ATAC-seq ATAC_PE Sat Mar 26 03:23:05 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla P100-PCIE... On | 00000000:83:00.0 Off | 0 | | N/A 33C P0 27W / 250W | 0MiB / 16384MiB | 0% E. Process | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ No logfile supplied - creating one 2022-03-26_03-23-05: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/helpers/hyperparameters/find_chrombpnet_hyperparams.py \ --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/bigWigs/ENCSR802GEV.bigWig \ --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/downloads/peaks.bed.gz \ --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//negatives_data/negatives_with_summit.bed \ --outlier_threshold=0.99 \ --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ --negative_sampling_ratio=0.1 \ --inputlen=2114 \ --outputlen=1000 \ --max_jitter=500 \ --filters=512 \ --n_dilation_layers=8 \ --bias_model_path=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/k562_atac_bias_new.h5 \ --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/ 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: 43549 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 43549 Number of peaks input: 11694 Number of peaks filtered because the input/output is on the edge: 0 Number of peaks being used: 11694 Number of non peaks input: 43549 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 43549 Number of non peaks input: 11693 Number of non peaks filtered because the input/output is on the edge: 0 Number of non peaks being used: 11693 Number of peaks after removing outliers: 42840 Number of nonpeaks after removing outliers: 40053 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_pref (None, 1000, 1) 0 prof_out_precrop[0][0] __________________________________________________________________________________________________ gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] __________________________________________________________________________________________________ logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla __________________________________________________________________________________________________ logcount_predictions (Dense) (None, 1) 129 gap[0][0] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 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ETA: 0s 1200/1252 [===========================>..] - ETA: 0s 1204/1252 [===========================>..] - ETA: 0s 1208/1252 [===========================>..] - ETA: 0s 1212/1252 [============================>.] - ETA: 0s 1216/1252 [============================>.] - ETA: 0s 1220/1252 [============================>.] - ETA: 0s 1224/1252 [============================>.] - ETA: 0s 1228/1252 [============================>.] - ETA: 0s 1232/1252 [============================>.] - ETA: 0s 1236/1252 [============================>.] - ETA: 0s 1240/1252 [============================>.] - ETA: 0s 1244/1252 [============================>.] - ETA: 0s 1248/1252 [============================>.] - ETA: 0s 1252/1252 [==============================] - ETA: 0s 1252/1252 [==============================] - 24s 13ms/step 2022-03-26_03-25-33: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/train.py \ --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/bigWigs/ENCSR802GEV.bigWig \ --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.peaks.bed \ --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ --params=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet_model_params.tsv \ --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet \ --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ --batch_size=64 \ --architecture_from_file=/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py \ --trackables logcount_predictions_loss loss logits_profile_predictions_loss val_logcount_predictions_loss val_loss val_logits_profile_predictions_loss {'counts_loss_weight': '4.5', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json', 'negative_sampling_ratio': '0.1'} got the model loading peaks... got split:train for bed regions:(38405, 10) loading nonpeaks... got split:train for bed regions:(35761, 10) loading peaks... got split:valid for bed regions:(4435, 10) loading nonpeaks... got split:valid for bed regions:(4292, 10) Epoch 1/50 1/661 [..............................] - ETA: 1:36:17 - loss: 196.5234 - logits_profile_predictions_loss: 181.9294 - logcount_predictions_loss: 3.2431 2/661 [..............................] - ETA: 9:54 - loss: 417.2137 - logits_profile_predictions_loss: 180.5810 - logcount_predictions_loss: 52.5850  3/661 [..............................] - ETA: 9:52 - loss: 438.9721 - logits_profile_predictions_loss: 177.8197 - logcount_predictions_loss: 58.0339 4/661 [..............................] - ETA: 9:51 - loss: 431.2855 - logits_profile_predictions_loss: 176.3477 - logcount_predictions_loss: 56.6529 5/661 [..............................] - ETA: 9:51 - loss: 417.6365 - logits_profile_predictions_loss: 175.2960 - logcount_predictions_loss: 53.8535 6/661 [..............................] - ETA: 9:50 - loss: 403.6357 - logits_profile_predictions_loss: 174.6138 - logcount_predictions_loss: 50.8938 7/661 [..............................] - ETA: 9:49 - loss: 390.3658 - logits_profile_predictions_loss: 173.9020 - logcount_predictions_loss: 48.1031 8/661 [..............................] - ETA: 9:48 - loss: 378.5330 - logits_profile_predictions_loss: 173.4411 - logcount_predictions_loss: 45.5760 9/661 [..............................] - ETA: 9:47 - loss: 367.8878 - logits_profile_predictions_loss: 173.0140 - logcount_predictions_loss: 43.3053 10/661 [..............................] - ETA: 9:46 - loss: 358.5022 - logits_profile_predictions_loss: 172.7715 - logcount_predictions_loss: 41.2735 11/661 [..............................] - ETA: 9:45 - loss: 349.8309 - logits_profile_predictions_loss: 172.3354 - logcount_predictions_loss: 39.4435 12/661 [..............................] - ETA: 9:45 - loss: 342.1047 - logits_profile_predictions_loss: 172.0213 - logcount_predictions_loss: 37.7963 13/661 [..............................] - ETA: 9:44 - loss: 335.2084 - logits_profile_predictions_loss: 171.8227 - logcount_predictions_loss: 36.3079 14/661 [..............................] - ETA: 9:43 - loss: 328.8691 - logits_profile_predictions_loss: 171.5778 - logcount_predictions_loss: 34.9536 15/661 [..............................] - ETA: 9:42 - loss: 323.0429 - logits_profile_predictions_loss: 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[============================>.] - ETA: 4s - loss: 183.4178 - logits_profile_predictions_loss: 161.9704 - logcount_predictions_loss: 4.7661 657/661 [============================>.] - ETA: 3s - loss: 183.3996 - logits_profile_predictions_loss: 161.9677 - logcount_predictions_loss: 4.7626 658/661 [============================>.] - ETA: 2s - loss: 183.3815 - logits_profile_predictions_loss: 161.9650 - logcount_predictions_loss: 4.7592 659/661 [============================>.] - ETA: 1s - loss: 183.3634 - logits_profile_predictions_loss: 161.9624 - logcount_predictions_loss: 4.7558 660/661 [============================>.] - ETA: 0s - loss: 183.3454 - logits_profile_predictions_loss: 161.9598 - logcount_predictions_loss: 4.7524 661/661 [==============================] - ETA: 0s - loss: 183.3275 - logits_profile_predictions_loss: 161.9573 - logcount_predictions_loss: 4.7489 661/661 [==============================] - 628s 938ms/step - loss: 183.3096 - logits_profile_predictions_loss: 161.9547 - logcount_predictions_loss: 4.7455 - val_loss: 178.9183 - val_logits_profile_predictions_loss: 175.7802 - val_logcount_predictions_loss: 0.6974 Epoch 00001: val_loss improved from inf to 178.91830, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/chrombpnet.h5 Epoch 2/50 1/661 [..............................] - ETA: 10:06 - loss: 163.1870 - logits_profile_predictions_loss: 159.0449 - logcount_predictions_loss: 0.9205 2/661 [..............................] - ETA: 9:52 - loss: 162.3191 - logits_profile_predictions_loss: 158.7564 - logcount_predictions_loss: 0.7917  3/661 [..............................] - ETA: 9:52 - loss: 163.4353 - logits_profile_predictions_loss: 160.0512 - logcount_predictions_loss: 0.7520 4/661 [..............................] - ETA: 9:52 - loss: 163.6244 - logits_profile_predictions_loss: 160.3484 - logcount_predictions_loss: 0.7280 5/661 [..............................] - ETA: 9:51 - loss: 163.1418 - 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[..............................] - ETA: 9:44 - loss: 160.8420 - logits_profile_predictions_loss: 157.7252 - logcount_predictions_loss: 0.6926 13/661 [..............................] - ETA: 9:43 - loss: 160.6385 - logits_profile_predictions_loss: 157.5217 - logcount_predictions_loss: 0.6926 14/661 [..............................] - ETA: 9:42 - loss: 160.5031 - logits_profile_predictions_loss: 157.3828 - logcount_predictions_loss: 0.6934 15/661 [..............................] - ETA: 9:41 - loss: 160.3306 - logits_profile_predictions_loss: 157.2039 - logcount_predictions_loss: 0.6948 16/661 [..............................] - ETA: 9:41 - loss: 160.2715 - logits_profile_predictions_loss: 157.1389 - logcount_predictions_loss: 0.6961 17/661 [..............................] - ETA: 9:40 - loss: 160.1956 - logits_profile_predictions_loss: 157.0556 - logcount_predictions_loss: 0.6978 18/661 [..............................] - ETA: 9:39 - loss: 160.0612 - logits_profile_predictions_loss: 156.9188 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[>.............................] - ETA: 9:26 - loss: 159.3974 - logits_profile_predictions_loss: 156.2186 - logcount_predictions_loss: 0.7064 33/661 [>.............................] - ETA: 9:25 - loss: 159.3888 - logits_profile_predictions_loss: 156.2098 - logcount_predictions_loss: 0.7064 34/661 [>.............................] - ETA: 9:24 - loss: 159.3778 - logits_profile_predictions_loss: 156.1981 - logcount_predictions_loss: 0.7066 35/661 [>.............................] - ETA: 9:24 - loss: 159.3729 - logits_profile_predictions_loss: 156.1927 - logcount_predictions_loss: 0.7067 36/661 [>.............................] - ETA: 9:23 - loss: 159.3767 - logits_profile_predictions_loss: 156.1964 - logcount_predictions_loss: 0.7067 37/661 [>.............................] - ETA: 9:22 - loss: 159.3742 - logits_profile_predictions_loss: 156.1946 - logcount_predictions_loss: 0.7066 38/661 [>.............................] - ETA: 9:21 - loss: 159.3703 - logits_profile_predictions_loss: 156.1922 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[=>............................] - ETA: 9:08 - loss: 159.6727 - logits_profile_predictions_loss: 156.5150 - logcount_predictions_loss: 0.7017 53/661 [=>............................] - ETA: 9:07 - loss: 159.7007 - logits_profile_predictions_loss: 156.5438 - logcount_predictions_loss: 0.7016 54/661 [=>............................] - ETA: 9:06 - loss: 159.7293 - logits_profile_predictions_loss: 156.5733 - logcount_predictions_loss: 0.7013 55/661 [=>............................] - ETA: 9:06 - loss: 159.7566 - logits_profile_predictions_loss: 156.6013 - logcount_predictions_loss: 0.7012 56/661 [=>............................] - ETA: 9:05 - loss: 159.7858 - logits_profile_predictions_loss: 156.6307 - logcount_predictions_loss: 0.7011 57/661 [=>............................] - ETA: 9:04 - loss: 159.8126 - logits_profile_predictions_loss: 156.6574 - logcount_predictions_loss: 0.7011 58/661 [=>............................] - ETA: 9:03 - loss: 159.8352 - logits_profile_predictions_loss: 156.6800 - logcount_predictions_loss: 0.7012 59/661 [=>............................] - ETA: 9:02 - loss: 159.8589 - logits_profile_predictions_loss: 156.7034 - logcount_predictions_loss: 0.7012 60/661 [=>............................] - ETA: 9:01 - loss: 159.8836 - logits_profile_predictions_loss: 156.7275 - logcount_predictions_loss: 0.7013 61/661 [=>............................] - ETA: 9:00 - loss: 159.9068 - logits_profile_predictions_loss: 156.7504 - logcount_predictions_loss: 0.7014 62/661 [=>............................] - ETA: 8:59 - loss: 159.9234 - logits_profile_predictions_loss: 156.7669 - logcount_predictions_loss: 0.7015 63/661 [=>............................] - ETA: 8:58 - loss: 159.9417 - logits_profile_predictions_loss: 156.7853 - logcount_predictions_loss: 0.7014 64/661 [=>............................] - ETA: 8:57 - loss: 159.9604 - logits_profile_predictions_loss: 156.8039 - logcount_predictions_loss: 0.7014 65/661 [=>............................] - ETA: 8:56 - loss: 159.9773 - 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logcount_predictions_loss: 0.7226 661/661 [==============================] - ETA: 0s - loss: 161.8139 - logits_profile_predictions_loss: 158.5625 - logcount_predictions_loss: 0.7225 661/661 [==============================] - 618s 935ms/step - loss: 161.8132 - logits_profile_predictions_loss: 158.5618 - logcount_predictions_loss: 0.7225 - val_loss: 176.8721 - val_logits_profile_predictions_loss: 174.1773 - val_logcount_predictions_loss: 0.5988 Epoch 00002: val_loss improved from 178.91830 to 176.87207, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/chrombpnet.h5 Epoch 3/50 1/661 [..............................] - ETA: 10:08 - loss: 167.7504 - logits_profile_predictions_loss: 164.2991 - logcount_predictions_loss: 0.7670 2/661 [..............................] - ETA: 9:53 - loss: 168.3536 - logits_profile_predictions_loss: 165.1184 - logcount_predictions_loss: 0.7189  3/661 [..............................] - ETA: 9:52 - loss: 166.5739 - logits_profile_predictions_loss: 163.4356 - logcount_predictions_loss: 0.6974 4/661 [..............................] - ETA: 9:51 - loss: 165.4688 - logits_profile_predictions_loss: 162.3380 - logcount_predictions_loss: 0.6957 5/661 [..............................] - ETA: 9:50 - loss: 164.3279 - logits_profile_predictions_loss: 161.1942 - logcount_predictions_loss: 0.6964 6/661 [..............................] - ETA: 9:49 - loss: 163.3746 - logits_profile_predictions_loss: 160.2177 - logcount_predictions_loss: 0.7015 7/661 [..............................] - ETA: 9:49 - loss: 163.0535 - logits_profile_predictions_loss: 159.8804 - logcount_predictions_loss: 0.7051 8/661 [..............................] - ETA: 9:48 - loss: 162.9049 - logits_profile_predictions_loss: 159.7198 - logcount_predictions_loss: 0.7078 9/661 [..............................] - ETA: 9:47 - loss: 162.6973 - logits_profile_predictions_loss: 159.5068 - logcount_predictions_loss: 0.7090 10/661 [..............................] - ETA: 9:47 - loss: 162.5385 - logits_profile_predictions_loss: 159.3363 - logcount_predictions_loss: 0.7116 11/661 [..............................] - ETA: 9:46 - loss: 162.4865 - logits_profile_predictions_loss: 159.2800 - logcount_predictions_loss: 0.7125 12/661 [..............................] - ETA: 9:45 - loss: 162.4160 - logits_profile_predictions_loss: 159.2074 - logcount_predictions_loss: 0.7130 13/661 [..............................] - ETA: 9:44 - loss: 162.2851 - logits_profile_predictions_loss: 159.0792 - logcount_predictions_loss: 0.7124 14/661 [..............................] - ETA: 9:43 - loss: 162.1375 - logits_profile_predictions_loss: 158.9286 - logcount_predictions_loss: 0.7131 15/661 [..............................] - ETA: 9:42 - loss: 161.9516 - logits_profile_predictions_loss: 158.7467 - logcount_predictions_loss: 0.7122 16/661 [..............................] - ETA: 9:41 - loss: 161.7852 - logits_profile_predictions_loss: 158.5828 - logcount_predictions_loss: 0.7116 17/661 [..............................] - ETA: 9:40 - loss: 161.5694 - logits_profile_predictions_loss: 158.3717 - logcount_predictions_loss: 0.7106 18/661 [..............................] - ETA: 9:39 - loss: 161.3777 - logits_profile_predictions_loss: 158.1808 - logcount_predictions_loss: 0.7104 19/661 [..............................] - ETA: 9:38 - loss: 161.2452 - logits_profile_predictions_loss: 158.0496 - logcount_predictions_loss: 0.7101 20/661 [..............................] - ETA: 9:37 - loss: 161.1079 - logits_profile_predictions_loss: 157.9135 - logcount_predictions_loss: 0.7099 21/661 [..............................] - ETA: 9:36 - loss: 161.0245 - logits_profile_predictions_loss: 157.8321 - logcount_predictions_loss: 0.7094 22/661 [..............................] - ETA: 9:35 - loss: 160.9567 - logits_profile_predictions_loss: 157.7658 - logcount_predictions_loss: 0.7091 23/661 [>.............................] - ETA: 9:34 - loss: 160.9035 - 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[>.............................] - ETA: 9:28 - loss: 160.5741 - logits_profile_predictions_loss: 157.4084 - logcount_predictions_loss: 0.7035 31/661 [>.............................] - ETA: 9:27 - loss: 160.5160 - logits_profile_predictions_loss: 157.3517 - logcount_predictions_loss: 0.7032 32/661 [>.............................] - ETA: 9:26 - loss: 160.4763 - logits_profile_predictions_loss: 157.3136 - logcount_predictions_loss: 0.7028 33/661 [>.............................] - ETA: 9:25 - loss: 160.4365 - logits_profile_predictions_loss: 157.2756 - logcount_predictions_loss: 0.7024 34/661 [>.............................] - ETA: 9:24 - loss: 160.4042 - logits_profile_predictions_loss: 157.2446 - logcount_predictions_loss: 0.7021 35/661 [>.............................] - ETA: 9:24 - loss: 160.3773 - logits_profile_predictions_loss: 157.2189 - logcount_predictions_loss: 0.7019 36/661 [>.............................] - ETA: 9:23 - loss: 160.3300 - logits_profile_predictions_loss: 157.1730 - logcount_predictions_loss: 0.7015 37/661 [>.............................] - ETA: 9:22 - loss: 160.2876 - logits_profile_predictions_loss: 157.1322 - logcount_predictions_loss: 0.7012 38/661 [>.............................] - ETA: 9:21 - loss: 160.2621 - logits_profile_predictions_loss: 157.1085 - logcount_predictions_loss: 0.7008 39/661 [>.............................] - ETA: 9:20 - loss: 160.2332 - logits_profile_predictions_loss: 157.0804 - logcount_predictions_loss: 0.7006 40/661 [>.............................] - ETA: 9:19 - loss: 160.1991 - logits_profile_predictions_loss: 157.0469 - logcount_predictions_loss: 0.7005 41/661 [>.............................] - ETA: 9:18 - loss: 160.1786 - logits_profile_predictions_loss: 157.0270 - logcount_predictions_loss: 0.7004 42/661 [>.............................] - ETA: 9:17 - loss: 160.1662 - logits_profile_predictions_loss: 157.0152 - logcount_predictions_loss: 0.7002 43/661 [>.............................] - ETA: 9:16 - loss: 160.1562 - 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[=>............................] - ETA: 9:10 - loss: 160.1505 - logits_profile_predictions_loss: 156.9987 - logcount_predictions_loss: 0.7004 51/661 [=>............................] - ETA: 9:09 - loss: 160.1573 - logits_profile_predictions_loss: 157.0059 - logcount_predictions_loss: 0.7003 52/661 [=>............................] - ETA: 9:08 - loss: 160.1622 - logits_profile_predictions_loss: 157.0114 - logcount_predictions_loss: 0.7002 53/661 [=>............................] - ETA: 9:07 - loss: 160.1686 - logits_profile_predictions_loss: 157.0184 - logcount_predictions_loss: 0.7000 54/661 [=>............................] - ETA: 9:06 - loss: 160.1786 - logits_profile_predictions_loss: 157.0288 - logcount_predictions_loss: 0.7000 55/661 [=>............................] - ETA: 9:05 - loss: 160.1937 - logits_profile_predictions_loss: 157.0442 - logcount_predictions_loss: 0.6999 56/661 [=>............................] - ETA: 9:05 - loss: 160.2072 - logits_profile_predictions_loss: 157.0581 - logcount_predictions_loss: 0.6998 57/661 [=>............................] - ETA: 9:04 - loss: 160.2267 - logits_profile_predictions_loss: 157.0780 - logcount_predictions_loss: 0.6997 58/661 [=>............................] - ETA: 9:03 - loss: 160.2456 - logits_profile_predictions_loss: 157.0972 - logcount_predictions_loss: 0.6997 59/661 [=>............................] - ETA: 9:02 - loss: 160.2641 - logits_profile_predictions_loss: 157.1159 - logcount_predictions_loss: 0.6996 60/661 [=>............................] - ETA: 9:01 - loss: 160.2839 - logits_profile_predictions_loss: 157.1357 - logcount_predictions_loss: 0.6996 61/661 [=>............................] - ETA: 9:00 - loss: 160.3019 - logits_profile_predictions_loss: 157.1535 - logcount_predictions_loss: 0.6996 62/661 [=>............................] - ETA: 8:59 - loss: 160.3161 - logits_profile_predictions_loss: 157.1675 - logcount_predictions_loss: 0.6997 63/661 [=>............................] - ETA: 8:58 - loss: 160.3284 - 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[==>...........................] - ETA: 8:52 - loss: 160.4168 - logits_profile_predictions_loss: 157.2644 - logcount_predictions_loss: 0.7005 71/661 [==>...........................] - ETA: 8:51 - loss: 160.4282 - logits_profile_predictions_loss: 157.2754 - logcount_predictions_loss: 0.7006 72/661 [==>...........................] - ETA: 8:50 - loss: 160.4367 - logits_profile_predictions_loss: 157.2837 - logcount_predictions_loss: 0.7007 73/661 [==>...........................] - ETA: 8:49 - loss: 160.4418 - logits_profile_predictions_loss: 157.2886 - logcount_predictions_loss: 0.7007 74/661 [==>...........................] - ETA: 8:48 - loss: 160.4452 - logits_profile_predictions_loss: 157.2918 - logcount_predictions_loss: 0.7008 75/661 [==>...........................] - ETA: 8:47 - loss: 160.4470 - logits_profile_predictions_loss: 157.2932 - logcount_predictions_loss: 0.7008 76/661 [==>...........................] - ETA: 8:46 - loss: 160.4468 - logits_profile_predictions_loss: 157.2928 - logcount_predictions_loss: 0.7009 77/661 [==>...........................] - ETA: 8:46 - loss: 160.4472 - logits_profile_predictions_loss: 157.2930 - logcount_predictions_loss: 0.7009 78/661 [==>...........................] - ETA: 8:45 - loss: 160.4454 - logits_profile_predictions_loss: 157.2910 - logcount_predictions_loss: 0.7010 79/661 [==>...........................] - ETA: 8:44 - loss: 160.4417 - logits_profile_predictions_loss: 157.2872 - logcount_predictions_loss: 0.7010 80/661 [==>...........................] - ETA: 8:43 - loss: 160.4365 - logits_profile_predictions_loss: 157.2820 - logcount_predictions_loss: 0.7010 81/661 [==>...........................] - ETA: 8:42 - loss: 160.4316 - logits_profile_predictions_loss: 157.2771 - logcount_predictions_loss: 0.7010 82/661 [==>...........................] - ETA: 8:41 - loss: 160.4278 - logits_profile_predictions_loss: 157.2731 - logcount_predictions_loss: 0.7010 83/661 [==>...........................] - ETA: 8:40 - loss: 160.4213 - logits_profile_predictions_loss: 157.2665 - logcount_predictions_loss: 0.7011 84/661 [==>...........................] - ETA: 8:39 - loss: 160.4150 - logits_profile_predictions_loss: 157.2600 - logcount_predictions_loss: 0.7011 85/661 [==>...........................] - ETA: 8:38 - loss: 160.4074 - logits_profile_predictions_loss: 157.2522 - logcount_predictions_loss: 0.7012 86/661 [==>...........................] - ETA: 8:37 - loss: 160.3992 - logits_profile_predictions_loss: 157.2438 - logcount_predictions_loss: 0.7012 87/661 [==>...........................] - ETA: 8:37 - loss: 160.3924 - logits_profile_predictions_loss: 157.2369 - logcount_predictions_loss: 0.7012 88/661 [==>...........................] - ETA: 8:36 - loss: 160.3848 - logits_profile_predictions_loss: 157.2293 - logcount_predictions_loss: 0.7012 89/661 [===>..........................] - ETA: 8:35 - loss: 160.3774 - logits_profile_predictions_loss: 157.2220 - logcount_predictions_loss: 0.7012 90/661 [===>..........................] - ETA: 8:34 - loss: 160.3695 - logits_profile_predictions_loss: 157.2142 - logcount_predictions_loss: 0.7012 91/661 [===>..........................] - ETA: 8:33 - loss: 160.3616 - logits_profile_predictions_loss: 157.2064 - logcount_predictions_loss: 0.7012 92/661 [===>..........................] - ETA: 8:32 - loss: 160.3526 - logits_profile_predictions_loss: 157.1974 - logcount_predictions_loss: 0.7011 93/661 [===>..........................] - ETA: 8:31 - loss: 160.3418 - logits_profile_predictions_loss: 157.1867 - logcount_predictions_loss: 0.7011 94/661 [===>..........................] - ETA: 8:30 - loss: 160.3311 - logits_profile_predictions_loss: 157.1760 - logcount_predictions_loss: 0.7011 95/661 [===>..........................] - ETA: 8:29 - loss: 160.3205 - logits_profile_predictions_loss: 157.1655 - logcount_predictions_loss: 0.7011 96/661 [===>..........................] - ETA: 8:28 - loss: 160.3107 - logits_profile_predictions_loss: 157.1557 - logcount_predictions_loss: 0.7011 97/661 [===>..........................] - ETA: 8:28 - loss: 160.3028 - logits_profile_predictions_loss: 157.1478 - logcount_predictions_loss: 0.7011 98/661 [===>..........................] - ETA: 8:27 - loss: 160.2937 - logits_profile_predictions_loss: 157.1388 - logcount_predictions_loss: 0.7011 99/661 [===>..........................] - ETA: 8:26 - loss: 160.2837 - logits_profile_predictions_loss: 157.1288 - logcount_predictions_loss: 0.7011 100/661 [===>..........................] - ETA: 8:25 - loss: 160.2727 - logits_profile_predictions_loss: 157.1177 - logcount_predictions_loss: 0.7011 101/661 [===>..........................] - ETA: 8:24 - loss: 160.2615 - logits_profile_predictions_loss: 157.1066 - logcount_predictions_loss: 0.7011 102/661 [===>..........................] - ETA: 8:23 - loss: 160.2505 - logits_profile_predictions_loss: 157.0956 - logcount_predictions_loss: 0.7011 103/661 [===>..........................] - ETA: 8:22 - loss: 160.2392 - logits_profile_predictions_loss: 157.0843 - logcount_predictions_loss: 0.7011 104/661 [===>..........................] - ETA: 8:21 - loss: 160.2285 - logits_profile_predictions_loss: 157.0736 - logcount_predictions_loss: 0.7011 105/661 [===>..........................] - ETA: 8:20 - loss: 160.2161 - logits_profile_predictions_loss: 157.0611 - logcount_predictions_loss: 0.7011 106/661 [===>..........................] - ETA: 8:20 - loss: 160.2030 - logits_profile_predictions_loss: 157.0481 - logcount_predictions_loss: 0.7011 107/661 [===>..........................] - ETA: 8:19 - loss: 160.1920 - logits_profile_predictions_loss: 157.0372 - logcount_predictions_loss: 0.7011 108/661 [===>..........................] - ETA: 8:18 - loss: 160.1819 - logits_profile_predictions_loss: 157.0272 - logcount_predictions_loss: 0.7010 109/661 [===>..........................] - ETA: 8:17 - loss: 160.1740 - logits_profile_predictions_loss: 157.0194 - logcount_predictions_loss: 0.7010 110/661 [===>..........................] - ETA: 8:12 - loss: 160.1663 - logits_profile_predictions_loss: 157.0119 - logcount_predictions_loss: 0.7010 111/661 [====>.........................] - ETA: 8:11 - loss: 160.1602 - logits_profile_predictions_loss: 157.0059 - logcount_predictions_loss: 0.7009 112/661 [====>.........................] - ETA: 8:10 - loss: 160.1543 - logits_profile_predictions_loss: 157.0002 - logcount_predictions_loss: 0.7009 113/661 [====>.........................] - ETA: 8:09 - loss: 160.1466 - logits_profile_predictions_loss: 156.9927 - logcount_predictions_loss: 0.7009 114/661 [====>.........................] - ETA: 8:08 - loss: 160.1398 - logits_profile_predictions_loss: 156.9860 - logcount_predictions_loss: 0.7008 115/661 [====>.........................] - ETA: 8:07 - loss: 160.1335 - logits_profile_predictions_loss: 156.9799 - logcount_predictions_loss: 0.7008 116/661 [====>.........................] - ETA: 8:07 - loss: 160.1299 - logits_profile_predictions_loss: 156.9762 - logcount_predictions_loss: 0.7008 117/661 [====>.........................] - ETA: 8:06 - loss: 160.1276 - logits_profile_predictions_loss: 156.9737 - logcount_predictions_loss: 0.7008 118/661 [====>.........................] - ETA: 8:05 - loss: 160.1267 - logits_profile_predictions_loss: 156.9727 - logcount_predictions_loss: 0.7009 119/661 [====>.........................] - ETA: 8:04 - loss: 160.1263 - logits_profile_predictions_loss: 156.9721 - logcount_predictions_loss: 0.7009 120/661 [====>.........................] - ETA: 8:03 - loss: 160.1256 - logits_profile_predictions_loss: 156.9713 - logcount_predictions_loss: 0.7010 121/661 [====>.........................] - ETA: 8:02 - loss: 160.1249 - logits_profile_predictions_loss: 156.9705 - logcount_predictions_loss: 0.7010 122/661 [====>.........................] - ETA: 8:01 - loss: 160.1233 - logits_profile_predictions_loss: 156.9687 - logcount_predictions_loss: 0.7010 123/661 [====>.........................] - ETA: 8:01 - 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logits_profile_predictions_loss: 