// ML experiment tracking runs, parameters and metrics (ml-experiment-tracking-runs-parameters-and-metrics) v1 — Prisma seed
// Synthetic sample data, CC0-1.0. Generated deterministically; re-running the
// generator with the same spec and seed reproduces this file exactly.
//
// Delegates are named after the tables (prisma.datasets), which assumes models
// mapped to those table names. Rename the delegates if your models differ.
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient();

async function main() {
    await prisma.datasets.createMany({
        data: [
            { id: 1, registry: "internal", name: "churn features", train_rows: 12000 },
            { id: 2, registry: "internal", name: "ticket texts", train_rows: 30000 },
            { id: 3, registry: "internal", name: "sensor windows", train_rows: 48000 },
            { id: 4, registry: "internal", name: "review snippets", train_rows: 66000 },
            { id: 5, registry: "internal", name: "invoice scans", train_rows: 84000 },
        ],
    });
    await prisma.experiments.createMany({
        data: [
            { id: 1, name: "sweep F", dataset_id: 4, owner: "Tessie", created_on: "2026-03-16" },
            { id: 2, name: "sweep C", dataset_id: 3, owner: "Waylon", created_on: "2026-04-03" },
            { id: 3, name: "sweep D", dataset_id: 3, owner: "Matteo", created_on: "2026-03-13" },
            { id: 4, name: "sweep B", dataset_id: 5, owner: "Brett", created_on: "2026-02-11" },
            { id: 5, name: "sweep A", dataset_id: 3, owner: "Dixie", created_on: "2026-03-09" },
            { id: 6, name: "sweep H", dataset_id: 2, owner: "Gavin", created_on: "2026-04-17" },
            { id: 7, name: "sweep G", dataset_id: 3, owner: "Aubrey", created_on: "2026-02-04" },
            { id: 8, name: "sweep E", dataset_id: 2, owner: "Jevon", created_on: "2026-02-04" },
        ],
    });
    await prisma.runs.createMany({
        data: [
            { id: 1, experiment_id: 7, run_name: "run-f762492c", started_at: new Date("2026-02-09T07:05:00Z"), optimizer: "adam", learning_rate: "0.0005", dropout: "0.22", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 6322, gpu: "T4", git_commit: "fea2dfc9da26e4e8cbec3aca0ee3cef8ec3ba9ba", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 2, experiment_id: 6, run_name: "run-749395c5", started_at: new Date("2026-04-22T09:27:04Z"), optimizer: "adamw", learning_rate: "0.0019", dropout: "0.23", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 54307, gpu: "A10", git_commit: "a6ff5e9ff28eda2a49eab6dbfd01ab62c28ada67", shift_per_lr: 30, loss_shift: "0.0570" },
            { id: 3, experiment_id: 4, run_name: "run-ef156f3d", started_at: new Date("2026-02-15T11:48:37Z"), optimizer: "adamw", learning_rate: "0.0005", dropout: "0.19", per_device_batch: 16, accumulation_steps: 8, effective_batch: "128", seed: 18049, gpu: "T4", git_commit: "75d9c8cbd88aa6a834f54d7d3c6ecdacfbeafbbf", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 4, experiment_id: 2, run_name: "run-5aca8aa6", started_at: new Date("2026-04-25T13:47:47Z"), optimizer: "adamw", learning_rate: "0.0081", dropout: "0.40", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 46289, gpu: "A100", git_commit: "1f2b237648fb22eecdedf8f415bca0bd2fe9cc5a", shift_per_lr: 30, loss_shift: "0.2430" },
            { id: 5, experiment_id: 4, run_name: "run-bd31a5fa", started_at: new Date("2026-02-17T15:17:52Z"), optimizer: "sgd", learning_rate: "0.0009", dropout: "0.01", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 2743, gpu: "A100", git_commit: "1fe72f7746c7c44deaeb6ac4557b8adfeeeca869", shift_per_lr: 30, loss_shift: "0.0270" },
            { id: 6, experiment_id: 7, run_name: "run-cbb8fba2", started_at: new Date("2026-02-12T10:43:51Z"), optimizer: "adamw", learning_rate: "0.0005", dropout: "0.32", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 23036, gpu: "L4", git_commit: "c4afdd16cb050c717bfda8eb0268da8cdf220fbe", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 7, experiment_id: 1, run_name: "run-1c427da9", started_at: new Date("2026-04-06T11:06:01Z"), optimizer: "adam", learning_rate: "0.0062", dropout: "0.33", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 82523, gpu: "A10", git_commit: "ffb8d8ed3c21018fe7f86cdcac6b9deeb527dcd7", shift_per_lr: 30, loss_shift: "0.1860" },
            { id: 8, experiment_id: 4, run_name: "run-b25120e0", started_at: new Date("2026-02-19T14:27:39Z"), optimizer: "sgd", learning_rate: "0.0005", dropout: "0.26", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 64372, gpu: "A10", git_commit: "7c5aeca8196e6e1fe7ab9a64ba68ab667ecb36b0", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 9, experiment_id: 5, run_name: "run-33c9f1cd", started_at: new Date("2026-03-17T18:03:25Z"), optimizer: "adam", learning_rate: "0.0067", dropout: "0.26", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 17024, gpu: "A100", git_commit: "ba16acb26d6cb1c54cede725b8eed937bc16c83e", shift_per_lr: 30, loss_shift: "0.2010" },
            { id: 10, experiment_id: 6, run_name: "run-4e47535a", started_at: new Date("2026-04-27T11:51:50Z"), optimizer: "sgd", learning_rate: "0.0077", dropout: "0.45", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 16199, gpu: "L4", git_commit: "d22dcadc11f49bdf63ad3459be0a46a2daa2dbc7", shift_per_lr: 30, loss_shift: "0.2310" },
