diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,12239 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.999942624361696, + "eval_steps": 500, + "global_step": 8714, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.33984375, + "learning_rate": 2.2935779816513764e-07, + "loss": 1.0605, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 0.310546875, + "learning_rate": 1.1467889908256882e-06, + "loss": 1.151, + "step": 5 + }, + { + "epoch": 0.0, + "grad_norm": 0.357421875, + "learning_rate": 2.2935779816513764e-06, + "loss": 1.1878, + "step": 10 + }, + { + "epoch": 0.0, + "grad_norm": 0.369140625, + "learning_rate": 3.4403669724770644e-06, + "loss": 1.1512, + "step": 15 + }, + { + "epoch": 0.0, + "grad_norm": 0.318359375, + "learning_rate": 4.587155963302753e-06, + "loss": 1.1618, + "step": 20 + }, + { + "epoch": 0.0, + "grad_norm": 0.30078125, + "learning_rate": 5.733944954128441e-06, + "loss": 1.1177, + "step": 25 + }, + { + "epoch": 0.0, + "grad_norm": 0.267578125, + "learning_rate": 6.880733944954129e-06, + "loss": 1.0947, + "step": 30 + }, + { + "epoch": 0.0, + "grad_norm": 0.255859375, + "learning_rate": 8.027522935779817e-06, + "loss": 1.1256, + "step": 35 + }, + { + "epoch": 0.0, + "grad_norm": 0.25, + "learning_rate": 9.174311926605506e-06, + "loss": 1.1013, + "step": 40 + }, + { + "epoch": 0.01, + "grad_norm": 0.2490234375, + "learning_rate": 1.0321100917431194e-05, + "loss": 1.1046, + "step": 45 + }, + { + "epoch": 0.01, + "grad_norm": 0.318359375, + "learning_rate": 1.1467889908256882e-05, + "loss": 1.1076, + "step": 50 + }, + { + "epoch": 0.01, + "grad_norm": 0.259765625, + "learning_rate": 1.2614678899082569e-05, + "loss": 1.0508, + "step": 55 + }, + { + "epoch": 0.01, + "grad_norm": 0.20703125, + "learning_rate": 1.3761467889908258e-05, + "loss": 1.0812, + "step": 60 + }, + { + "epoch": 0.01, + "grad_norm": 0.236328125, + "learning_rate": 1.4908256880733946e-05, + "loss": 1.0587, + "step": 65 + }, + { + "epoch": 0.01, + "grad_norm": 0.240234375, + "learning_rate": 1.6055045871559634e-05, + "loss": 1.0215, + "step": 70 + }, + { + "epoch": 0.01, + "grad_norm": 0.267578125, + "learning_rate": 1.7201834862385323e-05, + "loss": 1.0493, + "step": 75 + }, + { + "epoch": 0.01, + "grad_norm": 0.2177734375, + "learning_rate": 1.834862385321101e-05, + "loss": 1.0221, + "step": 80 + }, + { + "epoch": 0.01, + "grad_norm": 0.1953125, + "learning_rate": 1.94954128440367e-05, + "loss": 1.069, + "step": 85 + }, + { + "epoch": 0.01, + "grad_norm": 0.1875, + "learning_rate": 2.0642201834862388e-05, + "loss": 1.0516, + "step": 90 + }, + { + "epoch": 0.01, + "grad_norm": 0.1875, + "learning_rate": 2.1788990825688073e-05, + "loss": 1.088, + "step": 95 + }, + { + "epoch": 0.01, + "grad_norm": 0.181640625, + "learning_rate": 2.2935779816513765e-05, + "loss": 1.0212, + "step": 100 + }, + { + "epoch": 0.01, + "grad_norm": 0.2099609375, + "learning_rate": 2.408256880733945e-05, + "loss": 1.0614, + "step": 105 + }, + { + "epoch": 0.01, + "grad_norm": 0.1923828125, + "learning_rate": 2.5229357798165138e-05, + "loss": 0.9889, + "step": 110 + }, + { + "epoch": 0.01, + "grad_norm": 0.1875, + "learning_rate": 2.6376146788990823e-05, + "loss": 1.0308, + "step": 115 + }, + { + "epoch": 0.01, + "grad_norm": 0.1875, + "learning_rate": 2.7522935779816515e-05, + "loss": 1.0306, + "step": 120 + }, + { + "epoch": 0.01, + "grad_norm": 0.1982421875, + "learning_rate": 2.8669724770642203e-05, + "loss": 1.0098, + "step": 125 + }, + { + "epoch": 0.01, + "grad_norm": 0.19921875, + "learning_rate": 2.9816513761467892e-05, + "loss": 1.0313, + "step": 130 + }, + { + "epoch": 0.02, + "grad_norm": 0.197265625, + "learning_rate": 3.096330275229358e-05, + "loss": 0.9705, + "step": 135 + }, + { + "epoch": 0.02, + "grad_norm": 0.21484375, + "learning_rate": 3.211009174311927e-05, + "loss": 1.0609, + "step": 140 + }, + { + "epoch": 0.02, + "grad_norm": 0.224609375, + "learning_rate": 3.325688073394496e-05, + "loss": 1.0414, + "step": 145 + }, + { + "epoch": 0.02, + "grad_norm": 0.2138671875, + "learning_rate": 3.4403669724770645e-05, + "loss": 1.0439, + "step": 150 + }, + { + "epoch": 0.02, + "grad_norm": 0.2060546875, + "learning_rate": 3.555045871559633e-05, + "loss": 0.9848, + "step": 155 + }, + { + "epoch": 0.02, + "grad_norm": 0.224609375, + "learning_rate": 3.669724770642202e-05, + "loss": 0.9856, + "step": 160 + }, + { + "epoch": 0.02, + "grad_norm": 0.2197265625, + "learning_rate": 3.784403669724771e-05, + "loss": 0.96, + "step": 165 + }, + { + "epoch": 0.02, + "grad_norm": 0.212890625, + "learning_rate": 3.89908256880734e-05, + "loss": 1.0011, + "step": 170 + }, + { + "epoch": 0.02, + "grad_norm": 0.2158203125, + "learning_rate": 4.013761467889908e-05, + "loss": 0.9926, + "step": 175 + }, + { + "epoch": 0.02, + "grad_norm": 0.23046875, + "learning_rate": 4.1284403669724776e-05, + "loss": 1.0263, + "step": 180 + }, + { + "epoch": 0.02, + "grad_norm": 0.2236328125, + "learning_rate": 4.2431192660550464e-05, + "loss": 1.0145, + "step": 185 + }, + { + "epoch": 0.02, + "grad_norm": 0.21875, + "learning_rate": 4.3577981651376146e-05, + "loss": 1.0163, + "step": 190 + }, + { + "epoch": 0.02, + "grad_norm": 0.27734375, + "learning_rate": 4.4724770642201834e-05, + "loss": 1.0453, + "step": 195 + }, + { + "epoch": 0.02, + "grad_norm": 0.2275390625, + "learning_rate": 4.587155963302753e-05, + "loss": 1.0237, + "step": 200 + }, + { + "epoch": 0.02, + "grad_norm": 0.2041015625, + "learning_rate": 4.701834862385321e-05, + "loss": 0.9497, + "step": 205 + }, + { + "epoch": 0.02, + "grad_norm": 0.20703125, + "learning_rate": 4.81651376146789e-05, + "loss": 0.9389, + "step": 210 + }, + { + "epoch": 0.02, + "grad_norm": 0.21875, + "learning_rate": 4.931192660550459e-05, + "loss": 1.0078, + "step": 215 + }, + { + "epoch": 0.03, + "grad_norm": 0.203125, + "learning_rate": 5.0458715596330276e-05, + "loss": 0.9668, + "step": 220 + }, + { + "epoch": 0.03, + "grad_norm": 0.2138671875, + "learning_rate": 5.1605504587155965e-05, + "loss": 1.0083, + "step": 225 + }, + { + "epoch": 0.03, + "grad_norm": 0.2197265625, + "learning_rate": 5.2752293577981646e-05, + "loss": 0.9589, + "step": 230 + }, + { + "epoch": 0.03, + "grad_norm": 0.2138671875, + "learning_rate": 5.389908256880735e-05, + "loss": 0.9918, + "step": 235 + }, + { + "epoch": 0.03, + "grad_norm": 0.2109375, + "learning_rate": 5.504587155963303e-05, + "loss": 0.9467, + "step": 240 + }, + { + "epoch": 0.03, + "grad_norm": 0.2216796875, + "learning_rate": 5.619266055045872e-05, + "loss": 1.0294, + "step": 245 + }, + { + "epoch": 0.03, + "grad_norm": 0.2158203125, + "learning_rate": 5.733944954128441e-05, + "loss": 0.9983, + "step": 250 + }, + { + "epoch": 0.03, + "grad_norm": 0.2265625, + "learning_rate": 5.8486238532110095e-05, + "loss": 0.9869, + "step": 255 + }, + { + "epoch": 0.03, + "grad_norm": 0.220703125, + "learning_rate": 5.9633027522935784e-05, + "loss": 0.9782, + "step": 260 + }, + { + "epoch": 0.03, + "grad_norm": 0.2060546875, + "learning_rate": 6.0779816513761465e-05, + "loss": 1.0076, + "step": 265 + }, + { + "epoch": 0.03, + "grad_norm": 0.20703125, + "learning_rate": 6.192660550458716e-05, + "loss": 0.9639, + "step": 270 + }, + { + "epoch": 0.03, + "grad_norm": 0.2177734375, + "learning_rate": 6.307339449541286e-05, + "loss": 1.0112, + "step": 275 + }, + { + "epoch": 0.03, + "grad_norm": 0.2255859375, + "learning_rate": 6.422018348623854e-05, + "loss": 0.9492, + "step": 280 + }, + { + "epoch": 0.03, + "grad_norm": 0.22265625, + "learning_rate": 6.536697247706422e-05, + "loss": 0.9467, + "step": 285 + }, + { + "epoch": 0.03, + "grad_norm": 0.212890625, + "learning_rate": 6.651376146788991e-05, + "loss": 1.0238, + "step": 290 + }, + { + "epoch": 0.03, + "grad_norm": 0.2119140625, + "learning_rate": 6.76605504587156e-05, + "loss": 1.0118, + "step": 295 + }, + { + "epoch": 0.03, + "grad_norm": 0.2138671875, + "learning_rate": 6.880733944954129e-05, + "loss": 0.9937, + "step": 300 + }, + { + "epoch": 0.03, + "grad_norm": 0.2138671875, + "learning_rate": 6.995412844036697e-05, + "loss": 1.0102, + "step": 305 + }, + { + "epoch": 0.04, + "grad_norm": 0.2177734375, + "learning_rate": 7.110091743119265e-05, + "loss": 0.951, + "step": 310 + }, + { + "epoch": 0.04, + "grad_norm": 0.2001953125, + "learning_rate": 7.224770642201836e-05, + "loss": 0.9713, + "step": 315 + }, + { + "epoch": 0.04, + "grad_norm": 0.2109375, + "learning_rate": 7.339449541284404e-05, + "loss": 0.9837, + "step": 320 + }, + { + "epoch": 0.04, + "grad_norm": 0.2080078125, + "learning_rate": 7.454128440366973e-05, + "loss": 0.9261, + "step": 325 + }, + { + "epoch": 0.04, + "grad_norm": 0.19921875, + "learning_rate": 7.568807339449542e-05, + "loss": 0.9606, + "step": 330 + }, + { + "epoch": 0.04, + "grad_norm": 0.220703125, + "learning_rate": 7.68348623853211e-05, + "loss": 0.9607, + "step": 335 + }, + { + "epoch": 0.04, + "grad_norm": 0.20703125, + "learning_rate": 7.79816513761468e-05, + "loss": 0.9969, + "step": 340 + }, + { + "epoch": 0.04, + "grad_norm": 0.205078125, + "learning_rate": 7.912844036697248e-05, + "loss": 1.0295, + "step": 345 + }, + { + "epoch": 0.04, + "grad_norm": 0.220703125, + "learning_rate": 8.027522935779816e-05, + "loss": 0.985, + "step": 350 + }, + { + "epoch": 0.04, + "grad_norm": 0.2041015625, + "learning_rate": 8.142201834862386e-05, + "loss": 1.0003, + "step": 355 + }, + { + "epoch": 0.04, + "grad_norm": 0.1884765625, + "learning_rate": 8.256880733944955e-05, + "loss": 0.9673, + "step": 360 + }, + { + "epoch": 0.04, + "grad_norm": 0.19921875, + "learning_rate": 8.371559633027523e-05, + "loss": 0.9255, + "step": 365 + }, + { + "epoch": 0.04, + "grad_norm": 0.19921875, + "learning_rate": 8.486238532110093e-05, + "loss": 0.9656, + "step": 370 + }, + { + "epoch": 0.04, + "grad_norm": 0.20703125, + "learning_rate": 8.600917431192661e-05, + "loss": 0.9941, + "step": 375 + }, + { + "epoch": 0.04, + "grad_norm": 0.2021484375, + "learning_rate": 8.715596330275229e-05, + "loss": 0.9551, + "step": 380 + }, + { + "epoch": 0.04, + "grad_norm": 0.234375, + "learning_rate": 8.830275229357799e-05, + "loss": 1.004, + "step": 385 + }, + { + "epoch": 0.04, + "grad_norm": 0.208984375, + "learning_rate": 8.944954128440367e-05, + "loss": 1.032, + "step": 390 + }, + { + "epoch": 0.05, + "grad_norm": 0.2060546875, + "learning_rate": 9.059633027522936e-05, + "loss": 0.9599, + "step": 395 + }, + { + "epoch": 0.05, + "grad_norm": 0.1943359375, + "learning_rate": 9.174311926605506e-05, + "loss": 0.9825, + "step": 400 + }, + { + "epoch": 0.05, + "grad_norm": 0.2001953125, + "learning_rate": 9.288990825688074e-05, + "loss": 0.9986, + "step": 405 + }, + { + "epoch": 0.05, + "grad_norm": 0.203125, + "learning_rate": 9.403669724770642e-05, + "loss": 0.9708, + "step": 410 + }, + { + "epoch": 0.05, + "grad_norm": 0.2080078125, + "learning_rate": 9.518348623853212e-05, + "loss": 1.0041, + "step": 415 + }, + { + "epoch": 0.05, + "grad_norm": 0.1884765625, + "learning_rate": 9.63302752293578e-05, + "loss": 0.9834, + "step": 420 + }, + { + "epoch": 0.05, + "grad_norm": 0.1943359375, + "learning_rate": 9.74770642201835e-05, + "loss": 1.0396, + "step": 425 + }, + { + "epoch": 0.05, + "grad_norm": 0.197265625, + "learning_rate": 9.862385321100918e-05, + "loss": 1.0168, + "step": 430 + }, + { + "epoch": 0.05, + "grad_norm": 0.1787109375, + "learning_rate": 9.977064220183486e-05, + "loss": 0.9267, + "step": 435 + }, + { + "epoch": 0.05, + "grad_norm": 0.1865234375, + "learning_rate": 0.00010091743119266055, + "loss": 0.9569, + "step": 440 + }, + { + "epoch": 0.05, + "grad_norm": 0.185546875, + "learning_rate": 0.00010206422018348625, + "loss": 0.9834, + "step": 445 + }, + { + "epoch": 0.05, + "grad_norm": 0.1748046875, + "learning_rate": 0.00010321100917431193, + "loss": 0.956, + "step": 450 + }, + { + "epoch": 0.05, + "grad_norm": 0.1796875, + "learning_rate": 0.00010435779816513762, + "loss": 0.9971, + "step": 455 + }, + { + "epoch": 0.05, + "grad_norm": 0.1796875, + "learning_rate": 0.00010550458715596329, + "loss": 0.9447, + "step": 460 + }, + { + "epoch": 0.05, + "grad_norm": 0.1826171875, + "learning_rate": 0.000106651376146789, + "loss": 0.9298, + "step": 465 + }, + { + "epoch": 0.05, + "grad_norm": 0.353515625, + "learning_rate": 0.0001077981651376147, + "loss": 1.0319, + "step": 470 + }, + { + "epoch": 0.05, + "grad_norm": 0.185546875, + "learning_rate": 0.00010894495412844036, + "loss": 0.9869, + "step": 475 + }, + { + "epoch": 0.06, + "grad_norm": 0.1865234375, + "learning_rate": 0.00011009174311926606, + "loss": 0.9707, + "step": 480 + }, + { + "epoch": 0.06, + "grad_norm": 0.1953125, + "learning_rate": 0.00011123853211009174, + "loss": 1.0084, + "step": 485 + }, + { + "epoch": 0.06, + "grad_norm": 0.1943359375, + "learning_rate": 0.00011238532110091744, + "loss": 1.0212, + "step": 490 + }, + { + "epoch": 0.06, + "grad_norm": 0.1806640625, + "learning_rate": 0.00011353211009174312, + "loss": 0.9996, + "step": 495 + }, + { + "epoch": 0.06, + "grad_norm": 0.1865234375, + "learning_rate": 0.00011467889908256881, + "loss": 1.0164, + "step": 500 + }, + { + "epoch": 0.06, + "grad_norm": 0.1875, + "learning_rate": 0.00011582568807339451, + "loss": 0.9616, + "step": 505 + }, + { + "epoch": 0.06, + "grad_norm": 0.18359375, + "learning_rate": 0.00011697247706422019, + "loss": 1.0129, + "step": 510 + }, + { + "epoch": 0.06, + "grad_norm": 0.1904296875, + "learning_rate": 0.00011811926605504589, + "loss": 0.9769, + "step": 515 + }, + { + "epoch": 0.06, + "grad_norm": 0.1884765625, + "learning_rate": 0.00011926605504587157, + "loss": 0.9869, + "step": 520 + }, + { + "epoch": 0.06, + "grad_norm": 0.1845703125, + "learning_rate": 0.00012041284403669726, + "loss": 0.9503, + "step": 525 + }, + { + "epoch": 0.06, + "grad_norm": 0.1806640625, + "learning_rate": 0.00012155963302752293, + "loss": 0.9757, + "step": 530 + }, + { + "epoch": 0.06, + "grad_norm": 0.1796875, + "learning_rate": 0.00012270642201834864, + "loss": 0.9539, + "step": 535 + }, + { + "epoch": 0.06, + "grad_norm": 0.208984375, + "learning_rate": 0.00012385321100917432, + "loss": 0.9872, + "step": 540 + }, + { + "epoch": 0.06, + "grad_norm": 0.1806640625, + "learning_rate": 0.000125, + "loss": 0.9614, + "step": 545 + }, + { + "epoch": 0.06, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001261467889908257, + "loss": 1.0016, + "step": 550 + }, + { + "epoch": 0.06, + "grad_norm": 0.173828125, + "learning_rate": 0.0001272935779816514, + "loss": 0.9464, + "step": 555 + }, + { + "epoch": 0.06, + "grad_norm": 0.171875, + "learning_rate": 0.00012844036697247707, + "loss": 0.9367, + "step": 560 + }, + { + "epoch": 0.06, + "grad_norm": 0.1708984375, + "learning_rate": 0.00012958715596330276, + "loss": 1.0023, + "step": 565 + }, + { + "epoch": 0.07, + "grad_norm": 0.1767578125, + "learning_rate": 0.00013073394495412844, + "loss": 1.0137, + "step": 570 + }, + { + "epoch": 0.07, + "grad_norm": 0.1806640625, + "learning_rate": 0.00013188073394495412, + "loss": 0.9737, + "step": 575 + }, + { + "epoch": 0.07, + "grad_norm": 0.2138671875, + "learning_rate": 0.00013302752293577983, + "loss": 0.9705, + "step": 580 + }, + { + "epoch": 0.07, + "grad_norm": 0.1796875, + "learning_rate": 0.0001341743119266055, + "loss": 0.9556, + "step": 585 + }, + { + "epoch": 0.07, + "grad_norm": 0.1708984375, + "learning_rate": 0.0001353211009174312, + "loss": 0.952, + "step": 590 + }, + { + "epoch": 0.07, + "grad_norm": 0.18359375, + "learning_rate": 0.0001364678899082569, + "loss": 0.9486, + "step": 595 + }, + { + "epoch": 0.07, + "grad_norm": 0.1923828125, + "learning_rate": 0.00013761467889908258, + "loss": 0.971, + "step": 600 + }, + { + "epoch": 0.07, + "grad_norm": 0.17578125, + "learning_rate": 0.00013876146788990826, + "loss": 1.0046, + "step": 605 + }, + { + "epoch": 0.07, + "grad_norm": 0.1728515625, + "learning_rate": 0.00013990825688073395, + "loss": 0.9297, + "step": 610 + }, + { + "epoch": 0.07, + "grad_norm": 0.1767578125, + "learning_rate": 0.00014105504587155965, + "loss": 1.0238, + "step": 615 + }, + { + "epoch": 0.07, + "grad_norm": 0.173828125, + "learning_rate": 0.0001422018348623853, + "loss": 0.9935, + "step": 620 + }, + { + "epoch": 0.07, + "grad_norm": 0.1748046875, + "learning_rate": 0.00014334862385321102, + "loss": 0.9899, + "step": 625 + }, + { + "epoch": 0.07, + "grad_norm": 0.1728515625, + "learning_rate": 0.00014449541284403673, + "loss": 0.9657, + "step": 630 + }, + { + "epoch": 0.07, + "grad_norm": 0.166015625, + "learning_rate": 0.00014564220183486238, + "loss": 1.0127, + "step": 635 + }, + { + "epoch": 0.07, + "grad_norm": 0.1767578125, + "learning_rate": 0.0001467889908256881, + "loss": 0.9565, + "step": 640 + }, + { + "epoch": 0.07, + "grad_norm": 0.1748046875, + "learning_rate": 0.00014793577981651377, + "loss": 1.0164, + "step": 645 + }, + { + "epoch": 0.07, + "grad_norm": 0.17578125, + "learning_rate": 0.00014908256880733945, + "loss": 0.9938, + "step": 650 + }, + { + "epoch": 0.08, + "grad_norm": 0.1728515625, + "learning_rate": 0.00015022935779816513, + "loss": 0.9961, + "step": 655 + }, + { + "epoch": 0.08, + "grad_norm": 0.17578125, + "learning_rate": 0.00015137614678899084, + "loss": 0.9774, + "step": 660 + }, + { + "epoch": 0.08, + "grad_norm": 0.1708984375, + "learning_rate": 0.00015252293577981652, + "loss": 1.0042, + "step": 665 + }, + { + "epoch": 0.08, + "grad_norm": 0.177734375, + "learning_rate": 0.0001536697247706422, + "loss": 0.9304, + "step": 670 + }, + { + "epoch": 0.08, + "grad_norm": 0.181640625, + "learning_rate": 0.00015481651376146791, + "loss": 0.9921, + "step": 675 + }, + { + "epoch": 0.08, + "grad_norm": 0.177734375, + "learning_rate": 0.0001559633027522936, + "loss": 0.9679, + "step": 680 + }, + { + "epoch": 0.08, + "grad_norm": 0.1748046875, + "learning_rate": 0.00015711009174311928, + "loss": 0.9292, + "step": 685 + }, + { + "epoch": 0.08, + "grad_norm": 0.171875, + "learning_rate": 0.00015825688073394496, + "loss": 0.9849, + "step": 690 + }, + { + "epoch": 0.08, + "grad_norm": 0.177734375, + "learning_rate": 0.00015940366972477064, + "loss": 1.012, + "step": 695 + }, + { + "epoch": 0.08, + "grad_norm": 0.171875, + "learning_rate": 0.00016055045871559632, + "loss": 0.9902, + "step": 700 + }, + { + "epoch": 0.08, + "grad_norm": 0.1728515625, + "learning_rate": 0.00016169724770642203, + "loss": 0.9778, + "step": 705 + }, + { + "epoch": 0.08, + "grad_norm": 0.1708984375, + "learning_rate": 0.0001628440366972477, + "loss": 0.9252, + "step": 710 + }, + { + "epoch": 0.08, + "grad_norm": 0.1669921875, + "learning_rate": 0.0001639908256880734, + "loss": 0.9662, + "step": 715 + }, + { + "epoch": 0.08, + "grad_norm": 0.1787109375, + "learning_rate": 0.0001651376146788991, + "loss": 0.941, + "step": 720 + }, + { + "epoch": 0.08, + "grad_norm": 0.171875, + "learning_rate": 0.00016628440366972479, + "loss": 1.0185, + "step": 725 + }, + { + "epoch": 0.08, + "grad_norm": 0.19140625, + "learning_rate": 0.00016743119266055047, + "loss": 0.9532, + "step": 730 + }, + { + "epoch": 0.08, + "grad_norm": 0.1650390625, + "learning_rate": 0.00016857798165137615, + "loss": 0.975, + "step": 735 + }, + { + "epoch": 0.08, + "grad_norm": 0.1689453125, + "learning_rate": 0.00016972477064220186, + "loss": 0.9521, + "step": 740 + }, + { + "epoch": 0.09, + "grad_norm": 0.173828125, + "learning_rate": 0.0001708715596330275, + "loss": 0.9932, + "step": 745 + }, + { + "epoch": 0.09, + "grad_norm": 0.1796875, + "learning_rate": 0.00017201834862385322, + "loss": 0.9432, + "step": 750 + }, + { + "epoch": 0.09, + "grad_norm": 0.169921875, + "learning_rate": 0.00017316513761467893, + "loss": 0.9458, + "step": 755 + }, + { + "epoch": 0.09, + "grad_norm": 0.17578125, + "learning_rate": 0.00017431192660550458, + "loss": 0.9715, + "step": 760 + }, + { + "epoch": 0.09, + "grad_norm": 0.1650390625, + "learning_rate": 0.0001754587155963303, + "loss": 1.012, + "step": 765 + }, + { + "epoch": 0.09, + "grad_norm": 0.1650390625, + "learning_rate": 0.00017660550458715597, + "loss": 0.9465, + "step": 770 + }, + { + "epoch": 0.09, + "grad_norm": 0.166015625, + "learning_rate": 0.00017775229357798166, + "loss": 0.9804, + "step": 775 + }, + { + "epoch": 0.09, + "grad_norm": 0.16796875, + "learning_rate": 0.00017889908256880734, + "loss": 0.9905, + "step": 780 + }, + { + "epoch": 0.09, + "grad_norm": 0.173828125, + "learning_rate": 0.00018004587155963305, + "loss": 0.9361, + "step": 785 + }, + { + "epoch": 0.09, + "grad_norm": 0.1650390625, + "learning_rate": 0.00018119266055045873, + "loss": 0.9817, + "step": 790 + }, + { + "epoch": 0.09, + "grad_norm": 0.166015625, + "learning_rate": 0.0001823394495412844, + "loss": 0.9195, + "step": 795 + }, + { + "epoch": 0.09, + "grad_norm": 0.1669921875, + "learning_rate": 0.00018348623853211012, + "loss": 0.9655, + "step": 800 + }, + { + "epoch": 0.09, + "grad_norm": 0.1767578125, + "learning_rate": 0.0001846330275229358, + "loss": 0.9728, + "step": 805 + }, + { + "epoch": 0.09, + "grad_norm": 0.173828125, + "learning_rate": 0.00018577981651376148, + "loss": 0.9195, + "step": 810 + }, + { + "epoch": 0.09, + "grad_norm": 0.1787109375, + "learning_rate": 0.00018692660550458716, + "loss": 0.9886, + "step": 815 + }, + { + "epoch": 0.09, + "grad_norm": 0.1806640625, + "learning_rate": 0.00018807339449541284, + "loss": 0.9954, + "step": 820 + }, + { + "epoch": 0.09, + "grad_norm": 0.1669921875, + "learning_rate": 0.00018922018348623853, + "loss": 1.0054, + "step": 825 + }, + { + "epoch": 0.1, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019036697247706424, + "loss": 0.9706, + "step": 830 + }, + { + "epoch": 0.1, + "grad_norm": 0.173828125, + "learning_rate": 0.00019151376146788992, + "loss": 0.9439, + "step": 835 + }, + { + "epoch": 0.1, + "grad_norm": 0.1787109375, + "learning_rate": 0.0001926605504587156, + "loss": 1.0154, + "step": 840 + }, + { + "epoch": 0.1, + "grad_norm": 0.171875, + "learning_rate": 0.0001938073394495413, + "loss": 1.0052, + "step": 845 + }, + { + "epoch": 0.1, + "grad_norm": 0.1767578125, + "learning_rate": 0.000194954128440367, + "loss": 0.9093, + "step": 850 + }, + { + "epoch": 0.1, + "grad_norm": 0.1669921875, + "learning_rate": 0.00019610091743119267, + "loss": 1.0025, + "step": 855 + }, + { + "epoch": 0.1, + "grad_norm": 0.171875, + "learning_rate": 0.00019724770642201835, + "loss": 0.9491, + "step": 860 + }, + { + "epoch": 0.1, + "grad_norm": 0.1796875, + "learning_rate": 0.00019839449541284406, + "loss": 0.9754, + "step": 865 + }, + { + "epoch": 0.1, + "grad_norm": 0.1689453125, + "learning_rate": 0.00019954128440366972, + "loss": 0.9863, + "step": 870 + }, + { + "epoch": 0.1, + "grad_norm": 0.17578125, + "learning_rate": 0.00019999992777982591, + "loss": 0.9368, + "step": 875 + }, + { + "epoch": 0.1, + "grad_norm": 0.171875, + "learning_rate": 0.00019999948643469536, + "loss": 0.9568, + "step": 880 + }, + { + "epoch": 0.1, + "grad_norm": 0.18359375, + "learning_rate": 0.00019999864386852187, + "loss": 0.969, + "step": 885 + }, + { + "epoch": 0.1, + "grad_norm": 0.1689453125, + "learning_rate": 0.00019999740008468594, + "loss": 0.9279, + "step": 890 + }, + { + "epoch": 0.1, + "grad_norm": 0.169921875, + "learning_rate": 0.00019999575508817795, + "loss": 0.9784, + "step": 895 + }, + { + "epoch": 0.1, + "grad_norm": 0.17578125, + "learning_rate": 0.00019999370888559804, + "loss": 0.981, + "step": 900 + }, + { + "epoch": 0.1, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019999126148515601, + "loss": 0.9495, + "step": 905 + }, + { + "epoch": 0.1, + "grad_norm": 0.19140625, + "learning_rate": 0.0001999884128966714, + "loss": 0.968, + "step": 910 + }, + { + "epoch": 0.1, + "grad_norm": 0.1748046875, + "learning_rate": 0.0001999851631315734, + "loss": 0.9799, + "step": 915 + }, + { + "epoch": 0.11, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019998151220290082, + "loss": 0.9995, + "step": 920 + }, + { + "epoch": 0.11, + "grad_norm": 0.177734375, + "learning_rate": 0.00019997746012530206, + "loss": 0.9432, + "step": 925 + }, + { + "epoch": 0.11, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019997300691503497, + "loss": 1.0105, + "step": 930 + }, + { + "epoch": 0.11, + "grad_norm": 0.185546875, + "learning_rate": 0.00019996815258996686, + "loss": 0.9422, + "step": 935 + }, + { + "epoch": 0.11, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001999628971695744, + "loss": 0.9056, + "step": 940 + }, + { + "epoch": 0.11, + "grad_norm": 0.169921875, + "learning_rate": 0.00019995724067494353, + "loss": 0.9646, + "step": 945 + }, + { + "epoch": 0.11, + "grad_norm": 0.1923828125, + "learning_rate": 0.00019995118312876944, + "loss": 0.9543, + "step": 950 + }, + { + "epoch": 0.11, + "grad_norm": 0.173828125, + "learning_rate": 0.0001999447245553564, + "loss": 1.011, + "step": 955 + }, + { + "epoch": 0.11, + "grad_norm": 0.16796875, + "learning_rate": 0.0001999378649806177, + "loss": 0.95, + "step": 960 + }, + { + "epoch": 0.11, + "grad_norm": 0.173828125, + "learning_rate": 0.00019993060443207554, + "loss": 0.9927, + "step": 965 + }, + { + "epoch": 0.11, + "grad_norm": 0.185546875, + "learning_rate": 0.00019992294293886095, + "loss": 1.0095, + "step": 970 + }, + { + "epoch": 0.11, + "grad_norm": 0.1728515625, + "learning_rate": 0.00019991488053171353, + "loss": 0.9915, + "step": 975 + }, + { + "epoch": 0.11, + "grad_norm": 0.1611328125, + "learning_rate": 0.00019990641724298156, + "loss": 0.9816, + "step": 980 + }, + { + "epoch": 0.11, + "grad_norm": 0.1689453125, + "learning_rate": 0.00019989755310662174, + "loss": 0.9515, + "step": 985 + }, + { + "epoch": 0.11, + "grad_norm": 0.1767578125, + "learning_rate": 0.000199888288158199, + "loss": 0.957, + "step": 990 + }, + { + "epoch": 0.11, + "grad_norm": 0.173828125, + "learning_rate": 0.00019987862243488647, + "loss": 0.9783, + "step": 995 + }, + { + "epoch": 0.11, + "grad_norm": 0.169921875, + "learning_rate": 0.00019986855597546526, + "loss": 0.9576, + "step": 1000 + }, + { + "epoch": 0.12, + "grad_norm": 0.171875, + "learning_rate": 0.0001998580888203243, + "loss": 0.9497, + "step": 1005 + }, + { + "epoch": 0.12, + "grad_norm": 0.1689453125, + "learning_rate": 0.00019984722101146029, + "loss": 0.9157, + "step": 1010 + }, + { + "epoch": 0.12, + "grad_norm": 0.181640625, + "learning_rate": 0.00019983595259247735, + "loss": 0.954, + "step": 1015 + }, + { + "epoch": 0.12, + "grad_norm": 0.1728515625, + "learning_rate": 0.000199824283608587, + "loss": 0.9945, + "step": 1020 + }, + { + "epoch": 0.12, + "grad_norm": 0.16796875, + "learning_rate": 0.00019981221410660788, + "loss": 0.9631, + "step": 1025 + }, + { + "epoch": 0.12, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019979974413496566, + "loss": 1.0138, + "step": 1030 + }, + { + "epoch": 0.12, + "grad_norm": 0.1650390625, + "learning_rate": 0.00019978687374369271, + "loss": 0.9555, + "step": 1035 + }, + { + "epoch": 0.12, + "grad_norm": 0.171875, + "learning_rate": 