// Energy Model Optimization (energy-model-optimization) 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.model_optimization), 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.model_optimization.createMany({
        data: [
            { id: 1, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0698", batch_size: 56, epochs: 87, training_time: "84.52", accuracy: "0.5828", created_at: new Date("2023-09-23T12:48:22Z") },
            { id: 2, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0050", batch_size: 179, epochs: 55, training_time: "3.06", accuracy: "0.8827", created_at: new Date("2023-01-10T09:22:05Z") },
            { id: 3, model_architecture: "Transformer", optimizer: "RMSprop", learning_rate: "0.0180", batch_size: 236, epochs: 56, training_time: "6.96", accuracy: "0.0944", created_at: new Date("2023-10-25T11:13:10Z") },
            { id: 4, model_architecture: "LSTM", optimizer: "Adadelta", learning_rate: "0.0341", batch_size: 245, epochs: 71, training_time: "86.12", accuracy: "0.5651", created_at: new Date("2023-02-09T05:18:21Z") },
            { id: 5, model_architecture: "RNN", optimizer: "Adadelta", learning_rate: "0.0824", batch_size: 249, epochs: 71, training_time: "46.53", accuracy: "0.8685", created_at: new Date("2023-02-10T12:22:44Z") },
            { id: 6, model_architecture: "Transformer", optimizer: "Adagrad", learning_rate: "0.0054", batch_size: 232, epochs: 5, training_time: "1.51", accuracy: "0.5391", created_at: new Date("2022-10-15T17:23:16Z") },
            { id: 7, model_architecture: "RNN", optimizer: "Adagrad", learning_rate: "0.0229", batch_size: 246, epochs: 74, training_time: "78.91", accuracy: "0.4170", created_at: new Date("2022-04-24T18:08:15Z") },
            { id: 8, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0034", batch_size: 21, epochs: 59, training_time: "31.46", accuracy: "0.7122", created_at: new Date("2023-05-20T13:12:54Z") },
            { id: 9, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0606", batch_size: 157, epochs: 53, training_time: "27.51", accuracy: "0.0630", created_at: new Date("2023-02-12T15:57:20Z") },
            { id: 10, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0099", batch_size: 42, epochs: 32, training_time: "4.71", accuracy: "0.1367", created_at: new Date("2022-03-06T15:38:47Z") },
            { id: 11, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0204", batch_size: 232, epochs: 14, training_time: "46.30", accuracy: "0.8296", created_at: new Date("2023-07-03T09:35:44Z") },
            { id: 12, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0105", batch_size: 200, epochs: 92, training_time: "1.47", accuracy: "0.2050", created_at: new Date("2022-07-23T16:59:44Z") },
            { id: 13, model_architecture: "GRU", optimizer: "RMSprop", learning_rate: "0.0863", batch_size: 75, epochs: 59, training_time: "1.58", accuracy: "0.2147", created_at: new Date("2023-12-15T18:14:40Z") },
            { id: 14, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0069", batch_size: 87, epochs: 33, training_time: "72.77", accuracy: "0.8069", created_at: new Date("2023-08-21T10:49:23Z") },
            { id: 15, model_architecture: "RNN", optimizer: "Adadelta", learning_rate: "0.0987", batch_size: 164, epochs: 93, training_time: "50.05", accuracy: "0.9909", created_at: new Date("2023-01-06T15:00:36Z") },
            { id: 16, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0464", batch_size: 32, epochs: 6, training_time: "13.29", accuracy: "0.5521", created_at: new Date("2023-12-14T11:01:17Z") },
            { id: 17, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0007", batch_size: 49, epochs: 94, training_time: "47.33", accuracy: "0.4545", created_at: new Date("2023-12-23T17:47:05Z") },
            { id: 18, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0756", batch_size: 254, epochs: 78, training_time: "54.76", accuracy: "0.5207", created_at: new Date("2022-02-08T10:31:10Z") },
            { id: 19, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0076", batch_size: 45, epochs: 64, training_time: "92.11", accuracy: "0.2176", created_at: new Date("2023-08-10T10:15:11Z") },
            { id: 20, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0373", batch_size: 112, epochs: 65, training_time: "43.96", accuracy: "0.8808", created_at: new Date("2022-08-14T14:57:12Z") },
            { id: 21, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0714", batch_size: 41, epochs: 85, training_time: "61.25", accuracy: "0.9578", created_at: new Date("2023-11-05T17:22:57Z") },
            { id: 22, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0178", batch_size: 97, epochs: 96, training_time: "2.65", accuracy: "0.2860", created_at: new Date("2023-02-24T14:01:25Z") },
            { id: 23, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0417", batch_size: 202, epochs: 12, training_time: "40.91", accuracy: "0.9978", created_at: new Date("2022-12-20T15:48:00Z") },
            { id: 24, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0589", batch_size: 34, epochs: 36, training_time: "113.02", accuracy: "0.0304", created_at: new Date("2023-08-29T06:19:57Z") },
            { id: 25, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0844", batch_size: 223, epochs: 81, training_time: "32.66", accuracy: "0.2948", created_at: new Date("2023-04-10T13:48:15Z") },
            { id: 26, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0538", batch_size: 89, epochs: 56, training_time: "3.64", accuracy: "0.8495", created_at: new Date("2022-05-31T11:36:17Z") },
            { id: 27, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0576", batch_size: 225, epochs: 33, training_time: "19.74", accuracy: "0.5922", created_at: new Date("2023-06-01T14:11:43Z") },
            { id: 28, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0371", batch_size: 166, epochs: 73, training_time: "96.83", accuracy: "0.1468", created_at: new Date("2022-02-03T11:58:47Z") },