            { id: 11, experiment_id: 3, run_name: "run-175231f2", started_at: new Date("2026-03-28T12:01:45Z"), optimizer: "adamw", learning_rate: "0.0023", dropout: "0.09", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 77797, gpu: "A100", git_commit: "3ba5a491dcc0b5afebe15fe5e9ab5d2d9a19b3cc", shift_per_lr: 30, loss_shift: "0.0690" },
            { id: 12, experiment_id: 7, run_name: "run-d1791b3a", started_at: new Date("2026-03-07T10:04:40Z"), optimizer: "adam", learning_rate: "0.0098", dropout: "0.17", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 34906, gpu: "A100", git_commit: "bfa3e90bd08cb50a9a4b34a0d0769ef6eaddb8ce", shift_per_lr: 30, loss_shift: "0.2940" },
            { id: 13, experiment_id: 7, run_name: "run-c7612c9b", started_at: new Date("2026-02-17T07:29:24Z"), optimizer: "adamw", learning_rate: "0.0011", dropout: "0.32", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 47941, gpu: "L4", git_commit: "294af119daba4f7cd6ef9b87f8f7d42bf54a2ca6", shift_per_lr: 30, loss_shift: "0.0330" },
            { id: 14, experiment_id: 1, run_name: "run-3e353c04", started_at: new Date("2026-03-21T10:35:23Z"), optimizer: "sgd", learning_rate: "0.0083", dropout: "0.42", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 95735, gpu: "A10", git_commit: "a4f96d21bcfcef07be3bfc0fc1b61bdc4f752af0", shift_per_lr: 30, loss_shift: "0.2490" },
            { id: 15, experiment_id: 2, run_name: "run-561f4866", started_at: new Date("2026-04-05T10:39:09Z"), optimizer: "sgd", learning_rate: "0.0006", dropout: "0.08", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 62105, gpu: "A100", git_commit: "cec6613a42cec4723eee48feedd16fe3d80bfaed", shift_per_lr: 30, loss_shift: "0.0180" },
            { id: 16, experiment_id: 5, run_name: "run-df5161ae", started_at: new Date("2026-04-10T10:23:09Z"), optimizer: "adamw", learning_rate: "0.0041", dropout: "0.11", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 99840, gpu: "T4", git_commit: "cd2725ac5abc52cdfb2bdf6b8f3434aa9fb6adab", shift_per_lr: 30, loss_shift: "0.1230" },
            { id: 17, experiment_id: 1, run_name: "run-9388dd90", started_at: new Date("2026-04-10T17:09:07Z"), optimizer: "sgd", learning_rate: "0.0028", dropout: "0.13", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 59744, gpu: "T4", git_commit: "0fabd5d3cb6f214fd12bcd88efaa6ddecab9fbcb", shift_per_lr: 30, loss_shift: "0.0840" },
            { id: 18, experiment_id: 4, run_name: "run-878b010e", started_at: new Date("2026-02-13T17:18:27Z"), optimizer: "adamw", learning_rate: "0.0014", dropout: "0.20", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 49147, gpu: "T4", git_commit: "0f63eda8fc9bb9dae5efcb1f31bdbf79a01d9fdc", shift_per_lr: 30, loss_shift: "0.0420" },
            { id: 19, experiment_id: 5, run_name: "run-383dcef9", started_at: new Date("2026-03-14T18:11:30Z"), optimizer: "adam", learning_rate: "0.0082", dropout: "0.10", per_device_batch: 16, accumulation_steps: 8, effective_batch: "128", seed: 33196, gpu: "A100", git_commit: "5993be2192acaad2bcd6fc7693f7beee24c31bda", shift_per_lr: 30, loss_shift: "0.2460" },
            { id: 20, experiment_id: 5, run_name: "run-288616bd", started_at: new Date("2026-03-13T19:19:03Z"), optimizer: "adam", learning_rate: "0.0013", dropout: "0.04", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 58696, gpu: "T4", git_commit: "2ffddbbe5ba32f9e9e633a60aaf8c119edba7ea1", shift_per_lr: 30, loss_shift: "0.0390" },
            { id: 21, experiment_id: 6, run_name: "run-1c2c4aa3", started_at: new Date("2026-05-06T07:36:28Z"), optimizer: "sgd", learning_rate: "0.0069", dropout: "0.34", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 85386, gpu: "T4", git_commit: "f3aa9c95662d3e818e6a4efa6ac2afc7ebe95bbf", shift_per_lr: 30, loss_shift: "0.2070" },
            { id: 22, experiment_id: 5, run_name: "run-bacae38c", started_at: new Date("2026-03-18T14:07:11Z"), optimizer: "adam", learning_rate: "0.0037", dropout: "0.32", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 59412, gpu: "L4", git_commit: "77ccecd554d4ec6a0e6a8dab4acc3eae353af7e3", shift_per_lr: 30, loss_shift: "0.1110" },
            { id: 23, experiment_id: 8, run_name: "run-ef967e8a", started_at: new Date("2026-03-02T16:42:22Z"), optimizer: "adamw", learning_rate: "0.0046", dropout: "0.07", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 86972, gpu: "A10", git_commit: "68ca2abaf2d4db2f1eee5b3d8c9eac348bddcbbb", shift_per_lr: 30, loss_shift: "0.1380" },
            { id: 24, experiment_id: 8, run_name: "run-446f0350", started_at: new Date("2026-02-05T18:32:49Z"), optimizer: "adamw", learning_rate: "0.0005", dropout: "0.26", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 22781, gpu: "A10", git_commit: "84d408dd50e80eca0a0a52eced49adfce92068d4", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 25, experiment_id: 8, run_name: "run-77583f55", started_at: new Date("2026-02-06T10:16:31Z"), optimizer: "adam", learning_rate: "0.0048", dropout: "0.28", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 22339, gpu: "A10", git_commit: "7c32fd0a545b73eda29dc093c0b6f9bc920c7ab6", shift_per_lr: 30, loss_shift: "0.1440" },
            { id: 26, experiment_id: 6, run_name: "run-d2a1a7dc", started_at: new Date("2026-05-02T15:10:12Z"), optimizer: "adamw", learning_rate: "0.0074", dropout: "0.13", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 2608, gpu: "A100", git_commit: "3e1d52dca0a3da09afc8715bf0abc5acb46ef042", shift_per_lr: 30, loss_shift: "0.2220" },
