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: 6823 evaluating hyperparameters on the following chromosomes ['chr2', 'chr4', 'chr5', 'chr7', 'chr9', 'chr10', 'chr11', 'chr12', 'chr13', 'chr14', 'chr15', 'chr16', 'chr17', 'chr18', 'chr19', 'chr21', 'chr22', 'chrX', 'chrY', 'chr8', 'chr20'] Number of peaks input: 2497 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 2497 Number of peaks input: 628 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 628 Number of non peaks input: 4994 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 4994 Number of non peaks input: 628 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 628 Number of peaks after removing outliers: 2495 Number of nonpeaks after removing outliers: 378 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 1/12 [=>............................] - ETA: 16s 7/12 [================>.............] - ETA: 0s  12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 15ms/step got the model loading peaks... got split:test for bed regions:(628, 10) 0/10 Bias model pearsonr performance in peaks is: -0.1 {'counts_loss_weight': '1.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/oak/stanford/groups/akundaje/soumyak/refs/hg38/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(2300, 10) loading nonpeaks... got split:train for bed regions:(359, 10) loading peaks... got split:valid for bed regions:(195, 10) loading nonpeaks... got split:valid for bed regions:(19, 10) Epoch 1/50 1/40 [..............................] - ETA: 5:31 - loss: 23.2802 - logits_profile_predictions_loss: 22.8026 - logcount_predictions_loss: 0.4776 2/40 [>.............................] - ETA: 28s - loss: 23.3048 - logits_profile_predictions_loss: 22.8293 - logcount_predictions_loss: 0.4755  3/40 [=>............................] - ETA: 28s - loss: 22.9731 - logits_profile_predictions_loss: 22.5219 - logcount_predictions_loss: 0.4513 4/40 [==>...........................] - ETA: 27s - loss: 23.2700 - logits_profile_predictions_loss: 22.8228 - logcount_predictions_loss: 0.4472 5/40 [==>...........................] - ETA: 26s - loss: 31.1970 - logits_profile_predictions_loss: 30.7379 - logcount_predictions_loss: 0.4590 6/40 [===>..........................] - ETA: 25s - loss: 29.6593 - logits_profile_predictions_loss: 29.2157 - logcount_predictions_loss: 0.4436 7/40 [====>.........................] - ETA: 41s - loss: 34.9199 - logits_profile_predictions_loss: 34.4662 - logcount_predictions_loss: 0.4537 8/40 [=====>........................] - ETA: 38s - loss: 33.4838 - logits_profile_predictions_loss: 33.0301 - logcount_predictions_loss: 0.4538 9/40 [=====>........................] - ETA: 35s - loss: 32.5728 - logits_profile_predictions_loss: 32.1230 - logcount_predictions_loss: 0.4498 10/40 [======>.......................] - ETA: 33s - loss: 32.1079 - logits_profile_predictions_loss: 31.6516 - logcount_predictions_loss: 0.4563 11/40 [=======>......................] - ETA: 30s - loss: 31.5713 - logits_profile_predictions_loss: 31.1082 - logcount_predictions_loss: 0.4631 12/40 [========>.....................] - ETA: 29s - loss: 30.9595 - logits_profile_predictions_loss: 30.4972 - logcount_predictions_loss: 0.4623 13/40 [========>.....................] - ETA: 27s - loss: 30.2493 - logits_profile_predictions_loss: 29.7914 - logcount_predictions_loss: 0.4579 14/40 [=========>....................] - ETA: 25s - loss: 29.7568 - logits_profile_predictions_loss: 29.2928 - logcount_predictions_loss: 0.4640 15/40 [==========>...................] - ETA: 24s - loss: 29.3585 - logits_profile_predictions_loss: 28.8919 - logcount_predictions_loss: 0.4667 16/40 [===========>..................] - ETA: 23s - loss: 29.0233 - logits_profile_predictions_loss: 28.5544 - logcount_predictions_loss: 0.4689 17/40 [===========>..................] - ETA: 21s - loss: 28.7196 - logits_profile_predictions_loss: 28.2492 - logcount_predictions_loss: 0.4704 18/40 [============>.................] - ETA: 20s - loss: 28.3615 - logits_profile_predictions_loss: 27.8967 - logcount_predictions_loss: 0.4648 19/40 [=============>................] - ETA: 19s - loss: 28.1089 - logits_profile_predictions_loss: 27.6434 - logcount_predictions_loss: 0.4654 20/40 [==============>...............] - ETA: 18s - loss: 27.8226 - logits_profile_predictions_loss: 27.3569 - logcount_predictions_loss: 0.4657 21/40 [==============>...............] - ETA: 17s - loss: 27.6222 - logits_profile_predictions_loss: 27.1532 - logcount_predictions_loss: 0.4691 22/40 [===============>..............] - ETA: 16s - loss: 27.3238 - logits_profile_predictions_loss: 26.8605 - logcount_predictions_loss: 0.4633 23/40 [================>.............] - ETA: 15s - loss: 27.1545 - logits_profile_predictions_loss: 26.6901 - logcount_predictions_loss: 0.4644 24/40 [=================>............] - ETA: 14s - loss: 26.9512 - logits_profile_predictions_loss: 26.4924 - logcount_predictions_loss: 0.4588 25/40 [=================>............] - ETA: 13s - loss: 26.8596 - logits_profile_predictions_loss: 26.4008 - logcount_predictions_loss: 0.4588 26/40 [==================>...........] - ETA: 12s - loss: 26.7270 - logits_profile_predictions_loss: 26.2672 - logcount_predictions_loss: 0.4598 27/40 [===================>..........] - ETA: 11s - loss: 26.5912 - logits_profile_predictions_loss: 26.1352 - logcount_predictions_loss: 0.4560 28/40 [====================>.........] - ETA: 10s - loss: 26.4569 - logits_profile_predictions_loss: 26.0010 - logcount_predictions_loss: 0.4559 29/40 [====================>.........] - ETA: 9s - loss: 26.3179 - logits_profile_predictions_loss: 25.8655 - logcount_predictions_loss: 0.4524  30/40 [=====================>........] - ETA: 8s - loss: 26.2046 - logits_profile_predictions_loss: 25.7543 - logcount_predictions_loss: 0.4503 31/40 [======================>.......] - ETA: 7s - loss: 26.0900 - logits_profile_predictions_loss: 25.6436 - logcount_predictions_loss: 0.4465 32/40 [=======================>......] - ETA: 6s - loss: 25.9653 - logits_profile_predictions_loss: 25.5226 - logcount_predictions_loss: 0.4427 33/40 [=======================>......] - ETA: 5s - loss: 25.9116 - logits_profile_predictions_loss: 25.4726 - logcount_predictions_loss: 0.4391 34/40 [========================>.....] - ETA: 5s - loss: 25.7994 - logits_profile_predictions_loss: 25.3666 - logcount_predictions_loss: 0.4328 35/40 [=========================>....] - ETA: 4s - loss: 25.7090 - logits_profile_predictions_loss: 25.2798 - logcount_predictions_loss: 0.4291 36/40 [==========================>...] - ETA: 3s - loss: 25.6553 - logits_profile_predictions_loss: 25.2312 - logcount_predictions_loss: 0.4241 37/40 [==========================>...] - ETA: 2s - loss: 25.4915 - logits_profile_predictions_loss: 25.0731 - logcount_predictions_loss: 0.4184 38/40 [===========================>..] - ETA: 1s - loss: 25.4255 - logits_profile_predictions_loss: 25.0108 - logcount_predictions_loss: 0.4147 39/40 [============================>.] - ETA: 0s - loss: 25.3818 - logits_profile_predictions_loss: 24.9696 - logcount_predictions_loss: 0.4122 40/40 [==============================] - ETA: 0s - loss: 25.3220 - logits_profile_predictions_loss: 24.9144 - logcount_predictions_loss: 0.4076 Epoch 1: val_loss improved from inf to 23.95055, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/chrombpnet.h5  40/40 [==============================] - 44s 908ms/step - loss: 25.3220 - logits_profile_predictions_loss: 24.9144 - logcount_predictions_loss: 0.4076 - val_loss: 23.9506 - val_logits_profile_predictions_loss: 23.6950 - val_logcount_predictions_loss: 0.2556 Epoch 2/50 1/40 [..............................] - ETA: 30s - loss: 22.8270 - logits_profile_predictions_loss: 22.6242 - logcount_predictions_loss: 0.2027 2/40 [>.............................] - ETA: 28s - loss: 23.0030 - logits_profile_predictions_loss: 22.7869 - logcount_predictions_loss: 0.2161 3/40 [=>............................] - ETA: 28s - loss: 22.7543 - logits_profile_predictions_loss: 22.5332 - logcount_predictions_loss: 0.2211 4/40 [==>...........................] - ETA: 27s - loss: 22.8102 - logits_profile_predictions_loss: 22.6122 - logcount_predictions_loss: 0.1980 5/40 [==>...........................] - ETA: 26s - loss: 23.0897 - logits_profile_predictions_loss: 22.8941 - logcount_predictions_loss: 0.1956 6/40 [===>..........................] - ETA: 25s - loss: 23.3162 - logits_profile_predictions_loss: 23.1286 - logcount_predictions_loss: 0.1877 7/40 [====>.........................] - ETA: 25s - loss: 23.3937 - logits_profile_predictions_loss: 23.2109 - logcount_predictions_loss: 0.1828 8/40 [=====>........................] - ETA: 24s - loss: 22.9300 - logits_profile_predictions_loss: 22.7485 - logcount_predictions_loss: 0.1815 9/40 [=====>........................] - ETA: 22s - loss: 23.0080 - logits_profile_predictions_loss: 22.8252 - logcount_predictions_loss: 0.1828 10/40 [======>.......................] - ETA: 21s - loss: 22.8579 - logits_profile_predictions_loss: 22.6837 - logcount_predictions_loss: 0.1742 11/40 [=======>......................] - ETA: 21s - loss: 22.6855 - logits_profile_predictions_loss: 22.5150 - logcount_predictions_loss: 0.1705 12/40 [========>.....................] - ETA: 20s - loss: 22.5047 - logits_profile_predictions_loss: 22.3353 - logcount_predictions_loss: 0.1694 13/40 [========>.....................] - ETA: 19s - loss: 22.5067 - logits_profile_predictions_loss: 22.3387 - logcount_predictions_loss: 0.1681 14/40 [=========>....................] - ETA: 19s - loss: 22.5392 - logits_profile_predictions_loss: 22.3734 - logcount_predictions_loss: 0.1657 15/40 [==========>...................] - ETA: 18s - loss: 22.5110 - logits_profile_predictions_loss: 22.3495 - logcount_predictions_loss: 0.1615 16/40 [===========>..................] - ETA: 17s - loss: 22.5365 - logits_profile_predictions_loss: 22.3797 - logcount_predictions_loss: 0.1568 17/40 [===========>..................] - ETA: 16s - loss: 22.4863 - logits_profile_predictions_loss: 22.3341 - logcount_predictions_loss: 0.1522 18/40 [============>.................] - ETA: 16s - loss: 22.5233 - logits_profile_predictions_loss: 22.3693 - logcount_predictions_loss: 0.1540 19/40 [=============>................] - ETA: 15s - loss: 22.5728 - logits_profile_predictions_loss: 22.4187 - logcount_predictions_loss: 0.1541 20/40 [==============>...............] - ETA: 14s - loss: 22.5877 - logits_profile_predictions_loss: 22.4356 - logcount_predictions_loss: 0.1521 21/40 [==============>...............] - ETA: 14s - loss: 22.5299 - logits_profile_predictions_loss: 22.3801 - logcount_predictions_loss: 0.1498 22/40 [===============>..............] - ETA: 13s - loss: 22.5989 - logits_profile_predictions_loss: 22.4485 - logcount_predictions_loss: 0.1505 23/40 [================>.............] - ETA: 12s - loss: 22.6138 - logits_profile_predictions_loss: 22.4628 - logcount_predictions_loss: 0.1510 24/40 [=================>............] - ETA: 11s - loss: 22.5196 - logits_profile_predictions_loss: 22.3699 - logcount_predictions_loss: 0.1497 25/40 [=================>............] - ETA: 11s - loss: 22.5454 - logits_profile_predictions_loss: 22.3966 - logcount_predictions_loss: 0.1488 26/40 [==================>...........] - ETA: 10s - loss: 22.5774 - logits_profile_predictions_loss: 22.4301 - logcount_predictions_loss: 0.1473 27/40 [===================>..........] - ETA: 9s - loss: 22.5978 - logits_profile_predictions_loss: 22.4503 - logcount_predictions_loss: 0.1475  28/40 [====================>.........] - ETA: 8s - loss: 22.6116 - logits_profile_predictions_loss: 22.4646 - logcount_predictions_loss: 0.1470 29/40 [====================>.........] - ETA: 8s - loss: 22.5779 - logits_profile_predictions_loss: 22.4311 - logcount_predictions_loss: 0.1468 30/40 [=====================>........] - ETA: 7s - loss: 22.5905 - logits_profile_predictions_loss: 22.4452 - logcount_predictions_loss: 0.1453 31/40 [======================>.......] - ETA: 6s - loss: 22.5892 - logits_profile_predictions_loss: 22.4437 - logcount_predictions_loss: 0.1455 32/40 [=======================>......] - ETA: 5s - loss: 22.5396 - logits_profile_predictions_loss: 22.3959 - logcount_predictions_loss: 0.1437 33/40 [=======================>......] - ETA: 5s - loss: 22.5183 - logits_profile_predictions_loss: 22.3751 - logcount_predictions_loss: 0.1432 34/40 [========================>.....] - ETA: 4s - loss: 22.5146 - logits_profile_predictions_loss: 22.3711 - logcount_predictions_loss: 0.1435 35/40 [=========================>....] - ETA: 3s - loss: 22.5397 - logits_profile_predictions_loss: 22.3970 - logcount_predictions_loss: 0.1427 36/40 [==========================>...] - ETA: 3s - loss: 22.5626 - logits_profile_predictions_loss: 22.4191 - logcount_predictions_loss: 0.1435 37/40 [==========================>...] - ETA: 2s - loss: 22.5017 - logits_profile_predictions_loss: 22.3575 - logcount_predictions_loss: 0.1442 38/40 [===========================>..] - ETA: 1s - loss: 22.5050 - logits_profile_predictions_loss: 22.3611 - logcount_predictions_loss: 0.1438 39/40 [============================>.] - ETA: 0s - loss: 22.4974 - logits_profile_predictions_loss: 22.3539 - logcount_predictions_loss: 0.1435 40/40 [==============================] - ETA: 0s - loss: 22.5009 - logits_profile_predictions_loss: 22.3579 - logcount_predictions_loss: 0.1430 Epoch 2: val_loss improved from 23.95055 to 23.72713, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/chrombpnet.h5  40/40 [==============================] - 31s 783ms/step - loss: 22.5009 - logits_profile_predictions_loss: 22.3579 - logcount_predictions_loss: 0.1430 - val_loss: 23.7271 - val_logits_profile_predictions_loss: 23.6091 - val_logcount_predictions_loss: 0.1180 Epoch 3/50 1/40 [..............................] - ETA: 30s - loss: 24.2118 - logits_profile_predictions_loss: 24.0728 - logcount_predictions_loss: 0.1389 2/40 [>.............................] - ETA: 28s - loss: 22.5620 - logits_profile_predictions_loss: 22.4388 - logcount_predictions_loss: 0.1232 3/40 [=>............................] - ETA: 28s - loss: 23.2428 - logits_profile_predictions_loss: 23.1119 - logcount_predictions_loss: 0.1309 4/40 [==>...........................] - ETA: 27s - loss: 22.8335 - logits_profile_predictions_loss: 22.7003 - logcount_predictions_loss: 0.1331 5/40 [==>...........................] - ETA: 26s - loss: 22.6553 - logits_profile_predictions_loss: 22.5280 - logcount_predictions_loss: 0.1273 6/40 [===>..........................] - ETA: 25s - loss: 22.8233 - logits_profile_predictions_loss: 22.6942 - logcount_predictions_loss: 0.1291 7/40 [====>.........................] - ETA: 25s - loss: 22.8260 - logits_profile_predictions_loss: 22.6983 - logcount_predictions_loss: 0.1278 8/40 [=====>........................] - ETA: 24s - loss: 22.5478 - logits_profile_predictions_loss: 22.4169 - logcount_predictions_loss: 0.1310 9/40 [=====>........................] - ETA: 23s - loss: 22.4947 - logits_profile_predictions_loss: 22.3603 - logcount_predictions_loss: 0.1344 10/40 [======>.......................] - ETA: 22s - loss: 22.5525 - logits_profile_predictions_loss: 22.4195 - logcount_predictions_loss: 0.1329 11/40 [=======>......................] - ETA: 22s - loss: 22.6174 - logits_profile_predictions_loss: 22.4865 - logcount_predictions_loss: 0.1309 12/40 [========>.....................] - ETA: 21s - loss: 22.6235 - logits_profile_predictions_loss: 22.4942 - logcount_predictions_loss: 0.1293 13/40 [========>.....................] - ETA: 20s - loss: 22.6990 - logits_profile_predictions_loss: 22.5701 - logcount_predictions_loss: 0.1288 14/40 [=========>....................] - ETA: 19s - loss: 22.7715 - logits_profile_predictions_loss: 22.6430 - logcount_predictions_loss: 0.1285 15/40 [==========>...................] - ETA: 19s - loss: 22.6367 - logits_profile_predictions_loss: 22.5070 - logcount_predictions_loss: 0.1297 16/40 [===========>..................] - ETA: 18s - loss: 22.6614 - logits_profile_predictions_loss: 22.5323 - logcount_predictions_loss: 0.1292 17/40 [===========>..................] - ETA: 17s - loss: 22.6166 - logits_profile_predictions_loss: 22.4905 - logcount_predictions_loss: 0.1260 18/40 [============>.................] - ETA: 16s - loss: 22.5529 - logits_profile_predictions_loss: 22.4255 - logcount_predictions_loss: 0.1274 19/40 [=============>................] - ETA: 15s - loss: 22.5727 - logits_profile_predictions_loss: 22.4437 - logcount_predictions_loss: 0.1289 20/40 [==============>...............] - ETA: 15s - loss: 22.5809 - logits_profile_predictions_loss: 22.4506 - logcount_predictions_loss: 0.1302 21/40 [==============>...............] - ETA: 14s - loss: 22.6265 - logits_profile_predictions_loss: 22.4976 - logcount_predictions_loss: 0.1289 22/40 [===============>..............] - ETA: 13s - loss: 22.6060 - logits_profile_predictions_loss: 22.4763 - logcount_predictions_loss: 0.1297 23/40 [================>.............] - ETA: 12s - loss: 22.6202 - logits_profile_predictions_loss: 22.4911 - logcount_predictions_loss: 0.1291 24/40 [=================>............] - ETA: 12s - loss: 22.6427 - logits_profile_predictions_loss: 22.5137 - logcount_predictions_loss: 0.1290 25/40 [=================>............] - ETA: 11s - loss: 22.6125 - logits_profile_predictions_loss: 22.4862 - logcount_predictions_loss: 0.1264 26/40 [==================>...........] - ETA: 10s - loss: 22.6685 - logits_profile_predictions_loss: 22.5416 - logcount_predictions_loss: 0.1269 27/40 [===================>..........] - ETA: 9s - loss: 22.6275 - logits_profile_predictions_loss: 22.5019 - logcount_predictions_loss: 0.1256  28/40 [====================>.........] - ETA: 9s - loss: 22.6723 - logits_profile_predictions_loss: 22.5452 - logcount_predictions_loss: 0.1272 29/40 [====================>.........] - ETA: 8s - loss: 22.6836 - logits_profile_predictions_loss: 22.5584 - logcount_predictions_loss: 0.1252 30/40 [=====================>........] - ETA: 7s - loss: 22.6594 - logits_profile_predictions_loss: 22.5341 - logcount_predictions_loss: 0.1253 31/40 [======================>.......] - ETA: 6s - loss: 22.6266 - logits_profile_predictions_loss: 22.5004 - logcount_predictions_loss: 0.1262 32/40 [=======================>......] - ETA: 6s - loss: 22.6261 - logits_profile_predictions_loss: 22.5004 - logcount_predictions_loss: 0.1258 33/40 [=======================>......] - ETA: 5s - loss: 22.6041 - logits_profile_predictions_loss: 22.4787 - logcount_predictions_loss: 0.1253 34/40 [========================>.....] - ETA: 4s - loss: 22.5751 - logits_profile_predictions_loss: 22.4489 - logcount_predictions_loss: 0.1262 35/40 [=========================>....] - ETA: 3s - loss: 22.6086 - logits_profile_predictions_loss: 22.4823 - logcount_predictions_loss: 0.1263 36/40 [==========================>...] - ETA: 3s - loss: 22.6032 - logits_profile_predictions_loss: 22.4764 - logcount_predictions_loss: 0.1268 37/40 [==========================>...] - ETA: 2s - loss: 22.5848 - logits_profile_predictions_loss: 22.4578 - logcount_predictions_loss: 0.1270 38/40 [===========================>..] - ETA: 1s - loss: 22.5367 - logits_profile_predictions_loss: 