            { id: 29, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0808", batch_size: 239, epochs: 100, training_time: "70.98", accuracy: "0.9969", created_at: new Date("2023-04-30T11:29:34Z") },
            { id: 30, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0146", batch_size: 59, epochs: 90, training_time: "38.86", accuracy: "0.9728", created_at: new Date("2022-05-07T09:28:06Z") },
            { id: 31, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0204", batch_size: 65, epochs: 70, training_time: "22.00", accuracy: "0.2578", created_at: new Date("2023-08-05T12:52:40Z") },
            { id: 32, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0657", batch_size: 131, epochs: 49, training_time: "61.21", accuracy: "0.8664", created_at: new Date("2022-05-26T17:56:32Z") },
            { id: 33, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0384", batch_size: 179, epochs: 72, training_time: "89.20", accuracy: "0.9969", created_at: new Date("2022-01-08T11:41:39Z") },
            { id: 34, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0456", batch_size: 78, epochs: 29, training_time: "2.05", accuracy: "0.8351", created_at: new Date("2022-04-17T15:38:39Z") },
            { id: 35, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0608", batch_size: 22, epochs: 88, training_time: "84.33", accuracy: "0.6302", created_at: new Date("2022-07-29T10:55:15Z") },
            { id: 36, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0637", batch_size: 173, epochs: 44, training_time: "44.30", accuracy: "0.2896", created_at: new Date("2023-08-04T10:18:06Z") },
            { id: 37, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0586", batch_size: 219, epochs: 67, training_time: "7.57", accuracy: "0.6326", created_at: new Date("2022-09-10T02:32:25Z") },
            { id: 38, model_architecture: "GRU", optimizer: "Adagrad", learning_rate: "0.0553", batch_size: 42, epochs: 91, training_time: "117.39", accuracy: "0.7735", created_at: new Date("2022-06-30T15:22:27Z") },
            { id: 39, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0631", batch_size: 129, epochs: 4, training_time: "56.53", accuracy: "0.0749", created_at: new Date("2022-02-01T16:24:43Z") },
            { id: 40, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0301", batch_size: 44, epochs: 87, training_time: "65.39", accuracy: "0.6171", created_at: new Date("2022-10-05T10:06:58Z") },
            { id: 41, model_architecture: "RNN", optimizer: "RMSprop", learning_rate: "0.0225", batch_size: 156, epochs: 69, training_time: "49.72", accuracy: "0.1741", created_at: new Date("2022-07-31T11:37:10Z") },
            { id: 42, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0325", batch_size: 72, epochs: 27, training_time: "13.51", accuracy: "0.9898", created_at: new Date("2022-08-03T14:10:36Z") },
            { id: 43, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0303", batch_size: 103, epochs: 14, training_time: "55.16", accuracy: "0.9353", created_at: new Date("2023-04-30T15:23:20Z") },
            { id: 44, model_architecture: "LSTM", optimizer: "RMSprop", learning_rate: "0.0553", batch_size: 86, epochs: 43, training_time: "72.26", accuracy: "0.9999", created_at: new Date("2022-06-11T14:52:04Z") },
            { id: 45, model_architecture: "LSTM", optimizer: "Adagrad", learning_rate: "0.0158", batch_size: 169, epochs: 57, training_time: "67.46", accuracy: "0.5811", created_at: new Date("2022-01-25T15:35:35Z") },
            { id: 46, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0382", batch_size: 39, epochs: 43, training_time: "114.82", accuracy: "0.4129", created_at: new Date("2023-01-20T22:01:06Z") },
            { id: 47, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0970", batch_size: 248, epochs: 39, training_time: "7.08", accuracy: "0.2648", created_at: new Date("2022-01-24T13:27:02Z") },
            { id: 48, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0497", batch_size: 196, epochs: 50, training_time: "29.96", accuracy: "0.7511", created_at: new Date("2022-03-26T15:20:29Z") },
            { id: 49, model_architecture: "LSTM", optimizer: "Adadelta", learning_rate: "0.0659", batch_size: 39, epochs: 89, training_time: "87.81", accuracy: "0.8069", created_at: new Date("2022-08-28T10:17:36Z") },
            { id: 50, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0804", batch_size: 199, epochs: 80, training_time: "50.93", accuracy: "0.5095", created_at: new Date("2023-11-19T10:06:32Z") },
            { id: 51, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0060", batch_size: 241, epochs: 22, training_time: "5.96", accuracy: "0.9467", created_at: new Date("2022-05-29T08:36:10Z") },
            { id: 52, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0226", batch_size: 145, epochs: 26, training_time: "95.20", accuracy: "0.6583", created_at: new Date("2022-03-18T10:20:20Z") },
            { id: 53, model_architecture: "GRU", optimizer: "Adagrad", learning_rate: "0.0110", batch_size: 27, epochs: 98, training_time: "2.89", accuracy: "0.4263", created_at: new Date("2023-05-09T10:38:20Z") },
            { id: 54, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0619", batch_size: 96, epochs: 69, training_time: "87.54", accuracy: "0.9832", created_at: new Date("2023-07-23T08:40:18Z") },
            { id: 55, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0715", batch_size: 244, epochs: 50, training_time: "71.18", accuracy: "0.1134", created_at: new Date("2023-09-24T13:51:02Z") },
            { id: 56, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0281", batch_size: 92, epochs: 89, training_time: "13.34", accuracy: "0.7752", created_at: new Date("2022-06-20T10:09:48Z") },
            { id: 57, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0142", batch_size: 28, epochs: 44, training_time: "105.80", accuracy: "0.8785", created_at: new Date("2022-12-31T13:12:38Z") },