            { id: 27, experiment_id: 8, run_name: "run-b6a89301", started_at: new Date("2026-02-18T08:35:37Z"), optimizer: "sgd", learning_rate: "0.0012", dropout: "0.13", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 59987, gpu: "T4", git_commit: "e1fbddb5b9330fbbde0f4cfe0c71ddeb42f62e18", shift_per_lr: 30, loss_shift: "0.0360" },
            { id: 28, experiment_id: 6, run_name: "run-0175b570", started_at: new Date("2026-05-02T09:21:16Z"), optimizer: "adamw", learning_rate: "0.0028", dropout: "0.23", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 94603, gpu: "A10", git_commit: "94bae1bdade7d5ca4fbcaba04a5e2c3241667f30", shift_per_lr: 30, loss_shift: "0.0840" },
            { id: 29, experiment_id: 8, run_name: "run-4cbda83a", started_at: new Date("2026-02-26T12:18:03Z"), optimizer: "adamw", learning_rate: "0.0008", dropout: "0.12", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 41610, gpu: "A10", git_commit: "dc8743dbfeffbb0a6d0dff6abded78117f6feca7", shift_per_lr: 30, loss_shift: "0.0240" },
            { id: 30, experiment_id: 6, run_name: "run-ed6912ee", started_at: new Date("2026-05-15T10:17:54Z"), optimizer: "adamw", learning_rate: "0.0033", dropout: "0.36", per_device_batch: 16, accumulation_steps: 8, effective_batch: "128", seed: 56338, gpu: "L4", git_commit: "d3e8beefca071c4c5f4e9780eb7df87bfa64955c", shift_per_lr: 30, loss_shift: "0.0990" },
            { id: 31, experiment_id: 7, run_name: "run-d5fe4cb2", started_at: new Date("2026-02-12T15:52:20Z"), optimizer: "adam", learning_rate: "0.0099", dropout: "0.14", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 66038, gpu: "T4", git_commit: "afe261ed4abe6dc1afde3dca3f70d05d6c154be3", shift_per_lr: 30, loss_shift: "0.2970" },
            { id: 32, experiment_id: 8, run_name: "run-7151b871", started_at: new Date("2026-02-20T12:20:36Z"), optimizer: "adamw", learning_rate: "0.0018", dropout: "0.22", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 46782, gpu: "A100", git_commit: "edce715f8e69da21fc754c23f1f60075a2fed9c8", shift_per_lr: 30, loss_shift: "0.0540" },
            { id: 33, experiment_id: 5, run_name: "run-12fa3a3f", started_at: new Date("2026-03-19T22:34:22Z"), optimizer: "adamw", learning_rate: "0.0019", dropout: "0.46", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 5516, gpu: "T4", git_commit: "cb6fe90a93be889f9adf355ede7ad917d4aec2cd", shift_per_lr: 30, loss_shift: "0.0570" },
            { id: 34, experiment_id: 7, run_name: "run-aee3e5d8", started_at: new Date("2026-03-05T15:17:45Z"), optimizer: "adamw", learning_rate: "0.0010", dropout: "0.13", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 22232, gpu: "T4", git_commit: "82ba3ccb0533b69cb8f5c72f004cfa30ccb8d883", shift_per_lr: 30, loss_shift: "0.0300" },
            { id: 35, experiment_id: 3, run_name: "run-9bfb7dc6", started_at: new Date("2026-04-16T17:39:09Z"), optimizer: "adamw", learning_rate: "0.0010", dropout: "0.28", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 69709, gpu: "A100", git_commit: "0a678936c8f4d6b2e4aad881e2d5ffff898090b8", shift_per_lr: 30, loss_shift: "0.0300" },
            { id: 36, experiment_id: 6, run_name: "run-364f06d9", started_at: new Date("2026-05-19T10:08:36Z"), optimizer: "adamw", learning_rate: "0.0016", dropout: "0.40", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 13701, gpu: "L4", git_commit: "cd2b0ddab9adfdfc3b4bed7284c7f1db87222ecb", shift_per_lr: 30, loss_shift: "0.0480" },
            { id: 37, experiment_id: 7, run_name: "run-dd12641d", started_at: new Date("2026-02-12T14:37:10Z"), optimizer: "adam", learning_rate: "0.0053", dropout: "0.12", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 87093, gpu: "T4", git_commit: "7b1aae6af77a3f67dbeeb1369ab5fbcd61d07e2f", shift_per_lr: 30, loss_shift: "0.1590" },
            { id: 38, experiment_id: 4, run_name: "run-13f196fc", started_at: new Date("2026-03-04T14:34:39Z"), optimizer: "sgd", learning_rate: "0.0055", dropout: "0.29", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 99723, gpu: "A10", git_commit: "cc7b1e87448ebde7b7f3a95e0adec212cfce8cc2", shift_per_lr: 30, loss_shift: "0.1650" },
            { id: 39, experiment_id: 2, run_name: "run-82532f2c", started_at: new Date("2026-05-07T14:28:41Z"), optimizer: "adamw", learning_rate: "0.0026", dropout: "0.18", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 3216, gpu: "L4", git_commit: "95ddcd79af00ecf3e4f3cea72e9fdf6ba8ef5bc0", shift_per_lr: 30, loss_shift: "0.0780" },
            { id: 40, experiment_id: 8, run_name: "run-b767f320", started_at: new Date("2026-02-08T06:36:42Z"), optimizer: "adam", learning_rate: "0.0022", dropout: "0.16", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 65822, gpu: "T4", git_commit: "d1fdd3828bb5276cc76038ba7fcdc8ecbe810a1d", shift_per_lr: 30, loss_shift: "0.0660" },
            { id: 41, experiment_id: 8, run_name: "run-c24065e0", started_at: new Date("2026-03-02T11:49:02Z"), optimizer: "adamw", learning_rate: "0.0038", dropout: "0.09", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 17042, gpu: "A10", git_commit: "97dbaacf0fda6a6ca9c91edeb30eda264dc0aaac", shift_per_lr: 30, loss_shift: "0.1140" },
            { id: 42, experiment_id: 7, run_name: "run-d1966e58", started_at: new Date("2026-02-28T09:51:21Z"), optimizer: "adamw", learning_rate: "0.0089", dropout: "0.32", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 87699, gpu: "A10", git_commit: "df7f6adcbd5f643a64ab69a2c77bbd87dbaeeccd", shift_per_lr: 30, loss_shift: "0.2670" },
