diff --git "a/fold_1/logs.models.fold_1.ENCSR121BSW/logfile.modelling.fold_1.ENCSR121BSW.stdout_v1.txt" "b/fold_1/logs.models.fold_1.ENCSR121BSW/logfile.modelling.fold_1.ENCSR121BSW.stdout_v1.txt" new file mode 100644--- /dev/null +++ "b/fold_1/logs.models.fold_1.ENCSR121BSW/logfile.modelling.fold_1.ENCSR121BSW.stdout_v1.txt" @@ -0,0 +1,421 @@ +2022-10-06_06-33-31: 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=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/bigWigs/ENCSR121BSW.bigWig \ + --peaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/downloads/peaks.bed.gz \ + --nonpeaks=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//negatives_data/negatives_with_summit.bed \ + --outlier_threshold=0.99 \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.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/ENCSR283TME/fold_1/bias.h5 \ + --output_dir=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1/ +evaluating hyperparameters on the following chromosomes ['chr1', 'chr3', 'chr4', 'chr5', 'chr6', 'chr7', 'chr10', 'chr11', 'chr13', 'chr14', 'chr15', 'chr18', 'chr19', 'chr20', 'chr21', 'chr22', 'chrX', 'chrY', 'chr12', 'chr17'] +Number of peaks input: 141315 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 141315 +Number of peaks input: 34789 +Number of peaks filtered because the input/output is on the edge: 0 +Number of peaks being used: 34789 +Number of non peaks input: 140834 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 140834 +Number of non peaks input: 35269 +Number of non peaks filtered because the input/output is on the edge: 0 +Number of non peaks being used: 35269 +Number of peaks after removing outliers: 139760 +Number of nonpeaks after removing outliers: 124459 +got the model +Model: "model" +__________________________________________________________________________________________________ +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 +__________________________________________________________________________________________________ +Predicting within adjust counts + 1/3890 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ETA: 0s 3762/3890 [============================>.] - ETA: 0s 3773/3890 [============================>.] - ETA: 0s 3784/3890 [============================>.] - ETA: 0s 3795/3890 [============================>.] - ETA: 0s 3806/3890 [============================>.] - ETA: 0s 3817/3890 [============================>.] - ETA: 0s 3828/3890 [============================>.] - ETA: 0s 3839/3890 [============================>.] - ETA: 0s 3850/3890 [============================>.] - ETA: 0s 3861/3890 [============================>.] - ETA: 0s 3872/3890 [============================>.] - ETA: 0s 3883/3890 [============================>.] - ETA: 0s 3890/3890 [==============================] - ETA: 0s 3890/3890 [==============================] - 30s 5ms/step +2022-10-06_06-40-16: 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=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/bigWigs/ENCSR121BSW.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + --params=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet_model_params.tsv \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.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': '9.0', 'filters': '512', 'n_dil_layers': '8', 'bias_model_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1/bias_model_scaled.h5', 'inputlen': '2114', 'outputlen': '1000', 'max_jitter': '500', 'chr_fold_path': '/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json', 'negative_sampling_ratio': '0.1'} +got the model +loading peaks... +got split:train for bed regions:(122239, 10) +loading nonpeaks... +got split:train for bed regions:(110132, 10) +loading peaks... +got split:valid for bed regions:(17521, 10) +loading nonpeaks... +got split:valid for bed regions:(14327, 10) +Epoch 1/50 + 1/2101 [..............................] - ETA: 3:50:52 - loss: 628.3457 - logits_profile_predictions_loss: 602.3333 - logcount_predictions_loss: 2.8903 2/2101 [..............................] - ETA: 5:22 - loss: 756.3564 - logits_profile_predictions_loss: 614.4848 - logcount_predictions_loss: 15.7635  3/2101 [..............................] - ETA: 5:19 - loss: 784.6004 - logits_profile_predictions_loss: 629.0385 - logcount_predictions_loss: 17.2847 4/2101 [..............................] - ETA: 5:18 - loss: 801.4430 - logits_profile_predictions_loss: 648.0193 - logcount_predictions_loss: 17.0471 5/2101 [..............................] - ETA: 5:18 - loss: 799.4907 - logits_profile_predictions_loss: 652.3732 - logcount_predictions_loss: 16.3464 6/2101 [..............................] - ETA: 5:18 - loss: 792.6900 - logits_profile_predictions_loss: 652.4631 - logcount_predictions_loss: 15.5808 7/2101 [..............................] - ETA: 5:18 - loss: 784.1489 - logits_profile_predictions_loss: 650.5011 - logcount_predictions_loss: 14.8498 8/2101 [..............................] - ETA: 5:17 - loss: 779.1906 - logits_profile_predictions_loss: 651.3689 - logcount_predictions_loss: 14.2024 9/2101 [..............................] - ETA: 5:17 - loss: 773.1740 - logits_profile_predictions_loss: 650.6867 - logcount_predictions_loss: 13.6097 10/2101 [..............................] - ETA: 5:17 - loss: 771.0384 - logits_profile_predictions_loss: 653.2485 - logcount_predictions_loss: 13.0878 11/2101 [..............................] - ETA: 5:16 - loss: 769.3656 - logits_profile_predictions_loss: 655.7966 - logcount_predictions_loss: 12.6188 12/2101 [..............................] - ETA: 5:16 - loss: 766.3376 - logits_profile_predictions_loss: 656.6290 - logcount_predictions_loss: 12.1898 13/2101 [..............................] - ETA: 5:16 - loss: 764.0758 - logits_profile_predictions_loss: 657.8388 - logcount_predictions_loss: 11.8041 14/2101 [..............................] - ETA: 5:16 - loss: 762.7711 - logits_profile_predictions_loss: 659.6612 - logcount_predictions_loss: 11.4566 15/2101 [..............................] - ETA: 5:16 - loss: 761.4548 - logits_profile_predictions_loss: 661.1945 - logcount_predictions_loss: 11.1400 16/2101 [..............................] - ETA: 5:16 - loss: 760.0654 - logits_profile_predictions_loss: 662.4312 - logcount_predictions_loss: 10.8482 17/2101 [..............................] - ETA: 5:15 - loss: 758.3962 - logits_profile_predictions_loss: 663.1881 - logcount_predictions_loss: 10.5787 18/2101 [..............................] - ETA: 5:15 - loss: 757.4584 - logits_profile_predictions_loss: 664.4699 - logcount_predictions_loss: 10.3320 19/2101 [..............................] - ETA: 5:15 - loss: 755.9641 - logits_profile_predictions_loss: 665.0588 - logcount_predictions_loss: 10.1006 20/2101 [..............................] - ETA: 5:15 - loss: 754.2396 - logits_profile_predictions_loss: 665.2844 - logcount_predictions_loss: 9.8839  21/2101 [..............................] - ETA: 5:15 - loss: 752.5242 - logits_profile_predictions_loss: 665.3873 - logcount_predictions_loss: 9.6819 22/2101 [..............................] - ETA: 5:15 - loss: 750.6734 - logits_profile_predictions_loss: 665.2446 - logcount_predictions_loss: 9.4921 23/2101 [..............................] - ETA: 5:14 - loss: 749.1761 - logits_profile_predictions_loss: 665.3350 - logcount_predictions_loss: 9.3157 24/2101 [..............................] - ETA: 5:14 - loss: 747.8952 - logits_profile_predictions_loss: 665.5402 - logcount_predictions_loss: 9.1505 25/2101 [..............................] - ETA: 5:14 - loss: 746.3363 - logits_profile_predictions_loss: 665.3961 - logcount_predictions_loss: 8.9933 26/2101 [..............................] - ETA: 5:14 - loss: 744.7133 - logits_profile_predictions_loss: 665.1150 - logcount_predictions_loss: 8.8442 27/2101 [..............................] - ETA: 5:14 - loss: 743.1871 - logits_profile_predictions_loss: 664.8567 - logcount_predictions_loss: 8.7034 28/2101 [..............................] - ETA: 5:14 - loss: 741.8420 - logits_profile_predictions_loss: 664.7064 - logcount_predictions_loss: 8.5706 29/2101 [..............................] - ETA: 5:14 - loss: 740.5655 - logits_profile_predictions_loss: 664.5606 - logcount_predictions_loss: 8.4450 30/2101 [..............................] - ETA: 5:13 - loss: 739.6344 - logits_profile_predictions_loss: 664.6888 - logcount_predictions_loss: 8.3273 31/2101 [..............................] - ETA: 5:13 - loss: 738.8807 - logits_profile_predictions_loss: 664.9378 - logcount_predictions_loss: 8.2159 32/2101 [..............................] - ETA: 5:13 - loss: 737.9665 - logits_profile_predictions_loss: 664.9867 - logcount_predictions_loss: 8.1089 33/2101 [..............................] - ETA: 5:13 - loss: 737.0411 - logits_profile_predictions_loss: 664.9813 - logcount_predictions_loss: 8.0066 34/2101 [..............................] - ETA: 5:13 - loss: 736.0754 - logits_profile_predictions_loss: 664.8973 - logcount_predictions_loss: 7.9087 35/2101 [..............................] - ETA: 5:13 - loss: 735.2582 - logits_profile_predictions_loss: 664.9175 - logcount_predictions_loss: 7.8156 36/2101 [..............................] - ETA: 5:13 - loss: 734.4997 - logits_profile_predictions_loss: 664.9592 - logcount_predictions_loss: 7.7267 37/2101 [..............................] - ETA: 5:12 - loss: 733.7943 - logits_profile_predictions_loss: 665.0185 - logcount_predictions_loss: 7.6418 38/2101 [..............................] - ETA: 5:12 - loss: 733.0470 - logits_profile_predictions_loss: 665.0075 - logcount_predictions_loss: 7.5599 39/2101 [..............................] - ETA: 5:12 - loss: 732.3520 - logits_profile_predictions_loss: 665.0168 - logcount_predictions_loss: 7.4817 40/2101 [..............................] - ETA: 5:12 - loss: 731.6148 - logits_profile_predictions_loss: 