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: 49520 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: 23958 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 23958 Number of peaks input: 6367 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 6367 Number of non peaks input: 47916 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 47916 Number of non peaks input: 6367 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 6367 Number of peaks after removing outliers: 23955 Number of nonpeaks after removing outliers: 10466 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 1/328 [..............................] - ETA: 7:50 6/328 [..............................] - ETA: 3s  10/328 [..............................] - ETA: 3s 14/328 [>.............................] - ETA: 3s 18/328 [>.............................] - ETA: 3s 22/328 [=>............................] - ETA: 3s 26/328 [=>............................] - ETA: 3s 30/328 [=>............................] - ETA: 3s 34/328 [==>...........................] - ETA: 3s 38/328 [==>...........................] - ETA: 3s 42/328 [==>...........................] - ETA: 3s 46/328 [===>..........................] - ETA: 3s 50/328 [===>..........................] - ETA: 3s 54/328 [===>..........................] - ETA: 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[=========================>....] - ETA: 0s 289/328 [=========================>....] - ETA: 0s 293/328 [=========================>....] - ETA: 0s 297/328 [==========================>...] - ETA: 0s 301/328 [==========================>...] - ETA: 0s 305/328 [==========================>...] - ETA: 0s 309/328 [===========================>..] - ETA: 0s 313/328 [===========================>..] - ETA: 0s 317/328 [===========================>..] - ETA: 0s 321/328 [============================>.] - ETA: 0s 325/328 [============================>.] - ETA: 0s 328/328 [==============================] - ETA: 0s 328/328 [==============================] - 6s 13ms/step got the model loading peaks... got split:test for bed regions:(6367, 10) 0/100 Bias model pearsonr performance in peaks is: -0.14 {'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.endocardial.In/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:(21973, 10) loading nonpeaks... got split:train for bed regions:(9696, 10) loading peaks... got split:valid for bed regions:(1982, 10) loading nonpeaks... got split:valid for bed regions:(770, 10) Epoch 1/50 1/378 [..............................] - ETA: 39:48 - loss: 48.4397 - logits_profile_predictions_loss: 46.9209 - logcount_predictions_loss: 1.5189 2/378 [..............................] - ETA: 4:37 - loss: 258.1815 - logits_profile_predictions_loss: 44.8225 - logcount_predictions_loss: 213.3590 3/378 [..............................] - ETA: 4:36 - loss: 185.7785 - logits_profile_predictions_loss: 43.0792 - logcount_predictions_loss: 142.6992 4/378 [..............................] - ETA: 4:35 - loss: 151.5478 - logits_profile_predictions_loss: 44.1111 - logcount_predictions_loss: 107.4367 5/378 [..............................] - ETA: 4:34 - loss: 129.2463 - logits_profile_predictions_loss: 43.0287 - logcount_predictions_loss: 86.2176  6/378 [..............................] - ETA: 4:32 - loss: 114.7667 - logits_profile_predictions_loss: 42.6538 - logcount_predictions_loss: 72.1129 7/378 [..............................] - ETA: 4:32 - loss: 103.9286 - logits_profile_predictions_loss: 41.9358 - logcount_predictions_loss: 61.9928 8/378 [..............................] - ETA: 4:31 - loss: 96.1004 - logits_profile_predictions_loss: 41.6796 - logcount_predictions_loss: 54.4208  9/378 [..............................] - ETA: 4:30 - loss: 89.6884 - logits_profile_predictions_loss: 41.1940 - logcount_predictions_loss: 48.4945 10/378 [..............................] - ETA: 4:29 - loss: 85.2718 - logits_profile_predictions_loss: 41.4696 - logcount_predictions_loss: 43.8021 11/378 [..............................] - ETA: 4:29 - loss: 81.4674 - logits_profile_predictions_loss: 41.5077 - logcount_predictions_loss: 39.9597 12/378 [..............................] - ETA: 4:28 - loss: 78.5356 - logits_profile_predictions_loss: 41.7673 - logcount_predictions_loss: 36.7683 13/378 [>.............................] - ETA: 4:27 - loss: 75.9689 - logits_profile_predictions_loss: 41.9076 - logcount_predictions_loss: 34.0613 14/378 [>.............................] - ETA: 4:26 - loss: 73.8452 - logits_profile_predictions_loss: 42.0990 - logcount_predictions_loss: 31.7462 15/378 [>.............................] - ETA: 4:26 - loss: 71.6886 - logits_profile_predictions_loss: 41.9748 - logcount_predictions_loss: 29.7138 16/378 [>.............................] - ETA: 4:26 - loss: 69.8656 - logits_profile_predictions_loss: 41.9200 - logcount_predictions_loss: 27.9457 17/378 [>.............................] - ETA: 4:27 - loss: 68.1677 - logits_profile_predictions_loss: 41.7830 - logcount_predictions_loss: 26.3847 18/378 [>.............................] - ETA: 4:28 - loss: 66.5150 - logits_profile_predictions_loss: 41.5251 - logcount_predictions_loss: 24.9899 19/378 [>.............................] - ETA: 4:28 - loss: 65.1669 - logits_profile_predictions_loss: 41.4193 - logcount_predictions_loss: 23.7476 20/378 [>.............................] - ETA: 4:27 - loss: 64.0745 - logits_profile_predictions_loss: 41.4459 - logcount_predictions_loss: 22.6286 21/378 [>.............................] - ETA: 4:27 - loss: 63.1247 - logits_profile_predictions_loss: 41.5023 - logcount_predictions_loss: 21.6224 22/378 [>.............................] - ETA: 4:26 - loss: 62.2386 - logits_profile_predictions_loss: 41.5295 - logcount_predictions_loss: 20.7091 23/378 [>.............................] - ETA: 4:26 - loss: 61.7134 - logits_profile_predictions_loss: 41.8221 - logcount_predictions_loss: 19.8912 24/378 [>.............................] - ETA: 4:26 - loss: 60.9963 - logits_profile_predictions_loss: 41.8714 - logcount_predictions_loss: 19.1250 25/378 [>.............................] - ETA: 4:25 - loss: 60.3309 - logits_profile_predictions_loss: 41.9070 - logcount_predictions_loss: 18.4239 26/378 [=>............................] - ETA: 4:25 - loss: 59.7023 - logits_profile_predictions_loss: 41.9265 - logcount_predictions_loss: 17.7758 27/378 [=>............................] - ETA: 4:25 - loss: 59.3188 - logits_profile_predictions_loss: 42.1331 - logcount_predictions_loss: 17.1857 28/378 [=>............................] - ETA: 4:25 - loss: 58.7650 - logits_profile_predictions_loss: 42.1384 - logcount_predictions_loss: 16.6267 29/378 [=>............................] - ETA: 4:25 - loss: 58.1719 - logits_profile_predictions_loss: 42.0676 - logcount_predictions_loss: 16.1043 30/378 [=>............................] - ETA: 4:24 - loss: 57.6449 - logits_profile_predictions_loss: 42.0318 - logcount_predictions_loss: 15.6131 31/378 [=>............................] - ETA: 4:23 - loss: 57.2702 - logits_profile_predictions_loss: 42.1062 - logcount_predictions_loss: 15.1640 32/378 [=>............................] - ETA: 4:22 - loss: 56.6605 - logits_profile_predictions_loss: 41.9308 - logcount_predictions_loss: 14.7298 33/378 [=>............................] - ETA: 4:22 - loss: 56.2667 - logits_profile_predictions_loss: 41.9358 - logcount_predictions_loss: 14.3309 34/378 [=>............................] - ETA: 4:22 - loss: 55.9233 - logits_profile_predictions_loss: 41.9646 - logcount_predictions_loss: 13.9587 35/378 [=>............................] - ETA: 4:22 - loss: 55.5519 - logits_profile_predictions_loss: 41.9464 - logcount_predictions_loss: 13.6055 36/378 [=>............................] - ETA: 4:22 - loss: 55.2228 - logits_profile_predictions_loss: 41.9513 - logcount_predictions_loss: 13.2715 37/378 [=>............................] - ETA: 4:21 - loss: 54.9933 - logits_profile_predictions_loss: 42.0332 - logcount_predictions_loss: 12.9601 38/378 [==>...........................] - ETA: 4:20 - loss: 54.6638 - logits_profile_predictions_loss: 42.0052 - logcount_predictions_loss: 12.6586 39/378 [==>...........................] - ETA: 4:20 - loss: 54.4642 - logits_profile_predictions_loss: 42.0873 - logcount_predictions_loss: 12.3769 40/378 [==>...........................] - ETA: 4:19 - loss: 54.4133 - logits_profile_predictions_loss: 42.2973 - logcount_predictions_loss: 12.1160 41/378 [==>...........................] - ETA: 4:18 - loss: 54.2041 - logits_profile_predictions_loss: 42.3453 - logcount_predictions_loss: 11.8588 42/378 [==>...........................] - ETA: 4:17 - loss: 53.9358 - logits_profile_predictions_loss: 42.3235 - logcount_predictions_loss: 11.6123 43/378 [==>...........................] - ETA: 4:16 - loss: 53.9478 - logits_profile_predictions_loss: 42.5579 - logcount_predictions_loss: 11.3899 44/378 [==>...........................] - ETA: 4:15 - loss: 53.8385 - logits_profile_predictions_loss: 42.6638 - logcount_predictions_loss: 11.1747 45/378 [==>...........................] - ETA: 4:15 - loss: 53.6165 - logits_profile_predictions_loss: 42.6570 - logcount_predictions_loss: 10.9594 46/378 [==>...........................] - ETA: 4:15 - loss: 53.3748 - logits_profile_predictions_loss: 42.6210 - logcount_predictions_loss: 10.7537 47/378 [==>...........................] - ETA: 4:15 - loss: 53.1950 - logits_profile_predictions_loss: 42.6361 - logcount_predictions_loss: 10.5589 48/378 [==>...........................] - ETA: 4:15 - loss: 52.8166 - logits_profile_predictions_loss: 42.4560 - logcount_predictions_loss: 10.3606 49/378 [==>...........................] - ETA: 4:14 - loss: 52.5738 - logits_profile_predictions_loss: 42.3999 - logcount_predictions_loss: 10.1739 50/378 [==>...........................] - ETA: 4:13 - loss: 52.3417 - logits_profile_predictions_loss: 42.3426 - logcount_predictions_loss: 9.9991  51/378 [===>..........................] - ETA: 4:12 - loss: 52.0555 - logits_profile_predictions_loss: 42.2304 - logcount_predictions_loss: 9.8251 52/378 [===>..........................] - ETA: 4:11 - loss: 51.8702 - logits_profile_predictions_loss: 42.2056 - logcount_predictions_loss: 9.6647 53/378 [===>..........................] - ETA: 4:11 - loss: 51.6175 - logits_profile_predictions_loss: 42.1115 - logcount_predictions_loss: 9.5060 54/378 [===>..........................] - ETA: 4:10 - loss: 51.3286 - logits_profile_predictions_loss: 41.9796 - logcount_predictions_loss: 9.3490 55/378 [===>..........................] - ETA: 4:10 - loss: 51.1565 - logits_profile_predictions_loss: 41.9533 - logcount_predictions_loss: 9.2032 56/378 [===>..........................] - ETA: 4:09 - loss: 50.8877 - logits_profile_predictions_loss: 41.8292 - logcount_predictions_loss: 9.0585 57/378 [===>..........................] - ETA: 4:09 - loss: 50.7129 - logits_profile_predictions_loss: 41.7920 - logcount_predictions_loss: 8.9209 58/378 [===>..........................] - ETA: 4:08 - loss: 50.5918 - logits_profile_predictions_loss: 41.7992 - logcount_predictions_loss: 8.7926 59/378 [===>..........................] - ETA: 4:07 - loss: 50.4728 - logits_profile_predictions_loss: 41.8063 - logcount_predictions_loss: 8.6665 60/378 [===>..........................] - ETA: 4:07 - loss: 50.2725 - logits_profile_predictions_loss: 41.7294 - logcount_predictions_loss: 8.5431 61/378 [===>..........................] - ETA: 4:07 - loss: 50.2261 - logits_profile_predictions_loss: 41.7956 - logcount_predictions_loss: 8.4305 62/378 [===>..........................] - ETA: 4:06 - loss: 50.0225 - logits_profile_predictions_loss: 41.7078 - logcount_predictions_loss: 8.3147 63/378 [====>.........................] - ETA: 4:06 - loss: 50.0616 - logits_profile_predictions_loss: 41.8481 - logcount_predictions_loss: 8.2135 64/378 [====>.........................] - ETA: 4:05 - loss: 49.9959 - logits_profile_predictions_loss: 41.8851 - logcount_predictions_loss: 8.1109 65/378 [====>.........................] - ETA: 4:04 - loss: 49.9090 - logits_profile_predictions_loss: 41.9003 - logcount_predictions_loss: 8.0087 66/378 [====>.........................] - ETA: 4:03 - loss: 49.8723 - logits_profile_predictions_loss: 41.9586 - logcount_predictions_loss: 7.9137 67/378 [====>.........................] - ETA: 4:02 - loss: 49.8139 - logits_profile_predictions_loss: 41.9944 - logcount_predictions_loss: 7.8195 68/378 [====>.........................] - ETA: 4:02 - loss: 49.7102 - logits_profile_predictions_loss: 41.9834 - logcount_predictions_loss: 7.7268 69/378 [====>.........................] - ETA: 4:01 - loss: 49.5446 - logits_profile_predictions_loss: 41.9126 - logcount_predictions_loss: 7.6320 70/378 [====>.........................] - ETA: 4:00 - loss: 49.5088 - logits_profile_predictions_loss: 41.9621 - logcount_predictions_loss: 7.5466 71/378 [====>.........................] - ETA: 4:00 - loss: 49.4476 - logits_profile_predictions_loss: 41.9841 - logcount_predictions_loss: 7.4636 72/378 [====>.........................] - ETA: 3:59 - loss: 49.2885 - logits_profile_predictions_loss: 41.9118 - logcount_predictions_loss: 7.3767 73/378 [====>.........................] - ETA: 3:59 - loss: 49.1064 - logits_profile_predictions_loss: 41.8166 - logcount_predictions_loss: 7.2898 74/378 [====>.........................] - ETA: 3:58 - loss: 49.0112 - logits_profile_predictions_loss: 41.8004 - logcount_predictions_loss: 7.2108 75/378 [====>.........................] - ETA: 3:58 - loss: 48.9035 - logits_profile_predictions_loss: 41.7700 - logcount_predictions_loss: 7.1336 76/378 [=====>........................] - ETA: 3:57 - loss: 48.8611 - logits_profile_predictions_loss: 41.8009 - logcount_predictions_loss: 7.0603 77/378 [=====>........................] - ETA: 3:57 - loss: 48.7478 - logits_profile_predictions_loss: 41.7611 - logcount_predictions_loss: 6.9868 78/378 [=====>........................] - ETA: 3:56 - loss: 48.6114 - logits_profile_predictions_loss: 41.6982 - logcount_predictions_loss: 6.9132 79/378 [=====>........................] - ETA: 3:55 - loss: 48.5676 - logits_profile_predictions_loss: 41.7226 - logcount_predictions_loss: 6.8450 80/378 [=====>........................] - ETA: 3:55 - loss: 48.6039 - logits_profile_predictions_loss: 41.8182 - logcount_predictions_loss: 6.7857 81/378 [=====>........................] - ETA: 3:54 - loss: 48.5848 - logits_profile_predictions_loss: 41.8604 - logcount_predictions_loss: 6.7243 82/378 [=====>........................] - ETA: 3:53 - loss: 48.4865 - logits_profile_predictions_loss: 41.8267 - logcount_predictions_loss: 6.6598 83/378 [=====>........................] - ETA: 3:53 - loss: 48.4307 - logits_profile_predictions_loss: 41.8314 - logcount_predictions_loss: 6.5992 84/378 [=====>........................] - ETA: 3:52 - loss: 48.4041 - logits_profile_predictions_loss: 41.8647 - logcount_predictions_loss: 6.5394 85/378 [=====>........................] - ETA: 3:52 - loss: 48.3008 - logits_profile_predictions_loss: 41.8225 - logcount_predictions_loss: 6.4783 86/378 [=====>........................] - ETA: 3:51 - loss: 48.2460 - logits_profile_predictions_loss: 41.8271 - logcount_predictions_loss: 6.4190 87/378 [=====>........................] - ETA: 3:50 - loss: 48.2424 - logits_profile_predictions_loss: 41.8777 - logcount_predictions_loss: 6.3647 88/378 [=====>........................] - ETA: 3:50 - loss: 48.0665 - logits_profile_predictions_loss: 41.7640 - logcount_predictions_loss: 6.3025 89/378 [======>.......................] - ETA: 3:49 - loss: 47.9473 - logits_profile_predictions_loss: 41.7027 - logcount_predictions_loss: 6.2446 90/378 [======>.......................] - ETA: 3:48 - loss: 47.8492 - logits_profile_predictions_loss: 41.6602 - logcount_predictions_loss: 6.1890 91/378 [======>.......................] - ETA: 3:47 - loss: 47.7681 - logits_profile_predictions_loss: 41.6319 - logcount_predictions_loss: 6.1363 92/378 [======>.......................] - ETA: 3:46 - loss: 47.7312 - logits_profile_predictions_loss: 41.6431 - logcount_predictions_loss: 6.0881 93/378 [======>.......................] - ETA: 3:46 - loss: 47.6119 - logits_profile_predictions_loss: 41.5755 - logcount_predictions_loss: 6.0364 94/378 [======>.......................] - ETA: 3:45 - loss: 47.5554 - logits_profile_predictions_loss: 41.5675 - logcount_predictions_loss: 5.9879 95/378 [======>.......................] - ETA: 3:44 - loss: 47.5316 - logits_profile_predictions_loss: 41.5886 - logcount_predictions_loss: 5.9430 96/378 [======>.......................] - ETA: 3:43 - loss: 47.4313 - logits_profile_predictions_loss: 41.5382 - logcount_predictions_loss: 5.8931 97/378 [======>.......................] - ETA: 3:42 - loss: 47.4365 - logits_profile_predictions_loss: 41.5860 - logcount_predictions_loss: 5.8505 98/378 [======>.......................] - ETA: 3:42 - loss: 47.3633 - logits_profile_predictions_loss: 41.5587 - logcount_predictions_loss: 5.8046 99/378 [======>.......................] - ETA: 3:41 - loss: 47.2724 - logits_profile_predictions_loss: 41.5133 - logcount_predictions_loss: 5.7592 100/378 [======>.......................] - ETA: 3:40 - loss: 47.2611 - logits_profile_predictions_loss: 41.5422 - logcount_predictions_loss: 5.7189 101/378 [=======>......................] - ETA: 3:40 - loss: 47.2033 - logits_profile_predictions_loss: 41.5272 - logcount_predictions_loss: 5.6760 102/378 [=======>......................] - ETA: 3:39 - loss: 47.1812 - logits_profile_predictions_loss: 41.5437 - logcount_predictions_loss: 5.6375 103/378 [=======>......................] - ETA: 3:38 - loss: 47.1079 - logits_profile_predictions_loss: 41.5107 - logcount_predictions_loss: 5.5972 104/378 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0s - loss: 43.7611 - logits_profile_predictions_loss: 41.1499 - logcount_predictions_loss: 2.6112 Epoch 1: val_loss improved from inf to 43.44463, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 345s 898ms/step - loss: 43.7611 - logits_profile_predictions_loss: 41.1499 - logcount_predictions_loss: 2.6112 - val_loss: 43.4446 - val_logits_profile_predictions_loss: 41.9713 - val_logcount_predictions_loss: 1.4734 Epoch 2/50 1/378 [..............................] - ETA: 4:38 - loss: 47.9397 - logits_profile_predictions_loss: 46.0942 - logcount_predictions_loss: 1.8454 2/378 [..............................] - ETA: 4:31 - loss: 46.4538 - logits_profile_predictions_loss: 44.6650 - logcount_predictions_loss: 1.7889 3/378 [..............................] - ETA: 4:30 - loss: 44.1411 - logits_profile_predictions_loss: 42.4868 - 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ETA: 4:24 - loss: 42.3040 - logits_profile_predictions_loss: 40.8041 - logcount_predictions_loss: 1.4999 45/378 [==>...........................] - ETA: 4:24 - loss: 42.4525 - logits_profile_predictions_loss: 40.9418 - logcount_predictions_loss: 1.5107 46/378 [==>...........................] - ETA: 4:23 - loss: 42.3872 - logits_profile_predictions_loss: 40.8789 - logcount_predictions_loss: 1.5083 47/378 [==>...........................] - ETA: 4:23 - loss: 42.3225 - logits_profile_predictions_loss: 40.8171 - logcount_predictions_loss: 1.5054 48/378 [==>...........................] - ETA: 4:22 - loss: 42.4903 - logits_profile_predictions_loss: 40.9780 - logcount_predictions_loss: 1.5123 49/378 [==>...........................] - ETA: 4:21 - loss: 42.3843 - logits_profile_predictions_loss: 40.8798 - logcount_predictions_loss: 1.5045 50/378 [==>...........................] - ETA: 4:20 - loss: 42.2474 - logits_profile_predictions_loss: 40.7521 - logcount_predictions_loss: 1.4953 51/378 [===>..........................] - ETA: 4:20 - loss: 42.2362 - logits_profile_predictions_loss: 40.7418 - logcount_predictions_loss: 1.4944 52/378 [===>..........................] - ETA: 4:19 - loss: 42.1201 - logits_profile_predictions_loss: 40.6329 - logcount_predictions_loss: 1.4872 53/378 [===>..........................] - ETA: 4:19 - loss: 42.1415 - logits_profile_predictions_loss: 40.6540 - logcount_predictions_loss: 1.4875 54/378 [===>..........................] - ETA: 4:18 - loss: 42.1238 - logits_profile_predictions_loss: 40.6369 - logcount_predictions_loss: 1.4869 55/378 [===>..........................] - ETA: 4:18 - loss: 42.1389 - logits_profile_predictions_loss: 40.6538 - logcount_predictions_loss: 1.4852 56/378 [===>..........................] - ETA: 4:17 - loss: 42.0884 - logits_profile_predictions_loss: 40.6056 - logcount_predictions_loss: 1.4828 57/378 [===>..........................] - ETA: 4:17 - loss: 41.9321 - logits_profile_predictions_loss: 40.4573 - 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logits_profile_predictions_loss: 40.5197 - logcount_predictions_loss: 1.4740 65/378 [====>.........................] - ETA: 4:12 - loss: 41.9701 - logits_profile_predictions_loss: 40.4973 - logcount_predictions_loss: 1.4728 66/378 [====>.........................] - ETA: 4:11 - loss: 41.8896 - logits_profile_predictions_loss: 40.4217 - logcount_predictions_loss: 1.4678 67/378 [====>.........................] - ETA: 4:11 - loss: 41.8631 - logits_profile_predictions_loss: 40.3959 - logcount_predictions_loss: 1.4672 68/378 [====>.........................] - ETA: 4:10 - loss: 41.7679 - logits_profile_predictions_loss: 40.3069 - logcount_predictions_loss: 1.4610 69/378 [====>.........................] - ETA: 4:09 - loss: 41.7599 - logits_profile_predictions_loss: 40.3001 - logcount_predictions_loss: 1.4598 70/378 [====>.........................] - ETA: 4:09 - loss: 41.8227 - logits_profile_predictions_loss: 40.3582 - logcount_predictions_loss: 1.4645 71/378 [====>.........................] - ETA: 4:08 - loss: 41.7685 - logits_profile_predictions_loss: 40.3066 - logcount_predictions_loss: 1.4618 72/378 [====>.........................] - ETA: 4:07 - loss: 41.8271 - logits_profile_predictions_loss: 40.3624 - logcount_predictions_loss: 1.4647 73/378 [====>.........................] - ETA: 4:06 - loss: 41.8012 - logits_profile_predictions_loss: 40.3377 - logcount_predictions_loss: 1.4635 74/378 [====>.........................] - ETA: 4:06 - loss: 41.7161 - logits_profile_predictions_loss: 40.2573 - logcount_predictions_loss: 1.4588 75/378 [====>.........................] - ETA: 4:05 - loss: 41.7580 - logits_profile_predictions_loss: 40.2970 - logcount_predictions_loss: 1.4610 76/378 [=====>........................] - ETA: 4:04 - loss: 41.8076 - logits_profile_predictions_loss: 40.3443 - logcount_predictions_loss: 1.4633 77/378 [=====>........................] - ETA: 4:04 - loss: 41.9323 - logits_profile_predictions_loss: 40.4621 - logcount_predictions_loss: 1.4702 78/378 [=====>........................] - ETA: 4:03 - loss: 41.9634 - logits_profile_predictions_loss: 40.4916 - logcount_predictions_loss: 1.4718 79/378 [=====>........................] - ETA: 4:02 - loss: 42.0230 - logits_profile_predictions_loss: 40.5492 - logcount_predictions_loss: 1.4738 80/378 [=====>........................] - ETA: 4:01 - loss: 41.9910 - logits_profile_predictions_loss: 40.5194 - logcount_predictions_loss: 1.4716 81/378 [=====>........................] - ETA: 4:01 - loss: 42.0516 - logits_profile_predictions_loss: 40.5763 - logcount_predictions_loss: 1.4753 82/378 [=====>........................] - ETA: 4:00 - loss: 42.0838 - logits_profile_predictions_loss: 40.6059 - logcount_predictions_loss: 1.4779 83/378 [=====>........................] - ETA: 3:59 - loss: 42.0265 - logits_profile_predictions_loss: 40.5522 - logcount_predictions_loss: 1.4743 84/378 [=====>........................] - ETA: 3:59 - loss: 42.0400 - logits_profile_predictions_loss: 40.5649 - 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[=======>......................] - ETA: 3:45 - loss: 41.8744 - logits_profile_predictions_loss: 40.4049 - logcount_predictions_loss: 1.4695 106/378 [=======>......................] - ETA: 3:44 - loss: 41.9197 - logits_profile_predictions_loss: 40.4475 - logcount_predictions_loss: 1.4722 107/378 [=======>......................] - ETA: 3:43 - loss: 41.9217 - logits_profile_predictions_loss: 40.4487 - logcount_predictions_loss: 1.4731 108/378 [=======>......................] - ETA: 3:42 - loss: 41.9344 - logits_profile_predictions_loss: 40.4603 - logcount_predictions_loss: 1.4741 109/378 [=======>......................] - ETA: 3:41 - loss: 41.9779 - logits_profile_predictions_loss: 40.5011 - logcount_predictions_loss: 1.4769 110/378 [=======>......................] - ETA: 3:40 - loss: 42.0152 - logits_profile_predictions_loss: 40.5362 - logcount_predictions_loss: 1.4790 111/378 [=======>......................] - ETA: 3:40 - loss: 42.0368 - logits_profile_predictions_loss: 40.5564 - 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[=========================>....] - ETA: 38s - loss: 41.5889 - logits_profile_predictions_loss: 40.6987 - logcount_predictions_loss: 0.8901 333/378 [=========================>....] - ETA: 38s - loss: 41.5806 - logits_profile_predictions_loss: 40.6917 - logcount_predictions_loss: 0.8889 334/378 [=========================>....] - ETA: 37s - loss: 41.5810 - logits_profile_predictions_loss: 40.6935 - logcount_predictions_loss: 0.8875 335/378 [=========================>....] - ETA: 36s - loss: 41.5781 - logits_profile_predictions_loss: 40.6919 - logcount_predictions_loss: 0.8862 336/378 [=========================>....] - ETA: 35s - loss: 41.5745 - logits_profile_predictions_loss: 40.6893 - logcount_predictions_loss: 0.8851 337/378 [=========================>....] - ETA: 34s - loss: 41.5866 - logits_profile_predictions_loss: 40.7023 - logcount_predictions_loss: 0.8842 338/378 [=========================>....] - ETA: 33s - loss: 41.6004 - logits_profile_predictions_loss: 40.7176 - 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[===========================>..] - ETA: 16s - loss: 41.6058 - logits_profile_predictions_loss: 40.7479 - logcount_predictions_loss: 0.8579 360/378 [===========================>..] - ETA: 15s - loss: 41.6059 - logits_profile_predictions_loss: 40.7494 - logcount_predictions_loss: 0.8565 361/378 [===========================>..] - ETA: 14s - loss: 41.6078 - logits_profile_predictions_loss: 40.7525 - logcount_predictions_loss: 0.8553 362/378 [===========================>..] - ETA: 13s - loss: 41.6021 - logits_profile_predictions_loss: 40.7480 - logcount_predictions_loss: 0.8541 363/378 [===========================>..] - ETA: 12s - loss: 41.6148 - logits_profile_predictions_loss: 40.7618 - logcount_predictions_loss: 0.8531 364/378 [===========================>..] - ETA: 11s - loss: 41.6137 - logits_profile_predictions_loss: 40.7619 - logcount_predictions_loss: 0.8518 365/378 [===========================>..] - ETA: 11s - loss: 41.6207 - logits_profile_predictions_loss: 40.7698 - logcount_predictions_loss: 0.8508 366/378 [============================>.] - ETA: 10s - loss: 41.6141 - logits_profile_predictions_loss: 40.7642 - logcount_predictions_loss: 0.8499 367/378 [============================>.] - ETA: 9s - loss: 41.6228 - logits_profile_predictions_loss: 40.7740 - logcount_predictions_loss: 0.8488  368/378 [============================>.] - ETA: 8s - loss: 41.6148 - logits_profile_predictions_loss: 40.7675 - logcount_predictions_loss: 0.8473 369/378 [============================>.] - ETA: 7s - loss: 41.6068 - logits_profile_predictions_loss: 40.7607 - logcount_predictions_loss: 0.8460 370/378 [============================>.] - ETA: 