22.4098 - logcount_predictions_loss: 0.1269 39/40 [============================>.] - ETA: 0s - loss: 22.5415 - logits_profile_predictions_loss: 22.4142 - logcount_predictions_loss: 0.1273 40/40 [==============================] - ETA: 0s - loss: 22.5343 - logits_profile_predictions_loss: 22.4063 - logcount_predictions_loss: 0.1280 Epoch 3: val_loss improved from 23.72713 to 23.68503, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/chrombpnet.h5  40/40 [==============================] - 31s 781ms/step - loss: 22.5343 - logits_profile_predictions_loss: 22.4063 - logcount_predictions_loss: 0.1280 - val_loss: 23.6850 - val_logits_profile_predictions_loss: 23.5577 - val_logcount_predictions_loss: 0.1273 Epoch 4/50 1/40 [..............................] - ETA: 30s - loss: 21.2714 - logits_profile_predictions_loss: 21.1383 - logcount_predictions_loss: 0.1331 2/40 [>.............................] - ETA: 28s - loss: 21.2936 - logits_profile_predictions_loss: 21.1805 - logcount_predictions_loss: 0.1131 3/40 [=>............................] - ETA: 28s - loss: 21.9189 - logits_profile_predictions_loss: 21.7899 - logcount_predictions_loss: 0.1290 4/40 [==>...........................] - ETA: 27s - loss: 22.0122 - logits_profile_predictions_loss: 21.8910 - logcount_predictions_loss: 0.1213 5/40 [==>...........................] - ETA: 26s - loss: 21.8430 - logits_profile_predictions_loss: 21.7261 - logcount_predictions_loss: 0.1169 6/40 [===>..........................] - ETA: 25s - loss: 21.8357 - logits_profile_predictions_loss: 21.7181 - logcount_predictions_loss: 0.1176 7/40 [====>.........................] - ETA: 25s - loss: 22.0115 - logits_profile_predictions_loss: 21.8911 - logcount_predictions_loss: 0.1204 8/40 [=====>........................] - ETA: 24s - loss: 22.1413 - logits_profile_predictions_loss: 22.0224 - logcount_predictions_loss: 0.1189 9/40 [=====>........................] - ETA: 23s - loss: 22.1400 - logits_profile_predictions_loss: 22.0158 - logcount_predictions_loss: 0.1242 10/40 [======>.......................] - ETA: 22s - loss: 22.4254 - logits_profile_predictions_loss: 22.3040 - logcount_predictions_loss: 0.1213 11/40 [=======>......................] - ETA: 22s - loss: 22.5157 - logits_profile_predictions_loss: 22.3957 - logcount_predictions_loss: 0.1200 12/40 [========>.....................] - ETA: 21s - loss: 22.5292 - logits_profile_predictions_loss: 22.4109 - logcount_predictions_loss: 0.1183 13/40 [========>.....................] - ETA: 20s - loss: 22.4437 - logits_profile_predictions_loss: 22.3194 - logcount_predictions_loss: 0.1242 14/40 [=========>....................] - ETA: 19s - loss: 22.5774 - logits_profile_predictions_loss: 22.4551 - logcount_predictions_loss: 0.1223 15/40 [==========>...................] - ETA: 19s - loss: 22.5142 - logits_profile_predictions_loss: 22.3932 - logcount_predictions_loss: 0.1210 16/40 [===========>..................] - ETA: 18s - loss: 22.5262 - logits_profile_predictions_loss: 22.4034 - logcount_predictions_loss: 0.1228 17/40 [===========>..................] - ETA: 17s - loss: 22.4985 - logits_profile_predictions_loss: 22.3744 - logcount_predictions_loss: 0.1241 18/40 [============>.................] - ETA: 16s - loss: 22.4530 - logits_profile_predictions_loss: 22.3275 - logcount_predictions_loss: 0.1255 19/40 [=============>................] - ETA: 15s - loss: 22.4881 - logits_profile_predictions_loss: 22.3602 - logcount_predictions_loss: 0.1278 20/40 [==============>...............] - ETA: 15s - loss: 22.4132 - logits_profile_predictions_loss: 22.2846 - logcount_predictions_loss: 0.1286 21/40 [==============>...............] - ETA: 14s - loss: 22.3898 - logits_profile_predictions_loss: 22.2615 - logcount_predictions_loss: 0.1283 22/40 [===============>..............] - ETA: 13s - loss: 22.3812 - logits_profile_predictions_loss: 22.2531 - logcount_predictions_loss: 0.1281 23/40 [================>.............] - ETA: 12s - loss: 22.4162 - logits_profile_predictions_loss: 22.2885 - logcount_predictions_loss: 0.1277 24/40 [=================>............] - ETA: 11s - loss: 22.3637 - logits_profile_predictions_loss: 22.2358 - logcount_predictions_loss: 0.1279 25/40 [=================>............] - ETA: 11s - loss: 22.3545 - logits_profile_predictions_loss: 22.2279 - logcount_predictions_loss: 0.1266 26/40 [==================>...........] - ETA: 10s - loss: 22.3588 - logits_profile_predictions_loss: 22.2319 - logcount_predictions_loss: 0.1269 27/40 [===================>..........] - ETA: 9s - loss: 22.3279 - logits_profile_predictions_loss: 22.2006 - logcount_predictions_loss: 0.1272  28/40 [====================>.........] - ETA: 8s - loss: 22.3400 - logits_profile_predictions_loss: 22.2121 - logcount_predictions_loss: 0.1279 29/40 [====================>.........] - ETA: 8s - loss: 22.3193 - logits_profile_predictions_loss: 22.1906 - logcount_predictions_loss: 0.1287 30/40 [=====================>........] - ETA: 7s - loss: 22.2967 - logits_profile_predictions_loss: 22.1664 - logcount_predictions_loss: 0.1304 31/40 [======================>.......] - ETA: 6s - loss: 22.2943 - logits_profile_predictions_loss: 22.1639 - logcount_predictions_loss: 0.1304 32/40 [=======================>......] - ETA: 5s - loss: 22.3454 - logits_profile_predictions_loss: 22.2143 - logcount_predictions_loss: 0.1311 33/40 [=======================>......] - ETA: 5s - loss: 22.3307 - logits_profile_predictions_loss: 22.2006 - logcount_predictions_loss: 0.1301 34/40 [========================>.....] - ETA: 4s - loss: 22.3495 - logits_profile_predictions_loss: 22.2188 - logcount_predictions_loss: 0.1307 35/40 [=========================>....] - ETA: 3s - loss: 22.3778 - logits_profile_predictions_loss: 22.2469 - logcount_predictions_loss: 0.1309 36/40 [==========================>...] - ETA: 3s - loss: 22.3814 - logits_profile_predictions_loss: 22.2506 - logcount_predictions_loss: 0.1307 37/40 [==========================>...] - ETA: 2s - loss: 22.3822 - logits_profile_predictions_loss: 22.2515 - logcount_predictions_loss: 0.1307 38/40 [===========================>..] - ETA: 1s - loss: 22.4045 - logits_profile_predictions_loss: 22.2747 - logcount_predictions_loss: 0.1297 39/40 [============================>.] - ETA: 0s - loss: 22.3670 - logits_profile_predictions_loss: 22.2369 - logcount_predictions_loss: 0.1301 40/40 [==============================] - ETA: 0s - loss: 22.3257 - logits_profile_predictions_loss: 22.1961 - logcount_predictions_loss: 0.1296 Epoch 4: val_loss did not improve from 23.68503  40/40 [==============================] - 31s 775ms/step - loss: 22.3257 - logits_profile_predictions_loss: 22.1961 - logcount_predictions_loss: 0.1296 - val_loss: 23.8413 - val_logits_profile_predictions_loss: 23.7272 - val_logcount_predictions_loss: 0.1141 Epoch 5/50 1/40 [..............................] - ETA: 30s - loss: 22.6076 - logits_profile_predictions_loss: 22.5165 - logcount_predictions_loss: 0.0911 2/40 [>.............................] - ETA: 28s - loss: 22.5004 - logits_profile_predictions_loss: 22.3965 - logcount_predictions_loss: 0.1039 3/40 [=>............................] - ETA: 28s - loss: 22.6704 - logits_profile_predictions_loss: 22.5417 - logcount_predictions_loss: 0.1287 4/40 [==>...........................] - ETA: 27s - loss: 22.5278 - logits_profile_predictions_loss: 22.3981 - logcount_predictions_loss: 0.1298 5/40 [==>...........................] - ETA: 26s - loss: 22.1251 - logits_profile_predictions_loss: 21.9899 - logcount_predictions_loss: 0.1351 6/40 [===>..........................] - ETA: 25s - loss: 22.4293 - logits_profile_predictions_loss: 22.2939 - logcount_predictions_loss: 0.1353 7/40 [====>.........................] - ETA: 25s - loss: 22.7998 - logits_profile_predictions_loss: 22.6666 - logcount_predictions_loss: 0.1332 8/40 [=====>........................] - ETA: 24s - loss: 22.8042 - logits_profile_predictions_loss: 22.6736 - logcount_predictions_loss: 0.1306 9/40 [=====>........................] - ETA: 23s - loss: 22.6405 - logits_profile_predictions_loss: 22.5114 - logcount_predictions_loss: 0.1291 10/40 [======>.......................] - ETA: 22s - loss: 22.6714 - logits_profile_predictions_loss: 22.5434 - logcount_predictions_loss: 0.1280 11/40 [=======>......................] - ETA: 22s - loss: 22.5465 - logits_profile_predictions_loss: 22.4203 - logcount_predictions_loss: 0.1262 12/40 [========>.....................] - ETA: 21s - loss: 22.7392 - logits_profile_predictions_loss: 22.6148 - logcount_predictions_loss: 0.1244 13/40 [========>.....................] - ETA: 20s - loss: 22.6270 - logits_profile_predictions_loss: 22.5029 - logcount_predictions_loss: 0.1241 14/40 [=========>....................] - ETA: 19s - loss: 22.6686 - logits_profile_predictions_loss: 22.5432 - logcount_predictions_loss: 0.1254 15/40 [==========>...................] - ETA: 19s - loss: 22.5708 - logits_profile_predictions_loss: 22.4423 - logcount_predictions_loss: 0.1285 16/40 [===========>..................] - ETA: 18s - loss: 22.5879 - logits_profile_predictions_loss: 22.4597 - logcount_predictions_loss: 0.1282 17/40 [===========>..................] - ETA: 17s - loss: 22.6124 - logits_profile_predictions_loss: 22.4827 - logcount_predictions_loss: 0.1297 18/40 [============>.................] - ETA: 16s - loss: 22.5325 - logits_profile_predictions_loss: 22.4032 - logcount_predictions_loss: 0.1293 19/40 [=============>................] - ETA: 15s - loss: 22.4674 - logits_profile_predictions_loss: 22.3351 - logcount_predictions_loss: 0.1323 20/40 [==============>...............] - ETA: 15s - loss: 22.4356 - logits_profile_predictions_loss: 22.3030 - logcount_predictions_loss: 0.1326 21/40 [==============>...............] - ETA: 14s - loss: 22.4368 - logits_profile_predictions_loss: 22.3046 - logcount_predictions_loss: 0.1322 22/40 [===============>..............] - ETA: 13s - loss: 22.3704 - logits_profile_predictions_loss: 22.2393 - logcount_predictions_loss: 0.1311 23/40 [================>.............] - ETA: 12s - loss: 22.3135 - logits_profile_predictions_loss: 22.1818 - logcount_predictions_loss: 0.1317 24/40 [=================>............] - ETA: 12s - loss: 22.2755 - logits_profile_predictions_loss: 22.1451 - logcount_predictions_loss: 0.1304 25/40 [=================>............] - ETA: 11s - loss: 22.3057 - logits_profile_predictions_loss: 22.1756 - logcount_predictions_loss: 0.1301 26/40 [==================>...........] - ETA: 10s - loss: 22.3836 - logits_profile_predictions_loss: 22.2527 - logcount_predictions_loss: 0.1309 27/40 [===================>..........] - ETA: 9s - loss: 22.3153 - logits_profile_predictions_loss: 22.1856 - logcount_predictions_loss: 0.1297  28/40 [====================>.........] - ETA: 9s - loss: 22.3208 - logits_profile_predictions_loss: 22.1894 - logcount_predictions_loss: 0.1314 29/40 [====================>.........] - ETA: 8s - loss: 22.3099 - logits_profile_predictions_loss: 22.1793 - logcount_predictions_loss: 0.1306 30/40 [=====================>........] - ETA: 7s - loss: 22.3210 - logits_profile_predictions_loss: 22.1897 - logcount_predictions_loss: 0.1314 31/40 [======================>.......] - ETA: 6s - loss: 22.3441 - logits_profile_predictions_loss: 22.2129 - logcount_predictions_loss: 0.1312 32/40 [=======================>......] - ETA: 6s - loss: 22.3901 - logits_profile_predictions_loss: 22.2580 - logcount_predictions_loss: 0.1321 33/40 [=======================>......] - ETA: 5s - loss: 22.4111 - logits_profile_predictions_loss: 22.2787 - logcount_predictions_loss: 0.1324 34/40 [========================>.....] - ETA: 4s - loss: 22.4275 - logits_profile_predictions_loss: 22.2955 - logcount_predictions_loss: 0.1321 35/40 [=========================>....] - ETA: 3s - loss: 22.4241 - logits_profile_predictions_loss: 22.2905 - logcount_predictions_loss: 0.1336 36/40 [==========================>...] - ETA: 3s - loss: 22.3957 - logits_profile_predictions_loss: 22.2623 - logcount_predictions_loss: 0.1334 37/40 [==========================>...] - ETA: 2s - loss: 22.3970 - logits_profile_predictions_loss: 22.2633 - logcount_predictions_loss: 0.1336 38/40 [===========================>..] - ETA: 1s - loss: 22.3516 - logits_profile_predictions_loss: 22.2191 - logcount_predictions_loss: 0.1325 39/40 [============================>.] - ETA: 0s - loss: 22.3518 - logits_profile_predictions_loss: 22.2188 - logcount_predictions_loss: 0.1330 40/40 [==============================] - ETA: 0s - loss: 22.2945 - logits_profile_predictions_loss: 22.1612 - logcount_predictions_loss: 0.1333 Epoch 5: val_loss improved from 23.68503 to 23.56034, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/chrombpnet.h5  40/40 [==============================] - 34s 857ms/step - loss: 22.2945 - logits_profile_predictions_loss: 22.1612 - logcount_predictions_loss: 0.1333 - val_loss: 23.5603 - val_logits_profile_predictions_loss: 23.4113 - val_logcount_predictions_loss: 0.1490 Epoch 6/50 1/40 [..............................] - ETA: 16s - loss: 25.5252 - logits_profile_predictions_loss: 25.3066 - logcount_predictions_loss: 0.2186 2/40 [>.............................] - ETA: 28s - loss: 22.6599 - logits_profile_predictions_loss: 22.5173 - logcount_predictions_loss: 0.1426 3/40 [=>............................] - ETA: 28s - loss: 22.5796 - logits_profile_predictions_loss: 22.4336 - logcount_predictions_loss: 0.1460 4/40 [==>...........................] - ETA: 27s - loss: 21.8745 - logits_profile_predictions_loss: 21.7318 - logcount_predictions_loss: 0.1427 5/40 [==>...........................] - ETA: 26s - loss: 21.7362 - logits_profile_predictions_loss: 21.5893 - logcount_predictions_loss: 0.1469 6/40 [===>..........................] - ETA: 25s - loss: 21.5766 - logits_profile_predictions_loss: 21.4374 - logcount_predictions_loss: 0.1391 7/40 [====>.........................] - ETA: 25s - loss: 21.8302 - logits_profile_predictions_loss: 21.6952 - logcount_predictions_loss: 0.1350 8/40 [=====>........................] - ETA: 24s - loss: 21.6568 - logits_profile_predictions_loss: 21.5195 - logcount_predictions_loss: 0.1373 9/40 [=====>........................] - ETA: 23s - loss: 21.8229 - logits_profile_predictions_loss: 21.6846 - logcount_predictions_loss: 0.1382 10/40 [======>.......................] - ETA: 22s - loss: 21.8888 - logits_profile_predictions_loss: 21.7533 - logcount_predictions_loss: 0.1355 11/40 [=======>......................] - ETA: 22s - loss: 21.9269 - logits_profile_predictions_loss: 21.7906 - logcount_predictions_loss: 0.1364 12/40 [========>.....................] - ETA: 21s - loss: 21.9953 - logits_profile_predictions_loss: 21.8597 - logcount_predictions_loss: 0.1356 13/40 [========>.....................] - ETA: 20s - loss: 21.8533 - logits_profile_predictions_loss: 21.7127 - logcount_predictions_loss: 0.1406 14/40 [=========>....................] - ETA: 19s - loss: 21.7312 - logits_profile_predictions_loss: 21.5935 - logcount_predictions_loss: 0.1377 15/40 [==========>...................] - ETA: 19s - loss: 21.8581 - logits_profile_predictions_loss: 21.7198 - logcount_predictions_loss: 0.1383 16/40 [===========>..................] - ETA: 18s - loss: 21.8930 - logits_profile_predictions_loss: 21.7548 - logcount_predictions_loss: 0.1382 17/40 [===========>..................] - ETA: 17s - loss: 21.9686 - logits_profile_predictions_loss: 21.8306 - logcount_predictions_loss: 0.1380 18/40 [============>.................] - ETA: 16s - loss: 21.9755 - logits_profile_predictions_loss: 21.8396 - logcount_predictions_loss: 0.1359 19/40 [=============>................] - ETA: 15s - loss: 21.8930 - logits_profile_predictions_loss: 21.7573 - logcount_predictions_loss: 0.1357 20/40 [==============>...............] - ETA: 15s - loss: 21.8198 - logits_profile_predictions_loss: 21.6836 - logcount_predictions_loss: 0.1362 21/40 [==============>...............] - ETA: 14s - loss: 21.8026 - logits_profile_predictions_loss: 21.6687 - logcount_predictions_loss: 0.1339 22/40 [===============>..............] - ETA: 13s - loss: 21.8316 - logits_profile_predictions_loss: 21.6959 - logcount_predictions_loss: 0.1356 23/40 [================>.............] - ETA: 12s - loss: 21.8649 - logits_profile_predictions_loss: 21.7303 - logcount_predictions_loss: 0.1346 24/40 [=================>............] - ETA: 12s - loss: 21.9250 - logits_profile_predictions_loss: 21.7899 - logcount_predictions_loss: 0.1351 25/40 [=================>............] - ETA: 11s - loss: 21.8716 - logits_profile_predictions_loss: 21.7382 - logcount_predictions_loss: 0.1334 26/40 [==================>...........] - ETA: 10s - loss: 21.8910 - logits_profile_predictions_loss: 21.7571 - logcount_predictions_loss: 0.1338 27/40 [===================>..........] - ETA: 9s - loss: 22.0095 - logits_profile_predictions_loss: 21.8734 - logcount_predictions_loss: 0.1360  28/40 [====================>.........] - ETA: 9s - loss: 22.0486 - logits_profile_predictions_loss: 21.9139 - logcount_predictions_loss: 0.1347 29/40 [====================>.........] - ETA: 8s - loss: 22.0569 - logits_profile_predictions_loss: 21.9206 - logcount_predictions_loss: 0.1363 30/40 [=====================>........] - ETA: 7s - loss: 22.0436 - logits_profile_predictions_loss: 21.9069 - logcount_predictions_loss: 0.1367 31/40 [======================>.......] - ETA: 6s - loss: 22.0058 - logits_profile_predictions_loss: 21.8686 - logcount_predictions_loss: 0.1371 32/40 [=======================>......] - ETA: 6s - loss: 22.0303 - logits_profile_predictions_loss: 21.8928 - logcount_predictions_loss: 0.1375 33/40 [=======================>......] - ETA: 5s - loss: 22.0243 - logits_profile_predictions_loss: 21.8869 - logcount_predictions_loss: 0.1374 34/40 [========================>.....] - ETA: 4s - loss: 22.0523 - logits_profile_predictions_loss: 21.9150 - logcount_predictions_loss: 0.1373 35/40 [=========================>....] - ETA: 3s - loss: 22.0857 - logits_profile_predictions_loss: 21.9490 - logcount_predictions_loss: 0.1367 36/40 [==========================>...] - ETA: 3s - loss: 22.0698 - logits_profile_predictions_loss: 21.9340 - logcount_predictions_loss: 0.1358 37/40 [==========================>...] - ETA: 2s - loss: 22.0767 - logits_profile_predictions_loss: 21.9418 - logcount_predictions_loss: 0.1349 38/40 [===========================>..] - ETA: 1s - loss: 22.0621 - logits_profile_predictions_loss: 21.9267 - logcount_predictions_loss: 0.1354 39/40 [============================>.] - ETA: 0s - loss: 22.0809 - logits_profile_predictions_loss: 21.9461 - logcount_predictions_loss: 0.1348 40/40 [==============================] - ETA: 0s - loss: 22.0591 - logits_profile_predictions_loss: 21.9256 - logcount_predictions_loss: 0.1335 Epoch 6: val_loss did not improve from 23.56034  40/40 [==============================] - 31s 784ms/step - loss: 22.0591 - logits_profile_predictions_loss: 21.9256 - logcount_predictions_loss: 0.1335 - val_loss: 23.6066 - val_logits_profile_predictions_loss: 23.4948 - val_logcount_predictions_loss: 0.1118 Epoch 7/50 1/40 [..............................] - ETA: 30s - loss: 23.2291 - logits_profile_predictions_loss: 23.1402 - logcount_predictions_loss: 0.0889 2/40 [>.............................] - ETA: 