664.9578 - logcount_predictions_loss: 7.4063 41/2101 [..............................] - ETA: 5:12 - loss: 730.9222 - logits_profile_predictions_loss: 664.9154 - logcount_predictions_loss: 7.3341 42/2101 [..............................] - ETA: 5:12 - loss: 730.2097 - logits_profile_predictions_loss: 664.8308 - logcount_predictions_loss: 7.2643 43/2101 [..............................] - ETA: 5:11 - loss: 729.6181 - logits_profile_predictions_loss: 664.8385 - logcount_predictions_loss: 7.1977 44/2101 [..............................] - ETA: 5:11 - loss: 729.1150 - logits_profile_predictions_loss: 664.9091 - logcount_predictions_loss: 7.1340 45/2101 [..............................] - ETA: 5:11 - loss: 728.5965 - logits_profile_predictions_loss: 664.9448 - logcount_predictions_loss: 7.0724 46/2101 [..............................] - ETA: 5:11 - loss: 728.0624 - logits_profile_predictions_loss: 664.9469 - logcount_predictions_loss: 7.0128 47/2101 [..............................] - ETA: 5:11 - loss: 727.5285 - logits_profile_predictions_loss: 664.9326 - logcount_predictions_loss: 6.9551 48/2101 [..............................] - ETA: 5:11 - loss: 727.0330 - logits_profile_predictions_loss: 664.9376 - logcount_predictions_loss: 6.8995 49/2101 [..............................] - ETA: 5:10 - loss: 726.6701 - logits_profile_predictions_loss: 665.0533 - logcount_predictions_loss: 6.8463 50/2101 [..............................] - ETA: 5:10 - loss: 726.3582 - logits_profile_predictions_loss: 665.2022 - logcount_predictions_loss: 6.7951 51/2101 [..............................] - ETA: 5:10 - loss: 725.9656 - logits_profile_predictions_loss: 665.2600 - logcount_predictions_loss: 6.7451 52/2101 [..............................] - ETA: 5:10 - loss: 725.6610 - logits_profile_predictions_loss: 665.3883 - logcount_predictions_loss: 6.6970 53/2101 [..............................] - ETA: 5:10 - loss: 725.3062 - logits_profile_predictions_loss: 665.4564 - logcount_predictions_loss: 6.6500 54/2101 [..............................] - ETA: 5:10 - loss: 724.9830 - logits_profile_predictions_loss: 665.5424 - logcount_predictions_loss: 6.6045 55/2101 [..............................] - ETA: 5:09 - loss: 724.6322 - logits_profile_predictions_loss: 665.5903 - logcount_predictions_loss: 6.5602 56/2101 [..............................] - ETA: 5:09 - loss: 724.3376 - logits_profile_predictions_loss: 665.6797 - logcount_predictions_loss: 6.5175 57/2101 [..............................] - ETA: 5:09 - loss: 724.0738 - logits_profile_predictions_loss: 665.7878 - logcount_predictions_loss: 6.4762 58/2101 [..............................] - ETA: 5:09 - loss: 723.7608 - logits_profile_predictions_loss: 665.8386 - logcount_predictions_loss: 6.4358 59/2101 [..............................] - ETA: 5:09 - loss: 723.4405 - logits_profile_predictions_loss: 665.8721 - logcount_predictions_loss: 6.3965 60/2101 [..............................] - ETA: 5:09 - loss: 723.0888 - logits_profile_predictions_loss: 665.8662 - logcount_predictions_loss: 6.3581 61/2101 [..............................] - ETA: 5:09 - loss: 722.7531 - logits_profile_predictions_loss: 665.8681 - logcount_predictions_loss: 6.3205 62/2101 [..............................] - ETA: 5:08 - loss: 722.4261 - logits_profile_predictions_loss: 665.8698 - logcount_predictions_loss: 6.2840 63/2101 [..............................] - ETA: 5:08 - loss: 722.0972 - logits_profile_predictions_loss: 665.8613 - logcount_predictions_loss: 6.2484 64/2101 [..............................] - ETA: 5:08 - loss: 721.8323 - logits_profile_predictions_loss: 665.9059 - logcount_predictions_loss: 6.2140 65/2101 [..............................] - ETA: 5:08 - loss: 721.5347 - logits_profile_predictions_loss: 665.9117 - logcount_predictions_loss: 6.1803 66/2101 [..............................] - ETA: 5:08 - loss: 721.2257 - logits_profile_predictions_loss: 665.8993 - logcount_predictions_loss: 6.1474 67/2101 [..............................] - ETA: 5:08 - loss: 720.9005 - logits_profile_predictions_loss: 665.8640 - logcount_predictions_loss: 6.1152 68/2101 [..............................] - ETA: 5:07 - loss: 720.5838 - logits_profile_predictions_loss: 665.8292 - logcount_predictions_loss: 6.0838 69/2101 [..............................] - ETA: 5:07 - loss: 720.2641 - logits_profile_predictions_loss: 665.7853 - logcount_predictions_loss: 6.0532 70/2101 [..............................] - ETA: 5:07 - loss: 719.9843 - logits_profile_predictions_loss: 665.7734 - logcount_predictions_loss: 6.0234 71/2101 [>.............................] - ETA: 5:07 - loss: 719.7082 - logits_profile_predictions_loss: 665.7591 - logcount_predictions_loss: 5.9943 72/2101 [>.............................] - ETA: 5:07 - loss: 719.4303 - logits_profile_predictions_loss: 665.7370 - logcount_predictions_loss: 5.9659 73/2101 [>.............................] - ETA: 5:07 - loss: 719.1743 - logits_profile_predictions_loss: 665.7305 - logcount_predictions_loss: 5.9382 74/2101 [>.............................] - ETA: 5:06 - loss: 718.9123 - logits_profile_predictions_loss: 665.7128 - logcount_predictions_loss: 5.9111 75/2101 [>.............................] - ETA: 5:06 - loss: 718.6290 - logits_profile_predictions_loss: 665.6699 - logcount_predictions_loss: 5.8843 76/2101 [>.............................] - ETA: 5:06 - loss: 718.3449 - logits_profile_predictions_loss: 665.6211 - logcount_predictions_loss: 5.8582 77/2101 [>.............................] - ETA: 5:06 - loss: 718.0883 - logits_profile_predictions_loss: 665.5937 - logcount_predictions_loss: 5.8327 78/2101 [>.............................] - ETA: 5:06 - loss: 717.8520 - logits_profile_predictions_loss: 665.5816 - logcount_predictions_loss: 5.8078 79/2101 [>.............................] - ETA: 5:06 - loss: 717.6173 - logits_profile_predictions_loss: 665.5665 - logcount_predictions_loss: 5.7834 80/2101 [>.............................] - ETA: 5:06 - loss: 717.3609 - logits_profile_predictions_loss: 665.5263 - logcount_predictions_loss: 5.7594 81/2101 [>.............................] - ETA: 5:05 - loss: 717.1233 - logits_profile_predictions_loss: 665.5001 - logcount_predictions_loss: 5.7359 82/2101 [>.............................] - ETA: 5:05 - loss: 716.8919 - logits_profile_predictions_loss: 665.4755 - logcount_predictions_loss: 5.7129 83/2101 [>.............................] - ETA: 5:05 - loss: 716.6784 - logits_profile_predictions_loss: 665.4642 - logcount_predictions_loss: 5.6905 84/2101 [>.............................] - ETA: 5:05 - loss: 716.4819 - logits_profile_predictions_loss: 665.4648 - logcount_predictions_loss: 5.6686 85/2101 [>.............................] - ETA: 5:05 - loss: 716.2823 - logits_profile_predictions_loss: 665.4589 - logcount_predictions_loss: 5.6470 86/2101 [>.............................] - ETA: 5:05 - loss: 716.0729 - logits_profile_predictions_loss: 665.4398 - logcount_predictions_loss: 5.6259 87/2101 [>.............................] - ETA: 5:04 - loss: 715.8339 - logits_profile_predictions_loss: 665.3889 - logcount_predictions_loss: 5.6050 88/2101 [>.............................] - ETA: 5:04 - loss: 715.6196 - logits_profile_predictions_loss: 665.3584 - logcount_predictions_loss: 5.5846 89/2101 [>.............................] - ETA: 5:04 - loss: 715.4119 - logits_profile_predictions_loss: 665.3304 - logcount_predictions_loss: 5.5646 90/2101 [>.............................] - ETA: 5:04 - loss: 715.1866 - logits_profile_predictions_loss: 665.2823 - logcount_predictions_loss: 5.5449 91/2101 [>.............................] - ETA: 5:04 - loss: 714.9582 - logits_profile_predictions_loss: 665.2281 - logcount_predictions_loss: 5.5256 92/2101 [>.............................] - ETA: 5:04 - loss: 714.7391 - logits_profile_predictions_loss: 665.1800 - logcount_predictions_loss: 5.5066 93/2101 [>.............................] - ETA: 5:04 - loss: 714.5193 - logits_profile_predictions_loss: 665.1285 - logcount_predictions_loss: 5.4879 94/2101 [>.............................] - ETA: 5:03 - loss: 714.3188 - logits_profile_predictions_loss: 665.0925 - logcount_predictions_loss: 5.4696 95/2101 [>.............................] - ETA: 5:03 - loss: 714.1242 - logits_profile_predictions_loss: 665.0592 - logcount_predictions_loss: 5.4517 96/2101 [>.............................] - ETA: 5:03 - loss: 713.9344 - logits_profile_predictions_loss: 665.0276 - logcount_predictions_loss: 5.4341 97/2101 [>.............................] - ETA: 5:03 - loss: 713.7738 - logits_profile_predictions_loss: 665.0207 - logcount_predictions_loss: 5.4170 98/2101 [>.............................] - ETA: 5:03 - loss: 713.5982 - logits_profile_predictions_loss: 664.9971 - logcount_predictions_loss: 5.4001 99/2101 [>.............................] - ETA: 5:03 - loss: 713.4097 - logits_profile_predictions_loss: 664.9588 - logcount_predictions_loss: 5.3834 100/2101 [>.............................] - ETA: 5:02 - loss: 713.2221 - logits_profile_predictions_loss: 664.9187 - logcount_predictions_loss: 5.3670 101/2101 [>.............................] - ETA: 5:02 - loss: 713.0279 - logits_profile_predictions_loss: 664.8701 - logcount_predictions_loss: 5.3509 102/2101 [>.............................] - ETA: 5:02 - loss: 712.8341 - logits_profile_predictions_loss: 664.8193 - logcount_predictions_loss: 5.3350 103/2101 [>.............................] - ETA: 5:02 - loss: 712.6745 - logits_profile_predictions_loss: 664.7992 - logcount_predictions_loss: 5.3195 104/2101 [>.............................] - ETA: 5:02 - loss: 712.5119 - logits_profile_predictions_loss: 664.7740 - logcount_predictions_loss: 5.3042 105/2101 [>.............................] - ETA: 5:02 - loss: 712.3444 - logits_profile_predictions_loss: 664.7421 - logcount_predictions_loss: 5.2891 106/2101 [>.............................] - ETA: 