{ "best_metric": 0.6876208897485493, "best_model_checkpoint": "spider_mt5-large_train_2/checkpoint-1664", "epoch": 575.8732876712329, "global_step": 1728, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.29, "learning_rate": 0.0001, "loss": 28.8064, "step": 1 }, { "epoch": 1.29, "learning_rate": 0.0001, "loss": 25.0484, "step": 4 }, { "epoch": 2.58, "learning_rate": 0.0001, "loss": 18.7727, "step": 8 }, { "epoch": 3.87, "learning_rate": 0.0001, "loss": 15.4019, "step": 12 }, { "epoch": 5.29, "learning_rate": 0.0001, "loss": 16.1009, "step": 16 }, { "epoch": 6.58, "learning_rate": 0.0001, "loss": 12.2971, "step": 20 }, { "epoch": 7.87, "learning_rate": 0.0001, "loss": 11.3401, "step": 24 }, { "epoch": 9.29, "learning_rate": 0.0001, "loss": 11.1614, "step": 28 }, { "epoch": 10.58, "learning_rate": 0.0001, "loss": 8.5996, "step": 32 }, { "epoch": 11.87, "learning_rate": 0.0001, "loss": 8.5339, "step": 36 }, { "epoch": 13.29, "learning_rate": 0.0001, "loss": 9.5784, "step": 40 }, { "epoch": 14.58, "learning_rate": 0.0001, "loss": 8.6372, "step": 44 }, { "epoch": 15.87, "learning_rate": 0.0001, "loss": 8.6748, "step": 48 }, { "epoch": 17.29, "learning_rate": 0.0001, "loss": 9.7059, "step": 52 }, { "epoch": 18.58, "learning_rate": 0.0001, "loss": 8.0709, "step": 56 }, { "epoch": 19.87, "learning_rate": 0.0001, "loss": 4.5224, "step": 60 }, { "epoch": 21.29, "learning_rate": 0.0001, "loss": 4.4262, "step": 64 }, { "epoch": 21.29, "eval_exact_match": 0.0, "eval_exec": 0.0, "eval_loss": 2.7989840507507324, "eval_runtime": 1066.0098, "eval_samples_per_second": 0.97, "step": 64 }, { "epoch": 22.58, "learning_rate": 0.0001, "loss": 4.8377, "step": 68 }, { "epoch": 23.87, "learning_rate": 0.0001, "loss": 5.1646, "step": 72 }, { "epoch": 25.29, "learning_rate": 0.0001, "loss": 5.1508, "step": 76 }, { "epoch": 26.58, "learning_rate": 0.0001, "loss": 4.2013, "step": 80 }, { "epoch": 27.87, "learning_rate": 0.0001, "loss": 3.9399, "step": 84 }, { "epoch": 29.29, "learning_rate": 0.0001, "loss": 4.236, "step": 88 }, { "epoch": 30.58, "learning_rate": 0.0001, "loss": 3.7905, "step": 92 }, { "epoch": 31.87, "learning_rate": 0.0001, "loss": 3.8221, "step": 96 }, { "epoch": 33.29, "learning_rate": 0.0001, "loss": 4.1696, "step": 100 }, { "epoch": 34.58, "learning_rate": 0.0001, "loss": 3.6, "step": 104 }, { "epoch": 35.87, "learning_rate": 0.0001, "loss": 3.0025, "step": 108 }, { "epoch": 37.29, "learning_rate": 0.0001, "loss": 2.8865, "step": 112 }, { "epoch": 38.58, "learning_rate": 0.0001, "loss": 2.0248, "step": 116 }, { "epoch": 39.87, "learning_rate": 0.0001, "loss": 1.8247, "step": 120 }, { "epoch": 41.29, "learning_rate": 0.0001, "loss": 1.8201, "step": 124 }, { "epoch": 42.58, "learning_rate": 0.0001, "loss": 1.6674, "step": 128 }, { "epoch": 42.58, "eval_exact_match": 0.03868471953578337, "eval_exec": 0.058027079303675046, "eval_loss": 1.1517833471298218, "eval_runtime": 576.6657, "eval_samples_per_second": 1.793, "step": 128 }, { "epoch": 43.87, "learning_rate": 0.0001, "loss": 2.0219, "step": 132 }, { "epoch": 45.29, "learning_rate": 0.0001, "loss": 2.4727, "step": 136 }, { "epoch": 46.58, "learning_rate": 0.0001, "loss": 1.7297, "step": 140 }, { "epoch": 47.87, "learning_rate": 0.0001, "loss": 1.7429, "step": 144 }, { "epoch": 49.29, "learning_rate": 0.0001, "loss": 1.9368, "step": 148 }, { "epoch": 50.58, "learning_rate": 0.0001, "loss": 1.5402, "step": 152 }, { "epoch": 51.87, "learning_rate": 0.0001, "loss": 1.2995, "step": 156 }, { "epoch": 53.29, "learning_rate": 0.0001, "loss": 1.2078, "step": 160 }, { "epoch": 54.58, "learning_rate": 0.0001, "loss": 0.9458, "step": 164 }, { "epoch": 55.87, "learning_rate": 0.0001, "loss": 0.8168, "step": 168 }, { "epoch": 57.29, "learning_rate": 0.0001, "loss": 0.7603, "step": 172 }, { "epoch": 58.58, "learning_rate": 0.0001, "loss": 0.6747, "step": 176 }, { "epoch": 59.87, "learning_rate": 0.0001, "loss": 0.649, "step": 180 }, { "epoch": 61.29, "learning_rate": 0.0001, "loss": 0.7529, "step": 184 }, { "epoch": 62.58, "learning_rate": 0.0001, "loss": 0.7392, "step": 188 }, { "epoch": 63.87, "learning_rate": 0.0001, "loss": 0.6694, "step": 192 }, { "epoch": 63.87, "eval_exact_match": 0.12959381044487428, "eval_exec": 0.15377176015473887, "eval_loss": 0.3512875437736511, "eval_runtime": 521.2463, "eval_samples_per_second": 1.984, "step": 192 }, { "epoch": 65.29, "learning_rate": 0.0001, "loss": 1.0501, "step": 196 }, { "epoch": 66.58, "learning_rate": 0.0001, "loss": 1.3722, "step": 200 }, { "epoch": 67.87, "learning_rate": 0.0001, "loss": 1.36, "step": 204 }, { "epoch": 69.29, "learning_rate": 0.0001, "loss": 1.0248, "step": 208 }, { "epoch": 70.58, "learning_rate": 0.0001, "loss": 0.6822, "step": 212 }, { "epoch": 71.87, "learning_rate": 0.0001, "loss": 