 0s - loss: 29.8767 - logits_profile_predictions_loss: 29.6388 - logcount_predictions_loss: 0.2379 255/257 [============================>.] - ETA: 0s - loss: 29.8857 - logits_profile_predictions_loss: 29.6479 - logcount_predictions_loss: 0.2378 256/257 [============================>.] - ETA: 0s - loss: 29.8963 - logits_profile_predictions_loss: 29.6586 - logcount_predictions_loss: 0.2377 257/257 [==============================] - ETA: 0s - loss: 29.9076 - logits_profile_predictions_loss: 29.6701 - logcount_predictions_loss: 0.2375 Epoch 5: val_loss improved from 31.74127 to 31.66853, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.I/fold_4/models/chrombpnet.h5  257/257 [==============================] - 84s 328ms/step - loss: 29.9076 - logits_profile_predictions_loss: 29.6701 - logcount_predictions_loss: 0.2375 - val_loss: 31.6685 - val_logits_profile_predictions_loss: 31.4645 - val_logcount_predictions_loss: 0.2040 Epoch 6/50 1/257 [..............................] - ETA: 1:19 - loss: 28.7063 - logits_profile_predictions_loss: 28.5358 - logcount_predictions_loss: 0.1705 2/257 [..............................] - ETA: 1:15 - loss: 26.0691 - logits_profile_predictions_loss: 25.8765 - logcount_predictions_loss: 0.1926 3/257 [..............................] - ETA: 1:15 - loss: 28.1058 - logits_profile_predictions_loss: 27.9070 - logcount_predictions_loss: 0.1988 4/257 [..............................] - ETA: 1:14 - loss: 28.6619 - logits_profile_predictions_loss: 28.4715 - logcount_predictions_loss: 0.1903 5/257 [..............................] - ETA: 1:14 - loss: 29.1109 - logits_profile_predictions_loss: 28.9037 - logcount_predictions_loss: 0.2072 6/257 [..............................] - ETA: 1:14 - loss: 30.0562 - logits_profile_predictions_loss: 29.8274 - logcount_predictions_loss: 0.2288 7/257 [..............................] - ETA: 1:14 - loss: 29.5863 - logits_profile_predictions_loss: 29.3483 - logcount_predictions_loss: 0.2380 8/257 [..............................] - ETA: 1:13 - loss: 29.2162 - logits_profile_predictions_loss: 28.9836 - logcount_predictions_loss: 0.2326 9/257 [>.............................] - ETA: 1:13 - loss: 29.6008 - logits_profile_predictions_loss: 29.3596 - logcount_predictions_loss: 0.2412 10/257 [>.............................] - ETA: 1:13 - loss: 29.3956 - logits_profile_predictions_loss: 29.1570 - logcount_predictions_loss: 0.2386 11/257 [>.............................] - ETA: 1:13 - loss: 29.4955 - logits_profile_predictions_loss: 29.2586 - logcount_predictions_loss: 0.2370 12/257 [>.............................] - ETA: 1:12 - loss: 29.5926 - logits_profile_predictions_loss: 29.3484 - 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[==>...........................] - ETA: 1:05 - loss: 29.5743 - logits_profile_predictions_loss: 29.3387 - logcount_predictions_loss: 0.2356 34/257 [==>...........................] - ETA: 1:05 - loss: 29.5760 - logits_profile_predictions_loss: 29.3416 - logcount_predictions_loss: 0.2344 35/257 [===>..........................] - ETA: 1:04 - loss: 29.6243 - logits_profile_predictions_loss: 29.3905 - logcount_predictions_loss: 0.2338 36/257 [===>..........................] - ETA: 1:04 - loss: 29.5938 - logits_profile_predictions_loss: 29.3601 - logcount_predictions_loss: 0.2337 37/257 [===>..........................] - ETA: 1:04 - loss: 29.6667 - logits_profile_predictions_loss: 29.4329 - logcount_predictions_loss: 0.2338 38/257 [===>..........................] - ETA: 1:04 - loss: 29.7743 - logits_profile_predictions_loss: 29.5403 - logcount_predictions_loss: 0.2340 39/257 [===>..........................] - ETA: 1:03 - loss: 29.7561 - logits_profile_predictions_loss: 29.5221 - 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[======>.......................] - ETA: 58s - loss: 29.8883 - logits_profile_predictions_loss: 29.6466 - logcount_predictions_loss: 0.2418 61/257 [======>.......................] - ETA: 57s - loss: 29.9066 - logits_profile_predictions_loss: 29.6660 - logcount_predictions_loss: 0.2406 62/257 [======>.......................] - ETA: 57s - loss: 29.8984 - logits_profile_predictions_loss: 29.6586 - logcount_predictions_loss: 0.2398 63/257 [======>.......................] - ETA: 57s - loss: 29.9033 - logits_profile_predictions_loss: 29.6643 - logcount_predictions_loss: 0.2390 64/257 [======>.......................] - ETA: 57s - loss: 29.8319 - logits_profile_predictions_loss: 29.5936 - logcount_predictions_loss: 0.2383 65/257 [======>.......................] - ETA: 56s - loss: 29.8143 - logits_profile_predictions_loss: 29.5762 - logcount_predictions_loss: 0.2381 66/257 [======>.......................] - ETA: 56s - loss: 29.7598 - logits_profile_predictions_loss: 29.5227 - 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[=========>....................] - ETA: 50s - loss: 29.6885 - logits_profile_predictions_loss: 29.4615 - logcount_predictions_loss: 0.2270 88/257 [=========>....................] - ETA: 50s - loss: 29.7162 - logits_profile_predictions_loss: 29.4893 - logcount_predictions_loss: 0.2268 89/257 [=========>....................] - ETA: 50s - loss: 29.7153 - logits_profile_predictions_loss: 29.4890 - logcount_predictions_loss: 0.2264 90/257 [=========>....................] - ETA: 49s - loss: 29.7132 - logits_profile_predictions_loss: 29.4868 - logcount_predictions_loss: 0.2264 91/257 [=========>....................] - ETA: 49s - loss: 29.7367 - logits_profile_predictions_loss: 29.5102 - logcount_predictions_loss: 0.2265 92/257 [=========>....................] - ETA: 49s - loss: 29.6999 - logits_profile_predictions_loss: 29.4739 - logcount_predictions_loss: 0.2261 93/257 [=========>....................] - ETA: 48s - loss: 29.6847 - logits_profile_predictions_loss: 29.4591 - 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[==================>...........] - ETA: 26s - loss: 29.6631 - logits_profile_predictions_loss: 29.4403 - logcount_predictions_loss: 0.2228 169/257 [==================>...........] - ETA: 26s - loss: 29.6712 - logits_profile_predictions_loss: 29.4485 - logcount_predictions_loss: 0.2227 170/257 [==================>...........] - ETA: 26s - loss: 29.6643 - logits_profile_predictions_loss: 29.4417 - logcount_predictions_loss: 0.2226 171/257 [==================>...........] - ETA: 25s - loss: 29.6549 - logits_profile_predictions_loss: 29.4322 - logcount_predictions_loss: 0.2227 172/257 [===================>..........] - ETA: 25s - loss: 29.6537 - logits_profile_predictions_loss: 29.4311 - logcount_predictions_loss: 0.2226 173/257 [===================>..........] - ETA: 25s - loss: 29.6489 - logits_profile_predictions_loss: 29.4265 - logcount_predictions_loss: 0.2224 174/257 [===================>..........] - ETA: 25s - loss: 29.6626 - logits_profile_predictions_loss: 29.4402 - 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- ETA: 20s - loss: 29.5928 - logits_profile_predictions_loss: 29.3691 - logcount_predictions_loss: 0.2237 189/257 [=====================>........] - ETA: 20s - loss: 29.6139 - logits_profile_predictions_loss: 29.3901 - logcount_predictions_loss: 0.2238 190/257 [=====================>........] - ETA: 20s - loss: 29.6169 - logits_profile_predictions_loss: 29.3930 - logcount_predictions_loss: 0.2238 191/257 [=====================>........] - ETA: 20s - loss: 29.6310 - logits_profile_predictions_loss: 29.4065 - logcount_predictions_loss: 0.2244 192/257 [=====================>........] - ETA: 19s - loss: 29.6258 - logits_profile_predictions_loss: 29.4010 - logcount_predictions_loss: 0.2248 193/257 [=====================>........] - ETA: 19s - loss: 29.6194 - logits_profile_predictions_loss: 29.3945 - logcount_predictions_loss: 0.2250 194/257 [=====================>........] - ETA: 19s - loss: 29.6244 - logits_profile_predictions_loss: 29.3998 - logcount_predictions_loss: 0.2246 195/257 [=====================>........] - ETA: 18s - loss: 29.6384 - logits_profile_predictions_loss: 29.4138 - logcount_predictions_loss: 0.2247 196/257 [=====================>........] - ETA: 18s - loss: 29.6496 - logits_profile_predictions_loss: 29.4248 - logcount_predictions_loss: 0.2247 197/257 [=====================>........] - ETA: 18s - loss: 29.6554 - logits_profile_predictions_loss: 29.4307 - logcount_predictions_loss: 0.2247 198/257 [======================>.......] - ETA: 17s - loss: 29.6523 - logits_profile_predictions_loss: 29.4277 - logcount_predictions_loss: 0.2246 199/257 [======================>.......] - ETA: 17s - loss: 29.6639 - logits_profile_predictions_loss: 29.4394 - logcount_predictions_loss: 0.2245 200/257 [======================>.......] - ETA: 17s - loss: 29.6794 - logits_profile_predictions_loss: 29.4549 - logcount_predictions_loss: 0.2245 201/257 [======================>.......] - ETA: 17s - loss: 29.6620 - logits_profile_predictions_loss: 29.4376 - 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- ETA: 12s - loss: 29.6889 - logits_profile_predictions_loss: 29.4654 - logcount_predictions_loss: 0.2236 216/257 [========================>.....] - ETA: 12s - loss: 29.7058 - logits_profile_predictions_loss: 29.4818 - logcount_predictions_loss: 0.2240 217/257 [========================>.....] - ETA: 12s - loss: 29.7126 - logits_profile_predictions_loss: 29.4885 - logcount_predictions_loss: 0.2241 218/257 [========================>.....] - ETA: 11s - loss: 29.7031 - logits_profile_predictions_loss: 29.4786 - logcount_predictions_loss: 0.2244 219/257 [========================>.....] - ETA: 11s - loss: 29.6885 - logits_profile_predictions_loss: 29.4643 - logcount_predictions_loss: 0.2242 220/257 [========================>.....] - ETA: 11s - loss: 29.7037 - logits_profile_predictions_loss: 29.4791 - logcount_predictions_loss: 0.2245 221/257 [========================>.....] - ETA: 10s - loss: 29.7095 - logits_profile_predictions_loss: 29.4850 - logcount_predictions_loss: 0.2245 222/257 [========================>.....] - ETA: 10s - loss: 29.7186 - logits_profile_predictions_loss: 29.4941 - logcount_predictions_loss: 0.2245 223/257 [=========================>....] - ETA: 10s - loss: 29.7098 - logits_profile_predictions_loss: 29.4853 - logcount_predictions_loss: 0.2245 224/257 [=========================>....] - ETA: 10s - loss: 29.7159 - logits_profile_predictions_loss: 29.4913 - logcount_predictions_loss: 0.2247 225/257 [=========================>....] - ETA: 9s - loss: 29.7330 - logits_profile_predictions_loss: 29.5087 - logcount_predictions_loss: 0.2243  226/257 [=========================>....] - ETA: 9s - loss: 29.7421 - logits_profile_predictions_loss: 29.5180 - logcount_predictions_loss: 0.2242 227/257 [=========================>....] - ETA: 9s - loss: 29.7709 - logits_profile_predictions_loss: 29.5465 - logcount_predictions_loss: 0.2244 228/257 [=========================>....] - ETA: 8s - loss: 29.7709 - logits_profile_predictions_loss: 29.5464 - logcount_predictions_loss: 0.2246 229/257 [=========================>....] - ETA: 8s - loss: 29.7506 - logits_profile_predictions_loss: 29.5260 - logcount_predictions_loss: 0.2246 230/257 [=========================>....] - ETA: 8s - loss: 29.7604 - logits_profile_predictions_loss: 29.5354 - logcount_predictions_loss: 0.2250 231/257 [=========================>....] - ETA: 7s - loss: 29.7486 - logits_profile_predictions_loss: 29.5239 - logcount_predictions_loss: 0.2248 232/257 [==========================>...] - ETA: 7s - loss: 29.7491 - logits_profile_predictions_loss: 29.5246 - logcount_predictions_loss: 0.2245 233/257 [==========================>...] - ETA: 7s - loss: 29.7697 - logits_profile_predictions_loss: 29.5452 - logcount_predictions_loss: 0.2245 234/257 [==========================>...] - ETA: 7s - loss: 29.7835 - logits_profile_predictions_loss: 29.5589 - logcount_predictions_loss: 0.2246 235/257 [==========================>...] - ETA: 6s - loss: 29.7806 - 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[============================>.] - ETA: 2s - loss: 29.7530 - logits_profile_predictions_loss: 29.5247 - logcount_predictions_loss: 0.2283 250/257 [============================>.] - ETA: 2s - loss: 29.7652 - logits_profile_predictions_loss: 29.5364 - logcount_predictions_loss: 0.2288 251/257 [============================>.] - ETA: 1s - loss: 29.7736 - logits_profile_predictions_loss: 29.5444 - logcount_predictions_loss: 0.2292 252/257 [============================>.] - ETA: 1s - loss: 29.7724 - logits_profile_predictions_loss: 29.5435 - logcount_predictions_loss: 0.2290 253/257 [============================>.] - ETA: 1s - loss: 29.7773 - logits_profile_predictions_loss: 29.5487 - logcount_predictions_loss: 0.2287 254/257 [============================>.] - ETA: 0s - loss: 29.7614 - logits_profile_predictions_loss: 29.5327 - logcount_predictions_loss: 0.2288 255/257 [============================>.] - ETA: 