156.4749 - logcount_predictions_loss: 0.6759 659/661 [============================>.] - ETA: 1s - loss: 159.5155 - logits_profile_predictions_loss: 156.4741 - logcount_predictions_loss: 0.6759 660/661 [============================>.] - ETA: 0s - loss: 159.5145 - logits_profile_predictions_loss: 156.4732 - logcount_predictions_loss: 0.6759 661/661 [==============================] - ETA: 0s - loss: 159.5135 - logits_profile_predictions_loss: 156.4723 - logcount_predictions_loss: 0.6758 661/661 [==============================] - 618s 935ms/step - loss: 159.5125 - logits_profile_predictions_loss: 156.4714 - logcount_predictions_loss: 0.6758 - val_loss: 176.0271 - val_logits_profile_predictions_loss: 172.8471 - val_logcount_predictions_loss: 0.7067 Epoch 00003: val_loss improved from 176.87207 to 176.02707, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/chrombpnet.h5 Epoch 4/50 1/661 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[===========================>..] - ETA: 22s - loss: 158.5461 - logits_profile_predictions_loss: 155.6537 - logcount_predictions_loss: 0.6427 637/661 [===========================>..] - ETA: 21s - loss: 158.5456 - logits_profile_predictions_loss: 155.6534 - logcount_predictions_loss: 0.6427 638/661 [===========================>..] - ETA: 20s - loss: 158.5452 - logits_profile_predictions_loss: 155.6530 - logcount_predictions_loss: 0.6427 639/661 [============================>.] - ETA: 19s - loss: 158.5447 - logits_profile_predictions_loss: 155.6526 - logcount_predictions_loss: 0.6427 640/661 [============================>.] - ETA: 18s - loss: 158.5442 - logits_profile_predictions_loss: 155.6521 - logcount_predictions_loss: 0.6427 641/661 [============================>.] - ETA: 17s - loss: 158.5437 - logits_profile_predictions_loss: 155.6517 - logcount_predictions_loss: 0.6427 642/661 [============================>.] - ETA: 17s - loss: 158.5432 - logits_profile_predictions_loss: 155.6512 - 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[============================>.] - ETA: 4s - loss: 158.5363 - logits_profile_predictions_loss: 155.6453 - logcount_predictions_loss: 0.6424 657/661 [============================>.] - ETA: 3s - loss: 158.5357 - logits_profile_predictions_loss: 155.6448 - logcount_predictions_loss: 0.6424 658/661 [============================>.] - ETA: 2s - loss: 158.5351 - logits_profile_predictions_loss: 155.6442 - logcount_predictions_loss: 0.6424 659/661 [============================>.] - ETA: 1s - loss: 158.5345 - logits_profile_predictions_loss: 155.6437 - logcount_predictions_loss: 0.6424 660/661 [============================>.] - ETA: 0s - loss: 158.5339 - logits_profile_predictions_loss: 155.6432 - logcount_predictions_loss: 0.6424 661/661 [==============================] - ETA: 0s - loss: 158.5333 - logits_profile_predictions_loss: 155.6426 - logcount_predictions_loss: 0.6424 661/661 [==============================] - 618s 935ms/step - loss: 158.5327 - logits_profile_predictions_loss: 155.6421 - logcount_predictions_loss: 0.6424 - val_loss: 174.5248 - val_logits_profile_predictions_loss: 172.0210 - val_logcount_predictions_loss: 0.5564 Epoch 00004: val_loss improved from 176.02707 to 174.52477, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15/chrombpnet.h5 Epoch 5/50 1/661 [..............................] - ETA: 10:11 - loss: 138.1444 - logits_profile_predictions_loss: 135.6531 - logcount_predictions_loss: 0.5536 2/661 [..............................] - ETA: 9:55 - loss: 144.1430 - logits_profile_predictions_loss: 141.5522 - logcount_predictions_loss: 0.5757  3/661 [..............................] - ETA: 9:53 - loss: 149.4631 - logits_profile_predictions_loss: 146.7057 - logcount_predictions_loss: 0.6128 4/661 [..............................] - ETA: 9:52 - loss: 151.6862 - logits_profile_predictions_loss: 148.7951 - logcount_predictions_loss: 0.6425 5/661 [..............................] - ETA: 9:51 - loss: 152.4617 - 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[..............................] - ETA: 9:44 - loss: 153.3357 - logits_profile_predictions_loss: 150.3622 - logcount_predictions_loss: 0.6608 13/661 [..............................] - ETA: 9:44 - loss: 153.4933 - logits_profile_predictions_loss: 150.5197 - logcount_predictions_loss: 0.6608 14/661 [..............................] - ETA: 9:43 - loss: 153.6035 - logits_profile_predictions_loss: 150.6315 - logcount_predictions_loss: 0.6604 15/661 [..............................] - ETA: 9:42 - loss: 153.6839 - logits_profile_predictions_loss: 150.7165 - logcount_predictions_loss: 0.6594 16/661 [..............................] - ETA: 9:41 - loss: 153.7733 - logits_profile_predictions_loss: 150.8064 - logcount_predictions_loss: 0.6593 17/661 [..............................] - ETA: 9:40 - loss: 153.8689 - logits_profile_predictions_loss: 150.9044 - logcount_predictions_loss: 0.6588 18/661 [..............................] - ETA: 9:39 - loss: 153.9750 - logits_profile_predictions_loss: 151.0145 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[>.............................] - ETA: 9:26 - loss: 154.5319 - logits_profile_predictions_loss: 151.6363 - logcount_predictions_loss: 0.6435 33/661 [>.............................] - ETA: 9:25 - loss: 154.5467 - logits_profile_predictions_loss: 151.6560 - logcount_predictions_loss: 0.6424 34/661 [>.............................] - ETA: 9:25 - loss: 154.5416 - logits_profile_predictions_loss: 151.6559 - logcount_predictions_loss: 0.6413 35/661 [>.............................] - ETA: 9:24 - loss: 154.5503 - logits_profile_predictions_loss: 151.6695 - logcount_predictions_loss: 0.6402 36/661 [>.............................] - ETA: 9:23 - loss: 154.5668 - logits_profile_predictions_loss: 151.6901 - logcount_predictions_loss: 0.6393 37/661 [>.............................] - ETA: 9:22 - loss: 154.5724 - logits_profile_predictions_loss: 151.6998 - logcount_predictions_loss: 0.6384 38/661 [>.............................] - ETA: 9:21 - loss: 154.5911 - logits_profile_predictions_loss: 151.7223 - logcount_predictions_loss: 0.6375 39/661 [>.............................] - ETA: 9:20 - loss: 154.6156 - logits_profile_predictions_loss: 151.7505 - logcount_predictions_loss: 0.6367 40/661 [>.............................] - ETA: 9:19 - loss: 154.6360 - logits_profile_predictions_loss: 151.7745 - logcount_predictions_loss: 0.6359 41/661 [>.............................] - ETA: 9:18 - loss: 154.6522 - logits_profile_predictions_loss: 151.7941 - logcount_predictions_loss: 0.6351 42/661 [>.............................] - ETA: 9:17 - loss: 154.6794 - logits_profile_predictions_loss: 151.8248 - logcount_predictions_loss: 0.6344 43/661 [>.............................] - ETA: 9:16 - loss: 154.7174 - logits_profile_predictions_loss: 151.8660 - logcount_predictions_loss: 0.6336 44/661 [>.............................] - ETA: 9:15 - loss: 154.7551 - logits_profile_predictions_loss: 151.9075 - logcount_predictions_loss: 0.6328 45/661 [=>............................] - ETA: 9:15 - loss: 154.7848 - 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[=>............................] - ETA: 9:08 - loss: 154.9410 - logits_profile_predictions_loss: 152.1148 - logcount_predictions_loss: 0.6280 53/661 [=>............................] - ETA: 9:07 - loss: 154.9533 - logits_profile_predictions_loss: 152.1296 - logcount_predictions_loss: 0.6275 54/661 [=>............................] - ETA: 9:06 - loss: 154.9604 - logits_profile_predictions_loss: 152.1385 - logcount_predictions_loss: 0.6271 55/661 [=>............................] - ETA: 9:06 - loss: 154.9677 - logits_profile_predictions_loss: 152.1476 - logcount_predictions_loss: 0.6267 56/661 [=>............................] - ETA: 9:05 - loss: 154.9726 - logits_profile_predictions_loss: 152.1546 - logcount_predictions_loss: 0.6262 57/661 [=>............................] - ETA: 9:04 - loss: 154.9807 - logits_profile_predictions_loss: 152.1647 - logcount_predictions_loss: 0.6258 58/661 [=>............................] - ETA: 9:03 - loss: 154.9844 - logits_profile_predictions_loss: 152.1706 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[==>...........................] - ETA: 8:50 - loss: 155.1440 - logits_profile_predictions_loss: 152.3522 - logcount_predictions_loss: 0.6204 73/661 [==>...........................] - ETA: 8:49 - loss: 155.1542 - logits_profile_predictions_loss: 152.3635 - logcount_predictions_loss: 0.6202 74/661 [==>...........................] - ETA: 8:48 - loss: 155.1666 - logits_profile_predictions_loss: 152.3771 - logcount_predictions_loss: 0.6199 75/661 [==>...........................] - ETA: 8:47 - loss: 155.1786 - logits_profile_predictions_loss: 152.3902 - logcount_predictions_loss: 0.6196 76/661 [==>...........................] - ETA: 8:47 - loss: 155.1899 - logits_profile_predictions_loss: 152.4027 - logcount_predictions_loss: 0.6194 77/661 [==>...........................] - ETA: 8:46 - loss: 155.2041 - logits_profile_predictions_loss: 152.4180 - logcount_predictions_loss: 0.6191 78/661 [==>...........................] - ETA: 8:45 - loss: 155.2160 - logits_profile_predictions_loss: 152.4310 - logcount_predictions_loss: 0.6189 79/661 [==>...........................] - ETA: 8:44 - loss: 155.2286 - logits_profile_predictions_loss: 152.4447 - logcount_predictions_loss: 0.6187 80/661 [==>...........................] - ETA: 8:43 - loss: 155.2422 - logits_profile_predictions_loss: 152.4595 - logcount_predictions_loss: 0.6184 81/661 [==>...........................] - ETA: 8:42 - loss: 155.2529 - logits_profile_predictions_loss: 152.4713 - logcount_predictions_loss: 0.6181 82/661 [==>...........................] - ETA: 8:41 - loss: 155.2641 - logits_profile_predictions_loss: 152.4834 - logcount_predictions_loss: 0.6179 83/661 [==>...........................] - ETA: 8:40 - loss: 155.2756 - logits_profile_predictions_loss: 152.4959 - logcount_predictions_loss: 0.6177 84/661 [==>...........................] - ETA: 8:39 - loss: 155.2854 - logits_profile_predictions_loss: 152.5067 - logcount_predictions_loss: 0.6175 85/661 [==>...........................] - ETA: 8:38 - loss: 155.2957 - 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[===>..........................] - ETA: 8:32 - loss: 155.3708 - logits_profile_predictions_loss: 152.6000 - logcount_predictions_loss: 0.6157 93/661 [===>..........................] - ETA: 8:31 - loss: 155.3814 - logits_profile_predictions_loss: 152.6114 - logcount_predictions_loss: 0.6156 94/661 [===>..........................] - ETA: 8:30 - loss: 155.3929 - logits_profile_predictions_loss: 152.6236 - logcount_predictions_loss: 0.6154 95/661 [===>..........................] - ETA: 8:30 - loss: 155.4026 - logits_profile_predictions_loss: 152.6341 - logcount_predictions_loss: 0.6152 96/661 [===>..........................] - ETA: 8:29 - loss: 155.4147 - logits_profile_predictions_loss: 152.6468 - logcount_predictions_loss: 0.6151 97/661 [===>..........................] - ETA: 8:28 - loss: 155.4271 - logits_profile_predictions_loss: 152.6598 - logcount_predictions_loss: 0.6150 98/661 [===>..........................] - ETA: 8:27 - loss: 155.4409 - logits_profile_predictions_loss: 152.6741 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[============================>.] - ETA: 6s - loss: 156.5283 - logits_profile_predictions_loss: 153.8044 - logcount_predictions_loss: 0.6053 655/661 [============================>.] - ETA: 5s - loss: 156.5290 - logits_profile_predictions_loss: 153.8050 - logcount_predictions_loss: 0.6053 656/661 [============================>.] - ETA: 4s - loss: 156.5296 - logits_profile_predictions_loss: 153.8057 - logcount_predictions_loss: 0.6053 657/661 [============================>.] - ETA: 3s - loss: 156.5302 - logits_profile_predictions_loss: 153.8064 - logcount_predictions_loss: 0.6053 658/661 [============================>.] - ETA: 2s - loss: 156.5308 - logits_profile_predictions_loss: 153.8070 - logcount_predictions_loss: 0.6053 659/661 [============================>.] - ETA: 1s - loss: 156.5314 - logits_profile_predictions_loss: 153.8077 - logcount_predictions_loss: 0.6053 660/661 [============================>.] - ETA: 0s - loss: 156.5320 - logits_profile_predictions_loss: 153.8083 - logcount_predictions_loss: 0.6053 661/661 [==============================] - ETA: 0s - loss: 156.5325 - logits_profile_predictions_loss: 153.8089 - logcount_predictions_loss: 0.6053 661/661 [==============================] - 618s 935ms/step - loss: 156.5331 - logits_profile_predictions_loss: 153.8095 - logcount_predictions_loss: 0.6052 - val_loss: 175.0566 - val_logits_profile_predictions_loss: 171.7039 - val_logcount_predictions_loss: 0.7451 Epoch 00005: val_loss did not improve from 174.52477 Epoch 6/50 1/661 [..............................] - ETA: 10:07 - loss: 140.6308 - logits_profile_predictions_loss: 137.9120 - logcount_predictions_loss: 0.6042 2/661 [..............................] - ETA: 9:53 - loss: 145.0498 - logits_profile_predictions_loss: 142.3424 - logcount_predictions_loss: 0.6016  3/661 [..............................] - ETA: 9:52 - loss: 147.5300 - logits_profile_predictions_loss: 144.9038 - logcount_predictions_loss: 0.5836 4/661 [..............................] - 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[============================>.] - ETA: 15s - loss: 153.9762 - logits_profile_predictions_loss: 151.4393 - logcount_predictions_loss: 0.5637 645/661 [============================>.] - ETA: 14s - loss: 153.9775 - logits_profile_predictions_loss: 151.4407 - logcount_predictions_loss: 0.5637 646/661 [============================>.] - ETA: 13s - loss: 153.9789 - logits_profile_predictions_loss: 151.4420 - logcount_predictions_loss: 0.5637 647/661 [============================>.] - ETA: 12s - loss: 153.9803 - logits_profile_predictions_loss: 151.4434 - logcount_predictions_loss: 0.5638 648/661 [============================>.] - ETA: 11s - loss: 153.9817 - logits_profile_predictions_loss: 151.4448 - logcount_predictions_loss: 0.5638 649/661 [============================>.] - ETA: 10s - loss: 153.9831 - logits_profile_predictions_loss: 151.4461 - logcount_predictions_loss: 0.5638 650/661 [============================>.] - ETA: 9s - loss: 153.9845 - logits_profile_predictions_loss: 151.4475 - logcount_predictions_loss: 0.5638  651/661 [============================>.] - ETA: 