6s - loss: 41.5939 - logits_profile_predictions_loss: 40.7490 - logcount_predictions_loss: 0.8449 371/378 [============================>.] - ETA: 5s - loss: 41.5902 - logits_profile_predictions_loss: 40.7464 - logcount_predictions_loss: 0.8439 372/378 [============================>.] - ETA: 5s - loss: 41.5994 - logits_profile_predictions_loss: 40.7568 - logcount_predictions_loss: 0.8427 373/378 [============================>.] - ETA: 4s - loss: 41.6048 - logits_profile_predictions_loss: 40.7630 - logcount_predictions_loss: 0.8418 374/378 [============================>.] - ETA: 3s - loss: 41.6169 - logits_profile_predictions_loss: 40.7765 - logcount_predictions_loss: 0.8404 375/378 [============================>.] - ETA: 2s - loss: 41.6091 - logits_profile_predictions_loss: 40.7695 - logcount_predictions_loss: 0.8396 376/378 [============================>.] - ETA: 1s - loss: 41.6050 - logits_profile_predictions_loss: 40.7664 - logcount_predictions_loss: 0.8386 377/378 [============================>.] - ETA: 0s - loss: 41.5932 - logits_profile_predictions_loss: 40.7556 - logcount_predictions_loss: 0.8376 378/378 [==============================] - ETA: 0s - loss: 41.5780 - logits_profile_predictions_loss: 40.7415 - logcount_predictions_loss: 0.8364 Epoch 2: val_loss improved from 43.44463 to 42.31345, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 341s 903ms/step - loss: 41.5780 - logits_profile_predictions_loss: 40.7415 - logcount_predictions_loss: 0.8364 - val_loss: 42.3134 - val_logits_profile_predictions_loss: 41.7493 - val_logcount_predictions_loss: 0.5641 Epoch 3/50 1/378 [..............................] - ETA: 4:34 - loss: 40.7612 - logits_profile_predictions_loss: 40.1330 - logcount_predictions_loss: 0.6282 2/378 [..............................] - ETA: 4:30 - loss: 39.7306 - logits_profile_predictions_loss: 39.1421 - logcount_predictions_loss: 0.5885 3/378 [..............................] - ETA: 4:29 - loss: 42.2593 - logits_profile_predictions_loss: 41.6199 - logcount_predictions_loss: 0.6394 4/378 [..............................] - ETA: 4:29 - loss: 41.9213 - logits_profile_predictions_loss: 41.3157 - 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[>.............................] - ETA: 4:33 - loss: 40.6007 - logits_profile_predictions_loss: 40.1415 - logcount_predictions_loss: 0.4592 26/378 [=>............................] - ETA: 4:33 - loss: 40.8498 - logits_profile_predictions_loss: 40.3912 - logcount_predictions_loss: 0.4586 27/378 [=>............................] - ETA: 4:32 - loss: 40.9186 - logits_profile_predictions_loss: 40.4635 - logcount_predictions_loss: 0.4550 28/378 [=>............................] - ETA: 4:31 - loss: 40.7962 - logits_profile_predictions_loss: 40.3400 - logcount_predictions_loss: 0.4561 29/378 [=>............................] - ETA: 4:29 - loss: 40.7578 - logits_profile_predictions_loss: 40.3041 - logcount_predictions_loss: 0.4537 30/378 [=>............................] - ETA: 4:29 - loss: 40.9621 - logits_profile_predictions_loss: 40.5082 - logcount_predictions_loss: 0.4539 31/378 [=>............................] - ETA: 4:29 - loss: 41.1133 - logits_profile_predictions_loss: 40.6627 - 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[===>..........................] - ETA: 4:19 - loss: 41.4943 - logits_profile_predictions_loss: 41.0582 - logcount_predictions_loss: 0.4361 53/378 [===>..........................] - ETA: 4:18 - loss: 41.6136 - logits_profile_predictions_loss: 41.1770 - logcount_predictions_loss: 0.4366 54/378 [===>..........................] - ETA: 4:18 - loss: 41.6698 - logits_profile_predictions_loss: 41.2331 - logcount_predictions_loss: 0.4367 55/378 [===>..........................] - ETA: 4:17 - loss: 41.6070 - logits_profile_predictions_loss: 41.1718 - logcount_predictions_loss: 0.4352 56/378 [===>..........................] - ETA: 4:16 - loss: 41.5316 - logits_profile_predictions_loss: 41.0996 - logcount_predictions_loss: 0.4321 57/378 [===>..........................] - ETA: 4:16 - loss: 41.6488 - logits_profile_predictions_loss: 41.2166 - logcount_predictions_loss: 0.4322 58/378 [===>..........................] - ETA: 4:16 - loss: 41.6105 - logits_profile_predictions_loss: 41.1783 - 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[=======>......................] - ETA: 3:42 - loss: 41.2978 - logits_profile_predictions_loss: 40.8903 - logcount_predictions_loss: 0.4075 107/378 [=======>......................] - ETA: 3:42 - loss: 41.2769 - logits_profile_predictions_loss: 40.8695 - logcount_predictions_loss: 0.4074 108/378 [=======>......................] - ETA: 3:41 - loss: 41.2910 - logits_profile_predictions_loss: 40.8829 - logcount_predictions_loss: 0.4080 109/378 [=======>......................] - ETA: 3:40 - loss: 41.2669 - logits_profile_predictions_loss: 40.8590 - logcount_predictions_loss: 0.4079 110/378 [=======>......................] - ETA: 3:39 - loss: 41.2322 - logits_profile_predictions_loss: 40.8254 - logcount_predictions_loss: 0.4068 111/378 [=======>......................] - ETA: 3:38 - loss: 41.2131 - logits_profile_predictions_loss: 40.8070 - logcount_predictions_loss: 0.4061 112/378 [=======>......................] - ETA: 3:37 - loss: 41.2273 - logits_profile_predictions_loss: 40.8215 - 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[=========>....................] - ETA: 3:26 - loss: 41.1091 - logits_profile_predictions_loss: 40.7067 - logcount_predictions_loss: 0.4024 127/378 [=========>....................] - ETA: 3:26 - loss: 41.0936 - logits_profile_predictions_loss: 40.6921 - logcount_predictions_loss: 0.4015 128/378 [=========>....................] - ETA: 3:25 - loss: 41.0780 - logits_profile_predictions_loss: 40.6775 - logcount_predictions_loss: 0.4005 129/378 [=========>....................] - ETA: 3:24 - loss: 41.0912 - logits_profile_predictions_loss: 40.6911 - logcount_predictions_loss: 0.4001 130/378 [=========>....................] - ETA: 3:23 - loss: 41.1084 - logits_profile_predictions_loss: 40.7083 - logcount_predictions_loss: 0.4001 131/378 [=========>....................] - ETA: 3:23 - loss: 41.1319 - logits_profile_predictions_loss: 40.7330 - logcount_predictions_loss: 0.3989 132/378 [=========>....................] - ETA: 3:22 - loss: 41.1152 - logits_profile_predictions_loss: 40.7165 - 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[==========>...................] - ETA: 3:11 - loss: 40.9869 - logits_profile_predictions_loss: 40.5906 - logcount_predictions_loss: 0.3963 147/378 [==========>...................] - ETA: 3:10 - loss: 41.0420 - logits_profile_predictions_loss: 40.6442 - logcount_predictions_loss: 0.3978 148/378 [==========>...................] - ETA: 3:09 - loss: 41.0130 - logits_profile_predictions_loss: 40.6154 - logcount_predictions_loss: 0.3976 149/378 [==========>...................] - ETA: 3:08 - loss: 41.0336 - logits_profile_predictions_loss: 40.6361 - logcount_predictions_loss: 0.3975 150/378 [==========>...................] - ETA: 3:08 - loss: 41.0465 - logits_profile_predictions_loss: 40.6479 - logcount_predictions_loss: 0.3986 151/378 [==========>...................] - ETA: 3:07 - loss: 40.9923 - logits_profile_predictions_loss: 40.5940 - logcount_predictions_loss: 0.3982 152/378 [===========>..................] - ETA: 3:06 - loss: 40.9909 - logits_profile_predictions_loss: 40.5923 - 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[===========================>..] - ETA: 15s - loss: 40.8497 - logits_profile_predictions_loss: 40.4574 - logcount_predictions_loss: 0.3923 361/378 [===========================>..] - ETA: 14s - loss: 40.8506 - logits_profile_predictions_loss: 40.4584 - logcount_predictions_loss: 0.3922 362/378 [===========================>..] - ETA: 13s - loss: 40.8447 - logits_profile_predictions_loss: 40.4526 - logcount_predictions_loss: 0.3921 363/378 [===========================>..] - ETA: 12s - loss: 40.8441 - logits_profile_predictions_loss: 40.4523 - logcount_predictions_loss: 0.3918 364/378 [===========================>..] - ETA: 11s - loss: 40.8552 - logits_profile_predictions_loss: 40.4633 - logcount_predictions_loss: 0.3918 365/378 [===========================>..] - ETA: 10s - loss: 40.8803 - logits_profile_predictions_loss: 40.4885 - logcount_predictions_loss: 0.3918 366/378 [============================>.] - ETA: 10s - loss: 40.8802 - logits_profile_predictions_loss: 40.4882 - logcount_predictions_loss: 0.3920 367/378 [============================>.] - ETA: 9s - loss: 40.8796 - logits_profile_predictions_loss: 40.4879 - logcount_predictions_loss: 0.3917  368/378 [============================>.] - ETA: 8s - loss: 40.8777 - logits_profile_predictions_loss: 40.4858 - logcount_predictions_loss: 0.3919 369/378 [============================>.] - ETA: 7s - loss: 40.8681 - logits_profile_predictions_loss: 40.4766 - logcount_predictions_loss: 0.3915 370/378 [============================>.] - ETA: 6s - loss: 40.8700 - logits_profile_predictions_loss: 40.4789 - logcount_predictions_loss: 0.3912 371/378 [============================>.] - ETA: 5s - loss: 40.8646 - logits_profile_predictions_loss: 40.4735 - logcount_predictions_loss: 0.3911 372/378 [============================>.] - ETA: 5s - loss: 40.8512 - logits_profile_predictions_loss: 40.4607 - logcount_predictions_loss: 0.3905 373/378 [============================>.] - ETA: 4s - loss: 40.8378 - logits_profile_predictions_loss: 40.4472 - logcount_predictions_loss: 0.3906 374/378 [============================>.] - ETA: 3s - loss: 40.8308 - logits_profile_predictions_loss: 40.4405 - logcount_predictions_loss: 0.3903 375/378 [============================>.] - ETA: 2s - loss: 40.8331 - logits_profile_predictions_loss: 40.4430 - logcount_predictions_loss: 0.3902 376/378 [============================>.] - ETA: 1s - loss: 40.8366 - logits_profile_predictions_loss: 40.4465 - logcount_predictions_loss: 0.3902 377/378 [============================>.] - ETA: 0s - loss: 40.8179 - logits_profile_predictions_loss: 40.4274 - logcount_predictions_loss: 0.3905 378/378 [==============================] - ETA: 0s - loss: 40.8121 - logits_profile_predictions_loss: 40.4217 - logcount_predictions_loss: 0.3904 Epoch 3: val_loss improved from 42.31345 to 41.84750, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 330s 873ms/step - loss: 40.8121 - logits_profile_predictions_loss: 40.4217 - logcount_predictions_loss: 0.3904 - val_loss: 41.8475 - val_logits_profile_predictions_loss: 41.5572 - val_logcount_predictions_loss: 0.2903 Epoch 4/50 1/378 [..............................] - ETA: 4:34 - loss: 41.1262 - logits_profile_predictions_loss: 40.8020 - logcount_predictions_loss: 0.3242 2/378 [..............................] - ETA: 4:29 - loss: 40.1866 - logits_profile_predictions_loss: 39.8171 - logcount_predictions_loss: 0.3695 3/378 [..............................] - ETA: 4:30 - loss: 40.2605 - logits_profile_predictions_loss: 39.8958 - logcount_predictions_loss: 0.3647 4/378 [..............................] - ETA: 4:29 - loss: 40.6134 - logits_profile_predictions_loss: 40.2677 - 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logits_profile_predictions_loss: 41.8140 - logcount_predictions_loss: 0.3176 12/378 [..............................] - ETA: 4:30 - loss: 42.1965 - logits_profile_predictions_loss: 41.8850 - logcount_predictions_loss: 0.3116 13/378 [>.............................] - ETA: 4:30 - loss: 42.0597 - logits_profile_predictions_loss: 41.7415 - logcount_predictions_loss: 0.3182 14/378 [>.............................] - ETA: 4:29 - loss: 41.5009 - logits_profile_predictions_loss: 41.1867 - logcount_predictions_loss: 0.3143 15/378 [>.............................] - ETA: 4:28 - loss: 41.5600 - logits_profile_predictions_loss: 41.2457 - logcount_predictions_loss: 0.3143 16/378 [>.............................] - ETA: 4:27 - loss: 41.2842 - logits_profile_predictions_loss: 40.9707 - logcount_predictions_loss: 0.3135 17/378 [>.............................] - ETA: 4:26 - loss: 41.6251 - logits_profile_predictions_loss: 41.3118 - logcount_predictions_loss: 0.3132 18/378 [>.............................] - 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[>.............................] - ETA: 4:24 - loss: 41.1356 - logits_profile_predictions_loss: 40.8212 - logcount_predictions_loss: 0.3144 26/378 [=>............................] - ETA: 4:24 - loss: 41.0514 - logits_profile_predictions_loss: 40.7390 - logcount_predictions_loss: 0.3125 27/378 [=>............................] - ETA: 4:24 - loss: 41.0565 - logits_profile_predictions_loss: 40.7463 - logcount_predictions_loss: 0.3103 28/378 [=>............................] - ETA: 4:25 - loss: 41.0910 - logits_profile_predictions_loss: 40.7824 - logcount_predictions_loss: 0.3086 29/378 [=>............................] - ETA: 4:24 - loss: 40.9915 - logits_profile_predictions_loss: 40.6806 - logcount_predictions_loss: 0.3109 30/378 [=>............................] - ETA: 4:23 - loss: 40.8770 - logits_profile_predictions_loss: 40.5638 - logcount_predictions_loss: 0.3132 31/378 [=>............................] - ETA: 4:23 - loss: 40.8178 - logits_profile_predictions_loss: 40.5039 - 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logits_profile_predictions_loss: 40.1924 - logcount_predictions_loss: 0.3312 39/378 [==>...........................] - ETA: 4:22 - loss: 40.4937 - logits_profile_predictions_loss: 40.1615 - logcount_predictions_loss: 0.3322 40/378 [==>...........................] - ETA: 4:22 - loss: 40.6105 - logits_profile_predictions_loss: 40.2781 - logcount_predictions_loss: 0.3324 41/378 [==>...........................] - ETA: 4:21 - loss: 40.5646 - logits_profile_predictions_loss: 40.2325 - logcount_predictions_loss: 0.3322 42/378 [==>...........................] - ETA: 4:21 - loss: 40.5674 - logits_profile_predictions_loss: 40.2355 - logcount_predictions_loss: 0.3319 43/378 [==>...........................] - ETA: 4:21 - loss: 40.4843 - logits_profile_predictions_loss: 40.1516 - logcount_predictions_loss: 0.3327 44/378 [==>...........................] - ETA: 4:21 - loss: 40.5264 - logits_profile_predictions_loss: 40.1922 - logcount_predictions_loss: 0.3342 45/378 [==>...........................] - ETA: 4:20 - loss: 40.5866 - logits_profile_predictions_loss: 40.2503 - logcount_predictions_loss: 0.3363 46/378 [==>...........................] - ETA: 4:19 - loss: 40.6441 - logits_profile_predictions_loss: 40.3082 - logcount_predictions_loss: 0.3359 47/378 [==>...........................] - ETA: 4:19 - loss: 40.5187 - logits_profile_predictions_loss: 40.1829 - logcount_predictions_loss: 0.3357 48/378 [==>...........................] - ETA: 4:18 - loss: 40.5050 - logits_profile_predictions_loss: 40.1655 - logcount_predictions_loss: 0.3394 49/378 [==>...........................] - ETA: 4:18 - loss: 40.5260 - logits_profile_predictions_loss: 40.1870 - logcount_predictions_loss: 0.3390 50/378 [==>...........................] - ETA: 4:17 - loss: 40.4439 - logits_profile_predictions_loss: 40.1051 - logcount_predictions_loss: 0.3388 51/378 [===>..........................] - ETA: 4:16 - loss: 40.4464 - logits_profile_predictions_loss: 40.1084 - logcount_predictions_loss: 0.3381 52/378 [===>..........................] - ETA: 4:16 - loss: 40.3820 - logits_profile_predictions_loss: 40.0442 - logcount_predictions_loss: 0.3378 53/378 [===>..........................] - ETA: 4:16 - loss: 40.3410 - logits_profile_predictions_loss: 40.0033 - logcount_predictions_loss: 0.3376 54/378 [===>..........................] - ETA: 4:16 - loss: 40.3859 - logits_profile_predictions_loss: 40.0468 - logcount_predictions_loss: 0.3391 55/378 [===>..........................] - ETA: 4:15 - loss: 40.3319 - logits_profile_predictions_loss: 39.9932 - logcount_predictions_loss: 0.3387 56/378 [===>..........................] - ETA: 4:15 - loss: 40.3119 - logits_profile_predictions_loss: 39.9757 - logcount_predictions_loss: 0.3362 57/378 [===>..........................] - ETA: 4:14 - loss: 40.2681 - logits_profile_predictions_loss: 39.9334 - logcount_predictions_loss: 0.3348 58/378 [===>..........................] - ETA: 4:13 - loss: 40.2683 - logits_profile_predictions_loss: 39.9336 - logcount_predictions_loss: 0.3347 59/378 [===>..........................] - ETA: 4:13 - loss: 40.2958 - logits_profile_predictions_loss: 39.9594 - logcount_predictions_loss: 0.3364 60/378 [===>..........................] - ETA: 4:12 - loss: 40.1640 - logits_profile_predictions_loss: 39.8274 - logcount_predictions_loss: 0.3366 61/378 [===>..........................] - ETA: 4:11 - loss: 40.0536 - logits_profile_predictions_loss: 39.7177 - logcount_predictions_loss: 0.3359 62/378 [===>..........................] - ETA: 4:11 - loss: 39.9972 - logits_profile_predictions_loss: 39.6613 - logcount_predictions_loss: 0.3360 63/378 [====>.........................] - ETA: 4:10 - loss: 39.9736 - logits_profile_predictions_loss: 39.6365 - logcount_predictions_loss: 0.3371 64/378 [====>.........................] - ETA: 4:09 - loss: 39.9564 - logits_profile_predictions_loss: 39.6194 - logcount_predictions_loss: 0.3371 65/378 [====>.........................] - ETA: 4:09 - loss: 39.8587 - 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[=====>........................] - ETA: 4:00 - loss: 39.7058 - logits_profile_predictions_loss: 39.3614 - logcount_predictions_loss: 0.3444 80/378 [=====>........................] - ETA: 3:59 - loss: 39.7306 - logits_profile_predictions_loss: 39.3852 - logcount_predictions_loss: 0.3454 81/378 [=====>........................] - ETA: 3:59 - loss: 39.7739 - logits_profile_predictions_loss: 39.4272 - logcount_predictions_loss: 0.3467 82/378 [=====>........................] - ETA: 3:59 - loss: 39.7947 - logits_profile_predictions_loss: 39.4445 - logcount_predictions_loss: 0.3502 83/378 [=====>........................] - ETA: 3:58 - loss: 39.8039 - logits_profile_predictions_loss: 39.4518 - logcount_predictions_loss: 0.3522 84/378 [=====>........................] - ETA: 3:57 - loss: 39.7595 - logits_profile_predictions_loss: 39.4061 - logcount_predictions_loss: 0.3534 85/378 [=====>........................] - ETA: 3:57 - loss: 39.8340 - logits_profile_predictions_loss: 39.4807 - logcount_predictions_loss: 0.3534 86/378 [=====>........................] - ETA: 3:56 - loss: 39.8395 - logits_profile_predictions_loss: 39.4844 - logcount_predictions_loss: 0.3551 87/378 [=====>........................] - ETA: 3:55 - loss: 39.8310 - logits_profile_predictions_loss: 39.4739 - logcount_predictions_loss: 0.3571 88/378 [=====>........................] - ETA: 3:54 - loss: 39.8292 - logits_profile_predictions_loss: 39.4697 - logcount_predictions_loss: 0.3596 89/378 [======>.......................] - ETA: 3:54 - loss: 39.8459 - logits_profile_predictions_loss: 39.4846 - logcount_predictions_loss: 0.3614 90/378 [======>.......................] - ETA: 3:53 - loss: 39.8370 - logits_profile_predictions_loss: 39.4760 - logcount_predictions_loss: 0.3611 91/378 [======>.......................] - ETA: 3:52 - loss: 39.8368 - logits_profile_predictions_loss: 39.4757 - logcount_predictions_loss: 0.3611 92/378 [======>.......................] - ETA: 3:51 - loss: 39.8473 - logits_profile_predictions_loss: 39.4871 - logcount_predictions_loss: 0.3603 93/378 [======>.......................] - ETA: 3:51 - loss: 39.9245 - logits_profile_predictions_loss: 39.5646 - logcount_predictions_loss: 0.3599 94/378 [======>.......................] - ETA: 3:50 - loss: 39.8745 - logits_profile_predictions_loss: 39.5138 - logcount_predictions_loss: 0.3607 95/378 [======>.......................] - ETA: 3:49 - loss: 39.8549 - logits_profile_predictions_loss: 39.4948 - logcount_predictions_loss: 0.3601 96/378 [======>.......................] - ETA: 3:49 - loss: 39.8491 - logits_profile_predictions_loss: 39.4890 - logcount_predictions_loss: 0.3601 97/378 [======>.......................] - ETA: 3:48 - loss: 39.9068 - logits_profile_predictions_loss: 39.5457 - logcount_predictions_loss: 0.3612 98/378 [======>.......................] - ETA: 3:47 - loss: 39.9844 - logits_profile_predictions_loss: 39.6215 - logcount_predictions_loss: 0.3629 99/378 [======>.......................] - ETA: 3:46 - loss: 40.0452 - logits_profile_predictions_loss: 39.6810 - logcount_predictions_loss: 0.3643 100/378 [======>.......................] - ETA: 3:46 - loss: 40.0241 - logits_profile_predictions_loss: 39.6599 - logcount_predictions_loss: 0.3642 101/378 [=======>......................] - ETA: 3:45 - loss: 40.0441 - logits_profile_predictions_loss: 39.6799 - logcount_predictions_loss: 0.3643 102/378 [=======>......................] - ETA: 3:44 - loss: 39.9839 - logits_profile_predictions_loss: 39.6196 - logcount_predictions_loss: 0.3643 103/378 [=======>......................] - ETA: 3:44 - loss: 40.0046 - logits_profile_predictions_loss: 39.6411 - logcount_predictions_loss: 0.3635 104/378 [=======>......................] - ETA: 3:43 - loss: 39.9678 - logits_profile_predictions_loss: 39.6045 - logcount_predictions_loss: 0.3633 105/378 [=======>......................] - ETA: 3:42 - loss: 39.9917 - logits_profile_predictions_loss: 39.6287 - logcount_predictions_loss: 0.3630 106/378 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[===========================>..] - ETA: 15s - loss: 40.5376 - logits_profile_predictions_loss: 40.1850 - logcount_predictions_loss: 0.3525 361/378 [===========================>..] - ETA: 14s - loss: 40.5327 - logits_profile_predictions_loss: 40.1804 - logcount_predictions_loss: 0.3522 362/378 [===========================>..] - ETA: 13s - loss: 40.5326 - logits_profile_predictions_loss: 40.1807 - logcount_predictions_loss: 0.3519 363/378 [===========================>..] - ETA: 12s - loss: 40.5277 - logits_profile_predictions_loss: 40.1758 - logcount_predictions_loss: 0.3519 364/378 [===========================>..] - ETA: 11s - loss: 40.5337 - logits_profile_predictions_loss: 40.1818 - logcount_predictions_loss: 0.3519 365/378 [===========================>..] - ETA: 10s - loss: 40.5308 - logits_profile_predictions_loss: 40.1792 - logcount_predictions_loss: 0.3517 366/378 [============================>.] - ETA: 10s - loss: 40.5434 - logits_profile_predictions_loss: 40.1919 - 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logits_profile_predictions_loss: 40.2036 - logcount_predictions_loss: 0.3517 374/378 [============================>.] - ETA: 3s - loss: 40.5532 - logits_profile_predictions_loss: 40.2015 - logcount_predictions_loss: 0.3517 375/378 [============================>.] - ETA: 2s - loss: 40.5563 - logits_profile_predictions_loss: 40.2045 - logcount_predictions_loss: 0.3518 376/378 [============================>.] - ETA: 1s - loss: 40.5505 - logits_profile_predictions_loss: 40.1987 - logcount_predictions_loss: 0.3517 377/378 [============================>.] - ETA: 0s - loss: 40.5410 - logits_profile_predictions_loss: 40.1894 - logcount_predictions_loss: 0.3516 378/378 [==============================] - ETA: 0s - loss: 40.5297 - logits_profile_predictions_loss: 40.1781 - logcount_predictions_loss: 0.3516 Epoch 4: val_loss improved from 41.84750 to 41.79272, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 339s 898ms/step - loss: 40.5297 - logits_profile_predictions_loss: 40.1781 - logcount_predictions_loss: 0.3516 - val_loss: 41.7927 - val_logits_profile_predictions_loss: 41.5230 - val_logcount_predictions_loss: 0.2697 Epoch 5/50 1/378 [..............................] - ETA: 4:33 - loss: 45.1203 - logits_profile_predictions_loss: 44.8258 - logcount_predictions_loss: 0.2945 2/378 [..............................] - ETA: 4:29 - loss: 39.3447 - logits_profile_predictions_loss: 39.0520 - logcount_predictions_loss: 0.2927 3/378 [..............................] - ETA: 4:30 - loss: 38.8258 - logits_profile_predictions_loss: 38.5191 - logcount_predictions_loss: 0.3067 4/378 [..............................] - ETA: 4:30 - loss: 38.9605 - logits_profile_predictions_loss: 38.6459 - 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[>.............................] - ETA: 4:26 - loss: 39.2875 - logits_profile_predictions_loss: 38.9655 - logcount_predictions_loss: 0.3219 26/378 [=>............................] - ETA: 4:26 - loss: 39.2240 - logits_profile_predictions_loss: 38.9063 - logcount_predictions_loss: 0.3177 27/378 [=>............................] - ETA: 4:26 - loss: 38.9389 - logits_profile_predictions_loss: 38.6230 - logcount_predictions_loss: 0.3158 28/378 [=>............................] - ETA: 4:26 - loss: 39.0569 - logits_profile_predictions_loss: 38.7358 - logcount_predictions_loss: 0.3211 29/378 [=>............................] - ETA: 4:26 - loss: 38.9945 - logits_profile_predictions_loss: 38.6760 - logcount_predictions_loss: 0.3185 30/378 [=>............................] - ETA: 4:26 - loss: 38.8830 - logits_profile_predictions_loss: 38.5621 - logcount_predictions_loss: 0.3208 31/378 [=>............................] - ETA: 4:26 - loss: 38.9201 - logits_profile_predictions_loss: 38.5990 - logcount_predictions_loss: 0.3211 32/378 [=>............................] - ETA: 4:26 - loss: 39.0519 - logits_profile_predictions_loss: 38.7286 - logcount_predictions_loss: 0.3233 33/378 [=>............................] - ETA: 4:26 - loss: 38.9708 - logits_profile_predictions_loss: 38.6469 - logcount_predictions_loss: 0.3239 34/378 [=>............................] - ETA: 4:25 - loss: 38.7497 - logits_profile_predictions_loss: 38.4250 - logcount_predictions_loss: 0.3247 35/378 [=>............................] - ETA: 4:24 - loss: 38.8742 - logits_profile_predictions_loss: 38.5515 - logcount_predictions_loss: 0.3227 36/378 [=>............................] - ETA: 4:23 - loss: 38.8909 - logits_profile_predictions_loss: 38.5681 - logcount_predictions_loss: 0.3229 37/378 [=>............................] - ETA: 4:23 - loss: 39.0285 - logits_profile_predictions_loss: 38.7034 - logcount_predictions_loss: 0.3251 38/378 [==>...........................] - ETA: 4:23 - loss: 39.0516 - logits_profile_predictions_loss: 38.7265 - logcount_predictions_loss: 0.3251 39/378 [==>...........................] - ETA: 4:23 - loss: 39.0295 - logits_profile_predictions_loss: 38.7055 - logcount_predictions_loss: 0.3240 40/378 [==>...........................] - ETA: 4:23 - loss: 39.0620 - logits_profile_predictions_loss: 38.7375 - logcount_predictions_loss: 0.3246 41/378 [==>...........................] - ETA: 4:22 - loss: 39.3061 - logits_profile_predictions_loss: 38.9814 - logcount_predictions_loss: 0.3247 42/378 [==>...........................] - ETA: 4:21 - loss: 39.2193 - logits_profile_predictions_loss: 38.8934 - logcount_predictions_loss: 0.3259 43/378 [==>...........................] - ETA: 4:21 - loss: 39.2343 - logits_profile_predictions_loss: 38.9055 - logcount_predictions_loss: 0.3288 44/378 [==>...........................] - ETA: 4:20 - loss: 39.3198 - logits_profile_predictions_loss: 38.9928 - logcount_predictions_loss: 0.3270 45/378 [==>...........................] - ETA: 4:20 - loss: 39.4480 - logits_profile_predictions_loss: 39.1234 - logcount_predictions_loss: 0.3246 46/378 [==>...........................] - ETA: 4:19 - loss: 39.5647 - logits_profile_predictions_loss: 39.2391 - logcount_predictions_loss: 0.3257 47/378 [==>...........................] - ETA: 4:19 - loss: 39.5503 - logits_profile_predictions_loss: 39.2257 - logcount_predictions_loss: 