5:02 - loss: 712.1801 - logits_profile_predictions_loss: 664.7113 - logcount_predictions_loss: 5.2743 107/2101 [>.............................] - ETA: 5:01 - loss: 712.0036 - logits_profile_predictions_loss: 664.6670 - logcount_predictions_loss: 5.2596 108/2101 [>.............................] - ETA: 5:01 - loss: 711.8305 - logits_profile_predictions_loss: 664.6239 - logcount_predictions_loss: 5.2452 109/2101 [>.............................] - ETA: 5:01 - loss: 711.6611 - logits_profile_predictions_loss: 664.5821 - logcount_predictions_loss: 5.2310 110/2101 [>.............................] - ETA: 5:01 - loss: 711.4928 - logits_profile_predictions_loss: 664.5394 - logcount_predictions_loss: 5.2170 111/2101 [>.............................] - ETA: 5:01 - loss: 711.3239 - logits_profile_predictions_loss: 664.4944 - logcount_predictions_loss: 5.2033 112/2101 [>.............................] - ETA: 5:01 - loss: 711.1473 - logits_profile_predictions_loss: 664.4404 - logcount_predictions_loss: 5.1897 113/2101 [>.............................] - ETA: 5:00 - loss: 710.9646 - logits_profile_predictions_loss: 664.3785 - logcount_predictions_loss: 5.1762 114/2101 [>.............................] - ETA: 5:00 - loss: 710.7750 - 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[>.............................] - ETA: 4:59 - loss: 709.4971 - logits_profile_predictions_loss: 663.8194 - logcount_predictions_loss: 5.0753 122/2101 [>.............................] - ETA: 4:59 - loss: 709.3086 - logits_profile_predictions_loss: 663.7381 - logcount_predictions_loss: 5.0634 123/2101 [>.............................] - ETA: 4:59 - loss: 709.1288 - logits_profile_predictions_loss: 663.6636 - logcount_predictions_loss: 5.0517 124/2101 [>.............................] - ETA: 4:59 - loss: 708.9486 - logits_profile_predictions_loss: 663.5872 - logcount_predictions_loss: 5.0402 125/2101 [>.............................] - ETA: 4:59 - loss: 708.7789 - logits_profile_predictions_loss: 663.5194 - logcount_predictions_loss: 5.0288 126/2101 [>.............................] - ETA: 4:59 - loss: 708.6134 - logits_profile_predictions_loss: 663.4541 - logcount_predictions_loss: 5.0177 127/2101 [>.............................] - ETA: 4:58 - loss: 708.4395 - 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[..............................] - ETA: 5:12 - loss: 536.1658 - logits_profile_predictions_loss: 528.6400 - logcount_predictions_loss: 0.8362 54/2101 [..............................] - ETA: 5:12 - loss: 535.8638 - logits_profile_predictions_loss: 528.3393 - logcount_predictions_loss: 0.8361 55/2101 [..............................] - ETA: 5:11 - loss: 535.5792 - logits_profile_predictions_loss: 528.0557 - logcount_predictions_loss: 0.8360 56/2101 [..............................] - ETA: 5:11 - loss: 535.2915 - logits_profile_predictions_loss: 527.7688 - logcount_predictions_loss: 0.8359 57/2101 [..............................] - ETA: 5:11 - loss: 534.9874 - logits_profile_predictions_loss: 527.4648 - logcount_predictions_loss: 0.8358 58/2101 [..............................] - ETA: 5:11 - loss: 534.7019 - logits_profile_predictions_loss: 527.1793 - logcount_predictions_loss: 0.8358 59/2101 [..............................] - ETA: 5:11 - loss: 534.4303 - logits_profile_predictions_loss: 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logits_profile_predictions_loss: 504.1669 - logcount_predictions_loss: 0.6714 330/2101 [===>..........................] - ETA: 4:29 - loss: 510.2103 - logits_profile_predictions_loss: 504.1678 - logcount_predictions_loss: 0.6714 331/2101 [===>..........................] - ETA: 4:29 - loss: 510.2111 - logits_profile_predictions_loss: 504.1685 - logcount_predictions_loss: 0.6714 332/2101 [===>..........................] - ETA: 4:29 - loss: 510.2124 - logits_profile_predictions_loss: 504.1698 - logcount_predictions_loss: 0.6714 333/2101 [===>..........................] - ETA: 4:28 - loss: 510.2138 - logits_profile_predictions_loss: 504.1712 - logcount_predictions_loss: 0.6714 334/2101 [===>..........................] - ETA: 4:28 - loss: 510.2143 - logits_profile_predictions_loss: 504.1716 - logcount_predictions_loss: 0.6714 335/2101 [===>..........................] - ETA: 4:28 - loss: 510.2150 - logits_profile_predictions_loss: 504.1723 - logcount_predictions_loss: 0.6714 336/2101 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[====>.........................] - ETA: 4:24 - loss: 510.1991 - logits_profile_predictions_loss: 504.1534 - logcount_predictions_loss: 0.6718 363/2101 [====>.........................] - ETA: 4:24 - loss: 510.2009 - logits_profile_predictions_loss: 504.1551 - logcount_predictions_loss: 0.6718 364/2101 [====>.........................] - ETA: 4:24 - loss: 510.2037 - logits_profile_predictions_loss: 504.1578 - logcount_predictions_loss: 0.6718 365/2101 [====>.........................] - ETA: 4:24 - loss: 510.2064 - logits_profile_predictions_loss: 504.1603 - logcount_predictions_loss: 0.6718 366/2101 [====>.........................] - ETA: 4:23 - loss: 510.2092 - logits_profile_predictions_loss: 504.1630 - logcount_predictions_loss: 0.6718 367/2101 [====>.........................] - ETA: 4:23 - loss: 510.2114 - logits_profile_predictions_loss: 504.1652 - logcount_predictions_loss: 0.6718 368/2101 [====>.........................] - ETA: 4:23 - loss: 510.2138 - 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[====>.........................] - ETA: 4:22 - loss: 510.2287 - logits_profile_predictions_loss: 504.1816 - logcount_predictions_loss: 0.6719 376/2101 [====>.........................] - ETA: 4:22 - loss: 510.2301 - logits_profile_predictions_loss: 504.1829 - logcount_predictions_loss: 0.6719 377/2101 [====>.........................] - ETA: 4:22 - loss: 510.2315 - logits_profile_predictions_loss: 504.1842 - logcount_predictions_loss: 0.6719 378/2101 [====>.........................] - ETA: 4:22 - loss: 510.2336 - logits_profile_predictions_loss: 504.1862 - logcount_predictions_loss: 0.6719 379/2101 [====>.........................] - ETA: 4:22 - loss: 510.2366 - logits_profile_predictions_loss: 504.1890 - logcount_predictions_loss: 0.6720 380/2101 [====>.........................] - ETA: 4:21 - loss: 510.2401 - logits_profile_predictions_loss: 504.1925 - logcount_predictions_loss: 0.6720 381/2101 [====>.........................] - ETA: 4:21 - loss: 510.2433 - 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[====>.........................] - ETA: 4:20 - loss: 510.2655 - logits_profile_predictions_loss: 504.2170 - logcount_predictions_loss: 0.6721 389/2101 [====>.........................] - ETA: 4:20 - loss: 510.2688 - logits_profile_predictions_loss: 504.2202 - logcount_predictions_loss: 0.6721 390/2101 [====>.........................] - ETA: 4:20 - loss: 510.2715 - logits_profile_predictions_loss: 504.2228 - logcount_predictions_loss: 0.6721 391/2101 [====>.........................] - ETA: 4:20 - loss: 510.2742 - logits_profile_predictions_loss: 504.2254 - logcount_predictions_loss: 0.6721 392/2101 [====>.........................] - ETA: 4:20 - loss: 510.2761 - logits_profile_predictions_loss: 504.2272 - logcount_predictions_loss: 0.6721 393/2101 [====>.........................] - ETA: 4:19 - loss: 510.2781 - logits_profile_predictions_loss: 504.2290 - logcount_predictions_loss: 0.6721 394/2101 [====>.........................] - ETA: 4:19 - loss: 510.2801 - 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[====>.........................] - ETA: 4:18 - loss: 510.2889 - logits_profile_predictions_loss: 504.2393 - logcount_predictions_loss: 0.6722 402/2101 [====>.........................] - ETA: 4:18 - loss: 510.2915 - logits_profile_predictions_loss: 504.2418 - logcount_predictions_loss: 0.6722 403/2101 [====>.........................] - ETA: 4:18 - loss: 510.2938 - logits_profile_predictions_loss: 504.2441 - logcount_predictions_loss: 0.6722 404/2101 [====>.........................] - ETA: 4:18 - loss: 510.2962 - logits_profile_predictions_loss: 504.2464 - logcount_predictions_loss: 0.6722 405/2101 [====>.........................] - ETA: 4:18 - loss: 510.2991 - logits_profile_predictions_loss: 504.2491 - logcount_predictions_loss: 0.6722 406/2101 [====>.........................] - ETA: 4:17 - loss: 510.3019 - logits_profile_predictions_loss: 504.2519 - logcount_predictions_loss: 0.6722 407/2101 [====>.........................] - ETA: 4:17 - loss: 510.3052 - 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[====>.........................] - ETA: 4:16 - loss: 510.3321 - logits_profile_predictions_loss: 504.2814 - logcount_predictions_loss: 0.6723 415/2101 [====>.........................] - ETA: 4:16 - loss: 510.3368 - logits_profile_predictions_loss: 504.2859 - logcount_predictions_loss: 0.6723 416/2101 [====>.........................] - ETA: 4:16 - loss: 510.3415 - logits_profile_predictions_loss: 504.2905 - logcount_predictions_loss: 0.6723 417/2101 [====>.........................] - ETA: 4:16 - loss: 510.3459 - logits_profile_predictions_loss: 504.2947 - logcount_predictions_loss: 0.6724 418/2101 [====>.........................] - ETA: 4:16 - loss: 510.3500 - logits_profile_predictions_loss: 504.2987 - logcount_predictions_loss: 0.6724 419/2101 [====>.........................] - ETA: 4:15 - loss: 510.3542 - logits_profile_predictions_loss: 504.3028 - logcount_predictions_loss: 0.6724 420/2101 [====>.........................] - ETA: 4:15 - loss: 510.3587 - 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[=====>........................] - ETA: 4:14 - loss: 510.3811 - logits_profile_predictions_loss: 504.3284 - logcount_predictions_loss: 0.6725 428/2101 [=====>........................] - ETA: 4:14 - loss: 510.3842 - logits_profile_predictions_loss: 504.3314 - logcount_predictions_loss: 0.6725 429/2101 [=====>........................] - ETA: 4:14 - loss: 510.3870 - logits_profile_predictions_loss: 504.3340 - logcount_predictions_loss: 0.6726 430/2101 [=====>........................] - ETA: 4:14 - loss: 510.3901 - logits_profile_predictions_loss: 504.3370 - logcount_predictions_loss: 0.6726 431/2101 [=====>........................] - ETA: 4:14 - loss: 510.3926 - logits_profile_predictions_loss: 504.3393 - logcount_predictions_loss: 0.6726 432/2101 [=====>........................] - ETA: 4:13 - loss: 510.3955 - logits_profile_predictions_loss: 504.3420 - logcount_predictions_loss: 0.6726 433/2101 [=====>........................] - ETA: 4:13 - loss: 510.3983 - logits_profile_predictions_loss: 504.3447 - logcount_predictions_loss: 0.6726 434/2101 [=====>........................] - ETA: 4:13 - loss: 510.4009 - logits_profile_predictions_loss: 504.3472 - logcount_predictions_loss: 0.6726 435/2101 [=====>........................] - ETA: 4:13 - loss: 510.4040 - logits_profile_predictions_loss: 504.3501 - logcount_predictions_loss: 0.6727 436/2101 [=====>........................] - ETA: 4:13 - loss: 510.4068 - logits_profile_predictions_loss: 504.3527 - logcount_predictions_loss: 0.6727 437/2101 [=====>........................] - ETA: 4:13 - loss: 510.4094 - logits_profile_predictions_loss: 504.3551 - logcount_predictions_loss: 0.6727 438/2101 [=====>........................] - ETA: 4:13 - loss: 510.4120 - logits_profile_predictions_loss: 504.3576 - logcount_predictions_loss: 0.6727 439/2101 [=====>........................] - ETA: 4:12 - loss: 510.4144 - logits_profile_predictions_loss: 504.3598 - logcount_predictions_loss: 0.6727 440/2101 [=====>........................] - ETA: 4:12 - loss: 510.4173 - logits_profile_predictions_loss: 504.3626 - logcount_predictions_loss: 0.6727 441/2101 [=====>........................] - ETA: 4:12 - loss: 510.4204 - logits_profile_predictions_loss: 504.3655 - logcount_predictions_loss: 0.6728 442/2101 [=====>........................] - ETA: 4:12 - loss: 510.4233 - logits_profile_predictions_loss: 504.3683 - logcount_predictions_loss: 0.6728 443/2101 [=====>........................] - ETA: 4:12 - loss: 510.4258 - logits_profile_predictions_loss: 504.3706 - logcount_predictions_loss: 0.6728 444/2101 [=====>........................] - ETA: 4:12 - loss: 510.4285 - logits_profile_predictions_loss: 504.3732 - logcount_predictions_loss: 0.6728 445/2101 [=====>........................] - ETA: 4:12 - loss: 510.4315 - logits_profile_predictions_loss: 504.3761 - logcount_predictions_loss: 0.6728 446/2101 [=====>........................] - ETA: 4:11 - loss: 510.4343 - logits_profile_predictions_loss: 504.3788 - logcount_predictions_loss: 0.6728 447/2101 [=====>........................] - ETA: 4:11 - loss: 510.4365 - logits_profile_predictions_loss: 504.3808 - logcount_predictions_loss: 0.6729 448/2101 [=====>........................] - ETA: 4:11 - loss: 510.4391 - logits_profile_predictions_loss: 504.3832 - logcount_predictions_loss: 0.6729 449/2101 [=====>........................] - ETA: 4:11 - loss: 510.4417 - logits_profile_predictions_loss: 504.3857 - logcount_predictions_loss: 0.6729 450/2101 [=====>........................] - ETA: 4:11 - loss: 510.4445 - logits_profile_predictions_loss: 504.3884 - logcount_predictions_loss: 0.6729 451/2101 [=====>........................] - ETA: 4:11 - loss: 510.4470 - logits_profile_predictions_loss: 504.3907 - logcount_predictions_loss: 0.6729 452/2101 [=====>........................] - ETA: 4:10 - loss: 510.4497 - logits_profile_predictions_loss: 504.3933 - logcount_predictions_loss: 0.6729 453/2101 [=====>........................] - ETA: 4:10 - loss: 510.4527 - logits_profile_predictions_loss: 504.3962 - logcount_predictions_loss: 0.6730 454/2101 [=====>........................] - ETA: 4:10 - loss: 510.4559 - logits_profile_predictions_loss: 504.3993 - logcount_predictions_loss: 0.6730 455/2101 [=====>........................] - ETA: 4:10 - loss: 510.4596 - logits_profile_predictions_loss: 504.4029 - logcount_predictions_loss: 0.6730 456/2101 [=====>........................] - ETA: 4:10 - loss: 510.4630 - logits_profile_predictions_loss: 504.4062 - logcount_predictions_loss: 0.6730 457/2101 [=====>........................] - ETA: 4:10 - loss: 510.4665 - logits_profile_predictions_loss: 504.4095 - logcount_predictions_loss: 0.6730 458/2101 [=====>........................] - ETA: 4:10 - loss: 510.4697 - logits_profile_predictions_loss: 504.4127 - logcount_predictions_loss: 0.6730 459/2101 [=====>........................] - ETA: 4:09 - loss: 510.4725 - 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[..............................] - ETA: 5:15 - loss: 455.2088 - logits_profile_predictions_loss: 450.0134 - logcount_predictions_loss: 0.5773 16/2101 [..............................] - ETA: 5:15 - loss: 456.5202 - logits_profile_predictions_loss: 451.3054 - logcount_predictions_loss: 0.5794 17/2101 [..............................] - ETA: 5:15 - loss: 458.0179 - logits_profile_predictions_loss: 452.7814 - logcount_predictions_loss: 0.5818 18/2101 [..............................] - ETA: 5:15 - loss: 459.4832 - logits_profile_predictions_loss: 454.2287 - logcount_predictions_loss: 0.5838 19/2101 [..............................] - ETA: 5:14 - loss: 460.7882 - logits_profile_predictions_loss: 455.5179 - logcount_predictions_loss: 0.5856 20/2101 [..............................] - ETA: 5:14 - loss: 461.7469 - logits_profile_predictions_loss: 456.4670 - logcount_predictions_loss: 0.5867 21/2101 [..............................] - ETA: 5:14 - loss: 462.8059 - logits_profile_predictions_loss: 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597.84265, saving model to /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1/chrombpnet.h5 +Epoch 6/50 + 1/2101 [..............................] - ETA: 6:08 - loss: 580.0016 - logits_profile_predictions_loss: 573.8236 - logcount_predictions_loss: 0.6864 2/2101 [..............................] - ETA: 5:29 - loss: 551.3969 - logits_profile_predictions_loss: 545.5727 - logcount_predictions_loss: 0.6471 3/2101 [..............................] - ETA: 5:23 - loss: 540.3874 - logits_profile_predictions_loss: 534.6132 - logcount_predictions_loss: 0.6416 4/2101 [..............................] - ETA: 5:21 - loss: 533.1020 - logits_profile_predictions_loss: 527.1989 - logcount_predictions_loss: 0.6559 5/2101 [..............................] - ETA: 5:20 - loss: 529.1811 - logits_profile_predictions_loss: 523.2126 - logcount_predictions_loss: 0.6632 6/2101 [..............................] - ETA: 5:20 - loss: 525.5601 - 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[====>.........................] - ETA: 4:18 - loss: 502.2238 - logits_profile_predictions_loss: 496.4488 - logcount_predictions_loss: 0.6417 399/2101 [====>.........................] - ETA: 4:18 - loss: 502.2222 - logits_profile_predictions_loss: 496.4474 - logcount_predictions_loss: 0.6417 400/2101 [====>.........................] - ETA: 4:18 - loss: 502.2209 - logits_profile_predictions_loss: 496.4462 - logcount_predictions_loss: 0.6416 401/2101 [====>.........................] - ETA: 4:18 - loss: 502.2188 - logits_profile_predictions_loss: 496.4443 - logcount_predictions_loss: 0.6416 402/2101 [====>.........................] - ETA: 4:18 - loss: 502.2170 - logits_profile_predictions_loss: 496.4427 - logcount_predictions_loss: 0.6416 403/2101 [====>.........................] - ETA: 4:18 - loss: 502.2155 - logits_profile_predictions_loss: 496.4414 - logcount_predictions_loss: 0.6416 404/2101 [====>.........................] - ETA: 4:18 - loss: 502.2143 - 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[====>.........................] - ETA: 4:17 - loss: 502.2154 - logits_profile_predictions_loss: 496.4429 - logcount_predictions_loss: 0.6414 412/2101 [====>.........................] - ETA: 4:16 - loss: 502.2160 - logits_profile_predictions_loss: 496.4436 - logcount_predictions_loss: 0.6414 413/2101 [====>.........................] - ETA: 4:16 - loss: 502.2160 - logits_profile_predictions_loss: 496.4438 - logcount_predictions_loss: 0.6414 414/2101 [====>.........................] - ETA: 4:16 - loss: 502.2156 - logits_profile_predictions_loss: 496.4436 - logcount_predictions_loss: 0.6413 415/2101 [====>.........................] - ETA: 4:16 - loss: 502.2154 - logits_profile_predictions_loss: 496.4436 - logcount_predictions_loss: 0.6413 416/2101 [====>.........................] - ETA: 4:16 - loss: 502.2153 - logits_profile_predictions_loss: 496.4437 - logcount_predictions_loss: 0.6413 417/2101 [====>.........................] - ETA: 4:16 - loss: 502.2149 - 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[=====>........................] - ETA: 4:15 - loss: 502.2150 - logits_profile_predictions_loss: 496.4451 - logcount_predictions_loss: 0.6411 425/2101 [=====>........................] - ETA: 4:14 - loss: 502.2156 - logits_profile_predictions_loss: 496.4459 - logcount_predictions_loss: 0.6411 426/2101 [=====>........................] - ETA: 4:14 - loss: 502.2157 - logits_profile_predictions_loss: 496.4462 - logcount_predictions_loss: 0.6411 427/2101 [=====>........................] - ETA: 4:14 - loss: 502.2161 - logits_profile_predictions_loss: 496.4468 - logcount_predictions_loss: 0.6410 428/2101 [=====>........................] - ETA: 4:14 - loss: 502.2165 - logits_profile_predictions_loss: 496.4474 - logcount_predictions_loss: 0.6410 429/2101 [=====>........................] - ETA: 4:14 - loss: 502.2171 - logits_profile_predictions_loss: 496.4482 - logcount_predictions_loss: 0.6410 430/2101 [=====>........................] - ETA: 4:14 - loss: 502.2178 - logits_profile_predictions_loss: 496.4491 - logcount_predictions_loss: 0.6410 431/2101 [=====>........................] - ETA: 4:14 - loss: 