8s - loss: 153.9858 - logits_profile_predictions_loss: 151.4488 - logcount_predictions_loss: 0.5638 652/661 [============================>.] - ETA: 8s - loss: 153.9872 - logits_profile_predictions_loss: 151.4501 - logcount_predictions_loss: 0.5638 653/661 [============================>.] - ETA: 7s - loss: 153.9886 - logits_profile_predictions_loss: 151.4515 - logcount_predictions_loss: 0.5638 654/661 [============================>.] - ETA: 6s - loss: 153.9899 - logits_profile_predictions_loss: 151.4528 - logcount_predictions_loss: 0.5638 655/661 [============================>.] - ETA: 5s - loss: 153.9913 - logits_profile_predictions_loss: 151.4541 - logcount_predictions_loss: 0.5638 656/661 [============================>.] - ETA: 4s - loss: 153.9926 - logits_profile_predictions_loss: 151.4554 - logcount_predictions_loss: 0.5638 657/661 [============================>.] - ETA: 3s - loss: 153.9940 - logits_profile_predictions_loss: 151.4568 - logcount_predictions_loss: 0.5638 658/661 [============================>.] - ETA: 2s - loss: 153.9953 - logits_profile_predictions_loss: 151.4581 - logcount_predictions_loss: 0.5638 659/661 [============================>.] - ETA: 1s - loss: 153.9967 - logits_profile_predictions_loss: 151.4594 - logcount_predictions_loss: 0.5638 660/661 [============================>.] - ETA: 0s - loss: 153.9981 - logits_profile_predictions_loss: 151.4609 - logcount_predictions_loss: 0.5638 661/661 [==============================] - ETA: 0s - loss: 153.9996 - logits_profile_predictions_loss: 151.4623 - logcount_predictions_loss: 0.5638 661/661 [==============================] - 618s 935ms/step - loss: 154.0010 - logits_profile_predictions_loss: 151.4637 - logcount_predictions_loss: 0.5638 - val_loss: 174.6721 - val_logits_profile_predictions_loss: 172.3379 - val_logcount_predictions_loss: 0.5187 Epoch 00007: val_loss did not improve from 174.31696 Epoch 8/50 1/661 [..............................] - ETA: 10:18 - loss: 144.3561 - logits_profile_predictions_loss: 141.3416 - logcount_predictions_loss: 0.6699 2/661 [..............................] - ETA: 9:54 - loss: 151.5335 - logits_profile_predictions_loss: 148.6826 - logcount_predictions_loss: 0.6335  3/661 [..............................] - ETA: 9:52 - loss: 155.6596 - logits_profile_predictions_loss: 152.9269 - logcount_predictions_loss: 0.6073 4/661 [..............................] - ETA: 9:51 - loss: 156.7850 - logits_profile_predictions_loss: 154.1077 - logcount_predictions_loss: 0.5950 5/661 [..............................] - ETA: 9:50 - loss: 156.9851 - logits_profile_predictions_loss: 154.3465 - logcount_predictions_loss: 0.5864 6/661 [..............................] - ETA: 9:49 - loss: 156.5588 - logits_profile_predictions_loss: 153.9461 - logcount_predictions_loss: 0.5806 7/661 [..............................] - ETA: 9:49 - loss: 156.0782 - logits_profile_predictions_loss: 153.4785 - logcount_predictions_loss: 0.5777 8/661 [..............................] - ETA: 9:48 - loss: 156.0207 - logits_profile_predictions_loss: 153.4320 - logcount_predictions_loss: 0.5753 9/661 [..............................] - ETA: 9:47 - loss: 155.8781 - logits_profile_predictions_loss: 153.3061 - logcount_predictions_loss: 0.5716 10/661 [..............................] - ETA: 9:46 - loss: 155.8236 - logits_profile_predictions_loss: 153.2533 - logcount_predictions_loss: 0.5712 11/661 [..............................] - ETA: 9:45 - loss: 155.6546 - logits_profile_predictions_loss: 153.0784 - logcount_predictions_loss: 0.5725 12/661 [..............................] - ETA: 9:44 - loss: 155.6725 - logits_profile_predictions_loss: 153.0934 - logcount_predictions_loss: 0.5731 13/661 [..............................] - ETA: 9:43 - loss: 155.7568 - logits_profile_predictions_loss: 153.1764 - logcount_predictions_loss: 0.5734 14/661 [..............................] - ETA: 9:42 - loss: 155.8113 - logits_profile_predictions_loss: 153.2333 - logcount_predictions_loss: 0.5729 15/661 [..............................] - ETA: 9:41 - loss: 155.8376 - logits_profile_predictions_loss: 153.2635 - logcount_predictions_loss: 0.5720 16/661 [..............................] - ETA: 9:41 - loss: 155.8770 - logits_profile_predictions_loss: 153.3087 - logcount_predictions_loss: 0.5707 17/661 [..............................] - ETA: 9:40 - loss: 155.9461 - logits_profile_predictions_loss: 153.3853 - logcount_predictions_loss: 0.5691 18/661 [..............................] - ETA: 9:39 - loss: 155.9209 - logits_profile_predictions_loss: 153.3673 - logcount_predictions_loss: 0.5675 19/661 [..............................] - ETA: 9:38 - loss: 155.9329 - logits_profile_predictions_loss: 153.3845 - logcount_predictions_loss: 0.5663 20/661 [..............................] - ETA: 9:37 - loss: 155.9433 - logits_profile_predictions_loss: 153.3993 - logcount_predictions_loss: 0.5653 21/661 [..............................] - ETA: 9:36 - loss: 155.9308 - logits_profile_predictions_loss: 153.3917 - logcount_predictions_loss: 0.5642 22/661 [..............................] - ETA: 9:35 - loss: 155.9393 - logits_profile_predictions_loss: 153.4034 - logcount_predictions_loss: 0.5635 23/661 [>.............................] - ETA: 9:34 - loss: 155.9541 - logits_profile_predictions_loss: 153.4198 - logcount_predictions_loss: 0.5632 24/661 [>.............................] - ETA: 9:33 - loss: 155.9793 - logits_profile_predictions_loss: 153.4465 - logcount_predictions_loss: 0.5629 25/661 [>.............................] - ETA: 9:32 - loss: 156.0018 - logits_profile_predictions_loss: 153.4704 - logcount_predictions_loss: 0.5625 26/661 [>.............................] - ETA: 9:31 - loss: 156.0095 - logits_profile_predictions_loss: 153.4793 - logcount_predictions_loss: 0.5623 27/661 [>.............................] - ETA: 9:30 - loss: 156.0097 - logits_profile_predictions_loss: 153.4814 - logcount_predictions_loss: 0.5618 28/661 [>.............................] - ETA: 9:30 - loss: 155.9809 - logits_profile_predictions_loss: 153.4548 - logcount_predictions_loss: 0.5614 29/661 [>.............................] - ETA: 9:29 - loss: 155.9314 - logits_profile_predictions_loss: 153.4064 - logcount_predictions_loss: 0.5611 30/661 [>.............................] - ETA: 9:28 - loss: 155.9124 - logits_profile_predictions_loss: 153.3870 - logcount_predictions_loss: 0.5612 31/661 [>.............................] - ETA: 9:27 - loss: 155.8917 - logits_profile_predictions_loss: 153.3657 - logcount_predictions_loss: 0.5613 32/661 [>.............................] - ETA: 9:26 - loss: 155.8680 - logits_profile_predictions_loss: 153.3414 - logcount_predictions_loss: 0.5615 33/661 [>.............................] - ETA: 9:25 - loss: 155.8437 - logits_profile_predictions_loss: 153.3170 - logcount_predictions_loss: 0.5615 34/661 [>.............................] - ETA: 9:25 - loss: 155.8163 - logits_profile_predictions_loss: 153.2896 - logcount_predictions_loss: 0.5615 35/661 [>.............................] - ETA: 9:24 - loss: 155.8043 - logits_profile_predictions_loss: 153.2784 - logcount_predictions_loss: 0.5613 36/661 [>.............................] - ETA: 9:23 - loss: 155.7717 - logits_profile_predictions_loss: 153.2468 - logcount_predictions_loss: 0.5611 37/661 [>.............................] - ETA: 9:22 - loss: 155.7459 - logits_profile_predictions_loss: 153.2220 - logcount_predictions_loss: 0.5609 38/661 [>.............................] - ETA: 9:21 - loss: 155.7189 - logits_profile_predictions_loss: 153.1961 - logcount_predictions_loss: 0.5606 39/661 [>.............................] - ETA: 9:20 - loss: 155.6814 - logits_profile_predictions_loss: 153.1598 - logcount_predictions_loss: 0.5603 40/661 [>.............................] - ETA: 9:19 - loss: 155.6432 - logits_profile_predictions_loss: 153.1229 - logcount_predictions_loss: 0.5601 41/661 [>.............................] - ETA: 9:18 - loss: 155.6096 - logits_profile_predictions_loss: 153.0906 - logcount_predictions_loss: 0.5598 42/661 [>.............................] - ETA: 9:17 - loss: 155.5754 - logits_profile_predictions_loss: 153.0574 - logcount_predictions_loss: 0.5596 43/661 [>.............................] - ETA: 9:16 - loss: 155.5477 - logits_profile_predictions_loss: 153.0303 - logcount_predictions_loss: 0.5594 44/661 [>.............................] - ETA: 9:15 - loss: 155.5284 - logits_profile_predictions_loss: 153.0118 - logcount_predictions_loss: 0.5592 45/661 [=>............................] - ETA: 9:15 - loss: 155.5132 - logits_profile_predictions_loss: 152.9973 - logcount_predictions_loss: 0.5591 46/661 [=>............................] - ETA: 9:14 - loss: 155.4928 - logits_profile_predictions_loss: 152.9767 - logcount_predictions_loss: 0.5591 47/661 [=>............................] - ETA: 9:13 - loss: 155.4675 - logits_profile_predictions_loss: 152.9513 - logcount_predictions_loss: 0.5592 48/661 [=>............................] - ETA: 9:12 - loss: 155.4441 - logits_profile_predictions_loss: 152.9277 - logcount_predictions_loss: 0.5592 49/661 [=>............................] - ETA: 9:11 - loss: 155.4185 - logits_profile_predictions_loss: 152.9020 - logcount_predictions_loss: 0.5592 50/661 [=>............................] - ETA: 9:10 - loss: 155.3948 - logits_profile_predictions_loss: 152.8779 - logcount_predictions_loss: 0.5593 51/661 [=>............................] - ETA: 9:09 - loss: 155.3710 - logits_profile_predictions_loss: 152.8537 - logcount_predictions_loss: 0.5594 52/661 [=>............................] - ETA: 9:08 - loss: 155.3475 - logits_profile_predictions_loss: 152.8298 - logcount_predictions_loss: 0.5595 53/661 [=>............................] - ETA: 9:07 - loss: 155.3307 - logits_profile_predictions_loss: 152.8127 - logcount_predictions_loss: 0.5596 54/661 [=>............................] - ETA: 9:06 - loss: 155.3249 - logits_profile_predictions_loss: 152.8066 - logcount_predictions_loss: 0.5596 55/661 [=>............................] - ETA: 9:06 - loss: 155.3186 - logits_profile_predictions_loss: 152.8004 - logcount_predictions_loss: 0.5596 56/661 [=>............................] - ETA: 9:05 - loss: 155.3118 - logits_profile_predictions_loss: 152.7939 - logcount_predictions_loss: 0.5595 57/661 [=>............................] - ETA: 9:04 - loss: 155.3067 - logits_profile_predictions_loss: 152.7892 - logcount_predictions_loss: 0.5595 58/661 [=>............................] - ETA: 9:03 - loss: 155.3046 - logits_profile_predictions_loss: 152.7874 - logcount_predictions_loss: 0.5594 59/661 [=>............................] - ETA: 9:02 - loss: 155.3037 - logits_profile_predictions_loss: 152.7869 - logcount_predictions_loss: 0.5593 60/661 [=>............................] - ETA: 9:01 - loss: 155.3055 - logits_profile_predictions_loss: 152.7890 - logcount_predictions_loss: 0.5592 61/661 [=>............................] - ETA: 9:00 - loss: 155.3026 - logits_profile_predictions_loss: 152.7863 - logcount_predictions_loss: 0.5592 62/661 [=>............................] - ETA: 8:59 - loss: 155.2946 - logits_profile_predictions_loss: 152.7785 - logcount_predictions_loss: 0.5591 63/661 [=>............................] - ETA: 8:58 - loss: 155.2861 - logits_profile_predictions_loss: 152.7702 - logcount_predictions_loss: 0.5591 64/661 [=>............................] - ETA: 8:58 - loss: 155.2781 - logits_profile_predictions_loss: 152.7623 - logcount_predictions_loss: 0.5591 65/661 [=>............................] - ETA: 8:57 - loss: 155.2714 - logits_profile_predictions_loss: 152.7557 - logcount_predictions_loss: 0.5590 66/661 [=>............................] - ETA: 8:56 - loss: 155.2641 - logits_profile_predictions_loss: 152.7483 - logcount_predictions_loss: 0.5591 67/661 [==>...........................] - ETA: 8:55 - loss: 155.2581 - logits_profile_predictions_loss: 152.7423 - logcount_predictions_loss: 0.5591 68/661 [==>...........................] - ETA: 8:54 - loss: 155.2517 - logits_profile_predictions_loss: 152.7359 - logcount_predictions_loss: 0.5591 69/661 [==>...........................] - ETA: 8:53 - loss: 155.2410 - logits_profile_predictions_loss: 152.7252 - logcount_predictions_loss: 0.5591 70/661 [==>...........................] - ETA: 8:52 - loss: 155.2332 - logits_profile_predictions_loss: 152.7175 - logcount_predictions_loss: 0.5590 71/661 [==>...........................] - ETA: 8:51 - loss: 155.2258 - logits_profile_predictions_loss: 152.7102 - logcount_predictions_loss: 0.5590 72/661 [==>...........................] - ETA: 8:50 - loss: 155.2223 - logits_profile_predictions_loss: 152.7066 - logcount_predictions_loss: 0.5590 73/661 [==>...........................] - ETA: 8:49 - loss: 155.2173 - logits_profile_predictions_loss: 152.7017 - logcount_predictions_loss: 0.5590 74/661 [==>...........................] - ETA: 8:49 - loss: 155.2137 - logits_profile_predictions_loss: 152.6978 - logcount_predictions_loss: 0.5591 75/661 [==>...........................] - ETA: 8:48 - loss: 155.2063 - logits_profile_predictions_loss: 152.6900 - logcount_predictions_loss: 0.5592 76/661 [==>...........................] - ETA: 8:47 - loss: 155.1980 - logits_profile_predictions_loss: 152.6814 - logcount_predictions_loss: 0.5593 77/661 [==>...........................] - ETA: 8:46 - loss: 155.1954 - logits_profile_predictions_loss: 152.6781 - logcount_predictions_loss: 0.5594 78/661 [==>...........................] - ETA: 8:45 - loss: 155.1913 - logits_profile_predictions_loss: 152.6733 - logcount_predictions_loss: 0.5596 79/661 [==>...........................] - ETA: 8:44 - loss: 155.1896 - logits_profile_predictions_loss: 152.6709 - logcount_predictions_loss: 0.5597 80/661 [==>...........................] - ETA: 8:43 - loss: 155.1910 - logits_profile_predictions_loss: 152.6717 - logcount_predictions_loss: 0.5598 81/661 [==>...........................] - ETA: 8:42 - loss: 155.1910 - logits_profile_predictions_loss: 152.6712 - logcount_predictions_loss: 0.5600 82/661 [==>...........................] - ETA: 8:41 - loss: 155.1913 - logits_profile_predictions_loss: 152.6710 - logcount_predictions_loss: 0.5601 83/661 [==>...........................] - ETA: 8:40 - loss: 155.1858 - logits_profile_predictions_loss: 152.6652 - logcount_predictions_loss: 0.5601 84/661 [==>...........................] - ETA: 8:39 - loss: 155.1807 - logits_profile_predictions_loss: 152.6597 - logcount_predictions_loss: 