0.3246 48/378 [==>...........................] - ETA: 4:18 - loss: 39.7260 - logits_profile_predictions_loss: 39.4011 - logcount_predictions_loss: 0.3249 49/378 [==>...........................] - ETA: 4:18 - loss: 39.7396 - logits_profile_predictions_loss: 39.4147 - logcount_predictions_loss: 0.3249 50/378 [==>...........................] - ETA: 4:18 - loss: 39.7202 - logits_profile_predictions_loss: 39.3949 - logcount_predictions_loss: 0.3253 51/378 [===>..........................] - ETA: 4:18 - loss: 39.8043 - logits_profile_predictions_loss: 39.4789 - logcount_predictions_loss: 0.3254 52/378 [===>..........................] - ETA: 4:17 - loss: 39.7285 - logits_profile_predictions_loss: 39.4046 - logcount_predictions_loss: 0.3239 53/378 [===>..........................] - ETA: 4:17 - loss: 39.6406 - logits_profile_predictions_loss: 39.3170 - logcount_predictions_loss: 0.3235 54/378 [===>..........................] - ETA: 4:16 - loss: 39.6490 - logits_profile_predictions_loss: 39.3251 - logcount_predictions_loss: 0.3239 55/378 [===>..........................] - ETA: 4:15 - loss: 39.6481 - logits_profile_predictions_loss: 39.3243 - logcount_predictions_loss: 0.3238 56/378 [===>..........................] - ETA: 4:15 - loss: 39.6058 - logits_profile_predictions_loss: 39.2824 - logcount_predictions_loss: 0.3234 57/378 [===>..........................] - ETA: 4:14 - loss: 39.5278 - logits_profile_predictions_loss: 39.2051 - logcount_predictions_loss: 0.3226 58/378 [===>..........................] - ETA: 4:14 - loss: 39.5334 - logits_profile_predictions_loss: 39.2086 - logcount_predictions_loss: 0.3248 59/378 [===>..........................] - ETA: 4:13 - loss: 39.6560 - logits_profile_predictions_loss: 39.3318 - logcount_predictions_loss: 0.3242 60/378 [===>..........................] - ETA: 4:13 - loss: 39.6368 - logits_profile_predictions_loss: 39.3132 - logcount_predictions_loss: 0.3236 61/378 [===>..........................] - ETA: 4:12 - loss: 39.6022 - logits_profile_predictions_loss: 39.2771 - logcount_predictions_loss: 0.3250 62/378 [===>..........................] - ETA: 4:12 - loss: 39.6568 - logits_profile_predictions_loss: 39.3305 - logcount_predictions_loss: 0.3264 63/378 [====>.........................] - ETA: 4:11 - loss: 39.6645 - logits_profile_predictions_loss: 39.3381 - logcount_predictions_loss: 0.3264 64/378 [====>.........................] - ETA: 4:10 - loss: 39.7163 - logits_profile_predictions_loss: 39.3902 - logcount_predictions_loss: 0.3261 65/378 [====>.........................] - ETA: 4:09 - loss: 39.7218 - logits_profile_predictions_loss: 39.3947 - logcount_predictions_loss: 0.3271 66/378 [====>.........................] - ETA: 4:09 - loss: 39.6846 - logits_profile_predictions_loss: 39.3555 - logcount_predictions_loss: 0.3291 67/378 [====>.........................] - ETA: 4:08 - loss: 39.6571 - logits_profile_predictions_loss: 39.3284 - logcount_predictions_loss: 0.3286 68/378 [====>.........................] - ETA: 4:07 - loss: 39.7286 - logits_profile_predictions_loss: 39.3997 - logcount_predictions_loss: 0.3289 69/378 [====>.........................] - ETA: 4:07 - loss: 39.7761 - logits_profile_predictions_loss: 39.4454 - logcount_predictions_loss: 0.3306 70/378 [====>.........................] - ETA: 4:06 - loss: 39.7929 - logits_profile_predictions_loss: 39.4618 - logcount_predictions_loss: 0.3311 71/378 [====>.........................] - ETA: 4:06 - loss: 39.7436 - logits_profile_predictions_loss: 39.4132 - logcount_predictions_loss: 0.3304 72/378 [====>.........................] - 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[=====>........................] - ETA: 4:01 - loss: 39.4978 - logits_profile_predictions_loss: 39.1663 - logcount_predictions_loss: 0.3315 80/378 [=====>........................] - ETA: 4:00 - loss: 39.5011 - logits_profile_predictions_loss: 39.1705 - logcount_predictions_loss: 0.3306 81/378 [=====>........................] - ETA: 3:59 - loss: 39.5343 - logits_profile_predictions_loss: 39.2039 - logcount_predictions_loss: 0.3304 82/378 [=====>........................] - ETA: 3:58 - loss: 39.5154 - logits_profile_predictions_loss: 39.1856 - logcount_predictions_loss: 0.3298 83/378 [=====>........................] - ETA: 3:58 - loss: 39.4735 - logits_profile_predictions_loss: 39.1442 - logcount_predictions_loss: 0.3293 84/378 [=====>........................] - ETA: 3:57 - loss: 39.4622 - logits_profile_predictions_loss: 39.1330 - logcount_predictions_loss: 0.3292 85/378 [=====>........................] - ETA: 3:56 - loss: 39.4172 - logits_profile_predictions_loss: 39.0872 - 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[=======>......................] - ETA: 3:41 - loss: 39.4616 - logits_profile_predictions_loss: 39.1307 - logcount_predictions_loss: 0.3308 107/378 [=======>......................] - ETA: 3:40 - loss: 39.5093 - logits_profile_predictions_loss: 39.1780 - logcount_predictions_loss: 0.3313 108/378 [=======>......................] - ETA: 3:40 - loss: 39.4946 - logits_profile_predictions_loss: 39.1624 - logcount_predictions_loss: 0.3322 109/378 [=======>......................] - ETA: 3:39 - loss: 39.5179 - logits_profile_predictions_loss: 39.1856 - logcount_predictions_loss: 0.3323 110/378 [=======>......................] - ETA: 3:39 - loss: 39.5145 - logits_profile_predictions_loss: 39.1824 - logcount_predictions_loss: 0.3321 111/378 [=======>......................] - ETA: 3:38 - loss: 39.4768 - logits_profile_predictions_loss: 39.1454 - logcount_predictions_loss: 0.3314 112/378 [=======>......................] - ETA: 3:37 - loss: 39.5174 - logits_profile_predictions_loss: 39.1853 - 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[==========>...................] - ETA: 3:12 - loss: 39.8262 - logits_profile_predictions_loss: 39.4911 - logcount_predictions_loss: 0.3350 147/378 [==========>...................] - ETA: 3:12 - loss: 39.8339 - logits_profile_predictions_loss: 39.4990 - logcount_predictions_loss: 0.3349 148/378 [==========>...................] - ETA: 3:11 - loss: 39.8805 - logits_profile_predictions_loss: 39.5453 - logcount_predictions_loss: 0.3352 149/378 [==========>...................] - ETA: 3:10 - loss: 39.9114 - logits_profile_predictions_loss: 39.5757 - logcount_predictions_loss: 0.3357 150/378 [==========>...................] - ETA: 3:09 - loss: 39.9184 - logits_profile_predictions_loss: 39.5829 - logcount_predictions_loss: 0.3355 151/378 [==========>...................] - ETA: 3:08 - loss: 39.9140 - logits_profile_predictions_loss: 39.5780 - logcount_predictions_loss: 0.3360 152/378 [===========>..................] - ETA: 3:07 - loss: 39.9235 - logits_profile_predictions_loss: 39.5874 - 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[===========================>..] - ETA: 15s - loss: 39.9510 - logits_profile_predictions_loss: 39.6222 - logcount_predictions_loss: 0.3288 361/378 [===========================>..] - ETA: 14s - loss: 39.9609 - logits_profile_predictions_loss: 39.6321 - logcount_predictions_loss: 0.3288 362/378 [===========================>..] - ETA: 13s - loss: 39.9640 - logits_profile_predictions_loss: 39.6354 - logcount_predictions_loss: 0.3287 363/378 [===========================>..] - ETA: 12s - loss: 39.9653 - logits_profile_predictions_loss: 39.6366 - logcount_predictions_loss: 0.3287 364/378 [===========================>..] - ETA: 11s - loss: 39.9603 - logits_profile_predictions_loss: 39.6319 - logcount_predictions_loss: 0.3285 365/378 [===========================>..] - ETA: 11s - loss: 39.9645 - logits_profile_predictions_loss: 39.6359 - logcount_predictions_loss: 0.3286 366/378 [============================>.] - ETA: 10s - loss: 39.9763 - logits_profile_predictions_loss: 39.6477 - logcount_predictions_loss: 0.3287 367/378 [============================>.] - ETA: 9s - loss: 39.9950 - logits_profile_predictions_loss: 39.6665 - logcount_predictions_loss: 0.3284  368/378 [============================>.] - ETA: 8s - loss: 39.9924 - logits_profile_predictions_loss: 39.6638 - logcount_predictions_loss: 0.3285 369/378 [============================>.] - ETA: 7s - loss: 39.9902 - logits_profile_predictions_loss: 39.6620 - logcount_predictions_loss: 0.3283 370/378 [============================>.] - ETA: 6s - loss: 40.0018 - logits_profile_predictions_loss: 39.6737 - logcount_predictions_loss: 0.3281 371/378 [============================>.] - ETA: 5s - loss: 40.0176 - logits_profile_predictions_loss: 39.6899 - logcount_predictions_loss: 0.3278 372/378 [============================>.] - ETA: 5s - loss: 40.0344 - logits_profile_predictions_loss: 39.7068 - logcount_predictions_loss: 0.3276 373/378 [============================>.] - ETA: 4s - loss: 40.0239 - logits_profile_predictions_loss: 39.6965 - logcount_predictions_loss: 0.3274 374/378 [============================>.] - ETA: 3s - loss: 40.0105 - logits_profile_predictions_loss: 39.6830 - logcount_predictions_loss: 0.3274 375/378 [============================>.] - ETA: 2s - loss: 40.0061 - logits_profile_predictions_loss: 39.6788 - logcount_predictions_loss: 0.3273 376/378 [============================>.] - ETA: 1s - loss: 39.9923 - logits_profile_predictions_loss: 39.6653 - logcount_predictions_loss: 0.3270 377/378 [============================>.] - ETA: 0s - loss: 39.9811 - logits_profile_predictions_loss: 39.6543 - logcount_predictions_loss: 0.3268 378/378 [==============================] - ETA: 0s - loss: 39.9848 - logits_profile_predictions_loss: 39.6579 - logcount_predictions_loss: 0.3269 Epoch 5: val_loss improved from 41.79272 to 41.52061, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 341s 904ms/step - loss: 39.9848 - logits_profile_predictions_loss: 39.6579 - logcount_predictions_loss: 0.3269 - val_loss: 41.5206 - val_logits_profile_predictions_loss: 41.2635 - val_logcount_predictions_loss: 0.2571 Epoch 6/50 1/378 [..............................] - ETA: 4:36 - loss: 38.8122 - logits_profile_predictions_loss: 38.5666 - logcount_predictions_loss: 0.2456 2/378 [..............................] - ETA: 4:29 - loss: 39.1992 - logits_profile_predictions_loss: 38.8984 - logcount_predictions_loss: 0.3008 3/378 [..............................] - ETA: 4:30 - loss: 41.0022 - logits_profile_predictions_loss: 40.7146 - logcount_predictions_loss: 0.2876 4/378 [..............................] - ETA: 4:32 - loss: 41.0983 - logits_profile_predictions_loss: 40.8164 - 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[>.............................] - ETA: 4:31 - loss: 40.6153 - logits_profile_predictions_loss: 40.3005 - logcount_predictions_loss: 0.3148 26/378 [=>............................] - ETA: 4:31 - loss: 40.7266 - logits_profile_predictions_loss: 40.4101 - logcount_predictions_loss: 0.3165 27/378 [=>............................] - ETA: 4:31 - loss: 40.7666 - logits_profile_predictions_loss: 40.4478 - logcount_predictions_loss: 0.3189 28/378 [=>............................] - ETA: 4:30 - loss: 40.6040 - logits_profile_predictions_loss: 40.2859 - logcount_predictions_loss: 0.3181 29/378 [=>............................] - ETA: 4:29 - loss: 40.7596 - logits_profile_predictions_loss: 40.4405 - logcount_predictions_loss: 0.3191 30/378 [=>............................] - ETA: 4:29 - loss: 40.7062 - logits_profile_predictions_loss: 40.3883 - logcount_predictions_loss: 0.3179 31/378 [=>............................] - ETA: 4:29 - loss: 40.6509 - logits_profile_predictions_loss: 40.3304 - 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[===>..........................] - ETA: 4:18 - loss: 40.1223 - logits_profile_predictions_loss: 39.7974 - logcount_predictions_loss: 0.3249 53/378 [===>..........................] - ETA: 4:17 - loss: 40.0908 - logits_profile_predictions_loss: 39.7655 - logcount_predictions_loss: 0.3253 54/378 [===>..........................] - ETA: 4:16 - loss: 40.2566 - logits_profile_predictions_loss: 39.9318 - logcount_predictions_loss: 0.3248 55/378 [===>..........................] - ETA: 4:16 - loss: 40.1455 - logits_profile_predictions_loss: 39.8213 - logcount_predictions_loss: 0.3242 56/378 [===>..........................] - ETA: 4:15 - loss: 40.1526 - logits_profile_predictions_loss: 39.8282 - logcount_predictions_loss: 0.3244 57/378 [===>..........................] - ETA: 4:15 - loss: 40.0236 - logits_profile_predictions_loss: 39.7005 - logcount_predictions_loss: 0.3231 58/378 [===>..........................] - ETA: 4:14 - loss: 40.0441 - logits_profile_predictions_loss: 39.7213 - 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[=====>........................] - ETA: 4:01 - loss: 40.0094 - logits_profile_predictions_loss: 39.6948 - logcount_predictions_loss: 0.3146 80/378 [=====>........................] - ETA: 4:02 - loss: 40.0475 - logits_profile_predictions_loss: 39.7326 - logcount_predictions_loss: 0.3149 81/378 [=====>........................] - ETA: 4:01 - loss: 40.0871 - logits_profile_predictions_loss: 39.7717 - logcount_predictions_loss: 0.3154 82/378 [=====>........................] - ETA: 4:00 - loss: 40.0746 - logits_profile_predictions_loss: 39.7576 - logcount_predictions_loss: 0.3170 83/378 [=====>........................] - ETA: 4:00 - loss: 40.0605 - logits_profile_predictions_loss: 39.7431 - logcount_predictions_loss: 0.3174 84/378 [=====>........................] - ETA: 3:59 - loss: 40.1391 - logits_profile_predictions_loss: 39.8204 - logcount_predictions_loss: 0.3186 85/378 [=====>........................] - ETA: 3:58 - loss: 40.2330 - logits_profile_predictions_loss: 39.9127 - 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logits_profile_predictions_loss: 39.6229 - logcount_predictions_loss: 0.3131 374/378 [============================>.] - ETA: 3s - loss: 39.9358 - logits_profile_predictions_loss: 39.6229 - logcount_predictions_loss: 0.3130 375/378 [============================>.] - ETA: 2s - loss: 39.9429 - logits_profile_predictions_loss: 39.6297 - logcount_predictions_loss: 0.3132 376/378 [============================>.] - ETA: 1s - loss: 39.9484 - logits_profile_predictions_loss: 39.6353 - logcount_predictions_loss: 0.3131 377/378 [============================>.] - ETA: 0s - loss: 39.9656 - logits_profile_predictions_loss: 39.6524 - logcount_predictions_loss: 0.3132 378/378 [==============================] - ETA: 0s - loss: 39.9595 - logits_profile_predictions_loss: 39.6463 - logcount_predictions_loss: 0.3132 Epoch 6: val_loss did not improve from 41.52061  378/378 [==============================] - 329s 871ms/step - loss: 39.9595 - logits_profile_predictions_loss: 39.6463 - logcount_predictions_loss: 0.3132 - val_loss: 41.5333 - val_logits_profile_predictions_loss: 41.1771 - val_logcount_predictions_loss: 0.3563 Epoch 7/50 1/378 [..............................] - ETA: 4:34 - loss: 41.5831 - logits_profile_predictions_loss: 41.2862 - logcount_predictions_loss: 0.2969 2/378 [..............................] - ETA: 4:30 - loss: 41.1902 - logits_profile_predictions_loss: 40.8543 - logcount_predictions_loss: 0.3359 3/378 [..............................] - ETA: 4:30 - loss: 40.5572 - logits_profile_predictions_loss: 40.2405 - logcount_predictions_loss: 0.3167 4/378 [..............................] - ETA: 4:30 - loss: 41.1311 - logits_profile_predictions_loss: 40.8067 - logcount_predictions_loss: 0.3244 5/378 [..............................] - ETA: 4:30 - loss: 40.9260 - logits_profile_predictions_loss: 40.6060 - logcount_predictions_loss: 0.3200 6/378 [..............................] - ETA: 4:30 - loss: 41.7961 - logits_profile_predictions_loss: 41.4691 - logcount_predictions_loss: 0.3269 7/378 [..............................] - ETA: 4:29 - loss: 42.1104 - logits_profile_predictions_loss: 41.7900 - logcount_predictions_loss: 0.3205 8/378 [..............................] - ETA: 4:29 - loss: 41.6167 - logits_profile_predictions_loss: 41.2954 - logcount_predictions_loss: 0.3213 9/378 [..............................] - ETA: 4:28 - loss: 41.2281 - logits_profile_predictions_loss: 40.9119 - logcount_predictions_loss: 0.3163 10/378 [..............................] - ETA: 4:27 - loss: 40.8619 - logits_profile_predictions_loss: 40.5496 - logcount_predictions_loss: 0.3123 11/378 [..............................] - ETA: 4:27 - loss: 41.0183 - logits_profile_predictions_loss: 40.7114 - logcount_predictions_loss: 0.3069 12/378 [..............................] - ETA: 4:26 - loss: 41.9556 - logits_profile_predictions_loss: 41.6530 - logcount_predictions_loss: 0.3025 13/378 [>.............................] - ETA: 4:26 - loss: 41.8895 - logits_profile_predictions_loss: 41.5908 - logcount_predictions_loss: 0.2987 14/378 [>.............................] - ETA: 4:25 - loss: 41.8285 - logits_profile_predictions_loss: 41.5270 - logcount_predictions_loss: 0.3015 15/378 [>.............................] - ETA: 4:26 - loss: 41.3145 - logits_profile_predictions_loss: 41.0145 - logcount_predictions_loss: 0.3001 16/378 [>.............................] - ETA: 4:26 - loss: 41.3842 - logits_profile_predictions_loss: 41.0808 - logcount_predictions_loss: 0.3034 17/378 [>.............................] - ETA: 4:25 - loss: 41.7144 - logits_profile_predictions_loss: 41.4060 - logcount_predictions_loss: 0.3085 18/378 [>.............................] - ETA: 4:24 - loss: 41.6463 - logits_profile_predictions_loss: 41.3382 - logcount_predictions_loss: 0.3081 19/378 [>.............................] - ETA: 4:24 - loss: 41.6439 - logits_profile_predictions_loss: 41.3406 - logcount_predictions_loss: 0.3034 20/378 [>.............................] - ETA: 4:24 - loss: 41.7779 - logits_profile_predictions_loss: 41.4793 - logcount_predictions_loss: 0.2986 21/378 [>.............................] - ETA: 4:24 - loss: 41.5439 - logits_profile_predictions_loss: 41.2456 - logcount_predictions_loss: 0.2983 22/378 [>.............................] - ETA: 4:24 - loss: 41.4384 - logits_profile_predictions_loss: 41.1423 - logcount_predictions_loss: 0.2961 23/378 [>.............................] - ETA: 4:25 - loss: 41.2204 - logits_profile_predictions_loss: 40.9251 - logcount_predictions_loss: 0.2953 24/378 [>.............................] - ETA: 4:26 - loss: 41.1137 - logits_profile_predictions_loss: 40.8196 - logcount_predictions_loss: 0.2941 25/378 [>.............................] - ETA: 4:26 - loss: 41.0672 - logits_profile_predictions_loss: 40.7703 - logcount_predictions_loss: 0.2969 26/378 [=>............................] - ETA: 4:26 - loss: 40.9200 - logits_profile_predictions_loss: 40.6212 - logcount_predictions_loss: 0.2988 27/378 [=>............................] - ETA: 4:26 - loss: 40.8804 - logits_profile_predictions_loss: 40.5821 - logcount_predictions_loss: 0.2984 28/378 [=>............................] - ETA: 4:26 - loss: 40.7034 - logits_profile_predictions_loss: 40.4070 - logcount_predictions_loss: 0.2964 29/378 [=>............................] - ETA: 4:26 - loss: 40.6106 - logits_profile_predictions_loss: 40.3108 - logcount_predictions_loss: 0.2998 30/378 [=>............................] - ETA: 4:26 - loss: 40.5980 - logits_profile_predictions_loss: 40.2960 - logcount_predictions_loss: 0.3020 31/378 [=>............................] - ETA: 4:22 - loss: 40.6327 - logits_profile_predictions_loss: 40.3331 - logcount_predictions_loss: 0.2996 32/378 [=>............................] - ETA: 4:22 - loss: 40.5620 - logits_profile_predictions_loss: 40.2625 - logcount_predictions_loss: 0.2996 33/378 [=>............................] - ETA: 4:22 - loss: 40.5989 - logits_profile_predictions_loss: 40.3012 - logcount_predictions_loss: 0.2977 34/378 [=>............................] - ETA: 4:22 - loss: 40.7613 - logits_profile_predictions_loss: 40.4624 - logcount_predictions_loss: 0.2989 35/378 [=>............................] - ETA: 4:22 - loss: 40.8628 - logits_profile_predictions_loss: 40.5613 - logcount_predictions_loss: 0.3015 36/378 [=>............................] - ETA: 4:22 - loss: 40.7031 - logits_profile_predictions_loss: 40.4017 - logcount_predictions_loss: 0.3014 37/378 [=>............................] - ETA: 4:22 - loss: 40.6127 - logits_profile_predictions_loss: 40.3130 - logcount_predictions_loss: 0.2997 38/378 [==>...........................] - ETA: 4:22 - loss: 40.5381 - logits_profile_predictions_loss: 40.2392 - logcount_predictions_loss: 0.2988 39/378 [==>...........................] - ETA: 4:22 - loss: 40.5476 - logits_profile_predictions_loss: 40.2513 - logcount_predictions_loss: 0.2963 40/378 [==>...........................] - ETA: 4:22 - loss: 40.4819 - logits_profile_predictions_loss: 40.1845 - logcount_predictions_loss: 0.2975 41/378 [==>...........................] - ETA: 4:21 - loss: 40.5435 - logits_profile_predictions_loss: 40.2465 - logcount_predictions_loss: 0.2970 42/378 [==>...........................] - ETA: 4:20 - loss: 40.5354 - logits_profile_predictions_loss: 40.2390 - logcount_predictions_loss: 0.2964 43/378 [==>...........................] - ETA: 4:20 - loss: 40.4462 - logits_profile_predictions_loss: 40.1498 - logcount_predictions_loss: 0.2964 44/378 [==>...........................] - ETA: 4:19 - loss: 40.2873 - logits_profile_predictions_loss: 39.9911 - logcount_predictions_loss: 0.2962 45/378 [==>...........................] - ETA: 4:18 - loss: 40.2646 - logits_profile_predictions_loss: 39.9690 - logcount_predictions_loss: 0.2957 46/378 [==>...........................] - ETA: 4:18 - loss: 40.3235 - logits_profile_predictions_loss: 40.0284 - logcount_predictions_loss: 0.2951 47/378 [==>...........................] - ETA: 4:17 - loss: 40.2418 - logits_profile_predictions_loss: 39.9481 - logcount_predictions_loss: 0.2938 48/378 [==>...........................] - ETA: 4:17 - loss: 40.3125 - logits_profile_predictions_loss: 40.0190 - logcount_predictions_loss: 0.2935 49/378 [==>...........................] - ETA: 4:17 - loss: 40.3391 - logits_profile_predictions_loss: 40.0465 - logcount_predictions_loss: 0.2927 50/378 [==>...........................] - ETA: 4:16 - loss: 40.2424 - logits_profile_predictions_loss: 39.9506 - logcount_predictions_loss: 0.2919 51/378 [===>..........................] - ETA: 4:16 - loss: 40.2935 - logits_profile_predictions_loss: 40.0008 - logcount_predictions_loss: 0.2927 52/378 [===>..........................] - ETA: 4:15 - loss: 40.3003 - logits_profile_predictions_loss: 40.0084 - logcount_predictions_loss: 0.2920 53/378 [===>..........................] - ETA: 4:14 - loss: 40.2585 - logits_profile_predictions_loss: 39.9656 - logcount_predictions_loss: 0.2929 54/378 [===>..........................] - ETA: 4:14 - loss: 40.3174 - logits_profile_predictions_loss: 40.0239 - logcount_predictions_loss: 0.2935 55/378 [===>..........................] - ETA: 4:14 - loss: 40.4419 - logits_profile_predictions_loss: 40.1491 - logcount_predictions_loss: 0.2929 56/378 [===>..........................] - ETA: 4:13 - loss: 40.4473 - logits_profile_predictions_loss: 40.1547 - logcount_predictions_loss: 0.2926 57/378 [===>..........................] - ETA: 4:13 - loss: 40.3867 - logits_profile_predictions_loss: 40.0956 - logcount_predictions_loss: 0.2911 58/378 [===>..........................] - ETA: 4:12 - loss: 40.5250 - logits_profile_predictions_loss: 40.2350 - logcount_predictions_loss: 0.2899 59/378 [===>..........................] - ETA: 4:12 - loss: 40.4796 - logits_profile_predictions_loss: 40.1912 - logcount_predictions_loss: 0.2885 60/378 [===>..........................] - ETA: 4:12 - loss: 40.3874 - logits_profile_predictions_loss: 40.0976 - logcount_predictions_loss: 0.2898 61/378 [===>..........................] - ETA: 4:11 - loss: 40.4031 - logits_profile_predictions_loss: 40.1122 - logcount_predictions_loss: 0.2909 62/378 [===>..........................] - ETA: 4:10 - loss: 40.5111 - logits_profile_predictions_loss: 40.2204 - logcount_predictions_loss: 0.2908 63/378 [====>.........................] - ETA: 4:10 - loss: 40.4662 - logits_profile_predictions_loss: 40.1761 - logcount_predictions_loss: 0.2901 64/378 [====>.........................] - ETA: 4:09 - loss: 40.4416 - logits_profile_predictions_loss: 40.1522 - logcount_predictions_loss: 0.2895 65/378 [====>.........................] - ETA: 4:08 - loss: 40.4252 - logits_profile_predictions_loss: 40.1349 - logcount_predictions_loss: 0.2903 66/378 [====>.........................] - ETA: 4:08 - loss: 40.4795 - logits_profile_predictions_loss: 40.1886 - logcount_predictions_loss: 0.2909 67/378 [====>.........................] - ETA: 4:07 - loss: 40.4640 - logits_profile_predictions_loss: 40.1738 - logcount_predictions_loss: 0.2903 68/378 [====>.........................] - ETA: 4:07 - loss: 40.5957 - logits_profile_predictions_loss: 40.3045 - logcount_predictions_loss: 0.2911 69/378 [====>.........................] - ETA: 4:07 - loss: 40.6244 - logits_profile_predictions_loss: 40.3338 - logcount_predictions_loss: 0.2906 70/378 [====>.........................] - ETA: 4:06 - loss: 40.5832 - logits_profile_predictions_loss: 40.2925 - logcount_predictions_loss: 0.2908 71/378 [====>.........................] - ETA: 4:05 - loss: 40.5775 - logits_profile_predictions_loss: 40.2872 - logcount_predictions_loss: 0.2903 72/378 [====>.........................] - ETA: 4:05 - loss: 40.5783 - logits_profile_predictions_loss: 40.2895 - logcount_predictions_loss: 0.2889 73/378 [====>.........................] - ETA: 4:04 - loss: 40.5328 - logits_profile_predictions_loss: 40.2440 - logcount_predictions_loss: 0.2888 74/378 [====>.........................] - ETA: 4:04 - loss: 40.4386 - logits_profile_predictions_loss: 40.1502 - logcount_predictions_loss: 0.2884 75/378 [====>.........................] - ETA: 4:03 - loss: 40.4322 - logits_profile_predictions_loss: 40.1433 - logcount_predictions_loss: 0.2889 76/378 [=====>........................] - ETA: 4:02 - loss: 40.4464 - logits_profile_predictions_loss: 40.1566 - logcount_predictions_loss: 0.2898 77/378 [=====>........................] - ETA: 4:02 - loss: 40.3773 - logits_profile_predictions_loss: 40.0870 - logcount_predictions_loss: 0.2903 78/378 [=====>........................] - ETA: 4:01 - loss: 40.3839 - logits_profile_predictions_loss: 40.0937 - logcount_predictions_loss: 0.2902 79/378 [=====>........................] - ETA: 4:00 - loss: 40.3491 - logits_profile_predictions_loss: 40.0590 - logcount_predictions_loss: 0.2901 80/378 [=====>........................] - ETA: 4:00 - loss: 40.3610 - logits_profile_predictions_loss: 40.0714 - logcount_predictions_loss: 0.2896 81/378 [=====>........................] - ETA: 3:59 - loss: 40.2780 - logits_profile_predictions_loss: 39.9889 - logcount_predictions_loss: 0.2890 82/378 [=====>........................] - ETA: 3:58 - loss: 40.2035 - logits_profile_predictions_loss: 39.9152 - logcount_predictions_loss: 0.2883 83/378 [=====>........................] - ETA: 3:58 - loss: 40.1708 - logits_profile_predictions_loss: 39.8828 - logcount_predictions_loss: 0.2880 84/378 [=====>........................] - ETA: 3:57 - loss: 40.0813 - logits_profile_predictions_loss: 39.7938 - logcount_predictions_loss: 0.2876 85/378 [=====>........................] - ETA: 3:56 - loss: 40.0524 - logits_profile_predictions_loss: 39.7643 - logcount_predictions_loss: 0.2881 86/378 [=====>........................] - ETA: 3:56 - loss: 40.0614 - logits_profile_predictions_loss: 39.7733 - logcount_predictions_loss: 0.2881 87/378 [=====>........................] - ETA: 3:55 - loss: 