encode-chrombpnet-DNASE-ENCSR679EFH-ENCSR434QWM / fold_0 /logs.models.fold_0.ENCSR679EFH /logfile.modelling.fold_0.ENCSR679EFH.args.json
| { | |
| "genome": "reference/hg38.genome.fa", | |
| "bigwig": "data/ENCSR679EFH.bigWig", | |
| "peaks": "chrombppnet_model_encsr283tme_bias//filtered.peaks.bed", | |
| "nonpeaks": "chrombppnet_model_encsr283tme_bias//filtered.nonpeaks.bed", | |
| "output_prefix": "chrombppnet_model_encsr283tme_bias//chrombpnet", | |
| "chr_fold_path": "splits/fold_0.json", | |
| "trackables": [ | |
| "logcount_predictions_loss", | |
| "loss", | |
| "logits_profile_predictions_loss", | |
| "val_logcount_predictions_loss", | |
| "val_loss", | |
| "val_logits_profile_predictions_loss" | |
| ], | |
| "epochs": 50, | |
| "early_stop": 5, | |
| "batch_size": 64, | |
| "learning_rate": 0.001, | |
| "params": "chrombppnet_model_encsr283tme_bias//chrombpnet_model_params.tsv", | |
| "seed": 1234, | |
| "architecture_from_file": "/scratch/chrombpnet/src/training/models/chrombpnet_with_bias_model.py" | |
| } |