0s - loss: 29.7522 - logits_profile_predictions_loss: 29.5235 - logcount_predictions_loss: 0.2287 256/257 [============================>.] - ETA: 0s - loss: 29.7501 - logits_profile_predictions_loss: 29.5214 - logcount_predictions_loss: 0.2287 257/257 [==============================] - ETA: 0s - loss: 29.7441 - logits_profile_predictions_loss: 29.5154 - logcount_predictions_loss: 0.2287 Epoch 6: val_loss did not improve from 31.66853  257/257 [==============================] - 84s 326ms/step - loss: 29.7441 - logits_profile_predictions_loss: 29.5154 - logcount_predictions_loss: 0.2287 - val_loss: 31.8049 - val_logits_profile_predictions_loss: 31.6084 - val_logcount_predictions_loss: 0.1965 Epoch 7/50 1/257 [..............................] - ETA: 1:19 - loss: 27.3326 - logits_profile_predictions_loss: 27.0948 - logcount_predictions_loss: 0.2379 2/257 [..............................] - ETA: 1:15 - loss: 26.4044 - logits_profile_predictions_loss: 26.1928 - logcount_predictions_loss: 0.2116 3/257 [..............................] - ETA: 1:15 - loss: 27.0873 - logits_profile_predictions_loss: 26.8713 - logcount_predictions_loss: 0.2161 4/257 [..............................] - ETA: 1:14 - loss: 28.8241 - logits_profile_predictions_loss: 28.5839 - logcount_predictions_loss: 0.2402 5/257 [..............................] - ETA: 1:14 - loss: 28.7620 - logits_profile_predictions_loss: 28.5245 - logcount_predictions_loss: 0.2375 6/257 [..............................] - ETA: 1:14 - loss: 29.5086 - logits_profile_predictions_loss: 29.2552 - logcount_predictions_loss: 0.2534 7/257 [..............................] - ETA: 1:14 - loss: 29.5071 - logits_profile_predictions_loss: 29.2609 - logcount_predictions_loss: 0.2461 8/257 [..............................] - ETA: 1:13 - loss: 29.3340 - logits_profile_predictions_loss: 29.0843 - logcount_predictions_loss: 0.2497 9/257 [>.............................] - ETA: 1:13 - loss: 29.7082 - logits_profile_predictions_loss: 29.4566 - logcount_predictions_loss: 0.2517 10/257 [>.............................] - ETA: 1:13 - loss: 29.9456 - logits_profile_predictions_loss: 29.6957 - logcount_predictions_loss: 0.2499 11/257 [>.............................] - ETA: 1:12 - loss: 30.1214 - logits_profile_predictions_loss: 29.8773 - logcount_predictions_loss: 0.2441 12/257 [>.............................] - ETA: 1:12 - loss: 29.9292 - logits_profile_predictions_loss: 29.6868 - logcount_predictions_loss: 0.2424 13/257 [>.............................] - ETA: 1:12 - loss: 29.7511 - logits_profile_predictions_loss: 29.5106 - logcount_predictions_loss: 0.2406 14/257 [>.............................] - ETA: 1:12 - loss: 29.5801 - logits_profile_predictions_loss: 29.3429 - logcount_predictions_loss: 0.2372 15/257 [>.............................] - ETA: 1:11 - loss: 29.6700 - logits_profile_predictions_loss: 29.4332 - logcount_predictions_loss: 0.2367 16/257 [>.............................] - ETA: 1:11 - loss: 29.6658 - logits_profile_predictions_loss: 29.4272 - logcount_predictions_loss: 0.2386 17/257 [>.............................] - ETA: 1:11 - loss: 29.6573 - logits_profile_predictions_loss: 29.4186 - logcount_predictions_loss: 0.2387 18/257 [=>............................] - ETA: 1:11 - loss: 29.8532 - logits_profile_predictions_loss: 29.6163 - logcount_predictions_loss: 0.2369 19/257 [=>............................] - ETA: 1:10 - loss: 29.9075 - logits_profile_predictions_loss: 29.6708 - logcount_predictions_loss: 0.2367 20/257 [=>............................] - ETA: 1:10 - loss: 29.7852 - logits_profile_predictions_loss: 29.5490 - logcount_predictions_loss: 0.2363 21/257 [=>............................] - ETA: 1:10 - loss: 29.7836 - logits_profile_predictions_loss: 29.5500 - logcount_predictions_loss: 0.2336 22/257 [=>............................] - ETA: 1:09 - loss: 29.8267 - logits_profile_predictions_loss: 29.5910 - logcount_predictions_loss: 0.2357 23/257 [=>............................] - ETA: 1:09 - loss: 29.6549 - 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logits_profile_predictions_loss: 29.1721 - logcount_predictions_loss: 0.2208 186/257 [====================>.........] - ETA: 21s - loss: 29.4007 - logits_profile_predictions_loss: 29.1802 - logcount_predictions_loss: 0.2206 187/257 [====================>.........] - ETA: 21s - loss: 29.3973 - logits_profile_predictions_loss: 29.1769 - logcount_predictions_loss: 0.2205 188/257 [====================>.........] - ETA: 21s - loss: 29.3987 - logits_profile_predictions_loss: 29.1783 - logcount_predictions_loss: 0.2205 189/257 [=====================>........] - ETA: 20s - loss: 29.3969 - logits_profile_predictions_loss: 29.1763 - logcount_predictions_loss: 0.2206 190/257 [=====================>........] - ETA: 20s - loss: 29.3766 - logits_profile_predictions_loss: 29.1558 - logcount_predictions_loss: 0.2208 191/257 [=====================>........] - ETA: 20s - loss: 29.3662 - logits_profile_predictions_loss: 29.1450 - logcount_predictions_loss: 0.2212 192/257 [=====================>........] - ETA: 19s - loss: 29.3505 - logits_profile_predictions_loss: 29.1297 - logcount_predictions_loss: 0.2208 193/257 [=====================>........] - ETA: 19s - loss: 29.3328 - logits_profile_predictions_loss: 29.1123 - logcount_predictions_loss: 0.2205 194/257 [=====================>........] - ETA: 19s - loss: 29.3322 - logits_profile_predictions_loss: 29.1118 - logcount_predictions_loss: 0.2205 195/257 [=====================>........] - ETA: 18s - loss: 29.3515 - logits_profile_predictions_loss: 29.1311 - logcount_predictions_loss: 0.2204 196/257 [=====================>........] - ETA: 18s - loss: 29.3579 - logits_profile_predictions_loss: 29.1378 - logcount_predictions_loss: 0.2201 197/257 [=====================>........] - ETA: 18s - loss: 29.3602 - logits_profile_predictions_loss: 29.1402 - logcount_predictions_loss: 0.2200 198/257 [======================>.......] - ETA: 17s - loss: 29.3627 - logits_profile_predictions_loss: 29.1429 - logcount_predictions_loss: 0.2198 199/257 [======================>.......] - ETA: 17s - loss: 29.3593 - logits_profile_predictions_loss: 29.1395 - logcount_predictions_loss: 0.2198 200/257 [======================>.......] - ETA: 17s - loss: 29.3554 - logits_profile_predictions_loss: 29.1355 - logcount_predictions_loss: 0.2199 201/257 [======================>.......] - ETA: 17s - loss: 29.3633 - logits_profile_predictions_loss: 29.1431 - logcount_predictions_loss: 0.2202 202/257 [======================>.......] - ETA: 16s - loss: 29.3646 - logits_profile_predictions_loss: 29.1441 - logcount_predictions_loss: 0.2205 203/257 [======================>.......] - ETA: 16s - loss: 29.3563 - logits_profile_predictions_loss: 29.1356 - logcount_predictions_loss: 0.2207 204/257 [======================>.......] - ETA: 16s - loss: 29.3638 - logits_profile_predictions_loss: 29.1435 - logcount_predictions_loss: 0.2203 205/257 [======================>.......] - ETA: 15s - loss: 29.3631 - logits_profile_predictions_loss: 29.1431 - logcount_predictions_loss: 0.2200 206/257 [=======================>......] - ETA: 15s - loss: 29.3843 - logits_profile_predictions_loss: 29.1644 - logcount_predictions_loss: 0.2199 207/257 [=======================>......] - ETA: 15s - loss: 29.3993 - logits_profile_predictions_loss: 29.1789 - logcount_predictions_loss: 0.2204 208/257 [=======================>......] - ETA: 14s - loss: 29.4075 - logits_profile_predictions_loss: 29.1874 - logcount_predictions_loss: 0.2200 209/257 [=======================>......] - ETA: 14s - loss: 29.4029 - logits_profile_predictions_loss: 29.1832 - logcount_predictions_loss: 0.2197 210/257 [=======================>......] - ETA: 14s - loss: 29.4023 - logits_profile_predictions_loss: 29.1826 - logcount_predictions_loss: 0.2197 211/257 [=======================>......] - ETA: 14s - loss: 29.3935 - logits_profile_predictions_loss: 29.1739 - logcount_predictions_loss: 0.2195 212/257 [=======================>......] - ETA: 13s - loss: 29.3999 - logits_profile_predictions_loss: 29.1799 - logcount_predictions_loss: 0.2200 213/257 [=======================>......] - ETA: 13s - loss: 29.4018 - logits_profile_predictions_loss: 29.1818 - logcount_predictions_loss: 0.2200 214/257 [=======================>......] - ETA: 13s - loss: 29.3906 - logits_profile_predictions_loss: 29.1709 - logcount_predictions_loss: 0.2197 215/257 [========================>.....] - ETA: 12s - loss: 29.3967 - logits_profile_predictions_loss: 29.1772 - logcount_predictions_loss: 0.2195 216/257 [========================>.....] - ETA: 12s - loss: 29.3962 - logits_profile_predictions_loss: 29.1767 - logcount_predictions_loss: 0.2196 217/257 [========================>.....] - ETA: 12s - loss: 29.3912 - logits_profile_predictions_loss: 29.1717 - logcount_predictions_loss: 0.2196 218/257 [========================>.....] - ETA: 11s - loss: 29.4126 - logits_profile_predictions_loss: 29.1930 - logcount_predictions_loss: 0.2197 219/257 [========================>.....] - ETA: 11s - loss: 29.4087 - logits_profile_predictions_loss: 29.1890 - logcount_predictions_loss: 0.2197 220/257 [========================>.....] - ETA: 11s - loss: 29.3981 - logits_profile_predictions_loss: 29.1783 - logcount_predictions_loss: 0.2198 221/257 [========================>.....] - ETA: 10s - loss: 29.3955 - logits_profile_predictions_loss: 29.1758 - logcount_predictions_loss: 0.2197 222/257 [========================>.....] - ETA: 10s - loss: 29.3742 - logits_profile_predictions_loss: 29.1546 - logcount_predictions_loss: 0.2197 223/257 [=========================>....] - ETA: 10s - loss: 29.3778 - logits_profile_predictions_loss: 29.1582 - logcount_predictions_loss: 0.2195 224/257 [=========================>....] - ETA: 10s - loss: 29.3817 - logits_profile_predictions_loss: 29.1621 - logcount_predictions_loss: 0.2196 225/257 [=========================>....] - ETA: 9s - loss: 29.3688 - logits_profile_predictions_loss: 29.1493 - logcount_predictions_loss: 0.2195  226/257 [=========================>....] - ETA: 9s - loss: 29.3752 - logits_profile_predictions_loss: 29.1557 - logcount_predictions_loss: 0.2195 227/257 [=========================>....] - ETA: 9s - loss: 29.3796 - logits_profile_predictions_loss: 29.1604 - logcount_predictions_loss: 0.2192 228/257 [=========================>....] - ETA: 8s - loss: 29.3806 - logits_profile_predictions_loss: 29.1614 - logcount_predictions_loss: 0.2192 229/257 [=========================>....] - ETA: 8s - loss: 29.4006 - logits_profile_predictions_loss: 29.1812 - logcount_predictions_loss: 0.2194 230/257 [=========================>....] - ETA: 8s - loss: 29.3860 - logits_profile_predictions_loss: 29.1666 - logcount_predictions_loss: 0.2194 231/257 [=========================>....] - ETA: 7s - loss: 29.3858 - logits_profile_predictions_loss: 29.1667 - logcount_predictions_loss: 0.2191 232/257 [==========================>...] - ETA: 7s - loss: 29.3851 - logits_profile_predictions_loss: 29.1659 - logcount_predictions_loss: 0.2192 233/257 [==========================>...] - ETA: 7s - loss: 29.3969 - logits_profile_predictions_loss: 29.1779 - logcount_predictions_loss: 0.2190 234/257 [==========================>...] - ETA: 7s - loss: 29.3989 - logits_profile_predictions_loss: 29.1800 - logcount_predictions_loss: 0.2189 235/257 [==========================>...] - ETA: 6s - loss: 29.4047 - logits_profile_predictions_loss: 29.1858 - logcount_predictions_loss: 0.2189 236/257 [==========================>...] - ETA: 6s - loss: 29.4060 - logits_profile_predictions_loss: 29.1873 - logcount_predictions_loss: 0.2187 237/257 [==========================>...] - ETA: 6s - loss: 29.4111 - logits_profile_predictions_loss: 29.1927 - logcount_predictions_loss: 0.2184 238/257 [==========================>...] - ETA: 5s - loss: 29.4068 - logits_profile_predictions_loss: 29.1885 - logcount_predictions_loss: 0.2183 239/257 [==========================>...] - ETA: 5s - loss: 29.4193 - logits_profile_predictions_loss: 29.2007 - logcount_predictions_loss: 0.2186 240/257 [===========================>..] - ETA: 5s - loss: 29.4304 - logits_profile_predictions_loss: 29.2116 - logcount_predictions_loss: 0.2188 241/257 [===========================>..] - ETA: 4s - loss: 29.4363 - logits_profile_predictions_loss: 29.2176 - logcount_predictions_loss: 0.2187 242/257 [===========================>..] - ETA: 4s - loss: 29.4476 - logits_profile_predictions_loss: 29.2289 - logcount_predictions_loss: 0.2187 243/257 [===========================>..] - ETA: 4s - loss: 29.4458 - logits_profile_predictions_loss: 29.2265 - logcount_predictions_loss: 0.2192 244/257 [===========================>..] - ETA: 3s - loss: 29.4369 - logits_profile_predictions_loss: 29.2177 - logcount_predictions_loss: 0.2192 245/257 [===========================>..] - ETA: 3s - loss: 29.4504 - logits_profile_predictions_loss: 29.2310 - logcount_predictions_loss: 0.2194 246/257 [===========================>..] - ETA: 3s - loss: 29.4624 - logits_profile_predictions_loss: 29.2428 - logcount_predictions_loss: 0.2196 247/257 [===========================>..] - ETA: 3s - loss: 29.4744 - logits_profile_predictions_loss: 29.2544 - logcount_predictions_loss: 0.2200 248/257 [===========================>..] - ETA: 2s - loss: 29.4802 - logits_profile_predictions_loss: 29.2603 - logcount_predictions_loss: 0.2199 249/257 [============================>.] - ETA: 2s - loss: 29.4644 - logits_profile_predictions_loss: 29.2447 - logcount_predictions_loss: 0.2197 250/257 [============================>.] - ETA: 2s - loss: 29.4630 - logits_profile_predictions_loss: 29.2435 - logcount_predictions_loss: 0.2194 251/257 [============================>.] - ETA: 1s - loss: 29.4891 - logits_profile_predictions_loss: 29.2694 - logcount_predictions_loss: 0.2197 252/257 [============================>.] - ETA: 1s - loss: 29.4826 - logits_profile_predictions_loss: 29.2632 - logcount_predictions_loss: 0.2194 253/257 [============================>.] - ETA: 1s - loss: 29.4652 - logits_profile_predictions_loss: 29.2458 - logcount_predictions_loss: 0.2194 254/257 [============================>.] - ETA: 0s - loss: 29.4665 - logits_profile_predictions_loss: 29.2471 - logcount_predictions_loss: 0.2194 255/257 [============================>.] - ETA: 0s - loss: 29.4750 - logits_profile_predictions_loss: 29.2552 - logcount_predictions_loss: 0.2197 256/257 [============================>.] - ETA: 0s - loss: 29.4870 - logits_profile_predictions_loss: 29.2672 - logcount_predictions_loss: 0.2198 257/257 [==============================] - ETA: 0s - loss: 29.4943 - logits_profile_predictions_loss: 29.2739 - logcount_predictions_loss: 0.2204 Epoch 7: val_loss did not improve from 31.66853  257/257 [==============================] - 84s 326ms/step - loss: 29.4943 - logits_profile_predictions_loss: 29.2739 - logcount_predictions_loss: 0.2204 - val_loss: 31.9316 - val_logits_profile_predictions_loss: 31.7271 - val_logcount_predictions_loss: 0.2045 Epoch 8/50 1/257 [..............................] - ETA: 1:19 - loss: 34.1662 - logits_profile_predictions_loss: 34.0005 - logcount_predictions_loss: 0.1657 2/257 [..............................] - ETA: 1:15 - loss: 31.7235 - logits_profile_predictions_loss: 31.5572 - logcount_predictions_loss: 0.1663 3/257 [..............................] - ETA: 1:15 - loss: 31.5190 - logits_profile_predictions_loss: 31.3391 - logcount_predictions_loss: 0.1799 4/257 [..............................] - ETA: 1:14 - loss: 31.2537 - logits_profile_predictions_loss: 31.0705 - logcount_predictions_loss: 0.1831 5/257 [..............................] - ETA: 1:14 - loss: 30.2217 - logits_profile_predictions_loss: 30.0402 - logcount_predictions_loss: 0.1815 6/257 [..............................] - ETA: 1:14 - loss: 30.1081 - logits_profile_predictions_loss: 29.9215 - logcount_predictions_loss: 0.1866 7/257 [..............................] - ETA: 1:14 - loss: 30.1158 - logits_profile_predictions_loss: 29.9339 - logcount_predictions_loss: 0.1819 8/257 [..............................] - ETA: 1:13 - loss: 29.9447 - logits_profile_predictions_loss: 29.7674 - logcount_predictions_loss: 0.1774 9/257 [>.............................] - ETA: 1:13 - loss: 29.6054 - logits_profile_predictions_loss: 29.4273 - logcount_predictions_loss: 0.1781 10/257 [>.............................] - ETA: 1:13 - loss: 29.1741 - logits_profile_predictions_loss: 28.9969 - logcount_predictions_loss: 0.1773 11/257 [>.............................] - ETA: 1:12 - loss: 29.0344 - logits_profile_predictions_loss: 28.8577 - logcount_predictions_loss: 0.1767 12/257 [>.............................] - ETA: 1:12 - loss: 28.6755 - logits_profile_predictions_loss: 28.4958 - logcount_predictions_loss: 0.1796 13/257 [>.............................] - ETA: 1:12 - loss: 29.0314 - logits_profile_predictions_loss: 28.8456 - logcount_predictions_loss: 0.1858 14/257 [>.............................] - ETA: 1:12 - loss: 28.8639 - logits_profile_predictions_loss: 28.6732 - logcount_predictions_loss: 0.1907 15/257 [>.............................] - ETA: 1:11 - loss: 28.7987 - logits_profile_predictions_loss: 28.6055 - logcount_predictions_loss: 0.1932 16/257 [>.............................] - ETA: 1:11 - loss: 28.8005 - logits_profile_predictions_loss: 28.6109 - logcount_predictions_loss: 0.1896 17/257 [>.............................] - ETA: 1:11 - loss: 28.9222 - logits_profile_predictions_loss: 28.7352 - logcount_predictions_loss: 0.1870 18/257 [=>............................] - ETA: 1:10 - loss: 28.8625 - logits_profile_predictions_loss: 28.6762 - logcount_predictions_loss: 0.1863 19/257 [=>............................] - ETA: 1:10 - loss: 28.9007 - logits_profile_predictions_loss: 28.7167 - logcount_predictions_loss: 0.1840 20/257 [=>............................] - ETA: 1:10 - loss: 28.7955 - logits_profile_predictions_loss: 28.6089 - logcount_predictions_loss: 0.1866 21/257 [=>............................] - ETA: 1:10 - loss: 28.8181 - logits_profile_predictions_loss: 28.6307 - logcount_predictions_loss: 0.1874 22/257 [=>............................] - ETA: 1:09 - loss: 28.8618 - logits_profile_predictions_loss: 28.6724 - logcount_predictions_loss: 0.1894 23/257 [=>............................] - ETA: 1:09 - loss: 28.9185 - logits_profile_predictions_loss: 28.7275 - logcount_predictions_loss: 0.1910 24/257 [=>............................] - ETA: 1:09 - loss: 28.8848 - logits_profile_predictions_loss: 28.6939 - logcount_predictions_loss: 0.1909 25/257 [=>............................] - ETA: 1:08 - loss: 28.9185 - logits_profile_predictions_loss: 28.7290 - logcount_predictions_loss: 0.1896 26/257 [==>...........................] - ETA: 1:08 - loss: 29.1137 - logits_profile_predictions_loss: 28.9248 - logcount_predictions_loss: 0.1889 27/257 [==>...........................] - ETA: 1:08 - loss: 29.1775 - logits_profile_predictions_loss: 28.9881 - logcount_predictions_loss: 0.1894 28/257 [==>...........................] - ETA: 1:08 - loss: 29.2048 - logits_profile_predictions_loss: 29.0154 - logcount_predictions_loss: 0.1894 29/257 [==>...........................] - ETA: 1:07 - loss: 29.3126 - logits_profile_predictions_loss: 29.1212 - logcount_predictions_loss: 0.1914 30/257 [==>...........................] - ETA: 1:07 - loss: 29.2248 - logits_profile_predictions_loss: 29.0302 - logcount_predictions_loss: 0.1946 31/257 [==>...........................] - ETA: 1:07 - loss: 29.2042 - logits_profile_predictions_loss: 29.0096 - logcount_predictions_loss: 0.1946 32/257 [==>...........................] - ETA: 1:06 - loss: 29.2729 - logits_profile_predictions_loss: 29.0785 - logcount_predictions_loss: 0.1944 33/257 [==>...........................] - ETA: 1:06 - loss: 29.1971 - logits_profile_predictions_loss: 29.0027 - logcount_predictions_loss: 0.1943 34/257 [==>...........................] - ETA: 1:06 - loss: 29.1995 - logits_profile_predictions_loss: 29.0067 - logcount_predictions_loss: 0.1928 35/257 [===>..........................] - ETA: 1:06 - loss: 29.3211 - logits_profile_predictions_loss: 29.1260 - logcount_predictions_loss: 0.1951 36/257 [===>..........................] - ETA: 1:05 - loss: 29.3006 - logits_profile_predictions_loss: 29.1059 - logcount_predictions_loss: 0.1947 37/257 [===>..........................] - ETA: 1:05 - loss: 29.2324 - logits_profile_predictions_loss: 29.0380 - logcount_predictions_loss: 0.1944 38/257 [===>..........................] - ETA: 1:05 - loss: 29.2156 - logits_profile_predictions_loss: 29.0204 - logcount_predictions_loss: 0.1952 39/257 [===>..........................] - ETA: 1:04 - loss: 29.3034 - logits_profile_predictions_loss: 29.1082 - logcount_predictions_loss: 0.1951 40/257 [===>..........................] - ETA: 1:04 - loss: 29.2505 - logits_profile_predictions_loss: 29.0522 - logcount_predictions_loss: 0.1983 41/257 [===>..........................] - ETA: 1:04 - loss: 29.2469 - logits_profile_predictions_loss: 29.0472 - logcount_predictions_loss: 0.1997 42/257 [===>..........................] - ETA: 1:04 - loss: 29.1978 - logits_profile_predictions_loss: 28.9976 - logcount_predictions_loss: 0.2002 43/257 [====>.........................] - ETA: 1:03 - loss: 29.1748 - logits_profile_predictions_loss: 28.9743 - logcount_predictions_loss: 0.2005 44/257 [====>.........................] - ETA: 1:03 - loss: 29.2031 - logits_profile_predictions_loss: 29.0027 - logcount_predictions_loss: 0.2004 45/257 [====>.........................] - ETA: 1:03 - loss: 29.3353 - logits_profile_predictions_loss: 29.1341 - logcount_predictions_loss: 0.2012 46/257 [====>.........................] - ETA: 1:02 - loss: 29.3946 - logits_profile_predictions_loss: 29.1948 - logcount_predictions_loss: 0.1998 47/257 [====>.........................] - ETA: 1:02 - loss: 29.3792 - logits_profile_predictions_loss: 29.1795 - logcount_predictions_loss: 0.1998 48/257 [====>.........................] - ETA: 1:02 - loss: 29.3428 - logits_profile_predictions_loss: 29.1436 - logcount_predictions_loss: 0.1992 49/257 [====>.........................] - ETA: 1:02 - loss: 29.2989 - logits_profile_predictions_loss: 29.0989 - logcount_predictions_loss: 0.2000 50/257 [====>.........................] - ETA: 1:01 - loss: 29.2921 - logits_profile_predictions_loss: 29.0903 - logcount_predictions_loss: 0.2018 51/257 [====>.........................] - ETA: 1:01 - loss: 29.3413 - logits_profile_predictions_loss: 29.1397 - logcount_predictions_loss: 0.2016 52/257 [=====>........................] - ETA: 1:01 - loss: 29.3512 - logits_profile_predictions_loss: 29.1475 - logcount_predictions_loss: 0.2037 53/257 [=====>........................] - ETA: 1:00 - loss: 29.3552 - logits_profile_predictions_loss: 29.1527 - logcount_predictions_loss: 0.2024 54/257 [=====>........................] - ETA: 1:00 - loss: 29.3715 - logits_profile_predictions_loss: 29.1688 - logcount_predictions_loss: 0.2027 55/257 [=====>........................] - ETA: 1:00 - loss: 29.3716 - logits_profile_predictions_loss: 29.1684 - logcount_predictions_loss: 0.2032 56/257 [=====>........................] - ETA: 1:00 - loss: 29.3138 - logits_profile_predictions_loss: 29.1109 - logcount_predictions_loss: 0.2029 57/257 [=====>........................] - ETA: 59s - loss: 29.3719 - logits_profile_predictions_loss: 29.1688 - logcount_predictions_loss: 0.2030  58/257 [=====>........................] - ETA: 59s - loss: 29.3146 - logits_profile_predictions_loss: 29.1104 - logcount_predictions_loss: 0.2042 59/257 [=====>........................] - ETA: 59s - loss: 29.3603 - logits_profile_predictions_loss: 29.1561 - logcount_predictions_loss: 0.2042 60/257 [======>.......................] - ETA: 58s - loss: 29.4208 - logits_profile_predictions_loss: 29.2159 - logcount_predictions_loss: 0.2050 61/257 [======>.......................] - ETA: 58s - loss: 29.3968 - 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logits_profile_predictions_loss: 28.9628 - logcount_predictions_loss: 0.2266 224/257 [=========================>....] - ETA: 10s - loss: 29.1898 - logits_profile_predictions_loss: 28.9634 - logcount_predictions_loss: 0.2264 225/257 [=========================>....] - ETA: 9s - loss: 29.1937 - logits_profile_predictions_loss: 28.9675 - logcount_predictions_loss: 0.2262  226/257 [=========================>....] - ETA: 9s - loss: 29.2091 - logits_profile_predictions_loss: 28.9830 - logcount_predictions_loss: 0.2262 227/257 [=========================>....] - ETA: 9s - loss: 29.2133 - logits_profile_predictions_loss: 28.9874 - logcount_predictions_loss: 0.2260 228/257 [=========================>....] - ETA: 8s - loss: 29.2016 - logits_profile_predictions_loss: 28.9757 - logcount_predictions_loss: 0.2259 229/257 [=========================>....] - ETA: 8s - loss: 29.1992 - logits_profile_predictions_loss: 28.9737 - logcount_predictions_loss: 0.2255 230/257 [=========================>....] - ETA: 8s - loss: 29.1851 - logits_profile_predictions_loss: 28.9599 - logcount_predictions_loss: 0.2253 231/257 [=========================>....] - ETA: 7s - loss: 29.1837 - logits_profile_predictions_loss: 28.9586 - logcount_predictions_loss: 0.2251 232/257 [==========================>...] - ETA: 7s - loss: 29.1935 - logits_profile_predictions_loss: 28.9685 - logcount_predictions_loss: 0.2250 233/257 [==========================>...] - ETA: 7s - loss: 29.1902 - logits_profile_predictions_loss: 28.9650 - logcount_predictions_loss: 0.2251 234/257 [==========================>...] - ETA: 7s - loss: 29.2012 - logits_profile_predictions_loss: 28.9759 - logcount_predictions_loss: 