40.1226 - logits_profile_predictions_loss: 39.8321 - logcount_predictions_loss: 0.2905 88/378 [=====>........................] - ETA: 3:54 - loss: 40.1834 - logits_profile_predictions_loss: 39.8912 - logcount_predictions_loss: 0.2922 89/378 [======>.......................] - ETA: 3:53 - loss: 40.1723 - logits_profile_predictions_loss: 39.8792 - logcount_predictions_loss: 0.2931 90/378 [======>.......................] - ETA: 3:53 - loss: 40.1716 - logits_profile_predictions_loss: 39.8789 - logcount_predictions_loss: 0.2927 91/378 [======>.......................] - ETA: 3:52 - loss: 40.1647 - logits_profile_predictions_loss: 39.8704 - logcount_predictions_loss: 0.2943 92/378 [======>.......................] - ETA: 3:51 - loss: 40.1243 - logits_profile_predictions_loss: 39.8285 - logcount_predictions_loss: 0.2958 93/378 [======>.......................] - ETA: 3:51 - loss: 40.1189 - logits_profile_predictions_loss: 39.8220 - logcount_predictions_loss: 0.2969 94/378 [======>.......................] - ETA: 3:50 - loss: 40.1200 - logits_profile_predictions_loss: 39.8232 - logcount_predictions_loss: 0.2968 95/378 [======>.......................] - ETA: 3:49 - loss: 40.0956 - logits_profile_predictions_loss: 39.7985 - logcount_predictions_loss: 0.2971 96/378 [======>.......................] - ETA: 3:48 - loss: 40.0676 - logits_profile_predictions_loss: 39.7706 - logcount_predictions_loss: 0.2970 97/378 [======>.......................] - ETA: 3:48 - loss: 40.0416 - logits_profile_predictions_loss: 39.7446 - logcount_predictions_loss: 0.2969 98/378 [======>.......................] - ETA: 3:47 - loss: 40.0590 - logits_profile_predictions_loss: 39.7618 - logcount_predictions_loss: 0.2972 99/378 [======>.......................] - ETA: 3:46 - loss: 39.9852 - logits_profile_predictions_loss: 39.6888 - logcount_predictions_loss: 0.2964 100/378 [======>.......................] - ETA: 3:46 - loss: 39.9523 - logits_profile_predictions_loss: 39.6557 - logcount_predictions_loss: 0.2966 101/378 [=======>......................] - ETA: 3:45 - loss: 39.9411 - logits_profile_predictions_loss: 39.6443 - logcount_predictions_loss: 0.2969 102/378 [=======>......................] - ETA: 3:44 - loss: 39.9663 - logits_profile_predictions_loss: 39.6691 - logcount_predictions_loss: 0.2972 103/378 [=======>......................] - ETA: 3:43 - loss: 39.9315 - logits_profile_predictions_loss: 39.6349 - logcount_predictions_loss: 0.2966 104/378 [=======>......................] - ETA: 3:42 - loss: 39.9051 - logits_profile_predictions_loss: 39.6078 - logcount_predictions_loss: 0.2973 105/378 [=======>......................] - ETA: 3:42 - loss: 39.9294 - logits_profile_predictions_loss: 39.6314 - logcount_predictions_loss: 0.2980 106/378 [=======>......................] - ETA: 3:41 - loss: 39.8784 - logits_profile_predictions_loss: 39.5811 - logcount_predictions_loss: 0.2973 107/378 [=======>......................] - ETA: 3:41 - loss: 39.8656 - logits_profile_predictions_loss: 39.5688 - logcount_predictions_loss: 0.2968 108/378 [=======>......................] - ETA: 3:40 - loss: 39.8637 - logits_profile_predictions_loss: 39.5675 - logcount_predictions_loss: 0.2962 109/378 [=======>......................] - ETA: 3:39 - loss: 39.8877 - logits_profile_predictions_loss: 39.5909 - logcount_predictions_loss: 0.2968 110/378 [=======>......................] - ETA: 3:38 - loss: 39.9496 - logits_profile_predictions_loss: 39.6533 - logcount_predictions_loss: 0.2963 111/378 [=======>......................] - ETA: 3:38 - loss: 39.9639 - logits_profile_predictions_loss: 39.6676 - logcount_predictions_loss: 0.2963 112/378 [=======>......................] - ETA: 3:37 - loss: 39.9558 - logits_profile_predictions_loss: 39.6589 - logcount_predictions_loss: 0.2969 113/378 [=======>......................] - ETA: 3:36 - loss: 39.9444 - logits_profile_predictions_loss: 39.6466 - logcount_predictions_loss: 0.2978 114/378 [========>.....................] - ETA: 3:35 - loss: 39.9477 - logits_profile_predictions_loss: 39.6479 - logcount_predictions_loss: 0.2998 115/378 [========>.....................] - ETA: 3:35 - loss: 39.9821 - logits_profile_predictions_loss: 39.6798 - logcount_predictions_loss: 0.3022 116/378 [========>.....................] - ETA: 3:34 - loss: 39.9536 - logits_profile_predictions_loss: 39.6515 - logcount_predictions_loss: 0.3020 117/378 [========>.....................] - ETA: 3:33 - loss: 39.9660 - logits_profile_predictions_loss: 39.6642 - logcount_predictions_loss: 0.3018 118/378 [========>.....................] - ETA: 3:32 - loss: 39.9484 - logits_profile_predictions_loss: 39.6450 - logcount_predictions_loss: 0.3034 119/378 [========>.....................] - ETA: 3:32 - loss: 39.9921 - logits_profile_predictions_loss: 39.6887 - logcount_predictions_loss: 0.3033 120/378 [========>.....................] - ETA: 3:31 - loss: 39.9537 - logits_profile_predictions_loss: 39.6503 - logcount_predictions_loss: 0.3033 121/378 [========>.....................] - ETA: 3:30 - loss: 39.9213 - 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- ETA: 42s - loss: 39.5657 - logits_profile_predictions_loss: 39.2660 - logcount_predictions_loss: 0.2997 329/378 [=========================>....] - ETA: 41s - loss: 39.5677 - logits_profile_predictions_loss: 39.2680 - logcount_predictions_loss: 0.2997 330/378 [=========================>....] - ETA: 40s - loss: 39.5640 - logits_profile_predictions_loss: 39.2641 - logcount_predictions_loss: 0.2998 331/378 [=========================>....] - ETA: 39s - loss: 39.5544 - logits_profile_predictions_loss: 39.2546 - logcount_predictions_loss: 0.2997 332/378 [=========================>....] - ETA: 38s - loss: 39.5493 - logits_profile_predictions_loss: 39.2495 - logcount_predictions_loss: 0.2998 333/378 [=========================>....] - ETA: 37s - loss: 39.5488 - logits_profile_predictions_loss: 39.2492 - logcount_predictions_loss: 0.2996 334/378 [=========================>....] - ETA: 37s - loss: 39.5524 - logits_profile_predictions_loss: 39.2524 - logcount_predictions_loss: 0.2999 335/378 [=========================>....] - ETA: 36s - loss: 39.5586 - logits_profile_predictions_loss: 39.2589 - logcount_predictions_loss: 0.2997 336/378 [=========================>....] - ETA: 35s - loss: 39.5566 - logits_profile_predictions_loss: 39.2569 - logcount_predictions_loss: 0.2997 337/378 [=========================>....] - ETA: 34s - loss: 39.5616 - logits_profile_predictions_loss: 39.2621 - logcount_predictions_loss: 0.2995 338/378 [=========================>....] - ETA: 33s - loss: 39.5604 - logits_profile_predictions_loss: 39.2608 - logcount_predictions_loss: 0.2995 339/378 [=========================>....] - ETA: 32s - loss: 39.5715 - logits_profile_predictions_loss: 39.2719 - logcount_predictions_loss: 0.2996 340/378 [=========================>....] - ETA: 32s - loss: 39.5607 - logits_profile_predictions_loss: 39.2610 - logcount_predictions_loss: 0.2997 341/378 [==========================>...] - ETA: 31s - loss: 39.5552 - logits_profile_predictions_loss: 39.2557 - 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- ETA: 19s - loss: 39.5481 - logits_profile_predictions_loss: 39.2486 - logcount_predictions_loss: 0.2995 356/378 [===========================>..] - ETA: 18s - loss: 39.5558 - logits_profile_predictions_loss: 39.2558 - logcount_predictions_loss: 0.2999 357/378 [===========================>..] - ETA: 17s - loss: 39.5451 - logits_profile_predictions_loss: 39.2454 - logcount_predictions_loss: 0.2997 358/378 [===========================>..] - ETA: 16s - loss: 39.5333 - logits_profile_predictions_loss: 39.2335 - logcount_predictions_loss: 0.2998 359/378 [===========================>..] - ETA: 16s - loss: 39.5413 - logits_profile_predictions_loss: 39.2415 - logcount_predictions_loss: 0.2997 360/378 [===========================>..] - ETA: 15s - loss: 39.5274 - logits_profile_predictions_loss: 39.2279 - logcount_predictions_loss: 0.2995 361/378 [===========================>..] - ETA: 14s - loss: 39.5089 - logits_profile_predictions_loss: 39.2094 - logcount_predictions_loss: 0.2995 362/378 [===========================>..] - ETA: 13s - loss: 39.5171 - logits_profile_predictions_loss: 39.2176 - logcount_predictions_loss: 0.2994 363/378 [===========================>..] - ETA: 12s - loss: 39.5165 - logits_profile_predictions_loss: 39.2172 - logcount_predictions_loss: 0.2993 364/378 [===========================>..] - ETA: 11s - loss: 39.4990 - logits_profile_predictions_loss: 39.1991 - logcount_predictions_loss: 0.2999 365/378 [===========================>..] - ETA: 10s - loss: 39.4940 - logits_profile_predictions_loss: 39.1940 - logcount_predictions_loss: 0.2999 366/378 [============================>.] - ETA: 10s - loss: 39.4866 - logits_profile_predictions_loss: 39.1865 - logcount_predictions_loss: 0.3001 367/378 [============================>.] - ETA: 9s - loss: 39.5007 - logits_profile_predictions_loss: 39.2008 - logcount_predictions_loss: 0.3000  368/378 [============================>.] - ETA: 8s - loss: 39.5260 - logits_profile_predictions_loss: 39.2261 - logcount_predictions_loss: 0.2999 369/378 [============================>.] - ETA: 7s - loss: 39.5252 - logits_profile_predictions_loss: 39.2252 - logcount_predictions_loss: 0.2999 370/378 [============================>.] - ETA: 6s - loss: 39.5373 - logits_profile_predictions_loss: 39.2375 - logcount_predictions_loss: 0.2998 371/378 [============================>.] - ETA: 5s - loss: 39.5399 - logits_profile_predictions_loss: 39.2403 - logcount_predictions_loss: 0.2995 372/378 [============================>.] - ETA: 5s - loss: 39.5231 - logits_profile_predictions_loss: 39.2235 - logcount_predictions_loss: 0.2996 373/378 [============================>.] - ETA: 4s - loss: 39.5078 - logits_profile_predictions_loss: 39.2081 - logcount_predictions_loss: 0.2997 374/378 [============================>.] - ETA: 3s - loss: 39.5003 - logits_profile_predictions_loss: 39.2006 - logcount_predictions_loss: 0.2997 375/378 [============================>.] - ETA: 2s - loss: 39.5131 - logits_profile_predictions_loss: 39.2135 - logcount_predictions_loss: 0.2996 376/378 [============================>.] - ETA: 1s - loss: 39.5120 - logits_profile_predictions_loss: 39.2122 - logcount_predictions_loss: 0.2998 377/378 [============================>.] - ETA: 0s - loss: 39.4982 - logits_profile_predictions_loss: 39.1983 - logcount_predictions_loss: 0.2999 378/378 [==============================] - ETA: 0s - loss: 39.4978 - logits_profile_predictions_loss: 39.1980 - logcount_predictions_loss: 0.2998 Epoch 7: val_loss did not improve from 41.52061  378/378 [==============================] - 339s 899ms/step - loss: 39.4978 - logits_profile_predictions_loss: 39.1980 - logcount_predictions_loss: 0.2998 - val_loss: 41.6118 - val_logits_profile_predictions_loss: 41.3657 - val_logcount_predictions_loss: 0.2461 Epoch 8/50 1/378 [..............................] - ETA: 4:38 - loss: 40.1296 - logits_profile_predictions_loss: 39.9265 - logcount_predictions_loss: 0.2031 2/378 [..............................] - ETA: 4:30 - loss: 40.8278 - logits_profile_predictions_loss: 40.5550 - logcount_predictions_loss: 0.2728 3/378 [..............................] - ETA: 4:31 - loss: 41.1412 - logits_profile_predictions_loss: 40.8476 - logcount_predictions_loss: 0.2936 4/378 [..............................] - ETA: 4:31 - loss: 41.8958 - logits_profile_predictions_loss: 41.6039 - logcount_predictions_loss: 0.2919 5/378 [..............................] - ETA: 4:31 - loss: 41.5292 - logits_profile_predictions_loss: 41.2286 - logcount_predictions_loss: 0.3005 6/378 [..............................] - ETA: 4:32 - loss: 43.1348 - logits_profile_predictions_loss: 42.8220 - logcount_predictions_loss: 0.3128 7/378 [..............................] - ETA: 4:32 - loss: 41.6693 - logits_profile_predictions_loss: 41.3663 - logcount_predictions_loss: 0.3031 8/378 [..............................] - ETA: 4:32 - loss: 40.8087 - logits_profile_predictions_loss: 40.5086 - logcount_predictions_loss: 0.3001 9/378 [..............................] - ETA: 4:31 - loss: 40.8158 - logits_profile_predictions_loss: 40.5087 - logcount_predictions_loss: 0.3071 10/378 [..............................] - ETA: 4:30 - loss: 40.2137 - logits_profile_predictions_loss: 39.9093 - logcount_predictions_loss: 0.3045 11/378 [..............................] - ETA: 4:29 - loss: 39.8725 - logits_profile_predictions_loss: 39.5744 - logcount_predictions_loss: 0.2981 12/378 [..............................] - ETA: 4:28 - loss: 40.0172 - logits_profile_predictions_loss: 39.7176 - logcount_predictions_loss: 0.2996 13/378 [>.............................] - ETA: 4:29 - loss: 39.8144 - logits_profile_predictions_loss: 39.5194 - logcount_predictions_loss: 0.2950 14/378 [>.............................] - ETA: 4:30 - loss: 40.0842 - logits_profile_predictions_loss: 39.7896 - logcount_predictions_loss: 0.2947 15/378 [>.............................] - ETA: 4:30 - loss: 39.7087 - logits_profile_predictions_loss: 39.4198 - logcount_predictions_loss: 0.2889 16/378 [>.............................] - ETA: 4:30 - loss: 39.5551 - logits_profile_predictions_loss: 39.2710 - logcount_predictions_loss: 0.2842 17/378 [>.............................] - ETA: 4:29 - loss: 39.4270 - logits_profile_predictions_loss: 39.1422 - logcount_predictions_loss: 0.2849 18/378 [>.............................] - ETA: 4:28 - loss: 39.4348 - logits_profile_predictions_loss: 39.1451 - logcount_predictions_loss: 0.2898 19/378 [>.............................] - ETA: 4:28 - loss: 39.6070 - logits_profile_predictions_loss: 39.3176 - logcount_predictions_loss: 0.2894 20/378 [>.............................] - ETA: 4:27 - loss: 39.6830 - logits_profile_predictions_loss: 39.3939 - logcount_predictions_loss: 0.2892 21/378 [>.............................] - ETA: 4:26 - loss: 39.7940 - logits_profile_predictions_loss: 39.5065 - logcount_predictions_loss: 0.2876 22/378 [>.............................] - ETA: 4:26 - loss: 39.7528 - logits_profile_predictions_loss: 39.4674 - logcount_predictions_loss: 0.2854 23/378 [>.............................] - ETA: 4:26 - loss: 39.6375 - logits_profile_predictions_loss: 39.3508 - logcount_predictions_loss: 0.2867 24/378 [>.............................] - ETA: 4:25 - loss: 39.7382 - logits_profile_predictions_loss: 39.4531 - logcount_predictions_loss: 0.2851 25/378 [>.............................] - ETA: 4:25 - loss: 39.8784 - logits_profile_predictions_loss: 39.5909 - logcount_predictions_loss: 0.2875 26/378 [=>............................] - ETA: 4:25 - loss: 39.9062 - logits_profile_predictions_loss: 39.6213 - logcount_predictions_loss: 0.2849 27/378 [=>............................] - ETA: 4:25 - loss: 39.8196 - logits_profile_predictions_loss: 39.5322 - logcount_predictions_loss: 0.2874 28/378 [=>............................] - ETA: 4:24 - loss: 39.9539 - logits_profile_predictions_loss: 39.6674 - logcount_predictions_loss: 0.2865 29/378 [=>............................] - ETA: 4:24 - loss: 39.9150 - logits_profile_predictions_loss: 39.6281 - logcount_predictions_loss: 0.2869 30/378 [=>............................] - ETA: 4:24 - loss: 39.8727 - logits_profile_predictions_loss: 39.5864 - logcount_predictions_loss: 0.2863 31/378 [=>............................] - ETA: 4:24 - loss: 39.9231 - logits_profile_predictions_loss: 39.6370 - logcount_predictions_loss: 0.2860 32/378 [=>............................] - ETA: 4:24 - loss: 39.9066 - logits_profile_predictions_loss: 39.6206 - logcount_predictions_loss: 0.2860 33/378 [=>............................] - ETA: 4:24 - loss: 39.5916 - logits_profile_predictions_loss: 39.3073 - logcount_predictions_loss: 0.2843 34/378 [=>............................] - ETA: 4:24 - loss: 39.4883 - logits_profile_predictions_loss: 39.2044 - logcount_predictions_loss: 0.2838 35/378 [=>............................] - ETA: 4:24 - loss: 39.4805 - logits_profile_predictions_loss: 39.1972 - logcount_predictions_loss: 0.2834 36/378 [=>............................] - ETA: 4:24 - loss: 39.5202 - logits_profile_predictions_loss: 39.2361 - logcount_predictions_loss: 0.2841 37/378 [=>............................] - ETA: 4:23 - loss: 39.4864 - logits_profile_predictions_loss: 39.1987 - logcount_predictions_loss: 0.2876 38/378 [==>...........................] - ETA: 4:22 - loss: 39.3858 - logits_profile_predictions_loss: 39.0994 - logcount_predictions_loss: 0.2865 39/378 [==>...........................] - ETA: 4:22 - loss: 39.2535 - logits_profile_predictions_loss: 38.9675 - logcount_predictions_loss: 0.2860 40/378 [==>...........................] - ETA: 4:22 - loss: 39.1940 - logits_profile_predictions_loss: 38.9072 - logcount_predictions_loss: 0.2868 41/378 [==>...........................] - ETA: 4:21 - loss: 39.1075 - logits_profile_predictions_loss: 38.8186 - logcount_predictions_loss: 0.2888 42/378 [==>...........................] - ETA: 4:20 - loss: 39.0296 - logits_profile_predictions_loss: 38.7392 - logcount_predictions_loss: 0.2904 43/378 [==>...........................] - ETA: 4:20 - loss: 38.9855 - logits_profile_predictions_loss: 38.6953 - logcount_predictions_loss: 0.2902 44/378 [==>...........................] - ETA: 4:19 - loss: 38.9818 - logits_profile_predictions_loss: 38.6930 - logcount_predictions_loss: 0.2888 45/378 [==>...........................] - ETA: 4:19 - loss: 38.9699 - logits_profile_predictions_loss: 38.6815 - logcount_predictions_loss: 0.2884 46/378 [==>...........................] - ETA: 4:19 - loss: 39.0101 - logits_profile_predictions_loss: 38.7202 - logcount_predictions_loss: 0.2899 47/378 [==>...........................] - ETA: 4:18 - loss: 39.1706 - logits_profile_predictions_loss: 38.8801 - logcount_predictions_loss: 0.2905 48/378 [==>...........................] - ETA: 4:17 - loss: 38.9966 - logits_profile_predictions_loss: 38.7074 - logcount_predictions_loss: 0.2893 49/378 [==>...........................] - 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logcount_predictions_loss: 0.2953 63/378 [====>.........................] - ETA: 4:09 - loss: 39.1468 - logits_profile_predictions_loss: 38.8493 - logcount_predictions_loss: 0.2975 64/378 [====>.........................] - ETA: 4:08 - loss: 39.2593 - logits_profile_predictions_loss: 38.9593 - logcount_predictions_loss: 0.3000 65/378 [====>.........................] - ETA: 4:08 - loss: 39.2233 - logits_profile_predictions_loss: 38.9242 - logcount_predictions_loss: 0.2991 66/378 [====>.........................] - ETA: 4:07 - loss: 39.1785 - logits_profile_predictions_loss: 38.8774 - logcount_predictions_loss: 0.3011 67/378 [====>.........................] - ETA: 4:06 - loss: 39.2024 - logits_profile_predictions_loss: 38.8986 - logcount_predictions_loss: 0.3037 68/378 [====>.........................] - ETA: 4:05 - loss: 39.1817 - logits_profile_predictions_loss: 38.8785 - logcount_predictions_loss: 0.3032 69/378 [====>.........................] - ETA: 4:05 - loss: 39.2211 - 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ETA: 4:01 - loss: 39.1237 - logits_profile_predictions_loss: 38.8039 - logcount_predictions_loss: 0.3197 77/378 [=====>........................] - ETA: 4:00 - loss: 39.0502 - logits_profile_predictions_loss: 38.7299 - logcount_predictions_loss: 0.3203 78/378 [=====>........................] - ETA: 3:59 - loss: 39.0033 - logits_profile_predictions_loss: 38.6811 - logcount_predictions_loss: 0.3221 79/378 [=====>........................] - ETA: 3:59 - loss: 39.0262 - logits_profile_predictions_loss: 38.7049 - logcount_predictions_loss: 0.3213 80/378 [=====>........................] - ETA: 3:58 - loss: 38.9981 - logits_profile_predictions_loss: 38.6779 - logcount_predictions_loss: 0.3202 81/378 [=====>........................] - ETA: 3:58 - loss: 38.9902 - logits_profile_predictions_loss: 38.6697 - logcount_predictions_loss: 0.3205 82/378 [=====>........................] - ETA: 3:57 - loss: 39.0875 - logits_profile_predictions_loss: 38.7665 - logcount_predictions_loss: 0.3210 83/378 [=====>........................] - ETA: 3:56 - loss: 39.0799 - logits_profile_predictions_loss: 38.7595 - logcount_predictions_loss: 0.3204 84/378 [=====>........................] - ETA: 3:56 - loss: 39.0996 - logits_profile_predictions_loss: 38.7791 - logcount_predictions_loss: 0.3205 85/378 [=====>........................] - ETA: 3:55 - loss: 39.1137 - logits_profile_predictions_loss: 38.7932 - logcount_predictions_loss: 0.3204 86/378 [=====>........................] - ETA: 3:54 - loss: 39.1694 - logits_profile_predictions_loss: 38.8492 - logcount_predictions_loss: 0.3203 87/378 [=====>........................] - ETA: 3:53 - loss: 39.1211 - logits_profile_predictions_loss: 38.8009 - logcount_predictions_loss: 0.3202 88/378 [=====>........................] - ETA: 3:53 - loss: 39.1558 - logits_profile_predictions_loss: 38.8359 - logcount_predictions_loss: 0.3199 89/378 [======>.......................] - ETA: 3:52 - loss: 39.1788 - logits_profile_predictions_loss: 38.8590 - 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[=======>......................] - ETA: 3:42 - loss: 39.2598 - logits_profile_predictions_loss: 38.9422 - logcount_predictions_loss: 0.3176 104/378 [=======>......................] - ETA: 3:41 - loss: 39.2754 - logits_profile_predictions_loss: 38.9581 - logcount_predictions_loss: 0.3173 105/378 [=======>......................] - ETA: 3:41 - loss: 39.3038 - logits_profile_predictions_loss: 38.9872 - logcount_predictions_loss: 0.3167 106/378 [=======>......................] - ETA: 3:40 - loss: 39.2671 - logits_profile_predictions_loss: 38.9515 - logcount_predictions_loss: 0.3156 107/378 [=======>......................] - ETA: 3:39 - loss: 39.2386 - logits_profile_predictions_loss: 38.9230 - logcount_predictions_loss: 0.3156 108/378 [=======>......................] - ETA: 3:38 - loss: 39.2900 - logits_profile_predictions_loss: 38.9734 - logcount_predictions_loss: 0.3166 109/378 [=======>......................] - ETA: 3:38 - loss: 39.3102 - logits_profile_predictions_loss: 38.9940 - 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[========>.....................] - ETA: 3:27 - loss: 39.3337 - logits_profile_predictions_loss: 39.0206 - logcount_predictions_loss: 0.3131 124/378 [========>.....................] - ETA: 3:27 - loss: 39.3695 - logits_profile_predictions_loss: 39.0565 - logcount_predictions_loss: 0.3131 125/378 [========>.....................] - ETA: 3:26 - loss: 39.4220 - logits_profile_predictions_loss: 39.1097 - logcount_predictions_loss: 0.3124 126/378 [=========>....................] - ETA: 3:25 - loss: 39.4317 - logits_profile_predictions_loss: 39.1194 - logcount_predictions_loss: 0.3124 127/378 [=========>....................] - ETA: 3:24 - loss: 39.4404 - logits_profile_predictions_loss: 39.1281 - logcount_predictions_loss: 0.3123 128/378 [=========>....................] - ETA: 3:24 - loss: 39.4477 - logits_profile_predictions_loss: 39.1361 - logcount_predictions_loss: 0.3116 129/378 [=========>....................] - ETA: 3:23 - loss: 39.4460 - logits_profile_predictions_loss: 39.1347 - 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[==========>...................] - ETA: 3:12 - loss: 39.5192 - logits_profile_predictions_loss: 39.2080 - logcount_predictions_loss: 0.3112 144/378 [==========>...................] - ETA: 3:12 - loss: 39.5147 - logits_profile_predictions_loss: 39.2031 - logcount_predictions_loss: 0.3116 145/378 [==========>...................] - ETA: 3:11 - loss: 39.5051 - logits_profile_predictions_loss: 39.1938 - logcount_predictions_loss: 0.3114 146/378 [==========>...................] - ETA: 3:10 - loss: 39.5282 - logits_profile_predictions_loss: 39.2172 - logcount_predictions_loss: 0.3111 147/378 [==========>...................] - ETA: 3:09 - loss: 39.5107 - logits_profile_predictions_loss: 39.1999 - logcount_predictions_loss: 0.3108 148/378 [==========>...................] - ETA: 3:08 - loss: 39.4957 - logits_profile_predictions_loss: 39.1846 - logcount_predictions_loss: 0.3112 149/378 [==========>...................] - ETA: 3:08 - loss: 39.4947 - logits_profile_predictions_loss: 39.1837 - 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[===========>..................] - ETA: 2:57 - loss: 39.4394 - logits_profile_predictions_loss: 39.1243 - logcount_predictions_loss: 0.3151 164/378 [============>.................] - ETA: 2:56 - loss: 39.4271 - logits_profile_predictions_loss: 39.1116 - logcount_predictions_loss: 0.3155 165/378 [============>.................] - ETA: 2:55 - loss: 39.4210 - logits_profile_predictions_loss: 39.1055 - logcount_predictions_loss: 0.3155 166/378 [============>.................] - ETA: 2:54 - loss: 39.4716 - logits_profile_predictions_loss: 39.1562 - logcount_predictions_loss: 0.3154 167/378 [============>.................] - ETA: 2:54 - loss: 39.5330 - logits_profile_predictions_loss: 39.2173 - logcount_predictions_loss: 0.3157 168/378 [============>.................] - ETA: 2:53 - loss: 39.5309 - logits_profile_predictions_loss: 39.2138 - logcount_predictions_loss: 0.3171 169/378 [============>.................] - ETA: 2:52 - loss: 39.4685 - logits_profile_predictions_loss: 39.1513 - 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[===========================>..] - ETA: 17s - loss: 39.5453 - logits_profile_predictions_loss: 39.2319 - logcount_predictions_loss: 0.3134 358/378 [===========================>..] - ETA: 16s - loss: 39.5523 - logits_profile_predictions_loss: 39.2392 - logcount_predictions_loss: 0.3131 359/378 [===========================>..] - ETA: 16s - loss: 39.5535 - logits_profile_predictions_loss: 39.2403 - logcount_predictions_loss: 0.3132 360/378 [===========================>..] - ETA: 15s - loss: 39.5657 - logits_profile_predictions_loss: 39.2526 - logcount_predictions_loss: 0.3131 361/378 [===========================>..] - ETA: 14s - loss: 39.5683 - logits_profile_predictions_loss: 39.2550 - logcount_predictions_loss: 0.3133 362/378 [===========================>..] - ETA: 13s - loss: 39.5781 - logits_profile_predictions_loss: 39.2648 - logcount_predictions_loss: 0.3133 363/378 [===========================>..] - ETA: 12s - loss: 39.5781 - logits_profile_predictions_loss: 39.2651 - 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0s - loss: 39.5706 - logits_profile_predictions_loss: 39.2589 - logcount_predictions_loss: 0.3117 378/378 [==============================] - ETA: 0s - loss: 39.5595 - logits_profile_predictions_loss: 39.2477 - logcount_predictions_loss: 0.3118 Epoch 8: val_loss improved from 41.52061 to 41.50948, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.endocardial.In/fold_4/models/chrombpnet.h5  378/378 [==============================] - 340s 900ms/step - loss: 39.5595 - logits_profile_predictions_loss: 39.2477 - logcount_predictions_loss: 0.3118 - val_loss: 41.5095 - val_logits_profile_predictions_loss: 41.2572 - val_logcount_predictions_loss: 0.2523 Epoch 9/50 1/378 [..............................] - ETA: 4:35 - loss: 43.6205 - logits_profile_predictions_loss: 43.2426 - logcount_predictions_loss: 0.3779 2/378 [..............................] - ETA: 4:31 - loss: 40.5674 - logits_profile_predictions_loss: 40.2642 - 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[>.............................] - ETA: 4:28 - loss: 39.3569 - logits_profile_predictions_loss: 