fold_0/logs.models.fold_0.ENCSR883WDW/logfile.modelling.fold_0.ENCSR883WDW.args.json

{
    "genome": "reference/hg38.genome.fa",
    "bigwig": "data/ENCSR883WDW.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"
}