0.2253 235/257 [==========================>...] - ETA: 6s - loss: 29.1866 - logits_profile_predictions_loss: 28.9615 - logcount_predictions_loss: 0.2252 236/257 [==========================>...] - ETA: 6s - loss: 29.1861 - logits_profile_predictions_loss: 28.9611 - logcount_predictions_loss: 0.2250 237/257 [==========================>...] - ETA: 6s - loss: 29.1793 - logits_profile_predictions_loss: 28.9547 - logcount_predictions_loss: 0.2247 238/257 [==========================>...] - ETA: 5s - loss: 29.1899 - logits_profile_predictions_loss: 28.9651 - logcount_predictions_loss: 0.2248 239/257 [==========================>...] - ETA: 5s - loss: 29.1953 - logits_profile_predictions_loss: 28.9707 - logcount_predictions_loss: 0.2246 240/257 [===========================>..] - ETA: 5s - loss: 29.2073 - logits_profile_predictions_loss: 28.9828 - logcount_predictions_loss: 0.2246 241/257 [===========================>..] - ETA: 4s - loss: 29.2104 - logits_profile_predictions_loss: 28.9863 - logcount_predictions_loss: 0.2242 242/257 [===========================>..] - ETA: 4s - loss: 29.2013 - logits_profile_predictions_loss: 28.9771 - logcount_predictions_loss: 0.2242 243/257 [===========================>..] - ETA: 4s - loss: 29.2097 - logits_profile_predictions_loss: 28.9859 - logcount_predictions_loss: 0.2238 244/257 [===========================>..] - ETA: 3s - loss: 29.2186 - logits_profile_predictions_loss: 28.9951 - logcount_predictions_loss: 0.2236 245/257 [===========================>..] - ETA: 3s - loss: 29.2207 - logits_profile_predictions_loss: 28.9974 - logcount_predictions_loss: 0.2234 246/257 [===========================>..] - ETA: 3s - loss: 29.2267 - logits_profile_predictions_loss: 29.0032 - logcount_predictions_loss: 0.2235 247/257 [===========================>..] - ETA: 3s - loss: 29.2333 - logits_profile_predictions_loss: 29.0100 - logcount_predictions_loss: 0.2233 248/257 [===========================>..] - ETA: 2s - loss: 29.2370 - logits_profile_predictions_loss: 29.0140 - logcount_predictions_loss: 0.2231 249/257 [============================>.] - ETA: 2s - loss: 29.2434 - logits_profile_predictions_loss: 29.0203 - logcount_predictions_loss: 0.2231 250/257 [============================>.] - ETA: 2s - loss: 29.2458 - logits_profile_predictions_loss: 29.0231 - logcount_predictions_loss: 0.2227 251/257 [============================>.] - ETA: 1s - loss: 29.2411 - logits_profile_predictions_loss: 29.0185 - logcount_predictions_loss: 0.2226 252/257 [============================>.] - ETA: 1s - loss: 29.2352 - logits_profile_predictions_loss: 29.0127 - logcount_predictions_loss: 0.2225 253/257 [============================>.] - ETA: 1s - loss: 29.2302 - logits_profile_predictions_loss: 29.0078 - logcount_predictions_loss: 0.2225 254/257 [============================>.] - ETA: 0s - loss: 29.2413 - logits_profile_predictions_loss: 29.0189 - logcount_predictions_loss: 0.2225 255/257 [============================>.] - ETA: 0s - loss: 29.2527 - logits_profile_predictions_loss: 29.0302 - logcount_predictions_loss: 0.2225 256/257 [============================>.] - ETA: 0s - loss: 29.2566 - logits_profile_predictions_loss: 29.0339 - logcount_predictions_loss: 0.2226 257/257 [==============================] - ETA: 0s - loss: 29.2566 - logits_profile_predictions_loss: 29.0342 - logcount_predictions_loss: 0.2225 Epoch 8: val_loss did not improve from 31.66853  257/257 [==============================] - 84s 326ms/step - loss: 29.2566 - logits_profile_predictions_loss: 29.0342 - logcount_predictions_loss: 0.2225 - val_loss: 32.0431 - val_logits_profile_predictions_loss: 31.8580 - val_logcount_predictions_loss: 0.1851 Epoch 9/50 1/257 [..............................] - ETA: 1:20 - loss: 28.2287 - logits_profile_predictions_loss: 28.0335 - logcount_predictions_loss: 0.1952 2/257 [..............................] - ETA: 1:15 - loss: 27.9918 - logits_profile_predictions_loss: 27.7851 - logcount_predictions_loss: 0.2066 3/257 [..............................] - ETA: 1:15 - loss: 27.6759 - logits_profile_predictions_loss: 27.4570 - logcount_predictions_loss: 0.2189 4/257 [..............................] - ETA: 1:14 - loss: 28.9100 - logits_profile_predictions_loss: 28.6737 - logcount_predictions_loss: 0.2363 5/257 [..............................] - ETA: 1:14 - loss: 28.4095 - logits_profile_predictions_loss: 28.1859 - logcount_predictions_loss: 0.2236 6/257 [..............................] - ETA: 1:14 - loss: 28.1085 - logits_profile_predictions_loss: 27.8936 - logcount_predictions_loss: 0.2149 7/257 [..............................] - ETA: 1:14 - loss: 28.7189 - logits_profile_predictions_loss: 28.5019 - logcount_predictions_loss: 0.2170 8/257 [..............................] - ETA: 1:13 - loss: 29.1682 - logits_profile_predictions_loss: 28.9397 - logcount_predictions_loss: 0.2285 9/257 [>.............................] - ETA: 1:13 - loss: 29.2456 - logits_profile_predictions_loss: 29.0123 - logcount_predictions_loss: 0.2333 10/257 [>.............................] - ETA: 1:13 - loss: 29.0918 - logits_profile_predictions_loss: 28.8605 - logcount_predictions_loss: 0.2312 11/257 [>.............................] - ETA: 1:13 - loss: 28.9982 - logits_profile_predictions_loss: 28.7610 - logcount_predictions_loss: 0.2372 12/257 [>.............................] - ETA: 1:12 - loss: 28.9390 - logits_profile_predictions_loss: 28.7086 - logcount_predictions_loss: 0.2304 13/257 [>.............................] - ETA: 1:12 - loss: 28.8618 - logits_profile_predictions_loss: 28.6316 - logcount_predictions_loss: 0.2302 14/257 [>.............................] - ETA: 1:12 - loss: 28.8734 - logits_profile_predictions_loss: 28.6433 - logcount_predictions_loss: 0.2301 15/257 [>.............................] - ETA: 1:11 - loss: 28.6636 - logits_profile_predictions_loss: 28.4340 - logcount_predictions_loss: 0.2296 16/257 [>.............................] - ETA: 1:11 - loss: 28.6116 - logits_profile_predictions_loss: 28.3841 - logcount_predictions_loss: 0.2275 17/257 [>.............................] - ETA: 1:11 - loss: 28.5621 - logits_profile_predictions_loss: 28.3301 - logcount_predictions_loss: 0.2320 18/257 [=>............................] - ETA: 1:11 - loss: 28.4610 - logits_profile_predictions_loss: 28.2330 - logcount_predictions_loss: 0.2281 19/257 [=>............................] - ETA: 1:10 - loss: 28.3582 - logits_profile_predictions_loss: 28.1298 - logcount_predictions_loss: 0.2284 20/257 [=>............................] - ETA: 1:10 - loss: 28.5449 - logits_profile_predictions_loss: 28.3130 - logcount_predictions_loss: 0.2319 21/257 [=>............................] - ETA: 1:10 - loss: 28.4857 - logits_profile_predictions_loss: 28.2560 - logcount_predictions_loss: 0.2297 22/257 [=>............................] - ETA: 1:09 - loss: 28.3873 - logits_profile_predictions_loss: 28.1578 - logcount_predictions_loss: 0.2296 23/257 [=>............................] - ETA: 1:09 - loss: 28.4314 - logits_profile_predictions_loss: 28.2027 - logcount_predictions_loss: 0.2287 24/257 [=>............................] - ETA: 1:09 - loss: 28.6154 - logits_profile_predictions_loss: 28.3866 - logcount_predictions_loss: 0.2288 25/257 [=>............................] - ETA: 1:08 - loss: 28.7783 - logits_profile_predictions_loss: 28.5486 - logcount_predictions_loss: 0.2297 26/257 [==>...........................] - ETA: 1:08 - loss: 28.7059 - logits_profile_predictions_loss: 28.4775 - logcount_predictions_loss: 0.2284 27/257 [==>...........................] - ETA: 1:08 - loss: 28.8373 - logits_profile_predictions_loss: 28.6082 - logcount_predictions_loss: 0.2291 28/257 [==>...........................] - ETA: 1:08 - loss: 28.8272 - logits_profile_predictions_loss: 28.5929 - logcount_predictions_loss: 0.2343 29/257 [==>...........................] - ETA: 1:07 - loss: 28.8354 - logits_profile_predictions_loss: 28.5981 - logcount_predictions_loss: 0.2373 30/257 [==>...........................] - ETA: 1:07 - loss: 28.8753 - logits_profile_predictions_loss: 28.6396 - logcount_predictions_loss: 0.2357 31/257 [==>...........................] - ETA: 1:07 - loss: 28.8308 - logits_profile_predictions_loss: 28.5966 - logcount_predictions_loss: 0.2343 32/257 [==>...........................] - ETA: 1:06 - loss: 28.8064 - logits_profile_predictions_loss: 28.5708 - logcount_predictions_loss: 0.2355 33/257 [==>...........................] - ETA: 1:06 - loss: 28.7514 - logits_profile_predictions_loss: 28.5183 - logcount_predictions_loss: 0.2332 34/257 [==>...........................] - ETA: 1:06 - loss: 28.8341 - logits_profile_predictions_loss: 28.6018 - logcount_predictions_loss: 0.2323 35/257 [===>..........................] - ETA: 1:06 - loss: 28.8637 - logits_profile_predictions_loss: 28.6331 - logcount_predictions_loss: 0.2306 36/257 [===>..........................] - ETA: 1:05 - loss: 28.9593 - logits_profile_predictions_loss: 28.7296 - logcount_predictions_loss: 0.2297 37/257 [===>..........................] - ETA: 1:05 - loss: 28.9980 - logits_profile_predictions_loss: 28.7698 - logcount_predictions_loss: 0.2282 38/257 [===>..........................] - ETA: 1:05 - loss: 28.9456 - logits_profile_predictions_loss: 28.7189 - logcount_predictions_loss: 0.2267 39/257 [===>..........................] - ETA: 1:04 - loss: 28.9564 - logits_profile_predictions_loss: 28.7290 - logcount_predictions_loss: 0.2274 40/257 [===>..........................] - ETA: 1:04 - loss: 28.9219 - logits_profile_predictions_loss: 28.6950 - logcount_predictions_loss: 0.2269 41/257 [===>..........................] - ETA: 1:04 - loss: 28.9410 - logits_profile_predictions_loss: 28.7150 - logcount_predictions_loss: 0.2260 42/257 [===>..........................] - ETA: 1:04 - loss: 29.0275 - logits_profile_predictions_loss: 28.8004 - logcount_predictions_loss: 0.2271 43/257 [====>.........................] - ETA: 1:03 - loss: 29.0081 - logits_profile_predictions_loss: 28.7825 - logcount_predictions_loss: 0.2257 44/257 [====>.........................] - ETA: 1:03 - loss: 28.9484 - logits_profile_predictions_loss: 28.7232 - logcount_predictions_loss: 0.2252 45/257 [====>.........................] - ETA: 1:03 - loss: 28.8957 - logits_profile_predictions_loss: 28.6708 - logcount_predictions_loss: 0.2248 46/257 [====>.........................] - ETA: 1:02 - loss: 28.9103 - logits_profile_predictions_loss: 28.6862 - logcount_predictions_loss: 0.2241 47/257 [====>.........................] - ETA: 1:02 - loss: 28.8550 - logits_profile_predictions_loss: 28.6319 - logcount_predictions_loss: 0.2231 48/257 [====>.........................] - ETA: 1:02 - loss: 28.8851 - logits_profile_predictions_loss: 28.6615 - logcount_predictions_loss: 0.2236 49/257 [====>.........................] - ETA: 1:02 - loss: 28.8282 - logits_profile_predictions_loss: 28.6056 - logcount_predictions_loss: 0.2226 50/257 [====>.........................] - ETA: 1:01 - loss: 28.7799 - logits_profile_predictions_loss: 28.5584 - logcount_predictions_loss: 0.2216 51/257 [====>.........................] - ETA: 1:01 - loss: 28.6941 - logits_profile_predictions_loss: 28.4740 - logcount_predictions_loss: 0.2200 52/257 [=====>........................] - ETA: 1:01 - loss: 28.6707 - logits_profile_predictions_loss: 28.4511 - logcount_predictions_loss: 0.2196 53/257 [=====>........................] - ETA: 1:00 - loss: 28.6449 - logits_profile_predictions_loss: 28.4261 - logcount_predictions_loss: 0.2188 54/257 [=====>........................] - ETA: 59s - loss: 28.6776 - logits_profile_predictions_loss: 28.4585 - logcount_predictions_loss: 0.2191  55/257 [=====>........................] - ETA: 59s - loss: 28.6584 - logits_profile_predictions_loss: 28.4407 - logcount_predictions_loss: 0.2177 56/257 [=====>........................] - ETA: 59s - loss: 28.6099 - logits_profile_predictions_loss: 28.3914 - logcount_predictions_loss: 0.2185 57/257 [=====>........................] - ETA: 59s - loss: 28.6242 - logits_profile_predictions_loss: 28.4072 - logcount_predictions_loss: 0.2170 58/257 [=====>........................] - ETA: 58s - loss: 28.7070 - logits_profile_predictions_loss: 28.4900 - logcount_predictions_loss: 0.2170 59/257 [=====>........................] - ETA: 58s - loss: 28.7658 - logits_profile_predictions_loss: 28.5487 - logcount_predictions_loss: 0.2170 60/257 [======>.......................] - ETA: 58s - loss: 28.8145 - logits_profile_predictions_loss: 28.5977 - logcount_predictions_loss: 0.2168 61/257 [======>.......................] - ETA: 57s - loss: 28.8040 - logits_profile_predictions_loss: 28.5888 - logcount_predictions_loss: 0.2152 62/257 [======>.......................] - ETA: 57s - loss: 28.7979 - logits_profile_predictions_loss: 28.5832 - logcount_predictions_loss: 0.2147 63/257 [======>.......................] - ETA: 