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PIVOT

PyTorch
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biology
single-cell
perturbation-prediction
flow-matching
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PIVOT
File size: 1,159 Bytes
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{
  "protocol": "split-first-v1",
  "config": {
    "d_pert": 16,
    "hidden": 64,
    "depth": 2,
    "epochs": 2,
    "batch_size": 64,
    "lr": 0.001,
    "weight_decay": 1e-05,
    "lam_tan": 1.0,
    "lam_semi": 0.5,
    "lam_reg": 0.0001,
    "lam_dist": 0.0,
    "n_dist_perts": 4,
    "dist_n": 64,
    "grad_clip": 5.0,
    "match": "random",
    "rep_mode": "gene_op",
    "seed": 0,
    "device": "cpu",
    "threads": 4,
    "endpoint_weight": 0.0
  },
  "history": [
    {
      "epoch": 0,
      "validation_mse": 0.15263483114540577,
      "map": 3.9591146111488342,
      "tan": 24.06910252571106,
      "semi": 2.5752618526553306e-06,
      "reg": 0.010355364764109254,
      "total": 28.028218746185303
    },
    {
      "epoch": 1,
      "validation_mse": 0.14963708445429802,
      "map": 3.667565017938614,
      "tan": 23.406102418899536,
      "semi": 1.3794184610560478e-05,
      "reg": 0.01302928978111595,
      "total": 27.073675632476807
    }
  ],
  "duration_s": 0.0614291250021779,
  "n_train_cells": 504,
  "n_parameters": 8602,
  "software": {
    "python": "3.12.14",
    "torch": "2.14.0+cpu",
    "numpy": "2.3.5"
  }
}