502.2188 - logits_profile_predictions_loss: 496.4503 - logcount_predictions_loss: 0.6409 432/2101 [=====>........................] - ETA: 4:13 - loss: 502.2196 - logits_profile_predictions_loss: 496.4514 - logcount_predictions_loss: 0.6409 433/2101 [=====>........................] - ETA: 4:13 - loss: 502.2210 - logits_profile_predictions_loss: 496.4530 - logcount_predictions_loss: 0.6409 434/2101 [=====>........................] - ETA: 4:13 - loss: 502.2225 - logits_profile_predictions_loss: 496.4547 - logcount_predictions_loss: 0.6409 435/2101 [=====>........................] - ETA: 4:13 - loss: 502.2235 - logits_profile_predictions_loss: 496.4559 - logcount_predictions_loss: 0.6408 436/2101 [=====>........................] - ETA: 4:13 - loss: 502.2245 - logits_profile_predictions_loss: 496.4571 - logcount_predictions_loss: 0.6408 437/2101 [=====>........................] - ETA: 4:13 - loss: 502.2250 - logits_profile_predictions_loss: 496.4579 - logcount_predictions_loss: 0.6408 438/2101 [=====>........................] - ETA: 4:12 - loss: 502.2254 - logits_profile_predictions_loss: 496.4585 - logcount_predictions_loss: 0.6408 439/2101 [=====>........................] - ETA: 4:12 - loss: 502.2257 - logits_profile_predictions_loss: 496.4590 - logcount_predictions_loss: 0.6407 440/2101 [=====>........................] - ETA: 4:12 - loss: 502.2258 - logits_profile_predictions_loss: 496.4593 - logcount_predictions_loss: 0.6407 441/2101 [=====>........................] - ETA: 4:12 - loss: 502.2261 - logits_profile_predictions_loss: 496.4599 - logcount_predictions_loss: 0.6407 442/2101 [=====>........................] - ETA: 4:12 - loss: 502.2267 - logits_profile_predictions_loss: 496.4606 - logcount_predictions_loss: 0.6407 443/2101 [=====>........................] - ETA: 4:12 - loss: 502.2274 - 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[==============================] - 339s 161ms/step - loss: 501.3498 - logits_profile_predictions_loss: 495.6888 - logcount_predictions_loss: 0.6290 - val_loss: 600.4294 - val_logits_profile_predictions_loss: 595.1778 - val_logcount_predictions_loss: 0.5834 + +Epoch 00006: val_loss did not improve from 597.84265 +Epoch 7/50 + 1/2101 [..............................] - ETA: 6:18 - loss: 468.8840 - logits_profile_predictions_loss: 463.8652 - logcount_predictions_loss: 0.5577 2/2101 [..............................] - ETA: 5:22 - loss: 491.7347 - logits_profile_predictions_loss: 486.5817 - logcount_predictions_loss: 0.5726 3/2101 [..............................] - ETA: 5:20 - loss: 477.1969 - logits_profile_predictions_loss: 472.2999 - logcount_predictions_loss: 0.5441 4/2101 [..............................] - ETA: 5:18 - loss: 470.7781 - logits_profile_predictions_loss: 465.9413 - logcount_predictions_loss: 0.5374 5/2101 [..............................] - ETA: 5:18 - loss: 468.0513 - 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[..............................] - ETA: 5:16 - loss: 462.1896 - logits_profile_predictions_loss: 457.2028 - logcount_predictions_loss: 0.5541 13/2101 [..............................] - ETA: 5:16 - loss: 462.1325 - logits_profile_predictions_loss: 457.1376 - logcount_predictions_loss: 0.5550 14/2101 [..............................] - ETA: 5:16 - loss: 462.2549 - logits_profile_predictions_loss: 457.2518 - logcount_predictions_loss: 0.5559 15/2101 [..............................] - ETA: 5:15 - loss: 462.4589 - logits_profile_predictions_loss: 457.4534 - logcount_predictions_loss: 0.5562 16/2101 [..............................] - ETA: 5:15 - loss: 462.7266 - logits_profile_predictions_loss: 457.7154 - logcount_predictions_loss: 0.5568 17/2101 [..............................] - ETA: 5:15 - loss: 463.2546 - logits_profile_predictions_loss: 458.2410 - logcount_predictions_loss: 0.5571 18/2101 [..............................] - ETA: 5:15 - loss: 463.6701 - logits_profile_predictions_loss: 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[============================>.] - ETA: 0s - loss: 485.1655 - logits_profile_predictions_loss: 480.3825 - logcount_predictions_loss: 0.5315 2100/2101 [============================>.] - ETA: 0s - loss: 485.1650 - logits_profile_predictions_loss: 480.3820 - logcount_predictions_loss: 0.5315 2101/2101 [==============================] - ETA: 0s - loss: 485.1645 - logits_profile_predictions_loss: 480.3816 - logcount_predictions_loss: 0.5315 2101/2101 [==============================] - 340s 162ms/step - loss: 485.1640 - logits_profile_predictions_loss: 480.3811 - logcount_predictions_loss: 0.5315 - val_loss: 598.2272 - val_logits_profile_predictions_loss: 593.1961 - val_logcount_predictions_loss: 0.5590 + +Epoch 00009: val_loss did not improve from 597.84265 +Epoch 10/50 + 1/2101 [..............................] - ETA: 6:26 - loss: 512.8315 - logits_profile_predictions_loss: 509.3435 - logcount_predictions_loss: 0.3876 2/2101 [..............................] - ETA: 5:45 - loss: 524.9483 - 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[===========================>..] - ETA: 18s - loss: 482.6383 - logits_profile_predictions_loss: 478.0060 - logcount_predictions_loss: 0.5147 1981/2101 [===========================>..] - ETA: 18s - loss: 482.6362 - logits_profile_predictions_loss: 478.0039 - logcount_predictions_loss: 0.5147 1982/2101 [===========================>..] - ETA: 18s - loss: 482.6341 - logits_profile_predictions_loss: 478.0018 - logcount_predictions_loss: 0.5147 1983/2101 [===========================>..] - ETA: 17s - loss: 482.6320 - logits_profile_predictions_loss: 477.9998 - logcount_predictions_loss: 0.5147 1984/2101 [===========================>..] - ETA: 17s - loss: 482.6300 - logits_profile_predictions_loss: 477.9977 - logcount_predictions_loss: 0.5147 1985/2101 [===========================>..] - ETA: 17s - loss: 482.6279 - logits_profile_predictions_loss: 477.9956 - logcount_predictions_loss: 0.5147 1986/2101 [===========================>..] - ETA: 17s - loss: 482.6258 - logits_profile_predictions_loss: 477.9936 - logcount_predictions_loss: 0.5147 1987/2101 [===========================>..] - ETA: 17s - loss: 482.6238 - logits_profile_predictions_loss: 477.9915 - logcount_predictions_loss: 0.5147 1988/2101 [===========================>..] - ETA: 17s - loss: 482.6217 - logits_profile_predictions_loss: 477.9895 - logcount_predictions_loss: 0.5147 1989/2101 [===========================>..] - ETA: 17s - loss: 482.6196 - logits_profile_predictions_loss: 477.9874 - logcount_predictions_loss: 0.5147 1990/2101 [===========================>..] - ETA: 16s - loss: 482.6175 - logits_profile_predictions_loss: 477.9854 - logcount_predictions_loss: 0.5147 1991/2101 [===========================>..] - ETA: 16s - loss: 482.6155 - logits_profile_predictions_loss: 477.9833 - logcount_predictions_loss: 0.5147 1992/2101 [===========================>..] - ETA: 16s - loss: 482.6134 - logits_profile_predictions_loss: 477.9813 - logcount_predictions_loss: 0.5147 1993/2101 [===========================>..] - ETA: 16s - loss: 482.6114 - logits_profile_predictions_loss: 477.9792 - logcount_predictions_loss: 0.5147 1994/2101 [===========================>..] - ETA: 16s - loss: 482.6093 - logits_profile_predictions_loss: 477.9772 - logcount_predictions_loss: 0.5147 1995/2101 [===========================>..] - ETA: 16s - loss: 482.6073 - logits_profile_predictions_loss: 477.9752 - logcount_predictions_loss: 0.5147 1996/2101 [===========================>..] - ETA: 15s - loss: 482.6053 - logits_profile_predictions_loss: 477.9731 - logcount_predictions_loss: 0.5147 1997/2101 [===========================>..] - ETA: 15s - loss: 482.6032 - logits_profile_predictions_loss: 477.9711 - logcount_predictions_loss: 0.5147 1998/2101 [===========================>..] - ETA: 15s - loss: 482.6012 - logits_profile_predictions_loss: 477.9691 - logcount_predictions_loss: 0.5147 1999/2101 [===========================>..] - ETA: 15s - loss: 482.5991 - logits_profile_predictions_loss: 477.9670 - logcount_predictions_loss: 0.5147 2000/2101 [===========================>..] - ETA: 15s - loss: 482.5971 - logits_profile_predictions_loss: 477.9650 - logcount_predictions_loss: 0.5147 2001/2101 [===========================>..] - ETA: 15s - loss: 482.5950 - logits_profile_predictions_loss: 477.9629 - logcount_predictions_loss: 0.5147 2002/2101 [===========================>..] - ETA: 15s - loss: 482.5930 - logits_profile_predictions_loss: 477.9609 - logcount_predictions_loss: 0.5147 2003/2101 [===========================>..] - ETA: 14s - loss: 482.5909 - logits_profile_predictions_loss: 477.9588 - logcount_predictions_loss: 0.5147 2004/2101 [===========================>..] - ETA: 14s - loss: 482.5888 - logits_profile_predictions_loss: 477.9568 - logcount_predictions_loss: 0.5147 2005/2101 [===========================>..] - ETA: 14s - loss: 482.5868 - logits_profile_predictions_loss: 477.9547 - logcount_predictions_loss: 0.5147 2006/2101 [===========================>..] - ETA: 14s - loss: 482.5847 - logits_profile_predictions_loss: 477.9527 - logcount_predictions_loss: 0.5147 2007/2101 [===========================>..] - ETA: 14s - loss: 482.5827 - logits_profile_predictions_loss: 477.9507 - logcount_predictions_loss: 0.5147 2008/2101 [===========================>..] - ETA: 14s - loss: 482.5807 - logits_profile_predictions_loss: 477.9487 - logcount_predictions_loss: 0.5147 2009/2101 [===========================>..] - ETA: 13s - loss: 482.5786 - logits_profile_predictions_loss: 477.9466 - logcount_predictions_loss: 0.5147 2010/2101 [===========================>..] - ETA: 13s - loss: 482.5766 - logits_profile_predictions_loss: 477.9446 - logcount_predictions_loss: 0.5147 2011/2101 [===========================>..] - ETA: 13s - loss: 482.5745 - logits_profile_predictions_loss: 477.9426 - logcount_predictions_loss: 