0.7294, "step": 216 }, { "epoch": 73.29, "learning_rate": 0.0001, "loss": 0.8418, "step": 220 }, { "epoch": 74.58, "learning_rate": 0.0001, "loss": 0.7134, "step": 224 }, { "epoch": 75.87, "learning_rate": 0.0001, "loss": 0.6444, "step": 228 }, { "epoch": 77.29, "learning_rate": 0.0001, "loss": 0.6836, "step": 232 }, { "epoch": 78.58, "learning_rate": 0.0001, "loss": 0.6034, "step": 236 }, { "epoch": 79.87, "learning_rate": 0.0001, "loss": 0.564, "step": 240 }, { "epoch": 81.29, "learning_rate": 0.0001, "loss": 0.5818, "step": 244 }, { "epoch": 82.58, "learning_rate": 0.0001, "loss": 0.4964, "step": 248 }, { "epoch": 83.87, "learning_rate": 0.0001, "loss": 0.4724, "step": 252 }, { "epoch": 85.29, "learning_rate": 0.0001, "loss": 0.4921, "step": 256 }, { "epoch": 85.29, "eval_exact_match": 0.218568665377176, "eval_exec": 0.26692456479690524, "eval_loss": 0.2768532335758209, "eval_runtime": 509.4242, "eval_samples_per_second": 2.03, "step": 256 }, { "epoch": 86.58, "learning_rate": 0.0001, "loss": 0.4023, "step": 260 }, { "epoch": 87.87, "learning_rate": 0.0001, "loss": 0.3712, "step": 264 }, { "epoch": 89.29, "learning_rate": 0.0001, "loss": 0.3795, "step": 268 }, { "epoch": 90.58, "learning_rate": 0.0001, "loss": 0.3192, "step": 272 }, { "epoch": 91.87, "learning_rate": 0.0001, "loss": 0.3111, "step": 276 }, { "epoch": 93.29, "learning_rate": 0.0001, "loss": 0.3228, "step": 280 }, { "epoch": 94.58, "learning_rate": 0.0001, "loss": 0.281, "step": 284 }, { "epoch": 95.87, "learning_rate": 0.0001, "loss": 0.2615, "step": 288 }, { "epoch": 97.29, "learning_rate": 0.0001, "loss": 0.273, "step": 292 }, { "epoch": 98.58, "learning_rate": 0.0001, "loss": 0.2408, "step": 296 }, { "epoch": 99.87, "learning_rate": 0.0001, "loss": 0.223, "step": 300 }, { "epoch": 101.29, "learning_rate": 0.0001, "loss": 0.2331, "step": 304 }, { "epoch": 102.58, "learning_rate": 0.0001, "loss": 0.2043, "step": 308 }, { "epoch": 103.87, "learning_rate": 0.0001, "loss": 0.1914, "step": 312 }, { "epoch": 105.29, "learning_rate": 0.0001, "loss": 0.2019, "step": 316 }, { "epoch": 106.58, "learning_rate": 0.0001, "loss": 0.1745, "step": 320 }, { "epoch": 106.58, "eval_exact_match": 0.4961315280464217, "eval_exec": 0.5261121856866537, "eval_loss": 0.17989404499530792, "eval_runtime": 153.2046, "eval_samples_per_second": 6.749, "step": 320 }, { "epoch": 107.87, "learning_rate": 0.0001, "loss": 0.1671, "step": 324 }, { "epoch": 109.29, "learning_rate": 0.0001, "loss": 0.1767, "step": 328 }, { "epoch": 110.58, "learning_rate": 0.0001, "loss": 0.1555, "step": 332 }, { "epoch": 111.87, "learning_rate": 0.0001, "loss": 0.1452, "step": 336 }, { "epoch": 113.29, "learning_rate": 0.0001, "loss": 0.1539, "step": 340 }, { "epoch": 114.58, "learning_rate": 0.0001, "loss": 0.1405, "step": 344 }, { "epoch": 115.87, "learning_rate": 0.0001, "loss": 0.1347, "step": 348 }, { "epoch": 117.29, "learning_rate": 0.0001, "loss": 0.1371, "step": 352 }, { "epoch": 118.58, "learning_rate": 0.0001, "loss": 0.1222, "step": 356 }, { "epoch": 119.87, "learning_rate": 0.0001, "loss": 0.1198, "step": 360 }, { "epoch": 121.29, "learning_rate": 0.0001, "loss": 0.1264, "step": 364 }, { "epoch": 122.58, "learning_rate": 0.0001, "loss": 0.1163, "step": 368 }, { "epoch": 123.87, "learning_rate": 0.0001, "loss": 0.1093, "step": 372 }, { "epoch": 125.29, "learning_rate": 0.0001, "loss": 0.112, "step": 376 }, { "epoch": 126.58, "learning_rate": 0.0001, "loss": 0.1001, "step": 380 }, { "epoch": 127.87, "learning_rate": 0.0001, "loss": 0.1012, "step": 384 }, { "epoch": 127.87, "eval_exact_match": 0.5319148936170213, "eval_exec": 0.5773694390715667, "eval_loss": 0.16839821636676788, "eval_runtime": 192.7863, "eval_samples_per_second": 5.363, "step": 384 }, { "epoch": 129.29, "learning_rate": 0.0001, "loss": 0.107, "step": 388 }, { "epoch": 130.58, "learning_rate": 0.0001, "loss": 0.0979, "step": 392 }, { "epoch": 131.87, "learning_rate": 0.0001, "loss": 0.0936, "step": 396 }, { "epoch": 133.29, "learning_rate": 0.0001, "loss": 0.0949, "step": 400 }, { "epoch": 134.58, "learning_rate": 0.0001, "loss": 0.0881, "step": 404 }, { "epoch": 135.87, "learning_rate": 0.0001, "loss": 0.0841, "step": 408 }, { "epoch": 137.29, "learning_rate": 0.0001, "loss": 0.0899, "step": 412 }, { "epoch": 138.58, "learning_rate": 0.0001, "loss": 0.0791, "step": 416 }, { "epoch": 139.87, "learning_rate": 0.0001, "loss": 0.077, "step": 420 }, { "epoch": 141.29, "learning_rate": 0.0001, "loss": 0.0819, "step": 424 }, { "epoch": 142.58, "learning_rate": 0.0001, "loss": 0.0752, "step": 428 }, { "epoch": 143.87, "learning_rate": 0.0001, "loss": 0.0719, "step": 432 }, { "epoch": 145.29, "learning_rate": 0.0001, "loss": 0.0735, "step": 436 }, { "epoch": 146.58, "learning_rate": 0.0001, "loss": 