0.00019977360298442803, + "loss": 0.9725, + "step": 1040 + }, + { + "epoch": 0.12, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019975993191041695, + "loss": 1.0321, + "step": 1045 + }, + { + "epoch": 0.12, + "grad_norm": 0.173828125, + "learning_rate": 0.00019974586057651102, + "loss": 0.9974, + "step": 1050 + }, + { + "epoch": 0.12, + "grad_norm": 0.1875, + "learning_rate": 0.0001997313890391676, + "loss": 1.0188, + "step": 1055 + }, + { + "epoch": 0.12, + "grad_norm": 0.16796875, + "learning_rate": 0.00019971651735644995, + "loss": 0.9457, + "step": 1060 + }, + { + "epoch": 0.12, + "grad_norm": 0.185546875, + "learning_rate": 0.00019970124558802663, + "loss": 0.9522, + "step": 1065 + }, + { + "epoch": 0.12, + "grad_norm": 0.189453125, + "learning_rate": 0.00019968557379517152, + "loss": 0.926, + "step": 1070 + }, + { + "epoch": 0.12, + "grad_norm": 0.189453125, + "learning_rate": 0.00019966950204076346, + "loss": 0.9678, + "step": 1075 + }, + { + "epoch": 0.12, + "grad_norm": 0.1689453125, + "learning_rate": 0.00019965303038928608, + "loss": 1.0012, + "step": 1080 + }, + { + "epoch": 0.12, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001996361589068274, + "loss": 0.9966, + "step": 1085 + }, + { + "epoch": 0.13, + "grad_norm": 0.19140625, + "learning_rate": 0.00019961888766107972, + "loss": 0.956, + "step": 1090 + }, + { + "epoch": 0.13, + "grad_norm": 0.1748046875, + "learning_rate": 0.0001996012167213393, + "loss": 0.903, + "step": 1095 + }, + { + "epoch": 0.13, + "grad_norm": 0.224609375, + "learning_rate": 0.00019958314615850598, + "loss": 0.9292, + "step": 1100 + }, + { + "epoch": 0.13, + "grad_norm": 0.3125, + "learning_rate": 0.00019956467604508312, + "loss": 0.9788, + "step": 1105 + }, + { + "epoch": 0.13, + "grad_norm": 0.173828125, + "learning_rate": 0.00019954580645517697, + "loss": 0.9705, + "step": 1110 + }, + { + "epoch": 0.13, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019952653746449676, + "loss": 0.9652, + "step": 1115 + }, + { + "epoch": 0.13, + "grad_norm": 0.181640625, + "learning_rate": 0.0001995068691503541, + "loss": 1.0108, + "step": 1120 + }, + { + "epoch": 0.13, + "grad_norm": 0.236328125, + "learning_rate": 0.00019948680159166283, + "loss": 0.9594, + "step": 1125 + }, + { + "epoch": 0.13, + "grad_norm": 0.228515625, + "learning_rate": 0.00019946633486893865, + "loss": 1.0025, + "step": 1130 + }, + { + "epoch": 0.13, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019944546906429874, + "loss": 0.9474, + "step": 1135 + }, + { + "epoch": 0.13, + "grad_norm": 0.18359375, + "learning_rate": 0.00019942420426146153, + "loss": 0.9728, + "step": 1140 + }, + { + "epoch": 0.13, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019940254054574637, + "loss": 0.958, + "step": 1145 + }, + { + "epoch": 0.13, + "grad_norm": 0.19140625, + "learning_rate": 0.00019938047800407302, + "loss": 0.9844, + "step": 1150 + }, + { + "epoch": 0.13, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019935801672496157, + "loss": 1.0021, + "step": 1155 + }, + { + "epoch": 0.13, + "grad_norm": 0.2001953125, + "learning_rate": 0.00019933515679853182, + "loss": 0.9412, + "step": 1160 + }, + { + "epoch": 0.13, + "grad_norm": 0.185546875, + "learning_rate": 0.00019931189831650303, + "loss": 0.9642, + "step": 1165 + }, + { + "epoch": 0.13, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001992882413721937, + "loss": 0.9182, + "step": 1170 + }, + { + "epoch": 0.13, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019926418606052088, + "loss": 0.9886, + "step": 1175 + }, + { + "epoch": 0.14, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001992397324780001, + "loss": 0.9945, + "step": 1180 + }, + { + "epoch": 0.14, + "grad_norm": 1.703125, + "learning_rate": 0.00019921488072274475, + "loss": 0.9431, + "step": 1185 + }, + { + "epoch": 0.14, + "grad_norm": 0.20703125, + "learning_rate": 0.00019918963089446577, + "loss": 0.986, + "step": 1190 + }, + { + "epoch": 0.14, + "grad_norm": 0.19140625, + "learning_rate": 0.0001991639830944714, + "loss": 0.9287, + "step": 1195 + }, + { + "epoch": 0.14, + "grad_norm": 0.197265625, + "learning_rate": 0.00019913793742566647, + "loss": 0.949, + "step": 1200 + }, + { + "epoch": 0.14, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019911149399255224, + "loss": 0.9563, + "step": 1205 + }, + { + "epoch": 0.14, + "grad_norm": 0.1796875, + "learning_rate": 0.00019908465290122585, + "loss": 0.9945, + "step": 1210 + }, + { + "epoch": 0.14, + "grad_norm": 0.18359375, + "learning_rate": 0.00019905741425938002, + "loss": 0.9838, + "step": 1215 + }, + { + "epoch": 0.14, + "grad_norm": 0.19140625, + "learning_rate": 0.00019902977817630243, + "loss": 0.9648, + "step": 1220 + }, + { + "epoch": 0.14, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001990017447628754, + "loss": 0.9129, + "step": 1225 + }, + { + "epoch": 0.14, + "grad_norm": 0.2294921875, + "learning_rate": 0.00019897331413157548, + "loss": 1.0074, + "step": 1230 + }, + { + "epoch": 0.14, + "grad_norm": 0.1982421875, + "learning_rate": 0.00019894448639647304, + "loss": 0.9718, + "step": 1235 + }, + { + "epoch": 0.14, + "grad_norm": 0.2216796875, + "learning_rate": 0.00019891526167323145, + "loss": 0.9342, + "step": 1240 + }, + { + "epoch": 0.14, + "grad_norm": 0.197265625, + "learning_rate": 0.00019888564007910714, + "loss": 0.9772, + "step": 1245 + }, + { + "epoch": 0.14, + "grad_norm": 0.19140625, + "learning_rate": 0.0001988556217329488, + "loss": 0.953, + "step": 1250 + }, + { + "epoch": 0.14, + "grad_norm": 0.19921875, + "learning_rate": 0.0001988252067551969, + "loss": 0.9969, + "step": 1255 + }, + { + "epoch": 0.14, + "grad_norm": 0.17578125, + "learning_rate": 0.00019879439526788341, + "loss": 0.9575, + "step": 1260 + }, + { + "epoch": 0.15, + "grad_norm": 0.1796875, + "learning_rate": 0.00019876318739463114, + "loss": 0.9778, + "step": 1265 + }, + { + "epoch": 0.15, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019873158326065327, + "loss": 0.9934, + "step": 1270 + }, + { + "epoch": 0.15, + "grad_norm": 0.1943359375, + "learning_rate": 0.00019869958299275289, + "loss": 0.9699, + "step": 1275 + }, + { + "epoch": 0.15, + "grad_norm": 0.1982421875, + "learning_rate": 0.00019866718671932249, + "loss": 1.0175, + "step": 1280 + }, + { + "epoch": 0.15, + "grad_norm": 0.1728515625, + "learning_rate": 0.00019863439457034333, + "loss": 0.9513, + "step": 1285 + }, + { + "epoch": 0.15, + "grad_norm": 0.1875, + "learning_rate": 0.00019860120667738516, + "loss": 1.0107, + "step": 1290 + }, + { + "epoch": 0.15, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019856762317360546, + "loss": 0.965, + "step": 1295 + }, + { + "epoch": 0.15, + "grad_norm": 0.185546875, + "learning_rate": 0.00019853364419374902, + "loss": 0.9439, + "step": 1300 + }, + { + "epoch": 0.15, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019849926987414732, + "loss": 0.9695, + "step": 1305 + }, + { + "epoch": 0.15, + "grad_norm": 0.1796875, + "learning_rate": 0.00019846450035271808, + "loss": 0.9242, + "step": 1310 + }, + { + "epoch": 0.15, + "grad_norm": 0.1962890625, + "learning_rate": 0.0001984293357689647, + "loss": 0.9807, + "step": 1315 + }, + { + "epoch": 0.15, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019839377626397554, + "loss": 0.9666, + "step": 1320 + }, + { + "epoch": 0.15, + "grad_norm": 0.181640625, + "learning_rate": 0.00019835782198042364, + "loss": 0.9653, + "step": 1325 + }, + { + "epoch": 0.15, + "grad_norm": 0.181640625, + "learning_rate": 0.00019832147306256576, + "loss": 0.9482, + "step": 1330 + }, + { + "epoch": 0.15, + "grad_norm": 0.2197265625, + "learning_rate": 0.0001982847296562423, + "loss": 0.9439, + "step": 1335 + }, + { + "epoch": 0.15, + "grad_norm": 0.2197265625, + "learning_rate": 0.00019824759190887622, + "loss": 0.9696, + "step": 1340 + }, + { + "epoch": 0.15, + "grad_norm": 0.2392578125, + "learning_rate": 0.00019821005996947273, + "loss": 0.947, + "step": 1345 + }, + { + "epoch": 0.15, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019817213398861866, + "loss": 0.9564, + "step": 1350 + }, + { + "epoch": 0.16, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019813381411848185, + "loss": 1.0109, + "step": 1355 + }, + { + "epoch": 0.16, + "grad_norm": 0.232421875, + "learning_rate": 0.0001980951005128104, + "loss": 0.9487, + "step": 1360 + }, + { + "epoch": 0.16, + "grad_norm": 0.2890625, + "learning_rate": 0.0001980559933269323, + "loss": 0.9799, + "step": 1365 + }, + { + "epoch": 0.16, + "grad_norm": 0.1875, + "learning_rate": 0.00019801649271775459, + "loss": 0.967, + "step": 1370 + }, + { + "epoch": 0.16, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019797659884376282, + "loss": 0.9259, + "step": 1375 + }, + { + "epoch": 0.16, + "grad_norm": 0.1796875, + "learning_rate": 0.00019793631186502047, + "loss": 0.9562, + "step": 1380 + }, + { + "epoch": 0.16, + "grad_norm": 0.19140625, + "learning_rate": 0.00019789563194316817, + "loss": 0.9456, + "step": 1385 + }, + { + "epoch": 0.16, + "grad_norm": 0.193359375, + "learning_rate": 0.00019785455924142318, + "loss": 0.9771, + "step": 1390 + }, + { + "epoch": 0.16, + "grad_norm": 0.18359375, + "learning_rate": 0.00019781309392457867, + "loss": 0.9406, + "step": 1395 + }, + { + "epoch": 0.16, + "grad_norm": 0.189453125, + "learning_rate": 0.0001977712361590031, + "loss": 0.981, + "step": 1400 + }, + { + "epoch": 0.16, + "grad_norm": 0.1875, + "learning_rate": 0.00019772898611263942, + "loss": 0.9472, + "step": 1405 + }, + { + "epoch": 0.16, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019768634395500465, + "loss": 0.9453, + "step": 1410 + }, + { + "epoch": 0.16, + "grad_norm": 0.181640625, + "learning_rate": 0.00019764330985718896, + "loss": 0.9404, + "step": 1415 + }, + { + "epoch": 0.16, + "grad_norm": 0.17578125, + "learning_rate": 0.00019759988399185505, + "loss": 0.9435, + "step": 1420 + }, + { + "epoch": 0.16, + "grad_norm": 0.1748046875, + "learning_rate": 0.0001975560665332376, + "loss": 0.984, + "step": 1425 + }, + { + "epoch": 0.16, + "grad_norm": 0.1796875, + "learning_rate": 0.00019751185765714234, + "loss": 0.9327, + "step": 1430 + }, + { + "epoch": 0.16, + "grad_norm": 0.189453125, + "learning_rate": 0.00019746725754094544, + "loss": 1.0195, + "step": 1435 + }, + { + "epoch": 0.17, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019742226636359296, + "loss": 0.9728, + "step": 1440 + }, + { + "epoch": 0.17, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019737688430559986, + "loss": 1.0601, + "step": 1445 + }, + { + "epoch": 0.17, + "grad_norm": 0.18359375, + "learning_rate": 0.00019733111154904943, + "loss": 0.9826, + "step": 1450 + }, + { + "epoch": 0.17, + "grad_norm": 0.177734375, + "learning_rate": 0.00019728494827759256, + "loss": 0.9481, + "step": 1455 + }, + { + "epoch": 0.17, + "grad_norm": 0.1875, + "learning_rate": 0.00019723839467644699, + "loss": 1.0373, + "step": 1460 + }, + { + "epoch": 0.17, + "grad_norm": 0.18359375, + "learning_rate": 0.00019719145093239645, + "loss": 0.9958, + "step": 1465 + }, + { + "epoch": 0.17, + "grad_norm": 0.74609375, + "learning_rate": 0.00019714411723379015, + "loss": 1.0146, + "step": 1470 + }, + { + "epoch": 0.17, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019709639377054177, + "loss": 0.98, + "step": 1475 + }, + { + "epoch": 0.17, + "grad_norm": 0.1875, + "learning_rate": 0.0001970482807341289, + "loss": 0.9914, + "step": 1480 + }, + { + "epoch": 0.17, + "grad_norm": 0.193359375, + "learning_rate": 0.00019699977831759218, + "loss": 0.9927, + "step": 1485 + }, + { + "epoch": 0.17, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001969508867155345, + "loss": 0.9551, + "step": 1490 + }, + { + "epoch": 0.17, + "grad_norm": 0.18359375, + "learning_rate": 0.00019690160612412022, + "loss": 0.9567, + "step": 1495 + }, + { + "epoch": 0.17, + "grad_norm": 0.181640625, + "learning_rate": 0.00019685193674107452, + "loss": 1.0195, + "step": 1500 + }, + { + "epoch": 0.17, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001968018787656824, + "loss": 0.9472, + "step": 1505 + }, + { + "epoch": 0.17, + "grad_norm": 0.19140625, + "learning_rate": 0.00019675143239878805, + "loss": 0.9845, + "step": 1510 + }, + { + "epoch": 0.17, + "grad_norm": 0.1953125, + "learning_rate": 0.00019670059784279394, + "loss": 1.0282, + "step": 1515 + }, + { + "epoch": 0.17, + "grad_norm": 0.1796875, + "learning_rate": 0.00019664937530166002, + "loss": 0.9489, + "step": 1520 + }, + { + "epoch": 0.17, + "grad_norm": 0.1767578125, + "learning_rate": 0.000196597764980903, + "loss": 0.9755, + "step": 1525 + }, + { + "epoch": 0.18, + "grad_norm": 0.1923828125, + "learning_rate": 0.00019654576708759538, + "loss": 0.9942, + "step": 1530 + }, + { + "epoch": 0.18, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019649338183036475, + "loss": 0.9597, + "step": 1535 + }, + { + "epoch": 0.18, + "grad_norm": 0.1943359375, + "learning_rate": 0.00019644060941939286, + "loss": 0.9735, + "step": 1540 + }, + { + "epoch": 0.18, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001963874500664148, + "loss": 0.982, + "step": 1545 + }, + { + "epoch": 0.18, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019633390398471817, + "loss": 0.948, + "step": 1550 + }, + { + "epoch": 0.18, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019627997138914224, + "loss": 0.9767, + "step": 1555 + }, + { + "epoch": 0.18, + "grad_norm": 0.1796875, + "learning_rate": 0.00019622565249607704, + "loss": 0.9506, + "step": 1560 + }, + { + "epoch": 0.18, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019617094752346254, + "loss": 0.9403, + "step": 1565 + }, + { + "epoch": 0.18, + "grad_norm": 0.19921875, + "learning_rate": 0.0001961158566907877, + "loss": 0.9344, + "step": 1570 + }, + { + "epoch": 0.18, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019606038021908963, + "loss": 0.9416, + "step": 1575 + }, + { + "epoch": 0.18, + "grad_norm": 0.18359375, + "learning_rate": 0.00019600451833095287, + "loss": 0.9499, + "step": 1580 + }, + { + "epoch": 0.18, + "grad_norm": 0.1875, + "learning_rate": 0.00019594827125050807, + "loss": 0.9864, + "step": 1585 + }, + { + "epoch": 0.18, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019589163920343163, + "loss": 0.9493, + "step": 1590 + }, + { + "epoch": 0.18, + "grad_norm": 0.177734375, + "learning_rate": 0.00019583462241694436, + "loss": 0.9822, + "step": 1595 + }, + { + "epoch": 0.18, + "grad_norm": 0.185546875, + "learning_rate": 0.00019577722111981078, + "loss": 0.9847, + "step": 1600 + }, + { + "epoch": 0.18, + "grad_norm": 0.2216796875, + "learning_rate": 0.00019571943554233819, + "loss": 1.0152, + "step": 1605 + }, + { + "epoch": 0.18, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019566126591637558, + "loss": 0.9449, + "step": 1610 + }, + { + "epoch": 0.19, + "grad_norm": 0.1875, + "learning_rate": 0.00019560271247531308, + "loss": 0.9329, + "step": 1615 + }, + { + "epoch": 0.19, + "grad_norm": 0.185546875, + "learning_rate": 0.0001955437754540805, + "loss": 1.0026, + "step": 1620 + }, + { + "epoch": 0.19, + "grad_norm": 0.1953125, + "learning_rate": 0.00019548445508914681, + "loss": 1.0132, + "step": 1625 + }, + { + "epoch": 0.19, + "grad_norm": 0.1962890625, + "learning_rate": 0.00019542475161851906, + "loss": 0.9635, + "step": 1630 + }, + { + "epoch": 0.19, + "grad_norm": 0.181640625, + "learning_rate": 0.00019536466528174133, + "loss": 0.9352, + "step": 1635 + }, + { + "epoch": 0.19, + "grad_norm": 0.1796875, + "learning_rate": 0.00019530419631989392, + "loss": 0.9849, + "step": 1640 + }, + { + "epoch": 0.19, + "grad_norm": 0.1796875, + "learning_rate": 0.00019524334497559226, + "loss": 0.9475, + "step": 1645 + }, + { + "epoch": 0.19, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019518211149298595, + "loss": 0.9999, + "step": 1650 + }, + { + "epoch": 0.19, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019512049611775795, + "loss": 0.9432, + "step": 1655 + }, + { + "epoch": 0.19, + "grad_norm": 0.19140625, + "learning_rate": 0.00019505849909712332, + "loss": 0.9787, + "step": 1660 + }, + { + "epoch": 0.19, + "grad_norm": 0.1962890625, + "learning_rate": 0.00019499612067982848, + "loss": 0.989, + "step": 1665 + }, + { + "epoch": 0.19, + "grad_norm": 0.17578125, + "learning_rate": 0.00019493336111615003, + "loss": 0.9421, + "step": 1670 + }, + { + "epoch": 0.19, + "grad_norm": 0.185546875, + "learning_rate": 0.00019487022065789385, + "loss": 0.9757, + "step": 1675 + }, + { + "epoch": 0.19, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019480669955839402, + "loss": 0.9923, + "step": 1680 + }, + { + "epoch": 0.19, + "grad_norm": 0.2021484375, + "learning_rate": 0.00019474279807251186, + "loss": 0.9455, + "step": 1685 + }, + { + "epoch": 0.19, + "grad_norm": 0.17578125, + "learning_rate": 0.00019467851645663494, + "loss": 0.9216, + "step": 1690 + }, + { + "epoch": 0.19, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019461385496867594, + "loss": 0.9623, + "step": 1695 + }, + { + "epoch": 0.2, + "grad_norm": 0.189453125, + "learning_rate": 0.00019454881386807163, + "loss": 0.969, + "step": 1700 + }, + { + "epoch": 0.2, + "grad_norm": 0.2021484375, + "learning_rate": 0.000194483393415782, + "loss": 0.9648, + "step": 1705 + }, + { + "epoch": 0.2, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019441759387428903, + "loss": 0.957, + "step": 1710 + }, + { + "epoch": 0.2, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001943514155075956, + "loss": 0.9866, + "step": 1715 + }, + { + "epoch": 0.2, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019428485858122472, + "loss": 0.9538, + "step": 1720 + }, + { + "epoch": 0.2, + "grad_norm": 0.173828125, + "learning_rate": 0.00019421792336221807, + "loss": 0.9369, + "step": 1725 + }, + { + "epoch": 0.2, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019415061011913523, + "loss": 1.0101, + "step": 1730 + }, + { + "epoch": 0.2, + "grad_norm": 0.18359375, + "learning_rate": 0.00019408291912205246, + "loss": 0.9173, + "step": 1735 + }, + { + "epoch": 0.2, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019401485064256176, + "loss": 1.0116, + "step": 1740 + }, + { + "epoch": 0.2, + "grad_norm": 0.1904296875, + "learning_rate": 0.00019394640495376954, + "loss": 0.9867, + "step": 1745 + }, + { + "epoch": 0.2, + "grad_norm": 0.173828125, + "learning_rate": 0.0001938775823302957, + "loss": 0.9117, + "step": 1750 + }, + { + "epoch": 0.2, + "grad_norm": 0.1708984375, + "learning_rate": 0.00019380838304827256, + "loss": 0.9466, + "step": 1755 + }, + { + "epoch": 0.2, + "grad_norm": 0.173828125, + "learning_rate": 0.00019373880738534358, + "loss": 0.9731, + "step": 1760 + }, + { + "epoch": 0.2, + "grad_norm": 0.1796875, + "learning_rate": 0.0001936688556206624, + "loss": 0.9643, + "step": 1765 + }, + { + "epoch": 0.2, + "grad_norm": 0.19140625, + "learning_rate": 0.00019359852803489168, + "loss": 0.9608, + "step": 1770 + }, + { + "epoch": 0.2, + "grad_norm": 0.181640625, + "learning_rate": 0.00019352782491020195, + "loss": 0.9447, + "step": 1775 + }, + { + "epoch": 0.2, + "grad_norm": 0.18359375, + "learning_rate": 0.0001934567465302704, + "loss": 0.9874, + "step": 1780 + }, + { + "epoch": 0.2, + "grad_norm": 0.1826171875, + "learning_rate": 0.00019338529318028, + "loss": 0.9387, + "step": 1785 + }, + { + "epoch": 0.21, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019331346514691813, + "loss": 0.9288, + "step": 1790 + }, + { + "epoch": 0.21, + "grad_norm": 0.1806640625, + "learning_rate": 0.00019324126271837538, + "loss": 0.9475, + "step": 1795 + }, + { + "epoch": 0.21, + "grad_norm": 0.1875, + "learning_rate": 0.00019316868618434455, + "loss": 0.9658, + "step": 1800 + }, + { + "epoch": 0.21, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019309573583601954, + "loss": 0.942, + "step": 1805 + }, + { + "epoch": 0.21, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019302241196609397, + "loss": 0.9382, + "step": 1810 + }, + { + "epoch": 0.21, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019294871486876013, + "loss": 0.9777, + "step": 1815 + }, + { + "epoch": 0.21, + "grad_norm": 0.1904296875, + "learning_rate": 0.0001928746448397078, + "loss": 0.9431, + "step": 1820 + }, + { + "epoch": 0.21, + "grad_norm": 0.1796875, + "learning_rate": 0.0001928002021761231, + "loss": 0.9449, + "step": 1825 + }, + { + "epoch": 0.21, + "grad_norm": 0.181640625, + "learning_rate": 0.00019272538717668715, + "loss": 0.9613, + "step": 1830 + }, + { + "epoch": 0.21, + "grad_norm": 0.181640625, + "learning_rate": 0.000192650200141575, + "loss": 0.9659, + "step": 1835 + }, + { + "epoch": 0.21, + "grad_norm": 0.193359375, + "learning_rate": 0.00019257464137245446, + "loss": 0.9767, + "step": 1840 + }, + { + "epoch": 0.21, + "grad_norm": 0.185546875, + "learning_rate": 0.0001924987111724847, + "loss": 0.9568, + "step": 1845 + }, + { + "epoch": 0.21, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001924224098463153, + "loss": 0.969, + "step": 1850 + }, + { + "epoch": 0.21, + "grad_norm": 0.1787109375, + "learning_rate": 0.00019234573770008474, + "loss": 0.9678, + "step": 1855 + }, + { + "epoch": 0.21, + "grad_norm": 0.173828125, + "learning_rate": 0.00019226869504141943, + "loss": 0.9344, + "step": 1860 + }, + { + "epoch": 0.21, + "grad_norm": 0.189453125, + "learning_rate": 0.00019219128217943233, + "loss": 0.9624, + "step": 1865 + }, + { + "epoch": 0.21, + "grad_norm": 0.1962890625, + "learning_rate": 0.00019211349942472165, + "loss": 0.966, + "step": 1870 + }, + { + "epoch": 0.22, + "grad_norm": 0.1865234375, + "learning_rate": 0.00019203534708936985, + "loss": 1.0469, + "step": 1875 + }, + { + "epoch": 0.22, + "grad_norm": 0.189453125, + "learning_rate": 0.00019195682548694208, + "loss": 0.9285, + "step": 1880 + }, + { + "epoch": 0.22, + "grad_norm": 0.2275390625, + "learning_rate": 0.00019187793493248524, + "loss": 0.9235, + "step": 1885 + }, + { + "epoch": 0.22, + "grad_norm": 0.189453125, + "learning_rate": 0.00019179867574252638, + "loss": 0.9598, + "step": 1890 + }, + { + "epoch": 0.22, + "grad_norm": 0.1748046875, + "learning_rate": 0.00019171904823507178, + "loss": 0.9784, + "step": 1895 + }, + { + "epoch": 0.22, + "grad_norm": 0.1884765625, + "learning_rate": 0.00019163905272960528, + "loss": 0.9909, + "step": 1900 + }, + { + "epoch": 0.22, + "grad_norm": 0.1962890625, + "learning_rate": 0.0001915586895470874, + "loss": 0.9529, + "step": 1905 + }, + { + "epoch": 0.22, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001914779590099538, + "loss": 0.9368, + "step": 1910 + }, + { + "epoch": 0.22, + "grad_norm": 0.1875, + "learning_rate": 0.00019139686144211405, + "loss": 1.0026, + "step": 1915 + }, + { + "epoch": 0.22, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019131539716895024, + "loss": 0.9895, + "step": 1920 + }, + { + "epoch": 0.22, + "grad_norm": 0.17578125, + "learning_rate": 0.00019123356651731593, + "loss": 1.0119, + "step": 1925 + }, + { + "epoch": 0.22, + "grad_norm": 0.1875, + "learning_rate": 0.00019115136981553464, + "loss": 1.0007, + "step": 1930 + }, + { + "epoch": 0.22, + "grad_norm": 0.2021484375, + "learning_rate": 0.00019106880739339844, + "loss": 0.9512, + "step": 1935 + }, + { + "epoch": 0.22, + "grad_norm": 0.177734375, + "learning_rate": 0.00019098587958216688, + "loss": 0.9515, + "step": 1940 + }, + { + "epoch": 0.22, + "grad_norm": 0.181640625, + "learning_rate": 0.0001909025867145655, + "loss": 0.9643, + "step": 1945 + }, + { + "epoch": 0.22, + "grad_norm": 0.181640625, + "learning_rate": 0.00019081892912478456, + "loss": 0.9237, + "step": 1950 + }, + { + "epoch": 0.22, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019073490714847759, + "loss": 0.9493, + "step": 1955 + }, + { + "epoch": 0.22, + "grad_norm": 0.1796875, + "learning_rate": 0.00019065052112276018, + "loss": 0.9399, + "step": 1960 + }, + { + "epoch": 0.23, + "grad_norm": 0.185546875, + "learning_rate": 0.00019056577138620856, + "loss": 0.9452, + "step": 1965 + }, + { + "epoch": 0.23, + "grad_norm": 0.1875, + "learning_rate": 0.00019048065827885827, + "loss": 0.9864, + "step": 1970 + }, + { + "epoch": 0.23, + "grad_norm": 0.1767578125, + "learning_rate": 0.00019039518214220276, + "loss": 0.9163, + "step": 1975 + }, + { + "epoch": 0.23, + "grad_norm": 0.1826171875, + "learning_rate": 0.000190309343319192, + "loss": 0.9867, + "step": 1980 + }, + { + "epoch": 0.23, + "grad_norm": 0.1884765625, + "learning_rate": 0.00019022314215423123, + "loss": 0.966, + "step": 1985 + }, + { + "epoch": 0.23, + "grad_norm": 0.181640625, + "learning_rate": 0.00019013657899317942, + "loss": 0.928, + "step": 1990 + }, + { + "epoch": 0.23, + "grad_norm": 0.1845703125, + "learning_rate": 0.00019004965418334798, + "loss": 0.9204, + "step": 1995 + }, + { + "epoch": 0.23, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001899623680734993, + "loss": 1.0279, + "step": 2000 + }, + { + "epoch": 0.23, + "grad_norm": 0.1796875, + "learning_rate": 0.00018987472101384545, + "loss": 0.9373, + "step": 2005 + }, + { + "epoch": 0.23, + "grad_norm": 0.1865234375, + "learning_rate": 0.00018978671335604665, + "loss": 0.9348, + "step": 2010 + }, + { + "epoch": 0.23, + "grad_norm": 0.185546875, + "learning_rate": 0.00018969834545321, + "loss": 0.9843, + "step": 2015 + }, + { + "epoch": 0.23, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018960961765988792, + "loss": 0.9544, + "step": 2020 + }, + { + "epoch": 0.23, + "grad_norm": 0.18359375, + "learning_rate": 0.00018952053033207683, + "loss": 0.9533, + "step": 2025 + }, + { + "epoch": 0.23, + "grad_norm": 0.193359375, + "learning_rate": 0.00018943108382721562, + "loss": 0.931, + "step": 2030 + }, + { + "epoch": 0.23, + "grad_norm": 0.177734375, + "learning_rate": 0.0001893412785041844, + "loss": 0.9711, + "step": 2035 + }, + { + "epoch": 0.23, + "grad_norm": 0.1962890625, + "learning_rate": 0.00018925111472330283, + "loss": 0.9499, + "step": 2040 + }, + { + "epoch": 0.23, + "grad_norm": 0.181640625, + "learning_rate": 0.00018916059284632884, + "loss": 0.977, + "step": 2045 + }, + { + "epoch": 0.24, + "grad_norm": 0.1806640625, + "learning_rate": 0.00018906971323645713, + "loss": 0.9472, + "step": 2050 + }, + { + "epoch": 0.24, + "grad_norm": 0.1875, + "learning_rate": 0.0001889784762583177, + "loss": 0.949, + "step": 2055 + }, + { + "epoch": 0.24, + "grad_norm": 0.18359375, + "learning_rate": 0.00018888688227797432, + "loss": 0.9756, + "step": 2060 + }, + { + "epoch": 0.24, + "grad_norm": 0.173828125, + "learning_rate": 0.0001887949316629233, + "loss": 0.984, + "step": 2065 + }, + { + "epoch": 0.24, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018870262478209163, + "loss": 0.9647, + "step": 2070 + }, + { + "epoch": 0.24, + "grad_norm": 0.1787109375, + "learning_rate": 0.00018860996200583595, + "loss": 0.9458, + "step": 2075 + }, + { + "epoch": 