39.0573 - logcount_predictions_loss: 0.2996 24/378 [>.............................] - ETA: 4:28 - loss: 39.1311 - logits_profile_predictions_loss: 38.8348 - logcount_predictions_loss: 0.2963 25/378 [>.............................] - ETA: 4:28 - loss: 38.8598 - logits_profile_predictions_loss: 38.5660 - logcount_predictions_loss: 0.2938 26/378 [=>............................] - ETA: 4:29 - loss: 39.0813 - logits_profile_predictions_loss: 38.7870 - logcount_predictions_loss: 0.2943 27/378 [=>............................] - ETA: 4:29 - loss: 39.1836 - logits_profile_predictions_loss: 38.8906 - logcount_predictions_loss: 0.2930 28/378 [=>............................] - ETA: 4:29 - loss: 39.2050 - logits_profile_predictions_loss: 38.9123 - logcount_predictions_loss: 0.2927 29/378 [=>............................] - ETA: 4:28 - loss: 39.2661 - logits_profile_predictions_loss: 38.9744 - 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[==>...........................] - ETA: 4:21 - loss: 38.8421 - logits_profile_predictions_loss: 38.5535 - logcount_predictions_loss: 0.2886 51/378 [===>..........................] - ETA: 4:21 - loss: 38.9580 - logits_profile_predictions_loss: 38.6688 - logcount_predictions_loss: 0.2892 52/378 [===>..........................] - ETA: 4:20 - loss: 38.9676 - logits_profile_predictions_loss: 38.6776 - logcount_predictions_loss: 0.2899 53/378 [===>..........................] - ETA: 4:20 - loss: 38.9328 - logits_profile_predictions_loss: 38.6421 - logcount_predictions_loss: 0.2907 54/378 [===>..........................] - ETA: 4:19 - loss: 38.8690 - logits_profile_predictions_loss: 38.5773 - logcount_predictions_loss: 0.2917 55/378 [===>..........................] - ETA: 4:18 - loss: 38.8882 - logits_profile_predictions_loss: 38.5969 - logcount_predictions_loss: 0.2912 56/378 [===>..........................] - ETA: 4:18 - loss: 38.8902 - logits_profile_predictions_loss: 38.5997 - 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[=====>........................] - ETA: 4:04 - loss: 38.9097 - logits_profile_predictions_loss: 38.6185 - logcount_predictions_loss: 0.2911 78/378 [=====>........................] - ETA: 4:03 - loss: 38.9294 - logits_profile_predictions_loss: 38.6382 - logcount_predictions_loss: 0.2912 79/378 [=====>........................] - ETA: 4:02 - loss: 38.9155 - logits_profile_predictions_loss: 38.6246 - logcount_predictions_loss: 0.2909 80/378 [=====>........................] - ETA: 4:02 - loss: 38.8991 - logits_profile_predictions_loss: 38.6074 - logcount_predictions_loss: 0.2917 81/378 [=====>........................] - ETA: 4:01 - loss: 38.9383 - logits_profile_predictions_loss: 38.6469 - logcount_predictions_loss: 0.2913 82/378 [=====>........................] - ETA: 4:00 - loss: 38.9973 - logits_profile_predictions_loss: 38.7063 - logcount_predictions_loss: 0.2910 83/378 [=====>........................] - ETA: 4:00 - loss: 38.9244 - logits_profile_predictions_loss: 38.6336 - 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[=====================>........] - ETA: 1:19 - loss: 39.1852 - logits_profile_predictions_loss: 38.8917 - logcount_predictions_loss: 0.2935 285/378 [=====================>........] - ETA: 1:19 - loss: 39.1560 - logits_profile_predictions_loss: 38.8624 - logcount_predictions_loss: 0.2935 286/378 [=====================>........] - ETA: 1:18 - loss: 39.1631 - logits_profile_predictions_loss: 38.8693 - logcount_predictions_loss: 0.2938 287/378 [=====================>........] - ETA: 1:17 - loss: 39.1740 - logits_profile_predictions_loss: 38.8796 - logcount_predictions_loss: 0.2944 288/378 [=====================>........] - ETA: 1:16 - loss: 39.1923 - logits_profile_predictions_loss: 38.8970 - logcount_predictions_loss: 0.2952 289/378 [=====================>........] - ETA: 1:15 - loss: 39.1879 - logits_profile_predictions_loss: 38.8928 - logcount_predictions_loss: 0.2951 290/378 [======================>.......] - ETA: 1:14 - loss: 39.1568 - logits_profile_predictions_loss: 38.8617 - 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[=======================>......] - ETA: 1:02 - loss: 39.1883 - logits_profile_predictions_loss: 38.8944 - logcount_predictions_loss: 0.2939 305/378 [=======================>......] - ETA: 1:02 - loss: 39.1912 - logits_profile_predictions_loss: 38.8974 - logcount_predictions_loss: 0.2938 306/378 [=======================>......] - ETA: 1:01 - loss: 39.1775 - logits_profile_predictions_loss: 38.8838 - logcount_predictions_loss: 0.2937 307/378 [=======================>......] - ETA: 1:00 - loss: 39.1943 - logits_profile_predictions_loss: 38.9005 - logcount_predictions_loss: 0.2937 308/378 [=======================>......] - ETA: 59s - loss: 39.1832 - logits_profile_predictions_loss: 38.8895 - logcount_predictions_loss: 0.2936  309/378 [=======================>......] - ETA: 58s - loss: 39.1814 - logits_profile_predictions_loss: 38.8878 - logcount_predictions_loss: 0.2937 310/378 [=======================>......] - ETA: 57s - loss: 39.1752 - logits_profile_predictions_loss: 38.8812 - 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- ETA: 46s - loss: 39.1583 - logits_profile_predictions_loss: 38.8651 - logcount_predictions_loss: 0.2931 325/378 [========================>.....] - ETA: 45s - loss: 39.1524 - logits_profile_predictions_loss: 38.8592 - logcount_predictions_loss: 0.2932 326/378 [========================>.....] - ETA: 44s - loss: 39.1523 - logits_profile_predictions_loss: 38.8595 - logcount_predictions_loss: 0.2928 327/378 [========================>.....] - ETA: 43s - loss: 39.1680 - logits_profile_predictions_loss: 38.8753 - logcount_predictions_loss: 0.2926 328/378 [=========================>....] - ETA: 42s - loss: 39.1627 - logits_profile_predictions_loss: 38.8703 - logcount_predictions_loss: 0.2924 329/378 [=========================>....] - ETA: 41s - loss: 39.1744 - logits_profile_predictions_loss: 38.8823 - logcount_predictions_loss: 0.2921 330/378 [=========================>....] - ETA: 40s - loss: 39.1999 - logits_profile_predictions_loss: 38.9078 - logcount_predictions_loss: 0.2920 331/378 [=========================>....] - ETA: 40s - loss: 39.1755 - logits_profile_predictions_loss: 38.8838 - logcount_predictions_loss: 0.2918 332/378 [=========================>....] - ETA: 39s - loss: 39.1674 - logits_profile_predictions_loss: 38.8755 - logcount_predictions_loss: 0.2919 333/378 [=========================>....] - ETA: 38s - loss: 39.1535 - logits_profile_predictions_loss: 38.8616 - logcount_predictions_loss: 0.2919 334/378 [=========================>....] - ETA: 37s - loss: 39.1540 - logits_profile_predictions_loss: 38.8622 - logcount_predictions_loss: 0.2918 335/378 [=========================>....] - ETA: 36s - loss: 39.1423 - logits_profile_predictions_loss: 38.8506 - logcount_predictions_loss: 0.2917 336/378 [=========================>....] - ETA: 35s - loss: 39.1384 - logits_profile_predictions_loss: 38.8464 - logcount_predictions_loss: 0.2920 337/378 [=========================>....] - ETA: 35s - loss: 39.1289 - logits_profile_predictions_loss: 38.8370 - 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- ETA: 23s - loss: 39.1489 - logits_profile_predictions_loss: 38.8577 - logcount_predictions_loss: 0.2912 352/378 [==========================>...] - ETA: 22s - loss: 39.1393 - logits_profile_predictions_loss: 38.8479 - logcount_predictions_loss: 0.2914 353/378 [===========================>..] - ETA: 21s - loss: 39.1505 - logits_profile_predictions_loss: 38.8590 - logcount_predictions_loss: 0.2915 354/378 [===========================>..] - ETA: 20s - loss: 39.1557 - logits_profile_predictions_loss: 38.8642 - logcount_predictions_loss: 0.2915 355/378 [===========================>..] - ETA: 19s - loss: 39.1641 - logits_profile_predictions_loss: 38.8724 - logcount_predictions_loss: 0.2917 356/378 [===========================>..] - ETA: 18s - loss: 39.1781 - logits_profile_predictions_loss: 38.8863 - logcount_predictions_loss: 0.2918 357/378 [===========================>..] - ETA: 17s - loss: 39.1703 - logits_profile_predictions_loss: 38.8787 - logcount_predictions_loss: 0.2917 358/378 [===========================>..] - ETA: 17s - loss: 39.1792 - logits_profile_predictions_loss: 38.8876 - logcount_predictions_loss: 0.2916 359/378 [===========================>..] - ETA: 16s - loss: 39.1639 - logits_profile_predictions_loss: 38.8727 - logcount_predictions_loss: 0.2912 360/378 [===========================>..] - ETA: 15s - loss: 39.1769 - logits_profile_predictions_loss: 38.8858 - logcount_predictions_loss: 0.2911 361/378 [===========================>..] - ETA: 14s - loss: 39.1882 - logits_profile_predictions_loss: 38.8972 - logcount_predictions_loss: 0.2910 362/378 [===========================>..] - ETA: 13s - loss: 39.1863 - logits_profile_predictions_loss: 38.8953 - logcount_predictions_loss: 0.2910 363/378 [===========================>..] - ETA: 12s - loss: 39.1915 - logits_profile_predictions_loss: 38.9005 - logcount_predictions_loss: 0.2911 364/378 [===========================>..] - ETA: 11s - loss: 39.1862 - logits_profile_predictions_loss: 38.8954 - 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logits_profile_predictions_loss: 38.8840 - logcount_predictions_loss: 0.2900 372/378 [============================>.] - ETA: 5s - loss: 39.1773 - logits_profile_predictions_loss: 38.8873 - logcount_predictions_loss: 0.2900 373/378 [============================>.] - ETA: 4s - loss: 39.1818 - logits_profile_predictions_loss: 38.8916 - logcount_predictions_loss: 0.2902 374/378 [============================>.] - ETA: 3s - loss: 39.1791 - logits_profile_predictions_loss: 38.8890 - logcount_predictions_loss: 0.2901 375/378 [============================>.] - ETA: 2s - loss: 39.1881 - logits_profile_predictions_loss: 38.8979 - logcount_predictions_loss: 0.2903 376/378 [============================>.] - ETA: 1s - loss: 39.1958 - logits_profile_predictions_loss: 38.9056 - logcount_predictions_loss: 0.2902 377/378 [============================>.] - ETA: 0s - loss: 39.1860 - logits_profile_predictions_loss: 38.8958 - logcount_predictions_loss: 0.2901 378/378 [==============================] - ETA: 0s - loss: 39.1839 - logits_profile_predictions_loss: 38.8937 - logcount_predictions_loss: 0.2902 Epoch 9: val_loss did not improve from 41.50948  378/378 [==============================] - 344s 910ms/step - loss: 39.1839 - logits_profile_predictions_loss: 38.8937 - logcount_predictions_loss: 0.2902 - val_loss: 41.6561 - val_logits_profile_predictions_loss: 41.4108 - val_logcount_predictions_loss: 0.2454 Epoch 10/50 1/378 [..............................] - ETA: 4:36 - loss: 35.0289 - logits_profile_predictions_loss: 34.7320 - logcount_predictions_loss: 0.2969 2/378 [..............................] - ETA: 4:30 - loss: 36.0850 - logits_profile_predictions_loss: 35.8401 - logcount_predictions_loss: 0.2449 3/378 [..............................] - ETA: 4:31 - loss: 37.5151 - logits_profile_predictions_loss: 37.2382 - logcount_predictions_loss: 0.2770 4/378 [..............................] - ETA: 4:31 - loss: 39.1516 - logits_profile_predictions_loss: 38.8906 - logcount_predictions_loss: 0.2610 5/378 [..............................] - ETA: 4:32 - loss: 37.7552 - logits_profile_predictions_loss: 37.4991 - logcount_predictions_loss: 0.2561 6/378 [..............................] - ETA: 4:32 - loss: 38.7150 - logits_profile_predictions_loss: 38.4653 - logcount_predictions_loss: 0.2498 7/378 [..............................] - ETA: 4:33 - loss: 39.1932 - logits_profile_predictions_loss: 38.9361 - logcount_predictions_loss: 0.2571 8/378 [..............................] - ETA: 4:33 - loss: 39.0290 - logits_profile_predictions_loss: 38.7807 - logcount_predictions_loss: 0.2483 9/378 [..............................] - ETA: 4:32 - loss: 38.3680 - logits_profile_predictions_loss: 38.1196 - logcount_predictions_loss: 0.2483 10/378 [..............................] - ETA: 4:32 - loss: 38.6228 - logits_profile_predictions_loss: 38.3769 - logcount_predictions_loss: 0.2459 11/378 [..............................] - ETA: 4:31 - loss: 38.0172 - logits_profile_predictions_loss: 37.7750 - logcount_predictions_loss: 0.2422 12/378 [..............................] - ETA: 4:30 - loss: 37.8666 - logits_profile_predictions_loss: 37.6227 - logcount_predictions_loss: 0.2439 13/378 [>.............................] - ETA: 4:30 - loss: 37.9332 - logits_profile_predictions_loss: 37.6822 - logcount_predictions_loss: 0.2510 14/378 [>.............................] - ETA: 4:30 - loss: 38.2626 - logits_profile_predictions_loss: 38.0124 - logcount_predictions_loss: 0.2502 15/378 [>.............................] - ETA: 4:31 - loss: 38.1312 - logits_profile_predictions_loss: 37.8844 - logcount_predictions_loss: 0.2467 16/378 [>.............................] - ETA: 4:30 - loss: 38.3889 - logits_profile_predictions_loss: 38.1370 - logcount_predictions_loss: 0.2519 17/378 [>.............................] - ETA: 4:29 - loss: 38.4657 - logits_profile_predictions_loss: 38.2159 - logcount_predictions_loss: 0.2498 18/378 [>.............................] - ETA: 4:28 - loss: 38.2485 - logits_profile_predictions_loss: 37.9993 - logcount_predictions_loss: 0.2492 19/378 [>.............................] - ETA: 4:28 - loss: 38.5650 - logits_profile_predictions_loss: 38.3169 - logcount_predictions_loss: 0.2481 20/378 [>.............................] - ETA: 4:27 - loss: 38.6718 - logits_profile_predictions_loss: 38.4149 - logcount_predictions_loss: 0.2569 21/378 [>.............................] - ETA: 4:27 - loss: 38.9041 - logits_profile_predictions_loss: 38.6483 - logcount_predictions_loss: 0.2559 22/378 [>.............................] - ETA: 4:27 - loss: 38.9842 - logits_profile_predictions_loss: 38.7317 - logcount_predictions_loss: 0.2525 23/378 [>.............................] - ETA: 4:28 - loss: 39.0082 - logits_profile_predictions_loss: 38.7550 - logcount_predictions_loss: 0.2532 24/378 [>.............................] - ETA: 4:27 - loss: 39.0945 - logits_profile_predictions_loss: 38.8412 - logcount_predictions_loss: 0.2533 25/378 [>.............................] - ETA: 4:27 - loss: 39.0541 - logits_profile_predictions_loss: 38.8020 - logcount_predictions_loss: 0.2521 26/378 [=>............................] - ETA: 4:27 - loss: 38.7840 - logits_profile_predictions_loss: 38.5336 - logcount_predictions_loss: 0.2504 27/378 [=>............................] - ETA: 4:27 - loss: 38.9386 - logits_profile_predictions_loss: 38.6881 - logcount_predictions_loss: 0.2504 28/378 [=>............................] - ETA: 4:28 - loss: 39.1620 - logits_profile_predictions_loss: 38.9132 - logcount_predictions_loss: 0.2488 29/378 [=>............................] - ETA: 4:27 - loss: 39.0672 - logits_profile_predictions_loss: 38.8188 - logcount_predictions_loss: 0.2484 30/378 [=>............................] - ETA: 4:27 - loss: 38.9728 - logits_profile_predictions_loss: 38.7215 - logcount_predictions_loss: 0.2513 31/378 [=>............................] - ETA: 4:27 - loss: 39.1374 - logits_profile_predictions_loss: 38.8835 - logcount_predictions_loss: 0.2538 32/378 [=>............................] - ETA: 4:27 - loss: 39.0085 - logits_profile_predictions_loss: 38.7553 - logcount_predictions_loss: 0.2533 33/378 [=>............................] - ETA: 4:27 - loss: 39.2158 - logits_profile_predictions_loss: 38.9604 - logcount_predictions_loss: 0.2554 34/378 [=>............................] - ETA: 4:27 - loss: 39.1768 - logits_profile_predictions_loss: 38.9218 - logcount_predictions_loss: 0.2550 35/378 [=>............................] - ETA: 4:26 - loss: 39.1685 - logits_profile_predictions_loss: 38.9139 - logcount_predictions_loss: 0.2546 36/378 [=>............................] - ETA: 4:25 - loss: 39.0229 - logits_profile_predictions_loss: 38.7703 - logcount_predictions_loss: 0.2526 37/378 [=>............................] - ETA: 4:26 - loss: 38.9560 - logits_profile_predictions_loss: 38.7020 - logcount_predictions_loss: 0.2540 38/378 [==>...........................] - ETA: 4:26 - loss: 38.8826 - logits_profile_predictions_loss: 38.6250 - logcount_predictions_loss: 0.2576 39/378 [==>...........................] - ETA: 4:25 - loss: 38.8164 - logits_profile_predictions_loss: 38.5577 - logcount_predictions_loss: 0.2587 40/378 [==>...........................] - ETA: 4:25 - loss: 38.6541 - logits_profile_predictions_loss: 38.3974 - logcount_predictions_loss: 0.2566 41/378 [==>...........................] - ETA: 4:24 - loss: 38.5070 - logits_profile_predictions_loss: 38.2486 - logcount_predictions_loss: 0.2584 42/378 [==>...........................] - ETA: 4:24 - loss: 38.5475 - logits_profile_predictions_loss: 38.2883 - logcount_predictions_loss: 0.2592 43/378 [==>...........................] - ETA: 4:23 - loss: 38.5372 - logits_profile_predictions_loss: 38.2751 - logcount_predictions_loss: 0.2621 44/378 [==>...........................] - ETA: 4:23 - loss: 38.4401 - logits_profile_predictions_loss: 38.1784 - logcount_predictions_loss: 0.2618 45/378 [==>...........................] - ETA: 4:22 - loss: 38.3779 - logits_profile_predictions_loss: 38.1160 - logcount_predictions_loss: 0.2619 46/378 [==>...........................] - ETA: 4:22 - loss: 38.3940 - logits_profile_predictions_loss: 38.1323 - logcount_predictions_loss: 0.2617 47/378 [==>...........................] - ETA: 4:21 - loss: 38.3249 - logits_profile_predictions_loss: 38.0616 - logcount_predictions_loss: 0.2633 48/378 [==>...........................] - ETA: 4:21 - loss: 38.3627 - logits_profile_predictions_loss: 38.0992 - logcount_predictions_loss: 0.2635 49/378 [==>...........................] - ETA: 4:20 - loss: 38.2571 - logits_profile_predictions_loss: 37.9939 - logcount_predictions_loss: 0.2632 50/378 [==>...........................] - ETA: 4:20 - loss: 38.2632 - logits_profile_predictions_loss: 38.0007 - logcount_predictions_loss: 0.2624 51/378 [===>..........................] - ETA: 4:19 - loss: 38.1977 - logits_profile_predictions_loss: 37.9363 - logcount_predictions_loss: 0.2615 52/378 [===>..........................] - ETA: 4:19 - loss: 38.3397 - logits_profile_predictions_loss: 38.0767 - logcount_predictions_loss: 0.2630 53/378 [===>..........................] - ETA: 4:18 - loss: 38.3464 - logits_profile_predictions_loss: 38.0831 - logcount_predictions_loss: 0.2632 54/378 [===>..........................] - ETA: 4:17 - loss: 38.2984 - logits_profile_predictions_loss: 38.0353 - logcount_predictions_loss: 0.2631 55/378 [===>..........................] - ETA: 4:18 - loss: 38.2298 - logits_profile_predictions_loss: 37.9667 - logcount_predictions_loss: 0.2631 56/378 [===>..........................] - ETA: 4:18 - loss: 38.3617 - logits_profile_predictions_loss: 38.0981 - logcount_predictions_loss: 0.2636 57/378 [===>..........................] - ETA: 4:17 - loss: 38.4086 - logits_profile_predictions_loss: 38.1439 - logcount_predictions_loss: 0.2647 58/378 [===>..........................] - ETA: 4:17 - loss: 38.3744 - logits_profile_predictions_loss: 38.1100 - logcount_predictions_loss: 0.2644 59/378 [===>..........................] - ETA: 4:16 - loss: 38.4087 - logits_profile_predictions_loss: 38.1425 - logcount_predictions_loss: 0.2662 60/378 [===>..........................] - ETA: 4:15 - loss: 38.5045 - logits_profile_predictions_loss: 38.2375 - logcount_predictions_loss: 0.2670 61/378 [===>..........................] - ETA: 4:14 - loss: 38.4455 - logits_profile_predictions_loss: 38.1750 - logcount_predictions_loss: 0.2705 62/378 [===>..........................] - ETA: 4:14 - loss: 38.4031 - logits_profile_predictions_loss: 38.1301 - logcount_predictions_loss: 0.2730 63/378 [====>.........................] - ETA: 4:14 - loss: 38.3580 - logits_profile_predictions_loss: 38.0858 - logcount_predictions_loss: 0.2722 64/378 [====>.........................] - ETA: 4:13 - loss: 38.3725 - logits_profile_predictions_loss: 38.0998 - logcount_predictions_loss: 0.2727 65/378 [====>.........................] - ETA: 4:12 - loss: 38.4202 - logits_profile_predictions_loss: 38.1447 - logcount_predictions_loss: 0.2755 66/378 [====>.........................] - ETA: 4:11 - loss: 38.4248 - logits_profile_predictions_loss: 38.1490 - logcount_predictions_loss: 0.2758 67/378 [====>.........................] - ETA: 4:11 - loss: 38.4932 - logits_profile_predictions_loss: 38.2176 - logcount_predictions_loss: 0.2756 68/378 [====>.........................] - ETA: 4:10 - loss: 38.4964 - logits_profile_predictions_loss: 38.2203 - logcount_predictions_loss: 0.2761 69/378 [====>.........................] - ETA: 4:10 - loss: 38.5674 - logits_profile_predictions_loss: 38.2930 - logcount_predictions_loss: 0.2744 70/378 [====>.........................] - ETA: 4:09 - loss: 38.5386 - logits_profile_predictions_loss: 38.2642 - logcount_predictions_loss: 0.2744 71/378 [====>.........................] - ETA: 4:08 - loss: 38.4293 - logits_profile_predictions_loss: 38.1540 - logcount_predictions_loss: 0.2752 72/378 [====>.........................] - ETA: 4:07 - loss: 38.4256 - logits_profile_predictions_loss: 38.1480 - logcount_predictions_loss: 0.2776 73/378 [====>.........................] - ETA: 4:07 - loss: 38.5210 - logits_profile_predictions_loss: 38.2413 - logcount_predictions_loss: 0.2797 74/378 [====>.........................] - ETA: 4:06 - loss: 38.6510 - logits_profile_predictions_loss: 38.3714 - logcount_predictions_loss: 0.2796 75/378 [====>.........................] - ETA: 4:06 - loss: 38.6597 - logits_profile_predictions_loss: 38.3775 - logcount_predictions_loss: 0.2822 76/378 [=====>........................] - ETA: 4:05 - loss: 38.7615 - logits_profile_predictions_loss: 38.4753 - logcount_predictions_loss: 0.2862 77/378 [=====>........................] - ETA: 4:04 - loss: 38.8427 - logits_profile_predictions_loss: 38.5543 - logcount_predictions_loss: 0.2884 78/378 [=====>........................] - ETA: 4:03 - loss: 38.7825 - logits_profile_predictions_loss: 38.4934 - logcount_predictions_loss: 0.2891 79/378 [=====>........................] - ETA: 4:03 - loss: 38.7530 - logits_profile_predictions_loss: 38.4638 - logcount_predictions_loss: 0.2892 80/378 [=====>........................] - ETA: 4:02 - loss: 38.7667 - logits_profile_predictions_loss: 38.4755 - logcount_predictions_loss: 0.2911 81/378 [=====>........................] - ETA: 4:01 - loss: 38.7357 - logits_profile_predictions_loss: 38.4427 - logcount_predictions_loss: 0.2930 82/378 [=====>........................] - ETA: 4:00 - loss: 38.7841 - logits_profile_predictions_loss: 38.4888 - logcount_predictions_loss: 0.2953 83/378 [=====>........................] - ETA: 4:00 - loss: 38.8074 - logits_profile_predictions_loss: 38.5125 - logcount_predictions_loss: 0.2949 84/378 [=====>........................] - ETA: 3:59 - loss: 38.7804 - logits_profile_predictions_loss: 38.4831 - logcount_predictions_loss: 0.2973 85/378 [=====>........................] - ETA: 3:59 - loss: 38.7682 - logits_profile_predictions_loss: 38.4718 - logcount_predictions_loss: 0.2964 86/378 [=====>........................] - ETA: 3:58 - loss: 38.8028 - logits_profile_predictions_loss: 38.5066 - logcount_predictions_loss: 0.2962 87/378 [=====>........................] - ETA: 3:57 - loss: 38.7943 - logits_profile_predictions_loss: 38.4976 - logcount_predictions_loss: 0.2967 88/378 [=====>........................] - ETA: 3:57 - loss: 38.7626 - logits_profile_predictions_loss: 38.4650 - logcount_predictions_loss: 0.2976 89/378 [======>.......................] - ETA: 3:56 - loss: 38.6971 - logits_profile_predictions_loss: 38.3993 - logcount_predictions_loss: 0.2978 90/378 [======>.......................] - ETA: 3:55 - loss: 38.6723 - logits_profile_predictions_loss: 38.3737 - logcount_predictions_loss: 0.2986 91/378 [======>.......................] - ETA: 3:55 - loss: 38.6713 - logits_profile_predictions_loss: 38.3711 - logcount_predictions_loss: 0.3002 92/378 [======>.......................] - ETA: 3:54 - loss: 38.6856 - logits_profile_predictions_loss: 38.3830 - logcount_predictions_loss: 0.3026 93/378 [======>.......................] - ETA: 3:53 - loss: 38.6970 - logits_profile_predictions_loss: 38.3939 - logcount_predictions_loss: 0.3031 94/378 [======>.......................] - ETA: 3:52 - loss: 38.7038 - logits_profile_predictions_loss: 38.4011 - logcount_predictions_loss: 0.3026 95/378 [======>.......................] - ETA: 3:52 - loss: 38.6365 - logits_profile_predictions_loss: 38.3327 - logcount_predictions_loss: 0.3038 96/378 [======>.......................] - ETA: 3:51 - loss: 38.6835 - logits_profile_predictions_loss: 38.3796 - logcount_predictions_loss: 0.3038 97/378 [======>.......................] - ETA: 3:50 - loss: 38.7456 - logits_profile_predictions_loss: 38.4410 - logcount_predictions_loss: 0.3046 98/378 [======>.......................] - ETA: 3:49 - loss: 38.7416 - logits_profile_predictions_loss: 38.4372 - logcount_predictions_loss: 0.3044 99/378 [======>.......................] - ETA: 3:49 - loss: 38.7577 - logits_profile_predictions_loss: 38.4534 - logcount_predictions_loss: 0.3043 100/378 [======>.......................] - ETA: 3:48 - loss: 38.8064 - logits_profile_predictions_loss: 38.5016 - logcount_predictions_loss: 0.3048 101/378 [=======>......................] - ETA: 3:47 - loss: 38.8176 - logits_profile_predictions_loss: 38.5129 - logcount_predictions_loss: 0.3046 102/378 [=======>......................] - ETA: 3:47 - loss: 38.8145 - logits_profile_predictions_loss: 38.5102 - logcount_predictions_loss: 0.3043 103/378 [=======>......................] - ETA: 3:46 - loss: 38.8454 - logits_profile_predictions_loss: 38.5415 - logcount_predictions_loss: 0.3039 104/378 [=======>......................] - ETA: 3:45 - loss: 38.8832 - logits_profile_predictions_loss: 38.5785 - logcount_predictions_loss: 0.3047 105/378 [=======>......................] - ETA: 3:44 - loss: 38.8540 - logits_profile_predictions_loss: 38.5491 - logcount_predictions_loss: 0.3050 106/378 [=======>......................] - ETA: 3:44 - loss: 38.9235 - logits_profile_predictions_loss: 38.6180 - logcount_predictions_loss: 0.3054 107/378 [=======>......................] - ETA: 3:43 - loss: 38.8968 - logits_profile_predictions_loss: 38.5920 - logcount_predictions_loss: 0.3049 108/378 [=======>......................] - ETA: 3:42 - loss: 38.8500 - logits_profile_predictions_loss: 38.5458 - logcount_predictions_loss: 0.3042 109/378 [=======>......................] - ETA: 3:41 - loss: 38.8252 - logits_profile_predictions_loss: 38.5211 - logcount_predictions_loss: 0.3041 110/378 [=======>......................] - ETA: 3:41 - loss: 38.8478 - logits_profile_predictions_loss: 38.5440 - logcount_predictions_loss: 0.3038 111/378 [=======>......................] - ETA: 3:40 - loss: 38.8418 - logits_profile_predictions_loss: 38.5379 - logcount_predictions_loss: 0.3038 112/378 [=======>......................] - ETA: 3:39 - loss: 38.8449 - logits_profile_predictions_loss: 38.5421 - logcount_predictions_loss: 0.3028 113/378 [=======>......................] - ETA: 3:38 - loss: 38.8571 - logits_profile_predictions_loss: 38.5543 - logcount_predictions_loss: 0.3028 114/378 [========>.....................] - ETA: 3:37 - loss: 38.8768 - logits_profile_predictions_loss: 38.5736 - logcount_predictions_loss: 0.3032 115/378 [========>.....................] - ETA: 