| { |
| "data": { |
| "complete_dataset": { |
| "alleles": 80, |
| "human_alleles": 72, |
| "murine_alleles": 8, |
| "rows": 134281 |
| }, |
| "dataset": "Jensen et al. 2018 / NetMHCIIpan-3.2 binding folds", |
| "fold": 1, |
| "fold1_evaluation": { |
| "binders_at_label_gt_0_426": 11013, |
| "output_sha256": "d618276772b11fa4664b1091d7e72f4f8e191da813a326e6955671827dd83b72", |
| "rows": 27332, |
| "source_sha256": "5b3af3434de6417845166622cb47a6d00caf2797cdc4a3035a36f35ae8d6e8b7" |
| }, |
| "fold1_training": { |
| "binders_at_label_gt_0_426": 44869, |
| "output_sha256": "1d4b01ae811e8a2173cf7bd8382929b28b52b671463037fc78807d026c550b81", |
| "rows": 106949, |
| "source_sha256": "d4b1b37dbec1282b1f7a2a5c90bff75cf3605572ea059f94613236ac8da0fb97" |
| }, |
| "peptide_length_max": 37, |
| "peptide_length_min": 9, |
| "source_url": "https://services.healthtech.dtu.dk/services/NetMHCIIpan-3.2/", |
| "train_evaluation_peptide_overlap": 0, |
| "train_evaluation_truncated_peptide_overlap": 0 |
| }, |
| "environment": { |
| "device": "mps", |
| "numpy": "1.26.4", |
| "operating_system": "macOS-26.5.2-arm64-arm-64bit", |
| "pandas": "2.3.3", |
| "python": "3.10.18", |
| "scikit_learn": "1.7.2", |
| "scipy": "1.15.3", |
| "tape_proteins": "0.5", |
| "torch": "2.5.1" |
| }, |
| "model": { |
| "base_config_sha256": "b1043278f65cd59bbfa80bc4a93b9aff858abf099ee9121c17e754306dd3b2dc", |
| "base_weights_sha256": "670a46746658433931fe81b2be745247704106d7bf2389df2cd651a6367c1e9a", |
| "original_best_model_pt_sha256": "3e8d4eb578578165a35010f8bcd3cd7390a1d022e93e6bca4140566d4ef7f87c", |
| "parameter_count": 92356612, |
| "source_code_revision": "b30b009d9a45841e2be528af647e4166276aa55b", |
| "tensor_count": 205 |
| }, |
| "protocol": { |
| "batch_size": 64, |
| "early_stopping_patience": 5, |
| "epochs_completed": 15, |
| "epochs_requested": 30, |
| "evaluation_batch_size": 128, |
| "gradient_clip_norm": 0.5, |
| "initial_learning_rate": 0.15, |
| "loss": "mse_on_sigmoid_binding_score", |
| "momentum": 0.9, |
| "nesterov": true, |
| "optimizer": "sgd", |
| "peptide_encoding_length": 24, |
| "pooling": "mean_over_non_padding_tokens", |
| "scheduler": "reduce_lr_on_plateau_on_evaluation_auroc", |
| "scheduler_factor": 0.1, |
| "scheduler_patience": 2, |
| "seed": 1111, |
| "weight_decay": 0.0 |
| }, |
| "release": { |
| "created": "2026-08-27", |
| "repo_id": "zmactep/bertmhc", |
| "version": "1.0.0", |
| "weights_license": "CC-BY-NC-4.0" |
| } |
| } |
|
|
|
|