0.24, + "grad_norm": 0.1806640625, + "learning_rate": 0.00018851694370594069, + "loss": 0.9515, + "step": 2080 + }, + { + "epoch": 0.24, + "grad_norm": 0.19140625, + "learning_rate": 0.00018842357025561674, + "loss": 0.9702, + "step": 2085 + }, + { + "epoch": 0.24, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018832984202949996, + "loss": 0.9536, + "step": 2090 + }, + { + "epoch": 0.24, + "grad_norm": 0.189453125, + "learning_rate": 0.0001882357594036497, + "loss": 1.0003, + "step": 2095 + }, + { + "epoch": 0.24, + "grad_norm": 0.1962890625, + "learning_rate": 0.00018814132275554713, + "loss": 0.9873, + "step": 2100 + }, + { + "epoch": 0.24, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001880465324640939, + "loss": 0.9468, + "step": 2105 + }, + { + "epoch": 0.24, + "grad_norm": 0.1796875, + "learning_rate": 0.0001879513889096106, + "loss": 0.91, + "step": 2110 + }, + { + "epoch": 0.24, + "grad_norm": 0.185546875, + "learning_rate": 0.00018785589247383513, + "loss": 0.963, + "step": 2115 + }, + { + "epoch": 0.24, + "grad_norm": 0.1875, + "learning_rate": 0.00018776004353992124, + "loss": 0.9428, + "step": 2120 + }, + { + "epoch": 0.24, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018766384249243703, + "loss": 0.9523, + "step": 2125 + }, + { + "epoch": 0.24, + "grad_norm": 0.1875, + "learning_rate": 0.00018756728971736327, + "loss": 0.9452, + "step": 2130 + }, + { + "epoch": 0.24, + "grad_norm": 0.1884765625, + "learning_rate": 0.00018747038560209208, + "loss": 0.9214, + "step": 2135 + }, + { + "epoch": 0.25, + "grad_norm": 0.1806640625, + "learning_rate": 0.00018737313053542512, + "loss": 0.9716, + "step": 2140 + }, + { + "epoch": 0.25, + "grad_norm": 0.20703125, + "learning_rate": 0.00018727552490757217, + "loss": 0.9555, + "step": 2145 + }, + { + "epoch": 0.25, + "grad_norm": 0.1904296875, + "learning_rate": 0.0001871775691101496, + "loss": 0.9227, + "step": 2150 + }, + { + "epoch": 0.25, + "grad_norm": 0.181640625, + "learning_rate": 0.00018707926353617865, + "loss": 0.9556, + "step": 2155 + }, + { + "epoch": 0.25, + "grad_norm": 0.2060546875, + "learning_rate": 0.00018698060858008403, + "loss": 0.9862, + "step": 2160 + }, + { + "epoch": 0.25, + "grad_norm": 0.185546875, + "learning_rate": 0.00018688160463769222, + "loss": 0.9951, + "step": 2165 + }, + { + "epoch": 0.25, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018678225210622986, + "loss": 0.8858, + "step": 2170 + }, + { + "epoch": 0.25, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018668255138432237, + "loss": 0.9466, + "step": 2175 + }, + { + "epoch": 0.25, + "grad_norm": 0.1884765625, + "learning_rate": 0.00018658250287199196, + "loss": 0.99, + "step": 2180 + }, + { + "epoch": 0.25, + "grad_norm": 0.1796875, + "learning_rate": 0.0001864821069706564, + "loss": 0.966, + "step": 2185 + }, + { + "epoch": 0.25, + "grad_norm": 0.19140625, + "learning_rate": 0.00018638136408312728, + "loss": 0.9413, + "step": 2190 + }, + { + "epoch": 0.25, + "grad_norm": 0.1826171875, + "learning_rate": 0.00018628027461360834, + "loss": 0.9428, + "step": 2195 + }, + { + "epoch": 0.25, + "grad_norm": 0.193359375, + "learning_rate": 0.0001861788389676939, + "loss": 0.9792, + "step": 2200 + }, + { + "epoch": 0.25, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018607705755236716, + "loss": 0.9799, + "step": 2205 + }, + { + "epoch": 0.25, + "grad_norm": 0.17578125, + "learning_rate": 0.00018597493077599867, + "loss": 0.9549, + "step": 2210 + }, + { + "epoch": 0.25, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001858724590483447, + "loss": 0.9422, + "step": 2215 + }, + { + "epoch": 0.25, + "grad_norm": 0.1875, + "learning_rate": 0.00018576964278054544, + "loss": 0.9438, + "step": 2220 + }, + { + "epoch": 0.26, + "grad_norm": 0.2138671875, + "learning_rate": 0.00018566648238512357, + "loss": 0.9763, + "step": 2225 + }, + { + "epoch": 0.26, + "grad_norm": 0.18359375, + "learning_rate": 0.00018556297827598242, + "loss": 0.9515, + "step": 2230 + }, + { + "epoch": 0.26, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018545913086840434, + "loss": 0.9293, + "step": 2235 + }, + { + "epoch": 0.26, + "grad_norm": 0.19140625, + "learning_rate": 0.00018535494057904915, + "loss": 0.9969, + "step": 2240 + }, + { + "epoch": 0.26, + "grad_norm": 0.1748046875, + "learning_rate": 0.00018525040782595235, + "loss": 0.9516, + "step": 2245 + }, + { + "epoch": 0.26, + "grad_norm": 0.19140625, + "learning_rate": 0.00018514553302852356, + "loss": 0.9467, + "step": 2250 + }, + { + "epoch": 0.26, + "grad_norm": 0.1787109375, + "learning_rate": 0.0001850403166075446, + "loss": 0.9982, + "step": 2255 + }, + { + "epoch": 0.26, + "grad_norm": 0.19140625, + "learning_rate": 0.00018493475898516813, + "loss": 0.9582, + "step": 2260 + }, + { + "epoch": 0.26, + "grad_norm": 0.1767578125, + "learning_rate": 0.0001848288605849157, + "loss": 0.9908, + "step": 2265 + }, + { + "epoch": 0.26, + "grad_norm": 0.17578125, + "learning_rate": 0.00018472262183167614, + "loss": 0.9683, + "step": 2270 + }, + { + "epoch": 0.26, + "grad_norm": 0.1787109375, + "learning_rate": 0.00018461604315170389, + "loss": 0.9615, + "step": 2275 + }, + { + "epoch": 0.26, + "grad_norm": 0.1962890625, + "learning_rate": 0.00018450912497261723, + "loss": 1.0142, + "step": 2280 + }, + { + "epoch": 0.26, + "grad_norm": 0.18359375, + "learning_rate": 0.00018440186772339663, + "loss": 1.0032, + "step": 2285 + }, + { + "epoch": 0.26, + "grad_norm": 0.189453125, + "learning_rate": 0.00018429427183438288, + "loss": 0.986, + "step": 2290 + }, + { + "epoch": 0.26, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018418633773727562, + "loss": 0.9617, + "step": 2295 + }, + { + "epoch": 0.26, + "grad_norm": 0.193359375, + "learning_rate": 0.00018407806586513134, + "loss": 1.0442, + "step": 2300 + }, + { + "epoch": 0.26, + "grad_norm": 0.18359375, + "learning_rate": 0.00018396945665236184, + "loss": 0.9725, + "step": 2305 + }, + { + "epoch": 0.27, + "grad_norm": 0.240234375, + "learning_rate": 0.00018386051053473232, + "loss": 0.9812, + "step": 2310 + }, + { + "epoch": 0.27, + "grad_norm": 0.1884765625, + "learning_rate": 0.00018375122794935984, + "loss": 0.9325, + "step": 2315 + }, + { + "epoch": 0.27, + "grad_norm": 0.19140625, + "learning_rate": 0.00018364160933471134, + "loss": 0.973, + "step": 2320 + }, + { + "epoch": 0.27, + "grad_norm": 0.189453125, + "learning_rate": 0.00018353165513060202, + "loss": 0.9885, + "step": 2325 + }, + { + "epoch": 0.27, + "grad_norm": 0.177734375, + "learning_rate": 0.0001834213657781936, + "loss": 0.959, + "step": 2330 + }, + { + "epoch": 0.27, + "grad_norm": 0.1806640625, + "learning_rate": 0.00018331074171999237, + "loss": 0.955, + "step": 2335 + }, + { + "epoch": 0.27, + "grad_norm": 0.1923828125, + "learning_rate": 0.00018319978339984767, + "loss": 0.9766, + "step": 2340 + }, + { + "epoch": 0.27, + "grad_norm": 0.1796875, + "learning_rate": 0.0001830884912629499, + "loss": 0.9408, + "step": 2345 + }, + { + "epoch": 0.27, + "grad_norm": 0.185546875, + "learning_rate": 0.0001829768657558288, + "loss": 0.9502, + "step": 2350 + }, + { + "epoch": 0.27, + "grad_norm": 0.181640625, + "learning_rate": 0.00018286490732635172, + "loss": 0.9516, + "step": 2355 + }, + { + "epoch": 0.27, + "grad_norm": 0.17578125, + "learning_rate": 0.00018275261642372175, + "loss": 0.9545, + "step": 2360 + }, + { + "epoch": 0.27, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001826399934984759, + "loss": 0.9735, + "step": 2365 + }, + { + "epoch": 0.27, + "grad_norm": 0.18359375, + "learning_rate": 0.0001825270390024834, + "loss": 0.9447, + "step": 2370 + }, + { + "epoch": 0.27, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001824137533889438, + "loss": 0.9672, + "step": 2375 + }, + { + "epoch": 0.27, + "grad_norm": 0.1845703125, + "learning_rate": 0.00018230013711238513, + "loss": 0.9548, + "step": 2380 + }, + { + "epoch": 0.27, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018218619062866211, + "loss": 1.011, + "step": 2385 + }, + { + "epoch": 0.27, + "grad_norm": 0.1982421875, + "learning_rate": 0.00018207191439495438, + "loss": 0.9822, + "step": 2390 + }, + { + "epoch": 0.27, + "grad_norm": 0.171875, + "learning_rate": 0.00018195730886976462, + "loss": 0.9096, + "step": 2395 + }, + { + "epoch": 0.28, + "grad_norm": 0.1787109375, + "learning_rate": 0.00018184237451291665, + "loss": 0.9577, + "step": 2400 + }, + { + "epoch": 0.28, + "grad_norm": 0.189453125, + "learning_rate": 0.00018172711178555368, + "loss": 0.945, + "step": 2405 + }, + { + "epoch": 0.28, + "grad_norm": 0.1982421875, + "learning_rate": 0.00018161152115013637, + "loss": 0.9408, + "step": 2410 + }, + { + "epoch": 0.28, + "grad_norm": 0.216796875, + "learning_rate": 0.0001814956030704411, + "loss": 0.9714, + "step": 2415 + }, + { + "epoch": 0.28, + "grad_norm": 0.19140625, + "learning_rate": 0.00018137935801155794, + "loss": 0.9548, + "step": 2420 + }, + { + "epoch": 0.28, + "grad_norm": 0.1953125, + "learning_rate": 0.00018126278643988895, + "loss": 0.9534, + "step": 2425 + }, + { + "epoch": 0.28, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001811458888231462, + "loss": 0.9586, + "step": 2430 + }, + { + "epoch": 0.28, + "grad_norm": 0.1923828125, + "learning_rate": 0.00018102866563034995, + "loss": 0.9891, + "step": 2435 + }, + { + "epoch": 0.28, + "grad_norm": 0.2109375, + "learning_rate": 0.0001809111173318267, + "loss": 0.9938, + "step": 2440 + }, + { + "epoch": 0.28, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018079324439920742, + "loss": 0.9306, + "step": 2445 + }, + { + "epoch": 0.28, + "grad_norm": 0.1904296875, + "learning_rate": 0.00018067504730542551, + "loss": 0.9616, + "step": 2450 + }, + { + "epoch": 0.28, + "grad_norm": 0.337890625, + "learning_rate": 0.00018055652652471506, + "loss": 0.9537, + "step": 2455 + }, + { + "epoch": 0.28, + "grad_norm": 0.1962890625, + "learning_rate": 0.0001804376825326088, + "loss": 0.9976, + "step": 2460 + }, + { + "epoch": 0.28, + "grad_norm": 0.1923828125, + "learning_rate": 0.00018031851580593627, + "loss": 0.9823, + "step": 2465 + }, + { + "epoch": 0.28, + "grad_norm": 0.19140625, + "learning_rate": 0.00018019902682282193, + "loss": 0.9452, + "step": 2470 + }, + { + "epoch": 0.28, + "grad_norm": 0.17578125, + "learning_rate": 0.0001800792160626832, + "loss": 0.9457, + "step": 2475 + }, + { + "epoch": 0.28, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001799590840062285, + "loss": 0.9093, + "step": 2480 + }, + { + "epoch": 0.29, + "grad_norm": 0.18359375, + "learning_rate": 0.0001798386311354554, + "loss": 0.9901, + "step": 2485 + }, + { + "epoch": 0.29, + "grad_norm": 0.19140625, + "learning_rate": 0.00017971785793364866, + "loss": 0.9244, + "step": 2490 + }, + { + "epoch": 0.29, + "grad_norm": 0.1923828125, + "learning_rate": 0.00017959676488537825, + "loss": 1.0049, + "step": 2495 + }, + { + "epoch": 0.29, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001794753524764975, + "loss": 0.9679, + "step": 2500 + }, + { + "epoch": 0.29, + "grad_norm": 0.1806640625, + "learning_rate": 0.00017935362119414098, + "loss": 0.9085, + "step": 2505 + }, + { + "epoch": 0.29, + "grad_norm": 0.1796875, + "learning_rate": 0.00017923157152672278, + "loss": 0.9318, + "step": 2510 + }, + { + "epoch": 0.29, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001791092039639343, + "loss": 1.0041, + "step": 2515 + }, + { + "epoch": 0.29, + "grad_norm": 0.185546875, + "learning_rate": 0.00017898651899674254, + "loss": 0.9653, + "step": 2520 + }, + { + "epoch": 0.29, + "grad_norm": 0.1796875, + "learning_rate": 0.0001788635171173879, + "loss": 0.9806, + "step": 2525 + }, + { + "epoch": 0.29, + "grad_norm": 0.1923828125, + "learning_rate": 0.00017874019881938233, + "loss": 0.9317, + "step": 2530 + }, + { + "epoch": 0.29, + "grad_norm": 0.1875, + "learning_rate": 0.00017861656459750735, + "loss": 0.9239, + "step": 2535 + }, + { + "epoch": 0.29, + "grad_norm": 0.1845703125, + "learning_rate": 0.000178492614947812, + "loss": 0.9849, + "step": 2540 + }, + { + "epoch": 0.29, + "grad_norm": 0.18359375, + "learning_rate": 0.00017836835036761094, + "loss": 0.9522, + "step": 2545 + }, + { + "epoch": 0.29, + "grad_norm": 0.193359375, + "learning_rate": 0.00017824377135548236, + "loss": 0.957, + "step": 2550 + }, + { + "epoch": 0.29, + "grad_norm": 0.197265625, + "learning_rate": 0.000178118878411266, + "loss": 0.9839, + "step": 2555 + }, + { + "epoch": 0.29, + "grad_norm": 0.18359375, + "learning_rate": 0.00017799367203606128, + "loss": 0.9661, + "step": 2560 + }, + { + "epoch": 0.29, + "grad_norm": 0.19921875, + "learning_rate": 0.0001778681527322251, + "loss": 0.9682, + "step": 2565 + }, + { + "epoch": 0.29, + "grad_norm": 0.1796875, + "learning_rate": 0.00017774232100336982, + "loss": 0.9406, + "step": 2570 + }, + { + "epoch": 0.3, + "grad_norm": 0.1923828125, + "learning_rate": 0.00017761617735436152, + "loss": 0.9704, + "step": 2575 + }, + { + "epoch": 0.3, + "grad_norm": 0.19140625, + "learning_rate": 0.00017748972229131757, + "loss": 0.9781, + "step": 2580 + }, + { + "epoch": 0.3, + "grad_norm": 0.1875, + "learning_rate": 0.00017736295632160494, + "loss": 0.9033, + "step": 2585 + }, + { + "epoch": 0.3, + "grad_norm": 0.181640625, + "learning_rate": 0.000177235879953838, + "loss": 0.9342, + "step": 2590 + }, + { + "epoch": 0.3, + "grad_norm": 0.1806640625, + "learning_rate": 0.00017710849369787646, + "loss": 0.996, + "step": 2595 + }, + { + "epoch": 0.3, + "grad_norm": 0.19921875, + "learning_rate": 0.00017698079806482343, + "loss": 0.9728, + "step": 2600 + }, + { + "epoch": 0.3, + "grad_norm": 0.20703125, + "learning_rate": 0.0001768527935670233, + "loss": 0.9596, + "step": 2605 + }, + { + "epoch": 0.3, + "grad_norm": 0.18359375, + "learning_rate": 0.0001767244807180597, + "loss": 0.9935, + "step": 2610 + }, + { + "epoch": 0.3, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001765958600327534, + "loss": 0.9791, + "step": 2615 + }, + { + "epoch": 0.3, + "grad_norm": 0.1982421875, + "learning_rate": 0.00017646693202716033, + "loss": 0.9885, + "step": 2620 + }, + { + "epoch": 0.3, + "grad_norm": 0.17578125, + "learning_rate": 0.00017633769721856938, + "loss": 0.9904, + "step": 2625 + }, + { + "epoch": 0.3, + "grad_norm": 0.189453125, + "learning_rate": 0.0001762081561255005, + "loss": 0.9769, + "step": 2630 + }, + { + "epoch": 0.3, + "grad_norm": 0.181640625, + "learning_rate": 0.0001760783092677025, + "loss": 0.9886, + "step": 2635 + }, + { + "epoch": 0.3, + "grad_norm": 0.1884765625, + "learning_rate": 0.00017594815716615093, + "loss": 0.9557, + "step": 2640 + }, + { + "epoch": 0.3, + "grad_norm": 0.1845703125, + "learning_rate": 0.00017581770034304613, + "loss": 0.9793, + "step": 2645 + }, + { + "epoch": 0.3, + "grad_norm": 0.1943359375, + "learning_rate": 0.000175686939321811, + "loss": 0.969, + "step": 2650 + }, + { + "epoch": 0.3, + "grad_norm": 0.197265625, + "learning_rate": 0.00017555587462708894, + "loss": 0.9779, + "step": 2655 + }, + { + "epoch": 0.31, + "grad_norm": 0.189453125, + "learning_rate": 0.00017542450678474184, + "loss": 0.9713, + "step": 2660 + }, + { + "epoch": 0.31, + "grad_norm": 0.1904296875, + "learning_rate": 0.00017529283632184784, + "loss": 1.0001, + "step": 2665 + }, + { + "epoch": 0.31, + "grad_norm": 0.1767578125, + "learning_rate": 0.00017516086376669917, + "loss": 0.9495, + "step": 2670 + }, + { + "epoch": 0.31, + "grad_norm": 0.189453125, + "learning_rate": 0.00017502858964880028, + "loss": 0.9374, + "step": 2675 + }, + { + "epoch": 0.31, + "grad_norm": 0.181640625, + "learning_rate": 0.00017489601449886547, + "loss": 0.9121, + "step": 2680 + }, + { + "epoch": 0.31, + "grad_norm": 0.205078125, + "learning_rate": 0.0001747631388488169, + "loss": 1.0079, + "step": 2685 + }, + { + "epoch": 0.31, + "grad_norm": 0.185546875, + "learning_rate": 0.00017462996323178235, + "loss": 0.9612, + "step": 2690 + }, + { + "epoch": 0.31, + "grad_norm": 0.1904296875, + "learning_rate": 0.00017449648818209314, + "loss": 0.9592, + "step": 2695 + }, + { + "epoch": 0.31, + "grad_norm": 0.185546875, + "learning_rate": 0.00017436271423528206, + "loss": 0.9785, + "step": 2700 + }, + { + "epoch": 0.31, + "grad_norm": 0.1787109375, + "learning_rate": 0.00017422864192808107, + "loss": 0.9565, + "step": 2705 + }, + { + "epoch": 0.31, + "grad_norm": 0.18359375, + "learning_rate": 0.0001740942717984192, + "loss": 0.9596, + "step": 2710 + }, + { + "epoch": 0.31, + "grad_norm": 0.1953125, + "learning_rate": 0.00017395960438542057, + "loss": 0.953, + "step": 2715 + }, + { + "epoch": 0.31, + "grad_norm": 0.193359375, + "learning_rate": 0.00017382464022940182, + "loss": 0.9306, + "step": 2720 + }, + { + "epoch": 0.31, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001736893798718704, + "loss": 0.9798, + "step": 2725 + }, + { + "epoch": 0.31, + "grad_norm": 0.1875, + "learning_rate": 0.00017355382385552206, + "loss": 0.9611, + "step": 2730 + }, + { + "epoch": 0.31, + "grad_norm": 0.17578125, + "learning_rate": 0.00017341797272423895, + "loss": 0.9406, + "step": 2735 + }, + { + "epoch": 0.31, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001732818270230871, + "loss": 0.9695, + "step": 2740 + }, + { + "epoch": 0.31, + "grad_norm": 0.1826171875, + "learning_rate": 0.00017314538729831455, + "loss": 0.939, + "step": 2745 + }, + { + "epoch": 0.32, + "grad_norm": 0.2158203125, + "learning_rate": 0.000173008654097349, + "loss": 0.9651, + "step": 2750 + }, + { + "epoch": 0.32, + "grad_norm": 0.1904296875, + "learning_rate": 0.00017287162796879568, + "loss": 0.9339, + "step": 2755 + }, + { + "epoch": 0.32, + "grad_norm": 0.1748046875, + "learning_rate": 0.000172734309462435, + "loss": 0.986, + "step": 2760 + }, + { + "epoch": 0.32, + "grad_norm": 0.1826171875, + "learning_rate": 0.00017259669912922062, + "loss": 0.9875, + "step": 2765 + }, + { + "epoch": 0.32, + "grad_norm": 0.1826171875, + "learning_rate": 0.00017245879752127692, + "loss": 0.9468, + "step": 2770 + }, + { + "epoch": 0.32, + "grad_norm": 0.1845703125, + "learning_rate": 0.00017232060519189703, + "loss": 0.9657, + "step": 2775 + }, + { + "epoch": 0.32, + "grad_norm": 0.19921875, + "learning_rate": 0.0001721821226955405, + "loss": 0.9782, + "step": 2780 + }, + { + "epoch": 0.32, + "grad_norm": 0.185546875, + "learning_rate": 0.00017204335058783112, + "loss": 0.9734, + "step": 2785 + }, + { + "epoch": 0.32, + "grad_norm": 0.18359375, + "learning_rate": 0.00017190428942555463, + "loss": 0.9407, + "step": 2790 + }, + { + "epoch": 0.32, + "grad_norm": 0.1884765625, + "learning_rate": 0.00017176493976665656, + "loss": 0.9671, + "step": 2795 + }, + { + "epoch": 0.32, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001716253021702399, + "loss": 0.9668, + "step": 2800 + }, + { + "epoch": 0.32, + "grad_norm": 0.1875, + "learning_rate": 0.000171485377196563, + "loss": 0.9813, + "step": 2805 + }, + { + "epoch": 0.32, + "grad_norm": 0.181640625, + "learning_rate": 0.0001713451654070371, + "loss": 0.9691, + "step": 2810 + }, + { + "epoch": 0.32, + "grad_norm": 0.1962890625, + "learning_rate": 0.00017120466736422437, + "loss": 0.9934, + "step": 2815 + }, + { + "epoch": 0.32, + "grad_norm": 0.181640625, + "learning_rate": 0.0001710638836318354, + "loss": 0.9472, + "step": 2820 + }, + { + "epoch": 0.32, + "grad_norm": 0.193359375, + "learning_rate": 0.00017092281477472704, + "loss": 0.9592, + "step": 2825 + }, + { + "epoch": 0.32, + "grad_norm": 0.185546875, + "learning_rate": 0.00017078146135890014, + "loss": 0.9529, + "step": 2830 + }, + { + "epoch": 0.33, + "grad_norm": 0.17578125, + "learning_rate": 0.0001706398239514973, + "loss": 0.9202, + "step": 2835 + }, + { + "epoch": 0.33, + "grad_norm": 0.1884765625, + "learning_rate": 0.0001704979031208004, + "loss": 0.9266, + "step": 2840 + }, + { + "epoch": 0.33, + "grad_norm": 0.1845703125, + "learning_rate": 0.00017035569943622876, + "loss": 0.9419, + "step": 2845 + }, + { + "epoch": 0.33, + "grad_norm": 0.18359375, + "learning_rate": 0.0001702132134683363, + "loss": 0.9281, + "step": 2850 + }, + { + "epoch": 0.33, + "grad_norm": 0.2001953125, + "learning_rate": 0.00017007044578880968, + "loss": 0.9769, + "step": 2855 + }, + { + "epoch": 0.33, + "grad_norm": 0.193359375, + "learning_rate": 0.00016992739697046586, + "loss": 0.9802, + "step": 2860 + }, + { + "epoch": 0.33, + "grad_norm": 0.1982421875, + "learning_rate": 0.00016978406758724968, + "loss": 0.9337, + "step": 2865 + }, + { + "epoch": 0.33, + "grad_norm": 0.193359375, + "learning_rate": 0.00016964045821423178, + "loss": 0.9348, + "step": 2870 + }, + { + "epoch": 0.33, + "grad_norm": 0.19921875, + "learning_rate": 0.0001694965694276061, + "loss": 0.9377, + "step": 2875 + }, + { + "epoch": 0.33, + "grad_norm": 0.19140625, + "learning_rate": 0.00016935240180468775, + "loss": 0.9952, + "step": 2880 + }, + { + "epoch": 0.33, + "grad_norm": 0.1865234375, + "learning_rate": 0.0001692079559239105, + "loss": 0.9321, + "step": 2885 + }, + { + "epoch": 0.33, + "grad_norm": 0.19140625, + "learning_rate": 0.00016906323236482465, + "loss": 0.9443, + "step": 2890 + }, + { + "epoch": 0.33, + "grad_norm": 0.1865234375, + "learning_rate": 0.00016891823170809447, + "loss": 0.95, + "step": 2895 + }, + { + "epoch": 0.33, + "grad_norm": 0.1826171875, + "learning_rate": 0.00016877295453549614, + "loss": 0.902, + "step": 2900 + }, + { + "epoch": 0.33, + "grad_norm": 0.1787109375, + "learning_rate": 0.00016862740142991527, + "loss": 0.9792, + "step": 2905 + }, + { + "epoch": 0.33, + "grad_norm": 0.189453125, + "learning_rate": 0.00016848157297534453, + "loss": 1.0632, + "step": 2910 + }, + { + "epoch": 0.33, + "grad_norm": 0.1884765625, + "learning_rate": 0.00016833546975688135, + "loss": 0.9456, + "step": 2915 + }, + { + "epoch": 0.34, + "grad_norm": 0.189453125, + "learning_rate": 0.0001681890923607256, + "loss": 0.9323, + "step": 2920 + }, + { + "epoch": 0.34, + "grad_norm": 0.1865234375, + "learning_rate": 0.00016804244137417725, + "loss": 0.9667, + "step": 2925 + }, + { + "epoch": 0.34, + "grad_norm": 0.1943359375, + "learning_rate": 0.00016789551738563384, + "loss": 1.0013, + "step": 2930 + }, + { + "epoch": 0.34, + "grad_norm": 0.177734375, + "learning_rate": 0.00016774832098458847, + "loss": 0.9697, + "step": 2935 + }, + { + "epoch": 0.34, + "grad_norm": 0.1806640625, + "learning_rate": 0.00016760085276162708, + "loss": 0.9564, + "step": 2940 + }, + { + "epoch": 0.34, + "grad_norm": 0.1796875, + "learning_rate": 0.00016745311330842622, + "loss": 0.9877, + "step": 2945 + }, + { + "epoch": 0.34, + "grad_norm": 0.173828125, + "learning_rate": 0.00016730510321775075, + "loss": 0.9751, + "step": 2950 + }, + { + "epoch": 0.34, + "grad_norm": 0.19921875, + "learning_rate": 0.00016715682308345131, + "loss": 0.9653, + "step": 2955 + }, + { + "epoch": 0.34, + "grad_norm": 0.19140625, + "learning_rate": 0.00016700827350046206, + "loss": 0.9419, + "step": 2960 + }, + { + "epoch": 0.34, + "grad_norm": 0.1923828125, + "learning_rate": 0.00016685945506479829, + "loss": 0.967, + "step": 2965 + }, + { + "epoch": 0.34, + "grad_norm": 0.1845703125, + "learning_rate": 0.00016671036837355386, + "loss": 0.9686, + "step": 2970 + }, + { + "epoch": 0.34, + "grad_norm": 0.185546875, + "learning_rate": 0.00016656101402489913, + "loss": 0.9312, + "step": 2975 + }, + { + "epoch": 0.34, + "grad_norm": 0.205078125, + "learning_rate": 0.00016641139261807818, + "loss": 0.9774, + "step": 2980 + }, + { + "epoch": 0.34, + "grad_norm": 0.189453125, + "learning_rate": 0.00016626150475340667, + "loss": 0.9456, + "step": 2985 + }, + { + "epoch": 0.34, + "grad_norm": 0.1806640625, + "learning_rate": 0.00016611135103226937, + "loss": 0.9756, + "step": 2990 + }, + { + "epoch": 0.34, + "grad_norm": 0.1787109375, + "learning_rate": 0.00016596093205711765, + "loss": 0.9411, + "step": 2995 + }, + { + "epoch": 0.34, + "grad_norm": 0.201171875, + "learning_rate": 0.00016581024843146725, + "loss": 1.0284, + "step": 3000 + }, + { + "epoch": 0.34, + "grad_norm": 0.18359375, + "learning_rate": 0.0001656593007598956, + "loss": 0.9242, + "step": 3005 + }, + { + "epoch": 0.35, + "grad_norm": 0.1962890625, + "learning_rate": 0.00016550808964803978, + "loss": 0.9531, + "step": 3010 + }, + { + "epoch": 0.35, + "grad_norm": 0.2001953125, + "learning_rate": 0.00016535661570259359, + "loss": 0.9997, + "step": 3015 + }, + { + "epoch": 0.35, + "grad_norm": 0.18359375, + "learning_rate": 0.00016520487953130552, + "loss": 0.9521, + "step": 3020 + }, + { + "epoch": 0.35, + "grad_norm": 0.1923828125, + "learning_rate": 0.00016505288174297616, + "loss": 0.9336, + "step": 3025 + }, + { + "epoch": 0.35, + "grad_norm": 0.1904296875, + "learning_rate": 0.00016490062294745571, + "loss": 0.9519, + "step": 3030 + }, + { + "epoch": 0.35, + "grad_norm": 0.1748046875, + "learning_rate": 0.0001647481037556417, + "loss": 0.9587, + "step": 3035 + }, + { + "epoch": 0.35, + "grad_norm": 0.1962890625, + "learning_rate": 0.00016459532477947634, + "loss": 0.9376, + "step": 3040 + }, + { + "epoch": 0.35, + "grad_norm": 0.2001953125, + "learning_rate": 0.00016444228663194417, + "loss": 0.9735, + "step": 3045 + }, + { + "epoch": 0.35, + "grad_norm": 0.1845703125, + "learning_rate": 0.00016428898992706955, + "loss": 0.9576, + "step": 3050 + }, + { + "epoch": 0.35, + "grad_norm": 0.1796875, + "learning_rate": 0.0001641354352799144, + "loss": 0.9539, + "step": 3055 + }, + { + "epoch": 0.35, + "grad_norm": 0.1884765625, + "learning_rate": 0.00016398162330657533, + "loss": 0.9193, + "step": 3060 + }, + { + "epoch": 0.35, + "grad_norm": 0.203125, + "learning_rate": 0.00016382755462418153, + "loss": 0.9475, + "step": 3065 + }, + { + "epoch": 0.35, + "grad_norm": 0.189453125, + "learning_rate": 0.0001636732298508922, + "loss": 0.9172, + "step": 3070 + }, + { + "epoch": 0.35, + "grad_norm": 0.1796875, + "learning_rate": 0.00016351864960589393, + "loss": 0.9774, + "step": 3075 + }, + { + "epoch": 0.35, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001633638145093984, + "loss": 0.9509, + "step": 3080 + }, + { + "epoch": 0.35, + "grad_norm": 0.2099609375, + "learning_rate": 0.00016320872518263982, + "loss": 0.9406, + "step": 3085 + }, + { + "epoch": 0.35, + "grad_norm": 0.1826171875, + "learning_rate": 0.00016305338224787235, + "loss": 0.9813, + "step": 3090 + }, + { + "epoch": 0.36, + "grad_norm": 0.189453125, + "learning_rate": 0.00016289778632836774, + "loss": 0.9551, + "step": 3095 + }, + { + "epoch": 0.36, + "grad_norm": 0.1767578125, + "learning_rate": 0.0001627419380484128, + "loss": 0.9364, + "step": 3100 + }, + { + "epoch": 0.36, + "grad_norm": 0.1884765625, + "learning_rate": 0.00016258583803330681, + "loss": 0.9944, + "step": 3105 + }, + { + "epoch": 0.36, + "grad_norm": 0.1826171875, + "learning_rate": 0.00016242948690935912, + "loss": 0.9569, + "step": 3110 + }, + { + "epoch": 0.36, + "grad_norm": 0.19140625, + "learning_rate": 0.0001622728853038865, + "loss": 