0.0673, "step": 440 }, { "epoch": 147.87, "learning_rate": 0.0001, "loss": 0.0693, "step": 444 }, { "epoch": 149.29, "learning_rate": 0.0001, "loss": 0.0744, "step": 448 }, { "epoch": 149.29, "eval_exact_match": 0.6073500967117988, "eval_exec": 0.6479690522243714, "eval_loss": 0.18756793439388275, "eval_runtime": 163.9883, "eval_samples_per_second": 6.305, "step": 448 }, { "epoch": 150.58, "learning_rate": 0.0001, "loss": 0.0623, "step": 452 }, { "epoch": 151.87, "learning_rate": 0.0001, "loss": 0.0612, "step": 456 }, { "epoch": 153.29, "learning_rate": 0.0001, "loss": 0.0644, "step": 460 }, { "epoch": 154.58, "learning_rate": 0.0001, "loss": 0.0582, "step": 464 }, { "epoch": 155.87, "learning_rate": 0.0001, "loss": 0.0588, "step": 468 }, { "epoch": 157.29, "learning_rate": 0.0001, "loss": 0.0618, "step": 472 }, { "epoch": 158.58, "learning_rate": 0.0001, "loss": 0.0585, "step": 476 }, { "epoch": 159.87, "learning_rate": 0.0001, "loss": 0.0522, "step": 480 }, { "epoch": 161.29, "learning_rate": 0.0001, "loss": 0.0545, "step": 484 }, { "epoch": 162.58, "learning_rate": 0.0001, "loss": 0.048, "step": 488 }, { "epoch": 163.87, "learning_rate": 0.0001, "loss": 0.0479, "step": 492 }, { "epoch": 165.29, "learning_rate": 0.0001, "loss": 0.0539, "step": 496 }, { "epoch": 166.58, "learning_rate": 0.0001, "loss": 0.0472, "step": 500 }, { "epoch": 167.87, "learning_rate": 0.0001, "loss": 0.0474, "step": 504 }, { "epoch": 169.29, "learning_rate": 0.0001, "loss": 0.0497, "step": 508 }, { "epoch": 170.58, "learning_rate": 0.0001, "loss": 0.0437, "step": 512 }, { "epoch": 170.58, "eval_exact_match": 0.6373307543520309, "eval_exec": 0.6808510638297872, "eval_loss": 0.19132167100906372, "eval_runtime": 188.4194, "eval_samples_per_second": 5.488, "step": 512 }, { "epoch": 171.87, "learning_rate": 0.0001, "loss": 0.043, "step": 516 }, { "epoch": 173.29, "learning_rate": 0.0001, "loss": 0.0484, "step": 520 }, { "epoch": 174.58, "learning_rate": 0.0001, "loss": 0.0405, "step": 524 }, { "epoch": 175.87, "learning_rate": 0.0001, "loss": 0.0387, "step": 528 }, { "epoch": 177.29, "learning_rate": 0.0001, "loss": 0.0408, "step": 532 }, { "epoch": 178.58, "learning_rate": 0.0001, "loss": 0.0401, "step": 536 }, { "epoch": 179.87, "learning_rate": 0.0001, "loss": 0.0372, "step": 540 }, { "epoch": 181.29, "learning_rate": 0.0001, "loss": 0.038, "step": 544 }, { "epoch": 182.58, "learning_rate": 0.0001, "loss": 0.0342, "step": 548 }, { "epoch": 183.87, "learning_rate": 0.0001, "loss": 0.0335, "step": 552 }, { "epoch": 185.29, "learning_rate": 0.0001, "loss": 0.0362, "step": 556 }, { "epoch": 186.58, "learning_rate": 0.0001, "loss": 0.0392, "step": 560 }, { "epoch": 187.87, "learning_rate": 0.0001, "loss": 0.0352, "step": 564 }, { "epoch": 189.29, "learning_rate": 0.0001, "loss": 0.0341, "step": 568 }, { "epoch": 190.58, "learning_rate": 0.0001, "loss": 0.0325, "step": 572 }, { "epoch": 191.87, "learning_rate": 0.0001, "loss": 0.0286, "step": 576 }, { "epoch": 191.87, "eval_exact_match": 0.6315280464216635, "eval_exec": 0.6634429400386848, "eval_loss": 0.21305637061595917, "eval_runtime": 175.1232, "eval_samples_per_second": 5.904, "step": 576 }, { "epoch": 193.29, "learning_rate": 0.0001, "loss": 0.0315, "step": 580 }, { "epoch": 194.58, "learning_rate": 0.0001, "loss": 0.0298, "step": 584 }, { "epoch": 195.87, "learning_rate": 0.0001, "loss": 0.0282, "step": 588 }, { "epoch": 197.29, "learning_rate": 0.0001, "loss": 0.0293, "step": 592 }, { "epoch": 198.58, "learning_rate": 0.0001, "loss": 0.0254, "step": 596 }, { "epoch": 199.87, "learning_rate": 0.0001, "loss": 0.0256, "step": 600 }, { "epoch": 201.29, "learning_rate": 0.0001, "loss": 0.0288, "step": 604 }, { "epoch": 202.58, "learning_rate": 0.0001, "loss": 0.0283, "step": 608 }, { "epoch": 203.87, "learning_rate": 0.0001, "loss": 0.0259, "step": 612 }, { "epoch": 205.29, "learning_rate": 0.0001, "loss": 0.0263, "step": 616 }, { "epoch": 206.58, "learning_rate": 0.0001, "loss": 0.0228, "step": 620 }, { "epoch": 207.87, "learning_rate": 0.0001, "loss": 0.0228, "step": 624 }, { "epoch": 209.29, "learning_rate": 0.0001, "loss": 0.0246, "step": 628 }, { "epoch": 210.58, "learning_rate": 0.0001, "loss": 0.0225, "step": 632 }, { "epoch": 211.87, "learning_rate": 0.0001, "loss": 0.0242, "step": 636 }, { "epoch": 213.29, "learning_rate": 0.0001, "loss": 0.0239, "step": 640 }, { "epoch": 213.29, "eval_exact_match": 0.6624758220502901, "eval_exec": 0.690522243713733, "eval_loss": 0.23541121184825897, "eval_runtime": 171.3767, "eval_samples_per_second": 6.033, "step": 640 }, { "epoch": 214.58, "learning_rate": 0.0001, "loss": 0.0197, "step": 644 }, { "epoch": 215.87, "learning_rate": 0.0001, "loss": 0.0189, "step": 648 }, { "epoch": 217.29, "learning_rate": 0.0001, "loss": 0.0223, "step": 