0.5602 85/661 [==>...........................] - ETA: 8:39 - loss: 155.1776 - logits_profile_predictions_loss: 152.6561 - logcount_predictions_loss: 0.5603 86/661 [==>...........................] - ETA: 8:38 - loss: 155.1774 - logits_profile_predictions_loss: 152.6552 - logcount_predictions_loss: 0.5605 87/661 [==>...........................] - ETA: 8:37 - loss: 155.1754 - logits_profile_predictions_loss: 152.6527 - logcount_predictions_loss: 0.5606 88/661 [==>...........................] - ETA: 8:36 - loss: 155.1709 - logits_profile_predictions_loss: 152.6478 - logcount_predictions_loss: 0.5607 89/661 [===>..........................] - ETA: 8:35 - loss: 155.1654 - logits_profile_predictions_loss: 152.6418 - logcount_predictions_loss: 0.5608 90/661 [===>..........................] - ETA: 8:34 - loss: 155.1607 - logits_profile_predictions_loss: 152.6366 - logcount_predictions_loss: 0.5609 91/661 [===>..........................] - ETA: 8:33 - loss: 155.1597 - logits_profile_predictions_loss: 152.6351 - logcount_predictions_loss: 0.5610 92/661 [===>..........................] - ETA: 8:32 - loss: 155.1574 - logits_profile_predictions_loss: 152.6321 - logcount_predictions_loss: 0.5612 93/661 [===>..........................] - ETA: 8:31 - loss: 155.1575 - logits_profile_predictions_loss: 152.6315 - logcount_predictions_loss: 0.5613 94/661 [===>..........................] - ETA: 8:30 - loss: 155.1601 - logits_profile_predictions_loss: 152.6334 - logcount_predictions_loss: 0.5615 95/661 [===>..........................] - ETA: 8:30 - loss: 155.1628 - logits_profile_predictions_loss: 152.6354 - logcount_predictions_loss: 0.5616 96/661 [===>..........................] - ETA: 8:29 - loss: 155.1634 - logits_profile_predictions_loss: 152.6354 - logcount_predictions_loss: 0.5618 97/661 [===>..........................] - ETA: 8:28 - loss: 155.1637 - logits_profile_predictions_loss: 152.6349 - logcount_predictions_loss: 0.5619 98/661 [===>..........................] - ETA: 8:27 - loss: 155.1657 - logits_profile_predictions_loss: 152.6363 - logcount_predictions_loss: 0.5621 99/661 [===>..........................] - ETA: 8:26 - loss: 155.1684 - logits_profile_predictions_loss: 152.6384 - logcount_predictions_loss: 0.5622 100/661 [===>..........................] - ETA: 8:25 - loss: 155.1715 - logits_profile_predictions_loss: 152.6409 - logcount_predictions_loss: 0.5623 101/661 [===>..........................] - ETA: 8:24 - loss: 155.1729 - logits_profile_predictions_loss: 152.6419 - logcount_predictions_loss: 0.5624 102/661 [===>..........................] - ETA: 8:23 - loss: 155.1731 - logits_profile_predictions_loss: 152.6417 - logcount_predictions_loss: 0.5625 103/661 [===>..........................] - ETA: 8:22 - loss: 155.1729 - logits_profile_predictions_loss: 152.6410 - logcount_predictions_loss: 0.5626 104/661 [===>..........................] - ETA: 8:21 - loss: 155.1726 - logits_profile_predictions_loss: 152.6404 - logcount_predictions_loss: 0.5627 105/661 [===>..........................] - ETA: 8:21 - loss: 155.1720 - logits_profile_predictions_loss: 152.6394 - logcount_predictions_loss: 0.5628 106/661 [===>..........................] - ETA: 8:20 - loss: 155.1703 - logits_profile_predictions_loss: 152.6374 - logcount_predictions_loss: 0.5629 107/661 [===>..........................] - ETA: 8:19 - loss: 155.1685 - logits_profile_predictions_loss: 152.6354 - logcount_predictions_loss: 0.5629 108/661 [===>..........................] - ETA: 8:18 - loss: 155.1679 - logits_profile_predictions_loss: 152.6345 - logcount_predictions_loss: 0.5630 109/661 [===>..........................] - ETA: 8:17 - loss: 155.1673 - logits_profile_predictions_loss: 152.6338 - logcount_predictions_loss: 0.5630 110/661 [===>..........................] - ETA: 8:16 - loss: 155.1661 - logits_profile_predictions_loss: 152.6324 - logcount_predictions_loss: 0.5630 111/661 [====>.........................] - ETA: 8:15 - loss: 155.1652 - logits_profile_predictions_loss: 152.6314 - logcount_predictions_loss: 0.5631 112/661 [====>.........................] - ETA: 8:14 - loss: 155.1637 - logits_profile_predictions_loss: 152.6297 - logcount_predictions_loss: 0.5631 113/661 [====>.........................] - ETA: 8:13 - loss: 155.1618 - logits_profile_predictions_loss: 152.6276 - logcount_predictions_loss: 0.5631 114/661 [====>.........................] - ETA: 8:12 - loss: 155.1592 - logits_profile_predictions_loss: 152.6250 - logcount_predictions_loss: 0.5632 115/661 [====>.........................] - ETA: 8:12 - loss: 155.1548 - logits_profile_predictions_loss: 152.6205 - logcount_predictions_loss: 0.5632 116/661 [====>.........................] - ETA: 8:11 - loss: 155.1503 - logits_profile_predictions_loss: 152.6158 - logcount_predictions_loss: 0.5632 117/661 [====>.........................] - ETA: 8:10 - loss: 155.1466 - logits_profile_predictions_loss: 152.6120 - logcount_predictions_loss: 0.5632 118/661 [====>.........................] - ETA: 8:09 - loss: 155.1419 - logits_profile_predictions_loss: 152.6071 - logcount_predictions_loss: 0.5633 119/661 [====>.........................] - ETA: 8:08 - loss: 155.1364 - logits_profile_predictions_loss: 152.6015 - logcount_predictions_loss: 0.5633 120/661 [====>.........................] - ETA: 8:07 - loss: 155.1313 - logits_profile_predictions_loss: 152.5962 - logcount_predictions_loss: 0.5634 121/661 [====>.........................] - ETA: 8:06 - loss: 155.1267 - logits_profile_predictions_loss: 152.5914 - logcount_predictions_loss: 0.5634 122/661 [====>.........................] - ETA: 8:05 - loss: 155.1227 - logits_profile_predictions_loss: 152.5872 - logcount_predictions_loss: 0.5634 123/661 [====>.........................] - ETA: 8:04 - loss: 155.1199 - logits_profile_predictions_loss: 152.5843 - logcount_predictions_loss: 0.5635 124/661 [====>.........................] - ETA: 8:03 - loss: 155.1162 - logits_profile_predictions_loss: 152.5805 - logcount_predictions_loss: 0.5635 125/661 [====>.........................] - ETA: 8:03 - loss: 155.1123 - logits_profile_predictions_loss: 152.5765 - logcount_predictions_loss: 0.5635 126/661 [====>.........................] - ETA: 8:02 - loss: 155.1089 - logits_profile_predictions_loss: 152.5731 - logcount_predictions_loss: 0.5635 127/661 [====>.........................] - ETA: 8:01 - loss: 155.1051 - logits_profile_predictions_loss: 152.5692 - logcount_predictions_loss: 0.5635 128/661 [====>.........................] - ETA: 8:00 - loss: 155.1014 - logits_profile_predictions_loss: 152.5655 - logcount_predictions_loss: 0.5635 129/661 [====>.........................] - ETA: 7:59 - loss: 155.0984 - logits_profile_predictions_loss: 152.5624 - logcount_predictions_loss: 0.5635 130/661 [====>.........................] - ETA: 7:58 - loss: 155.0956 - logits_profile_predictions_loss: 152.5596 - logcount_predictions_loss: 0.5635 131/661 [====>.........................] - ETA: 7:57 - loss: 155.0939 - logits_profile_predictions_loss: 152.5580 - logcount_predictions_loss: 0.5635 132/661 [====>.........................] - ETA: 7:56 - loss: 155.0916 - logits_profile_predictions_loss: 152.5556 - logcount_predictions_loss: 0.5635 133/661 [=====>........................] - ETA: 7:55 - loss: 155.0896 - logits_profile_predictions_loss: 152.5536 - logcount_predictions_loss: 0.5636 134/661 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[==========================>...] - ETA: 58s - loss: 154.2147 - logits_profile_predictions_loss: 151.6964 - logcount_predictions_loss: 0.5596 597/661 [==========================>...] - ETA: 57s - loss: 154.2143 - logits_profile_predictions_loss: 151.6961 - logcount_predictions_loss: 0.5596 598/661 [==========================>...] - ETA: 56s - loss: 154.2139 - logits_profile_predictions_loss: 151.6957 - logcount_predictions_loss: 0.5596 599/661 [==========================>...] - ETA: 55s - loss: 154.2136 - logits_profile_predictions_loss: 151.6953 - logcount_predictions_loss: 0.5596 600/661 [==========================>...] - ETA: 54s - loss: 154.2133 - logits_profile_predictions_loss: 151.6949 - logcount_predictions_loss: 0.5596 601/661 [==========================>...] - ETA: 53s - loss: 154.2130 - logits_profile_predictions_loss: 151.6947 - logcount_predictions_loss: 0.5596 602/661 [==========================>...] - ETA: 53s - loss: 154.2127 - logits_profile_predictions_loss: 151.6944 - 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[==========================>...] - ETA: 40s - loss: 154.2079 - logits_profile_predictions_loss: 151.6893 - logcount_predictions_loss: 0.5597 617/661 [===========================>..] - ETA: 39s - loss: 154.2074 - logits_profile_predictions_loss: 151.6889 - logcount_predictions_loss: 0.5597 618/661 [===========================>..] - ETA: 38s - loss: 154.2070 - logits_profile_predictions_loss: 151.6884 - logcount_predictions_loss: 0.5597 619/661 [===========================>..] - ETA: 37s - loss: 154.2067 - logits_profile_predictions_loss: 151.6880 - logcount_predictions_loss: 0.5597 620/661 [===========================>..] - ETA: 36s - loss: 154.2063 - logits_profile_predictions_loss: 151.6877 - logcount_predictions_loss: 0.5597 621/661 [===========================>..] - ETA: 35s - loss: 154.2060 - logits_profile_predictions_loss: 151.6873 - logcount_predictions_loss: 0.5597 622/661 [===========================>..] - ETA: 35s - loss: 154.2056 - logits_profile_predictions_loss: 151.6870 - logcount_predictions_loss: 0.5597 623/661 [===========================>..] - ETA: 34s - loss: 154.2052 - logits_profile_predictions_loss: 151.6865 - logcount_predictions_loss: 0.5597 624/661 [===========================>..] - ETA: 33s - loss: 154.2048 - logits_profile_predictions_loss: 151.6861 - logcount_predictions_loss: 0.5597 625/661 [===========================>..] - ETA: 32s - loss: 154.2044 - logits_profile_predictions_loss: 151.6857 - logcount_predictions_loss: 0.5597 626/661 [===========================>..] - ETA: 31s - loss: 154.2040 - logits_profile_predictions_loss: 151.6853 - logcount_predictions_loss: 0.5597 627/661 [===========================>..] - ETA: 30s - loss: 154.2036 - logits_profile_predictions_loss: 151.6849 - logcount_predictions_loss: 0.5597 628/661 [===========================>..] - ETA: 29s - loss: 154.2033 - logits_profile_predictions_loss: 151.6846 - logcount_predictions_loss: 0.5597 629/661 [===========================>..] - ETA: 28s - loss: 154.2029 - 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[===========================>..] - ETA: 22s - loss: 154.2002 - logits_profile_predictions_loss: 151.6815 - logcount_predictions_loss: 0.5597 637/661 [===========================>..] - ETA: 21s - loss: 154.1999 - logits_profile_predictions_loss: 151.6811 - logcount_predictions_loss: 0.5597 638/661 [===========================>..] - ETA: 20s - loss: 154.1995 - logits_profile_predictions_loss: 151.6807 - logcount_predictions_loss: 0.5597 639/661 [============================>.] - ETA: 19s - loss: 154.1991 - logits_profile_predictions_loss: 151.6802 - logcount_predictions_loss: 0.5597 640/661 [============================>.] - ETA: 18s - loss: 154.1986 - logits_profile_predictions_loss: 151.6798 - logcount_predictions_loss: 0.5597 641/661 [============================>.] - ETA: 17s - loss: 154.1981 - logits_profile_predictions_loss: 151.6793 - logcount_predictions_loss: 0.5597 642/661 [============================>.] - ETA: 17s - loss: 154.1976 - logits_profile_predictions_loss: 151.6788 - logcount_predictions_loss: 0.5597 643/661 [============================>.] - ETA: 16s - loss: 154.1971 - logits_profile_predictions_loss: 151.6783 - logcount_predictions_loss: 0.5597 644/661 [============================>.] - ETA: 15s - loss: 154.1966 - logits_profile_predictions_loss: 151.6778 - logcount_predictions_loss: 0.5597 645/661 [============================>.] - ETA: 14s - loss: 154.1961 - logits_profile_predictions_loss: 151.6773 - logcount_predictions_loss: 0.5597 646/661 [============================>.] - ETA: 13s - loss: 154.1956 - logits_profile_predictions_loss: 151.6768 - logcount_predictions_loss: 0.5597 647/661 [============================>.] - ETA: 12s - loss: 154.1951 - logits_profile_predictions_loss: 151.6763 - logcount_predictions_loss: 0.5597 648/661 [============================>.] - ETA: 11s - loss: 154.1946 - logits_profile_predictions_loss: 151.6757 - logcount_predictions_loss: 0.5598 649/661 [============================>.] - ETA: 10s - loss: 154.1942 - logits_profile_predictions_loss: 151.6753 - logcount_predictions_loss: 0.5598 650/661 [============================>.] - ETA: 9s - loss: 154.1937 - logits_profile_predictions_loss: 151.6748 - logcount_predictions_loss: 0.5598  651/661 [============================>.] - ETA: 8s - loss: 154.1933 - logits_profile_predictions_loss: 151.6743 - logcount_predictions_loss: 0.5598 652/661 [============================>.] - ETA: 8s - loss: 154.1928 - logits_profile_predictions_loss: 151.6738 - logcount_predictions_loss: 0.5598 653/661 [============================>.] - ETA: 7s - loss: 154.1923 - logits_profile_predictions_loss: 151.6734 - logcount_predictions_loss: 0.5598 654/661 [============================>.] - ETA: 6s - loss: 154.1919 - logits_profile_predictions_loss: 151.6730 - logcount_predictions_loss: 0.5598 655/661 [============================>.] - ETA: 5s - loss: 154.1915 - logits_profile_predictions_loss: 151.6725 - logcount_predictions_loss: 0.5598 656/661 [============================>.] - ETA: 4s - loss: 154.1911 - logits_profile_predictions_loss: 151.6721 - logcount_predictions_loss: 0.5598 657/661 [============================>.] - ETA: 3s - loss: 154.1907 - logits_profile_predictions_loss: 151.6717 - logcount_predictions_loss: 0.5598 658/661 [============================>.] - ETA: 2s - loss: 154.1903 - logits_profile_predictions_loss: 151.6713 - logcount_predictions_loss: 0.5598 659/661 [============================>.] - ETA: 1s - loss: 154.1898 - logits_profile_predictions_loss: 151.6709 - logcount_predictions_loss: 0.5598 660/661 [============================>.] - ETA: 0s - loss: 154.1894 - logits_profile_predictions_loss: 151.6705 - logcount_predictions_loss: 0.5598 661/661 [==============================] - ETA: 0s - loss: 154.1890 - logits_profile_predictions_loss: 151.6700 - logcount_predictions_loss: 0.5598 661/661 [==============================] - 