0.9911, + "step": 3115 + }, + { + "epoch": 0.36, + "grad_norm": 0.1943359375, + "learning_rate": 0.00016211603384521083, + "loss": 1.0201, + "step": 3120 + }, + { + "epoch": 0.36, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001619589331626564, + "loss": 1.0051, + "step": 3125 + }, + { + "epoch": 0.36, + "grad_norm": 0.185546875, + "learning_rate": 0.00016180158388654742, + "loss": 0.9384, + "step": 3130 + }, + { + "epoch": 0.36, + "grad_norm": 0.185546875, + "learning_rate": 0.00016164398664820557, + "loss": 0.9649, + "step": 3135 + }, + { + "epoch": 0.36, + "grad_norm": 0.1884765625, + "learning_rate": 0.00016148614207994735, + "loss": 0.9263, + "step": 3140 + }, + { + "epoch": 0.36, + "grad_norm": 0.189453125, + "learning_rate": 0.00016132805081508163, + "loss": 0.9732, + "step": 3145 + }, + { + "epoch": 0.36, + "grad_norm": 0.1787109375, + "learning_rate": 0.00016116971348790712, + "loss": 0.9238, + "step": 3150 + }, + { + "epoch": 0.36, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001610111307337097, + "loss": 0.9184, + "step": 3155 + }, + { + "epoch": 0.36, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001608523031887601, + "loss": 0.9524, + "step": 3160 + }, + { + "epoch": 0.36, + "grad_norm": 0.193359375, + "learning_rate": 0.00016069323149031105, + "loss": 0.9733, + "step": 3165 + }, + { + "epoch": 0.36, + "grad_norm": 0.1875, + "learning_rate": 0.00016053391627659505, + "loss": 0.9432, + "step": 3170 + }, + { + "epoch": 0.36, + "grad_norm": 0.181640625, + "learning_rate": 0.00016037435818682142, + "loss": 0.9818, + "step": 3175 + }, + { + "epoch": 0.36, + "grad_norm": 0.1875, + "learning_rate": 0.0001602145578611742, + "loss": 0.9223, + "step": 3180 + }, + { + "epoch": 0.37, + "grad_norm": 0.18359375, + "learning_rate": 0.00016005451594080911, + "loss": 0.9526, + "step": 3185 + }, + { + "epoch": 0.37, + "grad_norm": 0.1884765625, + "learning_rate": 0.00015989423306785142, + "loss": 0.9617, + "step": 3190 + }, + { + "epoch": 0.37, + "grad_norm": 0.1826171875, + "learning_rate": 0.00015973370988539294, + "loss": 0.9638, + "step": 3195 + }, + { + "epoch": 0.37, + "grad_norm": 0.197265625, + "learning_rate": 0.00015957294703748982, + "loss": 0.9456, + "step": 3200 + }, + { + "epoch": 0.37, + "grad_norm": 0.1982421875, + "learning_rate": 0.00015941194516915977, + "loss": 0.9243, + "step": 3205 + }, + { + "epoch": 0.37, + "grad_norm": 0.1904296875, + "learning_rate": 0.00015925070492637944, + "loss": 0.9099, + "step": 3210 + }, + { + "epoch": 0.37, + "grad_norm": 0.1962890625, + "learning_rate": 0.00015908922695608192, + "loss": 0.9662, + "step": 3215 + }, + { + "epoch": 0.37, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001589275119061542, + "loss": 0.9263, + "step": 3220 + }, + { + "epoch": 0.37, + "grad_norm": 0.1923828125, + "learning_rate": 0.00015876556042543433, + "loss": 0.985, + "step": 3225 + }, + { + "epoch": 0.37, + "grad_norm": 0.1953125, + "learning_rate": 0.00015860337316370916, + "loss": 0.9458, + "step": 3230 + }, + { + "epoch": 0.37, + "grad_norm": 0.1904296875, + "learning_rate": 0.00015844095077171142, + "loss": 0.9781, + "step": 3235 + }, + { + "epoch": 0.37, + "grad_norm": 0.18359375, + "learning_rate": 0.0001582782939011173, + "loss": 0.971, + "step": 3240 + }, + { + "epoch": 0.37, + "grad_norm": 0.193359375, + "learning_rate": 0.0001581154032045437, + "loss": 0.9509, + "step": 3245 + }, + { + "epoch": 0.37, + "grad_norm": 0.1806640625, + "learning_rate": 0.00015795227933554568, + "loss": 0.9443, + "step": 3250 + }, + { + "epoch": 0.37, + "grad_norm": 0.1865234375, + "learning_rate": 0.000157788922948614, + "loss": 0.9901, + "step": 3255 + }, + { + "epoch": 0.37, + "grad_norm": 0.1953125, + "learning_rate": 0.00015762533469917216, + "loss": 0.9864, + "step": 3260 + }, + { + "epoch": 0.37, + "grad_norm": 0.201171875, + "learning_rate": 0.00015746151524357403, + "loss": 0.9442, + "step": 3265 + }, + { + "epoch": 0.38, + "grad_norm": 0.1904296875, + "learning_rate": 0.00015729746523910113, + "loss": 0.9724, + "step": 3270 + }, + { + "epoch": 0.38, + "grad_norm": 0.1806640625, + "learning_rate": 0.00015713318534395996, + "loss": 0.935, + "step": 3275 + }, + { + "epoch": 0.38, + "grad_norm": 0.1884765625, + "learning_rate": 0.00015696867621727942, + "loss": 0.9613, + "step": 3280 + }, + { + "epoch": 0.38, + "grad_norm": 0.1923828125, + "learning_rate": 0.00015680393851910811, + "loss": 0.9971, + "step": 3285 + }, + { + "epoch": 0.38, + "grad_norm": 0.1806640625, + "learning_rate": 0.00015663897291041175, + "loss": 0.9521, + "step": 3290 + }, + { + "epoch": 0.38, + "grad_norm": 0.193359375, + "learning_rate": 0.0001564737800530705, + "loss": 0.9817, + "step": 3295 + }, + { + "epoch": 0.38, + "grad_norm": 0.1884765625, + "learning_rate": 0.00015630836060987624, + "loss": 0.9148, + "step": 3300 + }, + { + "epoch": 0.38, + "grad_norm": 0.1962890625, + "learning_rate": 0.00015614271524453, + "loss": 1.0246, + "step": 3305 + }, + { + "epoch": 0.38, + "grad_norm": 0.1943359375, + "learning_rate": 0.00015597684462163923, + "loss": 0.9814, + "step": 3310 + }, + { + "epoch": 0.38, + "grad_norm": 0.177734375, + "learning_rate": 0.00015581074940671527, + "loss": 0.964, + "step": 3315 + }, + { + "epoch": 0.38, + "grad_norm": 0.197265625, + "learning_rate": 0.0001556444302661704, + "loss": 0.9563, + "step": 3320 + }, + { + "epoch": 0.38, + "grad_norm": 0.1826171875, + "learning_rate": 0.00015547788786731553, + "loss": 0.918, + "step": 3325 + }, + { + "epoch": 0.38, + "grad_norm": 0.197265625, + "learning_rate": 0.00015531112287835717, + "loss": 0.9815, + "step": 3330 + }, + { + "epoch": 0.38, + "grad_norm": 0.1875, + "learning_rate": 0.00015514413596839498, + "loss": 0.9684, + "step": 3335 + }, + { + "epoch": 0.38, + "grad_norm": 0.193359375, + "learning_rate": 0.00015497692780741908, + "loss": 0.9207, + "step": 3340 + }, + { + "epoch": 0.38, + "grad_norm": 0.185546875, + "learning_rate": 0.00015480949906630724, + "loss": 0.9295, + "step": 3345 + }, + { + "epoch": 0.38, + "grad_norm": 0.1796875, + "learning_rate": 0.0001546418504168222, + "loss": 0.9619, + "step": 3350 + }, + { + "epoch": 0.38, + "grad_norm": 0.1767578125, + "learning_rate": 0.0001544739825316091, + "loss": 0.9399, + "step": 3355 + }, + { + "epoch": 0.39, + "grad_norm": 0.1787109375, + "learning_rate": 0.00015430589608419264, + "loss": 0.9613, + "step": 3360 + }, + { + "epoch": 0.39, + "grad_norm": 0.1796875, + "learning_rate": 0.00015413759174897455, + "loss": 0.978, + "step": 3365 + }, + { + "epoch": 0.39, + "grad_norm": 0.1796875, + "learning_rate": 0.00015396907020123068, + "loss": 0.9336, + "step": 3370 + }, + { + "epoch": 0.39, + "grad_norm": 0.1796875, + "learning_rate": 0.00015380033211710842, + "loss": 0.9627, + "step": 3375 + }, + { + "epoch": 0.39, + "grad_norm": 0.201171875, + "learning_rate": 0.00015363137817362392, + "loss": 0.9808, + "step": 3380 + }, + { + "epoch": 0.39, + "grad_norm": 0.19140625, + "learning_rate": 0.00015346220904865945, + "loss": 0.9829, + "step": 3385 + }, + { + "epoch": 0.39, + "grad_norm": 0.177734375, + "learning_rate": 0.00015329282542096064, + "loss": 0.9156, + "step": 3390 + }, + { + "epoch": 0.39, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001531232279701337, + "loss": 0.9248, + "step": 3395 + }, + { + "epoch": 0.39, + "grad_norm": 0.1865234375, + "learning_rate": 0.00015295341737664285, + "loss": 0.9772, + "step": 3400 + }, + { + "epoch": 0.39, + "grad_norm": 0.205078125, + "learning_rate": 0.00015278339432180736, + "loss": 0.9806, + "step": 3405 + }, + { + "epoch": 0.39, + "grad_norm": 0.1865234375, + "learning_rate": 0.000152613159487799, + "loss": 0.9854, + "step": 3410 + }, + { + "epoch": 0.39, + "grad_norm": 0.1826171875, + "learning_rate": 0.00015244271355763933, + "loss": 0.9877, + "step": 3415 + }, + { + "epoch": 0.39, + "grad_norm": 0.197265625, + "learning_rate": 0.00015227205721519675, + "loss": 0.939, + "step": 3420 + }, + { + "epoch": 0.39, + "grad_norm": 0.1875, + "learning_rate": 0.0001521011911451839, + "loss": 0.9387, + "step": 3425 + }, + { + "epoch": 0.39, + "grad_norm": 0.18359375, + "learning_rate": 0.00015193011603315503, + "loss": 0.9922, + "step": 3430 + }, + { + "epoch": 0.39, + "grad_norm": 0.181640625, + "learning_rate": 0.00015175883256550291, + "loss": 0.9371, + "step": 3435 + }, + { + "epoch": 0.39, + "grad_norm": 0.18359375, + "learning_rate": 0.00015158734142945644, + "loss": 0.9549, + "step": 3440 + }, + { + "epoch": 0.4, + "grad_norm": 0.1923828125, + "learning_rate": 0.00015141564331307768, + "loss": 0.9199, + "step": 3445 + }, + { + "epoch": 0.4, + "grad_norm": 0.185546875, + "learning_rate": 0.0001512437389052591, + "loss": 0.9866, + "step": 3450 + }, + { + "epoch": 0.4, + "grad_norm": 0.1787109375, + "learning_rate": 0.00015107162889572092, + "loss": 0.9582, + "step": 3455 + }, + { + "epoch": 0.4, + "grad_norm": 0.1796875, + "learning_rate": 0.0001508993139750083, + "loss": 0.9177, + "step": 3460 + }, + { + "epoch": 0.4, + "grad_norm": 0.193359375, + "learning_rate": 0.00015072679483448852, + "loss": 0.9264, + "step": 3465 + }, + { + "epoch": 0.4, + "grad_norm": 0.1953125, + "learning_rate": 0.0001505540721663481, + "loss": 0.9603, + "step": 3470 + }, + { + "epoch": 0.4, + "grad_norm": 0.197265625, + "learning_rate": 0.00015038114666359042, + "loss": 0.8968, + "step": 3475 + }, + { + "epoch": 0.4, + "grad_norm": 0.19140625, + "learning_rate": 0.0001502080190200325, + "loss": 0.9603, + "step": 3480 + }, + { + "epoch": 0.4, + "grad_norm": 0.1796875, + "learning_rate": 0.00015003468993030248, + "loss": 0.9649, + "step": 3485 + }, + { + "epoch": 0.4, + "grad_norm": 0.181640625, + "learning_rate": 0.00014986116008983664, + "loss": 0.9562, + "step": 3490 + }, + { + "epoch": 0.4, + "grad_norm": 0.1923828125, + "learning_rate": 0.00014968743019487686, + "loss": 0.9489, + "step": 3495 + }, + { + "epoch": 0.4, + "grad_norm": 0.1796875, + "learning_rate": 0.00014951350094246762, + "loss": 0.9261, + "step": 3500 + }, + { + "epoch": 0.4, + "grad_norm": 0.1865234375, + "learning_rate": 0.00014933937303045325, + "loss": 0.9313, + "step": 3505 + }, + { + "epoch": 0.4, + "grad_norm": 0.193359375, + "learning_rate": 0.0001491650471574751, + "loss": 0.9792, + "step": 3510 + }, + { + "epoch": 0.4, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014899052402296895, + "loss": 0.9988, + "step": 3515 + }, + { + "epoch": 0.4, + "grad_norm": 0.177734375, + "learning_rate": 0.00014881580432716182, + "loss": 0.9285, + "step": 3520 + }, + { + "epoch": 0.4, + "grad_norm": 0.189453125, + "learning_rate": 0.0001486408887710696, + "loss": 1.0013, + "step": 3525 + }, + { + "epoch": 0.41, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014846577805649388, + "loss": 0.9516, + "step": 3530 + }, + { + "epoch": 0.41, + "grad_norm": 0.1875, + "learning_rate": 0.0001482904728860193, + "loss": 0.9365, + "step": 3535 + }, + { + "epoch": 0.41, + "grad_norm": 0.1904296875, + "learning_rate": 0.00014811497396301072, + "loss": 1.0238, + "step": 3540 + }, + { + "epoch": 0.41, + "grad_norm": 0.1748046875, + "learning_rate": 0.0001479392819916103, + "loss": 0.9546, + "step": 3545 + }, + { + "epoch": 0.41, + "grad_norm": 0.1865234375, + "learning_rate": 0.00014776339767673491, + "loss": 0.9308, + "step": 3550 + }, + { + "epoch": 0.41, + "grad_norm": 0.185546875, + "learning_rate": 0.00014758732172407302, + "loss": 0.8988, + "step": 3555 + }, + { + "epoch": 0.41, + "grad_norm": 0.18359375, + "learning_rate": 0.000147411054840082, + "loss": 0.9015, + "step": 3560 + }, + { + "epoch": 0.41, + "grad_norm": 0.185546875, + "learning_rate": 0.00014723459773198535, + "loss": 0.9554, + "step": 3565 + }, + { + "epoch": 0.41, + "grad_norm": 0.181640625, + "learning_rate": 0.00014705795110776974, + "loss": 0.9538, + "step": 3570 + }, + { + "epoch": 0.41, + "grad_norm": 0.181640625, + "learning_rate": 0.00014688111567618225, + "loss": 0.9782, + "step": 3575 + }, + { + "epoch": 0.41, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001467040921467275, + "loss": 0.9925, + "step": 3580 + }, + { + "epoch": 0.41, + "grad_norm": 0.18359375, + "learning_rate": 0.00014652688122966475, + "loss": 0.9505, + "step": 3585 + }, + { + "epoch": 0.41, + "grad_norm": 0.19140625, + "learning_rate": 0.00014634948363600518, + "loss": 0.9953, + "step": 3590 + }, + { + "epoch": 0.41, + "grad_norm": 0.2001953125, + "learning_rate": 0.0001461719000775089, + "loss": 0.9487, + "step": 3595 + }, + { + "epoch": 0.41, + "grad_norm": 0.1865234375, + "learning_rate": 0.00014599413126668213, + "loss": 0.9231, + "step": 3600 + }, + { + "epoch": 0.41, + "grad_norm": 0.1796875, + "learning_rate": 0.00014581617791677452, + "loss": 0.9661, + "step": 3605 + }, + { + "epoch": 0.41, + "grad_norm": 0.2265625, + "learning_rate": 0.00014563804074177588, + "loss": 0.9161, + "step": 3610 + }, + { + "epoch": 0.41, + "grad_norm": 0.21484375, + "learning_rate": 0.0001454597204564139, + "loss": 0.9306, + "step": 3615 + }, + { + "epoch": 0.42, + "grad_norm": 0.1796875, + "learning_rate": 0.00014528121777615058, + "loss": 0.9724, + "step": 3620 + }, + { + "epoch": 0.42, + "grad_norm": 0.181640625, + "learning_rate": 0.00014510253341718, + "loss": 0.905, + "step": 3625 + }, + { + "epoch": 0.42, + "grad_norm": 0.1904296875, + "learning_rate": 0.0001449236680964251, + "loss": 0.9708, + "step": 3630 + }, + { + "epoch": 0.42, + "grad_norm": 0.1962890625, + "learning_rate": 0.00014474462253153482, + "loss": 0.9457, + "step": 3635 + }, + { + "epoch": 0.42, + "grad_norm": 0.1962890625, + "learning_rate": 0.00014456539744088138, + "loss": 0.983, + "step": 3640 + }, + { + "epoch": 0.42, + "grad_norm": 0.1875, + "learning_rate": 0.00014438599354355723, + "loss": 0.9451, + "step": 3645 + }, + { + "epoch": 0.42, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014420641155937224, + "loss": 0.9913, + "step": 3650 + }, + { + "epoch": 0.42, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014402665220885087, + "loss": 0.9705, + "step": 3655 + }, + { + "epoch": 0.42, + "grad_norm": 0.18359375, + "learning_rate": 0.00014384671621322915, + "loss": 0.9837, + "step": 3660 + }, + { + "epoch": 0.42, + "grad_norm": 0.20703125, + "learning_rate": 0.00014366660429445183, + "loss": 0.9603, + "step": 3665 + }, + { + "epoch": 0.42, + "grad_norm": 0.1875, + "learning_rate": 0.00014348631717516953, + "loss": 0.9084, + "step": 3670 + }, + { + "epoch": 0.42, + "grad_norm": 0.1845703125, + "learning_rate": 0.00014330585557873588, + "loss": 0.9671, + "step": 3675 + }, + { + "epoch": 0.42, + "grad_norm": 0.1875, + "learning_rate": 0.00014312522022920444, + "loss": 1.0088, + "step": 3680 + }, + { + "epoch": 0.42, + "grad_norm": 0.1796875, + "learning_rate": 0.00014294441185132607, + "loss": 0.9046, + "step": 3685 + }, + { + "epoch": 0.42, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014276343117054563, + "loss": 0.9526, + "step": 3690 + }, + { + "epoch": 0.42, + "grad_norm": 0.201171875, + "learning_rate": 0.00014258227891299948, + "loss": 0.9559, + "step": 3695 + }, + { + "epoch": 0.42, + "grad_norm": 0.1826171875, + "learning_rate": 0.00014240095580551234, + "loss": 0.9475, + "step": 3700 + }, + { + "epoch": 0.43, + "grad_norm": 0.1845703125, + "learning_rate": 0.00014221946257559438, + "loss": 0.9121, + "step": 3705 + }, + { + "epoch": 0.43, + "grad_norm": 0.1962890625, + "learning_rate": 0.0001420377999514384, + "loss": 0.9302, + "step": 3710 + }, + { + "epoch": 0.43, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001418559686619168, + "loss": 0.9858, + "step": 3715 + }, + { + "epoch": 0.43, + "grad_norm": 0.1884765625, + "learning_rate": 0.00014167396943657874, + "loss": 1.0036, + "step": 3720 + }, + { + "epoch": 0.43, + "grad_norm": 0.189453125, + "learning_rate": 0.00014149180300564713, + "loss": 0.9651, + "step": 3725 + }, + { + "epoch": 0.43, + "grad_norm": 0.18359375, + "learning_rate": 0.0001413094701000158, + "loss": 1.0074, + "step": 3730 + }, + { + "epoch": 0.43, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001411269714512465, + "loss": 0.9187, + "step": 3735 + }, + { + "epoch": 0.43, + "grad_norm": 0.19140625, + "learning_rate": 0.00014094430779156597, + "loss": 0.9897, + "step": 3740 + }, + { + "epoch": 0.43, + "grad_norm": 0.1845703125, + "learning_rate": 0.00014076147985386296, + "loss": 0.9479, + "step": 3745 + }, + { + "epoch": 0.43, + "grad_norm": 0.1767578125, + "learning_rate": 0.00014057848837168547, + "loss": 0.9694, + "step": 3750 + }, + { + "epoch": 0.43, + "grad_norm": 0.185546875, + "learning_rate": 0.00014039533407923758, + "loss": 0.9581, + "step": 3755 + }, + { + "epoch": 0.43, + "grad_norm": 0.19140625, + "learning_rate": 0.00014021201771137663, + "loss": 0.9638, + "step": 3760 + }, + { + "epoch": 0.43, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001400285400036102, + "loss": 0.9051, + "step": 3765 + }, + { + "epoch": 0.43, + "grad_norm": 0.1865234375, + "learning_rate": 0.00013984490169209333, + "loss": 0.9816, + "step": 3770 + }, + { + "epoch": 0.43, + "grad_norm": 0.189453125, + "learning_rate": 0.00013966110351362523, + "loss": 0.9417, + "step": 3775 + }, + { + "epoch": 0.43, + "grad_norm": 0.2060546875, + "learning_rate": 0.00013947714620564678, + "loss": 1.0037, + "step": 3780 + }, + { + "epoch": 0.43, + "grad_norm": 0.173828125, + "learning_rate": 0.0001392930305062371, + "loss": 0.9123, + "step": 3785 + }, + { + "epoch": 0.43, + "grad_norm": 0.1708984375, + "learning_rate": 0.00013910875715411098, + "loss": 0.9404, + "step": 3790 + }, + { + "epoch": 0.44, + "grad_norm": 0.1865234375, + "learning_rate": 0.00013892432688861566, + "loss": 1.0267, + "step": 3795 + }, + { + "epoch": 0.44, + "grad_norm": 0.19140625, + "learning_rate": 0.000138739740449728, + "loss": 0.9702, + "step": 3800 + }, + { + "epoch": 0.44, + "grad_norm": 0.1884765625, + "learning_rate": 0.00013855499857805137, + "loss": 0.9276, + "step": 3805 + }, + { + "epoch": 0.44, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001383701020148129, + "loss": 0.9404, + "step": 3810 + }, + { + "epoch": 0.44, + "grad_norm": 0.189453125, + "learning_rate": 0.0001381850515018603, + "loss": 0.9507, + "step": 3815 + }, + { + "epoch": 0.44, + "grad_norm": 0.185546875, + "learning_rate": 0.000137999847781659, + "loss": 0.9401, + "step": 3820 + }, + { + "epoch": 0.44, + "grad_norm": 0.1875, + "learning_rate": 0.00013781449159728907, + "loss": 0.9393, + "step": 3825 + }, + { + "epoch": 0.44, + "grad_norm": 0.1865234375, + "learning_rate": 0.00013762898369244238, + "loss": 0.9554, + "step": 3830 + }, + { + "epoch": 0.44, + "grad_norm": 0.1796875, + "learning_rate": 0.00013744332481141952, + "loss": 0.9233, + "step": 3835 + }, + { + "epoch": 0.44, + "grad_norm": 0.181640625, + "learning_rate": 0.00013725751569912682, + "loss": 0.9486, + "step": 3840 + }, + { + "epoch": 0.44, + "grad_norm": 0.181640625, + "learning_rate": 0.00013707155710107326, + "loss": 0.9328, + "step": 3845 + }, + { + "epoch": 0.44, + "grad_norm": 0.1884765625, + "learning_rate": 0.00013688544976336783, + "loss": 1.0144, + "step": 3850 + }, + { + "epoch": 0.44, + "grad_norm": 0.181640625, + "learning_rate": 0.0001366991944327161, + "loss": 0.9676, + "step": 3855 + }, + { + "epoch": 0.44, + "grad_norm": 0.1845703125, + "learning_rate": 0.00013651279185641752, + "loss": 0.9442, + "step": 3860 + }, + { + "epoch": 0.44, + "grad_norm": 0.1875, + "learning_rate": 0.00013632624278236223, + "loss": 0.9467, + "step": 3865 + }, + { + "epoch": 0.44, + "grad_norm": 0.1787109375, + "learning_rate": 0.0001361395479590283, + "loss": 0.9365, + "step": 3870 + }, + { + "epoch": 0.44, + "grad_norm": 0.19140625, + "learning_rate": 0.00013595270813547845, + "loss": 0.9367, + "step": 3875 + }, + { + "epoch": 0.45, + "grad_norm": 0.1826171875, + "learning_rate": 0.00013576572406135722, + "loss": 0.9691, + "step": 3880 + }, + { + "epoch": 0.45, + "grad_norm": 0.1865234375, + "learning_rate": 0.0001355785964868879, + "loss": 0.9681, + "step": 3885 + }, + { + "epoch": 0.45, + "grad_norm": 0.1845703125, + "learning_rate": 0.00013539132616286956, + "loss": 0.9321, + "step": 3890 + }, + { + "epoch": 0.45, + "grad_norm": 0.177734375, + "learning_rate": 0.000135203913840674, + "loss": 0.9851, + "step": 3895 + }, + { + "epoch": 0.45, + "grad_norm": 0.1943359375, + "learning_rate": 0.00013501636027224282, + "loss": 0.9517, + "step": 3900 + }, + { + "epoch": 0.45, + "grad_norm": 0.1875, + "learning_rate": 0.00013482866621008417, + "loss": 0.9395, + "step": 3905 + }, + { + "epoch": 0.45, + "grad_norm": 0.25, + "learning_rate": 0.0001346408324072701, + "loss": 0.9875, + "step": 3910 + }, + { + "epoch": 0.45, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001344528596174331, + "loss": 0.9648, + "step": 3915 + }, + { + "epoch": 0.45, + "grad_norm": 0.1953125, + "learning_rate": 0.0001342647485947635, + "loss": 0.9321, + "step": 3920 + }, + { + "epoch": 0.45, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001340765000940062, + "loss": 0.9561, + "step": 3925 + }, + { + "epoch": 0.45, + "grad_norm": 0.1875, + "learning_rate": 0.00013388811487045766, + "loss": 0.8957, + "step": 3930 + }, + { + "epoch": 0.45, + "grad_norm": 0.1953125, + "learning_rate": 0.00013369959367996286, + "loss": 0.952, + "step": 3935 + }, + { + "epoch": 0.45, + "grad_norm": 0.2001953125, + "learning_rate": 0.0001335109372789125, + "loss": 0.9556, + "step": 3940 + }, + { + "epoch": 0.45, + "grad_norm": 0.1865234375, + "learning_rate": 0.00013332214642423952, + "loss": 0.9346, + "step": 3945 + }, + { + "epoch": 0.45, + "grad_norm": 0.177734375, + "learning_rate": 0.00013313322187341652, + "loss": 0.9259, + "step": 3950 + }, + { + "epoch": 0.45, + "grad_norm": 0.189453125, + "learning_rate": 0.00013294416438445244, + "loss": 0.918, + "step": 3955 + }, + { + "epoch": 0.45, + "grad_norm": 0.1767578125, + "learning_rate": 0.00013275497471588953, + "loss": 0.9664, + "step": 3960 + }, + { + "epoch": 0.45, + "grad_norm": 0.1884765625, + "learning_rate": 0.00013256565362680057, + "loss": 0.9847, + "step": 3965 + }, + { + "epoch": 0.46, + "grad_norm": 0.1904296875, + "learning_rate": 0.0001323762018767854, + "loss": 0.9926, + "step": 3970 + }, + { + "epoch": 0.46, + "grad_norm": 0.1845703125, + "learning_rate": 0.00013218662022596828, + "loss": 0.9912, + "step": 3975 + }, + { + "epoch": 0.46, + "grad_norm": 0.1796875, + "learning_rate": 0.00013199690943499457, + "loss": 0.9541, + "step": 3980 + }, + { + "epoch": 0.46, + "grad_norm": 0.177734375, + "learning_rate": 0.0001318070702650278, + "loss": 0.909, + "step": 3985 + }, + { + "epoch": 0.46, + "grad_norm": 0.173828125, + "learning_rate": 0.0001316171034777466, + "loss": 0.9476, + "step": 3990 + }, + { + "epoch": 0.46, + "grad_norm": 0.1796875, + "learning_rate": 0.00013142700983534157, + "loss": 0.9356, + "step": 3995 + }, + { + "epoch": 0.46, + "grad_norm": 0.1806640625, + "learning_rate": 0.00013123679010051232, + "loss": 0.9414, + "step": 4000 + }, + { + "epoch": 0.46, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001310464450364644, + "loss": 0.8908, + "step": 4005 + }, + { + "epoch": 0.46, + "grad_norm": 0.1796875, + "learning_rate": 0.00013085597540690618, + "loss": 0.9375, + "step": 4010 + }, + { + "epoch": 0.46, + "grad_norm": 0.181640625, + "learning_rate": 0.0001306653819760458, + "loss": 0.8908, + "step": 4015 + }, + { + "epoch": 0.46, + "grad_norm": 0.1796875, + "learning_rate": 0.00013047466550858812, + "loss": 0.9261, + "step": 4020 + }, + { + "epoch": 0.46, + "grad_norm": 0.1962890625, + "learning_rate": 0.00013028382676973178, + "loss": 1.0016, + "step": 4025 + }, + { + "epoch": 0.46, + "grad_norm": 0.1982421875, + "learning_rate": 0.00013009286652516575, + "loss": 0.915, + "step": 4030 + }, + { + "epoch": 0.46, + "grad_norm": 0.1796875, + "learning_rate": 0.00012990178554106674, + "loss": 0.9558, + "step": 4035 + }, + { + "epoch": 0.46, + "grad_norm": 0.1962890625, + "learning_rate": 0.00012971058458409576, + "loss": 0.9889, + "step": 4040 + }, + { + "epoch": 0.46, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001295192644213952, + "loss": 0.98, + "step": 4045 + }, + { + "epoch": 0.46, + "grad_norm": 0.185546875, + "learning_rate": 0.00012932782582058584, + "loss": 0.9573, + "step": 4050 + }, + { + "epoch": 0.47, + "grad_norm": 0.1943359375, + "learning_rate": 0.00012913626954976355, + "loss": 0.9243, + "step": 4055 + }, + { + "epoch": 0.47, + "grad_norm": 0.1962890625, + "learning_rate": 0.00012894459637749627, + "loss": 1.0168, + "step": 4060 + }, + { + "epoch": 0.47, + "grad_norm": 0.1875, + "learning_rate": 0.00012875280707282116, + "loss": 0.967, + "step": 4065 + }, + { + "epoch": 0.47, + "grad_norm": 0.189453125, + "learning_rate": 0.0001285609024052411, + "loss": 0.986, + "step": 4070 + }, + { + "epoch": 0.47, + "grad_norm": 0.18359375, + "learning_rate": 0.00012836888314472208, + "loss": 0.903, + "step": 4075 + }, + { + "epoch": 0.47, + "grad_norm": 0.1962890625, + "learning_rate": 0.00012817675006168963, + "loss": 0.9617, + "step": 4080 + }, + { + "epoch": 0.47, + "grad_norm": 0.193359375, + "learning_rate": 0.00012798450392702615, + "loss": 1.0141, + "step": 4085 + }, + { + "epoch": 0.47, + "grad_norm": 0.1767578125, + "learning_rate": 0.00012779214551206746, + "loss": 0.9681, + "step": 4090 + }, + { + "epoch": 0.47, + "grad_norm": 0.1806640625, + "learning_rate": 0.00012759967558860006, + "loss": 0.9053, + "step": 4095 + }, + { + "epoch": 0.47, + "grad_norm": 0.1806640625, + "learning_rate": 0.0001274070949288577, + "loss": 0.951, + "step": 4100 + }, + { + "epoch": 0.47, + "grad_norm": 0.181640625, + "learning_rate": 0.00012721440430551849, + "loss": 0.9198, + "step": 4105 + }, + { + "epoch": 0.47, + "grad_norm": 0.1826171875, + "learning_rate": 0.00012702160449170165, + "loss": 0.9335, + "step": 4110 + }, + { + "epoch": 0.47, + "grad_norm": 0.18359375, + "learning_rate": 0.0001268286962609647, + "loss": 0.9297, + "step": 4115 + }, + { + "epoch": 0.47, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001266356803873, + "loss": 0.99, + "step": 4120 + }, + { + "epoch": 0.47, + "grad_norm": 0.181640625, + "learning_rate": 0.00012644255764513178, + "loss": 0.9614, + "step": 4125 + }, + { + "epoch": 0.47, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001262493288093131, + "loss": 0.96, + "step": 4130 + }, + { + "epoch": 0.47, + "grad_norm": 0.1845703125, + "learning_rate": 0.00012605599465512278, + "loss": 0.9421, + "step": 4135 + }, + { + "epoch": 0.48, + "grad_norm": 0.1787109375, + "learning_rate": 0.000125862555958262, + "loss": 0.9729, + "step": 4140 + }, + { + "epoch": 0.48, + "grad_norm": 0.19140625, + "learning_rate": 0.00012566901349485158, + "loss": 0.9906, + "step": 4145 + }, + { + "epoch": 0.48, + "grad_norm": 0.2158203125, + "learning_rate": 0.00012547536804142858, + "loss": 0.9593, + "step": 4150 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012528162037494332, + "loss": 