            { id: 58, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0256", batch_size: 163, epochs: 48, training_time: "69.46", accuracy: "0.9151", created_at: new Date("2023-03-24T09:52:13Z") },
            { id: 59, model_architecture: "LSTM", optimizer: "Adagrad", learning_rate: "0.0559", batch_size: 207, epochs: 57, training_time: "14.65", accuracy: "0.6846", created_at: new Date("2022-11-26T17:27:31Z") },
            { id: 60, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0868", batch_size: 161, epochs: 42, training_time: "0.73", accuracy: "0.4027", created_at: new Date("2023-08-15T06:50:42Z") },
            { id: 61, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0972", batch_size: 81, epochs: 90, training_time: "117.37", accuracy: "0.9947", created_at: new Date("2022-11-24T07:49:22Z") },
            { id: 62, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0188", batch_size: 26, epochs: 24, training_time: "14.74", accuracy: "0.6391", created_at: new Date("2023-08-09T04:59:11Z") },
            { id: 63, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0808", batch_size: 134, epochs: 75, training_time: "115.27", accuracy: "0.9747", created_at: new Date("2022-09-07T14:28:28Z") },
            { id: 64, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0613", batch_size: 77, epochs: 55, training_time: "92.10", accuracy: "0.0214", created_at: new Date("2023-11-13T07:42:46Z") },
            { id: 65, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0488", batch_size: 47, epochs: 56, training_time: "83.74", accuracy: "0.5325", created_at: new Date("2023-07-13T17:38:43Z") },
            { id: 66, model_architecture: "GRU", optimizer: "RMSprop", learning_rate: "0.0246", batch_size: 159, epochs: 87, training_time: "3.02", accuracy: "0.8638", created_at: new Date("2023-10-05T15:49:13Z") },
            { id: 67, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0808", batch_size: 230, epochs: 58, training_time: "86.87", accuracy: "0.3664", created_at: new Date("2022-06-01T19:50:11Z") },
            { id: 68, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0032", batch_size: 165, epochs: 48, training_time: "3.51", accuracy: "0.6967", created_at: new Date("2022-05-01T13:50:19Z") },
            { id: 69, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0100", batch_size: 189, epochs: 40, training_time: "64.48", accuracy: "0.3016", created_at: new Date("2023-06-25T15:55:39Z") },
            { id: 70, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0071", batch_size: 242, epochs: 10, training_time: "0.10", accuracy: "0.9967", created_at: new Date("2023-12-21T08:43:39Z") },
            { id: 71, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0048", batch_size: 174, epochs: 83, training_time: "16.51", accuracy: "0.4611", created_at: new Date("2022-03-28T15:16:30Z") },
            { id: 72, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0897", batch_size: 113, epochs: 1, training_time: "36.47", accuracy: "0.6137", created_at: new Date("2023-03-12T09:45:33Z") },
            { id: 73, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0916", batch_size: 75, epochs: 10, training_time: "16.34", accuracy: "0.8713", created_at: new Date("2023-12-30T05:02:48Z") },
            { id: 74, model_architecture: "Transformer", optimizer: "Adagrad", learning_rate: "0.0842", batch_size: 120, epochs: 2, training_time: "27.58", accuracy: "0.7640", created_at: new Date("2023-09-04T15:42:22Z") },
            { id: 75, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0863", batch_size: 227, epochs: 48, training_time: "1.94", accuracy: "0.9852", created_at: new Date("2023-07-07T09:53:52Z") },
            { id: 76, model_architecture: "LSTM", optimizer: "Adadelta", learning_rate: "0.0540", batch_size: 200, epochs: 58, training_time: "10.12", accuracy: "0.7287", created_at: new Date("2022-01-20T10:27:51Z") },
            { id: 77, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0835", batch_size: 66, epochs: 33, training_time: "97.46", accuracy: "0.6268", created_at: new Date("2022-10-04T14:39:16Z") },
            { id: 78, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0404", batch_size: 18, epochs: 5, training_time: "2.06", accuracy: "0.1179", created_at: new Date("2022-12-11T16:50:33Z") },
            { id: 79, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0831", batch_size: 148, epochs: 41, training_time: "40.60", accuracy: "0.2688", created_at: new Date("2022-03-08T14:19:11Z") },
            { id: 80, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0200", batch_size: 58, epochs: 89, training_time: "69.07", accuracy: "0.3622", created_at: new Date("2023-06-03T13:12:03Z") },
            { id: 81, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0502", batch_size: 252, epochs: 56, training_time: "0.59", accuracy: "0.1829", created_at: new Date("2023-12-26T17:13:15Z") },
            { id: 82, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0887", batch_size: 106, epochs: 72, training_time: "2.78", accuracy: "0.4722", created_at: new Date("2023-12-28T09:15:37Z") },
            { id: 83, model_architecture: "LSTM", optimizer: "RMSprop", learning_rate: "0.0402", batch_size: 124, epochs: 38, training_time: "0.72", accuracy: "0.7747", created_at: new Date("2022-08-31T08:05:06Z") },
            { id: 84, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0899", batch_size: 67, epochs: 28, training_time: "27.54", accuracy: "0.2180", created_at: new Date("2023-11-06T14:15:33Z") },
            { id: 85, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0067", batch_size: 195, epochs: 95, training_time: "39.22", accuracy: "0.7086", created_at: new Date("2022-04-16T15:26:41Z") },
            { id: 86, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0105", batch_size: 224, epochs: 74, training_time: "6.06", accuracy: "0.7127", created_at: new Date("2022-07-25T10:21:13Z") },