            { id: 43, experiment_id: 8, run_name: "run-f979ee1f", started_at: new Date("2026-03-04T13:56:03Z"), optimizer: "adam", learning_rate: "0.0041", dropout: "0.11", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 76190, gpu: "L4", git_commit: "d8fbedc1fb0444dc3678ebc366c7bc6b2a0acdc7", shift_per_lr: 30, loss_shift: "0.1230" },
            { id: 44, experiment_id: 7, run_name: "run-c2b0f678", started_at: new Date("2026-03-09T08:49:07Z"), optimizer: "adam", learning_rate: "0.0015", dropout: "0.08", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 73920, gpu: "A10", git_commit: "feded1bc3956dd7223f0de35c85500f9dddfdea5", shift_per_lr: 30, loss_shift: "0.0450" },
            { id: 45, experiment_id: 4, run_name: "run-275ae350", started_at: new Date("2026-02-16T14:14:25Z"), optimizer: "adamw", learning_rate: "0.0013", dropout: "0.06", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 10543, gpu: "T4", git_commit: "46bae984bab0eb5aa3d747060fffcbb3d7e3d299", shift_per_lr: 30, loss_shift: "0.0390" },
            { id: 46, experiment_id: 5, run_name: "run-1919bbff", started_at: new Date("2026-03-22T11:29:56Z"), optimizer: "sgd", learning_rate: "0.0038", dropout: "0.50", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 691, gpu: "A10", git_commit: "24bfecaaace3f3d25dab7cd7cdbbfcf090196f8b", shift_per_lr: 30, loss_shift: "0.1140" },
            { id: 47, experiment_id: 3, run_name: "run-5f764140", started_at: new Date("2026-04-01T11:12:49Z"), optimizer: "adamw", learning_rate: "0.0007", dropout: "0.41", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 21002, gpu: "A10", git_commit: "959b7acc450d33d5f37e122ec21c2d02f4fe31fe", shift_per_lr: 30, loss_shift: "0.0210" },
            { id: 48, experiment_id: 3, run_name: "run-dfb82283", started_at: new Date("2026-04-06T08:11:35Z"), optimizer: "adam", learning_rate: "0.0005", dropout: "0.07", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 38666, gpu: "A10", git_commit: "7c7ab7036cfce091996a2404ed3d59f7cfd485c2", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 49, experiment_id: 6, run_name: "run-988f3be9", started_at: new Date("2026-05-21T16:26:28Z"), optimizer: "sgd", learning_rate: "0.0009", dropout: "0.48", per_device_batch: 16, accumulation_steps: 8, effective_batch: "128", seed: 52422, gpu: "T4", git_commit: "b2dc57ffc4fac42c0af6dfce3ee1598ed115cc22", shift_per_lr: 30, loss_shift: "0.0270" },
            { id: 50, experiment_id: 3, run_name: "run-fca229df", started_at: new Date("2026-04-11T08:06:52Z"), optimizer: "adam", learning_rate: "0.0008", dropout: "0.18", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 46240, gpu: "L4", git_commit: "d5ad15db12ae5dadc5bfad0ecc6c6e997ef2391c", shift_per_lr: 30, loss_shift: "0.0240" },
            { id: 51, experiment_id: 2, run_name: "run-6ac82e02", started_at: new Date("2026-04-10T09:06:14Z"), optimizer: "adamw", learning_rate: "0.0005", dropout: "0.32", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 30562, gpu: "A10", git_commit: "4fb1071ab9ccef3234ecafcc72eec8ef0c356cc9", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 52, experiment_id: 3, run_name: "run-c2a63fae", started_at: new Date("2026-03-13T15:19:39Z"), optimizer: "adamw", learning_rate: "0.0040", dropout: "0.23", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 26875, gpu: "A100", git_commit: "7dafa7d5bfad25f8d4ef727efa5bdffcee1c6a0f", shift_per_lr: 30, loss_shift: "0.1200" },
            { id: 53, experiment_id: 2, run_name: "run-67d5a674", started_at: new Date("2026-04-14T15:12:38Z"), optimizer: "sgd", learning_rate: "0.0011", dropout: "0.00", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 64632, gpu: "L4", git_commit: "f3ef5c9bacaaea75dc031ddfbb925771effe12ea", shift_per_lr: 30, loss_shift: "0.0330" },
            { id: 54, experiment_id: 1, run_name: "run-4743cb5b", started_at: new Date("2026-03-28T10:01:40Z"), optimizer: "adamw", learning_rate: "0.0007", dropout: "0.06", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 9686, gpu: "L4", git_commit: "57ea0818c8a76bcc4aadb65d7e7f9f168bc122ab", shift_per_lr: 30, loss_shift: "0.0210" },
            { id: 55, experiment_id: 4, run_name: "run-2ad082a0", started_at: new Date("2026-02-23T06:42:06Z"), optimizer: "sgd", learning_rate: "0.0069", dropout: "0.23", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 41224, gpu: "A10", git_commit: "8659f6518c80d1bc8cbe62feff70cb6fe5efa4fe", shift_per_lr: 30, loss_shift: "0.2070" },
            { id: 56, experiment_id: 8, run_name: "run-86295aac", started_at: new Date("2026-02-12T17:34:12Z"), optimizer: "adam", learning_rate: "0.0051", dropout: "0.30", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 94597, gpu: "T4", git_commit: "f6eae96aa41f3fc494e0aaf3f86ed7aaae3e9ffa", shift_per_lr: 30, loss_shift: "0.1530" },
            { id: 57, experiment_id: 7, run_name: "run-5a00428b", started_at: new Date("2026-02-21T14:31:27Z"), optimizer: "sgd", learning_rate: "0.0018", dropout: "0.22", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 78524, gpu: "A100", git_commit: "a09c9a9776a0068ee6d1f1bd4ad829f4fdac2fec", shift_per_lr: 30, loss_shift: "0.0540" },
            { id: 58, experiment_id: 3, run_name: "run-369de7c7", started_at: new Date("2026-04-03T15:40:16Z"), optimizer: "adam", learning_rate: "0.0007", dropout: "0.45", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 97327, gpu: "A10", git_commit: "58ff325cc046ec5a5ad2df0a022b4a18909cf969", shift_per_lr: 30, loss_shift: "0.0210" },