57s - loss: 28.8261 - logits_profile_predictions_loss: 28.6114 - logcount_predictions_loss: 0.2147 64/257 [======>.......................] - ETA: 57s - loss: 28.8276 - logits_profile_predictions_loss: 28.6116 - logcount_predictions_loss: 0.2159 65/257 [======>.......................] - ETA: 56s - loss: 28.8003 - logits_profile_predictions_loss: 28.5851 - logcount_predictions_loss: 0.2152 66/257 [======>.......................] - ETA: 56s - loss: 28.8285 - logits_profile_predictions_loss: 28.6140 - logcount_predictions_loss: 0.2144 67/257 [======>.......................] - ETA: 56s - loss: 28.8760 - logits_profile_predictions_loss: 28.6618 - logcount_predictions_loss: 0.2142 68/257 [======>.......................] - ETA: 55s - loss: 28.8613 - logits_profile_predictions_loss: 28.6479 - logcount_predictions_loss: 0.2133 69/257 [=======>......................] - ETA: 55s - loss: 28.8467 - logits_profile_predictions_loss: 28.6326 - logcount_predictions_loss: 0.2140 70/257 [=======>......................] - ETA: 55s - loss: 28.8595 - logits_profile_predictions_loss: 28.6456 - logcount_predictions_loss: 0.2139 71/257 [=======>......................] - ETA: 55s - loss: 28.8864 - logits_profile_predictions_loss: 28.6725 - logcount_predictions_loss: 0.2139 72/257 [=======>......................] - ETA: 54s - loss: 28.9380 - logits_profile_predictions_loss: 28.7214 - logcount_predictions_loss: 0.2166 73/257 [=======>......................] - ETA: 54s - loss: 28.9420 - logits_profile_predictions_loss: 28.7249 - logcount_predictions_loss: 0.2171 74/257 [=======>......................] - ETA: 54s - loss: 28.9129 - logits_profile_predictions_loss: 28.6965 - logcount_predictions_loss: 0.2164 75/257 [=======>......................] - ETA: 54s - loss: 28.9365 - logits_profile_predictions_loss: 28.7207 - logcount_predictions_loss: 0.2157 76/257 [=======>......................] - ETA: 53s - loss: 28.9219 - logits_profile_predictions_loss: 28.7059 - logcount_predictions_loss: 0.2160 77/257 [=======>......................] - ETA: 53s - loss: 28.9027 - logits_profile_predictions_loss: 28.6867 - logcount_predictions_loss: 0.2160 78/257 [========>.....................] - ETA: 53s - loss: 28.9740 - logits_profile_predictions_loss: 28.7574 - logcount_predictions_loss: 0.2166 79/257 [========>.....................] - ETA: 52s - loss: 28.9879 - logits_profile_predictions_loss: 28.7704 - logcount_predictions_loss: 0.2175 80/257 [========>.....................] - ETA: 52s - loss: 28.9972 - logits_profile_predictions_loss: 28.7794 - logcount_predictions_loss: 0.2178 81/257 [========>.....................] - ETA: 52s - loss: 29.0145 - logits_profile_predictions_loss: 28.7960 - logcount_predictions_loss: 0.2184 82/257 [========>.....................] - ETA: 52s - loss: 29.0588 - logits_profile_predictions_loss: 28.8413 - logcount_predictions_loss: 0.2175 83/257 [========>.....................] - ETA: 51s - loss: 29.0393 - logits_profile_predictions_loss: 28.8216 - logcount_predictions_loss: 0.2176 84/257 [========>.....................] - ETA: 51s - loss: 29.0322 - logits_profile_predictions_loss: 28.8147 - logcount_predictions_loss: 0.2174 85/257 [========>.....................] - ETA: 51s - loss: 28.9993 - logits_profile_predictions_loss: 28.7826 - logcount_predictions_loss: 0.2167 86/257 [=========>....................] - ETA: 50s - loss: 28.9911 - logits_profile_predictions_loss: 28.7745 - logcount_predictions_loss: 0.2166 87/257 [=========>....................] - ETA: 50s - loss: 29.0120 - logits_profile_predictions_loss: 28.7946 - logcount_predictions_loss: 0.2174 88/257 [=========>....................] - ETA: 50s - loss: 28.9715 - logits_profile_predictions_loss: 28.7544 - logcount_predictions_loss: 0.2171 89/257 [=========>....................] - ETA: 50s - loss: 28.9221 - logits_profile_predictions_loss: 28.7058 - logcount_predictions_loss: 0.2163 90/257 [=========>....................] - ETA: 49s - loss: 28.9163 - logits_profile_predictions_loss: 28.7001 - logcount_predictions_loss: 0.2162 91/257 [=========>....................] - ETA: 49s - loss: 28.8929 - logits_profile_predictions_loss: 28.6768 - logcount_predictions_loss: 0.2161 92/257 [=========>....................] - ETA: 49s - loss: 28.8879 - logits_profile_predictions_loss: 28.6712 - logcount_predictions_loss: 0.2167 93/257 [=========>....................] - ETA: 48s - loss: 28.8853 - logits_profile_predictions_loss: 28.6690 - logcount_predictions_loss: 0.2163 94/257 [=========>....................] - ETA: 48s - loss: 28.8683 - logits_profile_predictions_loss: 28.6520 - logcount_predictions_loss: 0.2163 95/257 [==========>...................] - ETA: 48s - loss: 28.9082 - logits_profile_predictions_loss: 28.6916 - logcount_predictions_loss: 0.2166 96/257 [==========>...................] - ETA: 47s - loss: 28.9235 - logits_profile_predictions_loss: 28.7069 - logcount_predictions_loss: 0.2166 97/257 [==========>...................] - ETA: 47s - loss: 28.9391 - logits_profile_predictions_loss: 28.7212 - logcount_predictions_loss: 0.2178 98/257 [==========>...................] - ETA: 47s - loss: 28.9318 - logits_profile_predictions_loss: 28.7137 - logcount_predictions_loss: 0.2181 99/257 [==========>...................] - ETA: 47s - loss: 28.9273 - 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- ETA: 13s - loss: 28.9754 - logits_profile_predictions_loss: 28.7639 - logcount_predictions_loss: 0.2114 215/257 [========================>.....] - ETA: 12s - loss: 28.9537 - logits_profile_predictions_loss: 28.7420 - logcount_predictions_loss: 0.2116 216/257 [========================>.....] - ETA: 12s - loss: 28.9454 - logits_profile_predictions_loss: 28.7342 - logcount_predictions_loss: 0.2112 217/257 [========================>.....] - ETA: 12s - loss: 28.9672 - logits_profile_predictions_loss: 28.7560 - logcount_predictions_loss: 0.2112 218/257 [========================>.....] - ETA: 11s - loss: 28.9814 - logits_profile_predictions_loss: 28.7702 - logcount_predictions_loss: 0.2111 219/257 [========================>.....] - ETA: 11s - loss: 28.9879 - logits_profile_predictions_loss: 28.7768 - logcount_predictions_loss: 0.2111 220/257 [========================>.....] - ETA: 11s - loss: 28.9894 - logits_profile_predictions_loss: 28.7783 - logcount_predictions_loss: 0.2111 221/257 [========================>.....] - ETA: 10s - loss: 28.9889 - logits_profile_predictions_loss: 28.7777 - logcount_predictions_loss: 0.2112 222/257 [========================>.....] - ETA: 10s - loss: 28.9989 - logits_profile_predictions_loss: 28.7878 - logcount_predictions_loss: 0.2111 223/257 [=========================>....] - ETA: 10s - loss: 28.9793 - logits_profile_predictions_loss: 28.7681 - logcount_predictions_loss: 0.2111 224/257 [=========================>....] - ETA: 10s - loss: 28.9804 - logits_profile_predictions_loss: 28.7693 - logcount_predictions_loss: 0.2111 225/257 [=========================>....] - ETA: 9s - loss: 28.9672 - logits_profile_predictions_loss: 28.7563 - logcount_predictions_loss: 0.2110  226/257 [=========================>....] - ETA: 9s - loss: 28.9713 - logits_profile_predictions_loss: 28.7602 - logcount_predictions_loss: 0.2111 227/257 [=========================>....] - ETA: 9s - loss: 28.9550 - logits_profile_predictions_loss: 28.7442 - 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4s - loss: 28.9426 - logits_profile_predictions_loss: 28.7323 - logcount_predictions_loss: 0.2103 242/257 [===========================>..] - ETA: 4s - loss: 28.9321 - logits_profile_predictions_loss: 28.7218 - logcount_predictions_loss: 0.2103 243/257 [===========================>..] - ETA: 4s - loss: 28.9391 - logits_profile_predictions_loss: 28.7291 - logcount_predictions_loss: 0.2099 244/257 [===========================>..] - ETA: 3s - loss: 28.9578 - logits_profile_predictions_loss: 28.7479 - logcount_predictions_loss: 0.2099 245/257 [===========================>..] - ETA: 3s - loss: 28.9611 - logits_profile_predictions_loss: 28.7515 - logcount_predictions_loss: 0.2097 246/257 [===========================>..] - ETA: 3s - loss: 28.9578 - logits_profile_predictions_loss: 28.7483 - logcount_predictions_loss: 0.2095 247/257 [===========================>..] - ETA: 3s - loss: 28.9505 - logits_profile_predictions_loss: 28.7411 - logcount_predictions_loss: 0.2094 248/257 [===========================>..] - ETA: 2s - loss: 28.9390 - logits_profile_predictions_loss: 28.7296 - logcount_predictions_loss: 0.2093 249/257 [============================>.] - ETA: 2s - loss: 28.9365 - logits_profile_predictions_loss: 28.7273 - logcount_predictions_loss: 0.2092 250/257 [============================>.] - ETA: 2s - loss: 28.9382 - logits_profile_predictions_loss: 28.7290 - logcount_predictions_loss: 0.2092 251/257 [============================>.] - ETA: 1s - loss: 28.9422 - logits_profile_predictions_loss: 28.7330 - logcount_predictions_loss: 0.2093 252/257 [============================>.] - ETA: 1s - loss: 28.9426 - logits_profile_predictions_loss: 28.7336 - logcount_predictions_loss: 0.2091 253/257 [============================>.] - ETA: 1s - loss: 28.9384 - logits_profile_predictions_loss: 28.7292 - logcount_predictions_loss: 0.2092 254/257 [============================>.] - ETA: 0s - loss: 28.9318 - logits_profile_predictions_loss: 28.7227 - logcount_predictions_loss: 0.2091 255/257 [============================>.] - ETA: 0s - loss: 28.9380 - logits_profile_predictions_loss: 28.7287 - logcount_predictions_loss: 0.2093 256/257 [============================>.] - ETA: 0s - loss: 28.9404 - logits_profile_predictions_loss: 28.7312 - logcount_predictions_loss: 0.2092 257/257 [==============================] - ETA: 0s - loss: 28.9343 - logits_profile_predictions_loss: 28.7252 - logcount_predictions_loss: 0.2091 Epoch 9: val_loss did not improve from 31.66853  257/257 [==============================] - 84s 327ms/step - loss: 28.9343 - logits_profile_predictions_loss: 28.7252 - logcount_predictions_loss: 0.2091 - val_loss: 32.1161 - val_logits_profile_predictions_loss: 31.9347 - val_logcount_predictions_loss: 0.1814 Epoch 10/50 1/257 [..............................] - ETA: 1:18 - loss: 30.5717 - logits_profile_predictions_loss: 30.3053 - logcount_predictions_loss: 0.2664 2/257 [..............................] - ETA: 1:15 - loss: 31.5624 - logits_profile_predictions_loss: 31.3166 - logcount_predictions_loss: 0.2458 3/257 [..............................] - ETA: 1:15 - loss: 31.1703 - logits_profile_predictions_loss: 30.9458 - logcount_predictions_loss: 0.2244 4/257 [..............................] - ETA: 1:14 - loss: 31.2301 - logits_profile_predictions_loss: 31.0084 - logcount_predictions_loss: 0.2217 5/257 [..............................] - ETA: 1:14 - loss: 31.2354 - logits_profile_predictions_loss: 31.0107 - logcount_predictions_loss: 0.2247 6/257 [..............................] - ETA: 1:14 - loss: 31.2207 - logits_profile_predictions_loss: 31.0033 - logcount_predictions_loss: 0.2174 7/257 [..............................] - ETA: 1:14 - loss: 31.0555 - logits_profile_predictions_loss: 30.8425 - logcount_predictions_loss: 0.2130 8/257 [..............................] - ETA: 1:13 - loss: 30.4602 - logits_profile_predictions_loss: 30.2504 - logcount_predictions_loss: 0.2099 9/257 [>.............................] - ETA: 1:13 - loss: 30.6562 - logits_profile_predictions_loss: 30.4426 - logcount_predictions_loss: 0.2135 10/257 [>.............................] - ETA: 1:13 - loss: 30.3279 - logits_profile_predictions_loss: 30.1177 - logcount_predictions_loss: 0.2102 11/257 [>.............................] - ETA: 1:12 - loss: 30.0614 - logits_profile_predictions_loss: 29.8545 - logcount_predictions_loss: 0.2068 12/257 [>.............................] - ETA: 1:12 - loss: 30.0862 - logits_profile_predictions_loss: 29.8813 - logcount_predictions_loss: 0.2049 13/257 [>.............................] - ETA: 1:12 - loss: 29.9660 - logits_profile_predictions_loss: 29.7629 - logcount_predictions_loss: 0.2031 14/257 [>.............................] - ETA: 1:12 - loss: 29.8103 - logits_profile_predictions_loss: 29.6015 - logcount_predictions_loss: 0.2088 15/257 [>.............................] - ETA: 1:11 - loss: 29.4799 - logits_profile_predictions_loss: 29.2726 - logcount_predictions_loss: 0.2073 16/257 [>.............................] - ETA: 1:11 - loss: 29.3865 - logits_profile_predictions_loss: 29.1796 - logcount_predictions_loss: 0.2069 17/257 [>.............................] - ETA: 1:11 - loss: 29.2109 - logits_profile_predictions_loss: 29.0072 - logcount_predictions_loss: 0.2036 18/257 [=>............................] - ETA: 1:11 - loss: 29.1880 - logits_profile_predictions_loss: 28.9830 - logcount_predictions_loss: 0.2050 19/257 [=>............................] - ETA: 