            { id: 87, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0568", batch_size: 78, epochs: 18, training_time: "33.52", accuracy: "0.0923", created_at: new Date("2023-06-23T12:13:59Z") },
            { id: 88, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0677", batch_size: 82, epochs: 19, training_time: "74.40", accuracy: "0.1744", created_at: new Date("2023-05-05T10:34:11Z") },
            { id: 89, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0484", batch_size: 77, epochs: 91, training_time: "17.31", accuracy: "0.6645", created_at: new Date("2022-04-12T15:48:11Z") },
            { id: 90, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0561", batch_size: 249, epochs: 33, training_time: "1.54", accuracy: "0.5268", created_at: new Date("2022-05-08T10:10:27Z") },
            { id: 91, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0153", batch_size: 170, epochs: 99, training_time: "0.71", accuracy: "0.6685", created_at: new Date("2023-02-20T21:56:46Z") },
            { id: 92, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0201", batch_size: 59, epochs: 22, training_time: "101.57", accuracy: "0.3276", created_at: new Date("2022-11-04T11:43:01Z") },
            { id: 93, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0407", batch_size: 220, epochs: 45, training_time: "0.63", accuracy: "0.9991", created_at: new Date("2022-03-14T09:52:13Z") },
            { id: 94, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0035", batch_size: 197, epochs: 6, training_time: "46.91", accuracy: "0.4509", created_at: new Date("2023-12-09T15:51:43Z") },
            { id: 95, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0499", batch_size: 212, epochs: 24, training_time: "35.87", accuracy: "0.9566", created_at: new Date("2022-07-20T14:28:20Z") },
            { id: 96, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0240", batch_size: 235, epochs: 89, training_time: "60.73", accuracy: "0.0800", created_at: new Date("2023-02-23T16:36:33Z") },
            { id: 97, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0114", batch_size: 240, epochs: 54, training_time: "32.63", accuracy: "0.6450", created_at: new Date("2022-03-03T20:11:52Z") },
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            { id: 486, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0062", batch_size: 57, epochs: 74, training_time: "4.26", accuracy: "0.2581", created_at: new Date("2022-12-25T09:06:43Z") },
            { id: 487, model_architecture: "GRU", optimizer: "Adadelta", learning_rate: "0.0315", batch_size: 196, epochs: 79, training_time: "34.84", accuracy: "0.8996", created_at: new Date("2022-12-04T10:47:47Z") },
            { id: 488, model_architecture: "Transformer", optimizer: "Adagrad", learning_rate: "0.0558", batch_size: 105, epochs: 55, training_time: "6.96", accuracy: "0.3712", created_at: new Date("2022-03-23T10:31:40Z") },
            { id: 489, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0221", batch_size: 108, epochs: 50, training_time: "30.30", accuracy: "1.0000", created_at: new Date("2022-02-01T14:42:47Z") },
            { id: 490, model_architecture: "Transformer", optimizer: "RMSprop", learning_rate: "0.0510", batch_size: 45, epochs: 26, training_time: "0.39", accuracy: "0.2520", created_at: new Date("2023-01-05T07:10:30Z") },
            { id: 491, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0798", batch_size: 218, epochs: 37, training_time: "0.64", accuracy: "0.5011", created_at: new Date("2023-09-14T16:30:13Z") },
            { id: 492, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0932", batch_size: 96, epochs: 19, training_time: "10.09", accuracy: "0.4266", created_at: new Date("2023-02-13T14:48:03Z") },
            { id: 493, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0043", batch_size: 128, epochs: 3, training_time: "1.36", accuracy: "0.8354", created_at: new Date("2022-12-23T16:12:15Z") },
            { id: 494, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0785", batch_size: 195, epochs: 33, training_time: "23.35", accuracy: "0.4098", created_at: new Date("2022-08-08T17:50:28Z") },
            { id: 495, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0346", batch_size: 154, epochs: 14, training_time: "0.74", accuracy: "0.9581", created_at: new Date("2023-04-26T14:27:02Z") },
            { id: 496, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0722", batch_size: 148, epochs: 45, training_time: "52.93", accuracy: "0.9439", created_at: new Date("2022-07-06T17:49:38Z") },
            { id: 497, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0585", batch_size: 19, epochs: 13, training_time: "112.22", accuracy: "0.6256", created_at: new Date("2023-03-14T15:21:18Z") },
            { id: 498, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0253", batch_size: 89, epochs: 34, training_time: "40.82", accuracy: "0.8754", created_at: new Date("2023-07-24T12:47:52Z") },
            { id: 499, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0347", batch_size: 79, epochs: 4, training_time: "25.05", accuracy: "0.1403", created_at: new Date("2022-05-13T14:28:58Z") },
            { id: 500, model_architecture: "Transformer", optimizer: "Adadelta", learning_rate: "0.0208", batch_size: 165, epochs: 21, training_time: "30.18", accuracy: "0.6832", created_at: new Date("2023-11-12T11:14:50Z") },
        ],
    });
    await prisma.model_optimization.createMany({
        data: [
            { id: 501, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0406", batch_size: 114, epochs: 95, training_time: "88.68", accuracy: "0.7554", created_at: new Date("2023-06-21T12:29:01Z") },
            { id: 502, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0242", batch_size: 186, epochs: 23, training_time: "16.72", accuracy: "0.9989", created_at: new Date("2023-10-01T11:26:40Z") },