652 }, { "epoch": 218.58, "learning_rate": 0.0001, "loss": 0.0193, "step": 656 }, { "epoch": 219.87, "learning_rate": 0.0001, "loss": 0.0191, "step": 660 }, { "epoch": 221.29, "learning_rate": 0.0001, "loss": 0.0198, "step": 664 }, { "epoch": 222.58, "learning_rate": 0.0001, "loss": 0.018, "step": 668 }, { "epoch": 223.87, "learning_rate": 0.0001, "loss": 0.0188, "step": 672 }, { "epoch": 225.29, "learning_rate": 0.0001, "loss": 0.0189, "step": 676 }, { "epoch": 226.58, "learning_rate": 0.0001, "loss": 0.017, "step": 680 }, { "epoch": 227.87, "learning_rate": 0.0001, "loss": 0.0165, "step": 684 }, { "epoch": 229.29, "learning_rate": 0.0001, "loss": 0.0179, "step": 688 }, { "epoch": 230.58, "learning_rate": 0.0001, "loss": 0.0177, "step": 692 }, { "epoch": 231.87, "learning_rate": 0.0001, "loss": 0.0154, "step": 696 }, { "epoch": 233.29, "learning_rate": 0.0001, "loss": 0.0152, "step": 700 }, { "epoch": 234.58, "learning_rate": 0.0001, "loss": 0.0141, "step": 704 }, { "epoch": 234.58, "eval_exact_match": 0.6266924564796905, "eval_exec": 0.6692456479690522, "eval_loss": 0.2685522735118866, "eval_runtime": 184.1044, "eval_samples_per_second": 5.616, "step": 704 }, { "epoch": 235.87, "learning_rate": 0.0001, "loss": 0.0168, "step": 708 }, { "epoch": 237.29, "learning_rate": 0.0001, "loss": 0.0194, "step": 712 }, { "epoch": 238.58, "learning_rate": 0.0001, "loss": 0.0197, "step": 716 }, { "epoch": 239.87, "learning_rate": 0.0001, "loss": 0.0152, "step": 720 }, { "epoch": 241.29, "learning_rate": 0.0001, "loss": 0.0148, "step": 724 }, { "epoch": 242.58, "learning_rate": 0.0001, "loss": 0.0136, "step": 728 }, { "epoch": 243.87, "learning_rate": 0.0001, "loss": 0.0133, "step": 732 }, { "epoch": 245.29, "learning_rate": 0.0001, "loss": 0.0144, "step": 736 }, { "epoch": 246.58, "learning_rate": 0.0001, "loss": 0.0176, "step": 740 }, { "epoch": 247.87, "learning_rate": 0.0001, "loss": 0.0125, "step": 744 }, { "epoch": 249.29, "learning_rate": 0.0001, "loss": 0.0126, "step": 748 }, { "epoch": 250.58, "learning_rate": 0.0001, "loss": 0.0114, "step": 752 }, { "epoch": 251.87, "learning_rate": 0.0001, "loss": 0.0129, "step": 756 }, { "epoch": 253.29, "learning_rate": 0.0001, "loss": 0.0141, "step": 760 }, { "epoch": 254.58, "learning_rate": 0.0001, "loss": 0.0102, "step": 764 }, { "epoch": 255.87, "learning_rate": 0.0001, "loss": 0.0106, "step": 768 }, { "epoch": 255.87, "eval_exact_match": 0.648936170212766, "eval_exec": 0.6866537717601547, "eval_loss": 0.28018897771835327, "eval_runtime": 176.9187, "eval_samples_per_second": 5.844, "step": 768 }, { "epoch": 257.29, "learning_rate": 0.0001, "loss": 0.0119, "step": 772 }, { "epoch": 258.58, "learning_rate": 0.0001, "loss": 0.01, "step": 776 }, { "epoch": 259.87, "learning_rate": 0.0001, "loss": 0.01, "step": 780 }, { "epoch": 261.29, "learning_rate": 0.0001, "loss": 0.0108, "step": 784 }, { "epoch": 262.58, "learning_rate": 0.0001, "loss": 0.0101, "step": 788 }, { "epoch": 263.87, "learning_rate": 0.0001, "loss": 0.0112, "step": 792 }, { "epoch": 265.29, "learning_rate": 0.0001, "loss": 0.0108, "step": 796 }, { "epoch": 266.58, "learning_rate": 0.0001, "loss": 0.0096, "step": 800 }, { "epoch": 267.87, "learning_rate": 0.0001, "loss": 0.0087, "step": 804 }, { "epoch": 269.29, "learning_rate": 0.0001, "loss": 0.0105, "step": 808 }, { "epoch": 270.58, "learning_rate": 0.0001, "loss": 0.0097, "step": 812 }, { "epoch": 271.87, "learning_rate": 0.0001, "loss": 0.0081, "step": 816 }, { "epoch": 273.29, "learning_rate": 0.0001, "loss": 0.0095, "step": 820 }, { "epoch": 274.58, "learning_rate": 0.0001, "loss": 0.0078, "step": 824 }, { "epoch": 275.87, "learning_rate": 0.0001, "loss": 0.008, "step": 828 }, { "epoch": 277.29, "learning_rate": 0.0001, "loss": 0.0101, "step": 832 }, { "epoch": 277.29, "eval_exact_match": 0.6760154738878144, "eval_exec": 0.7050290135396519, "eval_loss": 0.28687429428100586, "eval_runtime": 171.0426, "eval_samples_per_second": 6.045, "step": 832 }, { "epoch": 278.58, "learning_rate": 0.0001, "loss": 0.0086, "step": 836 }, { "epoch": 279.87, "learning_rate": 0.0001, "loss": 0.0077, "step": 840 }, { "epoch": 281.29, "learning_rate": 0.0001, "loss": 0.0084, "step": 844 }, { "epoch": 282.58, "learning_rate": 0.0001, "loss": 0.0073, "step": 848 }, { "epoch": 283.87, "learning_rate": 0.0001, "loss": 0.0072, "step": 852 }, { "epoch": 285.29, "learning_rate": 0.0001, "loss": 0.0081, "step": 856 }, { "epoch": 286.58, "learning_rate": 0.0001, "loss": 0.0075, "step": 860 }, { "epoch": 287.87, "learning_rate": 0.0001, "loss": 0.0071, "step": 864 }, { "epoch": 289.29, "learning_rate": 0.0001, "loss": 0.0076, "step": 868 }, { "epoch": 290.58, "learning_rate": 0.0001, "loss": 0.0064, "step": 872 }, { "epoch": 291.87, "learning_rate": 0.0001, "loss": 