3:36 - loss: 38.8654 - logits_profile_predictions_loss: 38.5630 - logcount_predictions_loss: 0.3024 116/378 [========>.....................] - ETA: 3:36 - loss: 38.9252 - logits_profile_predictions_loss: 38.6235 - logcount_predictions_loss: 0.3017 117/378 [========>.....................] - ETA: 3:35 - loss: 38.8908 - logits_profile_predictions_loss: 38.5896 - logcount_predictions_loss: 0.3012 118/378 [========>.....................] - ETA: 3:34 - loss: 38.9253 - logits_profile_predictions_loss: 38.6243 - logcount_predictions_loss: 0.3009 119/378 [========>.....................] - ETA: 3:33 - loss: 38.9627 - logits_profile_predictions_loss: 38.6616 - logcount_predictions_loss: 0.3010 120/378 [========>.....................] - ETA: 3:33 - loss: 38.9506 - logits_profile_predictions_loss: 38.6501 - logcount_predictions_loss: 0.3005 121/378 [========>.....................] - ETA: 3:32 - loss: 38.9439 - logits_profile_predictions_loss: 38.6443 - logcount_predictions_loss: 0.2996 122/378 [========>.....................] - ETA: 3:31 - loss: 38.9280 - logits_profile_predictions_loss: 38.6286 - logcount_predictions_loss: 0.2994 123/378 [========>.....................] - ETA: 3:30 - loss: 38.9665 - logits_profile_predictions_loss: 38.6663 - logcount_predictions_loss: 0.3002 124/378 [========>.....................] - ETA: 3:29 - loss: 38.9659 - logits_profile_predictions_loss: 38.6659 - logcount_predictions_loss: 0.2999 125/378 [========>.....................] - ETA: 3:29 - loss: 39.0077 - logits_profile_predictions_loss: 38.7078 - logcount_predictions_loss: 0.2998 126/378 [=========>....................] - ETA: 3:28 - loss: 39.0373 - logits_profile_predictions_loss: 38.7380 - logcount_predictions_loss: 0.2993 127/378 [=========>....................] - ETA: 3:27 - loss: 39.0755 - logits_profile_predictions_loss: 38.7759 - logcount_predictions_loss: 0.2995 128/378 [=========>....................] - ETA: 3:27 - loss: 39.1252 - logits_profile_predictions_loss: 38.8265 - logcount_predictions_loss: 0.2987 129/378 [=========>....................] - ETA: 3:26 - loss: 39.1209 - logits_profile_predictions_loss: 38.8225 - logcount_predictions_loss: 0.2984 130/378 [=========>....................] - ETA: 3:25 - loss: 39.0987 - logits_profile_predictions_loss: 38.8006 - logcount_predictions_loss: 0.2980 131/378 [=========>....................] - ETA: 3:24 - loss: 39.0690 - logits_profile_predictions_loss: 38.7712 - logcount_predictions_loss: 0.2979 132/378 [=========>....................] - ETA: 3:23 - loss: 39.0325 - logits_profile_predictions_loss: 38.7339 - 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logcount_predictions_loss: 0.2926 293/378 [======================>.......] - ETA: 1:11 - loss: 38.9385 - logits_profile_predictions_loss: 38.6457 - logcount_predictions_loss: 0.2928 294/378 [======================>.......] - ETA: 1:10 - loss: 38.9429 - logits_profile_predictions_loss: 38.6502 - logcount_predictions_loss: 0.2927 295/378 [======================>.......] - ETA: 1:10 - loss: 38.9363 - logits_profile_predictions_loss: 38.6438 - logcount_predictions_loss: 0.2925 296/378 [======================>.......] - ETA: 1:09 - loss: 38.9260 - logits_profile_predictions_loss: 38.6336 - logcount_predictions_loss: 0.2924 297/378 [======================>.......] - ETA: 1:08 - loss: 38.9234 - logits_profile_predictions_loss: 38.6309 - logcount_predictions_loss: 0.2925 298/378 [======================>.......] - ETA: 1:07 - loss: 38.9208 - logits_profile_predictions_loss: 38.6284 - logcount_predictions_loss: 0.2924 299/378 [======================>.......] - ETA: 1:06 - loss: 38.9213 - logits_profile_predictions_loss: 38.6292 - logcount_predictions_loss: 0.2921 300/378 [======================>.......] - ETA: 1:05 - loss: 38.9051 - logits_profile_predictions_loss: 38.6131 - logcount_predictions_loss: 0.2920 301/378 [======================>.......] - ETA: 1:05 - loss: 38.8981 - logits_profile_predictions_loss: 38.6059 - logcount_predictions_loss: 0.2922 302/378 [======================>.......] - ETA: 1:04 - loss: 38.9078 - logits_profile_predictions_loss: 38.6155 - logcount_predictions_loss: 0.2923 303/378 [=======================>......] - ETA: 1:03 - loss: 38.8955 - logits_profile_predictions_loss: 38.6036 - logcount_predictions_loss: 0.2919 304/378 [=======================>......] - ETA: 1:02 - loss: 38.8926 - logits_profile_predictions_loss: 38.6007 - logcount_predictions_loss: 0.2919 305/378 [=======================>......] - ETA: 1:01 - loss: 38.8657 - logits_profile_predictions_loss: 38.5731 - logcount_predictions_loss: 0.2925 306/378 [=======================>......] - ETA: 1:00 - loss: 38.8597 - logits_profile_predictions_loss: 38.5672 - logcount_predictions_loss: 0.2925 307/378 [=======================>......] - ETA: 1:00 - loss: 38.8470 - logits_profile_predictions_loss: 38.5546 - logcount_predictions_loss: 0.2923 308/378 [=======================>......] - ETA: 59s - loss: 38.8343 - logits_profile_predictions_loss: 38.5421 - logcount_predictions_loss: 0.2922  309/378 [=======================>......] - ETA: 58s - loss: 38.8317 - logits_profile_predictions_loss: 38.5393 - logcount_predictions_loss: 0.2924 310/378 [=======================>......] - ETA: 57s - loss: 38.8286 - logits_profile_predictions_loss: 38.5360 - logcount_predictions_loss: 0.2926 311/378 [=======================>......] - ETA: 56s - loss: 38.8321 - logits_profile_predictions_loss: 38.5393 - logcount_predictions_loss: 0.2928 312/378 [=======================>......] - ETA: 55s - loss: 38.8425 - logits_profile_predictions_loss: 38.5496 - logcount_predictions_loss: 0.2928 313/378 [=======================>......] - ETA: 55s - loss: 38.8301 - logits_profile_predictions_loss: 38.5375 - logcount_predictions_loss: 0.2927 314/378 [=======================>......] - ETA: 54s - loss: 38.8368 - logits_profile_predictions_loss: 38.5443 - logcount_predictions_loss: 0.2924 315/378 [========================>.....] - ETA: 53s - loss: 38.8384 - logits_profile_predictions_loss: 38.5462 - logcount_predictions_loss: 0.2921 316/378 [========================>.....] - ETA: 52s - loss: 38.8437 - logits_profile_predictions_loss: 38.5516 - logcount_predictions_loss: 0.2921 317/378 [========================>.....] - ETA: 51s - loss: 38.8387 - logits_profile_predictions_loss: 38.5466 - logcount_predictions_loss: 0.2921 318/378 [========================>.....] - ETA: 50s - loss: 38.8359 - logits_profile_predictions_loss: 38.5437 - logcount_predictions_loss: 0.2921 319/378 [========================>.....] - ETA: 49s - loss: 38.8483 - logits_profile_predictions_loss: 38.5557 - logcount_predictions_loss: 0.2926 320/378 [========================>.....] - ETA: 49s - loss: 38.8392 - logits_profile_predictions_loss: 38.5466 - logcount_predictions_loss: 0.2927 321/378 [========================>.....] - ETA: 48s - loss: 38.8651 - logits_profile_predictions_loss: 38.5726 - logcount_predictions_loss: 0.2924 322/378 [========================>.....] - ETA: 47s - loss: 38.8651 - logits_profile_predictions_loss: 38.5728 - logcount_predictions_loss: 0.2924 323/378 [========================>.....] - ETA: 46s - loss: 38.8733 - logits_profile_predictions_loss: 38.5807 - logcount_predictions_loss: 0.2925 324/378 [========================>.....] - ETA: 45s - loss: 38.8648 - logits_profile_predictions_loss: 38.5719 - logcount_predictions_loss: 0.2928 325/378 [========================>.....] - ETA: 44s - loss: 38.8546 - logits_profile_predictions_loss: 38.5617 - logcount_predictions_loss: 0.2928 326/378 [========================>.....] - ETA: 44s - loss: 38.8446 - logits_profile_predictions_loss: 38.5516 - logcount_predictions_loss: 0.2930 327/378 [========================>.....] - ETA: 43s - loss: 38.8603 - logits_profile_predictions_loss: 38.5668 - logcount_predictions_loss: 0.2934 328/378 [=========================>....] - ETA: 42s - loss: 38.8501 - logits_profile_predictions_loss: 38.5565 - logcount_predictions_loss: 0.2936 329/378 [=========================>....] - ETA: 41s - loss: 38.8560 - logits_profile_predictions_loss: 38.5621 - logcount_predictions_loss: 0.2938 330/378 [=========================>....] - ETA: 40s - loss: 38.8366 - logits_profile_predictions_loss: 38.5428 - logcount_predictions_loss: 0.2938 331/378 [=========================>....] - ETA: 39s - loss: 38.8328 - logits_profile_predictions_loss: 38.5391 - logcount_predictions_loss: 0.2937 332/378 [=========================>....] - ETA: 38s - loss: 38.8356 - logits_profile_predictions_loss: 38.5415 - logcount_predictions_loss: 0.2941 333/378 [=========================>....] - ETA: 38s - loss: 38.8400 - logits_profile_predictions_loss: 38.5459 - logcount_predictions_loss: 0.2941 334/378 [=========================>....] - ETA: 37s - loss: 38.8588 - logits_profile_predictions_loss: 38.5648 - logcount_predictions_loss: 0.2941 335/378 [=========================>....] - ETA: 36s - loss: 38.8549 - logits_profile_predictions_loss: 38.5610 - logcount_predictions_loss: 0.2939 336/378 [=========================>....] - ETA: 35s - loss: 38.8422 - logits_profile_predictions_loss: 38.5483 - logcount_predictions_loss: 0.2940 337/378 [=========================>....] - ETA: 34s - loss: 38.8620 - logits_profile_predictions_loss: 38.5681 - logcount_predictions_loss: 0.2939 338/378 [=========================>....] - ETA: 33s - loss: 38.8804 - logits_profile_predictions_loss: 38.5863 - logcount_predictions_loss: 0.2942 339/378 [=========================>....] - ETA: 33s - loss: 38.8665 - logits_profile_predictions_loss: 38.5724 - logcount_predictions_loss: 0.2941 340/378 [=========================>....] - ETA: 32s - loss: 38.8686 - logits_profile_predictions_loss: 38.5742 - logcount_predictions_loss: 0.2944 341/378 [==========================>...] - ETA: 31s - loss: 38.8521 - logits_profile_predictions_loss: 38.5578 - logcount_predictions_loss: 0.2943 342/378 [==========================>...] - ETA: 30s - loss: 38.8598 - logits_profile_predictions_loss: 38.5656 - logcount_predictions_loss: 0.2942 343/378 [==========================>...] - ETA: 29s - loss: 38.8503 - logits_profile_predictions_loss: 38.5562 - logcount_predictions_loss: 0.2941 344/378 [==========================>...] - ETA: 28s - loss: 38.8394 - logits_profile_predictions_loss: 38.5455 - logcount_predictions_loss: 0.2939 345/378 [==========================>...] - ETA: 28s - loss: 38.8442 - logits_profile_predictions_loss: 38.5502 - logcount_predictions_loss: 0.2940 346/378 [==========================>...] - ETA: 27s - loss: 38.8482 - logits_profile_predictions_loss: 38.5543 - logcount_predictions_loss: 0.2939 347/378 [==========================>...] - ETA: 26s - loss: 38.8614 - logits_profile_predictions_loss: 38.5675 - logcount_predictions_loss: 0.2938 348/378 [==========================>...] - ETA: 25s - loss: 38.8566 - logits_profile_predictions_loss: 38.5627 - logcount_predictions_loss: 0.2939 349/378 [==========================>...] - ETA: 24s - loss: 38.8577 - logits_profile_predictions_loss: 38.5637 - logcount_predictions_loss: 0.2940 350/378 [==========================>...] - ETA: 23s - loss: 38.8437 - logits_profile_predictions_loss: 38.5497 - logcount_predictions_loss: 0.2940 351/378 [==========================>...] - ETA: 22s - loss: 38.8439 - logits_profile_predictions_loss: 38.5498 - logcount_predictions_loss: 0.2940 352/378 [==========================>...] - ETA: 22s - loss: 38.8473 - logits_profile_predictions_loss: 38.5534 - logcount_predictions_loss: 0.2939 353/378 [===========================>..] - ETA: 21s - loss: 38.8381 - logits_profile_predictions_loss: 38.5442 - logcount_predictions_loss: 0.2939 354/378 [===========================>..] - ETA: 20s - loss: 38.8474 - logits_profile_predictions_loss: 38.5534 - logcount_predictions_loss: 0.2940 355/378 [===========================>..] - ETA: 19s - loss: 38.8459 - logits_profile_predictions_loss: 38.5515 - logcount_predictions_loss: 0.2944 356/378 [===========================>..] - ETA: 18s - loss: 38.8767 - logits_profile_predictions_loss: 38.5825 - logcount_predictions_loss: 0.2942 357/378 [===========================>..] - ETA: 17s - loss: 38.8544 - logits_profile_predictions_loss: 38.5604 - logcount_predictions_loss: 0.2940 358/378 [===========================>..] - ETA: 16s - loss: 38.8513 - logits_profile_predictions_loss: 38.5573 - logcount_predictions_loss: 0.2940 359/378 [===========================>..] - ETA: 16s - loss: 38.8464 - logits_profile_predictions_loss: 38.5524 - logcount_predictions_loss: 0.2940 360/378 [===========================>..] - ETA: 15s - loss: 38.8496 - logits_profile_predictions_loss: 38.5556 - logcount_predictions_loss: 0.2940 361/378 [===========================>..] - ETA: 14s - loss: 38.8578 - logits_profile_predictions_loss: 38.5638 - logcount_predictions_loss: 0.2939 362/378 [===========================>..] - ETA: 13s - loss: 38.8506 - logits_profile_predictions_loss: 38.5568 - logcount_predictions_loss: 0.2938 363/378 [===========================>..] - ETA: 12s - loss: 38.8472 - logits_profile_predictions_loss: 38.5534 - logcount_predictions_loss: 0.2937 364/378 [===========================>..] - ETA: 11s - loss: 38.8407 - logits_profile_predictions_loss: 38.5470 - logcount_predictions_loss: 0.2937 365/378 [===========================>..] - ETA: 11s - loss: 38.8491 - logits_profile_predictions_loss: 38.5556 - logcount_predictions_loss: 0.2935 366/378 [============================>.] - ETA: 10s - loss: 38.8506 - logits_profile_predictions_loss: 38.5569 - logcount_predictions_loss: 0.2937 367/378 [============================>.] - ETA: 9s - loss: 38.8563 - logits_profile_predictions_loss: 38.5627 - logcount_predictions_loss: 0.2937  368/378 [============================>.] - ETA: 8s - loss: 38.8580 - logits_profile_predictions_loss: 38.5644 - logcount_predictions_loss: 0.2937 369/378 [============================>.] - ETA: 7s - loss: 38.8676 - logits_profile_predictions_loss: 38.5739 - logcount_predictions_loss: 0.2937 370/378 [============================>.] - ETA: 6s - loss: 38.8611 - logits_profile_predictions_loss: 38.5677 - logcount_predictions_loss: 0.2934 371/378 [============================>.] - ETA: 5s - loss: 38.8441 - logits_profile_predictions_loss: 38.5506 - logcount_predictions_loss: 0.2935 372/378 [============================>.] - ETA: 5s - loss: 38.8545 - logits_profile_predictions_loss: 38.5610 - logcount_predictions_loss: 0.2935 373/378 [============================>.] - ETA: 4s - loss: 38.8528 - logits_profile_predictions_loss: 38.5592 - logcount_predictions_loss: 0.2936 374/378 [============================>.] - ETA: 3s - loss: 38.8470 - logits_profile_predictions_loss: 38.5535 - logcount_predictions_loss: 0.2935 375/378 [============================>.] - ETA: 2s - loss: 38.8463 - logits_profile_predictions_loss: 38.5529 - logcount_predictions_loss: 0.2934 376/378 [============================>.] - ETA: 1s - loss: 38.8437 - logits_profile_predictions_loss: 38.5499 - logcount_predictions_loss: 0.2937 377/378 [============================>.] - ETA: 0s - loss: 38.8508 - logits_profile_predictions_loss: 38.5571 - logcount_predictions_loss: 0.2937 378/378 [==============================] - ETA: 0s - loss: 38.8443 - logits_profile_predictions_loss: 38.5506 - logcount_predictions_loss: 0.2937 Epoch 10: val_loss did not improve from 41.50948  378/378 [==============================] - 342s 905ms/step - loss: 38.8443 - logits_profile_predictions_loss: 38.5506 - logcount_predictions_loss: 0.2937 - val_loss: 42.0265 - val_logits_profile_predictions_loss: 41.7631 - val_logcount_predictions_loss: 0.2634 Epoch 11/50 1/378 [..............................] - ETA: 4:35 - loss: 40.5895 - logits_profile_predictions_loss: 40.2580 - logcount_predictions_loss: 0.3314 2/378 [..............................] - ETA: 4:30 - loss: 40.9148 - logits_profile_predictions_loss: 40.5338 - logcount_predictions_loss: 0.3810 3/378 [..............................] - ETA: 4:31 - loss: 38.3900 - logits_profile_predictions_loss: 38.0344 - logcount_predictions_loss: 0.3556 4/378 [..............................] - ETA: 4:30 - loss: 37.5075 - logits_profile_predictions_loss: 37.1980 - logcount_predictions_loss: 0.3095 5/378 [..............................] - ETA: 4:30 - loss: 37.8310 - logits_profile_predictions_loss: 37.5169 - logcount_predictions_loss: 0.3142 6/378 [..............................] - ETA: 4:29 - loss: 37.0056 - logits_profile_predictions_loss: 36.7017 - logcount_predictions_loss: 0.3040 7/378 [..............................] - ETA: 4:29 - loss: 36.8116 - logits_profile_predictions_loss: 36.5125 - logcount_predictions_loss: 0.2991 8/378 [..............................] - ETA: 4:29 - loss: 36.5613 - logits_profile_predictions_loss: 36.2646 - logcount_predictions_loss: 0.2967 9/378 [..............................] - ETA: 4:28 - loss: 36.8224 - logits_profile_predictions_loss: 36.5232 - logcount_predictions_loss: 0.2993 10/378 [..............................] - ETA: 4:28 - loss: 36.3253 - logits_profile_predictions_loss: 36.0169 - logcount_predictions_loss: 0.3084 11/378 [..............................] - ETA: 4:29 - loss: 36.5356 - logits_profile_predictions_loss: 36.2312 - logcount_predictions_loss: 0.3044 12/378 [..............................] - ETA: 4:30 - loss: 36.4995 - logits_profile_predictions_loss: 36.2015 - logcount_predictions_loss: 0.2980 13/378 [>.............................] - ETA: 4:30 - loss: 36.2080 - logits_profile_predictions_loss: 35.9172 - logcount_predictions_loss: 0.2908 14/378 [>.............................] - ETA: 4:31 - loss: 36.2993 - logits_profile_predictions_loss: 36.0027 - logcount_predictions_loss: 0.2966 15/378 [>.............................] - ETA: 4:30 - loss: 36.0601 - logits_profile_predictions_loss: 35.7626 - logcount_predictions_loss: 0.2975 16/378 [>.............................] - ETA: 4:29 - loss: 36.5486 - logits_profile_predictions_loss: 36.2491 - logcount_predictions_loss: 0.2995 17/378 [>.............................] - ETA: 4:28 - loss: 36.5145 - logits_profile_predictions_loss: 36.2170 - logcount_predictions_loss: 0.2976 18/378 [>.............................] - ETA: 4:27 - loss: 36.4845 - logits_profile_predictions_loss: 36.1861 - logcount_predictions_loss: 0.2984 19/378 [>.............................] - ETA: 4:27 - loss: 36.4796 - logits_profile_predictions_loss: 36.1818 - logcount_predictions_loss: 0.2979 20/378 [>.............................] - ETA: 4:26 - loss: 36.4395 - logits_profile_predictions_loss: 36.1471 - logcount_predictions_loss: 0.2924 21/378 [>.............................] - ETA: 4:27 - loss: 36.5363 - logits_profile_predictions_loss: 36.2442 - logcount_predictions_loss: 0.2921 22/378 [>.............................] - ETA: 4:27 - loss: 36.7204 - logits_profile_predictions_loss: 36.4310 - logcount_predictions_loss: 0.2894 23/378 [>.............................] - ETA: 4:26 - loss: 36.5972 - logits_profile_predictions_loss: 36.3108 - logcount_predictions_loss: 0.2864 24/378 [>.............................] - ETA: 4:26 - loss: 36.5955 - logits_profile_predictions_loss: 36.3092 - logcount_predictions_loss: 0.2863 25/378 [>.............................] - ETA: 4:27 - loss: 36.4350 - logits_profile_predictions_loss: 36.1506 - logcount_predictions_loss: 0.2844 26/378 [=>............................] - ETA: 4:27 - loss: 36.4935 - logits_profile_predictions_loss: 36.2084 - logcount_predictions_loss: 0.2852 27/378 [=>............................] - ETA: 4:27 - loss: 36.4778 - logits_profile_predictions_loss: 36.1936 - logcount_predictions_loss: 0.2842 28/378 [=>............................] - ETA: 4:27 - loss: 36.6145 - logits_profile_predictions_loss: 36.3274 - logcount_predictions_loss: 0.2871 29/378 [=>............................] - ETA: 4:26 - loss: 36.6038 - logits_profile_predictions_loss: 36.3190 - logcount_predictions_loss: 0.2848 30/378 [=>............................] - ETA: 4:25 - loss: 36.6706 - logits_profile_predictions_loss: 36.3881 - logcount_predictions_loss: 0.2826 31/378 [=>............................] - ETA: 4:25 - loss: 36.5790 - logits_profile_predictions_loss: 36.2979 - logcount_predictions_loss: 0.2811 32/378 [=>............................] - ETA: 4:25 - loss: 36.5221 - logits_profile_predictions_loss: 36.2420 - logcount_predictions_loss: 0.2801 33/378 [=>............................] - ETA: 4:25 - loss: 36.5306 - logits_profile_predictions_loss: 36.2487 - logcount_predictions_loss: 0.2819 34/378 [=>............................] - ETA: 4:24 - loss: 36.4866 - logits_profile_predictions_loss: 36.2051 - logcount_predictions_loss: 0.2815 35/378 [=>............................] - ETA: 4:24 - loss: 36.5946 - logits_profile_predictions_loss: 36.3151 - logcount_predictions_loss: 0.2795 36/378 [=>............................] - ETA: 4:24 - loss: 36.6230 - logits_profile_predictions_loss: 36.3435 - logcount_predictions_loss: 0.2795 37/378 [=>............................] - ETA: 4:24 - loss: 36.8352 - logits_profile_predictions_loss: 36.5544 - logcount_predictions_loss: 0.2809 38/378 [==>...........................] - ETA: 4:24 - loss: 36.8602 - logits_profile_predictions_loss: 36.5799 - logcount_predictions_loss: 0.2803 39/378 [==>...........................] - ETA: 4:24 - loss: 36.8389 - logits_profile_predictions_loss: 36.5565 - logcount_predictions_loss: 0.2824 40/378 [==>...........................] - ETA: 4:24 - loss: 36.8719 - logits_profile_predictions_loss: 36.5858 - logcount_predictions_loss: 0.2861 41/378 [==>...........................] - ETA: 4:23 - loss: 36.9525 - logits_profile_predictions_loss: 36.6630 - logcount_predictions_loss: 0.2895 42/378 [==>...........................] - ETA: 4:22 - loss: 37.0041 - logits_profile_predictions_loss: 36.7147 - logcount_predictions_loss: 0.2895 43/378 [==>...........................] - ETA: 4:22 - loss: 37.1017 - logits_profile_predictions_loss: 36.8120 - logcount_predictions_loss: 0.2897 44/378 [==>...........................] - ETA: 4:21 - loss: 37.1111 - logits_profile_predictions_loss: 36.8220 - logcount_predictions_loss: 0.2892 45/378 [==>...........................] - ETA: 4:20 - loss: 37.1123 - logits_profile_predictions_loss: 36.8214 - logcount_predictions_loss: 0.2909 46/378 [==>...........................] - ETA: 4:20 - loss: 37.1907 - logits_profile_predictions_loss: 36.9001 - logcount_predictions_loss: 0.2906 47/378 [==>...........................] - ETA: 4:20 - loss: 37.2221 - logits_profile_predictions_loss: 36.9321 - logcount_predictions_loss: 0.2900 48/378 [==>...........................] - ETA: 4:20 - loss: 37.3431 - logits_profile_predictions_loss: 37.0526 - logcount_predictions_loss: 0.2905 49/378 [==>...........................] - ETA: 4:19 - loss: 37.4280 - logits_profile_predictions_loss: 37.1355 - logcount_predictions_loss: 0.2925 50/378 [==>...........................] - ETA: 4:18 - loss: 37.5132 - logits_profile_predictions_loss: 37.2224 - logcount_predictions_loss: 0.2908 51/378 [===>..........................] - ETA: 4:18 - loss: 37.5639 - logits_profile_predictions_loss: 37.2731 - logcount_predictions_loss: 0.2908 52/378 [===>..........................] - ETA: 4:18 - loss: 37.5092 - logits_profile_predictions_loss: 37.2179 - logcount_predictions_loss: 0.2913 53/378 [===>..........................] - ETA: 4:17 - loss: 37.6371 - logits_profile_predictions_loss: 37.3433 - logcount_predictions_loss: 0.2937 54/378 [===>..........................] - ETA: 4:16 - loss: 37.7292 - logits_profile_predictions_loss: 37.4357 - logcount_predictions_loss: 0.2935 55/378 [===>..........................] - ETA: 4:15 - loss: 37.8330 - logits_profile_predictions_loss: 37.5404 - logcount_predictions_loss: 0.2926 56/378 [===>..........................] - ETA: 4:15 - loss: 37.7199 - logits_profile_predictions_loss: 37.4245 - logcount_predictions_loss: 0.2953 57/378 [===>..........................] - ETA: 4:14 - loss: 37.7657 - logits_profile_predictions_loss: 37.4704 - logcount_predictions_loss: 0.2954 58/378 [===>..........................] - ETA: 4:14 - loss: 37.8338 - logits_profile_predictions_loss: 37.5388 - logcount_predictions_loss: 0.2951 59/378 [===>..........................] - ETA: 4:13 - loss: 37.8975 - logits_profile_predictions_loss: 37.6033 - logcount_predictions_loss: 0.2943 60/378 [===>..........................] - ETA: 4:12 - loss: 37.8905 - logits_profile_predictions_loss: 37.5962 - 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[=====>........................] - ETA: 3:59 - loss: 38.1532 - logits_profile_predictions_loss: 37.8595 - logcount_predictions_loss: 0.2937 82/378 [=====>........................] - ETA: 3:58 - loss: 38.1918 - logits_profile_predictions_loss: 37.8972 - logcount_predictions_loss: 0.2946 83/378 [=====>........................] - ETA: 3:58 - loss: 38.2388 - logits_profile_predictions_loss: 37.9440 - logcount_predictions_loss: 0.2948 84/378 [=====>........................] - ETA: 3:58 - loss: 38.1987 - logits_profile_predictions_loss: 37.9039 - logcount_predictions_loss: 0.2947 85/378 [=====>........................] - ETA: 3:57 - loss: 38.1654 - logits_profile_predictions_loss: 37.8718 - logcount_predictions_loss: 0.2937 86/378 [=====>........................] - ETA: 3:56 - loss: 38.1315 - logits_profile_predictions_loss: 37.8380 - logcount_predictions_loss: 0.2935 87/378 [=====>........................] - ETA: 3:55 - loss: 38.1152 - logits_profile_predictions_loss: 37.8221 - 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108/378 [=======>......................] - ETA: 3:40 - loss: 38.1006 - logits_profile_predictions_loss: 37.8070 - logcount_predictions_loss: 0.2936 109/378 [=======>......................] - ETA: 3:39 - loss: 38.0837 - logits_profile_predictions_loss: 37.7898 - logcount_predictions_loss: 0.2939 110/378 [=======>......................] - ETA: 3:38 - loss: 38.0838 - logits_profile_predictions_loss: 37.7902 - logcount_predictions_loss: 0.2937 111/378 [=======>......................] - ETA: 3:38 - loss: 38.0592 - logits_profile_predictions_loss: 37.7661 - logcount_predictions_loss: 0.2932 112/378 [=======>......................] - ETA: 3:37 - loss: 38.0642 - logits_profile_predictions_loss: 37.7713 - logcount_predictions_loss: 0.2929 113/378 [=======>......................] - ETA: 3:36 - loss: 38.0909 - logits_profile_predictions_loss: 37.7988 - logcount_predictions_loss: 0.2922 114/378 [========>.....................] - ETA: 3:35 - loss: 38.0819 - logits_profile_predictions_loss: 37.7899 - logcount_predictions_loss: 0.2920 115/378 [========>.....................] - ETA: 3:35 - loss: 38.0933 - logits_profile_predictions_loss: 37.8018 - logcount_predictions_loss: 0.2915 116/378 [========>.....................] - ETA: 3:34 - loss: 38.0641 - logits_profile_predictions_loss: 37.7723 - logcount_predictions_loss: 0.2918 117/378 [========>.....................] - ETA: 3:33 - loss: 38.0207 - logits_profile_predictions_loss: 37.7297 - logcount_predictions_loss: 0.2910 118/378 [========>.....................] - ETA: 3:32 - loss: 38.0114 - logits_profile_predictions_loss: 37.7203 - logcount_predictions_loss: 0.2911 119/378 [========>.....................] - ETA: 3:31 - loss: 38.0324 - logits_profile_predictions_loss: 37.7407 - logcount_predictions_loss: 0.2917 120/378 [========>.....................] - ETA: 3:31 - loss: 38.0753 - logits_profile_predictions_loss: 37.7832 - logcount_predictions_loss: 0.2922 