28s - loss: 23.0423 - logits_profile_predictions_loss: 22.9222 - logcount_predictions_loss: 0.1201 3/40 [=>............................] - ETA: 28s - loss: 21.9242 - logits_profile_predictions_loss: 21.7950 - logcount_predictions_loss: 0.1292 4/40 [==>...........................] - ETA: 27s - loss: 21.6763 - logits_profile_predictions_loss: 21.5616 - logcount_predictions_loss: 0.1147 5/40 [==>...........................] - ETA: 26s - loss: 21.6075 - logits_profile_predictions_loss: 21.4927 - logcount_predictions_loss: 0.1148 6/40 [===>..........................] - ETA: 25s - loss: 21.7035 - logits_profile_predictions_loss: 21.5842 - logcount_predictions_loss: 0.1193 7/40 [====>.........................] - ETA: 25s - loss: 21.7981 - logits_profile_predictions_loss: 21.6763 - logcount_predictions_loss: 0.1217 8/40 [=====>........................] - ETA: 24s - loss: 22.1779 - logits_profile_predictions_loss: 22.0513 - logcount_predictions_loss: 0.1265 9/40 [=====>........................] - ETA: 23s - loss: 22.2024 - logits_profile_predictions_loss: 22.0735 - logcount_predictions_loss: 0.1290 10/40 [======>.......................] - ETA: 22s - loss: 22.2540 - logits_profile_predictions_loss: 22.1239 - logcount_predictions_loss: 0.1301 11/40 [=======>......................] - ETA: 21s - loss: 22.1590 - logits_profile_predictions_loss: 22.0285 - logcount_predictions_loss: 0.1304 12/40 [========>.....................] - ETA: 20s - loss: 22.1585 - logits_profile_predictions_loss: 22.0302 - logcount_predictions_loss: 0.1283 13/40 [========>.....................] - ETA: 19s - loss: 22.0943 - logits_profile_predictions_loss: 21.9691 - logcount_predictions_loss: 0.1252 14/40 [=========>....................] - ETA: 19s - loss: 21.9793 - logits_profile_predictions_loss: 21.8514 - logcount_predictions_loss: 0.1280 15/40 [==========>...................] - ETA: 18s - loss: 21.9661 - logits_profile_predictions_loss: 21.8387 - logcount_predictions_loss: 0.1275 16/40 [===========>..................] - ETA: 17s - loss: 21.9711 - logits_profile_predictions_loss: 21.8407 - logcount_predictions_loss: 0.1305 17/40 [===========>..................] - ETA: 17s - loss: 22.0792 - logits_profile_predictions_loss: 21.9483 - logcount_predictions_loss: 0.1309 18/40 [============>.................] - ETA: 16s - loss: 21.9893 - logits_profile_predictions_loss: 21.8584 - logcount_predictions_loss: 0.1309 19/40 [=============>................] - ETA: 15s - loss: 21.9494 - logits_profile_predictions_loss: 21.8192 - logcount_predictions_loss: 0.1302 20/40 [==============>...............] - ETA: 14s - loss: 21.9000 - logits_profile_predictions_loss: 21.7694 - logcount_predictions_loss: 0.1306 21/40 [==============>...............] - ETA: 14s - loss: 21.9572 - logits_profile_predictions_loss: 21.8251 - logcount_predictions_loss: 0.1321 22/40 [===============>..............] - ETA: 13s - loss: 21.9924 - logits_profile_predictions_loss: 21.8570 - logcount_predictions_loss: 0.1355 23/40 [================>.............] - ETA: 12s - loss: 21.9732 - logits_profile_predictions_loss: 21.8356 - logcount_predictions_loss: 0.1376 24/40 [=================>............] - ETA: 11s - loss: 21.9553 - logits_profile_predictions_loss: 21.8186 - logcount_predictions_loss: 0.1368 25/40 [=================>............] - ETA: 11s - loss: 22.0164 - logits_profile_predictions_loss: 21.8791 - logcount_predictions_loss: 0.1373 26/40 [==================>...........] - ETA: 10s - loss: 22.1030 - logits_profile_predictions_loss: 21.9677 - logcount_predictions_loss: 0.1353 27/40 [===================>..........] - ETA: 9s - loss: 22.0516 - logits_profile_predictions_loss: 21.9155 - logcount_predictions_loss: 0.1360  28/40 [====================>.........] - ETA: 8s - loss: 22.0051 - logits_profile_predictions_loss: 21.8669 - logcount_predictions_loss: 0.1382 29/40 [====================>.........] - ETA: 8s - loss: 22.0498 - logits_profile_predictions_loss: 21.9126 - logcount_predictions_loss: 0.1372 30/40 [=====================>........] - ETA: 7s - loss: 22.0228 - logits_profile_predictions_loss: 21.8863 - logcount_predictions_loss: 0.1365 31/40 [======================>.......] - ETA: 6s - loss: 22.1137 - logits_profile_predictions_loss: 21.9763 - logcount_predictions_loss: 0.1373 32/40 [=======================>......] - ETA: 6s - loss: 22.1223 - logits_profile_predictions_loss: 21.9845 - logcount_predictions_loss: 0.1379 33/40 [=======================>......] - ETA: 5s - loss: 22.1186 - logits_profile_predictions_loss: 21.9812 - logcount_predictions_loss: 0.1375 34/40 [========================>.....] - ETA: 4s - loss: 22.0850 - logits_profile_predictions_loss: 21.9485 - logcount_predictions_loss: 0.1365 35/40 [=========================>....] - ETA: 3s - loss: 22.1290 - logits_profile_predictions_loss: 21.9933 - logcount_predictions_loss: 0.1357 36/40 [==========================>...] - ETA: 3s - loss: 22.1075 - logits_profile_predictions_loss: 21.9717 - logcount_predictions_loss: 0.1358 37/40 [==========================>...] - ETA: 2s - loss: 22.1037 - logits_profile_predictions_loss: 21.9688 - logcount_predictions_loss: 0.1349 38/40 [===========================>..] - ETA: 1s - loss: 22.0729 - logits_profile_predictions_loss: 21.9378 - logcount_predictions_loss: 0.1351 39/40 [============================>.] - ETA: 0s - loss: 22.0721 - logits_profile_predictions_loss: 21.9376 - logcount_predictions_loss: 0.1345 40/40 [==============================] - ETA: 0s - loss: 22.0613 - logits_profile_predictions_loss: 21.9269 - logcount_predictions_loss: 0.1343 Epoch 7: val_loss improved from 23.56034 to 23.51575, saving model to /oak/stanford/groups/akundaje/projects/neuro-variants/chrombpnet_models/encode_2024/K562_bias/encode_2024.LV.adipocyte.In/fold_0/models/chrombpnet.h5  40/40 [==============================] - 33s 822ms/step - loss: 22.0613 - logits_profile_predictions_loss: 21.9269 - logcount_predictions_loss: 0.1343 - val_loss: 23.5157 - val_logits_profile_predictions_loss: 23.4040 - val_logcount_predictions_loss: 0.1118 Epoch 8/50 1/40 [..............................] - ETA: 29s - loss: 21.2823 - logits_profile_predictions_loss: 21.1770 - logcount_predictions_loss: 0.1053 2/40 [>.............................] - ETA: 28s - loss: 22.4925 - logits_profile_predictions_loss: 22.3742 - logcount_predictions_loss: 0.1183 3/40 [=>............................] - ETA: 28s - loss: 22.3758 - logits_profile_predictions_loss: 22.2513 - logcount_predictions_loss: 0.1245 4/40 [==>...........................] - ETA: 27s - loss: 22.3726 - logits_profile_predictions_loss: 22.2395 - logcount_predictions_loss: 0.1331 5/40 [==>...........................] - ETA: 26s - loss: 22.3150 - logits_profile_predictions_loss: 22.1824 - logcount_predictions_loss: 0.1326 6/40 [===>..........................] - ETA: 25s - loss: 22.2885 - logits_profile_predictions_loss: 22.1525 - logcount_predictions_loss: 0.1360 7/40 [====>.........................] - ETA: 25s - loss: 22.6168 - logits_profile_predictions_loss: 22.4778 - logcount_predictions_loss: 0.1390 8/40 [=====>........................] - ETA: 24s - loss: 22.5468 - logits_profile_predictions_loss: 22.4158 - logcount_predictions_loss: 0.1310 9/40 [=====>........................] - ETA: 23s - loss: 22.6850 - logits_profile_predictions_loss: 22.5536 - logcount_predictions_loss: 0.1313 10/40 [======>.......................] - ETA: 21s - loss: 22.6284 - logits_profile_predictions_loss: 22.5001 - logcount_predictions_loss: 0.1282 11/40 [=======>......................] - ETA: 21s - loss: 22.5519 - logits_profile_predictions_loss: 22.4234 - logcount_predictions_loss: 0.1285 12/40 [========>.....................] - ETA: 20s - loss: 22.4207 - logits_profile_predictions_loss: 22.2873 - logcount_predictions_loss: 0.1335 13/40 [========>.....................] - ETA: 19s - loss: 22.4261 - logits_profile_predictions_loss: 22.2936 - logcount_predictions_loss: 0.1325 14/40 [=========>....................] - ETA: 19s - loss: 22.3282 - logits_profile_predictions_loss: 22.1950 - logcount_predictions_loss: 0.1332 15/40 [==========>...................] - ETA: 18s - loss: 22.2617 - logits_profile_predictions_loss: 22.1316 - logcount_predictions_loss: 0.1301 16/40 [===========>..................] - ETA: 17s - loss: 22.3103 - logits_profile_predictions_loss: 22.1804 - logcount_predictions_loss: 0.1299 17/40 [===========>..................] - ETA: 17s - loss: 22.4154 - logits_profile_predictions_loss: 22.2840 - logcount_predictions_loss: 0.1314 18/40 [============>.................] - ETA: 16s - loss: 22.3996 - logits_profile_predictions_loss: 22.2667 - logcount_predictions_loss: 0.1329 19/40 [=============>................] - ETA: 15s - loss: 22.3679 - logits_profile_predictions_loss: 22.2336 - logcount_predictions_loss: 0.1343 20/40 [==============>...............] - ETA: 14s - loss: 22.3482 - logits_profile_predictions_loss: 22.2148 - logcount_predictions_loss: 0.1334 21/40 [==============>...............] - ETA: 14s - loss: 22.2474 - logits_profile_predictions_loss: 22.1137 - logcount_predictions_loss: 0.1337 22/40 [===============>..............] - ETA: 13s - loss: 22.2466 - logits_profile_predictions_loss: 22.1130 - logcount_predictions_loss: 0.1336 23/40 [================>.............] - ETA: 12s - loss: 22.2834 - logits_profile_predictions_loss: 22.1478 - logcount_predictions_loss: 0.1357 24/40 [=================>............] - ETA: 11s - loss: 22.3071 - logits_profile_predictions_loss: 22.1705 - logcount_predictions_loss: 0.1366 25/40 [=================>............] - ETA: 11s - loss: 22.3001 - logits_profile_predictions_loss: 22.1635 - logcount_predictions_loss: 0.1366 26/40 [==================>...........] - ETA: 10s - loss: 22.2446 - logits_profile_predictions_loss: 22.1085 - logcount_predictions_loss: 0.1361 27/40 [===================>..........] - ETA: 9s - loss: 22.2149 - logits_profile_predictions_loss: 22.0790 - logcount_predictions_loss: 0.1359  28/40 [====================>.........] - ETA: 8s - loss: 22.2083 - logits_profile_predictions_loss: 22.0711 - logcount_predictions_loss: 0.1372 29/40 [====================>.........] - ETA: 8s - loss: 22.2181 - logits_profile_predictions_loss: 22.0820 - logcount_predictions_loss: 0.1361 30/40 [=====================>........] - ETA: 7s - loss: 22.2642 - logits_profile_predictions_loss: 22.1277 - logcount_predictions_loss: 0.1365 31/40 [======================>.......] - ETA: 6s - loss: 22.2928 - logits_profile_predictions_loss: 22.1556 - logcount_predictions_loss: 0.1371 32/40 [=======================>......] - ETA: 6s - loss: 22.1827 - logits_profile_predictions_loss: 22.0449 - logcount_predictions_loss: 0.1378 33/40 [=======================>......] - ETA: 5s - loss: 22.1424 - logits_profile_predictions_loss: 22.0054 - logcount_predictions_loss: 0.1370 34/40 [========================>.....] - ETA: 4s - loss: 22.1490 - logits_profile_predictions_loss: 22.0120 - logcount_predictions_loss: 0.1370 35/40 [=========================>....] - ETA: 3s - loss: 22.0976 - logits_profile_predictions_loss: 21.9612 - logcount_predictions_loss: 0.1364 36/40 [==========================>...] - ETA: 3s - loss: 22.1070 - logits_profile_predictions_loss: 21.9715 - logcount_predictions_loss: 0.1354 37/40 [==========================>...] - ETA: 2s - loss: 22.0836 - logits_profile_predictions_loss: 21.9483 - logcount_predictions_loss: 0.1354 38/40 [===========================>..] - ETA: 1s - loss: 22.0559 - logits_profile_predictions_loss: 21.9213 - logcount_predictions_loss: 0.1346 39/40 [============================>.] - ETA: 0s - loss: 22.0235 - logits_profile_predictions_loss: 21.8897 - logcount_predictions_loss: 0.1339 40/40 [==============================] - ETA: 0s - loss: 21.9723 - logits_profile_predictions_loss: 21.8385 - logcount_predictions_loss: 0.1337 Epoch 8: val_loss did not improve from 23.51575  40/40 [==============================] - 31s 775ms/step - loss: 21.9723 - logits_profile_predictions_loss: 21.8385 - logcount_predictions_loss: 0.1337 - val_loss: 23.6427 - val_logits_profile_predictions_loss: 23.5307 - val_logcount_predictions_loss: 0.1120 Epoch 9/50 1/40 [..............................] - ETA: 30s - loss: 21.6570 - logits_profile_predictions_loss: 21.5286 - logcount_predictions_loss: 0.1284 2/40 [>.............................] - ETA: 28s - loss: 21.7259 - logits_profile_predictions_loss: 21.5970 - logcount_predictions_loss: 0.1289 3/40 [=>............................] - ETA: 28s - loss: 21.1095 - logits_profile_predictions_loss: 20.9878 - logcount_predictions_loss: 0.1217 4/40 [==>...........................] - ETA: 27s - loss: 21.1154 - logits_profile_predictions_loss: 20.9975 - logcount_predictions_loss: 0.1179 5/40 [==>...........................] - ETA: 26s - loss: 21.3951 - logits_profile_predictions_loss: 21.2704 - logcount_predictions_loss: 0.1247 6/40 [===>..........................] - ETA: 25s - loss: 21.2293 - logits_profile_predictions_loss: 21.1052 - logcount_predictions_loss: 0.1241 7/40 [====>.........................] - ETA: 25s - loss: 21.5251 - logits_profile_predictions_loss: 21.3996 - logcount_predictions_loss: 0.1255 8/40 [=====>........................] - ETA: 24s - loss: 21.4989 - logits_profile_predictions_loss: 21.3745 - logcount_predictions_loss: 0.1244 9/40 [=====>........................] - ETA: 23s - loss: 21.3972 - logits_profile_predictions_loss: 21.2766 - logcount_predictions_loss: 0.1206 10/40 [======>.......................] - ETA: 22s - loss: 21.5936 - logits_profile_predictions_loss: 21.4728 - logcount_predictions_loss: 0.1207 11/40 [=======>......................] - ETA: 22s - loss: 21.5800 - logits_profile_predictions_loss: 21.4615 - logcount_predictions_loss: 0.1186 12/40 [========>.....................] - ETA: 21s - loss: 21.5013 - logits_profile_predictions_loss: 21.3839 - logcount_predictions_loss: 0.1174 13/40 [========>.....................] - ETA: 20s - loss: 21.5306 - logits_profile_predictions_loss: 21.4120 - logcount_predictions_loss: 0.1187 14/40 [=========>....................] - ETA: 19s - loss: 21.5202 - logits_profile_predictions_loss: 21.4003 - logcount_predictions_loss: 0.1199 15/40 [==========>...................] - ETA: 19s - loss: 21.5248 - logits_profile_predictions_loss: 21.4052 - logcount_predictions_loss: 0.1197 16/40 [===========>..................] - ETA: 18s - loss: 21.5858 - logits_profile_predictions_loss: 21.4652 - logcount_predictions_loss: 0.1206 17/40 [===========>..................] - ETA: 17s - loss: 21.5970 - logits_profile_predictions_loss: 21.4767 - logcount_predictions_loss: 0.1204 18/40 [============>.................] - ETA: 16s - loss: 21.6782 - logits_profile_predictions_loss: 21.5556 - logcount_predictions_loss: 0.1226 19/40 [=============>................] - ETA: 15s - loss: 21.5911 - logits_profile_predictions_loss: 21.4654 - logcount_predictions_loss: 0.1257 20/40 [==============>...............] - ETA: 15s - loss: 21.6378 - logits_profile_predictions_loss: 21.5134 - logcount_predictions_loss: 0.1244 21/40 [==============>...............] - ETA: 14s - loss: 21.7378 - logits_profile_predictions_loss: 21.6131 - logcount_predictions_loss: 0.1247 22/40 [===============>..............] - ETA: 13s - loss: 21.7943 - logits_profile_predictions_loss: 21.6703 - logcount_predictions_loss: 0.1241 23/40 [================>.............] - ETA: 12s - loss: 21.7249 - logits_profile_predictions_loss: 21.6011 - logcount_predictions_loss: 0.1238 24/40 [=================>............] - ETA: 12s - loss: 21.7111 - logits_profile_predictions_loss: 21.5877 - logcount_predictions_loss: 0.1234 25/40 [=================>............] - ETA: 11s - loss: 21.6590 - logits_profile_predictions_loss: 21.5347 - logcount_predictions_loss: 0.1243 26/40 [==================>...........] - ETA: 10s - loss: 21.6834 - logits_profile_predictions_loss: 21.5585 - logcount_predictions_loss: 0.1249 27/40 [===================>..........] - ETA: 9s - loss: 21.7155 - logits_profile_predictions_loss: 21.5912 - logcount_predictions_loss: 0.1243  28/40 [====================>.........] - ETA: 9s - loss: 21.6783 - logits_profile_predictions_loss: 21.5541 - logcount_predictions_loss: 0.1242 29/40 [====================>.........] - ETA: 8s - loss: 21.6822 - logits_profile_predictions_loss: 21.5565 - logcount_predictions_loss: 0.1257 30/40 [=====================>........] - ETA: 7s - loss: 21.6914 - logits_profile_predictions_loss: 21.5657 - logcount_predictions_loss: 0.1256 31/40 [======================>.......] - ETA: 6s - loss: 21.6558 - logits_profile_predictions_loss: 21.5300 - logcount_predictions_loss: 0.1259 32/40 [=======================>......] - ETA: 5s - loss: 21.6731 - logits_profile_predictions_loss: 21.5473 - logcount_predictions_loss: 0.1258 33/40 [=======================>......] - ETA: 5s - loss: 21.6784 - logits_profile_predictions_loss: 21.5531 - logcount_predictions_loss: 0.1253 34/40 [========================>.....] - ETA: 4s - loss: 21.6827 - logits_profile_predictions_loss: 21.5580 - logcount_predictions_loss: 0.1247 35/40 [=========================>....] - ETA: 3s - loss: 21.6855 - logits_profile_predictions_loss: 21.5599 - logcount_predictions_loss: 0.1256 36/40 [==========================>...] - ETA: 3s - loss: 21.7331 - logits_profile_predictions_loss: 21.6068 - logcount_predictions_loss: 0.1263 37/40 [==========================>...] - ETA: 2s - loss: 21.7130 - logits_profile_predictions_loss: 21.5857 - logcount_predictions_loss: 0.1273 38/40 [===========================>..] - ETA: 1s - loss: 21.7744 - logits_profile_predictions_loss: 21.6474 - logcount_predictions_loss: 0.1270 39/40 [============================>.] - ETA: 0s - loss: 21.7414 - logits_profile_predictions_loss: 21.6143 - logcount_predictions_loss: 0.1271 40/40 [==============================] - ETA: 0s - loss: 21.7242 - logits_profile_predictions_loss: 21.5967 - logcount_predictions_loss: 0.1275 Epoch 9: val_loss did not improve from 23.51575  40/40 [==============================] - 31s 775ms/step - loss: 21.7242 - logits_profile_predictions_loss: 21.5967 - logcount_predictions_loss: 0.1275 - val_loss: 23.5955 - val_logits_profile_predictions_loss: 23.4804 - val_logcount_predictions_loss: 0.1151 Epoch 10/50 1/40 [..............................] - ETA: 29s - loss: 21.1765 - logits_profile_predictions_loss: 21.0675 - logcount_predictions_loss: 0.1090 2/40 [>.............................] - ETA: 28s - loss: 21.0298 - logits_profile_predictions_loss: 20.9316 - logcount_predictions_loss: 0.0982 3/40 [=>............................] - ETA: 28s - loss: 21.3237 - logits_profile_predictions_loss: 21.2147 - logcount_predictions_loss: 0.1090 4/40 [==>...........................] - ETA: 27s - loss: 21.5973 - logits_profile_predictions_loss: 21.4927 - logcount_predictions_loss: 0.1046 5/40 [==>...........................] - ETA: 26s - loss: 21.5833 - logits_profile_predictions_loss: 21.4718 - logcount_predictions_loss: 0.1115 6/40 [===>..........................] - ETA: 25s - loss: 21.5758 - logits_profile_predictions_loss: 21.4685 - logcount_predictions_loss: 0.1073 7/40 [====>.........................] - ETA: 25s - loss: 21.5242 - logits_profile_predictions_loss: 21.4145 - logcount_predictions_loss: 0.1096 8/40 [=====>........................] - ETA: 24s - loss: 21.6363 - logits_profile_predictions_loss: 21.5260 - logcount_predictions_loss: 0.1103 9/40 [=====>........................] - ETA: 23s - loss: 21.7192 - logits_profile_predictions_loss: 21.6082 - logcount_predictions_loss: 0.1110 10/40 [======>.......................] - ETA: 22s - loss: 21.6328 - logits_profile_predictions_loss: 21.5213 - logcount_predictions_loss: 0.1115 11/40 [=======>......................] - ETA: 22s - loss: 21.6794 - logits_profile_predictions_loss: 21.5675 - logcount_predictions_loss: 0.1119 12/40 [========>.....................] - ETA: 21s - loss: 21.7892 - logits_profile_predictions_loss: 21.6737 - logcount_predictions_loss: 0.1155 13/40 [========>.....................] - ETA: 20s - loss: 21.8122 - logits_profile_predictions_loss: 21.6947 - logcount_predictions_loss: 0.1175 14/40 [=========>....................] - ETA: 19s - loss: 21.7127 - logits_profile_predictions_loss: 21.5916 - logcount_predictions_loss: 0.1211 15/40 [==========>...................] - ETA: 18s - loss: 21.7644 - logits_profile_predictions_loss: 21.6413 - logcount_predictions_loss: 0.1231 16/40 [===========>..................] - ETA: 17s - loss: 21.7290 - logits_profile_predictions_loss: 21.6069 - logcount_predictions_loss: 0.1221 17/40 [===========>..................] - ETA: 17s - loss: 21.6827 - logits_profile_predictions_loss: 21.5599 - logcount_predictions_loss: 0.1228 18/40 [============>.................] - ETA: 16s - loss: 21.6746 - logits_profile_predictions_loss: 21.5532 - logcount_predictions_loss: 0.1214 19/40 [=============>................] - ETA: 15s - loss: 21.7549 - logits_profile_predictions_loss: 21.6349 - logcount_predictions_loss: 0.1200 20/40 [==============>...............] - ETA: 14s - loss: 21.8591 - logits_profile_predictions_loss: 21.7370 - logcount_predictions_loss: 0.1222 21/40 [==============>...............] - ETA: 14s - loss: 21.8341 - logits_profile_predictions_loss: 21.7096 - logcount_predictions_loss: 0.1245 22/40 [===============>..............] - ETA: 13s - loss: 21.9416 - logits_profile_predictions_loss: 21.8170 - logcount_predictions_loss: 0.1246 23/40 [================>.............] - ETA: 12s - loss: 21.8667 - logits_profile_predictions_loss: 21.7410 - logcount_predictions_loss: 0.1257 24/40 [=================>............] - ETA: 11s - loss: 21.7318 - logits_profile_predictions_loss: 21.6074 - logcount_predictions_loss: 0.1244 25/40 [=================>............] - ETA: 11s - loss: 21.6776 - logits_profile_predictions_loss: 21.5546 - logcount_predictions_loss: 0.1231 26/40 [==================>...........] - ETA: 10s - loss: 21.6510 - logits_profile_predictions_loss: 21.5267 - logcount_predictions_loss: 0.1243 27/40 [===================>..........] - ETA: 9s - loss: 21.6377 - logits_profile_predictions_loss: 21.5130 - logcount_predictions_loss: 0.1247  28/40 [====================>.........] - ETA: 8s - loss: 21.6524 - logits_profile_predictions_loss: 21.5267 - logcount_predictions_loss: 0.1257 29/40 [====================>.........] - ETA: 8s - loss: 21.7290 - logits_profile_predictions_loss: 21.6014 - logcount_predictions_loss: 0.1276 30/40 [=====================>........] - ETA: 7s - loss: 21.6480 - logits_profile_predictions_loss: 21.5192 - logcount_predictions_loss: 0.1287 31/40 [======================>.......] - ETA: 6s - loss: 21.6809 - logits_profile_predictions_loss: 21.5527 - logcount_predictions_loss: 0.1281 32/40 [=======================>......] - ETA: 6s - loss: 21.7077 - logits_profile_predictions_loss: 21.5791 - logcount_predictions_loss: 0.1285 33/40 [=======================>......] - ETA: 5s - loss: 21.6376 - logits_profile_predictions_loss: 21.5077 - logcount_predictions_loss: 0.1299 34/40 [========================>.....] - ETA: 4s - loss: 21.5938 - logits_profile_predictions_loss: 21.4630 - logcount_predictions_loss: 0.1308 35/40 [=========================>....] - ETA: 3s - loss: 21.5582 - logits_profile_predictions_loss: 21.4284 - logcount_predictions_loss: 0.1298 36/40 [==========================>...] - ETA: 3s - loss: 21.5586 - logits_profile_predictions_loss: 21.4292 - logcount_predictions_loss: 0.1294 37/40 [==========================>...] - ETA: 2s - loss: 21.5697 - logits_profile_predictions_loss: 21.4404 - logcount_predictions_loss: 0.1293 38/40 [===========================>..] - ETA: 1s - loss: 21.5671 - logits_profile_predictions_loss: 21.4374 - logcount_predictions_loss: 0.1297 39/40 [============================>.] - ETA: 0s - loss: 21.5193 - logits_profile_predictions_loss: 21.3892 - logcount_predictions_loss: 0.1301 40/40 [==============================] - ETA: 0s - loss: 21.5240 - logits_profile_predictions_loss: 21.3944 - logcount_predictions_loss: 0.1296 Epoch 10: val_loss did not improve from 23.51575  40/40 [==============================] - 32s 789ms/step - loss: 21.5240 - logits_profile_predictions_loss: 21.3944 - logcount_predictions_loss: 0.1296 - val_loss: 23.6869 - val_logits_profile_predictions_loss: 23.5682 - val_logcount_predictions_loss: 0.1187 Epoch 11/50 1/40 [..............................] - ETA: 30s - loss: 21.3626 - logits_profile_predictions_loss: 21.2066 - logcount_predictions_loss: 0.1560 2/40 [>.............................] - ETA: 28s - loss: 20.7746 - logits_profile_predictions_loss: 20.6128 - logcount_predictions_loss: 0.1618 3/40 [=>............................] - ETA: 28s - loss: 20.8883 - logits_profile_predictions_loss: 20.7453 - logcount_predictions_loss: 0.1430 4/40 [==>...........................] - ETA: 27s - loss: 21.0222 - logits_profile_predictions_loss: 20.8854 - logcount_predictions_loss: 0.1368 5/40 [==>...........................] - ETA: 26s - loss: 21.0337 - logits_profile_predictions_loss: 20.9053 - logcount_predictions_loss: 0.1284 6/40 [===>..........................] - ETA: 25s - loss: 21.1375 - logits_profile_predictions_loss: 21.0077 - logcount_predictions_loss: 0.1298 7/40 [====>.........................] - ETA: 25s - loss: 21.3462 - logits_profile_predictions_loss: 21.2191 - logcount_predictions_loss: 0.1271 8/40 [=====>........................] - ETA: 24s - loss: 21.2975 - logits_profile_predictions_loss: 21.1720 - logcount_predictions_loss: 0.1255 9/40 [=====>........................] - ETA: 23s - loss: 21.3605 - logits_profile_predictions_loss: 21.2329 - logcount_predictions_loss: 0.1277 10/40 [======>.......................] - ETA: 22s - loss: 21.3230 - logits_profile_predictions_loss: 21.1944 - logcount_predictions_loss: 0.1286 11/40 [=======>......................] - ETA: 22s - loss: 21.3788 - logits_profile_predictions_loss: 21.2477 - logcount_predictions_loss: 0.1311 12/40 [========>.....................] - ETA: 21s - loss: 21.3224 - logits_profile_predictions_loss: 21.1928 - logcount_predictions_loss: 0.1296 13/40 [========>.....................] - ETA: 20s - loss: 21.3619 - logits_profile_predictions_loss: 21.2304 - logcount_predictions_loss: 0.1315 14/40 [=========>....................] - ETA: 19s - loss: 21.3656 - logits_profile_predictions_loss: 21.2321 - logcount_predictions_loss: 0.1335 15/40 [==========>...................] - ETA: 19s - loss: 21.3625 - logits_profile_predictions_loss: 21.2304 - logcount_predictions_loss: 0.1321 16/40 [===========>..................] - ETA: 18s - loss: 21.5291 - logits_profile_predictions_loss: 21.3975 - logcount_predictions_loss: 0.1316 17/40 [===========>..................] - ETA: 17s - loss: 21.5308 - logits_profile_predictions_loss: 21.3969 - logcount_predictions_loss: 0.1339 18/40 [============>.................] - ETA: 16s - loss: 21.4536 - logits_profile_predictions_loss: 21.3193 - logcount_predictions_loss: 0.1343 19/40 [=============>................] - ETA: 15s - loss: 21.3725 - logits_profile_predictions_loss: 21.2382 - logcount_predictions_loss: 0.1342 20/40 [==============>...............] - ETA: 15s - loss: 21.2507 - logits_profile_predictions_loss: 21.1160 - logcount_predictions_loss: 0.1346 21/40 [==============>...............] - ETA: 14s - loss: 21.3060 - logits_profile_predictions_loss: 21.1716 - logcount_predictions_loss: 0.1343 22/40 [===============>..............] - ETA: 13s - loss: 21.3301 - logits_profile_predictions_loss: 21.1967 - logcount_predictions_loss: 0.1334 23/40 [================>.............] - ETA: 12s - loss: 21.3214 - logits_profile_predictions_loss: 21.1878 - logcount_predictions_loss: 0.1336 24/40 [=================>............] - ETA: 12s - loss: 21.3878 - logits_profile_predictions_loss: 21.2538 - logcount_predictions_loss: 0.1341 25/40 [=================>............] - ETA: 11s - loss: 21.3974 - logits_profile_predictions_loss: 21.2647 - logcount_predictions_loss: 0.1327 26/40 [==================>...........] - ETA: 10s - loss: 21.3995 - logits_profile_predictions_loss: 21.2662 - logcount_predictions_loss: 0.1333 27/40 [===================>..........] - ETA: 9s - loss: 21.3808 - logits_profile_predictions_loss: 21.2478 - logcount_predictions_loss: 0.1330  28/40 [====================>.........] - ETA: 9s - loss: 21.4256 - logits_profile_predictions_loss: 21.2913 - logcount_predictions_loss: 0.1343 29/40 [====================>.........] - ETA: 8s - loss: 21.4162 - logits_profile_predictions_loss: 21.2822 - logcount_predictions_loss: 0.1340 30/40 [=====================>........] - ETA: 7s - loss: 21.4428 - logits_profile_predictions_loss: 21.3079 - logcount_predictions_loss: 0.1349 31/40 [======================>.......] - ETA: 6s - loss: 21.4339 - logits_profile_predictions_loss: 21.3001 - logcount_predictions_loss: 0.1338 32/40 [=======================>......] - ETA: 