0.0066, "step": 876 }, { "epoch": 293.29, "learning_rate": 0.0001, "loss": 0.0075, "step": 880 }, { "epoch": 294.58, "learning_rate": 0.0001, "loss": 0.0071, "step": 884 }, { "epoch": 295.87, "learning_rate": 0.0001, "loss": 0.0059, "step": 888 }, { "epoch": 297.29, "learning_rate": 0.0001, "loss": 0.0063, "step": 892 }, { "epoch": 298.58, "learning_rate": 0.0001, "loss": 0.0059, "step": 896 }, { "epoch": 298.58, "eval_exact_match": 0.6460348162475822, "eval_exec": 0.6914893617021277, "eval_loss": 0.31529420614242554, "eval_runtime": 178.51, "eval_samples_per_second": 5.792, "step": 896 }, { "epoch": 299.87, "learning_rate": 0.0001, "loss": 0.0058, "step": 900 }, { "epoch": 301.29, "learning_rate": 0.0001, "loss": 0.0068, "step": 904 }, { "epoch": 302.58, "learning_rate": 0.0001, "loss": 0.0081, "step": 908 }, { "epoch": 303.87, "learning_rate": 0.0001, "loss": 0.0058, "step": 912 }, { "epoch": 305.29, "learning_rate": 0.0001, "loss": 0.0058, "step": 916 }, { "epoch": 306.58, "learning_rate": 0.0001, "loss": 0.005, "step": 920 }, { "epoch": 307.87, "learning_rate": 0.0001, "loss": 0.0053, "step": 924 }, { "epoch": 309.29, "learning_rate": 0.0001, "loss": 0.0055, "step": 928 }, { "epoch": 310.58, "learning_rate": 0.0001, "loss": 0.005, "step": 932 }, { "epoch": 311.87, "learning_rate": 0.0001, "loss": 0.0057, "step": 936 }, { "epoch": 313.29, "learning_rate": 0.0001, "loss": 0.0066, "step": 940 }, { "epoch": 314.58, "learning_rate": 0.0001, "loss": 0.0052, "step": 944 }, { "epoch": 315.87, "learning_rate": 0.0001, "loss": 0.0047, "step": 948 }, { "epoch": 317.29, "learning_rate": 0.0001, "loss": 0.0058, "step": 952 }, { "epoch": 318.58, "learning_rate": 0.0001, "loss": 0.0095, "step": 956 }, { "epoch": 319.87, "learning_rate": 0.0001, "loss": 0.0048, "step": 960 }, { "epoch": 319.87, "eval_exact_match": 0.6576402321083172, "eval_exec": 0.6914893617021277, "eval_loss": 0.3037155270576477, "eval_runtime": 178.5948, "eval_samples_per_second": 5.79, "step": 960 }, { "epoch": 321.29, "learning_rate": 0.0001, "loss": 0.005, "step": 964 }, { "epoch": 322.58, "learning_rate": 0.0001, "loss": 0.0043, "step": 968 }, { "epoch": 323.87, "learning_rate": 0.0001, "loss": 0.0043, "step": 972 }, { "epoch": 325.29, "learning_rate": 0.0001, "loss": 0.0049, "step": 976 }, { "epoch": 326.58, "learning_rate": 0.0001, "loss": 0.0051, "step": 980 }, { "epoch": 327.87, "learning_rate": 0.0001, "loss": 0.0047, "step": 984 }, { "epoch": 329.29, "learning_rate": 0.0001, "loss": 0.0044, "step": 988 }, { "epoch": 330.58, "learning_rate": 0.0001, "loss": 0.0037, "step": 992 }, { "epoch": 331.87, "learning_rate": 0.0001, "loss": 0.0038, "step": 996 }, { "epoch": 333.29, "learning_rate": 0.0001, "loss": 0.0042, "step": 1000 }, { "epoch": 334.58, "learning_rate": 0.0001, "loss": 0.0042, "step": 1004 }, { "epoch": 335.87, "learning_rate": 0.0001, "loss": 0.0038, "step": 1008 }, { "epoch": 337.29, "learning_rate": 0.0001, "loss": 0.004, "step": 1012 }, { "epoch": 338.58, "learning_rate": 0.0001, "loss": 0.0035, "step": 1016 }, { "epoch": 339.87, "learning_rate": 0.0001, "loss": 0.004, "step": 1020 }, { "epoch": 341.29, "learning_rate": 0.0001, "loss": 0.004, "step": 1024 }, { "epoch": 341.29, "eval_exact_match": 0.6586073500967118, "eval_exec": 0.6924564796905223, "eval_loss": 0.33920130133628845, "eval_runtime": 178.406, "eval_samples_per_second": 5.796, "step": 1024 }, { "epoch": 342.58, "learning_rate": 0.0001, "loss": 0.0038, "step": 1028 }, { "epoch": 343.87, "learning_rate": 0.0001, "loss": 0.0036, "step": 1032 }, { "epoch": 345.29, "learning_rate": 0.0001, "loss": 0.0041, "step": 1036 }, { "epoch": 346.58, "learning_rate": 0.0001, "loss": 0.0035, "step": 1040 }, { "epoch": 347.87, "learning_rate": 0.0001, "loss": 0.0036, "step": 1044 }, { "epoch": 349.29, "learning_rate": 0.0001, "loss": 0.0036, "step": 1048 }, { "epoch": 350.58, "learning_rate": 0.0001, "loss": 0.0036, "step": 1052 }, { "epoch": 351.87, "learning_rate": 0.0001, "loss": 0.0036, "step": 1056 }, { "epoch": 353.29, "learning_rate": 0.0001, "loss": 0.004, "step": 1060 }, { "epoch": 354.58, "learning_rate": 0.0001, "loss": 0.0032, "step": 1064 }, { "epoch": 355.87, "learning_rate": 0.0001, "loss": 0.0031, "step": 1068 }, { "epoch": 357.29, "learning_rate": 0.0001, "loss": 0.0038, "step": 1072 }, { "epoch": 358.58, "learning_rate": 0.0001, "loss": 0.0027, "step": 1076 }, { "epoch": 359.87, "learning_rate": 0.0001, "loss": 0.003, "step": 1080 }, { "epoch": 361.29, "learning_rate": 0.0001, "loss": 0.0033, "step": 1084 }, { "epoch": 362.58, "learning_rate": 0.0001, "loss": 0.0027, "step": 1088 }, { "epoch": 362.58, "eval_exact_match": 0.6644100580270793, "eval_exec": 0.6934235976789168, "eval_loss": 0.3492871820926666, "eval_runtime": 