0.5147 2012/2101 [===========================>..] - ETA: 13s - loss: 482.5725 - logits_profile_predictions_loss: 477.9405 - logcount_predictions_loss: 0.5147 2013/2101 [===========================>..] - ETA: 13s - loss: 482.5704 - logits_profile_predictions_loss: 477.9385 - logcount_predictions_loss: 0.5147 2014/2101 [===========================>..] - ETA: 13s - loss: 482.5684 - logits_profile_predictions_loss: 477.9364 - logcount_predictions_loss: 0.5147 2015/2101 [===========================>..] - ETA: 13s - loss: 482.5663 - logits_profile_predictions_loss: 477.9344 - logcount_predictions_loss: 0.5147 2016/2101 [===========================>..] - ETA: 12s - loss: 482.5643 - logits_profile_predictions_loss: 477.9324 - logcount_predictions_loss: 0.5147 2017/2101 [===========================>..] - ETA: 12s - loss: 482.5623 - logits_profile_predictions_loss: 477.9304 - logcount_predictions_loss: 0.5147 2018/2101 [===========================>..] - ETA: 12s - loss: 482.5602 - logits_profile_predictions_loss: 477.9283 - logcount_predictions_loss: 0.5147 2019/2101 [===========================>..] - ETA: 12s - loss: 482.5582 - logits_profile_predictions_loss: 477.9263 - logcount_predictions_loss: 0.5147 2020/2101 [===========================>..] - ETA: 12s - loss: 482.5561 - logits_profile_predictions_loss: 477.9243 - logcount_predictions_loss: 0.5147 2021/2101 [===========================>..] - ETA: 12s - loss: 482.5541 - logits_profile_predictions_loss: 477.9222 - logcount_predictions_loss: 0.5147 2022/2101 [===========================>..] - ETA: 12s - loss: 482.5521 - logits_profile_predictions_loss: 477.9202 - logcount_predictions_loss: 0.5147 2023/2101 [===========================>..] - ETA: 11s - loss: 482.5500 - logits_profile_predictions_loss: 477.9182 - logcount_predictions_loss: 0.5146 2024/2101 [===========================>..] - ETA: 11s - loss: 482.5480 - logits_profile_predictions_loss: 477.9162 - logcount_predictions_loss: 0.5146 2025/2101 [===========================>..] - ETA: 11s - loss: 482.5459 - logits_profile_predictions_loss: 477.9141 - logcount_predictions_loss: 0.5146 2026/2101 [===========================>..] - ETA: 11s - loss: 482.5439 - logits_profile_predictions_loss: 477.9121 - logcount_predictions_loss: 0.5146 2027/2101 [===========================>..] - ETA: 11s - loss: 482.5418 - logits_profile_predictions_loss: 477.9100 - logcount_predictions_loss: 0.5146 2028/2101 [===========================>..] - ETA: 11s - loss: 482.5398 - logits_profile_predictions_loss: 477.9080 - logcount_predictions_loss: 0.5146 2029/2101 [===========================>..] - ETA: 10s - loss: 482.5378 - logits_profile_predictions_loss: 477.9060 - logcount_predictions_loss: 0.5146 2030/2101 [===========================>..] - ETA: 10s - loss: 482.5358 - logits_profile_predictions_loss: 477.9040 - logcount_predictions_loss: 0.5146 2031/2101 [============================>.] - ETA: 10s - loss: 482.5337 - logits_profile_predictions_loss: 477.9020 - logcount_predictions_loss: 0.5146 2032/2101 [============================>.] - ETA: 10s - loss: 482.5317 - logits_profile_predictions_loss: 477.9000 - logcount_predictions_loss: 0.5146 2033/2101 [============================>.] - ETA: 10s - loss: 482.5297 - logits_profile_predictions_loss: 477.8980 - logcount_predictions_loss: 0.5146 2034/2101 [============================>.] - ETA: 10s - loss: 482.5276 - logits_profile_predictions_loss: 477.8959 - logcount_predictions_loss: 0.5146 2035/2101 [============================>.] - ETA: 10s - loss: 482.5256 - logits_profile_predictions_loss: 477.8939 - logcount_predictions_loss: 0.5146 2036/2101 [============================>.] - ETA: 9s - loss: 482.5235 - logits_profile_predictions_loss: 477.8919 - logcount_predictions_loss: 0.5146  2037/2101 [============================>.] - ETA: 9s - loss: 482.5215 - logits_profile_predictions_loss: 477.8898 - logcount_predictions_loss: 0.5146 2038/2101 [============================>.] - ETA: 9s - loss: 482.5195 - logits_profile_predictions_loss: 477.8879 - logcount_predictions_loss: 0.5146 2039/2101 [============================>.] - ETA: 9s - loss: 482.5175 - logits_profile_predictions_loss: 477.8859 - logcount_predictions_loss: 0.5146 2040/2101 [============================>.] - ETA: 9s - loss: 482.5155 - logits_profile_predictions_loss: 477.8839 - logcount_predictions_loss: 0.5146 2041/2101 [============================>.] - ETA: 9s - loss: 482.5135 - logits_profile_predictions_loss: 477.8819 - logcount_predictions_loss: 0.5146 2042/2101 [============================>.] - ETA: 8s - loss: 482.5115 - logits_profile_predictions_loss: 477.8799 - logcount_predictions_loss: 0.5146 2043/2101 [============================>.] - ETA: 8s - loss: 482.5096 - logits_profile_predictions_loss: 477.8780 - logcount_predictions_loss: 0.5146 2044/2101 [============================>.] - ETA: 8s - loss: 482.5076 - logits_profile_predictions_loss: 477.8760 - logcount_predictions_loss: 0.5146 2045/2101 [============================>.] - ETA: 8s - loss: 482.5056 - logits_profile_predictions_loss: 477.8741 - logcount_predictions_loss: 0.5146 2046/2101 [============================>.] - ETA: 8s - loss: 482.5037 - logits_profile_predictions_loss: 477.8721 - logcount_predictions_loss: 0.5146 2047/2101 [============================>.] - ETA: 8s - loss: 482.5017 - logits_profile_predictions_loss: 477.8701 - logcount_predictions_loss: 0.5146 2048/2101 [============================>.] - ETA: 8s - loss: 482.4997 - logits_profile_predictions_loss: 477.8682 - logcount_predictions_loss: 0.5146 2049/2101 [============================>.] - ETA: 7s - loss: 482.4977 - logits_profile_predictions_loss: 477.8662 - logcount_predictions_loss: 0.5146 2050/2101 [============================>.] - ETA: 7s - loss: 482.4958 - logits_profile_predictions_loss: 477.8642 - logcount_predictions_loss: 0.5146 2051/2101 [============================>.] - ETA: 7s - loss: 482.4938 - logits_profile_predictions_loss: 477.8623 - logcount_predictions_loss: 0.5146 2052/2101 [============================>.] - ETA: 7s - loss: 482.4918 - logits_profile_predictions_loss: 477.8603 - logcount_predictions_loss: 0.5146 2053/2101 [============================>.] - ETA: 7s - loss: 482.4899 - logits_profile_predictions_loss: 477.8584 - logcount_predictions_loss: 0.5146 2054/2101 [============================>.] - ETA: 7s - loss: 482.4879 - logits_profile_predictions_loss: 477.8564 - logcount_predictions_loss: 0.5146 2055/2101 [============================>.] - ETA: 6s - loss: 482.4859 - logits_profile_predictions_loss: 477.8545 - logcount_predictions_loss: 0.5146 2056/2101 [============================>.] - ETA: 6s - loss: 482.4840 - logits_profile_predictions_loss: 477.8525 - logcount_predictions_loss: 0.5146 2057/2101 [============================>.] - ETA: 6s - loss: 482.4821 - logits_profile_predictions_loss: 477.8506 - logcount_predictions_loss: 0.5146 2058/2101 [============================>.] - ETA: 6s - loss: 482.4801 - logits_profile_predictions_loss: 477.8487 - logcount_predictions_loss: 0.5146 2059/2101 [============================>.] - ETA: 6s - loss: 482.4782 - logits_profile_predictions_loss: 477.8468 - logcount_predictions_loss: 0.5146 2060/2101 [============================>.] - ETA: 6s - loss: 482.4763 - logits_profile_predictions_loss: 477.8449 - logcount_predictions_loss: 0.5146 2061/2101 [============================>.] - ETA: 6s - loss: 482.4743 - logits_profile_predictions_loss: 477.8429 - logcount_predictions_loss: 0.5146 2062/2101 [============================>.] - ETA: 5s - loss: 482.4724 - logits_profile_predictions_loss: 477.8410 - logcount_predictions_loss: 0.5146 2063/2101 [============================>.] - ETA: 5s - loss: 482.4705 - logits_profile_predictions_loss: 477.8391 - logcount_predictions_loss: 0.5146 2064/2101 [============================>.] - ETA: 5s - loss: 482.4685 - logits_profile_predictions_loss: 477.8372 - logcount_predictions_loss: 0.5146 2065/2101 [============================>.] - ETA: 5s - loss: 482.4666 - logits_profile_predictions_loss: 477.8353 - logcount_predictions_loss: 0.5146 2066/2101 [============================>.] - ETA: 5s - loss: 482.4647 - logits_profile_predictions_loss: 477.8334 - logcount_predictions_loss: 0.5146 2067/2101 [============================>.] - ETA: 5s - loss: 482.4628 - logits_profile_predictions_loss: 477.8315 - logcount_predictions_loss: 0.5146 2068/2101 [============================>.] - ETA: 5s - loss: 482.4609 - logits_profile_predictions_loss: 477.8296 - logcount_predictions_loss: 0.5146 2069/2101 [============================>.] - ETA: 4s - loss: 482.4590 - logits_profile_predictions_loss: 477.8277 - logcount_predictions_loss: 0.5146 2070/2101 [============================>.] - ETA: 4s - loss: 482.4571 - logits_profile_predictions_loss: 477.8258 - logcount_predictions_loss: 0.5146 2071/2101 [============================>.] - ETA: 4s - loss: 482.4552 - logits_profile_predictions_loss: 477.8239 - logcount_predictions_loss: 0.5146 2072/2101 [============================>.] - ETA: 4s - loss: 482.4533 - logits_profile_predictions_loss: 477.8220 - logcount_predictions_loss: 0.5146 2073/2101 [============================>.] - ETA: 4s - loss: 482.4514 - logits_profile_predictions_loss: 477.8201 - logcount_predictions_loss: 0.5146 2074/2101 [============================>.] - ETA: 4s - loss: 482.4495 - logits_profile_predictions_loss: 477.8183 - logcount_predictions_loss: 0.5146 2075/2101 [============================>.] - ETA: 3s - loss: 482.4476 - logits_profile_predictions_loss: 477.8164 - logcount_predictions_loss: 0.5146 2076/2101 [============================>.] - ETA: 3s - loss: 482.4457 - logits_profile_predictions_loss: 477.8145 - logcount_predictions_loss: 0.5146 2077/2101 [============================>.] - ETA: 