121/378 [========>.....................] - ETA: 3:30 - loss: 38.0937 - 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[=========>....................] - ETA: 3:24 - loss: 38.1463 - logits_profile_predictions_loss: 37.8521 - logcount_predictions_loss: 0.2942 129/378 [=========>....................] - ETA: 3:24 - loss: 38.1762 - logits_profile_predictions_loss: 37.8819 - logcount_predictions_loss: 0.2943 130/378 [=========>....................] - ETA: 3:23 - loss: 38.1790 - logits_profile_predictions_loss: 37.8840 - logcount_predictions_loss: 0.2950 131/378 [=========>....................] - ETA: 3:22 - loss: 38.2208 - logits_profile_predictions_loss: 37.9247 - logcount_predictions_loss: 0.2961 132/378 [=========>....................] - ETA: 3:21 - loss: 38.2739 - logits_profile_predictions_loss: 37.9765 - logcount_predictions_loss: 0.2974 133/378 [=========>....................] - ETA: 3:21 - loss: 38.2689 - logits_profile_predictions_loss: 37.9713 - logcount_predictions_loss: 0.2976 134/378 [=========>....................] - ETA: 3:20 - loss: 38.2711 - logits_profile_predictions_loss: 37.9732 - 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[==========>...................] - ETA: 3:09 - loss: 38.1232 - logits_profile_predictions_loss: 37.8262 - logcount_predictions_loss: 0.2971 149/378 [==========>...................] - ETA: 3:08 - loss: 38.0849 - logits_profile_predictions_loss: 37.7884 - logcount_predictions_loss: 0.2965 150/378 [==========>...................] - ETA: 3:08 - loss: 38.1156 - logits_profile_predictions_loss: 37.8187 - logcount_predictions_loss: 0.2969 151/378 [==========>...................] - ETA: 3:07 - loss: 38.1229 - logits_profile_predictions_loss: 37.8256 - logcount_predictions_loss: 0.2973 152/378 [===========>..................] - ETA: 3:06 - loss: 38.1148 - logits_profile_predictions_loss: 37.8172 - logcount_predictions_loss: 0.2976 153/378 [===========>..................] - ETA: 3:05 - loss: 38.1228 - logits_profile_predictions_loss: 37.8258 - logcount_predictions_loss: 0.2971 154/378 [===========>..................] - ETA: 3:04 - loss: 38.1136 - logits_profile_predictions_loss: 37.8169 - 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logits_profile_predictions_loss: 38.0498 - logcount_predictions_loss: 0.2865 349/378 [==========================>...] - ETA: 24s - loss: 38.3450 - logits_profile_predictions_loss: 38.0586 - logcount_predictions_loss: 0.2864 350/378 [==========================>...] - ETA: 23s - loss: 38.3397 - logits_profile_predictions_loss: 38.0531 - logcount_predictions_loss: 0.2866 351/378 [==========================>...] - ETA: 22s - loss: 38.3357 - logits_profile_predictions_loss: 38.0491 - logcount_predictions_loss: 0.2866 352/378 [==========================>...] - ETA: 22s - loss: 38.3469 - logits_profile_predictions_loss: 38.0600 - logcount_predictions_loss: 0.2869 353/378 [===========================>..] - ETA: 21s - loss: 38.3450 - logits_profile_predictions_loss: 38.0583 - logcount_predictions_loss: 0.2867 354/378 [===========================>..] - ETA: 20s - loss: 38.3503 - logits_profile_predictions_loss: 38.0634 - logcount_predictions_loss: 0.2869 355/378 [===========================>..] - ETA: 19s - loss: 38.3464 - logits_profile_predictions_loss: 38.0595 - logcount_predictions_loss: 0.2870 356/378 [===========================>..] - ETA: 18s - loss: 38.3377 - logits_profile_predictions_loss: 38.0507 - logcount_predictions_loss: 0.2869 357/378 [===========================>..] - ETA: 17s - loss: 38.3310 - logits_profile_predictions_loss: 38.0442 - logcount_predictions_loss: 0.2868 358/378 [===========================>..] - ETA: 16s - loss: 38.3437 - logits_profile_predictions_loss: 38.0570 - logcount_predictions_loss: 0.2867 359/378 [===========================>..] - ETA: 16s - loss: 38.3375 - logits_profile_predictions_loss: 38.0510 - logcount_predictions_loss: 0.2865 360/378 [===========================>..] - ETA: 15s - loss: 38.3311 - logits_profile_predictions_loss: 38.0444 - logcount_predictions_loss: 0.2867 361/378 [===========================>..] - ETA: 14s - loss: 38.3334 - logits_profile_predictions_loss: 38.0465 - logcount_predictions_loss: 0.2868 362/378 [===========================>..] - ETA: 13s - loss: 38.3551 - logits_profile_predictions_loss: 38.0683 - logcount_predictions_loss: 0.2868 363/378 [===========================>..] - ETA: 12s - loss: 38.3581 - logits_profile_predictions_loss: 38.0712 - logcount_predictions_loss: 0.2869 364/378 [===========================>..] - ETA: 11s - loss: 38.3636 - logits_profile_predictions_loss: 38.0765 - logcount_predictions_loss: 0.2871 365/378 [===========================>..] - ETA: 11s - loss: 38.3751 - logits_profile_predictions_loss: 38.0878 - logcount_predictions_loss: 0.2873 366/378 [============================>.] - ETA: 10s - loss: 38.3642 - logits_profile_predictions_loss: 38.0772 - logcount_predictions_loss: 0.2870 367/378 [============================>.] - ETA: 9s - loss: 38.3711 - logits_profile_predictions_loss: 38.0843 - logcount_predictions_loss: 0.2869  368/378 [============================>.] - ETA: 8s - loss: 38.3645 - logits_profile_predictions_loss: 38.0775 - logcount_predictions_loss: 0.2870 369/378 [============================>.] - ETA: 7s - loss: 38.3699 - logits_profile_predictions_loss: 38.0829 - logcount_predictions_loss: 0.2869 370/378 [============================>.] - ETA: 6s - loss: 38.3784 - logits_profile_predictions_loss: 38.0915 - logcount_predictions_loss: 0.2869 371/378 [============================>.] - ETA: 5s - loss: 38.3736 - logits_profile_predictions_loss: 38.0867 - logcount_predictions_loss: 0.2870 372/378 [============================>.] - ETA: 5s - loss: 38.3814 - logits_profile_predictions_loss: 38.0949 - logcount_predictions_loss: 0.2866 373/378 [============================>.] - ETA: 4s - loss: 38.3781 - logits_profile_predictions_loss: 38.0916 - logcount_predictions_loss: 0.2865 374/378 [============================>.] - ETA: 3s - loss: 38.3776 - logits_profile_predictions_loss: 38.0909 - logcount_predictions_loss: 0.2867 375/378 [============================>.] - ETA: 2s - loss: 38.3742 - logits_profile_predictions_loss: 38.0874 - logcount_predictions_loss: 0.2867 376/378 [============================>.] - ETA: 1s - loss: 38.3750 - logits_profile_predictions_loss: 38.0884 - logcount_predictions_loss: 0.2866 377/378 [============================>.] - ETA: 0s - loss: 38.3704 - logits_profile_predictions_loss: 38.0838 - logcount_predictions_loss: 0.2867 378/378 [==============================] - ETA: 0s - loss: 38.3810 - logits_profile_predictions_loss: 38.0942 - logcount_predictions_loss: 0.2867 Epoch 11: val_loss did not improve from 41.50948  378/378 [==============================] - 341s 904ms/step - loss: 38.3810 - logits_profile_predictions_loss: 38.0942 - logcount_predictions_loss: 0.2867 - val_loss: 42.2348 - val_logits_profile_predictions_loss: 41.9713 - val_logcount_predictions_loss: 0.2635 Epoch 12/50 1/378 [..............................] - ETA: 4:36 - loss: 37.6176 - logits_profile_predictions_loss: 37.3850 - logcount_predictions_loss: 0.2327 2/378 [..............................] - ETA: 4:30 - loss: 38.8372 - logits_profile_predictions_loss: 38.5630 - logcount_predictions_loss: 0.2742 3/378 [..............................] - ETA: 4:31 - loss: 36.9541 - logits_profile_predictions_loss: 36.6804 - logcount_predictions_loss: 0.2738 4/378 [..............................] - ETA: 4:31 - loss: 37.3131 - logits_profile_predictions_loss: 37.0377 - logcount_predictions_loss: 0.2754 5/378 [..............................] - ETA: 4:31 - loss: 37.8990 - logits_profile_predictions_loss: 37.6184 - logcount_predictions_loss: 0.2806 6/378 [..............................] - ETA: 4:30 - loss: 37.0258 - logits_profile_predictions_loss: 36.7476 - logcount_predictions_loss: 0.2782 7/378 [..............................] - ETA: 4:30 - loss: 37.0795 - logits_profile_predictions_loss: 36.8064 - logcount_predictions_loss: 0.2731 8/378 [..............................] - ETA: 4:29 - loss: 36.9793 - logits_profile_predictions_loss: 36.7151 - logcount_predictions_loss: 0.2642 9/378 [..............................] - ETA: 4:29 - loss: 36.6067 - logits_profile_predictions_loss: 36.3461 - logcount_predictions_loss: 0.2606 10/378 [..............................] - ETA: 4:29 - loss: 36.9769 - logits_profile_predictions_loss: 36.7163 - logcount_predictions_loss: 0.2606 11/378 [..............................] - ETA: 4:30 - loss: 36.4904 - logits_profile_predictions_loss: 36.2297 - logcount_predictions_loss: 0.2607 12/378 [..............................] - ETA: 4:30 - loss: 36.3754 - logits_profile_predictions_loss: 36.1129 - logcount_predictions_loss: 0.2625 13/378 [>.............................] - ETA: 4:29 - loss: 36.8651 - logits_profile_predictions_loss: 36.6063 - logcount_predictions_loss: 0.2589 14/378 [>.............................] - ETA: 4:29 - loss: 36.8993 - logits_profile_predictions_loss: 36.6384 - logcount_predictions_loss: 0.2609 15/378 [>.............................] - ETA: 4:28 - loss: 36.9996 - logits_profile_predictions_loss: 36.7378 - logcount_predictions_loss: 0.2618 16/378 [>.............................] - ETA: 4:27 - loss: 36.6875 - logits_profile_predictions_loss: 36.4286 - logcount_predictions_loss: 0.2589 17/378 [>.............................] - ETA: 4:28 - loss: 36.5458 - logits_profile_predictions_loss: 36.2916 - logcount_predictions_loss: 0.2541 18/378 [>.............................] - ETA: 4:27 - loss: 36.6173 - logits_profile_predictions_loss: 36.3613 - logcount_predictions_loss: 0.2560 19/378 [>.............................] - ETA: 4:27 - loss: 36.6213 - logits_profile_predictions_loss: 36.3685 - logcount_predictions_loss: 0.2528 20/378 [>.............................] - ETA: 4:26 - loss: 36.5076 - logits_profile_predictions_loss: 36.2470 - logcount_predictions_loss: 0.2606 21/378 [>.............................] - ETA: 4:26 - loss: 36.4316 - logits_profile_predictions_loss: 36.1650 - logcount_predictions_loss: 0.2666 22/378 [>.............................] - ETA: 4:26 - loss: 36.4460 - logits_profile_predictions_loss: 36.1797 - logcount_predictions_loss: 0.2663 23/378 [>.............................] - ETA: 4:26 - loss: 36.5514 - logits_profile_predictions_loss: 36.2866 - logcount_predictions_loss: 0.2648 24/378 [>.............................] - ETA: 4:27 - loss: 36.6695 - logits_profile_predictions_loss: 36.4054 - logcount_predictions_loss: 0.2642 25/378 [>.............................] - ETA: 4:27 - loss: 36.6601 - logits_profile_predictions_loss: 36.4000 - logcount_predictions_loss: 0.2601 26/378 [=>............................] - ETA: 4:27 - loss: 36.9331 - logits_profile_predictions_loss: 36.6719 - logcount_predictions_loss: 0.2612 27/378 [=>............................] - ETA: 4:28 - loss: 36.9158 - logits_profile_predictions_loss: 36.6553 - logcount_predictions_loss: 0.2605 28/378 [=>............................] - ETA: 4:28 - loss: 37.2316 - logits_profile_predictions_loss: 36.9714 - logcount_predictions_loss: 0.2603 29/378 [=>............................] - ETA: 4:28 - loss: 37.3988 - logits_profile_predictions_loss: 37.1359 - logcount_predictions_loss: 0.2629 30/378 [=>............................] - ETA: 4:28 - loss: 37.4834 - logits_profile_predictions_loss: 37.2201 - logcount_predictions_loss: 0.2634 31/378 [=>............................] - ETA: 4:28 - loss: 37.3816 - logits_profile_predictions_loss: 37.1203 - logcount_predictions_loss: 0.2613 32/378 [=>............................] - ETA: 4:28 - loss: 37.2442 - logits_profile_predictions_loss: 36.9819 - logcount_predictions_loss: 0.2622 33/378 [=>............................] - ETA: 4:27 - loss: 37.1064 - logits_profile_predictions_loss: 36.8430 - logcount_predictions_loss: 0.2634 34/378 [=>............................] - ETA: 4:26 - loss: 37.0477 - logits_profile_predictions_loss: 36.7857 - logcount_predictions_loss: 0.2620 35/378 [=>............................] - ETA: 4:26 - loss: 36.9644 - logits_profile_predictions_loss: 36.7035 - logcount_predictions_loss: 0.2609 36/378 [=>............................] - ETA: 4:26 - loss: 37.1930 - logits_profile_predictions_loss: 36.9342 - logcount_predictions_loss: 0.2588 37/378 [=>............................] - ETA: 4:26 - loss: 37.2436 - logits_profile_predictions_loss: 36.9854 - logcount_predictions_loss: 0.2581 38/378 [==>...........................] - ETA: 4:26 - loss: 37.2972 - logits_profile_predictions_loss: 37.0381 - logcount_predictions_loss: 0.2591 39/378 [==>...........................] - ETA: 4:25 - loss: 37.3660 - logits_profile_predictions_loss: 37.1063 - logcount_predictions_loss: 0.2597 40/378 [==>...........................] - ETA: 4:24 - loss: 37.3215 - logits_profile_predictions_loss: 37.0603 - logcount_predictions_loss: 0.2613 41/378 [==>...........................] - ETA: 4:23 - loss: 37.4142 - logits_profile_predictions_loss: 37.1536 - logcount_predictions_loss: 0.2606 42/378 [==>...........................] - ETA: 4:23 - loss: 37.3962 - logits_profile_predictions_loss: 37.1366 - logcount_predictions_loss: 0.2597 43/378 [==>...........................] - ETA: 4:22 - loss: 37.3412 - logits_profile_predictions_loss: 37.0773 - logcount_predictions_loss: 0.2639 44/378 [==>...........................] - ETA: 4:22 - loss: 37.3456 - logits_profile_predictions_loss: 37.0816 - logcount_predictions_loss: 0.2640 45/378 [==>...........................] - ETA: 4:22 - loss: 37.5007 - logits_profile_predictions_loss: 37.2363 - logcount_predictions_loss: 0.2644 46/378 [==>...........................] - ETA: 4:21 - loss: 37.4953 - logits_profile_predictions_loss: 37.2308 - logcount_predictions_loss: 0.2645 47/378 [==>...........................] - ETA: 4:21 - loss: 37.5542 - logits_profile_predictions_loss: 37.2878 - logcount_predictions_loss: 0.2664 48/378 [==>...........................] - ETA: 4:20 - loss: 37.4662 - logits_profile_predictions_loss: 37.2007 - logcount_predictions_loss: 0.2656 49/378 [==>...........................] - ETA: 4:20 - loss: 37.4991 - logits_profile_predictions_loss: 37.2348 - logcount_predictions_loss: 0.2642 50/378 [==>...........................] - ETA: 4:20 - loss: 37.4784 - logits_profile_predictions_loss: 37.2142 - logcount_predictions_loss: 0.2642 51/378 [===>..........................] - ETA: 4:19 - loss: 37.3781 - logits_profile_predictions_loss: 37.1141 - logcount_predictions_loss: 0.2640 52/378 [===>..........................] - ETA: 4:18 - loss: 37.4458 - logits_profile_predictions_loss: 37.1824 - logcount_predictions_loss: 0.2634 53/378 [===>..........................] - ETA: 4:18 - loss: 37.2754 - logits_profile_predictions_loss: 37.0125 - logcount_predictions_loss: 0.2629 54/378 [===>..........................] - ETA: 4:17 - loss: 37.3899 - logits_profile_predictions_loss: 37.1250 - logcount_predictions_loss: 0.2649 55/378 [===>..........................] - ETA: 4:17 - loss: 37.3592 - logits_profile_predictions_loss: 37.0940 - logcount_predictions_loss: 0.2652 56/378 [===>..........................] - ETA: 4:16 - loss: 37.4063 - logits_profile_predictions_loss: 37.1404 - logcount_predictions_loss: 0.2659 57/378 [===>..........................] - ETA: 4:16 - loss: 37.4742 - logits_profile_predictions_loss: 37.2083 - logcount_predictions_loss: 0.2659 58/378 [===>..........................] - ETA: 4:15 - loss: 37.4562 - logits_profile_predictions_loss: 37.1915 - logcount_predictions_loss: 0.2647 59/378 [===>..........................] - ETA: 4:15 - loss: 37.4891 - logits_profile_predictions_loss: 37.2244 - logcount_predictions_loss: 0.2647 60/378 [===>..........................] - ETA: 4:14 - loss: 37.4117 - logits_profile_predictions_loss: 37.1450 - logcount_predictions_loss: 0.2666 61/378 [===>..........................] - ETA: 4:13 - loss: 37.4242 - logits_profile_predictions_loss: 37.1583 - logcount_predictions_loss: 0.2659 62/378 [===>..........................] - ETA: 4:12 - loss: 37.4056 - logits_profile_predictions_loss: 37.1395 - logcount_predictions_loss: 0.2661 63/378 [====>.........................] - ETA: 4:12 - loss: 37.4058 - logits_profile_predictions_loss: 37.1406 - logcount_predictions_loss: 0.2653 64/378 [====>.........................] - ETA: 4:11 - loss: 37.3954 - logits_profile_predictions_loss: 37.1300 - logcount_predictions_loss: 0.2654 65/378 [====>.........................] - ETA: 4:11 - loss: 37.3830 - logits_profile_predictions_loss: 37.1172 - logcount_predictions_loss: 0.2658 66/378 [====>.........................] - ETA: 4:10 - loss: 37.3212 - logits_profile_predictions_loss: 37.0555 - logcount_predictions_loss: 0.2658 67/378 [====>.........................] - ETA: 4:10 - loss: 37.2976 - logits_profile_predictions_loss: 37.0327 - logcount_predictions_loss: 0.2649 68/378 [====>.........................] - ETA: 4:09 - loss: 37.3482 - logits_profile_predictions_loss: 37.0812 - logcount_predictions_loss: 0.2670 69/378 [====>.........................] - ETA: 4:08 - loss: 37.2520 - logits_profile_predictions_loss: 36.9850 - logcount_predictions_loss: 0.2670 70/378 [====>.........................] - ETA: 4:08 - loss: 37.2899 - logits_profile_predictions_loss: 37.0228 - logcount_predictions_loss: 0.2670 71/378 [====>.........................] - ETA: 4:07 - loss: 37.3149 - logits_profile_predictions_loss: 37.0468 - logcount_predictions_loss: 0.2681 72/378 [====>.........................] - ETA: 4:07 - loss: 37.3822 - logits_profile_predictions_loss: 37.1129 - logcount_predictions_loss: 0.2693 73/378 [====>.........................] - ETA: 4:06 - loss: 37.4596 - logits_profile_predictions_loss: 37.1904 - logcount_predictions_loss: 0.2691 74/378 [====>.........................] - ETA: 4:05 - loss: 37.4740 - logits_profile_predictions_loss: 37.2036 - logcount_predictions_loss: 0.2704 75/378 [====>.........................] - ETA: 4:05 - loss: 37.4121 - logits_profile_predictions_loss: 37.1417 - logcount_predictions_loss: 0.2705 76/378 [=====>........................] - ETA: 4:04 - loss: 37.4676 - logits_profile_predictions_loss: 37.1974 - logcount_predictions_loss: 0.2702 77/378 [=====>........................] - ETA: 4:04 - loss: 37.4756 - logits_profile_predictions_loss: 37.2042 - logcount_predictions_loss: 0.2715 78/378 [=====>........................] - ETA: 4:03 - loss: 37.5873 - logits_profile_predictions_loss: 37.3155 - logcount_predictions_loss: 0.2718 79/378 [=====>........................] - ETA: 4:02 - loss: 37.6116 - logits_profile_predictions_loss: 37.3405 - logcount_predictions_loss: 0.2711 80/378 [=====>........................] - ETA: 4:02 - loss: 37.6193 - logits_profile_predictions_loss: 37.3485 - logcount_predictions_loss: 0.2708 81/378 [=====>........................] - ETA: 4:01 - loss: 37.6358 - logits_profile_predictions_loss: 37.3652 - logcount_predictions_loss: 0.2706 82/378 [=====>........................] - ETA: 4:00 - loss: 37.5849 - logits_profile_predictions_loss: 37.3134 - logcount_predictions_loss: 0.2714 83/378 [=====>........................] - ETA: 3:59 - loss: 37.6023 - logits_profile_predictions_loss: 37.3291 - logcount_predictions_loss: 0.2732 84/378 [=====>........................] - ETA: 3:59 - loss: 37.5676 - logits_profile_predictions_loss: 37.2951 - logcount_predictions_loss: 0.2725 85/378 [=====>........................] - ETA: 3:58 - loss: 37.6462 - logits_profile_predictions_loss: 37.3742 - logcount_predictions_loss: 0.2720 86/378 [=====>........................] - ETA: 3:57 - loss: 37.6044 - logits_profile_predictions_loss: 37.3323 - logcount_predictions_loss: 0.2721 87/378 [=====>........................] - ETA: 3:57 - loss: 37.6112 - logits_profile_predictions_loss: 37.3384 - logcount_predictions_loss: 0.2729 88/378 [=====>........................] - ETA: 3:56 - loss: 37.5345 - logits_profile_predictions_loss: 37.2625 - logcount_predictions_loss: 0.2720 89/378 [======>.......................] - ETA: 3:55 - loss: 37.4961 - logits_profile_predictions_loss: 37.2248 - logcount_predictions_loss: 0.2713 90/378 [======>.......................] - ETA: 3:55 - loss: 37.4050 - logits_profile_predictions_loss: 37.1330 - logcount_predictions_loss: 0.2721 91/378 [======>.......................] - ETA: 3:54 - loss: 37.3795 - logits_profile_predictions_loss: 37.1072 - logcount_predictions_loss: 0.2723 92/378 [======>.......................] - ETA: 3:53 - loss: 37.3803 - logits_profile_predictions_loss: 37.1073 - logcount_predictions_loss: 0.2731 93/378 [======>.......................] - ETA: 3:52 - loss: 37.3809 - logits_profile_predictions_loss: 37.1080 - logcount_predictions_loss: 0.2729 94/378 [======>.......................] - ETA: 3:52 - loss: 37.3846 - logits_profile_predictions_loss: 37.1112 - logcount_predictions_loss: 0.2734 95/378 [======>.......................] - ETA: 3:51 - loss: 37.3485 - logits_profile_predictions_loss: 37.0742 - logcount_predictions_loss: 0.2743 96/378 [======>.......................] - ETA: 3:50 - loss: 37.3741 - 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[=======>......................] - ETA: 3:45 - loss: 37.2880 - logits_profile_predictions_loss: 37.0102 - logcount_predictions_loss: 0.2778 104/378 [=======>......................] - ETA: 3:45 - loss: 37.2527 - logits_profile_predictions_loss: 36.9752 - logcount_predictions_loss: 0.2775 105/378 [=======>......................] - ETA: 3:44 - loss: 37.2750 - logits_profile_predictions_loss: 36.9971 - logcount_predictions_loss: 0.2780 106/378 [=======>......................] - ETA: 3:43 - loss: 37.3274 - logits_profile_predictions_loss: 37.0479 - logcount_predictions_loss: 0.2795 107/378 [=======>......................] - ETA: 3:42 - loss: 37.3209 - logits_profile_predictions_loss: 37.0404 - logcount_predictions_loss: 0.2805 108/378 [=======>......................] - ETA: 3:42 - loss: 37.3119 - logits_profile_predictions_loss: 37.0313 - logcount_predictions_loss: 0.2806 109/378 [=======>......................] - ETA: 3:41 - loss: 37.3182 - logits_profile_predictions_loss: 37.0380 - 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[=======================>......] - ETA: 1:03 - loss: 37.6822 - logits_profile_predictions_loss: 37.3986 - logcount_predictions_loss: 0.2836 304/378 [=======================>......] - ETA: 1:02 - loss: 37.7078 - logits_profile_predictions_loss: 37.4243 - logcount_predictions_loss: 0.2835 305/378 [=======================>......] - ETA: 1:02 - loss: 37.7260 - logits_profile_predictions_loss: 37.4428 - logcount_predictions_loss: 0.2832 306/378 [=======================>......] - ETA: 1:01 - loss: 37.7407 - logits_profile_predictions_loss: 37.4576 - logcount_predictions_loss: 0.2831 307/378 [=======================>......] - ETA: 1:00 - loss: 37.7395 - logits_profile_predictions_loss: 37.4564 - logcount_predictions_loss: 0.2831 308/378 [=======================>......] - ETA: 59s - loss: 37.7515 - logits_profile_predictions_loss: 37.4685 - logcount_predictions_loss: 0.2831  309/378 [=======================>......] - ETA: 58s - loss: 37.7361 - logits_profile_predictions_loss: 37.4532 - 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- ETA: 46s - loss: 37.7509 - logits_profile_predictions_loss: 37.4694 - logcount_predictions_loss: 0.2816 324/378 [========================>.....] - ETA: 45s - loss: 37.7491 - logits_profile_predictions_loss: 37.4677 - logcount_predictions_loss: 0.2814 325/378 [========================>.....] - ETA: 45s - loss: 37.7544 - logits_profile_predictions_loss: 37.4731 - logcount_predictions_loss: 0.2813 326/378 [========================>.....] - ETA: 44s - loss: 37.7613 - logits_profile_predictions_loss: 37.4801 - logcount_predictions_loss: 0.2812 327/378 [========================>.....] - ETA: 43s - loss: 37.7657 - logits_profile_predictions_loss: 37.4845 - logcount_predictions_loss: 0.2813 328/378 [=========================>....] - ETA: 42s - loss: 37.7698 - logits_profile_predictions_loss: 37.4886 - logcount_predictions_loss: 0.2812 329/378 [=========================>....] - ETA: 41s - loss: 37.7706 - logits_profile_predictions_loss: 37.4894 - logcount_predictions_loss: 0.2812 330/378 [=========================>....] - ETA: 40s - loss: 37.8026 - logits_profile_predictions_loss: 37.5215 - logcount_predictions_loss: 0.2811 331/378 [=========================>....] - ETA: 40s - loss: 37.7993 - logits_profile_predictions_loss: 37.5182 - logcount_predictions_loss: 0.2811 332/378 [=========================>....] - ETA: 39s - loss: 37.7929 - logits_profile_predictions_loss: 37.5119 - logcount_predictions_loss: 0.2810 333/378 [=========================>....] - ETA: 38s - loss: 37.7986 - logits_profile_predictions_loss: 37.5175 - logcount_predictions_loss: 0.2811 334/378 [=========================>....] - ETA: 37s - loss: 37.8125 - logits_profile_predictions_loss: 37.5314 - logcount_predictions_loss: 0.2811 335/378 [=========================>....] - ETA: 36s - loss: 37.8238 - logits_profile_predictions_loss: 37.5429 - logcount_predictions_loss: 0.2809 336/378 [=========================>....] - ETA: 35s - loss: 37.8305 - logits_profile_predictions_loss: 37.5496 - 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- ETA: 23s - loss: 37.8403 - logits_profile_predictions_loss: 37.5587 - logcount_predictions_loss: 0.2816 351/378 [==========================>...] - ETA: 22s - loss: 37.8425 - logits_profile_predictions_loss: 37.5608 - logcount_predictions_loss: 0.2817 352/378 [==========================>...] - ETA: 22s - loss: 37.8473 - logits_profile_predictions_loss: 37.5656 - logcount_predictions_loss: 0.2817 353/378 [===========================>..] - ETA: 21s - loss: 37.8523 - logits_profile_predictions_loss: 37.5705 - logcount_predictions_loss: 0.2818 354/378 [===========================>..] - ETA: 20s - loss: 37.8603 - logits_profile_predictions_loss: 37.5783 - logcount_predictions_loss: 0.2819 355/378 [===========================>..] - ETA: 19s - loss: 37.8600 - logits_profile_predictions_loss: 37.5780 - logcount_predictions_loss: 0.2820 356/378 [===========================>..] - ETA: 18s - loss: 37.8561 - logits_profile_predictions_loss: 37.5742 - logcount_predictions_loss: 0.2819 357/378 [===========================>..] - ETA: 17s - loss: 37.8611 - logits_profile_predictions_loss: 37.5793 - logcount_predictions_loss: 0.2818 358/378 [===========================>..] - ETA: 17s - loss: 37.8688 - logits_profile_predictions_loss: 37.5870 - logcount_predictions_loss: 0.2819 359/378 [===========================>..] - ETA: 16s - loss: 37.8718 - logits_profile_predictions_loss: 37.5899 - logcount_predictions_loss: 0.2820 360/378 [===========================>..] - ETA: 15s - loss: 37.8776 - logits_profile_predictions_loss: 37.5955 - logcount_predictions_loss: 0.2821 361/378 [===========================>..] - ETA: 14s - loss: 37.8676 - logits_profile_predictions_loss: 37.5855 - logcount_predictions_loss: 0.2821 362/378 [===========================>..] - ETA: 13s - loss: 37.8625 - logits_profile_predictions_loss: 37.5805 - logcount_predictions_loss: 0.2820 363/378 [===========================>..] - ETA: 12s - loss: 37.8822 - logits_profile_predictions_loss: 37.6004 - 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logits_profile_predictions_loss: 37.6661 - logcount_predictions_loss: 0.2825 371/378 [============================>.] - ETA: 5s - loss: 37.9569 - logits_profile_predictions_loss: 