            { id: 59, experiment_id: 4, run_name: "run-26c18a70", started_at: new Date("2026-03-03T13:43:23Z"), optimizer: "adamw", learning_rate: "0.0006", dropout: "0.45", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 69266, gpu: "A100", git_commit: "10bf3922ca0d8fdde0b480caa19434f531131e96", shift_per_lr: 30, loss_shift: "0.0180" },
            { id: 60, experiment_id: 1, run_name: "run-8b7c9d0f", started_at: new Date("2026-03-26T18:51:55Z"), optimizer: "adam", learning_rate: "0.0008", dropout: "0.35", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 74903, gpu: "L4", git_commit: "4c79dfa88a04f9e4eb20dbb4090aa7cbb76cefb8", shift_per_lr: 30, loss_shift: "0.0240" },
            { id: 61, experiment_id: 3, run_name: "run-9b585bfa", started_at: new Date("2026-04-13T10:55:32Z"), optimizer: "adamw", learning_rate: "0.0045", dropout: "0.19", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 12957, gpu: "A100", git_commit: "c5eddd03b6434fb706c85bccbd7bf28ecb44ae94", shift_per_lr: 30, loss_shift: "0.1350" },
            { id: 62, experiment_id: 5, run_name: "run-b3ee54c9", started_at: new Date("2026-04-05T15:45:36Z"), optimizer: "adam", learning_rate: "0.0068", dropout: "0.21", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 94436, gpu: "T4", git_commit: "1bd36d13f94ecace6da97bf2eeadccfe61cda8c0", shift_per_lr: 30, loss_shift: "0.2040" },
            { id: 63, experiment_id: 5, run_name: "run-c522b58c", started_at: new Date("2026-03-20T11:30:47Z"), optimizer: "adamw", learning_rate: "0.0028", dropout: "0.49", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 88420, gpu: "A10", git_commit: "2b82b29d8dfe2cca844af9918563ae9cbe022ce0", shift_per_lr: 30, loss_shift: "0.0840" },
            { id: 64, experiment_id: 2, run_name: "run-a9c0f652", started_at: new Date("2026-04-17T16:02:31Z"), optimizer: "adamw", learning_rate: "0.0100", dropout: "0.16", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 17809, gpu: "L4", git_commit: "ab5dc2dc59f9c7cde7ec8fbd3bfc5cde6cc5eeaa", shift_per_lr: 30, loss_shift: "0.3000" },
            { id: 65, experiment_id: 4, run_name: "run-f08e7ca3", started_at: new Date("2026-02-17T14:32:50Z"), optimizer: "adam", learning_rate: "0.0005", dropout: "0.07", per_device_batch: 16, accumulation_steps: 4, effective_batch: "64", seed: 44393, gpu: "T4", git_commit: "9aebe8c21e092da6bad761cd848c083cfe344e1a", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 66, experiment_id: 3, run_name: "run-f0c28fa7", started_at: new Date("2026-03-31T13:52:37Z"), optimizer: "adam", learning_rate: "0.0066", dropout: "0.05", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 53964, gpu: "L4", git_commit: "5d7d44b15cebad71f3cdcbdffe45c56dcfaaad8a", shift_per_lr: 30, loss_shift: "0.1980" },
            { id: 67, experiment_id: 6, run_name: "run-991879fb", started_at: new Date("2026-05-05T18:35:16Z"), optimizer: "adam", learning_rate: "0.0006", dropout: "0.09", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 86441, gpu: "A10", git_commit: "eabf6f8e1b94a418106b7b63cafdfad15aaab1c5", shift_per_lr: 30, loss_shift: "0.0180" },
            { id: 68, experiment_id: 2, run_name: "run-726cfa78", started_at: new Date("2026-05-01T08:34:44Z"), optimizer: "adam", learning_rate: "0.0005", dropout: "0.05", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 48171, gpu: "L4", git_commit: "5dde3979fc3f9fd41e5b9aade78ccfcc0ce6fefc", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 69, experiment_id: 1, run_name: "run-4b510d0d", started_at: new Date("2026-04-17T15:28:18Z"), optimizer: "adamw", learning_rate: "0.0008", dropout: "0.40", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 93734, gpu: "L4", git_commit: "abdcd6cfcb1c48f3e11f76d7267d5a071bfecdac", shift_per_lr: 30, loss_shift: "0.0240" },
            { id: 70, experiment_id: 1, run_name: "run-4131a010", started_at: new Date("2026-04-09T18:34:42Z"), optimizer: "sgd", learning_rate: "0.0049", dropout: "0.05", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 32667, gpu: "L4", git_commit: "0ddd14afaabe0413bfad5abf6667bbe07fff82a6", shift_per_lr: 30, loss_shift: "0.1470" },
            { id: 71, experiment_id: 6, run_name: "run-0f3581d7", started_at: new Date("2026-05-16T18:11:12Z"), optimizer: "adam", learning_rate: "0.0006", dropout: "0.31", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 65932, gpu: "T4", git_commit: "c170258e76edafd9df4fdc90c1bab337dd2fab2a", shift_per_lr: 30, loss_shift: "0.0180" },
            { id: 72, experiment_id: 7, run_name: "run-125aaa9a", started_at: new Date("2026-02-08T12:25:20Z"), optimizer: "adamw", learning_rate: "0.0022", dropout: "0.21", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 68781, gpu: "T4", git_commit: "6ba11bf2ad11ececcbf9deec05ce3fedbdbcbb1f", shift_per_lr: 30, loss_shift: "0.0660" },
            { id: 73, experiment_id: 2, run_name: "run-50938b8b", started_at: new Date("2026-04-14T11:51:28Z"), optimizer: "adamw", learning_rate: "0.0010", dropout: "0.41", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 46385, gpu: "A100", git_commit: "af43b0d0588757d55ed1758db21bbb405dcf2e98", shift_per_lr: 30, loss_shift: "0.0300" },