618s 935ms/step - loss: 154.1886 - logits_profile_predictions_loss: 151.6696 - logcount_predictions_loss: 0.5598 - val_loss: 174.8230 - val_logits_profile_predictions_loss: 172.4576 - val_logcount_predictions_loss: 0.5256 Epoch 00008: val_loss did not improve from 174.31696 Epoch 9/50 1/661 [..............................] - ETA: 10:03 - loss: 160.6828 - logits_profile_predictions_loss: 158.1711 - logcount_predictions_loss: 0.5582 2/661 [..............................] - ETA: 9:53 - loss: 164.4660 - logits_profile_predictions_loss: 162.1838 - logcount_predictions_loss: 0.5071  3/661 [..............................] - ETA: 9:52 - loss: 163.3477 - logits_profile_predictions_loss: 161.0425 - logcount_predictions_loss: 0.5123 4/661 [..............................] - ETA: 9:51 - loss: 162.1569 - logits_profile_predictions_loss: 159.7975 - logcount_predictions_loss: 0.5243 5/661 [..............................] - ETA: 9:51 - loss: 160.6880 - logits_profile_predictions_loss: 158.2831 - logcount_predictions_loss: 0.5344 6/661 [..............................] - ETA: 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[..............................] - ETA: 9:44 - loss: 155.7137 - logits_profile_predictions_loss: 153.1291 - logcount_predictions_loss: 0.5743 14/661 [..............................] - ETA: 9:42 - loss: 155.4569 - logits_profile_predictions_loss: 152.8684 - logcount_predictions_loss: 0.5752 15/661 [..............................] - ETA: 9:42 - loss: 155.2520 - logits_profile_predictions_loss: 152.6636 - logcount_predictions_loss: 0.5752 16/661 [..............................] - ETA: 9:41 - loss: 155.0642 - logits_profile_predictions_loss: 152.4786 - logcount_predictions_loss: 0.5746 17/661 [..............................] - ETA: 9:40 - loss: 154.8915 - logits_profile_predictions_loss: 152.3080 - logcount_predictions_loss: 0.5741 18/661 [..............................] - ETA: 9:39 - loss: 154.7248 - logits_profile_predictions_loss: 152.1432 - logcount_predictions_loss: 0.5737 19/661 [..............................] - ETA: 9:38 - loss: 154.5428 - logits_profile_predictions_loss: 151.9639 - logcount_predictions_loss: 0.5731 20/661 [..............................] - ETA: 9:37 - loss: 154.3756 - logits_profile_predictions_loss: 151.7979 - logcount_predictions_loss: 0.5728 21/661 [..............................] - ETA: 9:36 - loss: 154.2186 - logits_profile_predictions_loss: 151.6439 - logcount_predictions_loss: 0.5722 22/661 [..............................] - ETA: 9:35 - loss: 154.1103 - logits_profile_predictions_loss: 151.5378 - logcount_predictions_loss: 0.5717 23/661 [>.............................] - ETA: 9:34 - loss: 154.0030 - logits_profile_predictions_loss: 151.4340 - logcount_predictions_loss: 0.5709 24/661 [>.............................] - ETA: 9:33 - loss: 153.8732 - logits_profile_predictions_loss: 151.3074 - logcount_predictions_loss: 0.5702 25/661 [>.............................] - ETA: 9:33 - loss: 153.7318 - logits_profile_predictions_loss: 151.1687 - logcount_predictions_loss: 0.5696 26/661 [>.............................] - ETA: 9:32 - loss: 153.6128 - 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[>.............................] - ETA: 9:25 - loss: 153.0365 - logits_profile_predictions_loss: 150.4885 - logcount_predictions_loss: 0.5662 34/661 [>.............................] - ETA: 9:24 - loss: 152.9786 - logits_profile_predictions_loss: 150.4322 - logcount_predictions_loss: 0.5659 35/661 [>.............................] - ETA: 9:24 - loss: 152.9184 - logits_profile_predictions_loss: 150.3739 - logcount_predictions_loss: 0.5654 36/661 [>.............................] - ETA: 9:23 - loss: 152.8711 - logits_profile_predictions_loss: 150.3286 - logcount_predictions_loss: 0.5650 37/661 [>.............................] - ETA: 9:22 - loss: 152.8381 - logits_profile_predictions_loss: 150.2979 - logcount_predictions_loss: 0.5645 38/661 [>.............................] - ETA: 9:21 - loss: 152.8120 - logits_profile_predictions_loss: 150.2742 - logcount_predictions_loss: 0.5639 39/661 [>.............................] - ETA: 9:20 - loss: 152.7933 - logits_profile_predictions_loss: 150.2578 - logcount_predictions_loss: 0.5634 40/661 [>.............................] - ETA: 9:19 - loss: 152.7670 - logits_profile_predictions_loss: 150.2337 - logcount_predictions_loss: 0.5630 41/661 [>.............................] - ETA: 9:18 - loss: 152.7406 - logits_profile_predictions_loss: 150.2094 - logcount_predictions_loss: 0.5625 42/661 [>.............................] - ETA: 9:17 - loss: 152.7063 - logits_profile_predictions_loss: 150.1772 - logcount_predictions_loss: 0.5620 43/661 [>.............................] - ETA: 9:16 - loss: 152.6607 - logits_profile_predictions_loss: 150.1336 - logcount_predictions_loss: 0.5616 44/661 [>.............................] - ETA: 9:15 - loss: 152.6139 - logits_profile_predictions_loss: 150.0888 - logcount_predictions_loss: 0.5611 45/661 [=>............................] - ETA: 9:14 - loss: 152.5600 - logits_profile_predictions_loss: 150.0370 - logcount_predictions_loss: 0.5607 46/661 [=>............................] - ETA: 9:13 - loss: 152.5160 - 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logcount_predictions_loss: 0.5440 642/661 [============================>.] - ETA: 17s - loss: 151.9910 - logits_profile_predictions_loss: 149.5428 - logcount_predictions_loss: 0.5440 643/661 [============================>.] - ETA: 16s - loss: 151.9920 - logits_profile_predictions_loss: 149.5437 - logcount_predictions_loss: 0.5441 644/661 [============================>.] - ETA: 15s - loss: 151.9929 - logits_profile_predictions_loss: 149.5446 - logcount_predictions_loss: 0.5441 645/661 [============================>.] - ETA: 14s - loss: 151.9938 - logits_profile_predictions_loss: 149.5455 - logcount_predictions_loss: 0.5441 646/661 [============================>.] - ETA: 13s - loss: 151.9948 - logits_profile_predictions_loss: 149.5464 - logcount_predictions_loss: 0.5441 647/661 [============================>.] - ETA: 12s - loss: 151.9958 - logits_profile_predictions_loss: 149.5474 - logcount_predictions_loss: 0.5441 648/661 [============================>.] - ETA: 11s - loss: 151.9968 - logits_profile_predictions_loss: 149.5483 - logcount_predictions_loss: 0.5441 649/661 [============================>.] - ETA: 10s - loss: 151.9977 - logits_profile_predictions_loss: 149.5492 - logcount_predictions_loss: 0.5441 650/661 [============================>.] - ETA: 9s - loss: 151.9987 - logits_profile_predictions_loss: 149.5501 - logcount_predictions_loss: 0.5441  651/661 [============================>.] - ETA: 8s - loss: 151.9996 - logits_profile_predictions_loss: 149.5510 - logcount_predictions_loss: 0.5441 652/661 [============================>.] - ETA: 8s - loss: 152.0006 - logits_profile_predictions_loss: 149.5519 - logcount_predictions_loss: 0.5441 653/661 [============================>.] - ETA: 7s - loss: 152.0015 - logits_profile_predictions_loss: 149.5528 - logcount_predictions_loss: 0.5441 654/661 [============================>.] - ETA: 6s - loss: 152.0024 - logits_profile_predictions_loss: 149.5537 - logcount_predictions_loss: 0.5441 655/661 [============================>.] - ETA: 5s - loss: 152.0033 - logits_profile_predictions_loss: 149.5545 - logcount_predictions_loss: 0.5442 656/661 [============================>.] - ETA: 4s - loss: 152.0042 - logits_profile_predictions_loss: 149.5554 - logcount_predictions_loss: 0.5442 657/661 [============================>.] - ETA: 3s - loss: 152.0051 - logits_profile_predictions_loss: 149.5563 - logcount_predictions_loss: 0.5442 658/661 [============================>.] - ETA: 2s - loss: 152.0062 - logits_profile_predictions_loss: 149.5573 - logcount_predictions_loss: 0.5442 659/661 [============================>.] - ETA: 1s - loss: 152.0072 - logits_profile_predictions_loss: 149.5583 - logcount_predictions_loss: 0.5442 660/661 [============================>.] - ETA: 0s - loss: 152.0082 - logits_profile_predictions_loss: 149.5593 - logcount_predictions_loss: 0.5442 661/661 [==============================] - ETA: 0s - loss: 152.0093 - logits_profile_predictions_loss: 149.5603 - logcount_predictions_loss: 0.5442 661/661 [==============================] - 618s 935ms/step - loss: 152.0103 - logits_profile_predictions_loss: 149.5613 - logcount_predictions_loss: 0.5442 - val_loss: 175.4677 - val_logits_profile_predictions_loss: 173.1291 - val_logcount_predictions_loss: 0.5197 Epoch 00009: val_loss did not improve from 174.31696 Epoch 10/50 1/661 [..............................] - ETA: 10:08 - loss: 154.3180 - logits_profile_predictions_loss: 151.5146 - logcount_predictions_loss: 0.6230 2/661 [..............................] - ETA: 9:53 - loss: 153.8464 - logits_profile_predictions_loss: 151.1600 - logcount_predictions_loss: 0.5970  3/661 [..............................] - ETA: 9:52 - loss: 152.7689 - logits_profile_predictions_loss: 150.1829 - logcount_predictions_loss: 0.5747 4/661 [..............................] - ETA: 9:51 - loss: 151.2327 - logits_profile_predictions_loss: 148.6913 - logcount_predictions_loss: 0.5647 5/661 [..............................] - ETA: 9:50 - loss: 150.8069 - logits_profile_predictions_loss: 148.3119 - logcount_predictions_loss: 0.5545 6/661 [..............................] - ETA: 9:49 - loss: 150.9007 - logits_profile_predictions_loss: 148.4303 - logcount_predictions_loss: 0.5490 7/661 [..............................] - ETA: 9:48 - loss: 150.9018 - logits_profile_predictions_loss: 148.4454 - logcount_predictions_loss: 0.5459 8/661 [..............................] - ETA: 9:47 - loss: 150.9792 - logits_profile_predictions_loss: 148.5295 - logcount_predictions_loss: 0.5444 9/661 [..............................] - ETA: 9:46 - loss: 150.9632 - logits_profile_predictions_loss: 148.5266 - logcount_predictions_loss: 0.5415 10/661 [..............................] - ETA: 9:46 - loss: 150.8648 - logits_profile_predictions_loss: 148.4346 - logcount_predictions_loss: 0.5401 11/661 [..............................] - ETA: 9:45 - loss: 150.8036 - logits_profile_predictions_loss: 148.3776 - logcount_predictions_loss: 0.5391 12/661 [..............................] - ETA: 9:44 - loss: 150.8748 - logits_profile_predictions_loss: 148.4532 - logcount_predictions_loss: 0.5381 13/661 [..............................] - ETA: 9:43 - loss: 150.8910 - logits_profile_predictions_loss: 148.4729 - logcount_predictions_loss: 0.5373 14/661 [..............................] - ETA: 9:42 - loss: 150.9014 - logits_profile_predictions_loss: 148.4881 - logcount_predictions_loss: 0.5363 15/661 [..............................] - ETA: 9:41 - loss: 150.8961 - logits_profile_predictions_loss: 148.4842 - logcount_predictions_loss: 0.5360 16/661 [..............................] - ETA: 9:40 - loss: 150.8864 - logits_profile_predictions_loss: 148.4767 - logcount_predictions_loss: 0.5355 17/661 [..............................] - ETA: 9:39 - loss: 150.8910 - logits_profile_predictions_loss: 148.4808 - logcount_predictions_loss: 0.5356 18/661 [..............................] - ETA: 9:38 - loss: 150.8663 - logits_profile_predictions_loss: 148.4573 - logcount_predictions_loss: 0.5353 19/661 [..............................] - ETA: 9:37 - loss: 150.8438 - logits_profile_predictions_loss: 148.4362 - logcount_predictions_loss: 0.5350 20/661 [..............................] - ETA: 9:37 - loss: 150.8312 - logits_profile_predictions_loss: 148.4262 - logcount_predictions_loss: 0.5345 21/661 [..............................] - ETA: 9:36 - loss: 150.8164 - logits_profile_predictions_loss: 148.4133 - logcount_predictions_loss: 0.5340 22/661 [..............................] - ETA: 9:35 - loss: 150.8282 - logits_profile_predictions_loss: 148.4273 - logcount_predictions_loss: 0.5335 23/661 [>.............................] - ETA: 9:34 - loss: 150.8362 - logits_profile_predictions_loss: 148.4372 - logcount_predictions_loss: 0.5331 24/661 [>.............................] - ETA: 9:33 - loss: 150.8455 - logits_profile_predictions_loss: 148.4488 - logcount_predictions_loss: 0.5326 25/661 [>.............................] - ETA: 9:32 - loss: 150.8553 - logits_profile_predictions_loss: 148.4589 - logcount_predictions_loss: 0.5325 26/661 [>.............................] - ETA: 9:31 - loss: 150.8644 - logits_profile_predictions_loss: 148.4675 - logcount_predictions_loss: 0.5327 27/661 [>.............................] - ETA: 9:30 - loss: 150.8954 - logits_profile_predictions_loss: 148.4983 - logcount_predictions_loss: 0.5327 28/661 [>.............................] - ETA: 9:29 - loss: 150.9483 - logits_profile_predictions_loss: 148.5513 - logcount_predictions_loss: 0.5327 29/661 [>.............................] - ETA: 9:28 - loss: 150.9763 - logits_profile_predictions_loss: 148.5804 - logcount_predictions_loss: 0.5324 30/661 [>.............................] - ETA: 9:28 - loss: 150.9992 - logits_profile_predictions_loss: 148.6045 - logcount_predictions_loss: 0.5322 31/661 [>.............................] - ETA: 9:27 - loss: 151.0140 - logits_profile_predictions_loss: 148.6210 - logcount_predictions_loss: 0.5318 32/661 [>.............................] - ETA: 9:26 - loss: 151.0358 - logits_profile_predictions_loss: 148.6451 - logcount_predictions_loss: 0.5313 33/661 [>.............................] - ETA: 9:25 - loss: 151.0448 - logits_profile_predictions_loss: 148.6562 - logcount_predictions_loss: 0.5308 34/661 [>.............................] - ETA: 9:24 - loss: 151.0522 - logits_profile_predictions_loss: 148.6649 - logcount_predictions_loss: 0.5305 35/661 [>.............................] - ETA: 9:23 - loss: 151.0625 - logits_profile_predictions_loss: 148.6764 - logcount_predictions_loss: 0.5303 36/661 [>.............................] - ETA: 9:22 - loss: 151.0774 - logits_profile_predictions_loss: 148.6926 - logcount_predictions_loss: 0.5299 37/661 [>.............................] - ETA: 9:21 - loss: 151.1020 - logits_profile_predictions_loss: 148.7186 - logcount_predictions_loss: 0.5296 38/661 [>.............................] - ETA: 9:20 - loss: 151.1206 - logits_profile_predictions_loss: 148.7390 - logcount_predictions_loss: 0.5293 39/661 [>.............................] - ETA: 9:20 - loss: 151.1413 - logits_profile_predictions_loss: 148.7606 - logcount_predictions_loss: 0.5291 40/661 [>.............................] - ETA: 9:19 - loss: 151.1540 - logits_profile_predictions_loss: 148.7739 - logcount_predictions_loss: 0.5289 41/661 [>.............................] - ETA: 9:18 - loss: 151.1676 - logits_profile_predictions_loss: 148.7880 - logcount_predictions_loss: 0.5288 42/661 [>.............................] - ETA: 9:17 - loss: 151.1850 - logits_profile_predictions_loss: 148.8063 - logcount_predictions_loss: 0.5286 43/661 [>.............................] - ETA: 9:16 - loss: 151.1973 - logits_profile_predictions_loss: 148.8194 - logcount_predictions_loss: 0.5284 44/661 [>.............................] - ETA: 9:15 - loss: 151.2082 - logits_profile_predictions_loss: 148.8306 - logcount_predictions_loss: 0.5284 45/661 [=>............................] - ETA: 9:15 - loss: 151.2233 - logits_profile_predictions_loss: 148.8459 - logcount_predictions_loss: 0.5283 46/661 [=>............................] - ETA: 9:14 - loss: 151.2371 - logits_profile_predictions_loss: 148.8598 - logcount_predictions_loss: 0.5283 47/661 [=>............................] - ETA: 9:13 - loss: 151.2482 - logits_profile_predictions_loss: 148.8712 - logcount_predictions_loss: 0.5282 48/661 [=>............................] - ETA: 9:12 - loss: 151.2517 - logits_profile_predictions_loss: 148.8747 - logcount_predictions_loss: 0.5282 49/661 [=>............................] - ETA: 9:11 - loss: 151.2530 - logits_profile_predictions_loss: 148.8758 - logcount_predictions_loss: 0.5283 50/661 [=>............................] - ETA: 9:10 - loss: 151.2509 - logits_profile_predictions_loss: 148.8732 - logcount_predictions_loss: 0.5284 51/661 [=>............................] - ETA: 9:09 - loss: 151.2504 - logits_profile_predictions_loss: 148.8721 - logcount_predictions_loss: 0.5285 52/661 [=>............................] - ETA: 9:08 - loss: 151.2469 - logits_profile_predictions_loss: 148.8684 - logcount_predictions_loss: 0.5286 53/661 [=>............................] - ETA: 9:07 - loss: 151.2393 - logits_profile_predictions_loss: 148.8604 - logcount_predictions_loss: 0.5287 54/661 [=>............................] - ETA: 9:06 - loss: 151.2321 - logits_profile_predictions_loss: 148.8529 - logcount_predictions_loss: 0.5287 55/661 [=>............................] - ETA: 9:05 - loss: 151.2211 - logits_profile_predictions_loss: 148.8413 - logcount_predictions_loss: 0.5288 56/661 [=>............................] - ETA: 9:05 - loss: 151.2100 - logits_profile_predictions_loss: 148.8295 - logcount_predictions_loss: 0.5290 57/661 [=>............................] - ETA: 9:04 - loss: 151.1974 - logits_profile_predictions_loss: 148.8162 - logcount_predictions_loss: 0.5292 58/661 [=>............................] - ETA: 9:03 - loss: 151.1832 - logits_profile_predictions_loss: 148.8016 - logcount_predictions_loss: 0.5293 59/661 [=>............................] - ETA: 9:02 - loss: 151.1692 - logits_profile_predictions_loss: 148.7872 - logcount_predictions_loss: 0.5293 60/661 [=>............................] - ETA: 9:01 - loss: 151.1575 - logits_profile_predictions_loss: 148.7753 - logcount_predictions_loss: 0.5294 61/661 [=>............................] - ETA: 9:00 - loss: 151.1513 - logits_profile_predictions_loss: 148.7690 - logcount_predictions_loss: 0.5294 62/661 [=>............................] - ETA: 8:59 - loss: 151.1454 - logits_profile_predictions_loss: 148.7631 - logcount_predictions_loss: 0.5294 63/661 [=>............................] - ETA: 8:58 - loss: 151.1407 - logits_profile_predictions_loss: 148.7581 - logcount_predictions_loss: 0.5294 64/661 [=>............................] - ETA: 8:57 - loss: 151.1360 - logits_profile_predictions_loss: 148.7534 - logcount_predictions_loss: 0.5295 65/661 [=>............................] - ETA: 8:56 - loss: 151.1335 - logits_profile_predictions_loss: 148.7507 - logcount_predictions_loss: 0.5295 66/661 [=>............................] - ETA: 8:56 - loss: 151.1296 - logits_profile_predictions_loss: 148.7467 - logcount_predictions_loss: 0.5295 67/661 [==>...........................] - ETA: 8:55 - loss: 151.1265 - logits_profile_predictions_loss: 148.7434 - logcount_predictions_loss: 0.5296 68/661 [==>...........................] - ETA: 8:54 - loss: 151.1225 - logits_profile_predictions_loss: 148.7390 - logcount_predictions_loss: 0.5297 69/661 [==>...........................] - ETA: 8:53 - loss: 151.1174 - logits_profile_predictions_loss: 148.7337 - logcount_predictions_loss: 0.5297 70/661 [==>...........................] - ETA: 8:52 - loss: 151.1129 - logits_profile_predictions_loss: 148.7289 - logcount_predictions_loss: 0.5298 71/661 [==>...........................] - ETA: 8:51 - loss: 151.1069 - logits_profile_predictions_loss: 148.7228 - logcount_predictions_loss: 0.5298 72/661 [==>...........................] - ETA: 8:50 - loss: 151.1081 - logits_profile_predictions_loss: 148.7237 - logcount_predictions_loss: 0.5299 73/661 [==>...........................] - ETA: 8:49 - loss: 151.1069 - logits_profile_predictions_loss: 148.7222 - logcount_predictions_loss: 0.5299 74/661 [==>...........................] - ETA: 8:48 - loss: 151.1040 - logits_profile_predictions_loss: 148.7190 - logcount_predictions_loss: 0.5300 75/661 [==>...........................] - ETA: 8:47 - loss: 151.1013 - logits_profile_predictions_loss: 148.7161 - logcount_predictions_loss: 0.5301 76/661 [==>...........................] - ETA: 8:47 - loss: 151.0997 - logits_profile_predictions_loss: 148.7140 - logcount_predictions_loss: 0.5301 77/661 [==>...........................] - ETA: 8:46 - loss: 151.0972 - logits_profile_predictions_loss: 148.7112 - logcount_predictions_loss: 0.5302 78/661 [==>...........................] - ETA: 8:45 - loss: 151.0970 - logits_profile_predictions_loss: 148.7107 - logcount_predictions_loss: 0.5303 79/661 [==>...........................] - ETA: 8:44 - loss: 151.0982 - logits_profile_predictions_loss: 148.7115 - logcount_predictions_loss: 0.5304 80/661 [==>...........................] - ETA: 8:43 - loss: 151.1012 - logits_profile_predictions_loss: 148.7141 - logcount_predictions_loss: 0.5305 81/661 [==>...........................] - ETA: 8:42 - loss: 151.1040 - logits_profile_predictions_loss: 148.7166 - logcount_predictions_loss: 0.5305 82/661 [==>...........................] - ETA: 8:41 - loss: 151.1099 - logits_profile_predictions_loss: 148.7221 - logcount_predictions_loss: 0.5306 83/661 [==>...........................] - ETA: 8:40 - loss: 151.1153 - logits_profile_predictions_loss: 148.7273 - logcount_predictions_loss: 0.5307 84/661 [==>...........................] - ETA: 8:39 - loss: 151.1251 - logits_profile_predictions_loss: 148.7368 - logcount_predictions_loss: 0.5307 85/661 [==>...........................] - ETA: 8:38 - loss: 151.1333 - logits_profile_predictions_loss: 148.7449 - logcount_predictions_loss: 0.5308 86/661 [==>...........................] - ETA: 8:38 - loss: 151.1406 - logits_profile_predictions_loss: 148.7521 - logcount_predictions_loss: 0.5308 87/661 [==>...........................] - ETA: 8:37 - loss: 151.1469 - logits_profile_predictions_loss: 148.7583 - logcount_predictions_loss: 0.5308 88/661 [==>...........................] - ETA: 8:36 - loss: 151.1544 - logits_profile_predictions_loss: 148.7659 - logcount_predictions_loss: 0.5308 89/661 [===>..........................] - ETA: 8:35 - loss: 151.1637 - logits_profile_predictions_loss: 148.7751 - logcount_predictions_loss: 0.5308 90/661 [===>..........................] - ETA: 8:34 - loss: 151.1736 - logits_profile_predictions_loss: 148.7849 - logcount_predictions_loss: 0.5308 91/661 [===>..........................] - ETA: 8:33 - loss: 151.1796 - logits_profile_predictions_loss: 148.7909 - logcount_predictions_loss: 0.5308 92/661 [===>..........................] - ETA: 8:32 - loss: 151.1866 - logits_profile_predictions_loss: 148.7979 - logcount_predictions_loss: 0.5308 93/661 [===>..........................] - ETA: 8:31 - loss: 151.1937 - logits_profile_predictions_loss: 148.8051 - logcount_predictions_loss: 0.5308 94/661 [===>..........................] - ETA: 8:30 - loss: 151.2014 - logits_profile_predictions_loss: 148.8129 - logcount_predictions_loss: 0.5308 95/661 [===>..........................] - ETA: 8:29 - loss: 151.2092 - logits_profile_predictions_loss: 148.8207 - logcount_predictions_loss: 0.5308 96/661 [===>..........................] - ETA: 8:29 - loss: 151.2160 - logits_profile_predictions_loss: 148.8277 - logcount_predictions_loss: 0.5307 97/661 [===>..........................] - ETA: 8:28 - loss: 151.2207 - logits_profile_predictions_loss: 148.8326 - logcount_predictions_loss: 0.5307 98/661 [===>..........................] - ETA: 8:27 - loss: 151.2240 - logits_profile_predictions_loss: 148.8360 - logcount_predictions_loss: 0.5307 99/661 [===>..........................] - ETA: 8:26 - loss: 151.2259 - logits_profile_predictions_loss: 148.8382 - logcount_predictions_loss: 0.5306 100/661 [===>..........................] - ETA: 8:25 - loss: 151.2263 - logits_profile_predictions_loss: 148.8387 - logcount_predictions_loss: 0.5306 101/661 [===>..........................] - ETA: 8:24 - loss: 151.2267 - logits_profile_predictions_loss: 148.8393 - logcount_predictions_loss: 0.5305 102/661 [===>..........................] - ETA: 8:23 - loss: 151.2294 - logits_profile_predictions_loss: 148.8423 - logcount_predictions_loss: 0.5305 103/661 [===>..........................] - ETA: 8:22 - loss: 151.2313 - logits_profile_predictions_loss: 148.8445 - logcount_predictions_loss: 0.5304 104/661 [===>..........................] - ETA: 8:21 - loss: 151.2317 - logits_profile_predictions_loss: 148.8451 - logcount_predictions_loss: 0.5304 105/661 [===>..........................] - ETA: 8:20 - loss: 151.2314 - logits_profile_predictions_loss: 148.8451 - logcount_predictions_loss: 0.5303 106/661 [===>..........................] - ETA: 8:20 - loss: 151.2331 - logits_profile_predictions_loss: 148.8471 - logcount_predictions_loss: 0.5302 107/661 [===>..........................] - ETA: 8:19 - loss: 151.2355 - logits_profile_predictions_loss: 148.8499 - logcount_predictions_loss: 0.5301 108/661 [===>..........................] - ETA: 8:18 - loss: 151.2373 - logits_profile_predictions_loss: 148.8520 - logcount_predictions_loss: 0.5301 109/661 [===>..........................] - ETA: 8:17 - loss: 151.2409 - logits_profile_predictions_loss: 148.8560 - logcount_predictions_loss: 0.5300 110/661 [===>..........................] - ETA: 8:16 - loss: 151.2418 - logits_profile_predictions_loss: 148.8572 - logcount_predictions_loss: 0.5299 111/661 [====>.........................] - ETA: 8:15 - loss: 151.2427 - logits_profile_predictions_loss: 148.8585 - logcount_predictions_loss: 0.5298 112/661 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148.8607 - logcount_predictions_loss: 0.5295 119/661 [====>.........................] - ETA: 8:08 - loss: 151.2425 - logits_profile_predictions_loss: 148.8597 - logcount_predictions_loss: 0.5295 120/661 [====>.........................] - ETA: 8:07 - loss: 151.2404 - logits_profile_predictions_loss: 148.8577 - logcount_predictions_loss: 0.5295 121/661 [====>.........................] - ETA: 8:06 - loss: 151.2390 - logits_profile_predictions_loss: 148.8563 - logcount_predictions_loss: 0.5295 122/661 [====>.........................] - ETA: 8:05 - loss: 151.2379 - logits_profile_predictions_loss: 148.8554 - logcount_predictions_loss: 0.5294 123/661 [====>.........................] - ETA: 8:04 - loss: 151.2364 - logits_profile_predictions_loss: 148.8540 - logcount_predictions_loss: 0.5294 124/661 [====>.........................] - ETA: 8:03 - loss: 151.2359 - logits_profile_predictions_loss: 148.8536 - logcount_predictions_loss: 0.5294 125/661 [====>.........................] - ETA: 8:02 - 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[============================>.] - ETA: 6s - loss: 150.2773 - logits_profile_predictions_loss: 147.9558 - logcount_predictions_loss: 0.5159 655/661 [============================>.] - ETA: 5s - loss: 150.2758 - logits_profile_predictions_loss: 147.9543 - logcount_predictions_loss: 0.5159 656/661 [============================>.] - ETA: 4s - loss: 150.2743 - logits_profile_predictions_loss: 147.9528 - logcount_predictions_loss: 0.5159 657/661 [============================>.] - ETA: 3s - loss: 150.2727 - logits_profile_predictions_loss: 147.9513 - logcount_predictions_loss: 0.5159 658/661 [============================>.] - ETA: 2s - loss: 150.2712 - logits_profile_predictions_loss: 147.9497 - logcount_predictions_loss: 0.5159 659/661 [============================>.] - ETA: 1s - loss: 150.2697 - logits_profile_predictions_loss: 147.9482 - logcount_predictions_loss: 0.5159 660/661 [============================>.] - ETA: 0s - loss: 150.2682 - logits_profile_predictions_loss: 147.9468 - 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logcount_predictions_loss: 0.5000 620/661 [===========================>..] - ETA: 36s - loss: 147.5706 - logits_profile_predictions_loss: 145.3208 - logcount_predictions_loss: 0.5000 621/661 [===========================>..] - ETA: 35s - loss: 147.5696 - logits_profile_predictions_loss: 145.3197 - logcount_predictions_loss: 0.5000 622/661 [===========================>..] - ETA: 35s - loss: 147.5685 - logits_profile_predictions_loss: 145.3187 - logcount_predictions_loss: 0.5000 623/661 [===========================>..] - ETA: 34s - loss: 147.5674 - logits_profile_predictions_loss: 145.3176 - logcount_predictions_loss: 0.5000 624/661 [===========================>..] - ETA: 33s - loss: 147.5664 - logits_profile_predictions_loss: 145.3166 - logcount_predictions_loss: 0.5000 625/661 [===========================>..] - ETA: 32s - loss: 147.5654 - logits_profile_predictions_loss: 145.3156 - logcount_predictions_loss: 0.5000 626/661 [===========================>..] - ETA: 31s - loss: 147.5644 - logits_profile_predictions_loss: 145.3145 - logcount_predictions_loss: 0.5000 627/661 [===========================>..] - ETA: 30s - loss: 147.5634 - logits_profile_predictions_loss: 145.3135 - logcount_predictions_loss: 0.5000 628/661 [===========================>..] - ETA: 29s - loss: 147.5624 - logits_profile_predictions_loss: 145.3125 - logcount_predictions_loss: 0.5000 629/661 [===========================>..] - ETA: 28s - loss: 147.5614 - logits_profile_predictions_loss: 145.3116 - logcount_predictions_loss: 