37.6745 - logcount_predictions_loss: 0.2824 372/378 [============================>.] - ETA: 5s - loss: 37.9527 - logits_profile_predictions_loss: 37.6704 - logcount_predictions_loss: 0.2823 373/378 [============================>.] - ETA: 4s - loss: 37.9603 - logits_profile_predictions_loss: 37.6782 - logcount_predictions_loss: 0.2821 374/378 [============================>.] - ETA: 3s - loss: 37.9514 - logits_profile_predictions_loss: 37.6694 - logcount_predictions_loss: 0.2820 375/378 [============================>.] - ETA: 2s - loss: 37.9482 - logits_profile_predictions_loss: 37.6662 - logcount_predictions_loss: 0.2819 376/378 [============================>.] - ETA: 1s - loss: 37.9356 - logits_profile_predictions_loss: 37.6539 - logcount_predictions_loss: 0.2817 377/378 [============================>.] - ETA: 0s - loss: 37.9094 - logits_profile_predictions_loss: 37.6278 - logcount_predictions_loss: 0.2816 378/378 [==============================] - ETA: 0s - loss: 37.9178 - logits_profile_predictions_loss: 37.6362 - logcount_predictions_loss: 0.2816 Epoch 12: val_loss did not improve from 41.50948  378/378 [==============================] - 332s 879ms/step - loss: 37.9178 - logits_profile_predictions_loss: 37.6362 - logcount_predictions_loss: 0.2816 - val_loss: 42.7003 - val_logits_profile_predictions_loss: 42.4662 - val_logcount_predictions_loss: 0.2341 Epoch 13/50 1/378 [..............................] - ETA: 4:34 - loss: 30.7688 - logits_profile_predictions_loss: 30.6138 - logcount_predictions_loss: 0.1549 2/378 [..............................] - ETA: 4:31 - loss: 31.3662 - logits_profile_predictions_loss: 31.1141 - logcount_predictions_loss: 0.2522 3/378 [..............................] - ETA: 4:31 - loss: 33.7553 - logits_profile_predictions_loss: 33.5204 - logcount_predictions_loss: 0.2349 4/378 [..............................] - ETA: 4:32 - loss: 35.9121 - logits_profile_predictions_loss: 35.6331 - logcount_predictions_loss: 0.2790 5/378 [..............................] - ETA: 4:31 - loss: 38.0804 - logits_profile_predictions_loss: 37.7873 - logcount_predictions_loss: 0.2932 6/378 [..............................] - ETA: 4:31 - loss: 37.3961 - logits_profile_predictions_loss: 37.1097 - logcount_predictions_loss: 0.2864 7/378 [..............................] - ETA: 4:30 - loss: 37.1880 - logits_profile_predictions_loss: 36.9220 - logcount_predictions_loss: 0.2661 8/378 [..............................] - ETA: 4:32 - loss: 37.1500 - logits_profile_predictions_loss: 36.8893 - logcount_predictions_loss: 0.2607 9/378 [..............................] - ETA: 4:32 - loss: 37.6602 - logits_profile_predictions_loss: 37.4075 - logcount_predictions_loss: 0.2528 10/378 [..............................] - ETA: 4:31 - loss: 37.6511 - logits_profile_predictions_loss: 37.3955 - 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logcount_predictions_loss: 0.2730 312/378 [=======================>......] - ETA: 56s - loss: 37.1467 - logits_profile_predictions_loss: 36.8738 - logcount_predictions_loss: 0.2729 313/378 [=======================>......] - ETA: 55s - loss: 37.1501 - logits_profile_predictions_loss: 36.8773 - logcount_predictions_loss: 0.2729 314/378 [=======================>......] - ETA: 54s - loss: 37.1617 - logits_profile_predictions_loss: 36.8889 - logcount_predictions_loss: 0.2728 315/378 [========================>.....] - ETA: 53s - loss: 37.1693 - logits_profile_predictions_loss: 36.8963 - logcount_predictions_loss: 0.2730 316/378 [========================>.....] - ETA: 52s - loss: 37.1787 - logits_profile_predictions_loss: 36.9057 - logcount_predictions_loss: 0.2730 317/378 [========================>.....] - ETA: 51s - loss: 37.1691 - logits_profile_predictions_loss: 36.8962 - logcount_predictions_loss: 0.2730 318/378 [========================>.....] - ETA: 51s - loss: 37.1898 - logits_profile_predictions_loss: 36.9167 - logcount_predictions_loss: 0.2731 319/378 [========================>.....] - ETA: 50s - loss: 37.1745 - logits_profile_predictions_loss: 36.9018 - logcount_predictions_loss: 0.2727 320/378 [========================>.....] - ETA: 49s - loss: 37.1821 - logits_profile_predictions_loss: 36.9096 - logcount_predictions_loss: 0.2725 321/378 [========================>.....] - ETA: 48s - loss: 37.1677 - logits_profile_predictions_loss: 36.8952 - logcount_predictions_loss: 0.2725 322/378 [========================>.....] - ETA: 47s - loss: 37.1629 - logits_profile_predictions_loss: 36.8905 - logcount_predictions_loss: 0.2724 323/378 [========================>.....] - ETA: 46s - loss: 37.1494 - logits_profile_predictions_loss: 36.8768 - logcount_predictions_loss: 0.2725 324/378 [========================>.....] - ETA: 45s - loss: 37.1451 - logits_profile_predictions_loss: 36.8724 - logcount_predictions_loss: 0.2726 325/378 [========================>.....] - ETA: 45s - loss: 37.1498 - logits_profile_predictions_loss: 36.8772 - logcount_predictions_loss: 0.2726 326/378 [========================>.....] - ETA: 44s - loss: 37.1532 - logits_profile_predictions_loss: 36.8808 - logcount_predictions_loss: 0.2725 327/378 [========================>.....] - ETA: 43s - loss: 37.1482 - logits_profile_predictions_loss: 36.8758 - logcount_predictions_loss: 0.2724 328/378 [=========================>....] - ETA: 42s - loss: 37.1304 - logits_profile_predictions_loss: 36.8576 - logcount_predictions_loss: 0.2728 329/378 [=========================>....] - ETA: 41s - loss: 37.1334 - logits_profile_predictions_loss: 36.8606 - logcount_predictions_loss: 0.2727 330/378 [=========================>....] - ETA: 40s - loss: 37.1226 - logits_profile_predictions_loss: 36.8499 - logcount_predictions_loss: 0.2727 331/378 [=========================>....] - ETA: 40s - loss: 37.1115 - logits_profile_predictions_loss: 36.8389 - logcount_predictions_loss: 0.2726 332/378 [=========================>....] - ETA: 39s - loss: 37.1162 - logits_profile_predictions_loss: 36.8437 - logcount_predictions_loss: 0.2725 333/378 [=========================>....] - ETA: 38s - loss: 37.1169 - logits_profile_predictions_loss: 36.8445 - logcount_predictions_loss: 0.2724 334/378 [=========================>....] - ETA: 37s - loss: 37.1089 - logits_profile_predictions_loss: 36.8366 - logcount_predictions_loss: 0.2723 335/378 [=========================>....] - ETA: 36s - loss: 37.1191 - logits_profile_predictions_loss: 36.8468 - logcount_predictions_loss: 0.2723 336/378 [=========================>....] - ETA: 35s - loss: 37.1154 - logits_profile_predictions_loss: 36.8432 - logcount_predictions_loss: 0.2722 337/378 [=========================>....] - ETA: 34s - loss: 37.1323 - logits_profile_predictions_loss: 36.8600 - logcount_predictions_loss: 0.2723 338/378 [=========================>....] - ETA: 34s - loss: 37.1520 - logits_profile_predictions_loss: 36.8798 - logcount_predictions_loss: 0.2722 339/378 [=========================>....] - ETA: 33s - loss: 37.1398 - logits_profile_predictions_loss: 36.8679 - logcount_predictions_loss: 0.2719 340/378 [=========================>....] - ETA: 32s - loss: 37.1346 - logits_profile_predictions_loss: 36.8629 - logcount_predictions_loss: 0.2718 341/378 [==========================>...] - ETA: 31s - loss: 37.1283 - logits_profile_predictions_loss: 36.8567 - logcount_predictions_loss: 0.2717 342/378 [==========================>...] - ETA: 30s - loss: 37.1222 - logits_profile_predictions_loss: 36.8507 - logcount_predictions_loss: 0.2715 343/378 [==========================>...] - ETA: 29s - loss: 37.1102 - logits_profile_predictions_loss: 36.8385 - logcount_predictions_loss: 0.2717 344/378 [==========================>...] - ETA: 28s - loss: 37.1150 - logits_profile_predictions_loss: 36.8434 - logcount_predictions_loss: 0.2716 345/378 [==========================>...] - ETA: 28s - loss: 37.1248 - logits_profile_predictions_loss: 36.8532 - logcount_predictions_loss: 0.2715 346/378 [==========================>...] - ETA: 27s - loss: 37.1309 - logits_profile_predictions_loss: 36.8594 - logcount_predictions_loss: 0.2715 347/378 [==========================>...] - ETA: 26s - loss: 37.1371 - logits_profile_predictions_loss: 36.8656 - logcount_predictions_loss: 0.2715 348/378 [==========================>...] - ETA: 25s - loss: 37.1411 - logits_profile_predictions_loss: 36.8697 - logcount_predictions_loss: 0.2714 349/378 [==========================>...] - ETA: 24s - loss: 37.1227 - logits_profile_predictions_loss: 36.8513 - logcount_predictions_loss: 0.2713 350/378 [==========================>...] - ETA: 23s - loss: 37.1149 - logits_profile_predictions_loss: 36.8437 - logcount_predictions_loss: 0.2713 351/378 [==========================>...] - ETA: 23s - loss: 37.1258 - logits_profile_predictions_loss: 36.8541 - logcount_predictions_loss: 0.2717 352/378 [==========================>...] - ETA: 22s - loss: 37.1361 - logits_profile_predictions_loss: 36.8643 - logcount_predictions_loss: 0.2717 353/378 [===========================>..] - ETA: 21s - loss: 37.1546 - logits_profile_predictions_loss: 36.8829 - logcount_predictions_loss: 0.2717 354/378 [===========================>..] - ETA: 20s - loss: 37.1625 - logits_profile_predictions_loss: 36.8906 - logcount_predictions_loss: 0.2719 355/378 [===========================>..] - ETA: 19s - loss: 37.1612 - logits_profile_predictions_loss: 36.8895 - logcount_predictions_loss: 0.2718 356/378 [===========================>..] - ETA: 18s - loss: 37.1745 - logits_profile_predictions_loss: 36.9027 - logcount_predictions_loss: 0.2718 357/378 [===========================>..] - ETA: 17s - loss: 37.1615 - logits_profile_predictions_loss: 36.8896 - logcount_predictions_loss: 0.2719 358/378 [===========================>..] - ETA: 17s - loss: 37.1641 - logits_profile_predictions_loss: 36.8924 - logcount_predictions_loss: 0.2717 359/378 [===========================>..] - ETA: 16s - loss: 37.1599 - logits_profile_predictions_loss: 36.8883 - logcount_predictions_loss: 0.2716 360/378 [===========================>..] - ETA: 15s - loss: 37.1470 - logits_profile_predictions_loss: 36.8756 - logcount_predictions_loss: 0.2714 361/378 [===========================>..] - ETA: 14s - loss: 37.1618 - logits_profile_predictions_loss: 36.8905 - logcount_predictions_loss: 0.2713 362/378 [===========================>..] - ETA: 13s - loss: 37.1756 - logits_profile_predictions_loss: 36.9045 - logcount_predictions_loss: 0.2711 363/378 [===========================>..] - ETA: 12s - loss: 37.1751 - logits_profile_predictions_loss: 36.9041 - logcount_predictions_loss: 0.2710 364/378 [===========================>..] - ETA: 11s - loss: 37.1801 - logits_profile_predictions_loss: 36.9086 - logcount_predictions_loss: 0.2714 365/378 [===========================>..] - ETA: 11s - loss: 37.1726 - logits_profile_predictions_loss: 36.9014 - logcount_predictions_loss: 0.2712 366/378 [============================>.] - ETA: 10s - loss: 37.1739 - logits_profile_predictions_loss: 36.9030 - logcount_predictions_loss: 0.2709 367/378 [============================>.] - ETA: 9s - loss: 37.1691 - logits_profile_predictions_loss: 36.8982 - logcount_predictions_loss: 0.2709  368/378 [============================>.] - ETA: 8s - loss: 37.1639 - logits_profile_predictions_loss: 36.8929 - logcount_predictions_loss: 0.2710 369/378 [============================>.] - ETA: 7s - loss: 37.1504 - logits_profile_predictions_loss: 36.8795 - logcount_predictions_loss: 0.2709 370/378 [============================>.] - ETA: 6s - loss: 37.1630 - logits_profile_predictions_loss: 36.8921 - logcount_predictions_loss: 0.2709 371/378 [============================>.] - ETA: 5s - loss: 37.1693 - logits_profile_predictions_loss: 36.8986 - logcount_predictions_loss: 0.2706 372/378 [============================>.] - ETA: 5s - loss: 37.1642 - logits_profile_predictions_loss: 36.8937 - logcount_predictions_loss: 0.2706 373/378 [============================>.] - ETA: 4s - loss: 37.1696 - logits_profile_predictions_loss: 36.8991 - logcount_predictions_loss: 0.2704 374/378 [============================>.] - ETA: 3s - loss: 37.1654 - logits_profile_predictions_loss: 36.8950 - logcount_predictions_loss: 0.2705 375/378 [============================>.] - ETA: 2s - loss: 37.1709 - logits_profile_predictions_loss: 36.9004 - logcount_predictions_loss: 0.2705 376/378 [============================>.] - ETA: 1s - loss: 37.1809 - logits_profile_predictions_loss: 36.9102 - logcount_predictions_loss: 0.2707 377/378 [============================>.] - ETA: 0s - loss: 37.1697 - logits_profile_predictions_loss: 36.8988 - logcount_predictions_loss: 0.2709 378/378 [==============================] - ETA: 0s - loss: 37.1777 - logits_profile_predictions_loss: 36.9070 - logcount_predictions_loss: 0.2708 Epoch 13: val_loss did not improve from 41.50948 Restoring model weights from the end of the best epoch: 8.  378/378 [==============================] - 343s 909ms/step - loss: 37.1777 - logits_profile_predictions_loss: 36.9070 - logcount_predictions_loss: 0.2708 - val_loss: 43.1154 - val_logits_profile_predictions_loss: 42.8859 - val_logcount_predictions_loss: 0.2294 Epoch 13: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(6367, 10) 0/100 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 1/100 [..............................] - ETA: 29s 2/100 [..............................] - ETA: 22s 3/100 [..............................] - ETA: 22s 4/100 [>.............................] - ETA: 22s 5/100 [>.............................] - ETA: 21s 6/100 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100/100 [==============================] - 25s 256ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/100 [..............................] - ETA: 2s 2/100 [..............................] - ETA: 23s 3/100 [..............................] - ETA: 22s 4/100 [>.............................] - ETA: 22s 5/100 [>.............................] - ETA: 21s 6/100 [>.............................] - ETA: 21s 7/100 [=>............................] - ETA: 21s 8/100 [=>............................] - ETA: 21s 9/100 [=>............................] - ETA: 21s 10/100 [==>...........................] - ETA: 21s 11/100 [==>...........................] - ETA: 21s 12/100 [==>...........................] - ETA: 20s 13/100 [==>...........................] - ETA: 20s 14/100 [===>..........................] - ETA: 20s 15/100 [===>..........................] - ETA: 20s 16/100 [===>..........................] - ETA: 20s 17/100 [====>.........................] - ETA: 19s 18/100 [====>.........................] - 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ETA: 22s 4/100 [>.............................] - ETA: 22s 5/100 [>.............................] - ETA: 21s 6/100 [>.............................] - ETA: 21s 7/100 [=>............................] - ETA: 21s 8/100 [=>............................] - ETA: 21s 9/100 [=>............................] - ETA: 21s 10/100 [==>...........................] - ETA: 20s 11/100 [==>...........................] - ETA: 20s 12/100 [==>...........................] - ETA: 20s 13/100 [==>...........................] - ETA: 20s 14/100 [===>..........................] - ETA: 19s 15/100 [===>..........................] - ETA: 19s 16/100 [===>..........................] - ETA: 19s 17/100 [====>.........................] - ETA: 19s 18/100 [====>.........................] - ETA: 19s 19/100 [====>.........................] - ETA: 18s 20/100 [=====>........................] - ETA: 18s 21/100 [=====>........................] - ETA: 18s 22/100 [=====>........................] - ETA: 18s 23/100 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100/100 [==============================] - 26s 258ms/step Saving marginal footprints got the model Model: "model_1" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== sequence (InputLayer) [(None, 2114, 4)] 0 [] wo_bias_bpnet_1st_conv (Conv1D (None, 2094, 512) 43520 ['sequence[0][0]'] ) wo_bias_bpnet_1conv (Conv1D) (None, 2090, 512) 786944 ['wo_bias_bpnet_1st_conv[0][0]'] wo_bias_bpnet_1crop (Cropping1 (None, 2090, 512) 0 ['wo_bias_bpnet_1st_conv[0][0]'] D) add (Add) (None, 2090, 512) 0 ['wo_bias_bpnet_1conv[0][0]', 'wo_bias_bpnet_1crop[0][0]'] wo_bias_bpnet_2conv (Conv1D) (None, 2082, 512) 786944 ['add[0][0]'] wo_bias_bpnet_2crop (Cropping1 (None, 2082, 512) 0 ['add[0][0]'] D) add_1 (Add) (None, 2082, 512) 0 ['wo_bias_bpnet_2conv[0][0]', 'wo_bias_bpnet_2crop[0][0]'] wo_bias_bpnet_3conv (Conv1D) (None, 2066, 512) 786944 ['add_1[0][0]'] wo_bias_bpnet_3crop (Cropping1 (None, 2066, 512) 0 ['add_1[0][0]'] D) add_2 (Add) (None, 2066, 512) 0 ['wo_bias_bpnet_3conv[0][0]', 'wo_bias_bpnet_3crop[0][0]'] wo_bias_bpnet_4conv (Conv1D) (None, 2034, 512) 786944 ['add_2[0][0]'] wo_bias_bpnet_4crop (Cropping1 (None, 2034, 512) 0 ['add_2[0][0]'] D) add_3 (Add) (None, 2034, 512) 0 ['wo_bias_bpnet_4conv[0][0]', 'wo_bias_bpnet_4crop[0][0]'] wo_bias_bpnet_5conv (Conv1D) (None, 1970, 512) 786944 ['add_3[0][0]'] wo_bias_bpnet_5crop (Cropping1 (None, 1970, 512) 0 ['add_3[0][0]'] D) add_4 (Add) (None, 1970, 512) 0 ['wo_bias_bpnet_5conv[0][0]', 'wo_bias_bpnet_5crop[0][0]'] wo_bias_bpnet_6conv (Conv1D) (None, 1842, 512) 786944 ['add_4[0][0]'] wo_bias_bpnet_6crop (Cropping1 (None, 1842, 512) 0 ['add_4[0][0]'] D) add_5 (Add) (None, 1842, 512) 0 ['wo_bias_bpnet_6conv[0][0]', 'wo_bias_bpnet_6crop[0][0]'] wo_bias_bpnet_7conv (Conv1D) (None, 1586, 512) 786944 ['add_5[0][0]'] wo_bias_bpnet_7crop (Cropping1 (None, 1586, 512) 0 ['add_5[0][0]'] D) add_6 (Add) (None, 1586, 512) 0 ['wo_bias_bpnet_7conv[0][0]', 'wo_bias_bpnet_7crop[0][0]'] wo_bias_bpnet_8conv (Conv1D) (None, 1074, 512) 786944 ['add_6[0][0]'] wo_bias_bpnet_8crop (Cropping1 (None, 1074, 512) 0 ['add_6[0][0]'] D) add_7 (Add) (None, 1074, 512) 0 ['wo_bias_bpnet_8conv[0][0]', 'wo_bias_bpnet_8crop[0][0]'] wo_bias_bpnet_prof_out_precrop (None, 1000, 1) 38401 ['add_7[0][0]'] (Conv1D) wo_bias_bpnet_logitt_before_fl (None, 1000, 1) 0 ['wo_bias_bpnet_prof_out_precrop[ atten (Cropping1D) 0][0]'] gap (GlobalAveragePooling1D) (None, 512) 0 ['add_7[0][0]'] wo_bias_bpnet_logits_profile_p (None, 1000) 0 ['wo_bias_bpnet_logitt_before_fla redictions (Flatten) tten[0][0]'] wo_bias_bpnet_logcount_predict (None, 1) 513 ['gap[0][0]'] ions (Dense) ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 Seqs dimension : (30000, 2114, 4) Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: AddV2 used in model but handling of op is not specified by shap; will use original gradients Warning: StopGradient used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Warning: SpaceToBatchND used in model but handling of op is not specified by shap; will use original gradients Warning: BatchToSpaceND used in model but handling of op is not specified by shap; will use original gradients Generating 'profile' shap scores Done 0 examples of 30000 Done 100 examples of 30000 Done 200 examples of 30000 Done 300 examples of 30000 Done 400 examples of 30000 Done 500 examples of 30000 Done 600 examples of 30000 Done 700 examples of 30000 Done 800 examples of 30000 Done 900 examples of 30000 Done 1000 examples of 30000 Done 1100 examples of 30000 Done 1200 examples of 30000 Done 1300 examples of 30000 Done 1400 examples of 30000 Done 1500 examples of 30000 Done 1600 examples of 30000 Done 1700 examples of 30000 Done 1800 examples of 30000 Done 1900 examples of 30000 Done 2000 examples of 30000 Done 2100 examples of 30000 Done 2200 examples of 30000 Done 2300 examples of 30000 Done 2400 examples of 30000 Done 2500 examples of 30000 Done 2600 examples of 30000 Done 2700 examples of 30000 Done 2800 examples of 30000 Done 2900 examples of 30000 Done 3000 examples of 30000 Done 3100 examples of 30000 Done 3200 examples of 30000 Done 3300 examples of 30000 Done 3400 examples of 30000 Done 3500 examples of 30000 Done 3600 examples of 30000 Done 3700 examples of 30000 Done 3800 examples of 30000 Done 3900 examples of 30000 Done 4000 examples of 30000 Done 4100 examples of 30000 Done 4200 examples of 30000 Done 4300 examples of 30000 Done 4400 examples of 30000 Done 4500 examples of 30000 Done 4600 examples of 30000 Done 4700 examples of 30000 Done 4800 examples of 30000 Done 4900 examples of 30000 Done 5000 examples of 30000 Done 5100 examples of 30000 Done 5200 examples of 30000 Done 5300 examples of 30000 Done 5400 examples of 30000 Done 5500 examples of 30000 Done 5600 examples of 30000 Done 5700 examples of 30000 Done 5800 examples of 30000 Done 5900 examples of 30000 Done 6000 examples of 30000 Done 6100 examples of 30000 Done 6200 examples of 30000 Done 6300 examples of 30000 Done 6400 examples of 30000 Done 6500 examples of 30000 Done 6600 examples of 30000 Done 6700 examples of 30000 Done 6800 examples of 30000 Done 6900 examples of 30000 Done 7000 examples of 30000 Done 7100 examples of 30000 Done 7200 examples of 30000 Done 7300 examples of 30000 Done 7400 examples of 30000 Done 7500 examples of 30000 Done 7600 examples of 30000 Done 7700 examples of 30000 Done 7800 examples of 30000 Done 7900 examples of 30000 Done 8000 examples of 30000 Done 8100 examples of 30000 Done 8200 examples of 30000 Done 8300 examples of 30000 Done 8400 examples of 30000 Done 8500 examples of 30000 Done 8600 examples of 30000 Done 8700 examples of 30000 Done 8800 examples of 30000 Done 8900 examples of 30000 Done 9000 examples of 30000 Done 9100 examples of 30000 Done 9200 examples of 30000 Done 9300 examples of 30000 Done 9400 examples of 30000 Done 9500 examples of 30000 Done 9600 examples of 30000 Done 9700 examples of 30000 Done 9800 examples of 30000 Done 9900 examples of 30000 Done 10000 examples of 30000 Done 10100 examples of 30000 Done 10200 examples of 30000 Done 10300 examples of 30000 Done 10400 examples of 30000 Done 10500 examples of 30000 Done 10600 examples of 30000 Done 10700 examples of 30000 Done 10800 examples of 30000 Done 10900 examples of 30000 Done 11000 examples of 30000 Done 11100 examples of 30000 Done 11200 examples of 30000 Done 11300 examples of 30000 Done 11400 examples of 30000 Done 11500 examples of 30000 Done 11600 examples of 30000 Done 11700 examples of 30000 Done 11800 examples of 30000 Done 11900 examples of 30000 Done 12000 examples of 30000 Done 12100 examples of 30000 Done 12200 examples of 30000 Done 12300 examples of 30000 Done 12400 examples of 30000 Done 12500 examples of 30000 Done 12600 examples of 30000 Done 12700 examples of 30000 Done 12800 examples of 30000 Done 12900 examples of 30000 Done 13000 examples of 30000 Done 13100 examples of 30000 Done 13200 examples of 30000 Done 13300 examples of 30000 Done 13400 examples of 30000 Done 13500 examples of 30000 Done 13600 examples of 30000 Done 13700 examples of 30000 Done 13800 examples of 30000 Done 13900 examples of 30000 Done 14000 examples of 30000 Done 14100 examples of 30000 Done 14200 examples of 30000 Done 14300 examples of 30000 Done 14400 examples of 30000 Done 14500 examples of 30000 Done 14600 examples of 30000 Done 14700 examples of 30000 Done 14800 examples of 30000 Done 14900 examples of 30000 Done 15000 examples of 30000 Done 15100 examples of 30000 Done 15200 examples of 30000 Done 15300 examples of 30000 Done 15400 examples of 30000 Done 15500 examples of 30000 Done 15600 examples of 30000 Done 15700 examples of 30000 Done 15800 examples of 30000 Done 15900 examples of 30000 Done 16000 examples of 30000 Done 16100 examples of 30000 Done 16200 examples of 30000 Done 16300 examples of 30000 Done 16400 examples of 30000 Done 16500 examples of 30000 Done 16600 examples of 30000 Done 16700 examples of 30000 Done 16800 examples of 30000 Done 16900 examples of 30000 Done 17000 examples of 30000 Done 17100 examples of 30000 Done 17200 examples of 30000 Done 17300 examples of 30000 Done 17400 examples of 30000 Done 17500 examples of 30000 Done 17600 examples of 30000 Done 17700 examples of 30000 Done 17800 examples of 30000 Done 17900 examples of 30000 Done 18000 examples of 30000 Done 18100 examples of 30000 Done 18200 examples of 30000 Done 18300 examples of 30000 Done 18400 examples of 30000 Done 18500 examples of 30000 Done 18600 examples of 30000 Done 18700 examples of 30000 Done 18800 examples of 30000 Done 18900 examples of 30000 Done 19000 examples of 30000 Done 19100 examples of 30000 Done 19200 examples of 30000 Done 19300 examples of 30000 Done 19400 examples of 30000 Done 19500 examples of 30000 Done 19600 examples of 30000 Done 19700 examples of 30000 Done 19800 examples of 30000 Done 19900 examples of 30000 Done 20000 examples of 30000 Done 20100 examples of 30000 Done 20200 examples of 30000 Done 20300 examples of 30000 Done 20400 examples of 30000 Done 20500 examples of 30000 Done 20600 examples of 30000 Done 20700 examples of 30000 Done 20800 examples of 30000 Done 20900 examples of 30000 Done 21000 examples of 30000 Done 21100 examples of 30000 Done 21200 examples of 30000 Done 21300 examples of 30000 Done 21400 examples of 30000 Done 21500 examples of 30000 Done 21600 examples of 30000 Done 21700 examples of 30000 Done 21800 examples of 30000 Done 21900 examples of 30000 Done 22000 examples of 30000 Done 22100 examples of 30000 Done 22200 examples of 30000 Done 22300 examples of 30000 Done 22400 examples of 30000 Done 22500 examples of 30000 Done 22600 examples of 30000 Done 22700 examples of 30000 Done 22800 examples of 30000 Done 22900 examples of 30000 Done 23000 examples of 30000 Done 23100 examples of 30000 Done 23200 examples of 30000 Done 23300 examples of 30000 Done 23400 examples of 30000 Done 23500 examples of 30000 Done 23600 examples of 30000 Done 23700 examples of 30000 Done 23800 examples of 30000 Done 23900 examples of 30000 Done 24000 examples of 30000 Done 24100 examples of 30000 Done 24200 examples of 30000 Done 24300 examples of 30000 Done 24400 examples of 30000 Done 24500 examples of 30000 Done 24600 examples of 30000 Done 24700 examples of 30000 Done 24800 examples of 30000 Done 24900 examples of 30000 Done 25000 examples of 30000 Done 25100 examples of 30000 Done 25200 examples of 30000 Done 25300 examples of 30000 Done 25400 examples of 30000 Done 25500 examples of 30000 Done 25600 examples of 30000 Done 25700 examples of 30000 Done 25800 examples of 30000 Done 25900 examples of 30000 Done 26000 examples of 30000 Done 26100 examples of 30000 Done 26200 examples of 30000 Done 26300 examples of 30000 Done 26400 examples of 30000 Done 26500 examples of 30000 Done 26600 examples of 30000 Done 26700 examples of 30000 Done 26800 examples of 30000 Done 26900 examples of 30000 Done 27000 examples of 30000 Done 27100 examples of 30000 Done 27200 examples of 30000 Done 27300 examples of 30000 Done 27400 examples of 30000 Done 27500 examples of 30000 Done 27600 examples of 30000 Done 27700 examples of 30000 Done 27800 examples of 30000 Done 27900 examples of 30000 Done 28000 examples of 30000 Done 28100 examples of 30000 Done 28200 examples of 30000 Done 28300 examples of 30000 Done 28400 examples of 30000 Done 28500 examples of 30000 Done 28600 examples of 30000 Done 28700 examples of 30000 Done 28800 examples of 30000 Done 28900 examples of 30000 Done 29000 examples of 30000 Done 29100 examples of 30000 Done 29200 examples of 30000 Done 29300 examples of 30000 Done 29400 examples of 30000 Done 29500 examples of 30000 Done 29600 examples of 30000 Done 29700 examples of 30000 Done 29800 examples of 30000 Done 29900 examples of 30000 Saving 'profile' scores