            { id: 503, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0709", batch_size: 37, epochs: 49, training_time: "117.90", accuracy: "0.7217", created_at: new Date("2022-11-10T12:27:23Z") },
            { id: 504, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0379", batch_size: 53, epochs: 100, training_time: "61.27", accuracy: "0.8155", created_at: new Date("2022-07-16T09:43:22Z") },
            { id: 505, model_architecture: "Transformer", optimizer: "Adadelta", learning_rate: "0.0348", batch_size: 62, epochs: 98, training_time: "24.15", accuracy: "0.6069", created_at: new Date("2022-05-27T14:38:13Z") },
            { id: 506, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0308", batch_size: 237, epochs: 43, training_time: "6.34", accuracy: "0.8029", created_at: new Date("2023-07-26T21:36:52Z") },
            { id: 507, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0603", batch_size: 68, epochs: 19, training_time: "6.52", accuracy: "0.7473", created_at: new Date("2023-09-16T17:47:45Z") },
            { id: 508, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0551", batch_size: 159, epochs: 4, training_time: "10.14", accuracy: "0.3411", created_at: new Date("2022-06-22T19:06:39Z") },
            { id: 509, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0451", batch_size: 160, epochs: 56, training_time: "1.35", accuracy: "0.3069", created_at: new Date("2023-01-16T08:14:43Z") },
            { id: 510, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0044", batch_size: 42, epochs: 47, training_time: "76.65", accuracy: "0.3016", created_at: new Date("2023-06-09T11:48:07Z") },
            { id: 511, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0816", batch_size: 161, epochs: 57, training_time: "3.48", accuracy: "0.8407", created_at: new Date("2022-10-12T11:13:04Z") },
            { id: 512, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0386", batch_size: 231, epochs: 57, training_time: "2.92", accuracy: "0.9469", created_at: new Date("2023-01-30T10:15:01Z") },
            { id: 513, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0259", batch_size: 39, epochs: 65, training_time: "64.79", accuracy: "0.7030", created_at: new Date("2023-01-16T10:20:19Z") },
            { id: 514, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0318", batch_size: 59, epochs: 3, training_time: "18.69", accuracy: "0.5880", created_at: new Date("2022-12-18T10:59:13Z") },
            { id: 515, model_architecture: "Transformer", optimizer: "RMSprop", learning_rate: "0.0002", batch_size: 60, epochs: 63, training_time: "32.17", accuracy: "0.6000", created_at: new Date("2022-12-05T09:01:27Z") },
            { id: 516, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0308", batch_size: 192, epochs: 57, training_time: "67.19", accuracy: "0.6794", created_at: new Date("2023-05-25T15:42:45Z") },
            { id: 517, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0617", batch_size: 19, epochs: 91, training_time: "55.45", accuracy: "0.3650", created_at: new Date("2022-07-03T11:32:04Z") },
            { id: 518, model_architecture: "Transformer", optimizer: "Adagrad", learning_rate: "0.0359", batch_size: 126, epochs: 46, training_time: "0.39", accuracy: "0.7119", created_at: new Date("2023-09-03T20:32:30Z") },
            { id: 519, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0182", batch_size: 127, epochs: 42, training_time: "72.30", accuracy: "0.1861", created_at: new Date("2023-04-07T22:39:06Z") },
            { id: 520, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0680", batch_size: 235, epochs: 9, training_time: "37.94", accuracy: "0.6975", created_at: new Date("2023-03-26T10:58:55Z") },
            { id: 521, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0771", batch_size: 95, epochs: 66, training_time: "31.02", accuracy: "0.2067", created_at: new Date("2022-03-04T14:24:38Z") },
            { id: 522, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0591", batch_size: 134, epochs: 4, training_time: "49.28", accuracy: "0.9426", created_at: new Date("2023-10-20T11:13:16Z") },
            { id: 523, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0813", batch_size: 219, epochs: 12, training_time: "61.51", accuracy: "0.6526", created_at: new Date("2022-08-15T07:34:43Z") },
            { id: 524, model_architecture: "LSTM", optimizer: "RMSprop", learning_rate: "0.0776", batch_size: 213, epochs: 25, training_time: "116.70", accuracy: "0.3883", created_at: new Date("2023-05-02T21:04:48Z") },
            { id: 525, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0785", batch_size: 49, epochs: 69, training_time: "39.20", accuracy: "0.2528", created_at: new Date("2023-03-16T15:58:53Z") },
            { id: 526, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0793", batch_size: 47, epochs: 96, training_time: "18.56", accuracy: "0.8579", created_at: new Date("2023-12-14T15:16:38Z") },
            { id: 527, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0921", batch_size: 56, epochs: 24, training_time: "9.89", accuracy: "0.2477", created_at: new Date("2023-02-17T08:12:53Z") },
            { id: 528, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0343", batch_size: 126, epochs: 14, training_time: "26.46", accuracy: "0.8739", created_at: new Date("2022-08-18T14:33:11Z") },
            { id: 529, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0662", batch_size: 113, epochs: 43, training_time: "52.86", accuracy: "0.6293", created_at: new Date("2023-07-30T15:20:27Z") },
            { id: 530, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0824", batch_size: 167, epochs: 55, training_time: "48.54", accuracy: "0.2767", created_at: new Date("2022-09-19T13:19:13Z") },
            { id: 531, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0559", batch_size: 180, epochs: 82, training_time: "1.41", accuracy: "0.9998", created_at: new Date("2022-10-23T10:20:22Z") },