1:10 - loss: 29.0756 - logits_profile_predictions_loss: 28.8695 - logcount_predictions_loss: 0.2061 20/257 [=>............................] - ETA: 1:10 - loss: 28.9747 - logits_profile_predictions_loss: 28.7672 - logcount_predictions_loss: 0.2075 21/257 [=>............................] - ETA: 1:10 - loss: 28.9745 - logits_profile_predictions_loss: 28.7654 - logcount_predictions_loss: 0.2091 22/257 [=>............................] - ETA: 1:09 - loss: 28.9102 - logits_profile_predictions_loss: 28.7039 - logcount_predictions_loss: 0.2064 23/257 [=>............................] - ETA: 1:09 - loss: 28.9293 - logits_profile_predictions_loss: 28.7248 - logcount_predictions_loss: 0.2046 24/257 [=>............................] - ETA: 1:09 - loss: 28.9458 - logits_profile_predictions_loss: 28.7416 - logcount_predictions_loss: 0.2042 25/257 [=>............................] - ETA: 1:09 - loss: 29.0162 - logits_profile_predictions_loss: 28.8141 - logcount_predictions_loss: 0.2022 26/257 [==>...........................] - ETA: 1:08 - loss: 28.9561 - logits_profile_predictions_loss: 28.7545 - logcount_predictions_loss: 0.2016 27/257 [==>...........................] - ETA: 1:08 - loss: 28.7818 - logits_profile_predictions_loss: 28.5824 - logcount_predictions_loss: 0.1994 28/257 [==>...........................] - ETA: 1:08 - loss: 28.7836 - logits_profile_predictions_loss: 28.5850 - logcount_predictions_loss: 0.1986 29/257 [==>...........................] - ETA: 1:07 - loss: 28.7083 - logits_profile_predictions_loss: 28.5124 - logcount_predictions_loss: 0.1959 30/257 [==>...........................] - ETA: 1:07 - loss: 28.7077 - logits_profile_predictions_loss: 28.5109 - logcount_predictions_loss: 0.1967 31/257 [==>...........................] - ETA: 1:07 - loss: 28.7092 - logits_profile_predictions_loss: 28.5123 - logcount_predictions_loss: 0.1970 32/257 [==>...........................] - ETA: 1:07 - loss: 28.5700 - logits_profile_predictions_loss: 28.3732 - logcount_predictions_loss: 0.1968 33/257 [==>...........................] - ETA: 1:06 - loss: 28.6297 - logits_profile_predictions_loss: 28.4334 - logcount_predictions_loss: 0.1963 34/257 [==>...........................] - ETA: 1:06 - loss: 28.6636 - logits_profile_predictions_loss: 28.4679 - logcount_predictions_loss: 0.1957 35/257 [===>..........................] - ETA: 1:06 - loss: 28.5336 - logits_profile_predictions_loss: 28.3374 - logcount_predictions_loss: 0.1962 36/257 [===>..........................] - ETA: 1:05 - loss: 28.5247 - logits_profile_predictions_loss: 28.3289 - logcount_predictions_loss: 0.1958 37/257 [===>..........................] - ETA: 1:05 - loss: 28.4730 - logits_profile_predictions_loss: 28.2773 - logcount_predictions_loss: 0.1958 38/257 [===>..........................] - ETA: 1:05 - loss: 28.4734 - logits_profile_predictions_loss: 28.2787 - logcount_predictions_loss: 0.1947 39/257 [===>..........................] - ETA: 1:04 - loss: 28.4325 - logits_profile_predictions_loss: 28.2383 - logcount_predictions_loss: 0.1942 40/257 [===>..........................] - ETA: 1:04 - loss: 28.4284 - logits_profile_predictions_loss: 28.2334 - logcount_predictions_loss: 0.1950 41/257 [===>..........................] - ETA: 1:04 - loss: 28.4285 - logits_profile_predictions_loss: 28.2345 - logcount_predictions_loss: 0.1940 42/257 [===>..........................] - ETA: 1:04 - loss: 28.4548 - logits_profile_predictions_loss: 28.2612 - logcount_predictions_loss: 0.1936 43/257 [====>.........................] - ETA: 1:03 - loss: 28.4553 - logits_profile_predictions_loss: 28.2633 - logcount_predictions_loss: 0.1920 44/257 [====>.........................] - ETA: 1:03 - loss: 28.4051 - logits_profile_predictions_loss: 28.2136 - logcount_predictions_loss: 0.1915 45/257 [====>.........................] - ETA: 1:03 - loss: 28.5069 - logits_profile_predictions_loss: 28.3122 - logcount_predictions_loss: 0.1947 46/257 [====>.........................] - ETA: 1:02 - loss: 28.6041 - logits_profile_predictions_loss: 28.4105 - logcount_predictions_loss: 0.1937 47/257 [====>.........................] - ETA: 1:02 - loss: 28.5677 - logits_profile_predictions_loss: 28.3724 - logcount_predictions_loss: 0.1953 48/257 [====>.........................] - ETA: 1:02 - loss: 28.5434 - logits_profile_predictions_loss: 28.3481 - logcount_predictions_loss: 0.1953 49/257 [====>.........................] - ETA: 1:02 - loss: 28.6114 - logits_profile_predictions_loss: 28.4154 - logcount_predictions_loss: 0.1960 50/257 [====>.........................] - ETA: 1:01 - loss: 28.5770 - logits_profile_predictions_loss: 28.3789 - logcount_predictions_loss: 0.1981 51/257 [====>.........................] - ETA: 1:01 - loss: 28.5492 - logits_profile_predictions_loss: 28.3510 - logcount_predictions_loss: 0.1982 52/257 [=====>........................] - ETA: 1:01 - loss: 28.5037 - logits_profile_predictions_loss: 28.3044 - logcount_predictions_loss: 0.1993 53/257 [=====>........................] - ETA: 1:00 - loss: 28.4800 - logits_profile_predictions_loss: 28.2817 - logcount_predictions_loss: 0.1982 54/257 [=====>........................] - ETA: 1:00 - loss: 28.4211 - logits_profile_predictions_loss: 28.2223 - logcount_predictions_loss: 0.1988 55/257 [=====>........................] - ETA: 1:00 - loss: 28.3877 - logits_profile_predictions_loss: 28.1880 - logcount_predictions_loss: 0.1996 56/257 [=====>........................] - ETA: 1:00 - loss: 28.4265 - logits_profile_predictions_loss: 28.2262 - logcount_predictions_loss: 0.2004 57/257 [=====>........................] - ETA: 59s - loss: 28.4552 - logits_profile_predictions_loss: 28.2530 - logcount_predictions_loss: 0.2022  58/257 [=====>........................] - ETA: 59s - loss: 28.4865 - logits_profile_predictions_loss: 28.2845 - logcount_predictions_loss: 0.2020 59/257 [=====>........................] - ETA: 59s - loss: 28.4891 - logits_profile_predictions_loss: 28.2878 - logcount_predictions_loss: 0.2013 60/257 [======>.......................] - ETA: 58s - loss: 28.5388 - logits_profile_predictions_loss: 28.3378 - logcount_predictions_loss: 0.2011 61/257 [======>.......................] - ETA: 58s - loss: 28.4938 - logits_profile_predictions_loss: 28.2919 - logcount_predictions_loss: 0.2019 62/257 [======>.......................] - ETA: 58s - loss: 28.5197 - logits_profile_predictions_loss: 28.3182 - logcount_predictions_loss: 0.2015 63/257 [======>.......................] - ETA: 58s - loss: 28.4797 - logits_profile_predictions_loss: 28.2787 - logcount_predictions_loss: 0.2010 64/257 [======>.......................] - ETA: 57s - loss: 28.4341 - logits_profile_predictions_loss: 28.2325 - logcount_predictions_loss: 0.2015 65/257 [======>.......................] - ETA: 57s - loss: 28.4261 - logits_profile_predictions_loss: 28.2246 - logcount_predictions_loss: 0.2015 66/257 [======>.......................] - ETA: 57s - loss: 28.4141 - logits_profile_predictions_loss: 28.2134 - logcount_predictions_loss: 0.2007 67/257 [======>.......................] - ETA: 56s - loss: 28.3952 - logits_profile_predictions_loss: 28.1948 - logcount_predictions_loss: 0.2004 68/257 [======>.......................] - ETA: 56s - loss: 28.4037 - logits_profile_predictions_loss: 28.2038 - logcount_predictions_loss: 0.1999 69/257 [=======>......................] - ETA: 56s - loss: 28.3650 - logits_profile_predictions_loss: 28.1650 - logcount_predictions_loss: 0.2000 70/257 [=======>......................] - ETA: 56s - loss: 28.3278 - logits_profile_predictions_loss: 28.1277 - logcount_predictions_loss: 0.2001 71/257 [=======>......................] - ETA: 55s - loss: 28.3188 - logits_profile_predictions_loss: 28.1194 - logcount_predictions_loss: 0.1994 72/257 [=======>......................] - ETA: 55s - loss: 28.2767 - logits_profile_predictions_loss: 28.0776 - logcount_predictions_loss: 0.1991 73/257 [=======>......................] - ETA: 55s - loss: 28.3645 - logits_profile_predictions_loss: 28.1647 - logcount_predictions_loss: 0.1998 74/257 [=======>......................] - ETA: 54s - loss: 28.4057 - logits_profile_predictions_loss: 28.2059 - logcount_predictions_loss: 0.1998 75/257 [=======>......................] - ETA: 54s - loss: 28.4368 - logits_profile_predictions_loss: 28.2358 - logcount_predictions_loss: 0.2009 76/257 [=======>......................] - ETA: 54s - loss: 28.4026 - logits_profile_predictions_loss: 28.2015 - logcount_predictions_loss: 0.2011 77/257 [=======>......................] - ETA: 53s - loss: 28.4431 - logits_profile_predictions_loss: 28.2417 - logcount_predictions_loss: 0.2013 78/257 [========>.....................] - ETA: 53s - loss: 28.4211 - logits_profile_predictions_loss: 28.2203 - logcount_predictions_loss: 0.2007 79/257 [========>.....................] - ETA: 53s - loss: 28.4056 - logits_profile_predictions_loss: 28.2058 - logcount_predictions_loss: 0.1998 80/257 [========>.....................] - ETA: 53s - loss: 28.4154 - logits_profile_predictions_loss: 28.2153 - logcount_predictions_loss: 0.2001 81/257 [========>.....................] - ETA: 52s - loss: 28.4442 - logits_profile_predictions_loss: 28.2447 - logcount_predictions_loss: 0.1995 82/257 [========>.....................] - ETA: 52s - loss: 28.4512 - logits_profile_predictions_loss: 28.2507 - logcount_predictions_loss: 0.2004 83/257 [========>.....................] - ETA: 52s - loss: 28.4681 - logits_profile_predictions_loss: 28.2676 - logcount_predictions_loss: 0.2005 84/257 [========>.....................] - ETA: 51s - loss: 28.4344 - logits_profile_predictions_loss: 28.2337 - logcount_predictions_loss: 0.2008 85/257 [========>.....................] - ETA: 51s - loss: 28.4459 - logits_profile_predictions_loss: 28.2445 - logcount_predictions_loss: 0.2015 86/257 [=========>....................] - ETA: 51s - loss: 28.4204 - logits_profile_predictions_loss: 28.2184 - logcount_predictions_loss: 0.2020 87/257 [=========>....................] - ETA: 51s - loss: 28.4498 - logits_profile_predictions_loss: 28.2480 - logcount_predictions_loss: 0.2019 88/257 [=========>....................] - ETA: 50s - loss: 28.4260 - logits_profile_predictions_loss: 28.2243 - logcount_predictions_loss: 0.2017 89/257 [=========>....................] - ETA: 50s - loss: 28.4639 - logits_profile_predictions_loss: 28.2622 - logcount_predictions_loss: 0.2018 90/257 [=========>....................] - ETA: 50s - loss: 28.4695 - logits_profile_predictions_loss: 28.2674 - logcount_predictions_loss: 0.2021 91/257 [=========>....................] - ETA: 49s - loss: 28.4735 - logits_profile_predictions_loss: 28.2708 - logcount_predictions_loss: 0.2027 92/257 [=========>....................] - ETA: 49s - loss: 28.4923 - logits_profile_predictions_loss: 28.2892 - logcount_predictions_loss: 0.2031 93/257 [=========>....................] - ETA: 49s - loss: 28.4890 - logits_profile_predictions_loss: 28.2858 - logcount_predictions_loss: 0.2032 94/257 [=========>....................] - ETA: 48s - loss: 28.4825 - logits_profile_predictions_loss: 28.2799 - logcount_predictions_loss: 0.2027 95/257 [==========>...................] - ETA: 48s - loss: 28.4693 - logits_profile_predictions_loss: 28.2664 - logcount_predictions_loss: 0.2029 96/257 [==========>...................] - ETA: 48s - loss: 28.5007 - logits_profile_predictions_loss: 28.2970 - logcount_predictions_loss: 0.2037 97/257 [==========>...................] - ETA: 48s - loss: 28.4848 - logits_profile_predictions_loss: 28.2808 - logcount_predictions_loss: 0.2040 98/257 [==========>...................] - ETA: 47s - loss: 28.5213 - logits_profile_predictions_loss: 28.3173 - logcount_predictions_loss: 0.2040 99/257 [==========>...................] - ETA: 47s - loss: 28.5268 - logits_profile_predictions_loss: 28.3225 - logcount_predictions_loss: 0.2043 100/257 [==========>...................] - ETA: 47s - loss: 28.5201 - logits_profile_predictions_loss: 28.3161 - logcount_predictions_loss: 0.2040 101/257 [==========>...................] - ETA: 46s - loss: 28.5069 - logits_profile_predictions_loss: 28.3025 - logcount_predictions_loss: 0.2044 102/257 [==========>...................] - ETA: 46s - loss: 28.4936 - logits_profile_predictions_loss: 28.2881 - logcount_predictions_loss: 0.2055 103/257 [===========>..................] - ETA: 46s - loss: 28.4849 - logits_profile_predictions_loss: 28.2801 - logcount_predictions_loss: 0.2048 104/257 [===========>..................] - ETA: 46s - loss: 28.5088 - logits_profile_predictions_loss: 28.3041 - logcount_predictions_loss: 0.2047 105/257 [===========>..................] - ETA: 45s - loss: 28.5041 - logits_profile_predictions_loss: 28.2984 - logcount_predictions_loss: 0.2057 106/257 [===========>..................] - ETA: 45s - loss: 28.5077 - logits_profile_predictions_loss: 28.3023 - logcount_predictions_loss: 0.2054 107/257 [===========>..................] - ETA: 45s - loss: 28.4904 - logits_profile_predictions_loss: 28.2850 - logcount_predictions_loss: 0.2054 108/257 [===========>..................] - ETA: 44s - loss: 28.4694 - logits_profile_predictions_loss: 28.2642 - logcount_predictions_loss: 0.2052 109/257 [===========>..................] - ETA: 44s - loss: 28.4254 - logits_profile_predictions_loss: 28.2206 - logcount_predictions_loss: 0.2048 110/257 [===========>..................] - ETA: 44s - loss: 28.4419 - logits_profile_predictions_loss: 28.2359 - logcount_predictions_loss: 0.2060 111/257 [===========>..................] - ETA: 43s - loss: 28.4174 - logits_profile_predictions_loss: 28.2112 - logcount_predictions_loss: 0.2062 112/257 [============>.................] - ETA: 43s - loss: 28.3751 - logits_profile_predictions_loss: 28.1691 - logcount_predictions_loss: 0.2060 113/257 [============>.................] - ETA: 43s - loss: 28.3595 - logits_profile_predictions_loss: 28.1537 - logcount_predictions_loss: 0.2058 114/257 [============>.................] - ETA: 43s - loss: 28.3554 - logits_profile_predictions_loss: 28.1497 - logcount_predictions_loss: 0.2057 115/257 [============>.................] - ETA: 42s - loss: 28.3494 - logits_profile_predictions_loss: 28.1436 - logcount_predictions_loss: 0.2058 116/257 [============>.................] - ETA: 42s - loss: 28.3708 - logits_profile_predictions_loss: 28.1645 - logcount_predictions_loss: 0.2063 117/257 [============>.................] - ETA: 42s - loss: 28.3731 - logits_profile_predictions_loss: 28.1674 - logcount_predictions_loss: 0.2057 118/257 [============>.................] - ETA: 41s - loss: 28.3536 - logits_profile_predictions_loss: 28.1484 - logcount_predictions_loss: 0.2052 119/257 [============>.................] - ETA: 41s - loss: 28.3533 - logits_profile_predictions_loss: 28.1481 - logcount_predictions_loss: 0.2052 120/257 [=============>................] - ETA: 41s - loss: 28.3571 - logits_profile_predictions_loss: 28.1522 - logcount_predictions_loss: 0.2049 121/257 [=============>................] - ETA: 40s - loss: 28.3825 - logits_profile_predictions_loss: 28.1777 - logcount_predictions_loss: 0.2048 122/257 [=============>................] - ETA: 40s - loss: 28.3775 - logits_profile_predictions_loss: 28.1727 - logcount_predictions_loss: 0.2048 123/257 [=============>................] - ETA: 40s - loss: 28.3825 - logits_profile_predictions_loss: 28.1777 - logcount_predictions_loss: 0.2048 124/257 [=============>................] - ETA: 40s - loss: 28.3736 - logits_profile_predictions_loss: 28.1686 - logcount_predictions_loss: 0.2049 125/257 [=============>................] - ETA: 39s - loss: 28.3506 - logits_profile_predictions_loss: 28.1463 - logcount_predictions_loss: 0.2043 126/257 [=============>................] - ETA: 39s - loss: 28.3559 - logits_profile_predictions_loss: 28.1514 - logcount_predictions_loss: 0.2045 127/257 [=============>................] - ETA: 39s - loss: 28.3416 - logits_profile_predictions_loss: 28.1375 - logcount_predictions_loss: 0.2041 128/257 [=============>................] - ETA: 38s - loss: 28.3398 - logits_profile_predictions_loss: 28.1362 - logcount_predictions_loss: 0.2036 129/257 [==============>...............] - ETA: 38s - loss: 28.3233 - logits_profile_predictions_loss: 28.1200 - logcount_predictions_loss: 0.2033 130/257 [==============>...............] - ETA: 38s - loss: 28.3075 - logits_profile_predictions_loss: 28.1045 - logcount_predictions_loss: 0.2030 131/257 [==============>...............] - ETA: 38s - loss: 28.2983 - logits_profile_predictions_loss: 28.0953 - logcount_predictions_loss: 0.2030 132/257 [==============>...............] - ETA: 37s - loss: 28.2982 - logits_profile_predictions_loss: 28.0955 - logcount_predictions_loss: 0.2027 133/257 [==============>...............] - ETA: 37s - loss: 28.3420 - logits_profile_predictions_loss: 28.1387 - logcount_predictions_loss: 0.2033 134/257 [==============>...............] - ETA: 37s - loss: 28.3443 - logits_profile_predictions_loss: 28.1408 - logcount_predictions_loss: 0.2035 135/257 [==============>...............] - ETA: 36s - loss: 28.3276 - logits_profile_predictions_loss: 28.1236 - logcount_predictions_loss: 0.2039 136/257 [==============>...............] - ETA: 36s - loss: 28.3264 - logits_profile_predictions_loss: 28.1232 - logcount_predictions_loss: 0.2033 137/257 [==============>...............] - ETA: 36s - loss: 28.3453 - logits_profile_predictions_loss: 28.1419 - logcount_predictions_loss: 0.2033 138/257 [===============>..............] - ETA: 35s - loss: 28.3484 - logits_profile_predictions_loss: 28.1453 - logcount_predictions_loss: 0.2030 139/257 [===============>..............] - ETA: 35s - loss: 28.3703 - logits_profile_predictions_loss: 28.1677 - logcount_predictions_loss: 0.2026 140/257 [===============>..............] - ETA: 35s - loss: 28.3537 - logits_profile_predictions_loss: 28.1515 - logcount_predictions_loss: 0.2022 141/257 [===============>..............] - ETA: 35s - loss: 28.3583 - logits_profile_predictions_loss: 28.1560 - logcount_predictions_loss: 0.2023 142/257 [===============>..............] - ETA: 34s - loss: 28.3700 - logits_profile_predictions_loss: 28.1671 - logcount_predictions_loss: 0.2028 143/257 [===============>..............] - ETA: 34s - loss: 28.3575 - logits_profile_predictions_loss: 28.1550 - logcount_predictions_loss: 0.2025 144/257 [===============>..............] - ETA: 34s - loss: 28.3553 - logits_profile_predictions_loss: 28.1531 - logcount_predictions_loss: 0.2021 145/257 [===============>..............] - ETA: 33s - loss: 28.3596 - logits_profile_predictions_loss: 28.1576 - logcount_predictions_loss: 0.2019 146/257 [================>.............] - ETA: 33s - loss: 28.3528 - logits_profile_predictions_loss: 28.1507 - logcount_predictions_loss: 0.2021 147/257 [================>.............] - ETA: 33s - loss: 28.3649 - logits_profile_predictions_loss: 28.1626 - logcount_predictions_loss: 0.2023 148/257 [================>.............] - ETA: 32s - loss: 28.3671 - logits_profile_predictions_loss: 28.1650 - logcount_predictions_loss: 0.2021 149/257 [================>.............] - ETA: 32s - loss: 28.3858 - logits_profile_predictions_loss: 28.1832 - logcount_predictions_loss: 0.2025 150/257 [================>.............] - ETA: 32s - loss: 28.3697 - logits_profile_predictions_loss: 28.1676 - logcount_predictions_loss: 0.2020 151/257 [================>.............] - ETA: 32s - loss: 28.3867 - logits_profile_predictions_loss: 28.1846 - logcount_predictions_loss: 0.2022 152/257 [================>.............] - ETA: 31s - loss: 28.3873 - logits_profile_predictions_loss: 28.1851 - logcount_predictions_loss: 0.2021 153/257 [================>.............] - ETA: 31s - loss: 28.4039 - logits_profile_predictions_loss: 28.2019 - logcount_predictions_loss: 0.2020 154/257 [================>.............] - ETA: 31s - loss: 28.4112 - logits_profile_predictions_loss: 28.2090 - logcount_predictions_loss: 0.2021 155/257 [=================>............] - ETA: 30s - loss: 28.4327 - logits_profile_predictions_loss: 28.2303 - logcount_predictions_loss: 0.2023 156/257 [=================>............] - ETA: 30s - loss: 28.4151 - logits_profile_predictions_loss: 28.2127 - logcount_predictions_loss: 0.2024 157/257 [=================>............] - ETA: 30s - loss: 28.3884 - 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- ETA: 28s - loss: 28.3991 - logits_profile_predictions_loss: 28.1951 - logcount_predictions_loss: 0.2040 165/257 [==================>...........] - ETA: 27s - loss: 28.3752 - logits_profile_predictions_loss: 28.1713 - logcount_predictions_loss: 0.2039 166/257 [==================>...........] - ETA: 27s - loss: 28.3813 - logits_profile_predictions_loss: 28.1778 - logcount_predictions_loss: 0.2035 167/257 [==================>...........] - ETA: 27s - loss: 28.3950 - logits_profile_predictions_loss: 28.1914 - logcount_predictions_loss: 0.2036 168/257 [==================>...........] - ETA: 26s - loss: 28.4196 - logits_profile_predictions_loss: 28.2155 - logcount_predictions_loss: 0.2040 169/257 [==================>...........] - ETA: 26s - loss: 28.4276 - logits_profile_predictions_loss: 28.2236 - logcount_predictions_loss: 0.2041 170/257 [==================>...........] - ETA: 26s - loss: 28.4007 - logits_profile_predictions_loss: 28.1960 - logcount_predictions_loss: 0.2047 171/257 [==================>...........] - ETA: 26s - loss: 28.4026 - logits_profile_predictions_loss: 28.1975 - logcount_predictions_loss: 0.2052 172/257 [===================>..........] - ETA: 25s - loss: 28.4074 - logits_profile_predictions_loss: 28.2027 - logcount_predictions_loss: 0.2048 173/257 [===================>..........] - ETA: 25s - loss: 28.4526 - logits_profile_predictions_loss: 28.2472 - logcount_predictions_loss: 0.2054 174/257 [===================>..........] - ETA: 25s - loss: 28.4617 - logits_profile_predictions_loss: 28.2565 - logcount_predictions_loss: 0.2053 175/257 [===================>..........] - ETA: 24s - loss: 28.4543 - logits_profile_predictions_loss: 28.2491 - logcount_predictions_loss: 0.2052 176/257 [===================>..........] - ETA: 24s - loss: 28.4457 - logits_profile_predictions_loss: 28.2406 - logcount_predictions_loss: 0.2052 177/257 [===================>..........] - ETA: 24s - loss: 28.4496 - logits_profile_predictions_loss: 28.2443 - logcount_predictions_loss: 0.2053 178/257 [===================>..........] - ETA: 23s - loss: 28.4572 - logits_profile_predictions_loss: 28.2516 - logcount_predictions_loss: 0.2057 179/257 [===================>..........] - ETA: 23s - loss: 28.4545 - logits_profile_predictions_loss: 28.2487 - logcount_predictions_loss: 0.2058 180/257 [====================>.........] - ETA: 23s - loss: 28.4628 - logits_profile_predictions_loss: 28.2570 - logcount_predictions_loss: 0.2057 181/257 [====================>.........] - ETA: 23s - loss: 28.4698 - logits_profile_predictions_loss: 28.2641 - logcount_predictions_loss: 0.2057 182/257 [====================>.........] - ETA: 22s - loss: 28.4756 - logits_profile_predictions_loss: 28.2702 - logcount_predictions_loss: 0.2055 183/257 [====================>.........] - ETA: 22s - loss: 28.4837 - logits_profile_predictions_loss: 28.2778 - logcount_predictions_loss: 0.2058 184/257 [====================>.........] - ETA: 22s - loss: 28.4976 - 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- ETA: 20s - loss: 28.4826 - logits_profile_predictions_loss: 28.2777 - logcount_predictions_loss: 0.2049 192/257 [=====================>........] - ETA: 19s - loss: 28.5073 - logits_profile_predictions_loss: 28.3022 - logcount_predictions_loss: 0.2051 193/257 [=====================>........] - ETA: 19s - loss: 28.5065 - logits_profile_predictions_loss: 28.3015 - logcount_predictions_loss: 0.2050 194/257 [=====================>........] - ETA: 19s - loss: 28.5199 - logits_profile_predictions_loss: 28.3148 - logcount_predictions_loss: 0.2051 195/257 [=====================>........] - ETA: 18s - loss: 28.5166 - logits_profile_predictions_loss: 28.3108 - logcount_predictions_loss: 0.2059 196/257 [=====================>........] - ETA: 18s - loss: 28.5099 - logits_profile_predictions_loss: 28.3038 - logcount_predictions_loss: 0.2061 197/257 [=====================>........] - ETA: 18s - loss: 28.4985 - logits_profile_predictions_loss: 28.2926 - logcount_predictions_loss: 0.2059 198/257 [======================>.......] - ETA: 17s - loss: 28.5072 - logits_profile_predictions_loss: 28.3011 - logcount_predictions_loss: 0.2061 199/257 [======================>.......] - ETA: 17s - loss: 28.5101 - logits_profile_predictions_loss: 28.3043 - logcount_predictions_loss: 0.2059 200/257 [======================>.......] - ETA: 17s - loss: 28.5217 - logits_profile_predictions_loss: 28.3156 - logcount_predictions_loss: 0.2061 201/257 [======================>.......] - ETA: 17s - loss: 28.5202 - logits_profile_predictions_loss: 28.3138 - logcount_predictions_loss: 0.2064 202/257 [======================>.......] - ETA: 16s - loss: 28.5199 - logits_profile_predictions_loss: 28.3132 - logcount_predictions_loss: 0.2067 203/257 [======================>.......] - ETA: 16s - loss: 28.5055 - logits_profile_predictions_loss: 28.2983 - logcount_predictions_loss: 0.2072 204/257 [======================>.......] - ETA: 16s - loss: 28.5171 - logits_profile_predictions_loss: 28.3100 - logcount_predictions_loss: 0.2072 205/257 [======================>.......] - ETA: 15s - loss: 28.5163 - logits_profile_predictions_loss: 28.3086 - logcount_predictions_loss: 0.2078 206/257 [=======================>......] - ETA: 15s - loss: 28.5175 - logits_profile_predictions_loss: 28.3098 - logcount_predictions_loss: 0.2077 207/257 [=======================>......] - ETA: 15s - loss: 28.5256 - logits_profile_predictions_loss: 28.3179 - logcount_predictions_loss: 0.2077 208/257 [=======================>......] - ETA: 14s - loss: 28.5367 - logits_profile_predictions_loss: 28.3288 - logcount_predictions_loss: 0.2079 209/257 [=======================>......] - ETA: 14s - loss: 28.5267 - logits_profile_predictions_loss: 28.3191 - logcount_predictions_loss: 0.2076 210/257 [=======================>......] - ETA: 14s - loss: 28.5295 - logits_profile_predictions_loss: 28.3218 - logcount_predictions_loss: 0.2078 211/257 [=======================>......] - ETA: 14s - loss: 28.5304 - logits_profile_predictions_loss: 28.3228 - logcount_predictions_loss: 0.2076 212/257 [=======================>......] - ETA: 13s - loss: 28.5257 - logits_profile_predictions_loss: 28.3179 - logcount_predictions_loss: 0.2079 213/257 [=======================>......] - ETA: 13s - loss: 28.5306 - logits_profile_predictions_loss: 28.3227 - logcount_predictions_loss: 0.2079 214/257 [=======================>......] - ETA: 13s - loss: 28.5294 - logits_profile_predictions_loss: 28.3217 - logcount_predictions_loss: 0.2077 215/257 [========================>.....] - ETA: 12s - loss: 28.5220 - logits_profile_predictions_loss: 28.3141 - logcount_predictions_loss: 0.2079 216/257 [========================>.....] - ETA: 12s - loss: 28.5281 - logits_profile_predictions_loss: 28.3205 - logcount_predictions_loss: 0.2076 217/257 [========================>.....] - ETA: 12s - loss: 28.5297 - logits_profile_predictions_loss: 28.3225 - logcount_predictions_loss: 0.2072 218/257 [========================>.....] - ETA: 11s - loss: 28.5385 - logits_profile_predictions_loss: 28.3316 - logcount_predictions_loss: 0.2069 219/257 [========================>.....] - ETA: 11s - loss: 28.5311 - logits_profile_predictions_loss: 28.3239 - logcount_predictions_loss: 0.2072 220/257 [========================>.....] - ETA: 11s - loss: 28.5168 - logits_profile_predictions_loss: 28.3099 - logcount_predictions_loss: 0.2069 221/257 [========================>.....] - ETA: 10s - loss: 28.5324 - logits_profile_predictions_loss: 28.3258 - logcount_predictions_loss: 0.2067 222/257 [========================>.....] - ETA: 10s - loss: 28.5362 - logits_profile_predictions_loss: 28.3295 - logcount_predictions_loss: 0.2068 223/257 [=========================>....] - ETA: 10s - loss: 28.5127 - logits_profile_predictions_loss: 28.3059 - logcount_predictions_loss: 0.2068 224/257 [=========================>....] - ETA: 10s - loss: 28.5071 - logits_profile_predictions_loss: 28.3003 - logcount_predictions_loss: 0.2069 225/257 [=========================>....] - ETA: 9s - loss: 28.4963 - logits_profile_predictions_loss: 28.2893 - logcount_predictions_loss: 0.2070  226/257 [=========================>....] - ETA: 9s - loss: 28.4916 - logits_profile_predictions_loss: 28.2845 - logcount_predictions_loss: 0.2071 227/257 [=========================>....] - ETA: 9s - loss: 28.4766 - logits_profile_predictions_loss: 28.2695 - logcount_predictions_loss: 0.2072 228/257 [=========================>....] - ETA: 8s - loss: 28.4886 - logits_profile_predictions_loss: 28.2814 - logcount_predictions_loss: 0.2072 229/257 [=========================>....] - ETA: 8s - loss: 28.4908 - logits_profile_predictions_loss: 28.2839 - logcount_predictions_loss: 0.2069 230/257 [=========================>....] - ETA: 8s - loss: 28.5048 - logits_profile_predictions_loss: 28.2976 - logcount_predictions_loss: 0.2071 231/257 [=========================>....] - ETA: 7s - loss: 28.4950 - logits_profile_predictions_loss: 28.2880 - logcount_predictions_loss: 0.2070 232/257 [==========================>...] - ETA: 7s - loss: 28.4961 - logits_profile_predictions_loss: 28.2893 - logcount_predictions_loss: 0.2068 233/257 [==========================>...] - ETA: 7s - loss: 28.5044 - logits_profile_predictions_loss: 28.2972 - logcount_predictions_loss: 0.2072 234/257 [==========================>...] - ETA: 7s - loss: 28.5193 - logits_profile_predictions_loss: 28.3115 - logcount_predictions_loss: 0.2078 235/257 [==========================>...] - ETA: 6s - loss: 28.5206 - logits_profile_predictions_loss: 28.3129 - logcount_predictions_loss: 0.2077 236/257 [==========================>...] - ETA: 6s - loss: 28.5314 - logits_profile_predictions_loss: 28.3233 - logcount_predictions_loss: 0.2081 237/257 [==========================>...] - ETA: 6s - loss: 28.5401 - logits_profile_predictions_loss: 28.3322 - logcount_predictions_loss: 0.2080 238/257 [==========================>...] - ETA: 5s - loss: 28.5249 - logits_profile_predictions_loss: 28.3166 - logcount_predictions_loss: 0.2083 239/257 [==========================>...] - ETA: 5s - loss: 28.5364 - logits_profile_predictions_loss: 28.3280 - logcount_predictions_loss: 0.2084 240/257 [===========================>..] - ETA: 5s - loss: 28.5426 - logits_profile_predictions_loss: 28.3341 - logcount_predictions_loss: 0.2085 241/257 [===========================>..] - ETA: 4s - loss: 28.5407 - logits_profile_predictions_loss: 28.3323 - logcount_predictions_loss: 0.2084 242/257 [===========================>..] - ETA: 4s - loss: 28.5318 - logits_profile_predictions_loss: 28.3236 - logcount_predictions_loss: 0.2082 243/257 [===========================>..] - ETA: 4s - loss: 28.5268 - logits_profile_predictions_loss: 28.3186 - logcount_predictions_loss: 0.2082 244/257 [===========================>..] - ETA: 3s - loss: 28.5302 - logits_profile_predictions_loss: 28.3223 - logcount_predictions_loss: 0.2080 245/257 [===========================>..] - ETA: 3s - loss: 28.5346 - logits_profile_predictions_loss: 28.3266 - logcount_predictions_loss: 0.2080 246/257 [===========================>..] - ETA: 3s - loss: 28.5242 - logits_profile_predictions_loss: 28.3163 - logcount_predictions_loss: 0.2079 247/257 [===========================>..] - ETA: 3s - loss: 28.5217 - logits_profile_predictions_loss: 28.3137 - logcount_predictions_loss: 0.2080 248/257 [===========================>..] - ETA: 2s - loss: 28.5354 - logits_profile_predictions_loss: 28.3271 - logcount_predictions_loss: 0.2083 249/257 [============================>.] - ETA: 2s - loss: 28.5198 - logits_profile_predictions_loss: 28.3116 - logcount_predictions_loss: 0.2082 250/257 [============================>.] - ETA: 2s - loss: 28.5352 - logits_profile_predictions_loss: 28.3267 - logcount_predictions_loss: 0.2085 251/257 [============================>.] - ETA: 1s - loss: 28.5423 - logits_profile_predictions_loss: 28.3337 - logcount_predictions_loss: 0.2086 252/257 [============================>.] - ETA: 1s - loss: 28.5417 - logits_profile_predictions_loss: 28.3333 - logcount_predictions_loss: 0.2084 253/257 [============================>.] - ETA: 1s - loss: 28.5477 - logits_profile_predictions_loss: 28.3396 - logcount_predictions_loss: 0.2081 254/257 [============================>.] - ETA: 0s - loss: 28.5421 - logits_profile_predictions_loss: 28.3344 - logcount_predictions_loss: 0.2078 255/257 [============================>.] - ETA: 0s - loss: 28.5510 - logits_profile_predictions_loss: 28.3433 - logcount_predictions_loss: 0.2078 256/257 [============================>.] - ETA: 0s - loss: 28.5466 - logits_profile_predictions_loss: 28.3388 - logcount_predictions_loss: 0.2078 257/257 [==============================] - ETA: 0s - loss: 28.5451 - logits_profile_predictions_loss: 28.3370 - logcount_predictions_loss: 0.2081 Epoch 10: val_loss did not improve from 31.66853 Restoring model weights from the end of the best epoch: 5.  257/257 [==============================] - 84s 326ms/step - loss: 28.5451 - logits_profile_predictions_loss: 28.3370 - logcount_predictions_loss: 0.2081 - val_loss: 32.5376 - val_logits_profile_predictions_loss: 32.3457 - val_logcount_predictions_loss: 0.1919 Epoch 10: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(4144, 10) 0/65 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 1/65 [..............................] - ETA: 11s 2/65 [..............................] - ETA: 6s  3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 7s 101ms/step 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 6s 101ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 6s 101ms/step 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 6s 101ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 7s 101ms/step 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 6s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 7s 101ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 5s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 [============================>.] - ETA: 0s 65/65 [==============================] - ETA: 0s 65/65 [==============================] - 7s 102ms/step 1/65 [..............................] - ETA: 0s 2/65 [..............................] - ETA: 6s 3/65 [>.............................] - ETA: 6s 4/65 [>.............................] - ETA: 6s 5/65 [=>............................] - ETA: 6s 6/65 [=>............................] - ETA: 6s 7/65 [==>...........................] - ETA: 5s 8/65 [==>...........................] - ETA: 5s 9/65 [===>..........................] - ETA: 5s 10/65 [===>..........................] - ETA: 5s 11/65 [====>.........................] - ETA: 5s 12/65 [====>.........................] - ETA: 5s 13/65 [=====>........................] - ETA: 5s 14/65 [=====>........................] - ETA: 5s 15/65 [=====>........................] - ETA: 5s 16/65 [======>.......................] - ETA: 4s 17/65 [======>.......................] - ETA: 4s 18/65 [=======>......................] - ETA: 4s 19/65 [=======>......................] - ETA: 4s 20/65 [========>.....................] - ETA: 4s 21/65 [========>.....................] - ETA: 4s 22/65 [=========>....................] - ETA: 4s 23/65 [=========>....................] - ETA: 4s 24/65 [==========>...................] - ETA: 4s 25/65 [==========>...................] - ETA: 4s 26/65 [===========>..................] - ETA: 3s 27/65 [===========>..................] - ETA: 3s 28/65 [===========>..................] - ETA: 3s 29/65 [============>.................] - ETA: 3s 30/65 [============>.................] - ETA: 3s 31/65 [=============>................] - ETA: 3s 32/65 [=============>................] - ETA: 3s 33/65 [==============>...............] - ETA: 3s 34/65 [==============>...............] - ETA: 3s 35/65 [===============>..............] - ETA: 3s 36/65 [===============>..............] - ETA: 2s 37/65 [================>.............] - ETA: 2s 38/65 [================>.............] - ETA: 2s 39/65 [=================>............] - ETA: 2s 40/65 [=================>............] - ETA: 2s 41/65 [=================>............] - ETA: 2s 42/65 [==================>...........] - ETA: 2s 43/65 [==================>...........] - ETA: 2s 44/65 [===================>..........] - ETA: 2s 45/65 [===================>..........] - ETA: 2s 46/65 [====================>.........] - ETA: 1s 47/65 [====================>.........] - ETA: 1s 48/65 [=====================>........] - ETA: 1s 49/65 [=====================>........] - ETA: 1s 50/65 [======================>.......] - ETA: 1s 51/65 [======================>.......] - ETA: 1s 52/65 [=======================>......] - ETA: 1s 53/65 [=======================>......] - ETA: 1s 54/65 [=======================>......] - ETA: 1s 55/65 [========================>.....] - ETA: 1s 56/65 [========================>.....] - ETA: 0s 57/65 [=========================>....] - ETA: 0s 58/65 [=========================>....] - ETA: 0s 59/65 [==========================>...] - ETA: 0s 60/65 [==========================>...] - ETA: 0s 61/65 [===========================>..] - ETA: 0s 62/65 [===========================>..] - ETA: 0s 63/65 [============================>.] - ETA: 0s 64/65 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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 : (20522, 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 20522 Done 100 examples of 20522 Done 200 examples of 20522 Done 300 examples of 20522 Done 400 examples of 20522 Done 500 examples of 20522 Done 600 examples of 20522 Done 700 examples of 20522 Done 800 examples of 20522 Done 900 examples of 20522 Done 1000 examples of 20522 Done 1100 examples of 20522 Done 1200 examples of 20522 Done 1300 examples of 20522 Done 1400 examples of 20522 Done 1500 examples of 20522 Done 1600 examples of 20522 Done 1700 examples of 20522 Done 1800 examples of 20522 Done 1900 examples of 20522 Done 2000 examples of 20522 Done 2100 examples of 20522 Done 2200 examples of 20522 Done 2300 examples of 20522 Done 2400 examples of 20522 Done 2500 examples of 20522 Done 2600 examples 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