fold_4/logs.models.fold_4.ENCSR477YSU/logfile.modelling.fold_4.ENCSR477YSU.args.json

{
    "genome": "/scratch/groups/akundaje/anusri/chromatin_atlas/reference/hg38.genome.fa",
    "bigwig": "/oak/stanford/groups/akundaje/projects/chromatin-atlas-2022/ATAC//ENCSR477YSU//preprocessing/bigWigs/ENCSR477YSU.bigWig",
    "peaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR477YSU//chrombpnet_model_feb15_fold_4//filtered.peaks.bed",
    "nonpeaks": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR477YSU//chrombpnet_model_feb15_fold_4//filtered.nonpeaks.bed",
    "output_prefix": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR477YSU//chrombpnet_model_feb15_fold_4//chrombpnet",
    "chr_fold_path": "/scratch/groups/akundaje/anusri/chromatin_atlas/splits/fold_4.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": "/scratch/groups/akundaje/anusri/chromatin_atlas/ATAC/ENCSR477YSU//chrombpnet_model_feb15_fold_4//chrombpnet_model_params.tsv",
    "seed": 1234,
    "architecture_from_file": "/home/users/anusri/chromatin-atlas-anvil/sherlock/chrombpnet/src/training/models/chrombpnet_with_bias_model.py"
}