0.9116, + "step": 4155 + }, + { + "epoch": 0.48, + "grad_norm": 0.1904296875, + "learning_rate": 0.0001250877712727561, + "loss": 0.9287, + "step": 4160 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012489382151263442, + "loss": 0.955, + "step": 4165 + }, + { + "epoch": 0.48, + "grad_norm": 0.1923828125, + "learning_rate": 0.00012469977187274945, + "loss": 0.9838, + "step": 4170 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012450562313167326, + "loss": 0.952, + "step": 4175 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012431137606837538, + "loss": 0.9538, + "step": 4180 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012411703146221993, + "loss": 0.9594, + "step": 4185 + }, + { + "epoch": 0.48, + "grad_norm": 0.1787109375, + "learning_rate": 0.0001239225900929624, + "loss": 0.9902, + "step": 4190 + }, + { + "epoch": 0.48, + "grad_norm": 0.1884765625, + "learning_rate": 0.00012372805274074643, + "loss": 0.9899, + "step": 4195 + }, + { + "epoch": 0.48, + "grad_norm": 0.1748046875, + "learning_rate": 0.00012353342018610084, + "loss": 0.9749, + "step": 4200 + }, + { + "epoch": 0.48, + "grad_norm": 0.1865234375, + "learning_rate": 0.0001233386932099364, + "loss": 0.9629, + "step": 4205 + }, + { + "epoch": 0.48, + "grad_norm": 0.2001953125, + "learning_rate": 0.00012314387259354282, + "loss": 0.9576, + "step": 4210 + }, + { + "epoch": 0.48, + "grad_norm": 0.1796875, + "learning_rate": 0.00012294895911858528, + "loss": 0.9349, + "step": 4215 + }, + { + "epoch": 0.48, + "grad_norm": 0.2421875, + "learning_rate": 0.00012275395356710177, + "loss": 0.9125, + "step": 4220 + }, + { + "epoch": 0.48, + "grad_norm": 0.1923828125, + "learning_rate": 0.00012255885672149953, + "loss": 0.9121, + "step": 4225 + }, + { + "epoch": 0.49, + "grad_norm": 0.1923828125, + "learning_rate": 0.0001223636693645523, + "loss": 0.9513, + "step": 4230 + }, + { + "epoch": 0.49, + "grad_norm": 0.1904296875, + "learning_rate": 0.00012216839227939676, + "loss": 0.9783, + "step": 4235 + }, + { + "epoch": 0.49, + "grad_norm": 0.181640625, + "learning_rate": 0.00012197302624952971, + "loss": 0.9486, + "step": 4240 + }, + { + "epoch": 0.49, + "grad_norm": 0.173828125, + "learning_rate": 0.0001217775720588048, + "loss": 0.9371, + "step": 4245 + }, + { + "epoch": 0.49, + "grad_norm": 0.43359375, + "learning_rate": 0.00012158203049142947, + "loss": 0.9579, + "step": 4250 + }, + { + "epoch": 0.49, + "grad_norm": 0.2119140625, + "learning_rate": 0.00012138640233196152, + "loss": 1.0184, + "step": 4255 + }, + { + "epoch": 0.49, + "grad_norm": 0.1767578125, + "learning_rate": 0.00012119068836530644, + "loss": 0.9227, + "step": 4260 + }, + { + "epoch": 0.49, + "grad_norm": 0.185546875, + "learning_rate": 0.00012099488937671384, + "loss": 0.9478, + "step": 4265 + }, + { + "epoch": 0.49, + "grad_norm": 0.1787109375, + "learning_rate": 0.00012079900615177449, + "loss": 0.9149, + "step": 4270 + }, + { + "epoch": 0.49, + "grad_norm": 0.185546875, + "learning_rate": 0.00012060303947641715, + "loss": 0.9394, + "step": 4275 + }, + { + "epoch": 0.49, + "grad_norm": 0.201171875, + "learning_rate": 0.00012040699013690543, + "loss": 0.9162, + "step": 4280 + }, + { + "epoch": 0.49, + "grad_norm": 0.205078125, + "learning_rate": 0.00012021085891983456, + "loss": 0.9467, + "step": 4285 + }, + { + "epoch": 0.49, + "grad_norm": 0.1845703125, + "learning_rate": 0.00012001464661212827, + "loss": 0.9434, + "step": 4290 + }, + { + "epoch": 0.49, + "grad_norm": 0.1923828125, + "learning_rate": 0.00011981835400103568, + "loss": 0.9312, + "step": 4295 + }, + { + "epoch": 0.49, + "grad_norm": 0.1875, + "learning_rate": 0.0001196219818741281, + "loss": 1.0016, + "step": 4300 + }, + { + "epoch": 0.49, + "grad_norm": 0.1875, + "learning_rate": 0.00011942553101929585, + "loss": 0.9505, + "step": 4305 + }, + { + "epoch": 0.49, + "grad_norm": 0.1845703125, + "learning_rate": 0.00011922900222474523, + "loss": 0.9585, + "step": 4310 + }, + { + "epoch": 0.5, + "grad_norm": 0.1875, + "learning_rate": 0.00011903239627899503, + "loss": 0.9276, + "step": 4315 + }, + { + "epoch": 0.5, + "grad_norm": 0.1826171875, + "learning_rate": 0.00011883571397087387, + "loss": 0.9423, + "step": 4320 + }, + { + "epoch": 0.5, + "grad_norm": 0.181640625, + "learning_rate": 0.00011863895608951654, + "loss": 0.9189, + "step": 4325 + }, + { + "epoch": 0.5, + "grad_norm": 0.17578125, + "learning_rate": 0.00011844212342436112, + "loss": 0.9851, + "step": 4330 + }, + { + "epoch": 0.5, + "grad_norm": 0.17578125, + "learning_rate": 0.0001182452167651457, + "loss": 0.9874, + "step": 4335 + }, + { + "epoch": 0.5, + "grad_norm": 0.189453125, + "learning_rate": 0.00011804823690190538, + "loss": 0.986, + "step": 4340 + }, + { + "epoch": 0.5, + "grad_norm": 0.1943359375, + "learning_rate": 0.0001178511846249688, + "loss": 0.9263, + "step": 4345 + }, + { + "epoch": 0.5, + "grad_norm": 0.1865234375, + "learning_rate": 0.00011765406072495528, + "loss": 0.9252, + "step": 4350 + }, + { + "epoch": 0.5, + "grad_norm": 0.1796875, + "learning_rate": 0.0001174568659927714, + "loss": 0.9696, + "step": 4355 + }, + { + "epoch": 0.5, + "grad_norm": 0.1923828125, + "learning_rate": 0.00011725960121960806, + "loss": 0.9126, + "step": 4360 + }, + { + "epoch": 0.5, + "grad_norm": 0.1708984375, + "learning_rate": 0.00011706226719693698, + "loss": 0.9451, + "step": 4365 + }, + { + "epoch": 0.5, + "grad_norm": 0.19140625, + "learning_rate": 0.00011686486471650798, + "loss": 0.999, + "step": 4370 + }, + { + "epoch": 0.5, + "grad_norm": 0.1884765625, + "learning_rate": 0.00011666739457034532, + "loss": 0.9888, + "step": 4375 + }, + { + "epoch": 0.5, + "grad_norm": 0.2373046875, + "learning_rate": 0.0001164698575507449, + "loss": 0.9613, + "step": 4380 + }, + { + "epoch": 0.5, + "grad_norm": 0.177734375, + "learning_rate": 0.00011627225445027086, + "loss": 0.9938, + "step": 4385 + }, + { + "epoch": 0.5, + "grad_norm": 0.1865234375, + "learning_rate": 0.00011607458606175253, + "loss": 0.9332, + "step": 4390 + }, + { + "epoch": 0.5, + "grad_norm": 0.197265625, + "learning_rate": 0.00011587685317828112, + "loss": 0.9306, + "step": 4395 + }, + { + "epoch": 0.5, + "grad_norm": 0.1884765625, + "learning_rate": 0.00011567905659320663, + "loss": 0.9353, + "step": 4400 + }, + { + "epoch": 0.51, + "grad_norm": 0.189453125, + "learning_rate": 0.0001154811971001347, + "loss": 0.9365, + "step": 4405 + }, + { + "epoch": 0.51, + "grad_norm": 0.177734375, + "learning_rate": 0.00011528327549292326, + "loss": 0.968, + "step": 4410 + }, + { + "epoch": 0.51, + "grad_norm": 0.173828125, + "learning_rate": 0.00011508529256567961, + "loss": 0.9369, + "step": 4415 + }, + { + "epoch": 0.51, + "grad_norm": 0.1884765625, + "learning_rate": 0.00011488724911275694, + "loss": 0.978, + "step": 4420 + }, + { + "epoch": 0.51, + "grad_norm": 0.1904296875, + "learning_rate": 0.00011468914592875135, + "loss": 0.9493, + "step": 4425 + }, + { + "epoch": 0.51, + "grad_norm": 0.181640625, + "learning_rate": 0.00011449098380849858, + "loss": 0.9679, + "step": 4430 + }, + { + "epoch": 0.51, + "grad_norm": 0.1875, + "learning_rate": 0.00011429276354707086, + "loss": 0.9584, + "step": 4435 + }, + { + "epoch": 0.51, + "grad_norm": 0.1875, + "learning_rate": 0.00011409448593977363, + "loss": 0.9717, + "step": 4440 + }, + { + "epoch": 0.51, + "grad_norm": 0.1982421875, + "learning_rate": 0.00011389615178214253, + "loss": 0.9412, + "step": 4445 + }, + { + "epoch": 0.51, + "grad_norm": 0.181640625, + "learning_rate": 0.00011369776186993994, + "loss": 0.9613, + "step": 4450 + }, + { + "epoch": 0.51, + "grad_norm": 0.189453125, + "learning_rate": 0.00011349931699915209, + "loss": 1.009, + "step": 4455 + }, + { + "epoch": 0.51, + "grad_norm": 0.19921875, + "learning_rate": 0.0001133008179659856, + "loss": 0.9168, + "step": 4460 + }, + { + "epoch": 0.51, + "grad_norm": 0.1845703125, + "learning_rate": 0.0001131022655668645, + "loss": 0.9805, + "step": 4465 + }, + { + "epoch": 0.51, + "grad_norm": 0.19921875, + "learning_rate": 0.00011290366059842683, + "loss": 0.9751, + "step": 4470 + }, + { + "epoch": 0.51, + "grad_norm": 0.18359375, + "learning_rate": 0.00011270500385752167, + "loss": 0.9511, + "step": 4475 + }, + { + "epoch": 0.51, + "grad_norm": 0.2041015625, + "learning_rate": 0.00011250629614120571, + "loss": 0.9661, + "step": 4480 + }, + { + "epoch": 0.51, + "grad_norm": 0.1875, + "learning_rate": 0.00011230753824674025, + "loss": 0.94, + "step": 4485 + }, + { + "epoch": 0.52, + "grad_norm": 0.177734375, + "learning_rate": 0.00011210873097158786, + "loss": 0.9012, + "step": 4490 + }, + { + "epoch": 0.52, + "grad_norm": 0.1904296875, + "learning_rate": 0.00011190987511340928, + "loss": 0.9374, + "step": 4495 + }, + { + "epoch": 0.52, + "grad_norm": 0.1904296875, + "learning_rate": 0.00011171097147006013, + "loss": 0.9617, + "step": 4500 + }, + { + "epoch": 0.52, + "grad_norm": 0.181640625, + "learning_rate": 0.0001115120208395878, + "loss": 1.0004, + "step": 4505 + }, + { + "epoch": 0.52, + "grad_norm": 0.1865234375, + "learning_rate": 0.00011131302402022821, + "loss": 0.9257, + "step": 4510 + }, + { + "epoch": 0.52, + "grad_norm": 0.1904296875, + "learning_rate": 0.00011111398181040251, + "loss": 0.9265, + "step": 4515 + }, + { + "epoch": 0.52, + "grad_norm": 0.1767578125, + "learning_rate": 0.00011091489500871408, + "loss": 0.9412, + "step": 4520 + }, + { + "epoch": 0.52, + "grad_norm": 0.177734375, + "learning_rate": 0.00011071576441394516, + "loss": 0.9631, + "step": 4525 + }, + { + "epoch": 0.52, + "grad_norm": 0.189453125, + "learning_rate": 0.00011051659082505366, + "loss": 0.9245, + "step": 4530 + }, + { + "epoch": 0.52, + "grad_norm": 0.181640625, + "learning_rate": 0.0001103173750411701, + "loss": 0.9441, + "step": 4535 + }, + { + "epoch": 0.52, + "grad_norm": 0.1875, + "learning_rate": 0.00011011811786159416, + "loss": 0.992, + "step": 4540 + }, + { + "epoch": 0.52, + "grad_norm": 0.1884765625, + "learning_rate": 0.00010991882008579177, + "loss": 0.9648, + "step": 4545 + }, + { + "epoch": 0.52, + "grad_norm": 0.1796875, + "learning_rate": 0.00010971948251339157, + "loss": 0.9309, + "step": 4550 + }, + { + "epoch": 0.52, + "grad_norm": 0.1962890625, + "learning_rate": 0.00010952010594418201, + "loss": 0.9653, + "step": 4555 + }, + { + "epoch": 0.52, + "grad_norm": 0.1982421875, + "learning_rate": 0.00010932069117810787, + "loss": 0.9478, + "step": 4560 + }, + { + "epoch": 0.52, + "grad_norm": 0.18359375, + "learning_rate": 0.00010912123901526736, + "loss": 0.9484, + "step": 4565 + }, + { + "epoch": 0.52, + "grad_norm": 0.1923828125, + "learning_rate": 0.00010892175025590856, + "loss": 0.9292, + "step": 4570 + }, + { + "epoch": 0.52, + "grad_norm": 0.1826171875, + "learning_rate": 0.00010872222570042652, + "loss": 0.9283, + "step": 4575 + }, + { + "epoch": 0.53, + "grad_norm": 0.17578125, + "learning_rate": 0.00010852266614935982, + "loss": 0.9676, + "step": 4580 + }, + { + "epoch": 0.53, + "grad_norm": 0.1953125, + "learning_rate": 0.00010832307240338752, + "loss": 0.9498, + "step": 4585 + }, + { + "epoch": 0.53, + "grad_norm": 0.1884765625, + "learning_rate": 0.00010812344526332578, + "loss": 0.9799, + "step": 4590 + }, + { + "epoch": 0.53, + "grad_norm": 0.1826171875, + "learning_rate": 0.00010792378553012488, + "loss": 0.9604, + "step": 4595 + }, + { + "epoch": 0.53, + "grad_norm": 0.2236328125, + "learning_rate": 0.00010772409400486571, + "loss": 0.9349, + "step": 4600 + }, + { + "epoch": 0.53, + "grad_norm": 0.3125, + "learning_rate": 0.0001075243714887569, + "loss": 0.929, + "step": 4605 + }, + { + "epoch": 0.53, + "grad_norm": 0.18359375, + "learning_rate": 0.00010732461878313125, + "loss": 0.9429, + "step": 4610 + }, + { + "epoch": 0.53, + "grad_norm": 0.1865234375, + "learning_rate": 0.0001071248366894428, + "loss": 0.8954, + "step": 4615 + }, + { + "epoch": 0.53, + "grad_norm": 0.1865234375, + "learning_rate": 0.00010692502600926348, + "loss": 0.9028, + "step": 4620 + }, + { + "epoch": 0.53, + "grad_norm": 0.18359375, + "learning_rate": 0.00010672518754427988, + "loss": 0.9128, + "step": 4625 + }, + { + "epoch": 0.53, + "grad_norm": 0.1796875, + "learning_rate": 0.00010652532209629011, + "loss": 0.9641, + "step": 4630 + }, + { + "epoch": 0.53, + "grad_norm": 0.18359375, + "learning_rate": 0.0001063254304672005, + "loss": 0.9866, + "step": 4635 + }, + { + "epoch": 0.53, + "grad_norm": 0.2099609375, + "learning_rate": 0.00010612551345902244, + "loss": 1.0028, + "step": 4640 + }, + { + "epoch": 0.53, + "grad_norm": 0.1875, + "learning_rate": 0.0001059255718738692, + "loss": 0.9608, + "step": 4645 + }, + { + "epoch": 0.53, + "grad_norm": 0.1845703125, + "learning_rate": 0.00010572560651395258, + "loss": 0.9699, + "step": 4650 + }, + { + "epoch": 0.53, + "grad_norm": 0.19140625, + "learning_rate": 0.0001055256181815798, + "loss": 0.948, + "step": 4655 + }, + { + "epoch": 0.53, + "grad_norm": 0.185546875, + "learning_rate": 0.0001053256076791503, + "loss": 0.9667, + "step": 4660 + }, + { + "epoch": 0.54, + "grad_norm": 0.1865234375, + "learning_rate": 0.00010512557580915235, + "loss": 0.917, + "step": 4665 + }, + { + "epoch": 0.54, + "grad_norm": 0.1943359375, + "learning_rate": 0.00010492552337416007, + "loss": 0.9426, + "step": 4670 + }, + { + "epoch": 0.54, + "grad_norm": 0.1826171875, + "learning_rate": 0.00010472545117683004, + "loss": 0.9653, + "step": 4675 + }, + { + "epoch": 0.54, + "grad_norm": 0.1953125, + "learning_rate": 0.00010452536001989815, + "loss": 0.9518, + "step": 4680 + }, + { + "epoch": 0.54, + "grad_norm": 0.18359375, + "learning_rate": 0.00010432525070617633, + "loss": 0.9645, + "step": 4685 + }, + { + "epoch": 0.54, + "grad_norm": 0.18359375, + "learning_rate": 0.00010412512403854942, + "loss": 0.9644, + "step": 4690 + }, + { + "epoch": 0.54, + "grad_norm": 0.17578125, + "learning_rate": 0.00010392498081997182, + "loss": 0.9523, + "step": 4695 + }, + { + "epoch": 0.54, + "grad_norm": 0.1787109375, + "learning_rate": 0.00010372482185346435, + "loss": 0.9408, + "step": 4700 + }, + { + "epoch": 0.54, + "grad_norm": 0.193359375, + "learning_rate": 0.00010352464794211104, + "loss": 0.9521, + "step": 4705 + }, + { + "epoch": 0.54, + "grad_norm": 0.19140625, + "learning_rate": 0.00010332445988905586, + "loss": 0.9245, + "step": 4710 + }, + { + "epoch": 0.54, + "grad_norm": 0.185546875, + "learning_rate": 0.00010312425849749951, + "loss": 0.9627, + "step": 4715 + }, + { + "epoch": 0.54, + "grad_norm": 0.1953125, + "learning_rate": 0.00010292404457069631, + "loss": 0.9672, + "step": 4720 + }, + { + "epoch": 0.54, + "grad_norm": 0.189453125, + "learning_rate": 0.00010272381891195071, + "loss": 0.9933, + "step": 4725 + }, + { + "epoch": 0.54, + "grad_norm": 0.1904296875, + "learning_rate": 0.00010252358232461436, + "loss": 0.9642, + "step": 4730 + }, + { + "epoch": 0.54, + "grad_norm": 0.17578125, + "learning_rate": 0.00010232333561208264, + "loss": 0.9775, + "step": 4735 + }, + { + "epoch": 0.54, + "grad_norm": 0.1748046875, + "learning_rate": 0.00010212307957779173, + "loss": 0.9309, + "step": 4740 + }, + { + "epoch": 0.54, + "grad_norm": 0.1796875, + "learning_rate": 0.00010192281502521499, + "loss": 0.9637, + "step": 4745 + }, + { + "epoch": 0.55, + "grad_norm": 0.1728515625, + "learning_rate": 0.00010172254275786017, + "loss": 0.9439, + "step": 4750 + }, + { + "epoch": 0.55, + "grad_norm": 0.1923828125, + "learning_rate": 0.00010152226357926582, + "loss": 0.9763, + "step": 4755 + }, + { + "epoch": 0.55, + "grad_norm": 0.1826171875, + "learning_rate": 0.0001013219782929983, + "loss": 0.9333, + "step": 4760 + }, + { + "epoch": 0.55, + "grad_norm": 0.181640625, + "learning_rate": 0.00010112168770264843, + "loss": 0.9137, + "step": 4765 + }, + { + "epoch": 0.55, + "grad_norm": 0.1796875, + "learning_rate": 0.0001009213926118284, + "loss": 0.9108, + "step": 4770 + }, + { + "epoch": 0.55, + "grad_norm": 0.3515625, + "learning_rate": 0.00010072109382416828, + "loss": 0.9475, + "step": 4775 + }, + { + "epoch": 0.55, + "grad_norm": 0.1796875, + "learning_rate": 0.00010052079214331318, + "loss": 0.9641, + "step": 4780 + }, + { + "epoch": 0.55, + "grad_norm": 0.1904296875, + "learning_rate": 0.00010032048837291963, + "loss": 0.9474, + "step": 4785 + }, + { + "epoch": 0.55, + "grad_norm": 0.19921875, + "learning_rate": 0.00010012018331665272, + "loss": 0.9768, + "step": 4790 + }, + { + "epoch": 0.55, + "grad_norm": 0.1845703125, + "learning_rate": 9.991987777818258e-05, + "loss": 0.9267, + "step": 4795 + }, + { + "epoch": 0.55, + "grad_norm": 0.1962890625, + "learning_rate": 9.971957256118129e-05, + "loss": 0.9629, + "step": 4800 + }, + { + "epoch": 0.55, + "grad_norm": 0.1953125, + "learning_rate": 9.951926846931969e-05, + "loss": 0.9381, + "step": 4805 + }, + { + "epoch": 0.55, + "grad_norm": 0.1875, + "learning_rate": 9.931896630626402e-05, + "loss": 0.9326, + "step": 4810 + }, + { + "epoch": 0.55, + "grad_norm": 0.1865234375, + "learning_rate": 9.911866687567291e-05, + "loss": 0.905, + "step": 4815 + }, + { + "epoch": 0.55, + "grad_norm": 0.197265625, + "learning_rate": 9.891837098119389e-05, + "loss": 1.0023, + "step": 4820 + }, + { + "epoch": 0.55, + "grad_norm": 0.1845703125, + "learning_rate": 9.87180794264604e-05, + "loss": 0.9583, + "step": 4825 + }, + { + "epoch": 0.55, + "grad_norm": 0.1796875, + "learning_rate": 9.851779301508842e-05, + "loss": 0.9945, + "step": 4830 + }, + { + "epoch": 0.55, + "grad_norm": 0.1845703125, + "learning_rate": 9.831751255067329e-05, + "loss": 0.9292, + "step": 4835 + }, + { + "epoch": 0.56, + "grad_norm": 0.181640625, + "learning_rate": 9.811723883678654e-05, + "loss": 1.0147, + "step": 4840 + }, + { + "epoch": 0.56, + "grad_norm": 0.1962890625, + "learning_rate": 9.791697267697255e-05, + "loss": 0.9691, + "step": 4845 + }, + { + "epoch": 0.56, + "grad_norm": 0.185546875, + "learning_rate": 9.771671487474546e-05, + "loss": 0.9563, + "step": 4850 + }, + { + "epoch": 0.56, + "grad_norm": 0.1845703125, + "learning_rate": 9.751646623358576e-05, + "loss": 0.9499, + "step": 4855 + }, + { + "epoch": 0.56, + "grad_norm": 0.1826171875, + "learning_rate": 9.731622755693737e-05, + "loss": 0.9847, + "step": 4860 + }, + { + "epoch": 0.56, + "grad_norm": 0.1845703125, + "learning_rate": 9.711599964820405e-05, + "loss": 0.9937, + "step": 4865 + }, + { + "epoch": 0.56, + "grad_norm": 0.17578125, + "learning_rate": 9.691578331074643e-05, + "loss": 0.9582, + "step": 4870 + }, + { + "epoch": 0.56, + "grad_norm": 0.1865234375, + "learning_rate": 9.671557934787874e-05, + "loss": 0.9172, + "step": 4875 + }, + { + "epoch": 0.56, + "grad_norm": 0.1962890625, + "learning_rate": 9.651538856286551e-05, + "loss": 0.9437, + "step": 4880 + }, + { + "epoch": 0.56, + "grad_norm": 0.1865234375, + "learning_rate": 9.631521175891844e-05, + "loss": 0.9188, + "step": 4885 + }, + { + "epoch": 0.56, + "grad_norm": 0.181640625, + "learning_rate": 9.611504973919311e-05, + "loss": 0.9397, + "step": 4890 + }, + { + "epoch": 0.56, + "grad_norm": 0.19140625, + "learning_rate": 9.591490330678579e-05, + "loss": 1.0114, + "step": 4895 + }, + { + "epoch": 0.56, + "grad_norm": 0.18359375, + "learning_rate": 9.571477326473021e-05, + "loss": 0.9385, + "step": 4900 + }, + { + "epoch": 0.56, + "grad_norm": 0.1875, + "learning_rate": 9.551466041599432e-05, + "loss": 0.9427, + "step": 4905 + }, + { + "epoch": 0.56, + "grad_norm": 0.1884765625, + "learning_rate": 9.531456556347712e-05, + "loss": 0.9701, + "step": 4910 + }, + { + "epoch": 0.56, + "grad_norm": 0.1884765625, + "learning_rate": 9.511448951000535e-05, + "loss": 0.9269, + "step": 4915 + }, + { + "epoch": 0.56, + "grad_norm": 0.2001953125, + "learning_rate": 9.491443305833043e-05, + "loss": 1.0192, + "step": 4920 + }, + { + "epoch": 0.57, + "grad_norm": 0.1875, + "learning_rate": 9.4714397011125e-05, + "loss": 0.9431, + "step": 4925 + }, + { + "epoch": 0.57, + "grad_norm": 0.18359375, + "learning_rate": 9.451438217097994e-05, + "loss": 0.9808, + "step": 4930 + }, + { + "epoch": 0.57, + "grad_norm": 0.1796875, + "learning_rate": 9.4314389340401e-05, + "loss": 0.9503, + "step": 4935 + }, + { + "epoch": 0.57, + "grad_norm": 0.1806640625, + "learning_rate": 9.411441932180554e-05, + "loss": 0.9156, + "step": 4940 + }, + { + "epoch": 0.57, + "grad_norm": 0.189453125, + "learning_rate": 9.391447291751961e-05, + "loss": 0.9239, + "step": 4945 + }, + { + "epoch": 0.57, + "grad_norm": 0.1787109375, + "learning_rate": 9.371455092977423e-05, + "loss": 0.8946, + "step": 4950 + }, + { + "epoch": 0.57, + "grad_norm": 0.1875, + "learning_rate": 9.351465416070274e-05, + "loss": 0.9369, + "step": 4955 + }, + { + "epoch": 0.57, + "grad_norm": 0.1884765625, + "learning_rate": 9.331478341233706e-05, + "loss": 0.9686, + "step": 4960 + }, + { + "epoch": 0.57, + "grad_norm": 0.1845703125, + "learning_rate": 9.311493948660488e-05, + "loss": 0.955, + "step": 4965 + }, + { + "epoch": 0.57, + "grad_norm": 0.1796875, + "learning_rate": 9.291512318532614e-05, + "loss": 0.9624, + "step": 4970 + }, + { + "epoch": 0.57, + "grad_norm": 0.189453125, + "learning_rate": 9.271533531021005e-05, + "loss": 0.9807, + "step": 4975 + }, + { + "epoch": 0.57, + "grad_norm": 0.1884765625, + "learning_rate": 9.251557666285174e-05, + "loss": 0.9558, + "step": 4980 + }, + { + "epoch": 0.57, + "grad_norm": 0.18359375, + "learning_rate": 9.231584804472898e-05, + "loss": 0.879, + "step": 4985 + }, + { + "epoch": 0.57, + "grad_norm": 0.189453125, + "learning_rate": 9.211615025719919e-05, + "loss": 0.9336, + "step": 4990 + }, + { + "epoch": 0.57, + "grad_norm": 0.185546875, + "learning_rate": 9.1916484101496e-05, + "loss": 0.9256, + "step": 4995 + }, + { + "epoch": 0.57, + "grad_norm": 0.1806640625, + "learning_rate": 9.17168503787262e-05, + "loss": 0.9757, + "step": 5000 + }, + { + "epoch": 0.57, + "grad_norm": 0.1943359375, + "learning_rate": 9.151724988986635e-05, + "loss": 0.9466, + "step": 5005 + }, + { + "epoch": 0.57, + "grad_norm": 0.1806640625, + "learning_rate": 9.131768343575979e-05, + "loss": 0.9148, + "step": 5010 + }, + { + "epoch": 0.58, + "grad_norm": 0.1826171875, + "learning_rate": 9.11181518171132e-05, + "loss": 1.008, + "step": 5015 + }, + { + "epoch": 0.58, + "grad_norm": 0.1748046875, + "learning_rate": 9.091865583449351e-05, + "loss": 0.8901, + "step": 5020 + }, + { + "epoch": 0.58, + "grad_norm": 0.1806640625, + "learning_rate": 9.071919628832476e-05, + "loss": 0.9584, + "step": 5025 + }, + { + "epoch": 0.58, + "grad_norm": 0.1748046875, + "learning_rate": 9.051977397888464e-05, + "loss": 0.9067, + "step": 5030 + }, + { + "epoch": 0.58, + "grad_norm": 0.18359375, + "learning_rate": 9.032038970630163e-05, + "loss": 1.0218, + "step": 5035 + }, + { + "epoch": 0.58, + "grad_norm": 0.189453125, + "learning_rate": 9.01210442705514e-05, + "loss": 0.9347, + "step": 5040 + }, + { + "epoch": 0.58, + "grad_norm": 0.193359375, + "learning_rate": 8.992173847145401e-05, + "loss": 0.9076, + "step": 5045 + }, + { + "epoch": 0.58, + "grad_norm": 0.1865234375, + "learning_rate": 8.972247310867027e-05, + "loss": 0.9324, + "step": 5050 + }, + { + "epoch": 0.58, + "grad_norm": 0.177734375, + "learning_rate": 8.952324898169888e-05, + "loss": 0.9548, + "step": 5055 + }, + { + "epoch": 0.58, + "grad_norm": 0.1923828125, + "learning_rate": 8.932406688987309e-05, + "loss": 0.9436, + "step": 5060 + }, + { + "epoch": 0.58, + "grad_norm": 0.1845703125, + "learning_rate": 8.912492763235744e-05, + "loss": 0.981, + "step": 5065 + }, + { + "epoch": 0.58, + "grad_norm": 0.189453125, + "learning_rate": 8.892583200814466e-05, + "loss": 0.9681, + "step": 5070 + }, + { + "epoch": 0.58, + "grad_norm": 0.2080078125, + "learning_rate": 8.872678081605236e-05, + "loss": 0.9521, + "step": 5075 + }, + { + "epoch": 0.58, + "grad_norm": 0.1884765625, + "learning_rate": 8.852777485471997e-05, + "loss": 0.9332, + "step": 5080 + }, + { + "epoch": 0.58, + "grad_norm": 0.185546875, + "learning_rate": 8.832881492260535e-05, + "loss": 0.9508, + "step": 5085 + }, + { + "epoch": 0.58, + "grad_norm": 0.208984375, + "learning_rate": 8.81299018179817e-05, + "loss": 0.9635, + "step": 5090 + }, + { + "epoch": 0.58, + "grad_norm": 0.18359375, + "learning_rate": 8.793103633893437e-05, + "loss": 0.9189, + "step": 5095 + }, + { + "epoch": 0.59, + "grad_norm": 0.173828125, + "learning_rate": 8.773221928335759e-05, + "loss": 0.9554, + "step": 5100 + }, + { + "epoch": 0.59, + "grad_norm": 0.1806640625, + "learning_rate": 8.753345144895136e-05, + "loss": 0.9469, + "step": 5105 + }, + { + "epoch": 0.59, + "grad_norm": 0.185546875, + "learning_rate": 8.73347336332181e-05, + "loss": 0.962, + "step": 5110 + }, + { + "epoch": 0.59, + "grad_norm": 0.201171875, + "learning_rate": 8.713606663345968e-05, + "loss": 1.0239, + "step": 5115 + }, + { + "epoch": 0.59, + "grad_norm": 0.1845703125, + "learning_rate": 8.693745124677386e-05, + "loss": 0.9611, + "step": 5120 + }, + { + "epoch": 0.59, + "grad_norm": 0.197265625, + "learning_rate": 8.673888827005164e-05, + "loss": 0.919, + "step": 5125 + }, + { + "epoch": 0.59, + "grad_norm": 0.1953125, + "learning_rate": 8.654037849997342e-05, + "loss": 0.9146, + "step": 5130 + }, + { + "epoch": 0.59, + "grad_norm": 0.181640625, + "learning_rate": 8.634192273300629e-05, + "loss": 0.9725, + "step": 5135 + }, + { + "epoch": 0.59, + "grad_norm": 0.185546875, + "learning_rate": 8.614352176540067e-05, + "loss": 0.923, + "step": 5140 + }, + { + "epoch": 0.59, + "grad_norm": 0.18359375, + "learning_rate": 8.594517639318705e-05, + "loss": 0.9446, + "step": 5145 + }, + { + "epoch": 0.59, + "grad_norm": 0.185546875, + "learning_rate": 8.57468874121729e-05, + "loss": 0.9708, + "step": 5150 + }, + { + "epoch": 0.59, + "grad_norm": 0.1845703125, + "learning_rate": 8.554865561793942e-05, + "loss": 0.994, + "step": 5155 + }, + { + "epoch": 0.59, + "grad_norm": 0.1826171875, + "learning_rate": 8.535048180583838e-05, + "loss": 0.9119, + "step": 5160 + }, + { + "epoch": 0.59, + "grad_norm": 0.1923828125, + "learning_rate": 8.515236677098889e-05, + "loss": 0.9196, + "step": 5165 + }, + { + "epoch": 0.59, + "grad_norm": 0.193359375, + "learning_rate": 8.495431130827422e-05, + "loss": 0.9464, + "step": 5170 + }, + { + "epoch": 0.59, + "grad_norm": 0.1904296875, + "learning_rate": 8.475631621233869e-05, + "loss": 0.9656, + "step": 5175 + }, + { + "epoch": 0.59, + "grad_norm": 0.1845703125, + "learning_rate": 8.455838227758432e-05, + "loss": 0.9434, + "step": 5180 + }, + { + "epoch": 0.59, + "grad_norm": 0.185546875, + "learning_rate": 8.436051029816783e-05, + "loss": 1.0145, + "step": 5185 + }, + { + "epoch": 0.6, + "grad_norm": 0.1904296875, + "learning_rate": 8.416270106799726e-05, + "loss": 0.9732, + "step": 5190 + }, + { + "epoch": 0.6, + "grad_norm": 0.171875, + "learning_rate": 8.396495538072902e-05, + "loss": 0.96, + "step": 5195 + }, + { + "epoch": 0.6, + "grad_norm": 0.197265625, + "learning_rate": 