6s - loss: 21.4427 - logits_profile_predictions_loss: 21.3090 - logcount_predictions_loss: 0.1337 33/40 [=======================>......] - ETA: 5s - loss: 21.4149 - logits_profile_predictions_loss: 21.2812 - logcount_predictions_loss: 0.1337 34/40 [========================>.....] - ETA: 4s - loss: 21.4508 - logits_profile_predictions_loss: 21.3174 - logcount_predictions_loss: 0.1334 35/40 [=========================>....] - ETA: 3s - loss: 21.4906 - logits_profile_predictions_loss: 21.3570 - logcount_predictions_loss: 0.1336 36/40 [==========================>...] - ETA: 3s - loss: 21.4656 - logits_profile_predictions_loss: 21.3311 - logcount_predictions_loss: 0.1345 37/40 [==========================>...] - ETA: 2s - loss: 21.4624 - logits_profile_predictions_loss: 21.3282 - logcount_predictions_loss: 0.1342 38/40 [===========================>..] - ETA: 1s - loss: 21.4735 - logits_profile_predictions_loss: 21.3409 - logcount_predictions_loss: 0.1326 39/40 [============================>.] - ETA: 0s - loss: 21.4577 - logits_profile_predictions_loss: 21.3237 - logcount_predictions_loss: 0.1341 40/40 [==============================] - ETA: 0s - loss: 21.4404 - logits_profile_predictions_loss: 21.3073 - logcount_predictions_loss: 0.1330 Epoch 11: val_loss did not improve from 23.51575  40/40 [==============================] - 31s 775ms/step - loss: 21.4404 - logits_profile_predictions_loss: 21.3073 - logcount_predictions_loss: 0.1330 - val_loss: 23.7446 - val_logits_profile_predictions_loss: 23.6338 - val_logcount_predictions_loss: 0.1108 Epoch 12/50 1/40 [..............................] - ETA: 30s - loss: 21.0577 - logits_profile_predictions_loss: 20.9473 - logcount_predictions_loss: 0.1104 2/40 [>.............................] - ETA: 28s - loss: 21.5708 - logits_profile_predictions_loss: 21.4456 - logcount_predictions_loss: 0.1252 3/40 [=>............................] - ETA: 28s - loss: 21.6336 - logits_profile_predictions_loss: 21.5214 - logcount_predictions_loss: 0.1121 4/40 [==>...........................] - ETA: 27s - loss: 21.6063 - logits_profile_predictions_loss: 21.4934 - logcount_predictions_loss: 0.1130 5/40 [==>...........................] - ETA: 26s - loss: 21.3366 - logits_profile_predictions_loss: 21.2250 - logcount_predictions_loss: 0.1116 6/40 [===>..........................] - ETA: 25s - loss: 21.2650 - logits_profile_predictions_loss: 21.1478 - logcount_predictions_loss: 0.1172 7/40 [====>.........................] - ETA: 25s - loss: 21.2844 - logits_profile_predictions_loss: 21.1669 - logcount_predictions_loss: 0.1175 8/40 [=====>........................] - ETA: 24s - loss: 21.3579 - logits_profile_predictions_loss: 21.2423 - logcount_predictions_loss: 0.1156 9/40 [=====>........................] - ETA: 23s - loss: 21.2495 - logits_profile_predictions_loss: 21.1310 - logcount_predictions_loss: 0.1185 10/40 [======>.......................] - ETA: 21s - loss: 21.1952 - logits_profile_predictions_loss: 21.0773 - logcount_predictions_loss: 0.1179 11/40 [=======>......................] - ETA: 21s - loss: 21.3681 - logits_profile_predictions_loss: 21.2483 - logcount_predictions_loss: 0.1199 12/40 [========>.....................] - ETA: 20s - loss: 21.3653 - logits_profile_predictions_loss: 21.2451 - logcount_predictions_loss: 0.1202 13/40 [========>.....................] - ETA: 19s - loss: 21.3069 - logits_profile_predictions_loss: 21.1892 - logcount_predictions_loss: 0.1176 14/40 [=========>....................] - ETA: 19s - loss: 21.2994 - logits_profile_predictions_loss: 21.1836 - logcount_predictions_loss: 0.1158 15/40 [==========>...................] - ETA: 18s - loss: 21.2124 - logits_profile_predictions_loss: 21.0977 - logcount_predictions_loss: 0.1147 16/40 [===========>..................] - ETA: 17s - loss: 21.1741 - logits_profile_predictions_loss: 21.0612 - logcount_predictions_loss: 0.1128 17/40 [===========>..................] - ETA: 17s - loss: 21.2050 - logits_profile_predictions_loss: 21.0904 - logcount_predictions_loss: 0.1146 18/40 [============>.................] - ETA: 16s - loss: 21.2666 - logits_profile_predictions_loss: 21.1508 - logcount_predictions_loss: 0.1158 19/40 [=============>................] - ETA: 15s - loss: 21.1777 - logits_profile_predictions_loss: 21.0622 - logcount_predictions_loss: 0.1154 20/40 [==============>...............] - ETA: 14s - loss: 21.2383 - logits_profile_predictions_loss: 21.1207 - logcount_predictions_loss: 0.1176 21/40 [==============>...............] - ETA: 14s - loss: 21.2865 - logits_profile_predictions_loss: 21.1655 - logcount_predictions_loss: 0.1210 22/40 [===============>..............] - ETA: 13s - loss: 21.3873 - logits_profile_predictions_loss: 21.2660 - logcount_predictions_loss: 0.1213 23/40 [================>.............] - ETA: 12s - loss: 21.3071 - logits_profile_predictions_loss: 21.1853 - logcount_predictions_loss: 0.1219 24/40 [=================>............] - ETA: 11s - loss: 21.3164 - logits_profile_predictions_loss: 21.1941 - logcount_predictions_loss: 0.1223 25/40 [=================>............] - ETA: 11s - loss: 21.3849 - logits_profile_predictions_loss: 21.2626 - logcount_predictions_loss: 0.1223 26/40 [==================>...........] - ETA: 10s - loss: 21.3507 - logits_profile_predictions_loss: 21.2282 - logcount_predictions_loss: 0.1225 27/40 [===================>..........] - ETA: 9s - loss: 21.3560 - logits_profile_predictions_loss: 21.2340 - logcount_predictions_loss: 0.1220  28/40 [====================>.........] - ETA: 8s - loss: 21.2841 - logits_profile_predictions_loss: 21.1617 - logcount_predictions_loss: 0.1224 29/40 [====================>.........] - ETA: 8s - loss: 21.2351 - logits_profile_predictions_loss: 21.1123 - logcount_predictions_loss: 0.1228 30/40 [=====================>........] - ETA: 7s - loss: 21.2116 - logits_profile_predictions_loss: 21.0904 - logcount_predictions_loss: 0.1212 31/40 [======================>.......] - ETA: 6s - loss: 21.2680 - logits_profile_predictions_loss: 21.1464 - logcount_predictions_loss: 0.1216 32/40 [=======================>......] - ETA: 6s - loss: 21.2820 - logits_profile_predictions_loss: 21.1600 - logcount_predictions_loss: 0.1220 33/40 [=======================>......] - ETA: 5s - loss: 21.2649 - logits_profile_predictions_loss: 21.1432 - logcount_predictions_loss: 0.1217 34/40 [========================>.....] - ETA: 4s - loss: 21.2507 - logits_profile_predictions_loss: 21.1283 - logcount_predictions_loss: 0.1224 35/40 [=========================>....] - ETA: 3s - loss: 21.2524 - logits_profile_predictions_loss: 21.1303 - logcount_predictions_loss: 0.1221 36/40 [==========================>...] - ETA: 3s - loss: 21.2434 - logits_profile_predictions_loss: 21.1221 - logcount_predictions_loss: 0.1213 37/40 [==========================>...] - ETA: 2s - loss: 21.2888 - logits_profile_predictions_loss: 21.1672 - logcount_predictions_loss: 0.1216 38/40 [===========================>..] - ETA: 1s - loss: 21.2951 - logits_profile_predictions_loss: 21.1728 - logcount_predictions_loss: 0.1223 39/40 [============================>.] - ETA: 0s - loss: 21.2198 - logits_profile_predictions_loss: 21.0965 - logcount_predictions_loss: 0.1233 40/40 [==============================] - ETA: 0s - loss: 21.1991 - logits_profile_predictions_loss: 21.0747 - logcount_predictions_loss: 0.1245 Epoch 12: val_loss did not improve from 23.51575 Restoring model weights from the end of the best epoch: 7.  40/40 [==============================] - 31s 776ms/step - loss: 21.1991 - logits_profile_predictions_loss: 21.0747 - logcount_predictions_loss: 0.1245 - val_loss: 23.8772 - val_logits_profile_predictions_loss: 23.7389 - val_logcount_predictions_loss: 0.1383 Epoch 12: early stopping save model save model without bias got the model loading peaks... got split:test for bed regions:(628, 10) 0/10 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 1/10 [==>...........................] - ETA: 1s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step inserting motif: tn5_1 GCACAGTACAGAGCTG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/step 1/10 [==>...........................] - ETA: 0s 2/10 [=====>........................] - ETA: 1s 3/10 [========>.....................] - ETA: 1s 4/10 [===========>..................] - ETA: 1s 5/10 [==============>...............] - ETA: 1s 6/10 [=================>............] - ETA: 0s 7/10 [====================>.........] - ETA: 0s 8/10 [=======================>......] - ETA: 0s 9/10 [==========================>...] - ETA: 0s 10/10 [==============================] - ETA: 0s 10/10 [==============================] - 2s 230ms/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 : (3123, 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 3123 Done 100 examples of 3123 Done 200 examples of 3123 Done 300 examples of 3123 Done 400 examples of 3123 Done 500 examples of 3123 Done 600 examples of 3123 Done 700 examples of 3123 Done 800 examples of 3123 Done 900 examples of 3123 Done 1000 examples of 3123 Done 1100 examples of 3123 Done 1200 examples of 3123 Done 1300 examples of 3123 Done 1400 examples of 3123 Done 1500 examples of 3123 Done 1600 examples of 3123 Done 1700 examples of 3123 Done 1800 examples of 3123 Done 1900 examples of 3123 Done 2000 examples of 3123 Done 2100 examples of 3123 Done 2200 examples of 3123 Done 2300 examples of 3123 Done 2400 examples of 3123 Done 2500 examples of 3123 Done 2600 examples of 3123 Done 2700 examples of 3123 Done 2800 examples of 3123 Done 2900 examples of 3123 Done 3000 examples of 3123 Done 3100 examples of 3123 Saving 'profile' scores