178.1643, "eval_samples_per_second": 5.804, "step": 1088 }, { "epoch": 363.87, "learning_rate": 0.0001, "loss": 0.0029, "step": 1092 }, { "epoch": 365.29, "learning_rate": 0.0001, "loss": 0.0029, "step": 1096 }, { "epoch": 366.58, "learning_rate": 0.0001, "loss": 0.0029, "step": 1100 }, { "epoch": 367.87, "learning_rate": 0.0001, "loss": 0.0026, "step": 1104 }, { "epoch": 369.29, "learning_rate": 0.0001, "loss": 0.0033, "step": 1108 }, { "epoch": 370.58, "learning_rate": 0.0001, "loss": 0.0028, "step": 1112 }, { "epoch": 371.87, "learning_rate": 0.0001, "loss": 0.0031, "step": 1116 }, { "epoch": 373.29, "learning_rate": 0.0001, "loss": 0.0043, "step": 1120 }, { "epoch": 374.58, "learning_rate": 0.0001, "loss": 0.0026, "step": 1124 }, { "epoch": 375.87, "learning_rate": 0.0001, "loss": 0.0024, "step": 1128 }, { "epoch": 377.29, "learning_rate": 0.0001, "loss": 0.0027, "step": 1132 }, { "epoch": 378.58, "learning_rate": 0.0001, "loss": 0.0026, "step": 1136 }, { "epoch": 379.87, "learning_rate": 0.0001, "loss": 0.0025, "step": 1140 }, { "epoch": 381.29, "learning_rate": 0.0001, "loss": 0.0028, "step": 1144 }, { "epoch": 382.58, "learning_rate": 0.0001, "loss": 0.0027, "step": 1148 }, { "epoch": 383.87, "learning_rate": 0.0001, "loss": 0.0024, "step": 1152 }, { "epoch": 383.87, "eval_exact_match": 0.6595744680851063, "eval_exec": 0.690522243713733, "eval_loss": 0.3714405298233032, "eval_runtime": 175.1619, "eval_samples_per_second": 5.903, "step": 1152 }, { "epoch": 385.29, "learning_rate": 0.0001, "loss": 0.0028, "step": 1156 }, { "epoch": 386.58, "learning_rate": 0.0001, "loss": 0.0023, "step": 1160 }, { "epoch": 387.87, "learning_rate": 0.0001, "loss": 0.0024, "step": 1164 }, { "epoch": 389.29, "learning_rate": 0.0001, "loss": 0.0025, "step": 1168 }, { "epoch": 390.58, "learning_rate": 0.0001, "loss": 0.0023, "step": 1172 }, { "epoch": 391.87, "learning_rate": 0.0001, "loss": 0.0022, "step": 1176 }, { "epoch": 393.29, "learning_rate": 0.0001, "loss": 0.0025, "step": 1180 }, { "epoch": 394.58, "learning_rate": 0.0001, "loss": 0.0023, "step": 1184 }, { "epoch": 395.87, "learning_rate": 0.0001, "loss": 0.0023, "step": 1188 }, { "epoch": 397.29, "learning_rate": 0.0001, "loss": 0.0027, "step": 1192 }, { "epoch": 398.58, "learning_rate": 0.0001, "loss": 0.0024, "step": 1196 }, { "epoch": 399.87, "learning_rate": 0.0001, "loss": 0.0021, "step": 1200 }, { "epoch": 401.29, "learning_rate": 0.0001, "loss": 0.0024, "step": 1204 }, { "epoch": 402.58, "learning_rate": 0.0001, "loss": 0.0022, "step": 1208 }, { "epoch": 403.87, "learning_rate": 0.0001, "loss": 0.0021, "step": 1212 }, { "epoch": 405.29, "learning_rate": 0.0001, "loss": 0.0024, "step": 1216 }, { "epoch": 405.29, "eval_exact_match": 0.6586073500967118, "eval_exec": 0.6856866537717602, "eval_loss": 0.37175869941711426, "eval_runtime": 170.7264, "eval_samples_per_second": 6.056, "step": 1216 }, { "epoch": 406.58, "learning_rate": 0.0001, "loss": 0.0021, "step": 1220 }, { "epoch": 407.87, "learning_rate": 0.0001, "loss": 0.0019, "step": 1224 }, { "epoch": 409.29, "learning_rate": 0.0001, "loss": 0.0022, "step": 1228 }, { "epoch": 410.58, "learning_rate": 0.0001, "loss": 0.0019, "step": 1232 }, { "epoch": 411.87, "learning_rate": 0.0001, "loss": 0.002, "step": 1236 }, { "epoch": 413.29, "learning_rate": 0.0001, "loss": 0.0022, "step": 1240 }, { "epoch": 414.58, "learning_rate": 0.0001, "loss": 0.0018, "step": 1244 }, { "epoch": 415.87, "learning_rate": 0.0001, "loss": 0.0019, "step": 1248 }, { "epoch": 417.29, "learning_rate": 0.0001, "loss": 0.0021, "step": 1252 }, { "epoch": 418.58, "learning_rate": 0.0001, "loss": 0.0018, "step": 1256 }, { "epoch": 419.87, "learning_rate": 0.0001, "loss": 0.0018, "step": 1260 }, { "epoch": 421.29, "learning_rate": 0.0001, "loss": 0.0019, "step": 1264 }, { "epoch": 422.58, "learning_rate": 0.0001, "loss": 0.0019, "step": 1268 }, { "epoch": 423.87, "learning_rate": 0.0001, "loss": 0.0018, "step": 1272 }, { "epoch": 425.29, "learning_rate": 0.0001, "loss": 0.0022, "step": 1276 }, { "epoch": 426.58, "learning_rate": 0.0001, "loss": 0.0021, "step": 1280 }, { "epoch": 426.58, "eval_exact_match": 0.6624758220502901, "eval_exec": 0.6914893617021277, "eval_loss": 0.38388630747795105, "eval_runtime": 174.5992, "eval_samples_per_second": 5.922, "step": 1280 }, { "epoch": 427.87, "learning_rate": 0.0001, "loss": 0.0113, "step": 1284 }, { "epoch": 429.29, "learning_rate": 0.0001, "loss": 0.0029, "step": 1288 }, { "epoch": 430.58, "learning_rate": 0.0001, "loss": 0.0016, "step": 1292 }, { "epoch": 431.87, "learning_rate": 0.0001, "loss": 0.0016, "step": 1296 }, { "epoch": 433.29, "learning_rate": 0.0001, "loss": 0.0015, "step": 1300 }, { "epoch": 434.58, "learning_rate": 0.0001, "loss": 0.0021, "step": 1304 }, { "epoch": 435.87, "learning_rate": 