8.376727402976447e-05, + "loss": 0.9475, + "step": 5200 + }, + { + "epoch": 0.6, + "grad_norm": 0.189453125, + "learning_rate": 8.356965780824677e-05, + "loss": 0.9615, + "step": 5205 + }, + { + "epoch": 0.6, + "grad_norm": 0.1875, + "learning_rate": 8.3372107509058e-05, + "loss": 0.9265, + "step": 5210 + }, + { + "epoch": 0.6, + "grad_norm": 0.177734375, + "learning_rate": 8.317462392481546e-05, + "loss": 0.9579, + "step": 5215 + }, + { + "epoch": 0.6, + "grad_norm": 0.177734375, + "learning_rate": 8.297720784786906e-05, + "loss": 0.9899, + "step": 5220 + }, + { + "epoch": 0.6, + "grad_norm": 0.1884765625, + "learning_rate": 8.277986007029756e-05, + "loss": 0.9242, + "step": 5225 + }, + { + "epoch": 0.6, + "grad_norm": 0.1826171875, + "learning_rate": 8.2582581383906e-05, + "loss": 0.9504, + "step": 5230 + }, + { + "epoch": 0.6, + "grad_norm": 0.189453125, + "learning_rate": 8.238537258022194e-05, + "loss": 0.9578, + "step": 5235 + }, + { + "epoch": 0.6, + "grad_norm": 0.1826171875, + "learning_rate": 8.218823445049265e-05, + "loss": 0.9664, + "step": 5240 + }, + { + "epoch": 0.6, + "grad_norm": 0.18359375, + "learning_rate": 8.199116778568192e-05, + "loss": 0.9685, + "step": 5245 + }, + { + "epoch": 0.6, + "grad_norm": 0.2001953125, + "learning_rate": 8.179417337646669e-05, + "loss": 0.9711, + "step": 5250 + }, + { + "epoch": 0.6, + "grad_norm": 0.19140625, + "learning_rate": 8.159725201323408e-05, + "loss": 0.9146, + "step": 5255 + }, + { + "epoch": 0.6, + "grad_norm": 0.1884765625, + "learning_rate": 8.140040448607804e-05, + "loss": 0.9694, + "step": 5260 + }, + { + "epoch": 0.6, + "grad_norm": 0.1962890625, + "learning_rate": 8.12036315847964e-05, + "loss": 0.9633, + "step": 5265 + }, + { + "epoch": 0.6, + "grad_norm": 0.18359375, + "learning_rate": 8.100693409888748e-05, + "loss": 0.9796, + "step": 5270 + }, + { + "epoch": 0.61, + "grad_norm": 0.2138671875, + "learning_rate": 8.081031281754695e-05, + "loss": 0.9705, + "step": 5275 + }, + { + "epoch": 0.61, + "grad_norm": 0.185546875, + "learning_rate": 8.061376852966495e-05, + "loss": 0.9391, + "step": 5280 + }, + { + "epoch": 0.61, + "grad_norm": 0.1796875, + "learning_rate": 8.041730202382245e-05, + "loss": 0.8999, + "step": 5285 + }, + { + "epoch": 0.61, + "grad_norm": 0.185546875, + "learning_rate": 8.02209140882886e-05, + "loss": 0.8907, + "step": 5290 + }, + { + "epoch": 0.61, + "grad_norm": 0.1796875, + "learning_rate": 8.002460551101702e-05, + "loss": 0.9771, + "step": 5295 + }, + { + "epoch": 0.61, + "grad_norm": 0.1982421875, + "learning_rate": 7.982837707964321e-05, + "loss": 0.9144, + "step": 5300 + }, + { + "epoch": 0.61, + "grad_norm": 0.19140625, + "learning_rate": 7.963222958148085e-05, + "loss": 0.9878, + "step": 5305 + }, + { + "epoch": 0.61, + "grad_norm": 0.18359375, + "learning_rate": 7.943616380351913e-05, + "loss": 1.0033, + "step": 5310 + }, + { + "epoch": 0.61, + "grad_norm": 0.1787109375, + "learning_rate": 7.92401805324192e-05, + "loss": 0.9517, + "step": 5315 + }, + { + "epoch": 0.61, + "grad_norm": 0.185546875, + "learning_rate": 7.904428055451118e-05, + "loss": 1.0219, + "step": 5320 + }, + { + "epoch": 0.61, + "grad_norm": 0.1865234375, + "learning_rate": 7.884846465579113e-05, + "loss": 0.9133, + "step": 5325 + }, + { + "epoch": 0.61, + "grad_norm": 0.1943359375, + "learning_rate": 7.865273362191759e-05, + "loss": 0.9543, + "step": 5330 + }, + { + "epoch": 0.61, + "grad_norm": 0.1865234375, + "learning_rate": 7.845708823820876e-05, + "loss": 0.9329, + "step": 5335 + }, + { + "epoch": 0.61, + "grad_norm": 0.1875, + "learning_rate": 7.826152928963904e-05, + "loss": 0.9753, + "step": 5340 + }, + { + "epoch": 0.61, + "grad_norm": 0.181640625, + "learning_rate": 7.806605756083622e-05, + "loss": 0.9324, + "step": 5345 + }, + { + "epoch": 0.61, + "grad_norm": 0.1865234375, + "learning_rate": 7.787067383607796e-05, + "loss": 1.0059, + "step": 5350 + }, + { + "epoch": 0.61, + "grad_norm": 0.177734375, + "learning_rate": 7.767537889928889e-05, + "loss": 0.939, + "step": 5355 + }, + { + "epoch": 0.62, + "grad_norm": 0.1962890625, + "learning_rate": 7.748017353403748e-05, + "loss": 0.9298, + "step": 5360 + }, + { + "epoch": 0.62, + "grad_norm": 0.1826171875, + "learning_rate": 7.72850585235327e-05, + "loss": 1.0243, + "step": 5365 + }, + { + "epoch": 0.62, + "grad_norm": 0.1806640625, + "learning_rate": 7.70900346506211e-05, + "loss": 0.9523, + "step": 5370 + }, + { + "epoch": 0.62, + "grad_norm": 0.201171875, + "learning_rate": 7.689510269778347e-05, + "loss": 0.9428, + "step": 5375 + }, + { + "epoch": 0.62, + "grad_norm": 0.1875, + "learning_rate": 7.670026344713189e-05, + "loss": 0.9624, + "step": 5380 + }, + { + "epoch": 0.62, + "grad_norm": 0.1826171875, + "learning_rate": 7.650551768040641e-05, + "loss": 0.9296, + "step": 5385 + }, + { + "epoch": 0.62, + "grad_norm": 0.18359375, + "learning_rate": 7.631086617897203e-05, + "loss": 0.9786, + "step": 5390 + }, + { + "epoch": 0.62, + "grad_norm": 0.185546875, + "learning_rate": 7.611630972381557e-05, + "loss": 0.9551, + "step": 5395 + }, + { + "epoch": 0.62, + "grad_norm": 0.193359375, + "learning_rate": 7.592184909554245e-05, + "loss": 0.9591, + "step": 5400 + }, + { + "epoch": 0.62, + "grad_norm": 0.1875, + "learning_rate": 7.572748507437368e-05, + "loss": 0.9729, + "step": 5405 + }, + { + "epoch": 0.62, + "grad_norm": 0.1865234375, + "learning_rate": 7.553321844014258e-05, + "loss": 0.9482, + "step": 5410 + }, + { + "epoch": 0.62, + "grad_norm": 0.1923828125, + "learning_rate": 7.533904997229183e-05, + "loss": 0.9894, + "step": 5415 + }, + { + "epoch": 0.62, + "grad_norm": 0.18359375, + "learning_rate": 7.514498044987009e-05, + "loss": 0.9682, + "step": 5420 + }, + { + "epoch": 0.62, + "grad_norm": 0.18359375, + "learning_rate": 7.495101065152917e-05, + "loss": 0.9402, + "step": 5425 + }, + { + "epoch": 0.62, + "grad_norm": 0.1826171875, + "learning_rate": 7.475714135552074e-05, + "loss": 0.9921, + "step": 5430 + }, + { + "epoch": 0.62, + "grad_norm": 0.1845703125, + "learning_rate": 7.456337333969316e-05, + "loss": 0.9541, + "step": 5435 + }, + { + "epoch": 0.62, + "grad_norm": 0.224609375, + "learning_rate": 7.43697073814885e-05, + "loss": 0.9567, + "step": 5440 + }, + { + "epoch": 0.62, + "grad_norm": 0.2021484375, + "learning_rate": 7.417614425793932e-05, + "loss": 0.9909, + "step": 5445 + }, + { + "epoch": 0.63, + "grad_norm": 0.201171875, + "learning_rate": 7.39826847456656e-05, + "loss": 1.007, + "step": 5450 + }, + { + "epoch": 0.63, + "grad_norm": 0.1943359375, + "learning_rate": 7.37893296208716e-05, + "loss": 0.9779, + "step": 5455 + }, + { + "epoch": 0.63, + "grad_norm": 0.1796875, + "learning_rate": 7.359607965934274e-05, + "loss": 0.9178, + "step": 5460 + }, + { + "epoch": 0.63, + "grad_norm": 0.20703125, + "learning_rate": 7.340293563644256e-05, + "loss": 0.9477, + "step": 5465 + }, + { + "epoch": 0.63, + "grad_norm": 0.22265625, + "learning_rate": 7.32098983271094e-05, + "loss": 0.9965, + "step": 5470 + }, + { + "epoch": 0.63, + "grad_norm": 0.1904296875, + "learning_rate": 7.301696850585366e-05, + "loss": 0.9738, + "step": 5475 + }, + { + "epoch": 0.63, + "grad_norm": 0.181640625, + "learning_rate": 7.282414694675426e-05, + "loss": 0.9809, + "step": 5480 + }, + { + "epoch": 0.63, + "grad_norm": 0.1865234375, + "learning_rate": 7.263143442345592e-05, + "loss": 0.9294, + "step": 5485 + }, + { + "epoch": 0.63, + "grad_norm": 0.1845703125, + "learning_rate": 7.243883170916574e-05, + "loss": 0.9068, + "step": 5490 + }, + { + "epoch": 0.63, + "grad_norm": 0.1884765625, + "learning_rate": 7.22463395766504e-05, + "loss": 0.9642, + "step": 5495 + }, + { + "epoch": 0.63, + "grad_norm": 0.185546875, + "learning_rate": 7.205395879823271e-05, + "loss": 0.9434, + "step": 5500 + }, + { + "epoch": 0.63, + "grad_norm": 0.18359375, + "learning_rate": 7.186169014578883e-05, + "loss": 0.9572, + "step": 5505 + }, + { + "epoch": 0.63, + "grad_norm": 0.1865234375, + "learning_rate": 7.166953439074504e-05, + "loss": 0.9084, + "step": 5510 + }, + { + "epoch": 0.63, + "grad_norm": 0.1884765625, + "learning_rate": 7.14774923040746e-05, + "loss": 0.9545, + "step": 5515 + }, + { + "epoch": 0.63, + "grad_norm": 0.1826171875, + "learning_rate": 7.128556465629475e-05, + "loss": 0.9395, + "step": 5520 + }, + { + "epoch": 0.63, + "grad_norm": 0.1904296875, + "learning_rate": 7.109375221746352e-05, + "loss": 0.9312, + "step": 5525 + }, + { + "epoch": 0.63, + "grad_norm": 0.1806640625, + "learning_rate": 7.090205575717678e-05, + "loss": 0.943, + "step": 5530 + }, + { + "epoch": 0.64, + "grad_norm": 0.185546875, + "learning_rate": 7.071047604456499e-05, + "loss": 0.9178, + "step": 5535 + }, + { + "epoch": 0.64, + "grad_norm": 0.19921875, + "learning_rate": 7.051901384829021e-05, + "loss": 0.9456, + "step": 5540 + }, + { + "epoch": 0.64, + "grad_norm": 0.1796875, + "learning_rate": 7.032766993654303e-05, + "loss": 0.98, + "step": 5545 + }, + { + "epoch": 0.64, + "grad_norm": 0.1796875, + "learning_rate": 7.013644507703937e-05, + "loss": 0.9122, + "step": 5550 + }, + { + "epoch": 0.64, + "grad_norm": 0.193359375, + "learning_rate": 6.994534003701765e-05, + "loss": 0.9898, + "step": 5555 + }, + { + "epoch": 0.64, + "grad_norm": 0.1806640625, + "learning_rate": 6.975435558323532e-05, + "loss": 0.9486, + "step": 5560 + }, + { + "epoch": 0.64, + "grad_norm": 0.1865234375, + "learning_rate": 6.956349248196627e-05, + "loss": 0.9626, + "step": 5565 + }, + { + "epoch": 0.64, + "grad_norm": 0.1904296875, + "learning_rate": 6.937275149899725e-05, + "loss": 0.9448, + "step": 5570 + }, + { + "epoch": 0.64, + "grad_norm": 0.1953125, + "learning_rate": 6.918213339962518e-05, + "loss": 1.0067, + "step": 5575 + }, + { + "epoch": 0.64, + "grad_norm": 0.18359375, + "learning_rate": 6.899163894865395e-05, + "loss": 0.9252, + "step": 5580 + }, + { + "epoch": 0.64, + "grad_norm": 0.1796875, + "learning_rate": 6.880126891039124e-05, + "loss": 0.9502, + "step": 5585 + }, + { + "epoch": 0.64, + "grad_norm": 0.1806640625, + "learning_rate": 6.86110240486457e-05, + "loss": 0.9001, + "step": 5590 + }, + { + "epoch": 0.64, + "grad_norm": 0.17578125, + "learning_rate": 6.842090512672358e-05, + "loss": 0.967, + "step": 5595 + }, + { + "epoch": 0.64, + "grad_norm": 0.1767578125, + "learning_rate": 6.823091290742602e-05, + "loss": 0.9918, + "step": 5600 + }, + { + "epoch": 0.64, + "grad_norm": 0.185546875, + "learning_rate": 6.804104815304566e-05, + "loss": 0.9647, + "step": 5605 + }, + { + "epoch": 0.64, + "grad_norm": 0.181640625, + "learning_rate": 6.785131162536374e-05, + "loss": 0.9447, + "step": 5610 + }, + { + "epoch": 0.64, + "grad_norm": 0.1806640625, + "learning_rate": 6.766170408564705e-05, + "loss": 0.9132, + "step": 5615 + }, + { + "epoch": 0.64, + "grad_norm": 0.181640625, + "learning_rate": 6.747222629464484e-05, + "loss": 0.926, + "step": 5620 + }, + { + "epoch": 0.65, + "grad_norm": 0.18359375, + "learning_rate": 6.728287901258581e-05, + "loss": 0.9387, + "step": 5625 + }, + { + "epoch": 0.65, + "grad_norm": 0.1826171875, + "learning_rate": 6.709366299917497e-05, + "loss": 0.9901, + "step": 5630 + }, + { + "epoch": 0.65, + "grad_norm": 0.1826171875, + "learning_rate": 6.690457901359073e-05, + "loss": 0.9857, + "step": 5635 + }, + { + "epoch": 0.65, + "grad_norm": 0.173828125, + "learning_rate": 6.671562781448166e-05, + "loss": 0.9281, + "step": 5640 + }, + { + "epoch": 0.65, + "grad_norm": 0.1904296875, + "learning_rate": 6.652681015996369e-05, + "loss": 0.9267, + "step": 5645 + }, + { + "epoch": 0.65, + "grad_norm": 0.18359375, + "learning_rate": 6.633812680761684e-05, + "loss": 0.9685, + "step": 5650 + }, + { + "epoch": 0.65, + "grad_norm": 0.1748046875, + "learning_rate": 6.614957851448227e-05, + "loss": 0.895, + "step": 5655 + }, + { + "epoch": 0.65, + "grad_norm": 0.1767578125, + "learning_rate": 6.59611660370594e-05, + "loss": 0.9486, + "step": 5660 + }, + { + "epoch": 0.65, + "grad_norm": 0.19140625, + "learning_rate": 6.577289013130252e-05, + "loss": 0.9667, + "step": 5665 + }, + { + "epoch": 0.65, + "grad_norm": 0.17578125, + "learning_rate": 6.558475155261811e-05, + "loss": 0.9238, + "step": 5670 + }, + { + "epoch": 0.65, + "grad_norm": 0.177734375, + "learning_rate": 6.539675105586158e-05, + "loss": 0.9313, + "step": 5675 + }, + { + "epoch": 0.65, + "grad_norm": 0.1826171875, + "learning_rate": 6.52088893953344e-05, + "loss": 0.9187, + "step": 5680 + }, + { + "epoch": 0.65, + "grad_norm": 0.177734375, + "learning_rate": 6.502116732478096e-05, + "loss": 0.9357, + "step": 5685 + }, + { + "epoch": 0.65, + "grad_norm": 0.1875, + "learning_rate": 6.48335855973855e-05, + "loss": 0.9794, + "step": 5690 + }, + { + "epoch": 0.65, + "grad_norm": 0.1826171875, + "learning_rate": 6.464614496576935e-05, + "loss": 0.9375, + "step": 5695 + }, + { + "epoch": 0.65, + "grad_norm": 0.2158203125, + "learning_rate": 6.445884618198754e-05, + "loss": 0.9485, + "step": 5700 + }, + { + "epoch": 0.65, + "grad_norm": 0.2041015625, + "learning_rate": 6.427168999752614e-05, + "loss": 1.0271, + "step": 5705 + }, + { + "epoch": 0.66, + "grad_norm": 0.193359375, + "learning_rate": 6.408467716329894e-05, + "loss": 0.9713, + "step": 5710 + }, + { + "epoch": 0.66, + "grad_norm": 0.19140625, + "learning_rate": 6.389780842964468e-05, + "loss": 0.93, + "step": 5715 + }, + { + "epoch": 0.66, + "grad_norm": 0.197265625, + "learning_rate": 6.371108454632391e-05, + "loss": 0.9489, + "step": 5720 + }, + { + "epoch": 0.66, + "grad_norm": 0.1826171875, + "learning_rate": 6.352450626251587e-05, + "loss": 0.9221, + "step": 5725 + }, + { + "epoch": 0.66, + "grad_norm": 0.19140625, + "learning_rate": 6.33380743268159e-05, + "loss": 0.9411, + "step": 5730 + }, + { + "epoch": 0.66, + "grad_norm": 0.1884765625, + "learning_rate": 6.315178948723186e-05, + "loss": 0.9548, + "step": 5735 + }, + { + "epoch": 0.66, + "grad_norm": 0.1767578125, + "learning_rate": 6.29656524911817e-05, + "loss": 0.9121, + "step": 5740 + }, + { + "epoch": 0.66, + "grad_norm": 0.1865234375, + "learning_rate": 6.277966408548992e-05, + "loss": 0.957, + "step": 5745 + }, + { + "epoch": 0.66, + "grad_norm": 0.1826171875, + "learning_rate": 6.259382501638509e-05, + "loss": 0.9261, + "step": 5750 + }, + { + "epoch": 0.66, + "grad_norm": 0.1875, + "learning_rate": 6.240813602949641e-05, + "loss": 0.9032, + "step": 5755 + }, + { + "epoch": 0.66, + "grad_norm": 0.1796875, + "learning_rate": 6.222259786985101e-05, + "loss": 0.9069, + "step": 5760 + }, + { + "epoch": 0.66, + "grad_norm": 0.1787109375, + "learning_rate": 6.20372112818709e-05, + "loss": 0.9158, + "step": 5765 + }, + { + "epoch": 0.66, + "grad_norm": 0.177734375, + "learning_rate": 6.185197700936982e-05, + "loss": 0.926, + "step": 5770 + }, + { + "epoch": 0.66, + "grad_norm": 0.1845703125, + "learning_rate": 6.166689579555053e-05, + "loss": 0.9858, + "step": 5775 + }, + { + "epoch": 0.66, + "grad_norm": 0.185546875, + "learning_rate": 6.14819683830016e-05, + "loss": 0.9931, + "step": 5780 + }, + { + "epoch": 0.66, + "grad_norm": 0.1865234375, + "learning_rate": 6.129719551369456e-05, + "loss": 0.9457, + "step": 5785 + }, + { + "epoch": 0.66, + "grad_norm": 0.1767578125, + "learning_rate": 6.111257792898082e-05, + "loss": 0.9593, + "step": 5790 + }, + { + "epoch": 0.66, + "grad_norm": 0.2177734375, + "learning_rate": 6.092811636958877e-05, + "loss": 0.991, + "step": 5795 + }, + { + "epoch": 0.67, + "grad_norm": 0.1875, + "learning_rate": 6.0743811575620846e-05, + "loss": 1.0029, + "step": 5800 + }, + { + "epoch": 0.67, + "grad_norm": 0.1865234375, + "learning_rate": 6.055966428655042e-05, + "loss": 0.9506, + "step": 5805 + }, + { + "epoch": 0.67, + "grad_norm": 0.1826171875, + "learning_rate": 6.0375675241219e-05, + "loss": 0.9009, + "step": 5810 + }, + { + "epoch": 0.67, + "grad_norm": 0.1845703125, + "learning_rate": 6.019184517783311e-05, + "loss": 0.8785, + "step": 5815 + }, + { + "epoch": 0.67, + "grad_norm": 0.1865234375, + "learning_rate": 6.000817483396148e-05, + "loss": 0.9345, + "step": 5820 + }, + { + "epoch": 0.67, + "grad_norm": 0.1806640625, + "learning_rate": 5.982466494653187e-05, + "loss": 0.909, + "step": 5825 + }, + { + "epoch": 0.67, + "grad_norm": 0.1806640625, + "learning_rate": 5.96413162518285e-05, + "loss": 0.9035, + "step": 5830 + }, + { + "epoch": 0.67, + "grad_norm": 0.185546875, + "learning_rate": 5.945812948548855e-05, + "loss": 0.9752, + "step": 5835 + }, + { + "epoch": 0.67, + "grad_norm": 0.1865234375, + "learning_rate": 5.9275105382499694e-05, + "loss": 0.9315, + "step": 5840 + }, + { + "epoch": 0.67, + "grad_norm": 0.19140625, + "learning_rate": 5.909224467719694e-05, + "loss": 0.9753, + "step": 5845 + }, + { + "epoch": 0.67, + "grad_norm": 0.181640625, + "learning_rate": 5.890954810325966e-05, + "loss": 0.9314, + "step": 5850 + }, + { + "epoch": 0.67, + "grad_norm": 0.1787109375, + "learning_rate": 5.8727016393708746e-05, + "loss": 0.9488, + "step": 5855 + }, + { + "epoch": 0.67, + "grad_norm": 0.1796875, + "learning_rate": 5.854465028090355e-05, + "loss": 0.9126, + "step": 5860 + }, + { + "epoch": 0.67, + "grad_norm": 0.1845703125, + "learning_rate": 5.836245049653908e-05, + "loss": 0.933, + "step": 5865 + }, + { + "epoch": 0.67, + "grad_norm": 0.1962890625, + "learning_rate": 5.8180417771643006e-05, + "loss": 0.9855, + "step": 5870 + }, + { + "epoch": 0.67, + "grad_norm": 0.18359375, + "learning_rate": 5.799855283657254e-05, + "loss": 0.9595, + "step": 5875 + }, + { + "epoch": 0.67, + "grad_norm": 0.1787109375, + "learning_rate": 5.781685642101196e-05, + "loss": 0.9593, + "step": 5880 + }, + { + "epoch": 0.68, + "grad_norm": 0.1943359375, + "learning_rate": 5.7635329253969195e-05, + "loss": 0.9815, + "step": 5885 + }, + { + "epoch": 0.68, + "grad_norm": 0.1875, + "learning_rate": 5.7453972063773184e-05, + "loss": 0.9813, + "step": 5890 + }, + { + "epoch": 0.68, + "grad_norm": 0.1796875, + "learning_rate": 5.727278557807085e-05, + "loss": 0.8825, + "step": 5895 + }, + { + "epoch": 0.68, + "grad_norm": 0.1796875, + "learning_rate": 5.7091770523824317e-05, + "loss": 0.9529, + "step": 5900 + }, + { + "epoch": 0.68, + "grad_norm": 0.1865234375, + "learning_rate": 5.691092762730774e-05, + "loss": 0.9978, + "step": 5905 + }, + { + "epoch": 0.68, + "grad_norm": 0.189453125, + "learning_rate": 5.673025761410462e-05, + "loss": 0.932, + "step": 5910 + }, + { + "epoch": 0.68, + "grad_norm": 0.21484375, + "learning_rate": 5.654976120910478e-05, + "loss": 0.9421, + "step": 5915 + }, + { + "epoch": 0.68, + "grad_norm": 0.1953125, + "learning_rate": 5.636943913650147e-05, + "loss": 0.9461, + "step": 5920 + }, + { + "epoch": 0.68, + "grad_norm": 0.1865234375, + "learning_rate": 5.618929211978857e-05, + "loss": 0.9497, + "step": 5925 + }, + { + "epoch": 0.68, + "grad_norm": 0.1845703125, + "learning_rate": 5.60093208817575e-05, + "loss": 0.9658, + "step": 5930 + }, + { + "epoch": 0.68, + "grad_norm": 0.1845703125, + "learning_rate": 5.582952614449445e-05, + "loss": 0.919, + "step": 5935 + }, + { + "epoch": 0.68, + "grad_norm": 0.1875, + "learning_rate": 5.564990862937744e-05, + "loss": 0.9407, + "step": 5940 + }, + { + "epoch": 0.68, + "grad_norm": 0.1875, + "learning_rate": 5.5470469057073404e-05, + "loss": 0.9422, + "step": 5945 + }, + { + "epoch": 0.68, + "grad_norm": 0.1865234375, + "learning_rate": 5.5291208147535466e-05, + "loss": 0.9276, + "step": 5950 + }, + { + "epoch": 0.68, + "grad_norm": 0.18359375, + "learning_rate": 5.511212661999967e-05, + "loss": 0.9815, + "step": 5955 + }, + { + "epoch": 0.68, + "grad_norm": 0.1748046875, + "learning_rate": 5.4933225192982586e-05, + "loss": 0.9177, + "step": 5960 + }, + { + "epoch": 0.68, + "grad_norm": 0.18359375, + "learning_rate": 5.4754504584278e-05, + "loss": 0.9294, + "step": 5965 + }, + { + "epoch": 0.69, + "grad_norm": 0.1826171875, + "learning_rate": 5.457596551095441e-05, + "loss": 0.9828, + "step": 5970 + }, + { + "epoch": 0.69, + "grad_norm": 0.19921875, + "learning_rate": 5.4397608689351656e-05, + "loss": 0.9501, + "step": 5975 + }, + { + "epoch": 0.69, + "grad_norm": 0.1923828125, + "learning_rate": 5.421943483507863e-05, + "loss": 1.0297, + "step": 5980 + }, + { + "epoch": 0.69, + "grad_norm": 0.1884765625, + "learning_rate": 5.404144466300998e-05, + "loss": 0.9216, + "step": 5985 + }, + { + "epoch": 0.69, + "grad_norm": 0.1806640625, + "learning_rate": 5.3863638887283364e-05, + "loss": 0.9293, + "step": 5990 + }, + { + "epoch": 0.69, + "grad_norm": 0.1884765625, + "learning_rate": 5.3686018221296665e-05, + "loss": 0.95, + "step": 5995 + }, + { + "epoch": 0.69, + "grad_norm": 0.17578125, + "learning_rate": 5.350858337770498e-05, + "loss": 0.8833, + "step": 6000 + }, + { + "epoch": 0.69, + "grad_norm": 0.1748046875, + "learning_rate": 5.333133506841797e-05, + "loss": 0.9642, + "step": 6005 + }, + { + "epoch": 0.69, + "grad_norm": 0.1845703125, + "learning_rate": 5.315427400459678e-05, + "loss": 0.9833, + "step": 6010 + }, + { + "epoch": 0.69, + "grad_norm": 0.189453125, + "learning_rate": 5.297740089665129e-05, + "loss": 0.9212, + "step": 6015 + }, + { + "epoch": 0.69, + "grad_norm": 0.1845703125, + "learning_rate": 5.280071645423726e-05, + "loss": 0.9469, + "step": 6020 + }, + { + "epoch": 0.69, + "grad_norm": 0.173828125, + "learning_rate": 5.262422138625349e-05, + "loss": 0.8959, + "step": 6025 + }, + { + "epoch": 0.69, + "grad_norm": 0.177734375, + "learning_rate": 5.244791640083906e-05, + "loss": 0.9473, + "step": 6030 + }, + { + "epoch": 0.69, + "grad_norm": 0.193359375, + "learning_rate": 5.227180220537016e-05, + "loss": 0.9685, + "step": 6035 + }, + { + "epoch": 0.69, + "grad_norm": 0.181640625, + "learning_rate": 5.2095879506457736e-05, + "loss": 0.9495, + "step": 6040 + }, + { + "epoch": 0.69, + "grad_norm": 0.1865234375, + "learning_rate": 5.192014900994423e-05, + "loss": 0.9516, + "step": 6045 + }, + { + "epoch": 0.69, + "grad_norm": 0.181640625, + "learning_rate": 5.174461142090111e-05, + "loss": 0.9893, + "step": 6050 + }, + { + "epoch": 0.69, + "grad_norm": 0.1787109375, + "learning_rate": 5.156926744362562e-05, + "loss": 0.9476, + "step": 6055 + }, + { + "epoch": 0.7, + "grad_norm": 0.173828125, + "learning_rate": 5.139411778163832e-05, + "loss": 0.9632, + "step": 6060 + }, + { + "epoch": 0.7, + "grad_norm": 0.1826171875, + "learning_rate": 5.121916313768018e-05, + "loss": 0.953, + "step": 6065 + }, + { + "epoch": 0.7, + "grad_norm": 0.19140625, + "learning_rate": 5.104440421370962e-05, + "loss": 0.969, + "step": 6070 + }, + { + "epoch": 0.7, + "grad_norm": 0.1875, + "learning_rate": 5.0869841710899815e-05, + "loss": 0.9233, + "step": 6075 + }, + { + "epoch": 0.7, + "grad_norm": 0.17578125, + "learning_rate": 5.0695476329635825e-05, + "loss": 0.9095, + "step": 6080 + }, + { + "epoch": 0.7, + "grad_norm": 0.1875, + "learning_rate": 5.052130876951192e-05, + "loss": 0.9356, + "step": 6085 + }, + { + "epoch": 0.7, + "grad_norm": 0.1904296875, + "learning_rate": 5.034733972932855e-05, + "loss": 0.9314, + "step": 6090 + }, + { + "epoch": 0.7, + "grad_norm": 0.17578125, + "learning_rate": 5.017356990708969e-05, + "loss": 0.9438, + "step": 6095 + }, + { + "epoch": 0.7, + "grad_norm": 0.173828125, + "learning_rate": 5.000000000000002e-05, + "loss": 0.8893, + "step": 6100 + }, + { + "epoch": 0.7, + "grad_norm": 0.185546875, + "learning_rate": 4.982663070446207e-05, + "loss": 0.9236, + "step": 6105 + }, + { + "epoch": 0.7, + "grad_norm": 0.1748046875, + "learning_rate": 4.9653462716073594e-05, + "loss": 0.9417, + "step": 6110 + }, + { + "epoch": 0.7, + "grad_norm": 0.185546875, + "learning_rate": 4.9480496729624515e-05, + "loss": 0.9293, + "step": 6115 + }, + { + "epoch": 0.7, + "grad_norm": 0.177734375, + "learning_rate": 4.930773343909434e-05, + "loss": 0.9214, + "step": 6120 + }, + { + "epoch": 0.7, + "grad_norm": 0.1767578125, + "learning_rate": 4.91351735376493e-05, + "loss": 0.918, + "step": 6125 + }, + { + "epoch": 0.7, + "grad_norm": 0.181640625, + "learning_rate": 4.8962817717639555e-05, + "loss": 0.9821, + "step": 6130 + }, + { + "epoch": 0.7, + "grad_norm": 0.1845703125, + "learning_rate": 4.879066667059659e-05, + "loss": 0.9732, + "step": 6135 + }, + { + "epoch": 0.7, + "grad_norm": 0.185546875, + "learning_rate": 4.8618721087230014e-05, + "loss": 0.9026, + "step": 6140 + }, + { + "epoch": 0.71, + "grad_norm": 0.1953125, + "learning_rate": 4.844698165742536e-05, + "loss": 0.9547, + "step": 6145 + }, + { + "epoch": 0.71, + "grad_norm": 0.177734375, + "learning_rate": 4.8275449070240854e-05, + "loss": 0.9191, + "step": 6150 + }, + { + "epoch": 0.71, + "grad_norm": 0.1787109375, + "learning_rate": 4.810412401390487e-05, + "loss": 0.8428, + "step": 6155 + }, + { + "epoch": 0.71, + "grad_norm": 0.1904296875, + "learning_rate": 4.793300717581308e-05, + "loss": 0.8993, + "step": 6160 + }, + { + "epoch": 0.71, + "grad_norm": 0.1865234375, + "learning_rate": 4.7762099242525847e-05, + "loss": 0.9833, + "step": 6165 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.7591400899765234e-05, + "loss": 0.9107, + "step": 6170 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.7420912832412445e-05, + "loss": 0.9322, + "step": 6175 + }, + { + "epoch": 0.71, + "grad_norm": 0.1845703125, + "learning_rate": 4.7250635724505e-05, + "loss": 0.9575, + "step": 6180 + }, + { + "epoch": 0.71, + "grad_norm": 0.1806640625, + "learning_rate": 4.7080570259233935e-05, + "loss": 0.968, + "step": 6185 + }, + { + "epoch": 0.71, + "grad_norm": 0.19921875, + "learning_rate": 4.6910717118941286e-05, + "loss": 0.9626, + "step": 6190 + }, + { + "epoch": 0.71, + "grad_norm": 0.1845703125, + "learning_rate": 4.674107698511704e-05, + "loss": 0.9467, + "step": 6195 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.6571650538396615e-05, + "loss": 0.8788, + "step": 6200 + }, + { + "epoch": 0.71, + "grad_norm": 0.1796875, + "learning_rate": 4.640243845855806e-05, + "loss": 0.9311, + "step": 6205 + }, + { + "epoch": 0.71, + "grad_norm": 0.1826171875, + "learning_rate": 4.6233441424519295e-05, + "loss": 0.9713, + "step": 6210 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.606466011433557e-05, + "loss": 0.97, + "step": 6215 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.5896095205196356e-05, + "loss": 0.9904, + "step": 6220 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.5727747373423116e-05, + "loss": 0.9918, + "step": 6225 + }, + { + "epoch": 0.71, + "grad_norm": 0.1884765625, + "learning_rate": 4.5559617294466176e-05, + "loss": 0.9482, + "step": 6230 + }, + { + "epoch": 0.72, + "grad_norm": 0.1806640625, + "learning_rate": 4.539170564290237e-05, + "loss": 0.9262, + "step": 6235 + }, + { + "epoch": 0.72, + "grad_norm": 0.189453125, + "learning_rate": 4.522401309243193e-05, + "loss": 0.9817, + "step": 6240 + }, + { + "epoch": 0.72, + "grad_norm": 0.1884765625, + "learning_rate": 4.50565403158761e-05, + "loss": 0.8938, + "step": 6245 + }, + { + "epoch": 0.72, + "grad_norm": 0.1884765625, + "learning_rate": 