            { id: 74, experiment_id: 6, run_name: "run-f02a063a", started_at: new Date("2026-04-29T10:01:02Z"), optimizer: "adamw", learning_rate: "0.0005", dropout: "0.43", per_device_batch: 16, accumulation_steps: 3, effective_batch: "48", seed: 95127, gpu: "A10", git_commit: "c6be0998acb880e479fcdbcf5aae2caafc564c68", shift_per_lr: 30, loss_shift: "0.0150" },
            { id: 75, experiment_id: 4, run_name: "run-b8f627f9", started_at: new Date("2026-03-15T20:25:46Z"), optimizer: "adamw", learning_rate: "0.0056", dropout: "0.02", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 29324, gpu: "L4", git_commit: "de475fdcc0a1fca10e7c2eb46cb27a1be5becc58", shift_per_lr: 30, loss_shift: "0.1680" },
            { id: 76, experiment_id: 2, run_name: "run-9eb0ee88", started_at: new Date("2026-04-17T12:05:40Z"), optimizer: "adam", learning_rate: "0.0030", dropout: "0.07", per_device_batch: 16, accumulation_steps: 1, effective_batch: "16", seed: 43347, gpu: "A100", git_commit: "daf230aaac0a3bfab2054cd4df86e05edb1a0d5d", shift_per_lr: 30, loss_shift: "0.0900" },
            { id: 77, experiment_id: 4, run_name: "run-abecd3ba", started_at: new Date("2026-03-15T17:14:47Z"), optimizer: "adam", learning_rate: "0.0028", dropout: "0.08", per_device_batch: 16, accumulation_steps: 6, effective_batch: "96", seed: 3894, gpu: "T4", git_commit: "4ca7ee78fec45fc635fdcfce2fc1fe375d4d8fca", shift_per_lr: 30, loss_shift: "0.0840" },
            { id: 78, experiment_id: 3, run_name: "run-5a8a2477", started_at: new Date("2026-04-02T17:35:13Z"), optimizer: "adamw", learning_rate: "0.0016", dropout: "0.17", per_device_batch: 16, accumulation_steps: 8, effective_batch: "128", seed: 19751, gpu: "A10", git_commit: "adbe3cd17429cb0abde7afd4cff2ede4ccf2f2bc", shift_per_lr: 30, loss_shift: "0.0480" },
            { id: 79, experiment_id: 5, run_name: "run-33e1332d", started_at: new Date("2026-04-02T10:32:44Z"), optimizer: "adam", learning_rate: "0.0046", dropout: "0.18", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 86367, gpu: "A100", git_commit: "7be593a1dfcad6cff856a92b136daa6170bccd2a", shift_per_lr: 30, loss_shift: "0.1380" },
            { id: 80, experiment_id: 1, run_name: "run-994e1ca8", started_at: new Date("2026-04-15T10:51:54Z"), optimizer: "adam", learning_rate: "0.0017", dropout: "0.09", per_device_batch: 16, accumulation_steps: 2, effective_batch: "32", seed: 42028, gpu: "T4", git_commit: "10caeab94d2eaf501b0fbacff31d5bde6466f8ca", shift_per_lr: 30, loss_shift: "0.0510" },
            { id: 81, experiment_id: 2, run_name: "run-accb7df8", started_at: new Date("2026-05-07T16:28:23Z"), optimizer: "adam", learning_rate: "0.0037", dropout: "0.25", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 73518, gpu: "L4", git_commit: "3c22b7f85ef3bcffdb926d391ceccd334c2301cc", shift_per_lr: 30, loss_shift: "0.1110" },
            { id: 82, experiment_id: 3, run_name: "run-a3903174", started_at: new Date("2026-04-09T10:11:05Z"), optimizer: "adamw", learning_rate: "0.0007", dropout: "0.36", per_device_batch: 16, accumulation_steps: 5, effective_batch: "80", seed: 94941, gpu: "T4", git_commit: "878352e6d68c7ff57bf8b3ab097381a7c1794bb0", shift_per_lr: 30, loss_shift: "0.0210" },
            { id: 83, experiment_id: 7, run_name: "run-b620d9a2", started_at: new Date("2026-02-14T11:36:10Z"), optimizer: "sgd", learning_rate: "0.0032", dropout: "0.40", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 56479, gpu: "L4", git_commit: "e5691adbba5e548cc67bd26ea6c2893f702d3beb", shift_per_lr: 30, loss_shift: "0.0960" },
            { id: 84, experiment_id: 1, run_name: "run-fe14006c", started_at: new Date("2026-03-17T14:08:11Z"), optimizer: "sgd", learning_rate: "0.0008", dropout: "0.03", per_device_batch: 16, accumulation_steps: 7, effective_batch: "112", seed: 7180, gpu: "A100", git_commit: "066da08f16dca8acebce70de87b7af9fc2d76fee", shift_per_lr: 30, loss_shift: "0.0240" },
        ],
    });
    await prisma.metric_points.createMany({
        data: [
            { id: 1, run_id: 84, epoch: 1, elapsed_seconds: "93", loss_curve: "2.206", train_loss: "2.230", overfit_gap: "0.045", val_loss: "2.275", acc_curve: "0.405", val_accuracy: "0.381" },
            { id: 2, run_id: 18, epoch: 1, elapsed_seconds: "83", loss_curve: "2.219", train_loss: "2.261", overfit_gap: "0.040", val_loss: "2.301", acc_curve: "0.400", val_accuracy: "0.358" },
            { id: 3, run_id: 32, epoch: 1, elapsed_seconds: "87", loss_curve: "2.241", train_loss: "2.295", overfit_gap: "0.040", val_loss: "2.335", acc_curve: "0.408", val_accuracy: "0.354" },
            { id: 4, run_id: 65, epoch: 1, elapsed_seconds: "94", loss_curve: "2.165", train_loss: "2.180", overfit_gap: "0.027", val_loss: "2.207", acc_curve: "0.382", val_accuracy: "0.367" },
            { id: 5, run_id: 58, epoch: 1, elapsed_seconds: "90", loss_curve: "2.171", train_loss: "2.192", overfit_gap: "0.053", val_loss: "2.245", acc_curve: "0.402", val_accuracy: "0.381" },
            { id: 6, run_id: 10, epoch: 1, elapsed_seconds: "90", loss_curve: "2.183", train_loss: "2.414", overfit_gap: "0.030", val_loss: "2.444", acc_curve: "0.395", val_accuracy: "0.164" },
            { id: 7, run_id: 1, epoch: 1, elapsed_seconds: "94", loss_curve: "2.185", train_loss: "2.200", overfit_gap: "0.042", val_loss: "2.242", acc_curve: "0.393", val_accuracy: "0.378" },
            { id: 8, run_id: 78, epoch: 1, elapsed_seconds: "96", loss_curve: "2.225", train_loss: "2.273", overfit_gap: "0.038", val_loss: "2.311", acc_curve: "0.405", val_accuracy: "0.357" },