0.0001, "loss": 0.0017, "step": 1308 }, { "epoch": 437.29, "learning_rate": 0.0001, "loss": 0.002, "step": 1312 }, { "epoch": 438.58, "learning_rate": 0.0001, "loss": 0.0017, "step": 1316 }, { "epoch": 439.87, "learning_rate": 0.0001, "loss": 0.0022, "step": 1320 }, { "epoch": 441.29, "learning_rate": 0.0001, "loss": 0.0019, "step": 1324 }, { "epoch": 442.58, "learning_rate": 0.0001, "loss": 0.0016, "step": 1328 }, { "epoch": 443.87, "learning_rate": 0.0001, "loss": 0.0023, "step": 1332 }, { "epoch": 445.29, "learning_rate": 0.0001, "loss": 0.0018, "step": 1336 }, { "epoch": 446.58, "learning_rate": 0.0001, "loss": 0.0017, "step": 1340 }, { "epoch": 447.87, "learning_rate": 0.0001, "loss": 0.0016, "step": 1344 }, { "epoch": 447.87, "eval_exact_match": 0.6673114119922631, "eval_exec": 0.7040618955512572, "eval_loss": 0.3832179009914398, "eval_runtime": 175.6301, "eval_samples_per_second": 5.887, "step": 1344 }, { "epoch": 449.29, "learning_rate": 0.0001, "loss": 0.0016, "step": 1348 }, { "epoch": 450.58, "learning_rate": 0.0001, "loss": 0.0015, "step": 1352 }, { "epoch": 451.87, "learning_rate": 0.0001, "loss": 0.0017, "step": 1356 }, { "epoch": 453.29, "learning_rate": 0.0001, "loss": 0.0017, "step": 1360 }, { "epoch": 454.58, "learning_rate": 0.0001, "loss": 0.0015, "step": 1364 }, { "epoch": 455.87, "learning_rate": 0.0001, "loss": 0.0014, "step": 1368 }, { "epoch": 457.29, "learning_rate": 0.0001, "loss": 0.0017, "step": 1372 }, { "epoch": 458.58, "learning_rate": 0.0001, "loss": 0.0016, "step": 1376 }, { "epoch": 459.87, "learning_rate": 0.0001, "loss": 0.0017, "step": 1380 }, { "epoch": 461.29, "learning_rate": 0.0001, "loss": 0.0014, "step": 1384 }, { "epoch": 462.58, "learning_rate": 0.0001, "loss": 0.0018, "step": 1388 }, { "epoch": 463.87, "learning_rate": 0.0001, "loss": 0.0015, "step": 1392 }, { "epoch": 465.29, "learning_rate": 0.0001, "loss": 0.0015, "step": 1396 }, { "epoch": 466.58, "learning_rate": 0.0001, "loss": 0.0016, "step": 1400 }, { "epoch": 467.87, "learning_rate": 0.0001, "loss": 0.0013, "step": 1404 }, { "epoch": 469.29, "learning_rate": 0.0001, "loss": 0.004, "step": 1408 }, { "epoch": 469.29, "eval_exact_match": 0.6431334622823984, "eval_exec": 0.688588007736944, "eval_loss": 0.35097846388816833, "eval_runtime": 179.7423, "eval_samples_per_second": 5.753, "step": 1408 }, { "epoch": 470.58, "learning_rate": 0.0001, "loss": 0.0037, "step": 1412 }, { "epoch": 471.87, "learning_rate": 0.0001, "loss": 0.0019, "step": 1416 }, { "epoch": 473.29, "learning_rate": 0.0001, "loss": 0.0015, "step": 1420 }, { "epoch": 474.58, "learning_rate": 0.0001, "loss": 0.0016, "step": 1424 }, { "epoch": 475.87, "learning_rate": 0.0001, "loss": 0.0014, "step": 1428 }, { "epoch": 477.29, "learning_rate": 0.0001, "loss": 0.0016, "step": 1432 }, { "epoch": 478.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1436 }, { "epoch": 479.87, "learning_rate": 0.0001, "loss": 0.0013, "step": 1440 }, { "epoch": 481.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1444 }, { "epoch": 482.58, "learning_rate": 0.0001, "loss": 0.0047, "step": 1448 }, { "epoch": 483.87, "learning_rate": 0.0001, "loss": 0.002, "step": 1452 }, { "epoch": 485.29, "learning_rate": 0.0001, "loss": 0.0014, "step": 1456 }, { "epoch": 486.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1460 }, { "epoch": 487.87, "learning_rate": 0.0001, "loss": 0.0013, "step": 1464 }, { "epoch": 489.29, "learning_rate": 0.0001, "loss": 0.0014, "step": 1468 }, { "epoch": 490.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1472 }, { "epoch": 490.58, "eval_exact_match": 0.6663442940038685, "eval_exec": 0.6982591876208898, "eval_loss": 0.38962414860725403, "eval_runtime": 177.5423, "eval_samples_per_second": 5.824, "step": 1472 }, { "epoch": 491.87, "learning_rate": 0.0001, "loss": 0.0012, "step": 1476 }, { "epoch": 493.29, "learning_rate": 0.0001, "loss": 0.0013, "step": 1480 }, { "epoch": 494.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1484 }, { "epoch": 495.87, "learning_rate": 0.0001, "loss": 0.0013, "step": 1488 }, { "epoch": 497.29, "learning_rate": 0.0001, "loss": 0.0011, "step": 1492 }, { "epoch": 498.58, "learning_rate": 0.0001, "loss": 0.0011, "step": 1496 }, { "epoch": 499.87, "learning_rate": 0.0001, "loss": 0.0011, "step": 1500 }, { "epoch": 501.29, "learning_rate": 0.0001, "loss": 0.0011, "step": 1504 }, { "epoch": 502.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1508 }, { "epoch": 503.87, "learning_rate": 0.0001, "loss": 0.001, "step": 1512 }, { "epoch": 505.29, "learning_rate": 0.0001, "loss": 0.0012, "step": 1516 }, { "epoch": 506.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1520 }, { "epoch": 507.87, "learning_rate": 0.0001, "loss": 0.001, "step": 1524 }, { "epoch": 509.