4.488928798517442e-05, + "loss": 0.9392, + "step": 6250 + }, + { + "epoch": 0.72, + "grad_norm": 0.1943359375, + "learning_rate": 4.472225677138186e-05, + "loss": 0.9194, + "step": 6255 + }, + { + "epoch": 0.72, + "grad_norm": 0.185546875, + "learning_rate": 4.455544734466624e-05, + "loss": 0.9411, + "step": 6260 + }, + { + "epoch": 0.72, + "grad_norm": 0.185546875, + "learning_rate": 4.4388860374305474e-05, + "loss": 0.9871, + "step": 6265 + }, + { + "epoch": 0.72, + "grad_norm": 0.275390625, + "learning_rate": 4.422249652868506e-05, + "loss": 0.9315, + "step": 6270 + }, + { + "epoch": 0.72, + "grad_norm": 0.1845703125, + "learning_rate": 4.405635647529514e-05, + "loss": 0.9464, + "step": 6275 + }, + { + "epoch": 0.72, + "grad_norm": 0.1904296875, + "learning_rate": 4.389044088072798e-05, + "loss": 0.9525, + "step": 6280 + }, + { + "epoch": 0.72, + "grad_norm": 0.1748046875, + "learning_rate": 4.3724750410675287e-05, + "loss": 0.8944, + "step": 6285 + }, + { + "epoch": 0.72, + "grad_norm": 0.1904296875, + "learning_rate": 4.355928572992547e-05, + "loss": 0.9523, + "step": 6290 + }, + { + "epoch": 0.72, + "grad_norm": 0.181640625, + "learning_rate": 4.339404750236117e-05, + "loss": 0.934, + "step": 6295 + }, + { + "epoch": 0.72, + "grad_norm": 0.1826171875, + "learning_rate": 4.322903639095619e-05, + "loss": 0.9886, + "step": 6300 + }, + { + "epoch": 0.72, + "grad_norm": 0.1884765625, + "learning_rate": 4.306425305777333e-05, + "loss": 0.9596, + "step": 6305 + }, + { + "epoch": 0.72, + "grad_norm": 0.1943359375, + "learning_rate": 4.289969816396132e-05, + "loss": 0.9387, + "step": 6310 + }, + { + "epoch": 0.72, + "grad_norm": 0.1767578125, + "learning_rate": 4.2735372369752535e-05, + "loss": 0.9387, + "step": 6315 + }, + { + "epoch": 0.73, + "grad_norm": 0.197265625, + "learning_rate": 4.2571276334459895e-05, + "loss": 0.9439, + "step": 6320 + }, + { + "epoch": 0.73, + "grad_norm": 0.1748046875, + "learning_rate": 4.240741071647464e-05, + "loss": 0.9445, + "step": 6325 + }, + { + "epoch": 0.73, + "grad_norm": 0.1806640625, + "learning_rate": 4.224377617326353e-05, + "loss": 0.9121, + "step": 6330 + }, + { + "epoch": 0.73, + "grad_norm": 0.181640625, + "learning_rate": 4.208037336136612e-05, + "loss": 0.9763, + "step": 6335 + }, + { + "epoch": 0.73, + "grad_norm": 0.185546875, + "learning_rate": 4.1917202936392265e-05, + "loss": 0.9658, + "step": 6340 + }, + { + "epoch": 0.73, + "grad_norm": 0.1826171875, + "learning_rate": 4.175426555301937e-05, + "loss": 0.9722, + "step": 6345 + }, + { + "epoch": 0.73, + "grad_norm": 0.1787109375, + "learning_rate": 4.15915618649899e-05, + "loss": 0.9671, + "step": 6350 + }, + { + "epoch": 0.73, + "grad_norm": 0.189453125, + "learning_rate": 4.142909252510866e-05, + "loss": 0.9453, + "step": 6355 + }, + { + "epoch": 0.73, + "grad_norm": 0.19140625, + "learning_rate": 4.126685818524013e-05, + "loss": 0.949, + "step": 6360 + }, + { + "epoch": 0.73, + "grad_norm": 0.177734375, + "learning_rate": 4.1104859496305994e-05, + "loss": 0.9617, + "step": 6365 + }, + { + "epoch": 0.73, + "grad_norm": 0.1875, + "learning_rate": 4.094309710828236e-05, + "loss": 0.9842, + "step": 6370 + }, + { + "epoch": 0.73, + "grad_norm": 0.208984375, + "learning_rate": 4.078157167019738e-05, + "loss": 0.9351, + "step": 6375 + }, + { + "epoch": 0.73, + "grad_norm": 0.181640625, + "learning_rate": 4.0620283830128414e-05, + "loss": 0.9748, + "step": 6380 + }, + { + "epoch": 0.73, + "grad_norm": 0.1796875, + "learning_rate": 4.0459234235199515e-05, + "loss": 1.0083, + "step": 6385 + }, + { + "epoch": 0.73, + "grad_norm": 0.181640625, + "learning_rate": 4.029842353157888e-05, + "loss": 0.967, + "step": 6390 + }, + { + "epoch": 0.73, + "grad_norm": 0.177734375, + "learning_rate": 4.013785236447616e-05, + "loss": 0.924, + "step": 6395 + }, + { + "epoch": 0.73, + "grad_norm": 0.19140625, + "learning_rate": 3.9977521378140084e-05, + "loss": 0.9537, + "step": 6400 + }, + { + "epoch": 0.73, + "grad_norm": 0.1796875, + "learning_rate": 3.981743121585547e-05, + "loss": 0.9567, + "step": 6405 + }, + { + "epoch": 0.74, + "grad_norm": 0.1806640625, + "learning_rate": 3.965758251994115e-05, + "loss": 0.9325, + "step": 6410 + }, + { + "epoch": 0.74, + "grad_norm": 0.1826171875, + "learning_rate": 3.949797593174698e-05, + "loss": 0.9687, + "step": 6415 + }, + { + "epoch": 0.74, + "grad_norm": 0.1904296875, + "learning_rate": 3.933861209165146e-05, + "loss": 0.9731, + "step": 6420 + }, + { + "epoch": 0.74, + "grad_norm": 0.1826171875, + "learning_rate": 3.917949163905914e-05, + "loss": 0.95, + "step": 6425 + }, + { + "epoch": 0.74, + "grad_norm": 0.181640625, + "learning_rate": 3.9020615212398016e-05, + "loss": 0.9823, + "step": 6430 + }, + { + "epoch": 0.74, + "grad_norm": 0.19140625, + "learning_rate": 3.886198344911707e-05, + "loss": 0.9272, + "step": 6435 + }, + { + "epoch": 0.74, + "grad_norm": 0.1845703125, + "learning_rate": 3.8703596985683556e-05, + "loss": 0.8984, + "step": 6440 + }, + { + "epoch": 0.74, + "grad_norm": 0.197265625, + "learning_rate": 3.8545456457580566e-05, + "loss": 0.9515, + "step": 6445 + }, + { + "epoch": 0.74, + "grad_norm": 0.1865234375, + "learning_rate": 3.838756249930439e-05, + "loss": 0.9613, + "step": 6450 + }, + { + "epoch": 0.74, + "grad_norm": 0.185546875, + "learning_rate": 3.822991574436213e-05, + "loss": 0.9774, + "step": 6455 + }, + { + "epoch": 0.74, + "grad_norm": 0.1826171875, + "learning_rate": 3.807251682526902e-05, + "loss": 0.9645, + "step": 6460 + }, + { + "epoch": 0.74, + "grad_norm": 0.1767578125, + "learning_rate": 3.791536637354576e-05, + "loss": 0.9584, + "step": 6465 + }, + { + "epoch": 0.74, + "grad_norm": 0.1796875, + "learning_rate": 3.775846501971636e-05, + "loss": 0.9622, + "step": 6470 + }, + { + "epoch": 0.74, + "grad_norm": 0.1884765625, + "learning_rate": 3.760181339330526e-05, + "loss": 0.8987, + "step": 6475 + }, + { + "epoch": 0.74, + "grad_norm": 0.1884765625, + "learning_rate": 3.7445412122835077e-05, + "loss": 0.9277, + "step": 6480 + }, + { + "epoch": 0.74, + "grad_norm": 0.1806640625, + "learning_rate": 3.7289261835823695e-05, + "loss": 0.9665, + "step": 6485 + }, + { + "epoch": 0.74, + "grad_norm": 0.17578125, + "learning_rate": 3.713336315878224e-05, + "loss": 0.8984, + "step": 6490 + }, + { + "epoch": 0.75, + "grad_norm": 0.1884765625, + "learning_rate": 3.6977716717212165e-05, + "loss": 0.9439, + "step": 6495 + }, + { + "epoch": 0.75, + "grad_norm": 0.18359375, + "learning_rate": 3.6822323135603054e-05, + "loss": 0.9428, + "step": 6500 + }, + { + "epoch": 0.75, + "grad_norm": 0.1884765625, + "learning_rate": 3.6667183037429756e-05, + "loss": 0.9747, + "step": 6505 + }, + { + "epoch": 0.75, + "grad_norm": 0.1953125, + "learning_rate": 3.651229704515018e-05, + "loss": 0.9646, + "step": 6510 + }, + { + "epoch": 0.75, + "grad_norm": 0.193359375, + "learning_rate": 3.635766578020279e-05, + "loss": 0.9733, + "step": 6515 + }, + { + "epoch": 0.75, + "grad_norm": 0.18359375, + "learning_rate": 3.6203289863003905e-05, + "loss": 0.916, + "step": 6520 + }, + { + "epoch": 0.75, + "grad_norm": 0.1787109375, + "learning_rate": 3.604916991294537e-05, + "loss": 0.9703, + "step": 6525 + }, + { + "epoch": 0.75, + "grad_norm": 0.1796875, + "learning_rate": 3.5895306548392005e-05, + "loss": 0.9546, + "step": 6530 + }, + { + "epoch": 0.75, + "grad_norm": 0.1767578125, + "learning_rate": 3.574170038667923e-05, + "loss": 0.9571, + "step": 6535 + }, + { + "epoch": 0.75, + "grad_norm": 0.1962890625, + "learning_rate": 3.558835204411044e-05, + "loss": 0.9374, + "step": 6540 + }, + { + "epoch": 0.75, + "grad_norm": 0.18359375, + "learning_rate": 3.543526213595461e-05, + "loss": 0.9203, + "step": 6545 + }, + { + "epoch": 0.75, + "grad_norm": 0.1787109375, + "learning_rate": 3.52824312764438e-05, + "loss": 0.9333, + "step": 6550 + }, + { + "epoch": 0.75, + "grad_norm": 0.185546875, + "learning_rate": 3.512986007877072e-05, + "loss": 0.9077, + "step": 6555 + }, + { + "epoch": 0.75, + "grad_norm": 0.185546875, + "learning_rate": 3.497754915508632e-05, + "loss": 0.9262, + "step": 6560 + }, + { + "epoch": 0.75, + "grad_norm": 0.1943359375, + "learning_rate": 3.4825499116497176e-05, + "loss": 0.9597, + "step": 6565 + }, + { + "epoch": 0.75, + "grad_norm": 0.181640625, + "learning_rate": 3.467371057306318e-05, + "loss": 0.9578, + "step": 6570 + }, + { + "epoch": 0.75, + "grad_norm": 0.1826171875, + "learning_rate": 3.452218413379504e-05, + "loss": 0.941, + "step": 6575 + }, + { + "epoch": 0.76, + "grad_norm": 0.189453125, + "learning_rate": 3.437092040665183e-05, + "loss": 0.9687, + "step": 6580 + }, + { + "epoch": 0.76, + "grad_norm": 0.1865234375, + "learning_rate": 3.421991999853857e-05, + "loss": 0.9264, + "step": 6585 + }, + { + "epoch": 0.76, + "grad_norm": 0.1826171875, + "learning_rate": 3.406918351530376e-05, + "loss": 0.9096, + "step": 6590 + }, + { + "epoch": 0.76, + "grad_norm": 0.19140625, + "learning_rate": 3.3918711561737046e-05, + "loss": 0.9541, + "step": 6595 + }, + { + "epoch": 0.76, + "grad_norm": 0.19140625, + "learning_rate": 3.3768504741566664e-05, + "loss": 0.9201, + "step": 6600 + }, + { + "epoch": 0.76, + "grad_norm": 0.1865234375, + "learning_rate": 3.361856365745705e-05, + "loss": 0.9519, + "step": 6605 + }, + { + "epoch": 0.76, + "grad_norm": 0.189453125, + "learning_rate": 3.346888891100649e-05, + "loss": 0.9442, + "step": 6610 + }, + { + "epoch": 0.76, + "grad_norm": 0.1787109375, + "learning_rate": 3.331948110274462e-05, + "loss": 0.9115, + "step": 6615 + }, + { + "epoch": 0.76, + "grad_norm": 0.185546875, + "learning_rate": 3.3170340832130134e-05, + "loss": 0.9761, + "step": 6620 + }, + { + "epoch": 0.76, + "grad_norm": 0.185546875, + "learning_rate": 3.302146869754823e-05, + "loss": 0.9547, + "step": 6625 + }, + { + "epoch": 0.76, + "grad_norm": 0.189453125, + "learning_rate": 3.287286529630832e-05, + "loss": 0.9867, + "step": 6630 + }, + { + "epoch": 0.76, + "grad_norm": 0.19140625, + "learning_rate": 3.272453122464152e-05, + "loss": 0.9566, + "step": 6635 + }, + { + "epoch": 0.76, + "grad_norm": 0.1904296875, + "learning_rate": 3.2576467077698493e-05, + "loss": 0.938, + "step": 6640 + }, + { + "epoch": 0.76, + "grad_norm": 0.1962890625, + "learning_rate": 3.242867344954674e-05, + "loss": 0.9476, + "step": 6645 + }, + { + "epoch": 0.76, + "grad_norm": 0.1826171875, + "learning_rate": 3.228115093316848e-05, + "loss": 0.9288, + "step": 6650 + }, + { + "epoch": 0.76, + "grad_norm": 0.1787109375, + "learning_rate": 3.213390012045811e-05, + "loss": 0.9603, + "step": 6655 + }, + { + "epoch": 0.76, + "grad_norm": 0.1875, + "learning_rate": 3.198692160221987e-05, + "loss": 0.911, + "step": 6660 + }, + { + "epoch": 0.76, + "grad_norm": 0.18359375, + "learning_rate": 3.184021596816563e-05, + "loss": 1.0001, + "step": 6665 + }, + { + "epoch": 0.77, + "grad_norm": 0.1826171875, + "learning_rate": 3.169378380691218e-05, + "loss": 0.9743, + "step": 6670 + }, + { + "epoch": 0.77, + "grad_norm": 0.1728515625, + "learning_rate": 3.1547625705979265e-05, + "loss": 0.9113, + "step": 6675 + }, + { + "epoch": 0.77, + "grad_norm": 0.1865234375, + "learning_rate": 3.140174225178692e-05, + "loss": 0.9722, + "step": 6680 + }, + { + "epoch": 0.77, + "grad_norm": 0.1875, + "learning_rate": 3.1256134029653275e-05, + "loss": 0.9743, + "step": 6685 + }, + { + "epoch": 0.77, + "grad_norm": 0.166015625, + "learning_rate": 3.111080162379215e-05, + "loss": 0.8996, + "step": 6690 + }, + { + "epoch": 0.77, + "grad_norm": 0.1796875, + "learning_rate": 3.096574561731072e-05, + "loss": 0.925, + "step": 6695 + }, + { + "epoch": 0.77, + "grad_norm": 0.1943359375, + "learning_rate": 3.082096659220722e-05, + "loss": 0.9859, + "step": 6700 + }, + { + "epoch": 0.77, + "grad_norm": 0.18359375, + "learning_rate": 3.0676465129368556e-05, + "loss": 0.984, + "step": 6705 + }, + { + "epoch": 0.77, + "grad_norm": 0.177734375, + "learning_rate": 3.0532241808567966e-05, + "loss": 0.9618, + "step": 6710 + }, + { + "epoch": 0.77, + "grad_norm": 0.1865234375, + "learning_rate": 3.0388297208462703e-05, + "loss": 0.9563, + "step": 6715 + }, + { + "epoch": 0.77, + "grad_norm": 0.1943359375, + "learning_rate": 3.0244631906591825e-05, + "loss": 0.9311, + "step": 6720 + }, + { + "epoch": 0.77, + "grad_norm": 0.1845703125, + "learning_rate": 3.01012464793737e-05, + "loss": 0.9555, + "step": 6725 + }, + { + "epoch": 0.77, + "grad_norm": 0.171875, + "learning_rate": 2.9958141502103722e-05, + "loss": 0.9164, + "step": 6730 + }, + { + "epoch": 0.77, + "grad_norm": 0.1826171875, + "learning_rate": 2.9815317548952192e-05, + "loss": 0.9166, + "step": 6735 + }, + { + "epoch": 0.77, + "grad_norm": 0.18359375, + "learning_rate": 2.9672775192961756e-05, + "loss": 0.9433, + "step": 6740 + }, + { + "epoch": 0.77, + "grad_norm": 0.1875, + "learning_rate": 2.9530515006045368e-05, + "loss": 0.9627, + "step": 6745 + }, + { + "epoch": 0.77, + "grad_norm": 0.19140625, + "learning_rate": 2.938853755898364e-05, + "loss": 0.9391, + "step": 6750 + }, + { + "epoch": 0.78, + "grad_norm": 0.189453125, + "learning_rate": 2.9246843421422998e-05, + "loss": 0.9186, + "step": 6755 + }, + { + "epoch": 0.78, + "grad_norm": 0.1748046875, + "learning_rate": 2.910543316187301e-05, + "loss": 0.9401, + "step": 6760 + }, + { + "epoch": 0.78, + "grad_norm": 0.1787109375, + "learning_rate": 2.896430734770431e-05, + "loss": 0.9041, + "step": 6765 + }, + { + "epoch": 0.78, + "grad_norm": 0.1796875, + "learning_rate": 2.882346654514627e-05, + "loss": 0.9367, + "step": 6770 + }, + { + "epoch": 0.78, + "grad_norm": 0.1748046875, + "learning_rate": 2.8682911319284712e-05, + "loss": 0.8709, + "step": 6775 + }, + { + "epoch": 0.78, + "grad_norm": 0.1865234375, + "learning_rate": 2.8542642234059725e-05, + "loss": 0.9867, + "step": 6780 + }, + { + "epoch": 0.78, + "grad_norm": 0.181640625, + "learning_rate": 2.8402659852263257e-05, + "loss": 0.9308, + "step": 6785 + }, + { + "epoch": 0.78, + "grad_norm": 0.1728515625, + "learning_rate": 2.826296473553697e-05, + "loss": 0.9116, + "step": 6790 + }, + { + "epoch": 0.78, + "grad_norm": 0.19921875, + "learning_rate": 2.812355744436993e-05, + "loss": 0.9537, + "step": 6795 + }, + { + "epoch": 0.78, + "grad_norm": 0.2001953125, + "learning_rate": 2.7984438538096392e-05, + "loss": 0.9502, + "step": 6800 + }, + { + "epoch": 0.78, + "grad_norm": 0.1884765625, + "learning_rate": 2.784560857489358e-05, + "loss": 0.9706, + "step": 6805 + }, + { + "epoch": 0.78, + "grad_norm": 0.181640625, + "learning_rate": 2.7707068111779377e-05, + "loss": 0.9433, + "step": 6810 + }, + { + "epoch": 0.78, + "grad_norm": 0.189453125, + "learning_rate": 2.7568817704610116e-05, + "loss": 0.9487, + "step": 6815 + }, + { + "epoch": 0.78, + "grad_norm": 0.1826171875, + "learning_rate": 2.7430857908078345e-05, + "loss": 0.9408, + "step": 6820 + }, + { + "epoch": 0.78, + "grad_norm": 0.1845703125, + "learning_rate": 2.7293189275710706e-05, + "loss": 0.9269, + "step": 6825 + }, + { + "epoch": 0.78, + "grad_norm": 0.17578125, + "learning_rate": 2.7155812359865517e-05, + "loss": 0.9716, + "step": 6830 + }, + { + "epoch": 0.78, + "grad_norm": 0.1796875, + "learning_rate": 2.7018727711730706e-05, + "loss": 0.906, + "step": 6835 + }, + { + "epoch": 0.78, + "grad_norm": 0.1845703125, + "learning_rate": 2.6881935881321563e-05, + "loss": 0.8983, + "step": 6840 + }, + { + "epoch": 0.79, + "grad_norm": 0.17578125, + "learning_rate": 2.6745437417478502e-05, + "loss": 0.9094, + "step": 6845 + }, + { + "epoch": 0.79, + "grad_norm": 0.1865234375, + "learning_rate": 2.6609232867864896e-05, + "loss": 1.0059, + "step": 6850 + }, + { + "epoch": 0.79, + "grad_norm": 0.177734375, + "learning_rate": 2.6473322778964847e-05, + "loss": 1.0066, + "step": 6855 + }, + { + "epoch": 0.79, + "grad_norm": 0.1904296875, + "learning_rate": 2.6337707696081094e-05, + "loss": 0.9076, + "step": 6860 + }, + { + "epoch": 0.79, + "grad_norm": 0.1796875, + "learning_rate": 2.6202388163332637e-05, + "loss": 0.9695, + "step": 6865 + }, + { + "epoch": 0.79, + "grad_norm": 0.185546875, + "learning_rate": 2.606736472365272e-05, + "loss": 0.9594, + "step": 6870 + }, + { + "epoch": 0.79, + "grad_norm": 0.1904296875, + "learning_rate": 2.5932637918786563e-05, + "loss": 0.944, + "step": 6875 + }, + { + "epoch": 0.79, + "grad_norm": 0.1748046875, + "learning_rate": 2.5798208289289204e-05, + "loss": 0.9092, + "step": 6880 + }, + { + "epoch": 0.79, + "grad_norm": 0.1806640625, + "learning_rate": 2.566407637452345e-05, + "loss": 0.9355, + "step": 6885 + }, + { + "epoch": 0.79, + "grad_norm": 0.1865234375, + "learning_rate": 2.5530242712657492e-05, + "loss": 0.9607, + "step": 6890 + }, + { + "epoch": 0.79, + "grad_norm": 0.1875, + "learning_rate": 2.5396707840662903e-05, + "loss": 0.9421, + "step": 6895 + }, + { + "epoch": 0.79, + "grad_norm": 0.1796875, + "learning_rate": 2.526347229431242e-05, + "loss": 0.9299, + "step": 6900 + }, + { + "epoch": 0.79, + "grad_norm": 0.19921875, + "learning_rate": 2.513053660817788e-05, + "loss": 1.0149, + "step": 6905 + }, + { + "epoch": 0.79, + "grad_norm": 0.193359375, + "learning_rate": 2.499790131562797e-05, + "loss": 0.9583, + "step": 6910 + }, + { + "epoch": 0.79, + "grad_norm": 0.1904296875, + "learning_rate": 2.4865566948826048e-05, + "loss": 0.95, + "step": 6915 + }, + { + "epoch": 0.79, + "grad_norm": 0.18359375, + "learning_rate": 2.4733534038728257e-05, + "loss": 0.9341, + "step": 6920 + }, + { + "epoch": 0.79, + "grad_norm": 0.1904296875, + "learning_rate": 2.4601803115081068e-05, + "loss": 0.9515, + "step": 6925 + }, + { + "epoch": 0.8, + "grad_norm": 0.19140625, + "learning_rate": 2.4470374706419485e-05, + "loss": 0.9775, + "step": 6930 + }, + { + "epoch": 0.8, + "grad_norm": 0.18359375, + "learning_rate": 2.4339249340064507e-05, + "loss": 0.9294, + "step": 6935 + }, + { + "epoch": 0.8, + "grad_norm": 0.1845703125, + "learning_rate": 2.4208427542121504e-05, + "loss": 0.9606, + "step": 6940 + }, + { + "epoch": 0.8, + "grad_norm": 0.1875, + "learning_rate": 2.407790983747773e-05, + "loss": 0.9173, + "step": 6945 + }, + { + "epoch": 0.8, + "grad_norm": 0.17578125, + "learning_rate": 2.394769674980035e-05, + "loss": 0.9214, + "step": 6950 + }, + { + "epoch": 0.8, + "grad_norm": 0.19140625, + "learning_rate": 2.3817788801534367e-05, + "loss": 0.9737, + "step": 6955 + }, + { + "epoch": 0.8, + "grad_norm": 0.1884765625, + "learning_rate": 2.3688186513900455e-05, + "loss": 0.9523, + "step": 6960 + }, + { + "epoch": 0.8, + "grad_norm": 0.19140625, + "learning_rate": 2.3558890406892986e-05, + "loss": 0.9941, + "step": 6965 + }, + { + "epoch": 0.8, + "grad_norm": 0.1826171875, + "learning_rate": 2.34299009992778e-05, + "loss": 0.9817, + "step": 6970 + }, + { + "epoch": 0.8, + "grad_norm": 0.185546875, + "learning_rate": 2.3301218808590176e-05, + "loss": 0.9577, + "step": 6975 + }, + { + "epoch": 0.8, + "grad_norm": 0.1923828125, + "learning_rate": 2.317284435113278e-05, + "loss": 0.9816, + "step": 6980 + }, + { + "epoch": 0.8, + "grad_norm": 0.1982421875, + "learning_rate": 2.3044778141973655e-05, + "loss": 0.9451, + "step": 6985 + }, + { + "epoch": 0.8, + "grad_norm": 0.1865234375, + "learning_rate": 2.2917020694944023e-05, + "loss": 0.9186, + "step": 6990 + }, + { + "epoch": 0.8, + "grad_norm": 0.1875, + "learning_rate": 2.278957252263617e-05, + "loss": 0.9286, + "step": 6995 + }, + { + "epoch": 0.8, + "grad_norm": 0.1865234375, + "learning_rate": 2.2662434136401722e-05, + "loss": 0.9249, + "step": 7000 + }, + { + "epoch": 0.8, + "grad_norm": 0.1767578125, + "learning_rate": 2.2535606046349177e-05, + "loss": 0.8731, + "step": 7005 + }, + { + "epoch": 0.8, + "grad_norm": 0.1923828125, + "learning_rate": 2.2409088761342235e-05, + "loss": 0.9873, + "step": 7010 + }, + { + "epoch": 0.8, + "grad_norm": 0.1845703125, + "learning_rate": 2.228288278899735e-05, + "loss": 0.9734, + "step": 7015 + }, + { + "epoch": 0.81, + "grad_norm": 0.1796875, + "learning_rate": 2.215698863568213e-05, + "loss": 0.9737, + "step": 7020 + }, + { + "epoch": 0.81, + "grad_norm": 0.1865234375, + "learning_rate": 2.203140680651298e-05, + "loss": 0.9152, + "step": 7025 + }, + { + "epoch": 0.81, + "grad_norm": 0.1845703125, + "learning_rate": 2.1906137805353212e-05, + "loss": 0.9442, + "step": 7030 + }, + { + "epoch": 0.81, + "grad_norm": 0.1826171875, + "learning_rate": 2.1781182134810997e-05, + "loss": 0.9409, + "step": 7035 + }, + { + "epoch": 0.81, + "grad_norm": 0.1875, + "learning_rate": 2.1656540296237316e-05, + "loss": 0.9027, + "step": 7040 + }, + { + "epoch": 0.81, + "grad_norm": 0.181640625, + "learning_rate": 2.1532212789724094e-05, + "loss": 0.9258, + "step": 7045 + }, + { + "epoch": 0.81, + "grad_norm": 0.1845703125, + "learning_rate": 2.1408200114101985e-05, + "loss": 0.9651, + "step": 7050 + }, + { + "epoch": 0.81, + "grad_norm": 0.181640625, + "learning_rate": 2.1284502766938475e-05, + "loss": 0.9362, + "step": 7055 + }, + { + "epoch": 0.81, + "grad_norm": 0.177734375, + "learning_rate": 2.116112124453592e-05, + "loss": 0.9467, + "step": 7060 + }, + { + "epoch": 0.81, + "grad_norm": 0.185546875, + "learning_rate": 2.1038056041929456e-05, + "loss": 0.9919, + "step": 7065 + }, + { + "epoch": 0.81, + "grad_norm": 0.1884765625, + "learning_rate": 2.0915307652885164e-05, + "loss": 0.926, + "step": 7070 + }, + { + "epoch": 0.81, + "grad_norm": 0.1953125, + "learning_rate": 2.0792876569897912e-05, + "loss": 0.948, + "step": 7075 + }, + { + "epoch": 0.81, + "grad_norm": 0.1787109375, + "learning_rate": 2.067076328418949e-05, + "loss": 0.984, + "step": 7080 + }, + { + "epoch": 0.81, + "grad_norm": 0.1845703125, + "learning_rate": 2.0548968285706593e-05, + "loss": 0.9223, + "step": 7085 + }, + { + "epoch": 0.81, + "grad_norm": 0.189453125, + "learning_rate": 2.0427492063118935e-05, + "loss": 0.9921, + "step": 7090 + }, + { + "epoch": 0.81, + "grad_norm": 0.208984375, + "learning_rate": 2.0306335103817208e-05, + "loss": 0.9457, + "step": 7095 + }, + { + "epoch": 0.81, + "grad_norm": 0.1923828125, + "learning_rate": 2.018549789391102e-05, + "loss": 0.9918, + "step": 7100 + }, + { + "epoch": 0.82, + "grad_norm": 0.181640625, + "learning_rate": 2.006498091822726e-05, + "loss": 0.9386, + "step": 7105 + }, + { + "epoch": 0.82, + "grad_norm": 0.181640625, + "learning_rate": 1.994478466030787e-05, + "loss": 0.9116, + "step": 7110 + }, + { + "epoch": 0.82, + "grad_norm": 0.1865234375, + "learning_rate": 1.982490960240798e-05, + "loss": 0.9345, + "step": 7115 + }, + { + "epoch": 0.82, + "grad_norm": 0.1826171875, + "learning_rate": 1.970535622549401e-05, + "loss": 0.9185, + "step": 7120 + }, + { + "epoch": 0.82, + "grad_norm": 0.185546875, + "learning_rate": 1.9586125009241774e-05, + "loss": 0.9691, + "step": 7125 + }, + { + "epoch": 0.82, + "grad_norm": 0.201171875, + "learning_rate": 1.946721643203443e-05, + "loss": 0.9646, + "step": 7130 + }, + { + "epoch": 0.82, + "grad_norm": 0.18359375, + "learning_rate": 1.934863097096067e-05, + "loss": 0.9284, + "step": 7135 + }, + { + "epoch": 0.82, + "grad_norm": 0.193359375, + "learning_rate": 1.923036910181275e-05, + "loss": 0.9732, + "step": 7140 + }, + { + "epoch": 0.82, + "grad_norm": 0.177734375, + "learning_rate": 1.9112431299084598e-05, + "loss": 0.9394, + "step": 7145 + }, + { + "epoch": 0.82, + "grad_norm": 0.2041015625, + "learning_rate": 1.8994818035969975e-05, + "loss": 0.9554, + "step": 7150 + }, + { + "epoch": 0.82, + "grad_norm": 0.1884765625, + "learning_rate": 1.8877529784360437e-05, + "loss": 0.9861, + "step": 7155 + }, + { + "epoch": 0.82, + "grad_norm": 0.18359375, + "learning_rate": 1.8760567014843545e-05, + "loss": 0.8772, + "step": 7160 + }, + { + "epoch": 0.82, + "grad_norm": 0.1806640625, + "learning_rate": 1.864393019670092e-05, + "loss": 0.9258, + "step": 7165 + }, + { + "epoch": 0.82, + "grad_norm": 0.1826171875, + "learning_rate": 1.8527619797906494e-05, + "loss": 0.8904, + "step": 7170 + }, + { + "epoch": 0.82, + "grad_norm": 0.1884765625, + "learning_rate": 1.8411636285124457e-05, + "loss": 0.9438, + "step": 7175 + }, + { + "epoch": 0.82, + "grad_norm": 0.1953125, + "learning_rate": 1.8295980123707357e-05, + "loss": 0.9734, + "step": 7180 + }, + { + "epoch": 0.82, + "grad_norm": 0.19140625, + "learning_rate": 1.8180651777694535e-05, + "loss": 0.9641, + "step": 7185 + }, + { + "epoch": 0.83, + "grad_norm": 0.177734375, + "learning_rate": 1.8065651709809905e-05, + "loss": 0.953, + "step": 7190 + }, + { + "epoch": 0.83, + "grad_norm": 0.205078125, + "learning_rate": 1.795098038146038e-05, + "loss": 0.9441, + "step": 7195 + }, + { + "epoch": 0.83, + "grad_norm": 0.1904296875, + "learning_rate": 1.783663825273372e-05, + "loss": 0.9674, + "step": 7200 + }, + { + "epoch": 0.83, + "grad_norm": 0.181640625, + "learning_rate": 1.772262578239704e-05, + "loss": 0.9597, + "step": 7205 + }, + { + "epoch": 0.83, + "grad_norm": 0.1787109375, + "learning_rate": 1.7608943427894686e-05, + "loss": 0.9111, + "step": 7210 + }, + { + "epoch": 0.83, + "grad_norm": 0.18359375, + "learning_rate": 1.7495591645346533e-05, + "loss": 0.9676, + "step": 7215 + }, + { + "epoch": 0.83, + "grad_norm": 0.18359375, + "learning_rate": 1.7382570889546124e-05, + "loss": 0.946, + "step": 7220 + }, + { + "epoch": 0.83, + "grad_norm": 0.1845703125, + "learning_rate": 1.7269881613958805e-05, + "loss": 0.9481, + "step": 7225 + }, + { + "epoch": 0.83, + "grad_norm": 0.18359375, + "learning_rate": 1.7157524270720036e-05, + "loss": 0.9301, + "step": 7230 + }, + { + "epoch": 0.83, + "grad_norm": 0.1943359375, + "learning_rate": 1.7045499310633428e-05, + "loss": 0.9599, + "step": 7235 + }, + { + "epoch": 0.83, + "grad_norm": 0.1884765625, + "learning_rate": 1.6933807183168994e-05, + "loss": 0.9333, + "step": 7240 + }, + { + "epoch": 0.83, + "grad_norm": 0.1884765625, + "learning_rate": 1.682244833646135e-05, + "loss": 0.9387, + "step": 7245 + }, + { + "epoch": 0.83, + "grad_norm": 0.193359375, + "learning_rate": 1.6711423217307885e-05, + "loss": 0.9474, + "step": 7250 + }, + { + "epoch": 0.83, + "grad_norm": 0.1923828125, + "learning_rate": 1.6600732271167098e-05, + "loss": 0.895, + "step": 7255 + }, + { + "epoch": 0.83, + "grad_norm": 0.1884765625, + "learning_rate": 1.64903759421566e-05, + "loss": 0.944, + "step": 7260 + }, + { + "epoch": 0.83, + "grad_norm": 0.181640625, + "learning_rate": 1.638035467305148e-05, + "loss": 0.9113, + "step": 7265 + }, + { + "epoch": 0.83, + "grad_norm": 0.212890625, + "learning_rate": 1.627066890528247e-05, + "loss": 0.9302, + "step": 7270 + }, + { + "epoch": 0.83, + "grad_norm": 0.1875, + "learning_rate": 1.6161319078934278e-05, + "loss": 0.9291, + "step": 7275 + }, + { + "epoch": 0.84, + "grad_norm": 0.17578125, + "learning_rate": 1.6052305632743592e-05, + "loss": 0.9693, + "step": 7280 + }, + { + "epoch": 0.84, + "grad_norm": 0.1806640625, + "learning_rate": 1.594362900409756e-05, + "loss": 0.9234, + "step": 7285 + }, + { + "epoch": 0.84, + "grad_norm": 0.1865234375, + "learning_rate": 