            { id: 9, run_id: 12, epoch: 1, elapsed_seconds: "94", loss_curve: "2.194", train_loss: "2.488", overfit_gap: "0.038", val_loss: "2.526", acc_curve: "0.403", val_accuracy: "0.109" },
            { id: 10, run_id: 80, epoch: 1, elapsed_seconds: "92", loss_curve: "2.206", train_loss: "2.257", overfit_gap: "0.034", val_loss: "2.291", acc_curve: "0.399", val_accuracy: "0.348" },
            { id: 11, run_id: 23, epoch: 1, elapsed_seconds: "89", loss_curve: "2.166", train_loss: "2.304", overfit_gap: "0.031", val_loss: "2.335", acc_curve: "0.390", val_accuracy: "0.252" },
            { id: 12, run_id: 39, epoch: 1, elapsed_seconds: "93", loss_curve: "2.207", train_loss: "2.285", overfit_gap: "0.039", val_loss: "2.324", acc_curve: "0.404", val_accuracy: "0.326" },
            { id: 13, run_id: 45, epoch: 1, elapsed_seconds: "92", loss_curve: "2.179", train_loss: "2.218", overfit_gap: "0.037", val_loss: "2.255", acc_curve: "0.402", val_accuracy: "0.363" },
            { id: 14, run_id: 80, epoch: 2, elapsed_seconds: "184", loss_curve: "2.063", train_loss: "2.114", overfit_gap: "0.059", val_loss: "2.173", acc_curve: "0.449", val_accuracy: "0.398" },
            { id: 15, run_id: 24, epoch: 1, elapsed_seconds: "92", loss_curve: "2.193", train_loss: "2.208", overfit_gap: "0.050", val_loss: "2.258", acc_curve: "0.387", val_accuracy: "0.372" },
            { id: 16, run_id: 54, epoch: 1, elapsed_seconds: "86", loss_curve: "2.192", train_loss: "2.213", overfit_gap: "0.036", val_loss: "2.249", acc_curve: "0.393", val_accuracy: "0.372" },
            { id: 17, run_id: 75, epoch: 1, elapsed_seconds: "87", loss_curve: "2.213", train_loss: "2.381", overfit_gap: "0.050", val_loss: "2.431", acc_curve: "0.395", val_accuracy: "0.227" },
            { id: 18, run_id: 52, epoch: 1, elapsed_seconds: "94", loss_curve: "2.172", train_loss: "2.292", overfit_gap: "0.037", val_loss: "2.329", acc_curve: "0.401", val_accuracy: "0.281" },
            { id: 19, run_id: 67, epoch: 1, elapsed_seconds: "91", loss_curve: "2.175", train_loss: "2.193", overfit_gap: "0.037", val_loss: "2.230", acc_curve: "0.400", val_accuracy: "0.382" },
            { id: 20, run_id: 20, epoch: 1, elapsed_seconds: "87", loss_curve: "2.209", train_loss: "2.248", overfit_gap: "0.051", val_loss: "2.299", acc_curve: "0.404", val_accuracy: "0.365" },
            { id: 21, run_id: 16, epoch: 1, elapsed_seconds: "90", loss_curve: "2.165", train_loss: "2.288", overfit_gap: "0.032", val_loss: "2.320", acc_curve: "0.395", val_accuracy: "0.272" },
            { id: 22, run_id: 62, epoch: 1, elapsed_seconds: "92", loss_curve: "2.190", train_loss: "2.394", overfit_gap: "0.053", val_loss: "2.447", acc_curve: "0.407", val_accuracy: "0.203" },
            { id: 23, run_id: 7, epoch: 1, elapsed_seconds: "86", loss_curve: "2.212", train_loss: "2.398", overfit_gap: "0.040", val_loss: "2.438", acc_curve: "0.406", val_accuracy: "0.220" },
            { id: 24, run_id: 12, epoch: 2, elapsed_seconds: "188", loss_curve: "2.020", train_loss: "2.314", overfit_gap: "0.047", val_loss: "2.361", acc_curve: "0.462", val_accuracy: "0.168" },
            { id: 25, run_id: 83, epoch: 1, elapsed_seconds: "95", loss_curve: "2.180", train_loss: "2.276", overfit_gap: "0.033", val_loss: "2.309", acc_curve: "0.404", val_accuracy: "0.308" },
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            { id: 497, run_id: 4, epoch: 5, elapsed_seconds: "454", loss_curve: "1.475", train_loss: "1.718", overfit_gap: "0.108", val_loss: "1.826", acc_curve: "0.586", val_accuracy: "0.343" },
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        ],
    });
    await prisma.metric_points.createMany({
        data: [
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            { id: 503, run_id: 5, epoch: 5, elapsed_seconds: "440", loss_curve: "1.472", train_loss: "1.499", overfit_gap: "0.103", val_loss: "1.602", acc_curve: "0.601", val_accuracy: "0.574" },
            { id: 504, run_id: 22, epoch: 4, elapsed_seconds: "360", loss_curve: "1.674", train_loss: "1.785", overfit_gap: "0.081", val_loss: "1.866", acc_curve: "0.551", val_accuracy: "0.440" },
            { id: 505, run_id: 37, epoch: 7, elapsed_seconds: "624", loss_curve: "1.100", train_loss: "1.259", overfit_gap: "0.129", val_loss: "1.388", acc_curve: "0.687", val_accuracy: "0.528" },
            { id: 506, run_id: 56, epoch: 6, elapsed_seconds: "540", loss_curve: "1.247", train_loss: "1.400", overfit_gap: "0.114", val_loss: "1.514", acc_curve: "0.651", val_accuracy: "0.498" },
            { id: 507, run_id: 57, epoch: 9, elapsed_seconds: "808", loss_curve: "0.749", train_loss: "0.803", overfit_gap: "0.150", val_loss: "0.953", acc_curve: "0.805", val_accuracy: "0.751" },
            { id: 508, run_id: 38, epoch: 7, elapsed_seconds: "627", loss_curve: "1.143", train_loss: "1.308", overfit_gap: "0.129", val_loss: "1.437", acc_curve: "0.716", val_accuracy: "0.551" },
            { id: 509, run_id: 9, epoch: 8, elapsed_seconds: "724", loss_curve: "0.930", train_loss: "1.131", overfit_gap: "0.155", val_loss: "1.286", acc_curve: "0.749", val_accuracy: "0.548" },
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            { id: 629, run_id: 78, epoch: 8, elapsed_seconds: "721", loss_curve: "0.944", train_loss: "0.992", overfit_gap: "0.142", val_loss: "1.134", acc_curve: "0.754", val_accuracy: "0.706" },