3s - loss: 482.4438 - logits_profile_predictions_loss: 477.8126 - logcount_predictions_loss: 0.5146 2078/2101 [============================>.] - ETA: 3s - loss: 482.4419 - logits_profile_predictions_loss: 477.8107 - logcount_predictions_loss: 0.5146 2079/2101 [============================>.] - ETA: 3s - loss: 482.4400 - logits_profile_predictions_loss: 477.8088 - logcount_predictions_loss: 0.5146 2080/2101 [============================>.] - ETA: 3s - loss: 482.4380 - logits_profile_predictions_loss: 477.8069 - logcount_predictions_loss: 0.5146 2081/2101 [============================>.] - ETA: 3s - loss: 482.4361 - logits_profile_predictions_loss: 477.8050 - logcount_predictions_loss: 0.5146 2082/2101 [============================>.] - ETA: 2s - loss: 482.4342 - logits_profile_predictions_loss: 477.8031 - logcount_predictions_loss: 0.5146 2083/2101 [============================>.] - ETA: 2s - loss: 482.4323 - logits_profile_predictions_loss: 477.8012 - logcount_predictions_loss: 0.5146 2084/2101 [============================>.] - ETA: 2s - loss: 482.4304 - logits_profile_predictions_loss: 477.7993 - logcount_predictions_loss: 0.5146 2085/2101 [============================>.] - ETA: 2s - loss: 482.4285 - logits_profile_predictions_loss: 477.7974 - logcount_predictions_loss: 0.5146 2086/2101 [============================>.] - ETA: 2s - loss: 482.4266 - logits_profile_predictions_loss: 477.7956 - logcount_predictions_loss: 0.5146 2087/2101 [============================>.] - ETA: 2s - loss: 482.4247 - logits_profile_predictions_loss: 477.7937 - logcount_predictions_loss: 0.5146 2088/2101 [============================>.] - ETA: 1s - loss: 482.4229 - logits_profile_predictions_loss: 477.7918 - logcount_predictions_loss: 0.5146 2089/2101 [============================>.] - ETA: 1s - loss: 482.4210 - logits_profile_predictions_loss: 477.7900 - logcount_predictions_loss: 0.5146 2090/2101 [============================>.] - ETA: 1s - loss: 482.4191 - logits_profile_predictions_loss: 477.7881 - logcount_predictions_loss: 0.5146 2091/2101 [============================>.] - ETA: 1s - loss: 482.4172 - logits_profile_predictions_loss: 477.7863 - logcount_predictions_loss: 0.5146 2092/2101 [============================>.] - ETA: 1s - loss: 482.4154 - logits_profile_predictions_loss: 477.7844 - logcount_predictions_loss: 0.5146 2093/2101 [============================>.] - ETA: 1s - loss: 482.4135 - logits_profile_predictions_loss: 477.7825 - logcount_predictions_loss: 0.5146 2094/2101 [============================>.] - ETA: 1s - loss: 482.4116 - logits_profile_predictions_loss: 477.7807 - logcount_predictions_loss: 0.5145 2095/2101 [============================>.] - ETA: 0s - loss: 482.4098 - logits_profile_predictions_loss: 477.7789 - logcount_predictions_loss: 0.5145 2096/2101 [============================>.] - ETA: 0s - loss: 482.4079 - logits_profile_predictions_loss: 477.7771 - logcount_predictions_loss: 0.5145 2097/2101 [============================>.] - ETA: 0s - loss: 482.4061 - logits_profile_predictions_loss: 477.7752 - logcount_predictions_loss: 0.5145 2098/2101 [============================>.] - ETA: 0s - loss: 482.4043 - logits_profile_predictions_loss: 477.7734 - logcount_predictions_loss: 0.5145 2099/2101 [============================>.] - ETA: 0s - loss: 482.4025 - logits_profile_predictions_loss: 477.7716 - logcount_predictions_loss: 0.5145 2100/2101 [============================>.] - ETA: 0s - loss: 482.4006 - logits_profile_predictions_loss: 477.7698 - logcount_predictions_loss: 0.5145 2101/2101 [==============================] - ETA: 0s - loss: 482.3988 - logits_profile_predictions_loss: 477.7680 - logcount_predictions_loss: 0.5145 2101/2101 [==============================] - 340s 162ms/step - loss: 482.3969 - logits_profile_predictions_loss: 477.7661 - logcount_predictions_loss: 0.5145 - val_loss: 598.4471 - val_logits_profile_predictions_loss: 593.5331 - val_logcount_predictions_loss: 0.5460 + +Epoch 00010: val_loss did not improve from 597.84265 +Restoring model weights from the end of the best epoch. +Epoch 00010: early stopping +save model +save model without bias +2022-10-06_07-44-31: 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=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/bigWigs/ENCSR121BSW.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet.h5 +got the model +loading peaks... +got split:test for bed regions:(34789, 10) +loading nonpeaks... +got split:test for bed regions:(35269, 10) +0/274 +100/274 +200/274 +2022-10-06_07-48-05: 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=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/bigWigs/ENCSR121BSW.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet_wo_bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet_wo_bias.h5 +got the model +loading peaks... +got split:test for bed regions:(34789, 10) +loading nonpeaks... +got split:test for bed regions:(35269, 10) +0/274 +100/274 +200/274 +2022-10-06_07-51-26: 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=/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/DNASE//ENCSR121BSW//preprocessing/bigWigs/ENCSR121BSW.bigWig \ + --peaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.peaks.bed \ + --nonpeaks=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + --chr_fold_path=/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_1.json \ + --inputlen=2114 \ + --outputlen=1000 \ + --output_prefix=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//bias \ + --batch_size=256 \ + --model_h5=/scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//bias_model_scaled.h5 +got the model +loading peaks... +got split:test for bed regions:(34789, 10) +loading nonpeaks... +got split:test for bed regions:(35269, 10) +0/274 +100/274 +200/274 +2022-10-06_07-53-51: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//footprints +2022-10-06_07-53-51: 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/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//chrombpnet_wo_bias.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//footprints/corrected \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + 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: dnase_1 +TTTACAAGTCCA + 1/33 [..............................] - ETA: 3:29 3/33 [=>............................] - ETA: 10s  4/33 [==>...........................] - ETA: 12s 5/33 [===>..........................] - ETA: 13s 6/33 [====>.........................] - ETA: 14s 7/33 [=====>........................] - ETA: 14s 8/33 [======>.......................] - ETA: 14s 9/33 [=======>......................] - ETA: 13s 10/33 [========>.....................] - ETA: 13s 11/33 [=========>....................] - ETA: 13s 12/33 [=========>....................] - ETA: 12s 13/33 [==========>...................] - ETA: 12s 14/33 [===========>..................] - ETA: 11s 15/33 [============>.................] - ETA: 10s 16/33 [=============>................] - ETA: 10s 17/33 [==============>...............] - ETA: 9s  18/33 [===============>..............] - ETA: 9s 19/33 [================>.............] - ETA: 8s 20/33 [=================>............] - ETA: 8s 21/33 [==================>...........] - ETA: 7s 22/33 [===================>..........] - ETA: 6s 23/33 [===================>..........] - ETA: 6s 24/33 [====================>.........] - ETA: 5s 25/33 [=====================>........] - ETA: 5s 26/33 [======================>.......] - ETA: 4s 27/33 [=======================>......] - ETA: 3s 28/33 [========================>.....] - ETA: 3s 29/33 [=========================>....] - ETA: 2s 30/33 [==========================>...] - ETA: 1s 31/33 [===========================>..] - ETA: 1s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 30s 743ms/step + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 20s 3/33 [=>............................] - ETA: 19s 4/33 [==>...........................] - ETA: 19s 5/33 [===>..........................] - ETA: 18s 6/33 [====>.........................] - ETA: 17s 7/33 [=====>........................] - ETA: 17s 8/33 [======>.......................] - ETA: 16s 9/33 [=======>......................] - ETA: 15s 10/33 [========>.....................] - ETA: 15s 11/33 [=========>....................] - ETA: 14s 12/33 [=========>....................] - ETA: 13s 13/33 [==========>...................] - ETA: 13s 14/33 [===========>..................] - ETA: 12s 15/33 [============>.................] - ETA: 11s 16/33 [=============>................] - ETA: 11s 17/33 [==============>...............] - ETA: 10s 18/33 [===============>..............] - ETA: 9s  19/33 [================>.............] - ETA: 9s 20/33 [=================>............] - ETA: 8s 21/33 [==================>...........] - ETA: 7s 22/33 [===================>..........] - ETA: 7s 23/33 [===================>..........] - ETA: 6s 24/33 [====================>.........] - ETA: 5s 25/33 [=====================>........] - ETA: 5s 26/33 [======================>.......] - ETA: 4s 27/33 [=======================>......] - ETA: 3s 28/33 [========================>.....] - ETA: 3s 29/33 [=========================>....] - ETA: 2s 30/33 [==========================>...] - ETA: 1s 31/33 [===========================>..] - ETA: 1s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 21s 665ms/step +inserting motif: dnase_2 +TGTACTTACGAA + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 20s 3/33 [=>............................] - ETA: 19s 4/33 [==>...........................] - ETA: 19s 5/33 [===>..........................] - ETA: 18s 6/33 [====>.........................] - ETA: 17s 7/33 [=====>........................] - ETA: 17s 8/33 [======>.......................] - ETA: 16s 9/33 [=======>......................] - ETA: 15s 10/33 [========>.....................] - ETA: 15s 11/33 [=========>....................] - ETA: 14s 12/33 [=========>....................] - ETA: 13s 13/33 [==========>...................] - ETA: 13s 14/33 [===========>..................] - ETA: 12s 15/33 [============>.................] - ETA: 11s 16/33 [=============>................] - ETA: 11s 17/33 [==============>...............] - ETA: 10s 18/33 [===============>..............] - ETA: 9s  19/33 [================>.............] - ETA: 9s 20/33 [=================>............] - ETA: 8s 21/33 [==================>...........] - ETA: 7s 22/33 [===================>..........] - ETA: 7s 23/33 [===================>..........] - ETA: 6s 24/33 [====================>.........] - ETA: 5s 25/33 [=====================>........] - ETA: 5s 26/33 [======================>.......] - ETA: 4s 27/33 [=======================>......] - ETA: 3s 28/33 [========================>.....] - ETA: 3s 29/33 [=========================>....] - ETA: 2s 30/33 [==========================>...] - ETA: 1s 31/33 [===========================>..] - ETA: 1s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 21s 665ms/step + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 20s 3/33 [=>............................] - ETA: 19s 4/33 [==>...........................] - ETA: 19s 5/33 [===>..........................] - ETA: 18s 6/33 [====>.........................] - ETA: 17s 7/33 [=====>........................] - ETA: 17s 8/33 [======>.......................] - ETA: 16s 9/33 [=======>......................] - ETA: 15s 10/33 [========>.....................] - ETA: 15s 11/33 [=========>....................] - ETA: 14s 12/33 [=========>....................] - ETA: 13s 13/33 [==========>...................] - ETA: 13s 14/33 [===========>..................] - ETA: 12s 15/33 [============>.................] - ETA: 11s 16/33 [=============>................] - ETA: 11s 17/33 [==============>...............] - ETA: 10s 18/33 [===============>..............] - ETA: 9s  19/33 [================>.............] - ETA: 9s 20/33 [=================>............] - ETA: 8s 21/33 [==================>...........] - ETA: 7s 22/33 [===================>..........] - ETA: 7s 23/33 [===================>..........] - ETA: 6s 24/33 [====================>.........] - ETA: 5s 25/33 [=====================>........] - ETA: 5s 26/33 [======================>.......] - ETA: 4s 27/33 [=======================>......] - ETA: 3s 28/33 [========================>.....] - ETA: 3s 29/33 [=========================>....] - ETA: 2s 30/33 [==========================>...] - ETA: 1s 31/33 [===========================>..] - ETA: 1s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 21s 665ms/step +Saving marginal footprints +2022-10-06_07-55-47: mkdir /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//footprints +2022-10-06_07-55-47: 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/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//filtered.nonpeaks.bed \ + -chr chr1 \ + -m /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//bias_model_scaled.h5 \ + -bs 512 \ + -o /scratch/groups/akundaje/anusri/chromatin_atlas/DNASE/ENCSR121BSW//chrombppnet_model_encsr283tme_bias_fold_1//footprints/bias \ + -pwm_f src/evaluation/marginal_footprints/motif_to_pwm.tsv \ + -mo dnase_1,dnase_2 + 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" +__________________________________________________________________________________________________ +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: dnase_1 +TTTACAAGTCCA + 1/33 [..............................] - ETA: 1:35 3/33 [=>............................] - ETA: 0s  4/33 [==>...........................] - ETA: 1s 5/33 [===>..........................] - ETA: 1s 6/33 [====>.........................] - ETA: 1s 7/33 [=====>........................] - ETA: 1s 8/33 [======>.......................] - ETA: 1s 9/33 [=======>......................] - ETA: 1s 10/33 [========>.....................] - ETA: 1s 11/33 [=========>....................] - ETA: 1s 12/33 [=========>....................] - ETA: 1s 13/33 [==========>...................] - ETA: 1s 14/33 [===========>..................] - ETA: 1s 15/33 [============>.................] - ETA: 0s 16/33 [=============>................] - ETA: 0s 17/33 [==============>...............] - ETA: 0s 18/33 [===============>..............] - ETA: 0s 19/33 [================>.............] - ETA: 0s 20/33 [=================>............] - ETA: 0s 21/33 [==================>...........] - ETA: 0s 22/33 [===================>..........] - ETA: 0s 23/33 [===================>..........] - ETA: 0s 24/33 [====================>.........] - ETA: 0s 25/33 [=====================>........] - ETA: 0s 26/33 [======================>.......] - ETA: 0s 27/33 [=======================>......] - ETA: 0s 28/33 [========================>.....] - ETA: 0s 29/33 [=========================>....] - ETA: 0s 30/33 [==========================>...] - ETA: 0s 31/33 [===========================>..] - ETA: 0s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 5s 67ms/step + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 1s 3/33 [=>............................] - ETA: 1s 4/33 [==>...........................] - ETA: 1s 5/33 [===>..........................] - ETA: 1s 6/33 [====>.........................] - ETA: 1s 7/33 [=====>........................] - ETA: 1s 8/33 [======>.......................] - ETA: 1s 9/33 [=======>......................] - ETA: 1s 10/33 [========>.....................] - ETA: 1s 11/33 [=========>....................] - ETA: 1s 12/33 [=========>....................] - ETA: 1s 13/33 [==========>...................] - ETA: 1s 14/33 [===========>..................] - ETA: 1s 15/33 [============>.................] - ETA: 1s 16/33 [=============>................] - ETA: 0s 17/33 [==============>...............] - ETA: 0s 18/33 [===============>..............] - ETA: 0s 19/33 [================>.............] - ETA: 0s 20/33 [=================>............] - ETA: 0s 21/33 [==================>...........] - ETA: 0s 22/33 [===================>..........] - ETA: 0s 23/33 [===================>..........] - ETA: 0s 24/33 [====================>.........] - ETA: 0s 25/33 [=====================>........] - ETA: 0s 26/33 [======================>.......] - ETA: 0s 27/33 [=======================>......] - ETA: 0s 28/33 [========================>.....] - ETA: 0s 29/33 [=========================>....] - ETA: 0s 30/33 [==========================>...] - ETA: 0s 31/33 [===========================>..] - ETA: 0s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 2s 57ms/step +inserting motif: dnase_2 +TGTACTTACGAA + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 1s 3/33 [=>............................] - ETA: 1s 4/33 [==>...........................] - ETA: 1s 5/33 [===>..........................] - ETA: 1s 6/33 [====>.........................] - ETA: 1s 7/33 [=====>........................] - ETA: 1s 8/33 [======>.......................] - ETA: 1s 9/33 [=======>......................] - ETA: 1s 10/33 [========>.....................] - ETA: 1s 11/33 [=========>....................] - ETA: 1s 12/33 [=========>....................] - ETA: 1s 13/33 [==========>...................] - ETA: 1s 14/33 [===========>..................] - ETA: 1s 15/33 [============>.................] - ETA: 1s 16/33 [=============>................] - ETA: 0s 17/33 [==============>...............] - ETA: 0s 18/33 [===============>..............] - ETA: 0s 19/33 [================>.............] - ETA: 0s 20/33 [=================>............] - ETA: 0s 21/33 [==================>...........] - ETA: 0s 22/33 [===================>..........] - ETA: 0s 23/33 [===================>..........] - ETA: 0s 24/33 [====================>.........] - ETA: 0s 25/33 [=====================>........] - ETA: 0s 26/33 [======================>.......] - ETA: 0s 27/33 [=======================>......] - ETA: 0s 28/33 [========================>.....] - ETA: 0s 29/33 [=========================>....] - ETA: 0s 30/33 [==========================>...] - ETA: 0s 31/33 [===========================>..] - ETA: 0s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 2s 57ms/step + 1/33 [..............................] - ETA: 0s 2/33 [>.............................] - ETA: 1s 3/33 [=>............................] - ETA: 1s 4/33 [==>...........................] - ETA: 1s 5/33 [===>..........................] - ETA: 1s 6/33 [====>.........................] - ETA: 1s 7/33 [=====>........................] - ETA: 1s 8/33 [======>.......................] - ETA: 1s 9/33 [=======>......................] - ETA: 1s 10/33 [========>.....................] - ETA: 1s 11/33 [=========>....................] - ETA: 1s 12/33 [=========>....................] - ETA: 1s 13/33 [==========>...................] - ETA: 1s 14/33 [===========>..................] - ETA: 1s 15/33 [============>.................] - ETA: 1s 16/33 [=============>................] - ETA: 0s 17/33 [==============>...............] - ETA: 0s 18/33 [===============>..............] - ETA: 0s 19/33 [================>.............] - ETA: 0s 20/33 [=================>............] - ETA: 0s 21/33 [==================>...........] - ETA: 0s 22/33 [===================>..........] - ETA: 0s 23/33 [===================>..........] - ETA: 0s 24/33 [====================>.........] - ETA: 0s 25/33 [=====================>........] - ETA: 0s 26/33 [======================>.......] - ETA: 0s 27/33 [=======================>......] - ETA: 0s 28/33 [========================>.....] - ETA: 0s 29/33 [=========================>....] - ETA: 0s 30/33 [==========================>...] - ETA: 0s 31/33 [===========================>..] - ETA: 0s 32/33 [============================>.] - ETA: 0s 33/33 [==============================] - ETA: 0s 33/33 [==============================] - 2s 57ms/step +Saving marginal footprints