            { id: 532, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0272", batch_size: 174, epochs: 34, training_time: "73.01", accuracy: "0.5772", created_at: new Date("2022-02-16T16:14:18Z") },
            { id: 533, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0584", batch_size: 107, epochs: 32, training_time: "0.58", accuracy: "0.9940", created_at: new Date("2023-08-25T08:35:14Z") },
            { id: 534, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0590", batch_size: 183, epochs: 23, training_time: "40.87", accuracy: "0.9874", created_at: new Date("2022-01-13T14:50:26Z") },
            { id: 535, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0913", batch_size: 18, epochs: 82, training_time: "13.11", accuracy: "0.9840", created_at: new Date("2022-01-01T16:50:29Z") },
            { id: 536, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0420", batch_size: 26, epochs: 61, training_time: "0.15", accuracy: "0.1117", created_at: new Date("2023-01-27T13:30:07Z") },
            { id: 537, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0650", batch_size: 75, epochs: 37, training_time: "60.91", accuracy: "0.9755", created_at: new Date("2023-06-18T08:45:03Z") },
            { id: 538, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0781", batch_size: 62, epochs: 59, training_time: "1.04", accuracy: "0.9338", created_at: new Date("2022-11-30T11:25:26Z") },
            { id: 539, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0036", batch_size: 215, epochs: 62, training_time: "62.82", accuracy: "0.7138", created_at: new Date("2023-07-31T14:42:12Z") },
            { id: 540, model_architecture: "RNN", optimizer: "RMSprop", learning_rate: "0.0055", batch_size: 105, epochs: 84, training_time: "0.26", accuracy: "0.0814", created_at: new Date("2022-03-17T16:17:31Z") },
            { id: 541, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0891", batch_size: 17, epochs: 55, training_time: "6.92", accuracy: "0.9512", created_at: new Date("2022-12-25T11:06:24Z") },
            { id: 542, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0010", batch_size: 249, epochs: 41, training_time: "101.45", accuracy: "0.9102", created_at: new Date("2023-06-03T08:17:55Z") },
            { id: 543, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0417", batch_size: 241, epochs: 58, training_time: "19.06", accuracy: "0.7466", created_at: new Date("2023-04-19T14:54:10Z") },
            { id: 544, model_architecture: "RNN", optimizer: "Adagrad", learning_rate: "0.0777", batch_size: 56, epochs: 57, training_time: "2.92", accuracy: "0.8406", created_at: new Date("2022-03-13T17:16:50Z") },
            { id: 545, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0585", batch_size: 174, epochs: 59, training_time: "27.79", accuracy: "0.9985", created_at: new Date("2022-04-05T16:02:19Z") },
            { id: 546, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0560", batch_size: 194, epochs: 24, training_time: "56.07", accuracy: "1.0000", created_at: new Date("2023-06-23T08:15:36Z") },
            { id: 547, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0548", batch_size: 121, epochs: 27, training_time: "3.90", accuracy: "0.8646", created_at: new Date("2022-09-15T09:07:13Z") },
            { id: 548, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0899", batch_size: 176, epochs: 55, training_time: "52.72", accuracy: "0.7662", created_at: new Date("2023-04-18T09:47:42Z") },
            { id: 549, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0495", batch_size: 202, epochs: 21, training_time: "65.52", accuracy: "0.6155", created_at: new Date("2022-07-19T09:19:01Z") },
            { id: 550, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0008", batch_size: 208, epochs: 95, training_time: "115.08", accuracy: "0.2916", created_at: new Date("2022-04-20T11:54:48Z") },
            { id: 551, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0318", batch_size: 114, epochs: 46, training_time: "7.49", accuracy: "0.9996", created_at: new Date("2022-11-21T09:31:13Z") },
            { id: 552, model_architecture: "Transformer", optimizer: "RMSprop", learning_rate: "0.0644", batch_size: 244, epochs: 80, training_time: "6.94", accuracy: "0.6074", created_at: new Date("2023-10-03T11:16:49Z") },
            { id: 553, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0905", batch_size: 39, epochs: 7, training_time: "1.53", accuracy: "0.5871", created_at: new Date("2023-09-29T15:01:04Z") },
            { id: 554, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0443", batch_size: 46, epochs: 3, training_time: "2.97", accuracy: "0.4096", created_at: new Date("2022-02-11T11:10:27Z") },
            { id: 555, model_architecture: "RNN", optimizer: "RMSprop", learning_rate: "0.0991", batch_size: 76, epochs: 95, training_time: "76.33", accuracy: "0.2420", created_at: new Date("2022-04-16T14:19:33Z") },
            { id: 556, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0435", batch_size: 196, epochs: 54, training_time: "51.65", accuracy: "0.8990", created_at: new Date("2023-04-01T12:03:53Z") },
            { id: 557, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0450", batch_size: 123, epochs: 42, training_time: "12.26", accuracy: "0.4918", created_at: new Date("2022-07-20T16:24:51Z") },
            { id: 558, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0347", batch_size: 123, epochs: 94, training_time: "72.91", accuracy: "0.9155", created_at: new Date("2023-01-18T14:27:04Z") },
            { id: 559, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0271", batch_size: 121, epochs: 75, training_time: "26.88", accuracy: "0.8280", created_at: new Date("2022-08-12T17:49:46Z") },
            { id: 560, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0693", batch_size: 246, epochs: 71, training_time: "7.53", accuracy: "0.6201", created_at: new Date("2022-01-17T09:06:04Z") },