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            { id: 649, run_id: 7, epoch: 7, elapsed_seconds: "626", loss_curve: "1.132", train_loss: "1.318", overfit_gap: "0.132", val_loss: "1.450", acc_curve: "0.682", val_accuracy: "0.496" },
            { id: 650, run_id: 28, epoch: 7, elapsed_seconds: "628", loss_curve: "1.119", train_loss: "1.203", overfit_gap: "0.127", val_loss: "1.330", acc_curve: "0.694", val_accuracy: "0.610" },
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            { id: 653, run_id: 53, epoch: 7, elapsed_seconds: "628", loss_curve: "1.163", train_loss: "1.196", overfit_gap: "0.131", val_loss: "1.327", acc_curve: "0.704", val_accuracy: "0.671" },
            { id: 654, run_id: 75, epoch: 7, elapsed_seconds: "622", loss_curve: "1.103", train_loss: "1.271", overfit_gap: "0.135", val_loss: "1.406", acc_curve: "0.703", val_accuracy: "0.535" },
            { id: 655, run_id: 81, epoch: 10, elapsed_seconds: "907", loss_curve: "0.584", train_loss: "0.695", overfit_gap: "0.166", val_loss: "0.861", acc_curve: "0.849", val_accuracy: "0.738" },
            { id: 656, run_id: 29, epoch: 6, elapsed_seconds: "542", loss_curve: "1.258", train_loss: "1.282", overfit_gap: "0.107", val_loss: "1.389", acc_curve: "0.644", val_accuracy: "0.620" },
            { id: 657, run_id: 67, epoch: 6, elapsed_seconds: "537", loss_curve: "1.296", train_loss: "1.314", overfit_gap: "0.109", val_loss: "1.423", acc_curve: "0.661", val_accuracy: "0.643" },
            { id: 658, run_id: 12, epoch: 10, elapsed_seconds: "898", loss_curve: "0.568", train_loss: "0.862", overfit_gap: "0.181", val_loss: "1.043", acc_curve: "0.849", val_accuracy: "0.555" },
            { id: 659, run_id: 14, epoch: 8, elapsed_seconds: "719", loss_curve: "0.895", train_loss: "1.144", overfit_gap: "0.149", val_loss: "1.293", acc_curve: "0.739", val_accuracy: "0.490" },
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            { id: 661, run_id: 31, epoch: 8, elapsed_seconds: "721", loss_curve: "0.917", train_loss: "1.214", overfit_gap: "0.156", val_loss: "1.370", acc_curve: "0.752", val_accuracy: "0.455" },
            { id: 662, run_id: 84, epoch: 10, elapsed_seconds: "905", loss_curve: "0.578", train_loss: "0.602", overfit_gap: "0.179", val_loss: "0.781", acc_curve: "0.859", val_accuracy: "0.835" },
            { id: 663, run_id: 83, epoch: 7, elapsed_seconds: "632", loss_curve: "1.123", train_loss: "1.219", overfit_gap: "0.127", val_loss: "1.346", acc_curve: "0.691", val_accuracy: "0.595" },
            { id: 664, run_id: 51, epoch: 10, elapsed_seconds: "901", loss_curve: "0.603", train_loss: "0.618", overfit_gap: "0.166", val_loss: "0.784", acc_curve: "0.860", val_accuracy: "0.845" },
            { id: 665, run_id: 4, epoch: 8, elapsed_seconds: "714", loss_curve: "0.906", train_loss: "1.149", overfit_gap: "0.145", val_loss: "1.294", acc_curve: "0.743", val_accuracy: "0.500" },
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            { id: 667, run_id: 61, epoch: 6, elapsed_seconds: "539", loss_curve: "1.293", train_loss: "1.428", overfit_gap: "0.119", val_loss: "1.547", acc_curve: "0.648", val_accuracy: "0.513" },
            { id: 668, run_id: 41, epoch: 9, elapsed_seconds: "815", loss_curve: "0.763", train_loss: "0.877", overfit_gap: "0.157", val_loss: "1.034", acc_curve: "0.791", val_accuracy: "0.677" },
            { id: 669, run_id: 49, epoch: 10, elapsed_seconds: "892", loss_curve: "0.608", train_loss: "0.635", overfit_gap: "0.171", val_loss: "0.806", acc_curve: "0.850", val_accuracy: "0.823" },
            { id: 670, run_id: 50, epoch: 6, elapsed_seconds: "548", loss_curve: "1.300", train_loss: "1.324", overfit_gap: "0.117", val_loss: "1.441", acc_curve: "0.649", val_accuracy: "0.625" },
            { id: 671, run_id: 4, epoch: 9, elapsed_seconds: "806", loss_curve: "0.740", train_loss: "0.983", overfit_gap: "0.150", val_loss: "1.133", acc_curve: "0.808", val_accuracy: "0.565" },
            { id: 672, run_id: 14, epoch: 9, elapsed_seconds: "809", loss_curve: "0.798", train_loss: "1.047", overfit_gap: "0.169", val_loss: "1.216", acc_curve: "0.808", val_accuracy: "0.559" },
            { id: 673, run_id: 64, epoch: 8, elapsed_seconds: "717", loss_curve: "0.925", train_loss: "1.225", overfit_gap: "0.135", val_loss: "1.360", acc_curve: "0.760", val_accuracy: "0.460" },
            { id: 674, run_id: 8, epoch: 7, elapsed_seconds: "630", loss_curve: "1.122", train_loss: "1.137", overfit_gap: "0.139", val_loss: "1.276", acc_curve: "0.698", val_accuracy: "0.683" },
            { id: 675, run_id: 61, epoch: 7, elapsed_seconds: "637", loss_curve: "1.125", train_loss: "1.260", overfit_gap: "0.142", val_loss: "1.402", acc_curve: "0.699", val_accuracy: "0.564" },
            { id: 676, run_id: 15, epoch: 10, elapsed_seconds: "889", loss_curve: "0.557", train_loss: "0.575", overfit_gap: "0.181", val_loss: "0.756", acc_curve: "0.842", val_accuracy: "0.824" },
            { id: 677, run_id: 18, epoch: 8, elapsed_seconds: "725", loss_curve: "0.931", train_loss: "0.973", overfit_gap: "0.151", val_loss: "1.124", acc_curve: "0.752", val_accuracy: "0.710" },
            { id: 678, run_id: 40, epoch: 6, elapsed_seconds: "539", loss_curve: "1.323", train_loss: "1.389", overfit_gap: "0.115", val_loss: "1.504", acc_curve: "0.644", val_accuracy: "0.578" },
        ],
    });
}

main()
    .then(() => prisma.$disconnect())
    .catch(async error => {
        console.error(error);
        await prisma.$disconnect();
        process.exit(1);
    });