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1528 }, { "epoch": 510.58, "learning_rate": 0.0001, "loss": 0.0011, "step": 1532 }, { "epoch": 511.87, "learning_rate": 0.0001, "loss": 0.0042, "step": 1536 }, { "epoch": 511.87, "eval_exact_match": 0.6750483558994197, "eval_exec": 0.6963249516441006, "eval_loss": 0.3574667274951935, "eval_runtime": 173.0162, "eval_samples_per_second": 5.976, "step": 1536 }, { "epoch": 513.29, "learning_rate": 0.0001, "loss": 0.0014, "step": 1540 }, { "epoch": 514.58, "learning_rate": 0.0001, "loss": 0.0012, "step": 1544 }, { "epoch": 515.87, "learning_rate": 0.0001, "loss": 0.0011, "step": 1548 }, { "epoch": 517.29, "learning_rate": 0.0001, "loss": 0.0012, "step": 1552 }, { "epoch": 518.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1556 }, { "epoch": 519.87, "learning_rate": 0.0001, "loss": 0.0012, "step": 1560 }, { "epoch": 521.29, "learning_rate": 0.0001, "loss": 0.0014, "step": 1564 }, { "epoch": 522.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1568 }, { "epoch": 523.87, "learning_rate": 0.0001, "loss": 0.0012, "step": 1572 }, { "epoch": 525.29, "learning_rate": 0.0001, "loss": 0.0011, "step": 1576 }, { "epoch": 526.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1580 }, { "epoch": 527.87, "learning_rate": 0.0001, "loss": 0.0011, "step": 1584 }, { "epoch": 529.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1588 }, { "epoch": 530.58, "learning_rate": 0.0001, "loss": 0.0009, "step": 1592 }, { "epoch": 531.87, "learning_rate": 0.0001, "loss": 0.001, "step": 1596 }, { "epoch": 533.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1600 }, { "epoch": 533.29, "eval_exact_match": 0.6644100580270793, "eval_exec": 0.6982591876208898, "eval_loss": 0.40679118037223816, "eval_runtime": 180.9433, "eval_samples_per_second": 5.714, "step": 1600 }, { "epoch": 534.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1604 }, { "epoch": 535.87, "learning_rate": 0.0001, "loss": 0.0009, "step": 1608 }, { "epoch": 537.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1612 }, { "epoch": 538.58, "learning_rate": 0.0001, "loss": 0.0009, "step": 1616 }, { "epoch": 539.87, "learning_rate": 0.0001, "loss": 0.0012, "step": 1620 }, { "epoch": 541.29, "learning_rate": 0.0001, "loss": 0.0059, "step": 1624 }, { "epoch": 542.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1628 }, { "epoch": 543.87, "learning_rate": 0.0001, "loss": 0.0009, "step": 1632 }, { "epoch": 545.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1636 }, { "epoch": 546.58, "learning_rate": 0.0001, "loss": 0.0008, "step": 1640 }, { "epoch": 547.87, "learning_rate": 0.0001, "loss": 0.0008, "step": 1644 }, { "epoch": 549.29, "learning_rate": 0.0001, "loss": 0.0009, "step": 1648 }, { "epoch": 550.58, "learning_rate": 0.0001, "loss": 0.0013, "step": 1652 }, { "epoch": 551.87, "learning_rate": 0.0001, "loss": 0.0007, "step": 1656 }, { "epoch": 553.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1660 }, { "epoch": 554.58, "learning_rate": 0.0001, "loss": 0.001, "step": 1664 }, { "epoch": 554.58, "eval_exact_match": 0.6876208897485493, "eval_exec": 0.7156673114119922, "eval_loss": 0.4119175374507904, "eval_runtime": 172.8345, "eval_samples_per_second": 5.983, "step": 1664 }, { "epoch": 555.87, "learning_rate": 0.0001, "loss": 0.0009, "step": 1668 }, { "epoch": 557.29, "learning_rate": 0.0001, "loss": 0.0009, "step": 1672 }, { "epoch": 558.58, "learning_rate": 0.0001, "loss": 0.0007, "step": 1676 }, { "epoch": 559.87, "learning_rate": 0.0001, "loss": 0.0008, "step": 1680 }, { "epoch": 561.29, "learning_rate": 0.0001, "loss": 0.001, "step": 1684 }, { "epoch": 562.58, "learning_rate": 0.0001, "loss": 0.0009, "step": 1688 }, { "epoch": 563.87, "learning_rate": 0.0001, "loss": 0.0008, "step": 1692 }, { "epoch": 565.29, "learning_rate": 0.0001, "loss": 0.0009, "step": 1696 }, { "epoch": 566.58, "learning_rate": 0.0001, "loss": 0.0008, "step": 1700 }, { "epoch": 567.87, "learning_rate": 0.0001, "loss": 0.0011, "step": 1704 }, { "epoch": 569.29, "learning_rate": 0.0001, "loss": 0.0009, "step": 1708 }, { "epoch": 570.58, "learning_rate": 0.0001, "loss": 0.0008, "step": 1712 }, { "epoch": 571.87, "learning_rate": 0.0001, "loss": 0.0008, "step": 1716 }, { "epoch": 573.29, "learning_rate": 0.0001, "loss": 0.0008, "step": 1720 }, { "epoch": 574.58, "learning_rate": 0.0001, "loss": 0.0009, "step": 1724 }, { "epoch": 575.87, "learning_rate": 0.0001, "loss": 0.0011, "step": 1728 }, { "epoch": 575.87, "eval_exact_match": 0.6624758220502901, "eval_exec": 0.6818181818181818, "eval_loss": 0.40822312235832214, "eval_runtime": 173.4405, "eval_samples_per_second": 5.962, "step": 1728 } ], "max_steps": 9216, "num_train_epochs": 3072, "total_flos": 1.2117197167159542e+19, "trial_name": null, "trial_params": null }