            { id: 561, model_architecture: "CNN", optimizer: "Adagrad", learning_rate: "0.0184", batch_size: 245, epochs: 54, training_time: "26.18", accuracy: "0.7504", created_at: new Date("2023-12-03T09:18:21Z") },
            { id: 562, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0276", batch_size: 32, epochs: 50, training_time: "55.69", accuracy: "0.0384", created_at: new Date("2022-11-10T01:23:25Z") },
            { id: 563, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0881", batch_size: 138, epochs: 65, training_time: "38.76", accuracy: "0.9041", created_at: new Date("2023-11-21T10:01:14Z") },
            { id: 564, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0081", batch_size: 150, epochs: 18, training_time: "35.59", accuracy: "0.9963", created_at: new Date("2022-08-16T14:38:41Z") },
            { id: 565, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0985", batch_size: 220, epochs: 48, training_time: "2.21", accuracy: "0.2302", created_at: new Date("2022-11-05T15:03:42Z") },
            { id: 566, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0975", batch_size: 154, epochs: 94, training_time: "0.10", accuracy: "0.4272", created_at: new Date("2023-07-18T11:49:47Z") },
            { id: 567, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0094", batch_size: 66, epochs: 92, training_time: "41.50", accuracy: "0.4558", created_at: new Date("2023-11-06T15:39:52Z") },
            { id: 568, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0372", batch_size: 252, epochs: 19, training_time: "6.48", accuracy: "0.4829", created_at: new Date("2022-01-03T16:32:45Z") },
            { id: 569, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0360", batch_size: 116, epochs: 98, training_time: "0.90", accuracy: "0.2058", created_at: new Date("2022-02-27T11:21:40Z") },
            { id: 570, model_architecture: "LSTM", optimizer: "Adagrad", learning_rate: "0.0882", batch_size: 85, epochs: 55, training_time: "0.13", accuracy: "0.9210", created_at: new Date("2023-12-19T16:12:19Z") },
            { id: 571, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0893", batch_size: 245, epochs: 99, training_time: "1.75", accuracy: "0.9862", created_at: new Date("2022-10-23T12:10:06Z") },
            { id: 572, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0373", batch_size: 118, epochs: 10, training_time: "14.02", accuracy: "0.8150", created_at: new Date("2022-12-14T16:00:17Z") },
            { id: 573, model_architecture: "GRU", optimizer: "Adam", learning_rate: "0.0473", batch_size: 203, epochs: 62, training_time: "37.16", accuracy: "0.9977", created_at: new Date("2022-09-20T14:59:31Z") },
            { id: 574, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0873", batch_size: 51, epochs: 66, training_time: "0.90", accuracy: "0.5081", created_at: new Date("2023-10-22T10:22:52Z") },
            { id: 575, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0562", batch_size: 16, epochs: 33, training_time: "53.57", accuracy: "0.8472", created_at: new Date("2022-06-27T14:25:39Z") },
            { id: 576, model_architecture: "CNN", optimizer: "RMSprop", learning_rate: "0.0237", batch_size: 196, epochs: 30, training_time: "55.55", accuracy: "0.9671", created_at: new Date("2023-08-29T14:30:03Z") },
            { id: 577, model_architecture: "GRU", optimizer: "SGD", learning_rate: "0.0664", batch_size: 89, epochs: 52, training_time: "31.21", accuracy: "0.6173", created_at: new Date("2023-01-14T11:37:18Z") },
            { id: 578, model_architecture: "Transformer", optimizer: "Adagrad", learning_rate: "0.0915", batch_size: 141, epochs: 71, training_time: "35.57", accuracy: "0.8299", created_at: new Date("2022-12-27T14:29:54Z") },
            { id: 579, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0919", batch_size: 163, epochs: 70, training_time: "31.83", accuracy: "0.9212", created_at: new Date("2023-04-15T08:39:41Z") },
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            { id: 964, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0466", batch_size: 166, epochs: 5, training_time: "72.43", accuracy: "0.9828", created_at: new Date("2022-11-01T11:54:42Z") },
            { id: 965, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0114", batch_size: 62, epochs: 94, training_time: "33.54", accuracy: "0.9975", created_at: new Date("2023-02-02T10:23:30Z") },
            { id: 966, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0475", batch_size: 43, epochs: 19, training_time: "7.08", accuracy: "0.4388", created_at: new Date("2022-03-26T17:37:32Z") },
            { id: 967, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0559", batch_size: 153, epochs: 41, training_time: "8.36", accuracy: "0.9003", created_at: new Date("2022-07-28T05:50:30Z") },
            { id: 968, model_architecture: "RNN", optimizer: "Adagrad", learning_rate: "0.0119", batch_size: 168, epochs: 10, training_time: "1.16", accuracy: "0.3694", created_at: new Date("2023-02-10T10:42:40Z") },
            { id: 969, model_architecture: "LSTM", optimizer: "RMSprop", learning_rate: "0.0651", batch_size: 151, epochs: 34, training_time: "47.09", accuracy: "0.6144", created_at: new Date("2022-09-08T19:34:42Z") },
            { id: 970, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0245", batch_size: 59, epochs: 19, training_time: "40.38", accuracy: "0.6267", created_at: new Date("2022-06-01T15:19:45Z") },
            { id: 971, model_architecture: "LSTM", optimizer: "Adagrad", learning_rate: "0.0625", batch_size: 173, epochs: 42, training_time: "23.02", accuracy: "0.6937", created_at: new Date("2023-03-13T09:28:51Z") },
            { id: 972, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0203", batch_size: 81, epochs: 39, training_time: "32.54", accuracy: "0.9716", created_at: new Date("2022-11-13T13:19:52Z") },