0.5000 630/661 [===========================>..] - ETA: 27s - loss: 147.5604 - logits_profile_predictions_loss: 145.3106 - logcount_predictions_loss: 0.5000 631/661 [===========================>..] - ETA: 26s - loss: 147.5595 - logits_profile_predictions_loss: 145.3096 - logcount_predictions_loss: 0.5000 632/661 [===========================>..] - ETA: 26s - loss: 147.5585 - logits_profile_predictions_loss: 145.3087 - logcount_predictions_loss: 0.5000 633/661 [===========================>..] - ETA: 25s - loss: 147.5575 - logits_profile_predictions_loss: 145.3077 - logcount_predictions_loss: 0.5000 634/661 [===========================>..] - ETA: 24s - loss: 147.5566 - logits_profile_predictions_loss: 145.3068 - logcount_predictions_loss: 0.5000 635/661 [===========================>..] - ETA: 23s - loss: 147.5557 - logits_profile_predictions_loss: 145.3058 - logcount_predictions_loss: 0.5000 636/661 [===========================>..] - ETA: 22s - loss: 147.5548 - logits_profile_predictions_loss: 145.3049 - logcount_predictions_loss: 0.5000 637/661 [===========================>..] - ETA: 21s - loss: 147.5539 - logits_profile_predictions_loss: 145.3040 - logcount_predictions_loss: 0.5000 638/661 [===========================>..] - ETA: 20s - loss: 147.5529 - logits_profile_predictions_loss: 145.3030 - logcount_predictions_loss: 0.5000 639/661 [============================>.] - ETA: 19s - loss: 147.5520 - logits_profile_predictions_loss: 145.3021 - logcount_predictions_loss: 0.5000 640/661 [============================>.] - ETA: 18s - loss: 147.5510 - logits_profile_predictions_loss: 145.3011 - logcount_predictions_loss: 0.5000 641/661 [============================>.] - ETA: 17s - loss: 147.5501 - logits_profile_predictions_loss: 145.3002 - logcount_predictions_loss: 0.5000 642/661 [============================>.] - ETA: 17s - loss: 147.5491 - logits_profile_predictions_loss: 145.2993 - logcount_predictions_loss: 0.5000 643/661 [============================>.] - ETA: 16s - loss: 147.5482 - logits_profile_predictions_loss: 145.2983 - logcount_predictions_loss: 0.5000 644/661 [============================>.] - ETA: 15s - loss: 147.5473 - logits_profile_predictions_loss: 145.2974 - logcount_predictions_loss: 0.5000 645/661 [============================>.] - ETA: 14s - loss: 147.5465 - logits_profile_predictions_loss: 145.2966 - logcount_predictions_loss: 0.5000 646/661 [============================>.] - ETA: 13s - loss: 147.5456 - logits_profile_predictions_loss: 145.2957 - logcount_predictions_loss: 0.5000 647/661 [============================>.] - ETA: 12s - loss: 147.5447 - logits_profile_predictions_loss: 145.2948 - logcount_predictions_loss: 0.5000 648/661 [============================>.] - ETA: 11s - loss: 147.5438 - logits_profile_predictions_loss: 145.2939 - logcount_predictions_loss: 0.5000 649/661 [============================>.] - ETA: 10s - loss: 147.5429 - logits_profile_predictions_loss: 145.2930 - logcount_predictions_loss: 0.5000 650/661 [============================>.] - ETA: 9s - loss: 147.5421 - logits_profile_predictions_loss: 145.2921 - logcount_predictions_loss: 0.5000  651/661 [============================>.] - ETA: 8s - loss: 147.5412 - logits_profile_predictions_loss: 145.2913 - logcount_predictions_loss: 0.5000 652/661 [============================>.] - ETA: 8s - loss: 147.5404 - logits_profile_predictions_loss: 145.2905 - logcount_predictions_loss: 0.5000 653/661 [============================>.] - ETA: 7s - loss: 147.5395 - logits_profile_predictions_loss: 145.2896 - logcount_predictions_loss: 0.5000 654/661 [============================>.] - ETA: 6s - loss: 147.5387 - logits_profile_predictions_loss: 145.2888 - logcount_predictions_loss: 0.5000 655/661 [============================>.] - ETA: 5s - loss: 147.5378 - logits_profile_predictions_loss: 145.2879 - logcount_predictions_loss: 0.5000 656/661 [============================>.] - ETA: 4s - loss: 147.5370 - logits_profile_predictions_loss: 145.2871 - logcount_predictions_loss: 0.5000 657/661 [============================>.] - ETA: 3s - loss: 147.5362 - logits_profile_predictions_loss: 145.2863 - logcount_predictions_loss: 0.5000 658/661 [============================>.] - ETA: 2s - loss: 147.5354 - logits_profile_predictions_loss: 145.2855 - logcount_predictions_loss: 0.5000 659/661 [============================>.] - ETA: 1s - loss: 147.5347 - logits_profile_predictions_loss: 145.2847 - logcount_predictions_loss: 0.5000 660/661 [============================>.] - ETA: 0s - loss: 147.5339 - logits_profile_predictions_loss: 145.2839 - logcount_predictions_loss: 0.5000 661/661 [==============================] - ETA: 0s - loss: 147.5332 - logits_profile_predictions_loss: 145.2832 - logcount_predictions_loss: 0.5000 661/661 [==============================] - 618s 935ms/step - loss: 147.5324 - logits_profile_predictions_loss: 145.2824 - logcount_predictions_loss: 0.5000 - val_loss: 178.0737 - val_logits_profile_predictions_loss: 175.8881 - val_logcount_predictions_loss: 0.4857 Epoch 00011: val_loss did not improve from 174.31696 Restoring model weights from the end of the best epoch. Epoch 00011: early stopping save model save model without bias 2022-03-26_05-21-58: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/bigWigs/ENCSR802GEV.bigWig \ --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.peaks.bed \ --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ --inputlen=2114 \ --outputlen=1000 \ --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet \ --batch_size=256 \ --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet.h5 got the model loading peaks... got split:test for bed regions:(11694, 10) loading nonpeaks... got split:test for bed regions:(11693, 10) 0/92 2022-03-26_05-25-38: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/bigWigs/ENCSR802GEV.bigWig \ --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.peaks.bed \ --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ --inputlen=2114 \ --outputlen=1000 \ --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet_wo_bias \ --batch_size=256 \ --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 got the model loading peaks... got split:test for bed regions:(11694, 10) loading nonpeaks... got split:test for bed regions:(11693, 10) 0/92 2022-03-26_05-28-28: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/predict.py \ --genome=/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ --bigwig=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//preprocessing/bigWigs/ENCSR802GEV.bigWig \ --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.peaks.bed \ --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_0.json \ --inputlen=2114 \ --outputlen=1000 \ --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//bias \ --batch_size=256 \ --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//bias_model_scaled.h5 got the model loading peaks... got split:test for bed regions:(11694, 10) loading nonpeaks... got split:test for bed regions:(11693, 10) 0/92 2022-03-26_05-29-37: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//footprints 2022-03-26_05-29-37: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ -chr chr1 \ -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//chrombpnet_wo_bias.h5 \ -bs 512 \ -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//footprints/corrected \ -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 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 5 dnase_1 TTTACAAGTCCA 6 dnase_2 TGTACTTACGAA 7 NRF1 GCGCATGCGC 8 AP1 CGATATGACTCATCCC 9 CTCF TTGGCCACTAGGGGGCGCTAT 10 ETS CCGAAAGCGGAAGTGAGAC 11 SP1 AAGGGGGCGGGGCCTAA 12 RUNX CCCTAACCACAGCCC 13 NFKB GCAAGGGAAATTCCCCAGG 14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC 15 TAL GGCTGGG 16 NFYB CCAGCCAATCAGAGC 17 GABPA GAAACCGGAAGTGGCC 18 BACH1+MAFK AACTGCTGAGTCATCCCG 19 NRF1 CCCCGCGCATGCGCAGTGC 20 HNF4G CCGTTGGACTTTGGACCCTG 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 (Cropping1D (None, 2090, 512) 0 wo_bias_bpnet_1st_conv[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 2082, 512) 0 add[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 2066, 512) 0 add_1[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 2034, 512) 0 add_2[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 1970, 512) 0 add_3[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 1842, 512) 0 add_4[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 1586, 512) 0 add_5[0][0] __________________________________________________________________________________________________ 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 (Cropping1D (None, 1074, 512) 0 add_6[0][0] __________________________________________________________________________________________________ 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] __________________________________________________________________________________________________ wo_bias_bpnet_logitt_before_fla (None, 1000, 1) 0 wo_bias_bpnet_prof_out_precrop[0] __________________________________________________________________________________________________ gap (GlobalAveragePooling1D) (None, 512) 0 add_7[0][0] __________________________________________________________________________________________________ wo_bias_bpnet_logits_profile_pr (None, 1000) 0 wo_bias_bpnet_logitt_before_flatt __________________________________________________________________________________________________ wo_bias_bpnet_logcount_predicti (None, 1) 513 gap[0][0] ================================================================================================== Total params: 6,377,986 Trainable params: 6,377,986 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: tn5_1 GCACAGTACAGAGCTG 1/12 [=>............................] - ETA: 1:36 3/12 [======>.......................] - ETA: 10s  4/12 [=========>....................] - ETA: 12s 5/12 [===========>..................] - ETA: 11s 6/12 [==============>...............] - ETA: 10s 7/12 [================>.............] - ETA: 9s  8/12 [===================>..........] - ETA: 7s 9/12 [=====================>........] - ETA: 5s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 35s 2s/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 22s 3/12 [======>.......................] - ETA: 20s 4/12 [=========>....................] - ETA: 18s 5/12 [===========>..................] - ETA: 15s 6/12 [==============>...............] - ETA: 13s 7/12 [================>.............] - ETA: 11s 8/12 [===================>..........] - ETA: 9s  9/12 [=====================>........] - ETA: 6s 10/12 [========================>.....] - ETA: 4s 11/12 [==========================>...] - ETA: 2s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 26s 2s/step Saving marginal footprints 2022-03-26_05-34-18: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//footprints 2022-03-26_05-34-18: python /home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/evaluation/marginal_footprints/marginal_footprinting.py \ -g /scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa \ -r /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//filtered.nonpeaks.bed \ -chr chr1 \ -m /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//bias_model_scaled.h5 \ -bs 512 \ -o /scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR802GEV//chrombpnet_model_feb15//footprints/bias \ -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ -mo tn5_1,tn5_2,tn5_3,tn5_4,tn5_5 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 5 dnase_1 TTTACAAGTCCA 6 dnase_2 TGTACTTACGAA 7 NRF1 GCGCATGCGC 8 AP1 CGATATGACTCATCCC 9 CTCF TTGGCCACTAGGGGGCGCTAT 10 ETS CCGAAAGCGGAAGTGAGAC 11 SP1 AAGGGGGCGGGGCCTAA 12 RUNX CCCTAACCACAGCCC 13 NFKB GCAAGGGAAATTCCCCAGG 14 GATA+TAL GGCTGGGGGGGGCAGATAAGGCC 15 TAL GGCTGGG 16 NFYB CCAGCCAATCAGAGC 17 GABPA GAAACCGGAAGTGGCC 18 BACH1+MAFK AACTGCTGAGTCATCCCG 19 NRF1 CCCCGCGCATGCGCAGTGC 20 HNF4G CCGTTGGACTTTGGACCCTG 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_pref (None, 1000, 1) 0 prof_out_precrop[0][0] __________________________________________________________________________________________________ gap (GlobalAveragePooling1D) (None, 128) 0 add_3[0][0] __________________________________________________________________________________________________ logits_profile_predictions (Fla (None, 1000) 0 logits_profile_predictions_prefla __________________________________________________________________________________________________ logcount_predictions (Dense) (None, 1) 129 gap[0][0] ================================================================================================== Total params: 217,730 Trainable params: 217,730 Non-trainable params: 0 __________________________________________________________________________________________________ inferred model inputlen: 2114 inferred model outputlen: 1000 inserting motif: tn5_1 GCACAGTACAGAGCTG 1/12 [=>............................] - ETA: 27s 3/12 [======>.......................] - ETA: 0s  4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 0s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 5s 205ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 193ms/step inserting motif: tn5_2 GTGCACAGTTCTAGAGTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 194ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 194ms/step inserting motif: tn5_3 CCTCTACACTGTGCAGAA 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 194ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 193ms/step inserting motif: tn5_4 GCACAGTTCTAGACTGTGCAG 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 193ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 193ms/step inserting motif: tn5_5 CTGCACAGTGTAGAGTTGTGC 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 194ms/step 1/12 [=>............................] - ETA: 0s 2/12 [====>.........................] - ETA: 1s 3/12 [======>.......................] - ETA: 1s 4/12 [=========>....................] - ETA: 1s 5/12 [===========>..................] - ETA: 1s 6/12 [==============>...............] - ETA: 1s 7/12 [================>.............] - ETA: 0s 8/12 [===================>..........] - ETA: 0s 9/12 [=====================>........] - ETA: 0s 10/12 [========================>.....] - ETA: 0s 11/12 [==========================>...] - ETA: 0s 12/12 [==============================] - ETA: 0s 12/12 [==============================] - 2s 193ms/step Saving marginal footprints