            { id: 973, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0141", batch_size: 66, epochs: 21, training_time: "85.25", accuracy: "0.9889", created_at: new Date("2023-10-24T10:56:45Z") },
            { id: 974, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0412", batch_size: 109, epochs: 28, training_time: "28.38", accuracy: "0.6578", created_at: new Date("2023-03-19T13:42:40Z") },
            { id: 975, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0435", batch_size: 79, epochs: 77, training_time: "42.19", accuracy: "0.0833", created_at: new Date("2022-11-28T13:11:52Z") },
            { id: 976, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0120", batch_size: 194, epochs: 31, training_time: "58.07", accuracy: "0.8611", created_at: new Date("2022-12-16T12:34:02Z") },
            { id: 977, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0274", batch_size: 104, epochs: 6, training_time: "5.23", accuracy: "0.6792", created_at: new Date("2023-05-24T04:55:28Z") },
            { id: 978, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0921", batch_size: 169, epochs: 68, training_time: "1.46", accuracy: "0.5452", created_at: new Date("2023-02-13T21:47:31Z") },
            { id: 979, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0889", batch_size: 223, epochs: 97, training_time: "15.51", accuracy: "0.6235", created_at: new Date("2022-06-26T10:48:22Z") },
            { id: 980, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0449", batch_size: 158, epochs: 4, training_time: "67.24", accuracy: "0.9786", created_at: new Date("2022-08-13T18:19:06Z") },
            { id: 981, model_architecture: "LSTM", optimizer: "RMSprop", learning_rate: "0.0560", batch_size: 159, epochs: 68, training_time: "13.52", accuracy: "0.8166", created_at: new Date("2023-02-26T10:04:50Z") },
            { id: 982, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0294", batch_size: 128, epochs: 28, training_time: "4.85", accuracy: "0.1589", created_at: new Date("2023-10-02T18:22:11Z") },
            { id: 983, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0755", batch_size: 52, epochs: 99, training_time: "101.17", accuracy: "0.5553", created_at: new Date("2022-06-17T17:33:47Z") },
            { id: 984, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0873", batch_size: 232, epochs: 24, training_time: "46.97", accuracy: "0.6534", created_at: new Date("2022-05-11T15:54:37Z") },
            { id: 985, model_architecture: "Transformer", optimizer: "Adadelta", learning_rate: "0.0479", batch_size: 55, epochs: 50, training_time: "75.91", accuracy: "0.4679", created_at: new Date("2022-09-01T15:54:09Z") },
            { id: 986, model_architecture: "RNN", optimizer: "Adam", learning_rate: "0.0463", batch_size: 209, epochs: 36, training_time: "52.72", accuracy: "0.8624", created_at: new Date("2022-03-15T12:30:58Z") },
            { id: 987, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0173", batch_size: 44, epochs: 23, training_time: "2.98", accuracy: "0.2444", created_at: new Date("2023-11-19T11:39:14Z") },
            { id: 988, model_architecture: "CNN", optimizer: "Adadelta", learning_rate: "0.0934", batch_size: 102, epochs: 12, training_time: "0.83", accuracy: "0.7757", created_at: new Date("2022-03-19T13:24:42Z") },
            { id: 989, model_architecture: "RNN", optimizer: "RMSprop", learning_rate: "0.0779", batch_size: 168, epochs: 67, training_time: "11.34", accuracy: "0.6142", created_at: new Date("2022-03-03T15:10:38Z") },
            { id: 990, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0930", batch_size: 163, epochs: 7, training_time: "74.97", accuracy: "0.6410", created_at: new Date("2022-05-30T15:33:37Z") },
            { id: 991, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0720", batch_size: 137, epochs: 72, training_time: "4.89", accuracy: "0.7952", created_at: new Date("2022-06-24T11:10:59Z") },
            { id: 992, model_architecture: "CNN", optimizer: "Adam", learning_rate: "0.0941", batch_size: 187, epochs: 67, training_time: "7.72", accuracy: "0.6578", created_at: new Date("2023-08-09T14:04:16Z") },
            { id: 993, model_architecture: "LSTM", optimizer: "Adam", learning_rate: "0.0483", batch_size: 190, epochs: 21, training_time: "36.94", accuracy: "0.7322", created_at: new Date("2023-10-11T13:28:19Z") },
            { id: 994, model_architecture: "LSTM", optimizer: "SGD", learning_rate: "0.0450", batch_size: 119, epochs: 74, training_time: "8.43", accuracy: "0.9034", created_at: new Date("2022-02-22T18:29:51Z") },
            { id: 995, model_architecture: "RNN", optimizer: "SGD", learning_rate: "0.0911", batch_size: 213, epochs: 93, training_time: "17.29", accuracy: "0.9199", created_at: new Date("2022-03-30T08:59:24Z") },
            { id: 996, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0016", batch_size: 135, epochs: 82, training_time: "3.18", accuracy: "0.7159", created_at: new Date("2022-08-24T18:05:02Z") },
            { id: 997, model_architecture: "Transformer", optimizer: "SGD", learning_rate: "0.0921", batch_size: 47, epochs: 22, training_time: "46.47", accuracy: "0.8417", created_at: new Date("2023-08-25T13:28:42Z") },
            { id: 998, model_architecture: "CNN", optimizer: "SGD", learning_rate: "0.0911", batch_size: 152, epochs: 92, training_time: "9.42", accuracy: "0.9598", created_at: new Date("2022-06-30T17:42:58Z") },
            { id: 999, model_architecture: "Transformer", optimizer: "Adadelta", learning_rate: "0.0512", batch_size: 203, epochs: 4, training_time: "26.26", accuracy: "0.9884", created_at: new Date("2023-07-23T09:43:07Z") },
            { id: 1000, model_architecture: "Transformer", optimizer: "Adam", learning_rate: "0.0981", batch_size: 188, epochs: 33, training_time: "8.51", accuracy: "0.4591", created_at: new Date("2023-10-13T12:46:43Z") },
        ],
    });
}

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