1.583528962903197e-05, + "loss": 0.9372, + "step": 7290 + }, + { + "epoch": 0.84, + "grad_norm": 0.197265625, + "learning_rate": 1.5727287942229387e-05, + "loss": 0.9087, + "step": 7295 + }, + { + "epoch": 0.84, + "grad_norm": 0.189453125, + "learning_rate": 1.5619624377017537e-05, + "loss": 0.957, + "step": 7300 + }, + { + "epoch": 0.84, + "grad_norm": 0.1904296875, + "learning_rate": 1.55122993653675e-05, + "loss": 0.9158, + "step": 7305 + }, + { + "epoch": 0.84, + "grad_norm": 0.1806640625, + "learning_rate": 1.540531333789207e-05, + "loss": 0.8897, + "step": 7310 + }, + { + "epoch": 0.84, + "grad_norm": 0.1875, + "learning_rate": 1.5298666723843867e-05, + "loss": 0.8997, + "step": 7315 + }, + { + "epoch": 0.84, + "grad_norm": 0.1806640625, + "learning_rate": 1.5192359951113755e-05, + "loss": 0.9355, + "step": 7320 + }, + { + "epoch": 0.84, + "grad_norm": 0.166015625, + "learning_rate": 1.5086393446229063e-05, + "loss": 0.9448, + "step": 7325 + }, + { + "epoch": 0.84, + "grad_norm": 0.1865234375, + "learning_rate": 1.4980767634351877e-05, + "loss": 0.9978, + "step": 7330 + }, + { + "epoch": 0.84, + "grad_norm": 0.1923828125, + "learning_rate": 1.4875482939277396e-05, + "loss": 1.0184, + "step": 7335 + }, + { + "epoch": 0.84, + "grad_norm": 0.1875, + "learning_rate": 1.4770539783432113e-05, + "loss": 0.9291, + "step": 7340 + }, + { + "epoch": 0.84, + "grad_norm": 0.189453125, + "learning_rate": 1.466593858787223e-05, + "loss": 0.9722, + "step": 7345 + }, + { + "epoch": 0.84, + "grad_norm": 0.173828125, + "learning_rate": 1.4561679772281877e-05, + "loss": 0.9643, + "step": 7350 + }, + { + "epoch": 0.84, + "grad_norm": 0.1875, + "learning_rate": 1.4457763754971553e-05, + "loss": 0.9647, + "step": 7355 + }, + { + "epoch": 0.84, + "grad_norm": 0.1796875, + "learning_rate": 1.4354190952876334e-05, + "loss": 0.9138, + "step": 7360 + }, + { + "epoch": 0.85, + "grad_norm": 0.1875, + "learning_rate": 1.425096178155415e-05, + "loss": 0.9588, + "step": 7365 + }, + { + "epoch": 0.85, + "grad_norm": 0.1806640625, + "learning_rate": 1.4148076655184373e-05, + "loss": 0.9397, + "step": 7370 + }, + { + "epoch": 0.85, + "grad_norm": 0.197265625, + "learning_rate": 1.404553598656585e-05, + "loss": 0.9406, + "step": 7375 + }, + { + "epoch": 0.85, + "grad_norm": 0.18359375, + "learning_rate": 1.3943340187115494e-05, + "loss": 0.9484, + "step": 7380 + }, + { + "epoch": 0.85, + "grad_norm": 0.1865234375, + "learning_rate": 1.3841489666866369e-05, + "loss": 1.01, + "step": 7385 + }, + { + "epoch": 0.85, + "grad_norm": 0.185546875, + "learning_rate": 1.373998483446638e-05, + "loss": 0.933, + "step": 7390 + }, + { + "epoch": 0.85, + "grad_norm": 0.1826171875, + "learning_rate": 1.3638826097176328e-05, + "loss": 0.9798, + "step": 7395 + }, + { + "epoch": 0.85, + "grad_norm": 0.1923828125, + "learning_rate": 1.3538013860868436e-05, + "loss": 0.941, + "step": 7400 + }, + { + "epoch": 0.85, + "grad_norm": 0.1904296875, + "learning_rate": 1.3437548530024691e-05, + "loss": 0.9279, + "step": 7405 + }, + { + "epoch": 0.85, + "grad_norm": 0.185546875, + "learning_rate": 1.3337430507735205e-05, + "loss": 0.9817, + "step": 7410 + }, + { + "epoch": 0.85, + "grad_norm": 0.1865234375, + "learning_rate": 1.3237660195696633e-05, + "loss": 0.9868, + "step": 7415 + }, + { + "epoch": 0.85, + "grad_norm": 0.181640625, + "learning_rate": 1.313823799421051e-05, + "loss": 0.9241, + "step": 7420 + }, + { + "epoch": 0.85, + "grad_norm": 0.1845703125, + "learning_rate": 1.3039164302181683e-05, + "loss": 0.9881, + "step": 7425 + }, + { + "epoch": 0.85, + "grad_norm": 0.1669921875, + "learning_rate": 1.2940439517116676e-05, + "loss": 0.9063, + "step": 7430 + }, + { + "epoch": 0.85, + "grad_norm": 0.181640625, + "learning_rate": 1.2842064035122125e-05, + "loss": 0.9329, + "step": 7435 + }, + { + "epoch": 0.85, + "grad_norm": 0.1845703125, + "learning_rate": 1.2744038250903267e-05, + "loss": 0.9975, + "step": 7440 + }, + { + "epoch": 0.85, + "grad_norm": 0.1845703125, + "learning_rate": 1.264636255776208e-05, + "loss": 0.9458, + "step": 7445 + }, + { + "epoch": 0.85, + "grad_norm": 0.17578125, + "learning_rate": 1.2549037347596115e-05, + "loss": 0.8736, + "step": 7450 + }, + { + "epoch": 0.86, + "grad_norm": 0.1962890625, + "learning_rate": 1.245206301089652e-05, + "loss": 0.9527, + "step": 7455 + }, + { + "epoch": 0.86, + "grad_norm": 0.1845703125, + "learning_rate": 1.2355439936746827e-05, + "loss": 0.9283, + "step": 7460 + }, + { + "epoch": 0.86, + "grad_norm": 0.1845703125, + "learning_rate": 1.2259168512821062e-05, + "loss": 0.9606, + "step": 7465 + }, + { + "epoch": 0.86, + "grad_norm": 0.1806640625, + "learning_rate": 1.2163249125382426e-05, + "loss": 0.982, + "step": 7470 + }, + { + "epoch": 0.86, + "grad_norm": 0.177734375, + "learning_rate": 1.206768215928169e-05, + "loss": 0.931, + "step": 7475 + }, + { + "epoch": 0.86, + "grad_norm": 0.1787109375, + "learning_rate": 1.1972467997955595e-05, + "loss": 0.9234, + "step": 7480 + }, + { + "epoch": 0.86, + "grad_norm": 0.1845703125, + "learning_rate": 1.187760702342534e-05, + "loss": 0.9514, + "step": 7485 + }, + { + "epoch": 0.86, + "grad_norm": 0.1796875, + "learning_rate": 1.1783099616295056e-05, + "loss": 0.9941, + "step": 7490 + }, + { + "epoch": 0.86, + "grad_norm": 0.1767578125, + "learning_rate": 1.1688946155750347e-05, + "loss": 0.9438, + "step": 7495 + }, + { + "epoch": 0.86, + "grad_norm": 0.1748046875, + "learning_rate": 1.1595147019556607e-05, + "loss": 0.9474, + "step": 7500 + }, + { + "epoch": 0.86, + "grad_norm": 0.18359375, + "learning_rate": 1.1501702584057661e-05, + "loss": 0.9334, + "step": 7505 + }, + { + "epoch": 0.86, + "grad_norm": 0.1884765625, + "learning_rate": 1.140861322417417e-05, + "loss": 1.0021, + "step": 7510 + }, + { + "epoch": 0.86, + "grad_norm": 0.177734375, + "learning_rate": 1.1315879313402123e-05, + "loss": 0.9094, + "step": 7515 + }, + { + "epoch": 0.86, + "grad_norm": 0.1865234375, + "learning_rate": 1.1223501223811451e-05, + "loss": 0.934, + "step": 7520 + }, + { + "epoch": 0.86, + "grad_norm": 0.1787109375, + "learning_rate": 1.1131479326044348e-05, + "loss": 0.9176, + "step": 7525 + }, + { + "epoch": 0.86, + "grad_norm": 0.1806640625, + "learning_rate": 1.1039813989313951e-05, + "loss": 0.9808, + "step": 7530 + }, + { + "epoch": 0.86, + "grad_norm": 0.1865234375, + "learning_rate": 1.0948505581402735e-05, + "loss": 0.9731, + "step": 7535 + }, + { + "epoch": 0.87, + "grad_norm": 0.177734375, + "learning_rate": 1.085755446866119e-05, + "loss": 0.9826, + "step": 7540 + }, + { + "epoch": 0.87, + "grad_norm": 0.203125, + "learning_rate": 1.076696101600615e-05, + "loss": 0.9289, + "step": 7545 + }, + { + "epoch": 0.87, + "grad_norm": 0.1796875, + "learning_rate": 1.0676725586919457e-05, + "loss": 0.9442, + "step": 7550 + }, + { + "epoch": 0.87, + "grad_norm": 0.1884765625, + "learning_rate": 1.0586848543446537e-05, + "loss": 0.9553, + "step": 7555 + }, + { + "epoch": 0.87, + "grad_norm": 0.169921875, + "learning_rate": 1.0497330246194848e-05, + "loss": 0.9037, + "step": 7560 + }, + { + "epoch": 0.87, + "grad_norm": 0.185546875, + "learning_rate": 1.0408171054332483e-05, + "loss": 0.9526, + "step": 7565 + }, + { + "epoch": 0.87, + "grad_norm": 0.220703125, + "learning_rate": 1.031937132558668e-05, + "loss": 0.967, + "step": 7570 + }, + { + "epoch": 0.87, + "grad_norm": 0.185546875, + "learning_rate": 1.0230931416242518e-05, + "loss": 0.9567, + "step": 7575 + }, + { + "epoch": 0.87, + "grad_norm": 0.1787109375, + "learning_rate": 1.014285168114133e-05, + "loss": 0.9413, + "step": 7580 + }, + { + "epoch": 0.87, + "grad_norm": 0.1826171875, + "learning_rate": 1.0055132473679363e-05, + "loss": 0.9979, + "step": 7585 + }, + { + "epoch": 0.87, + "grad_norm": 0.1787109375, + "learning_rate": 9.96777414580633e-06, + "loss": 0.913, + "step": 7590 + }, + { + "epoch": 0.87, + "grad_norm": 0.181640625, + "learning_rate": 9.880777048024014e-06, + "loss": 0.9232, + "step": 7595 + }, + { + "epoch": 0.87, + "grad_norm": 0.1787109375, + "learning_rate": 9.794141529384915e-06, + "loss": 0.9419, + "step": 7600 + }, + { + "epoch": 0.87, + "grad_norm": 0.19921875, + "learning_rate": 9.707867937490722e-06, + "loss": 0.9402, + "step": 7605 + }, + { + "epoch": 0.87, + "grad_norm": 0.1845703125, + "learning_rate": 9.621956618491024e-06, + "loss": 0.958, + "step": 7610 + }, + { + "epoch": 0.87, + "grad_norm": 0.1826171875, + "learning_rate": 9.536407917081869e-06, + "loss": 0.9503, + "step": 7615 + }, + { + "epoch": 0.87, + "grad_norm": 0.1953125, + "learning_rate": 9.451222176504414e-06, + "loss": 0.9652, + "step": 7620 + }, + { + "epoch": 0.87, + "grad_norm": 0.18359375, + "learning_rate": 9.366399738543574e-06, + "loss": 0.9568, + "step": 7625 + }, + { + "epoch": 0.88, + "grad_norm": 0.1865234375, + "learning_rate": 9.281940943526491e-06, + "loss": 0.9612, + "step": 7630 + }, + { + "epoch": 0.88, + "grad_norm": 0.185546875, + "learning_rate": 9.197846130321419e-06, + "loss": 0.9385, + "step": 7635 + }, + { + "epoch": 0.88, + "grad_norm": 0.1845703125, + "learning_rate": 9.114115636336152e-06, + "loss": 0.9141, + "step": 7640 + }, + { + "epoch": 0.88, + "grad_norm": 0.1845703125, + "learning_rate": 9.030749797516825e-06, + "loss": 0.9535, + "step": 7645 + }, + { + "epoch": 0.88, + "grad_norm": 0.197265625, + "learning_rate": 8.947748948346357e-06, + "loss": 0.8915, + "step": 7650 + }, + { + "epoch": 0.88, + "grad_norm": 0.1865234375, + "learning_rate": 8.865113421843407e-06, + "loss": 0.9905, + "step": 7655 + }, + { + "epoch": 0.88, + "grad_norm": 0.181640625, + "learning_rate": 8.782843549560771e-06, + "loss": 0.9076, + "step": 7660 + }, + { + "epoch": 0.88, + "grad_norm": 0.1884765625, + "learning_rate": 8.700939661584184e-06, + "loss": 0.996, + "step": 7665 + }, + { + "epoch": 0.88, + "grad_norm": 0.1748046875, + "learning_rate": 8.61940208653097e-06, + "loss": 0.9741, + "step": 7670 + }, + { + "epoch": 0.88, + "grad_norm": 0.185546875, + "learning_rate": 8.538231151548693e-06, + "loss": 0.9005, + "step": 7675 + }, + { + "epoch": 0.88, + "grad_norm": 0.1923828125, + "learning_rate": 8.457427182313937e-06, + "loss": 0.9117, + "step": 7680 + }, + { + "epoch": 0.88, + "grad_norm": 0.177734375, + "learning_rate": 8.37699050303089e-06, + "loss": 0.9099, + "step": 7685 + }, + { + "epoch": 0.88, + "grad_norm": 0.18359375, + "learning_rate": 8.296921436430071e-06, + "loss": 0.9472, + "step": 7690 + }, + { + "epoch": 0.88, + "grad_norm": 0.171875, + "learning_rate": 8.217220303767092e-06, + "loss": 0.9763, + "step": 7695 + }, + { + "epoch": 0.88, + "grad_norm": 0.18359375, + "learning_rate": 8.137887424821277e-06, + "loss": 0.9201, + "step": 7700 + }, + { + "epoch": 0.88, + "grad_norm": 0.17578125, + "learning_rate": 8.058923117894534e-06, + "loss": 0.9278, + "step": 7705 + }, + { + "epoch": 0.88, + "grad_norm": 0.17578125, + "learning_rate": 7.980327699809832e-06, + "loss": 0.9282, + "step": 7710 + }, + { + "epoch": 0.89, + "grad_norm": 0.1943359375, + "learning_rate": 7.902101485910185e-06, + "loss": 0.9873, + "step": 7715 + }, + { + "epoch": 0.89, + "grad_norm": 0.1884765625, + "learning_rate": 7.824244790057223e-06, + "loss": 0.9301, + "step": 7720 + }, + { + "epoch": 0.89, + "grad_norm": 0.19921875, + "learning_rate": 7.746757924630033e-06, + "loss": 0.9648, + "step": 7725 + }, + { + "epoch": 0.89, + "grad_norm": 0.181640625, + "learning_rate": 7.66964120052377e-06, + "loss": 0.9401, + "step": 7730 + }, + { + "epoch": 0.89, + "grad_norm": 0.171875, + "learning_rate": 7.592894927148553e-06, + "loss": 0.9304, + "step": 7735 + }, + { + "epoch": 0.89, + "grad_norm": 0.1806640625, + "learning_rate": 7.516519412428203e-06, + "loss": 0.9685, + "step": 7740 + }, + { + "epoch": 0.89, + "grad_norm": 0.1904296875, + "learning_rate": 7.440514962798905e-06, + "loss": 0.958, + "step": 7745 + }, + { + "epoch": 0.89, + "grad_norm": 0.173828125, + "learning_rate": 7.3648818832080745e-06, + "loss": 0.9361, + "step": 7750 + }, + { + "epoch": 0.89, + "grad_norm": 0.181640625, + "learning_rate": 7.289620477113068e-06, + "loss": 0.9719, + "step": 7755 + }, + { + "epoch": 0.89, + "grad_norm": 0.18359375, + "learning_rate": 7.214731046480094e-06, + "loss": 0.9499, + "step": 7760 + }, + { + "epoch": 0.89, + "grad_norm": 0.1865234375, + "learning_rate": 7.140213891782821e-06, + "loss": 0.9577, + "step": 7765 + }, + { + "epoch": 0.89, + "grad_norm": 0.1748046875, + "learning_rate": 7.066069312001289e-06, + "loss": 0.9519, + "step": 7770 + }, + { + "epoch": 0.89, + "grad_norm": 0.1884765625, + "learning_rate": 6.992297604620679e-06, + "loss": 0.9976, + "step": 7775 + }, + { + "epoch": 0.89, + "grad_norm": 0.19140625, + "learning_rate": 6.918899065630113e-06, + "loss": 0.9751, + "step": 7780 + }, + { + "epoch": 0.89, + "grad_norm": 0.177734375, + "learning_rate": 6.845873989521523e-06, + "loss": 0.9353, + "step": 7785 + }, + { + "epoch": 0.89, + "grad_norm": 0.1884765625, + "learning_rate": 6.773222669288359e-06, + "loss": 0.9473, + "step": 7790 + }, + { + "epoch": 0.89, + "grad_norm": 0.1904296875, + "learning_rate": 6.700945396424518e-06, + "loss": 0.9311, + "step": 7795 + }, + { + "epoch": 0.9, + "grad_norm": 0.181640625, + "learning_rate": 6.629042460923096e-06, + "loss": 0.9307, + "step": 7800 + }, + { + "epoch": 0.9, + "grad_norm": 0.205078125, + "learning_rate": 6.5575141512753015e-06, + "loss": 0.9714, + "step": 7805 + }, + { + "epoch": 0.9, + "grad_norm": 0.1884765625, + "learning_rate": 6.486360754469234e-06, + "loss": 0.9419, + "step": 7810 + }, + { + "epoch": 0.9, + "grad_norm": 0.1982421875, + "learning_rate": 6.415582555988742e-06, + "loss": 0.9297, + "step": 7815 + }, + { + "epoch": 0.9, + "grad_norm": 0.1767578125, + "learning_rate": 6.345179839812343e-06, + "loss": 0.9209, + "step": 7820 + }, + { + "epoch": 0.9, + "grad_norm": 0.1826171875, + "learning_rate": 6.275152888411984e-06, + "loss": 0.9888, + "step": 7825 + }, + { + "epoch": 0.9, + "grad_norm": 0.18359375, + "learning_rate": 6.205501982751971e-06, + "loss": 0.9304, + "step": 7830 + }, + { + "epoch": 0.9, + "grad_norm": 0.1787109375, + "learning_rate": 6.136227402287809e-06, + "loss": 0.9514, + "step": 7835 + }, + { + "epoch": 0.9, + "grad_norm": 0.1796875, + "learning_rate": 6.067329424965162e-06, + "loss": 0.9081, + "step": 7840 + }, + { + "epoch": 0.9, + "grad_norm": 0.17578125, + "learning_rate": 5.998808327218619e-06, + "loss": 0.9615, + "step": 7845 + }, + { + "epoch": 0.9, + "grad_norm": 0.189453125, + "learning_rate": 5.930664383970641e-06, + "loss": 0.9369, + "step": 7850 + }, + { + "epoch": 0.9, + "grad_norm": 0.1845703125, + "learning_rate": 5.862897868630468e-06, + "loss": 0.9581, + "step": 7855 + }, + { + "epoch": 0.9, + "grad_norm": 0.1865234375, + "learning_rate": 5.795509053093029e-06, + "loss": 0.9426, + "step": 7860 + }, + { + "epoch": 0.9, + "grad_norm": 0.1787109375, + "learning_rate": 5.72849820773782e-06, + "loss": 0.8658, + "step": 7865 + }, + { + "epoch": 0.9, + "grad_norm": 0.1865234375, + "learning_rate": 5.6618656014278406e-06, + "loss": 0.9303, + "step": 7870 + }, + { + "epoch": 0.9, + "grad_norm": 0.1875, + "learning_rate": 5.595611501508491e-06, + "loss": 0.9989, + "step": 7875 + }, + { + "epoch": 0.9, + "grad_norm": 0.1787109375, + "learning_rate": 5.5297361738065325e-06, + "loss": 0.9053, + "step": 7880 + }, + { + "epoch": 0.9, + "grad_norm": 0.181640625, + "learning_rate": 5.464239882628985e-06, + "loss": 0.9741, + "step": 7885 + }, + { + "epoch": 0.91, + "grad_norm": 0.1884765625, + "learning_rate": 5.399122890762143e-06, + "loss": 0.9414, + "step": 7890 + }, + { + "epoch": 0.91, + "grad_norm": 0.1796875, + "learning_rate": 5.334385459470359e-06, + "loss": 0.8792, + "step": 7895 + }, + { + "epoch": 0.91, + "grad_norm": 0.193359375, + "learning_rate": 5.270027848495207e-06, + "loss": 0.9348, + "step": 7900 + }, + { + "epoch": 0.91, + "grad_norm": 0.17578125, + "learning_rate": 5.2060503160542785e-06, + "loss": 0.9175, + "step": 7905 + }, + { + "epoch": 0.91, + "grad_norm": 0.177734375, + "learning_rate": 5.1424531188402405e-06, + "loss": 0.9214, + "step": 7910 + }, + { + "epoch": 0.91, + "grad_norm": 0.1787109375, + "learning_rate": 5.079236512019703e-06, + "loss": 1.0005, + "step": 7915 + }, + { + "epoch": 0.91, + "grad_norm": 0.1875, + "learning_rate": 5.016400749232297e-06, + "loss": 0.9413, + "step": 7920 + }, + { + "epoch": 0.91, + "grad_norm": 0.1845703125, + "learning_rate": 4.953946082589655e-06, + "loss": 0.9344, + "step": 7925 + }, + { + "epoch": 0.91, + "grad_norm": 0.1806640625, + "learning_rate": 4.89187276267431e-06, + "loss": 0.9874, + "step": 7930 + }, + { + "epoch": 0.91, + "grad_norm": 0.185546875, + "learning_rate": 4.83018103853875e-06, + "loss": 1.0028, + "step": 7935 + }, + { + "epoch": 0.91, + "grad_norm": 0.1787109375, + "learning_rate": 4.7688711577044354e-06, + "loss": 0.9403, + "step": 7940 + }, + { + "epoch": 0.91, + "grad_norm": 0.1875, + "learning_rate": 4.707943366160794e-06, + "loss": 0.9021, + "step": 7945 + }, + { + "epoch": 0.91, + "grad_norm": 0.1806640625, + "learning_rate": 4.647397908364182e-06, + "loss": 0.9949, + "step": 7950 + }, + { + "epoch": 0.91, + "grad_norm": 0.1806640625, + "learning_rate": 4.587235027236958e-06, + "loss": 0.9576, + "step": 7955 + }, + { + "epoch": 0.91, + "grad_norm": 0.1826171875, + "learning_rate": 4.5274549641665105e-06, + "loss": 0.937, + "step": 7960 + }, + { + "epoch": 0.91, + "grad_norm": 0.1884765625, + "learning_rate": 4.468057959004246e-06, + "loss": 0.8949, + "step": 7965 + }, + { + "epoch": 0.91, + "grad_norm": 0.1962890625, + "learning_rate": 4.40904425006472e-06, + "loss": 0.931, + "step": 7970 + }, + { + "epoch": 0.92, + "grad_norm": 0.1845703125, + "learning_rate": 4.3504140741245095e-06, + "loss": 0.9385, + "step": 7975 + }, + { + "epoch": 0.92, + "grad_norm": 0.169921875, + "learning_rate": 4.2921676664214535e-06, + "loss": 0.9761, + "step": 7980 + }, + { + "epoch": 0.92, + "grad_norm": 0.1796875, + "learning_rate": 4.234305260653604e-06, + "loss": 0.9486, + "step": 7985 + }, + { + "epoch": 0.92, + "grad_norm": 0.181640625, + "learning_rate": 4.176827088978297e-06, + "loss": 0.9197, + "step": 7990 + }, + { + "epoch": 0.92, + "grad_norm": 0.1806640625, + "learning_rate": 4.119733382011215e-06, + "loss": 0.928, + "step": 7995 + }, + { + "epoch": 0.92, + "grad_norm": 0.1875, + "learning_rate": 4.0630243688255185e-06, + "loss": 0.9408, + "step": 8000 + }, + { + "epoch": 0.92, + "grad_norm": 0.1884765625, + "learning_rate": 4.00670027695087e-06, + "loss": 0.9565, + "step": 8005 + }, + { + "epoch": 0.92, + "grad_norm": 0.18359375, + "learning_rate": 3.950761332372543e-06, + "loss": 0.9043, + "step": 8010 + }, + { + "epoch": 0.92, + "grad_norm": 0.185546875, + "learning_rate": 3.8952077595305055e-06, + "loss": 0.9867, + "step": 8015 + }, + { + "epoch": 0.92, + "grad_norm": 0.18359375, + "learning_rate": 3.8400397813185054e-06, + "loss": 0.967, + "step": 8020 + }, + { + "epoch": 0.92, + "grad_norm": 0.177734375, + "learning_rate": 3.785257619083249e-06, + "loss": 0.9493, + "step": 8025 + }, + { + "epoch": 0.92, + "grad_norm": 0.2021484375, + "learning_rate": 3.7308614926234165e-06, + "loss": 0.9425, + "step": 8030 + }, + { + "epoch": 0.92, + "grad_norm": 0.181640625, + "learning_rate": 3.676851620188826e-06, + "loss": 0.9513, + "step": 8035 + }, + { + "epoch": 0.92, + "grad_norm": 0.1904296875, + "learning_rate": 3.6232282184795794e-06, + "loss": 0.9305, + "step": 8040 + }, + { + "epoch": 0.92, + "grad_norm": 0.1806640625, + "learning_rate": 3.56999150264512e-06, + "loss": 0.8898, + "step": 8045 + }, + { + "epoch": 0.92, + "grad_norm": 0.185546875, + "learning_rate": 3.517141686283498e-06, + "loss": 0.9281, + "step": 8050 + }, + { + "epoch": 0.92, + "grad_norm": 0.19921875, + "learning_rate": 3.4646789814403503e-06, + "loss": 0.9702, + "step": 8055 + }, + { + "epoch": 0.92, + "grad_norm": 0.1796875, + "learning_rate": 3.412603598608188e-06, + "loss": 0.9329, + "step": 8060 + }, + { + "epoch": 0.93, + "grad_norm": 0.1884765625, + "learning_rate": 3.360915746725479e-06, + "loss": 0.8976, + "step": 8065 + }, + { + "epoch": 0.93, + "grad_norm": 0.1845703125, + "learning_rate": 3.3096156331758e-06, + "loss": 0.9532, + "step": 8070 + }, + { + "epoch": 0.93, + "grad_norm": 0.1875, + "learning_rate": 3.258703463787105e-06, + "loss": 0.9792, + "step": 8075 + }, + { + "epoch": 0.93, + "grad_norm": 0.1826171875, + "learning_rate": 3.2081794428307278e-06, + "loss": 0.9745, + "step": 8080 + }, + { + "epoch": 0.93, + "grad_norm": 0.2001953125, + "learning_rate": 3.1580437730207578e-06, + "loss": 0.944, + "step": 8085 + }, + { + "epoch": 0.93, + "grad_norm": 0.1904296875, + "learning_rate": 3.1082966555130654e-06, + "loss": 0.9542, + "step": 8090 + }, + { + "epoch": 0.93, + "grad_norm": 0.1826171875, + "learning_rate": 3.058938289904578e-06, + "loss": 0.9291, + "step": 8095 + }, + { + "epoch": 0.93, + "grad_norm": 0.181640625, + "learning_rate": 3.0099688742324715e-06, + "loss": 0.9879, + "step": 8100 + }, + { + "epoch": 0.93, + "grad_norm": 0.19140625, + "learning_rate": 2.9613886049733365e-06, + "loss": 0.984, + "step": 8105 + }, + { + "epoch": 0.93, + "grad_norm": 0.189453125, + "learning_rate": 2.913197677042456e-06, + "loss": 0.9277, + "step": 8110 + }, + { + "epoch": 0.93, + "grad_norm": 0.18359375, + "learning_rate": 2.865396283792965e-06, + "loss": 0.9794, + "step": 8115 + }, + { + "epoch": 0.93, + "grad_norm": 0.173828125, + "learning_rate": 2.8179846170150903e-06, + "loss": 0.9043, + "step": 8120 + }, + { + "epoch": 0.93, + "grad_norm": 0.18359375, + "learning_rate": 2.7709628669353895e-06, + "loss": 0.9177, + "step": 8125 + }, + { + "epoch": 0.93, + "grad_norm": 0.1787109375, + "learning_rate": 2.7243312222159924e-06, + "loss": 0.9242, + "step": 8130 + }, + { + "epoch": 0.93, + "grad_norm": 0.189453125, + "learning_rate": 2.6780898699538483e-06, + "loss": 1.0109, + "step": 8135 + }, + { + "epoch": 0.93, + "grad_norm": 0.1826171875, + "learning_rate": 2.6322389956799143e-06, + "loss": 0.9075, + "step": 8140 + }, + { + "epoch": 0.93, + "grad_norm": 0.1796875, + "learning_rate": 2.5867787833585124e-06, + "loss": 0.9205, + "step": 8145 + }, + { + "epoch": 0.94, + "grad_norm": 0.1826171875, + "learning_rate": 2.541709415386495e-06, + "loss": 0.9378, + "step": 8150 + }, + { + "epoch": 0.94, + "grad_norm": 0.1845703125, + "learning_rate": 2.4970310725926148e-06, + "loss": 0.9403, + "step": 8155 + }, + { + "epoch": 0.94, + "grad_norm": 0.1845703125, + "learning_rate": 2.4527439342366785e-06, + "loss": 0.9588, + "step": 8160 + }, + { + "epoch": 0.94, + "grad_norm": 0.1826171875, + "learning_rate": 2.4088481780089267e-06, + "loss": 0.952, + "step": 8165 + }, + { + "epoch": 0.94, + "grad_norm": 0.1845703125, + "learning_rate": 2.3653439800292556e-06, + "loss": 0.9714, + "step": 8170 + }, + { + "epoch": 0.94, + "grad_norm": 0.185546875, + "learning_rate": 2.3222315148465956e-06, + "loss": 0.9316, + "step": 8175 + }, + { + "epoch": 0.94, + "grad_norm": 0.189453125, + "learning_rate": 2.2795109554381024e-06, + "loss": 0.9406, + "step": 8180 + }, + { + "epoch": 0.94, + "grad_norm": 0.1923828125, + "learning_rate": 2.237182473208499e-06, + "loss": 0.9059, + "step": 8185 + }, + { + "epoch": 0.94, + "grad_norm": 0.18359375, + "learning_rate": 2.195246237989479e-06, + "loss": 1.0483, + "step": 8190 + }, + { + "epoch": 0.94, + "grad_norm": 0.1875, + "learning_rate": 2.1537024180388834e-06, + "loss": 0.9307, + "step": 8195 + }, + { + "epoch": 0.94, + "grad_norm": 0.185546875, + "learning_rate": 2.1125511800401234e-06, + "loss": 0.9557, + "step": 8200 + }, + { + "epoch": 0.94, + "grad_norm": 0.1796875, + "learning_rate": 2.0717926891014706e-06, + "loss": 0.8885, + "step": 8205 + }, + { + "epoch": 0.94, + "grad_norm": 0.185546875, + "learning_rate": 2.0314271087554126e-06, + "loss": 0.9263, + "step": 8210 + }, + { + "epoch": 0.94, + "grad_norm": 0.1845703125, + "learning_rate": 1.991454600957976e-06, + "loss": 0.9167, + "step": 8215 + }, + { + "epoch": 0.94, + "grad_norm": 0.1826171875, + "learning_rate": 1.951875326088104e-06, + "loss": 0.9438, + "step": 8220 + }, + { + "epoch": 0.94, + "grad_norm": 0.177734375, + "learning_rate": 1.9126894429469912e-06, + "loss": 0.8987, + "step": 8225 + }, + { + "epoch": 0.94, + "grad_norm": 0.2001953125, + "learning_rate": 1.8738971087574275e-06, + "loss": 0.9953, + "step": 8230 + }, + { + "epoch": 0.94, + "grad_norm": 0.193359375, + "learning_rate": 1.8354984791632778e-06, + "loss": 0.9986, + "step": 8235 + }, + { + "epoch": 0.95, + "grad_norm": 0.1884765625, + "learning_rate": 1.797493708228659e-06, + "loss": 0.9941, + "step": 8240 + }, + { + "epoch": 0.95, + "grad_norm": 0.181640625, + "learning_rate": 1.759882948437519e-06, + "loss": 0.9877, + "step": 8245 + }, + { + "epoch": 0.95, + "grad_norm": 0.1806640625, + "learning_rate": 1.7226663506929142e-06, + "loss": 0.941, + "step": 8250 + }, + { + "epoch": 0.95, + "grad_norm": 0.1865234375, + "learning_rate": 1.685844064316433e-06, + "loss": 0.9541, + "step": 8255 + }, + { + "epoch": 0.95, + "grad_norm": 0.1904296875, + "learning_rate": 1.6494162370475852e-06, + "loss": 0.9602, + "step": 8260 + }, + { + "epoch": 0.95, + "grad_norm": 0.1865234375, + "learning_rate": 1.6133830150432349e-06, + "loss": 0.9152, + "step": 8265 + }, + { + "epoch": 0.95, + "grad_norm": 0.185546875, + "learning_rate": 1.5777445428770022e-06, + "loss": 0.9283, + "step": 8270 + }, + { + "epoch": 0.95, + "grad_norm": 0.1787109375, + "learning_rate": 1.5425009635386622e-06, + "loss": 0.9179, + "step": 8275 + }, + { + "epoch": 0.95, + "grad_norm": 0.1923828125, + "learning_rate": 1.5076524184336027e-06, + "loss": 0.9523, + "step": 8280 + }, + { + "epoch": 0.95, + "grad_norm": 0.1845703125, + "learning_rate": 1.4731990473822454e-06, + "loss": 0.9898, + "step": 8285 + }, + { + "epoch": 0.95, + "grad_norm": 0.189453125, + "learning_rate": 1.4391409886194474e-06, + "loss": 0.9237, + "step": 8290 + }, + { + "epoch": 0.95, + "grad_norm": 0.18359375, + "learning_rate": 1.405478378794034e-06, + "loss": 0.9489, + "step": 8295 + }, + { + "epoch": 0.95, + "grad_norm": 0.173828125, + "learning_rate": 1.3722113529681668e-06, + "loss": 0.9042, + "step": 8300 + }, + { + "epoch": 0.95, + "grad_norm": 0.17578125, + "learning_rate": 1.3393400446168435e-06, + "loss": 0.9168, + "step": 8305 + }, + { + "epoch": 0.95, + "grad_norm": 0.1865234375, + "learning_rate": 1.306864585627332e-06, + "loss": 0.9866, + "step": 8310 + }, + { + "epoch": 0.95, + "grad_norm": 0.2041015625, + "learning_rate": 1.2747851062986926e-06, + "loss": 0.9297, + "step": 8315 + }, + { + "epoch": 0.95, + "grad_norm": 0.189453125, + "learning_rate": 1.2431017353412233e-06, + "loss": 0.9472, + "step": 8320 + }, + { + "epoch": 0.96, + "grad_norm": 0.181640625, + "learning_rate": 1.2118145998758824e-06, + "loss": 0.9502, + "step": 8325 + }, + { + "epoch": 0.96, + "grad_norm": 0.2021484375, + "learning_rate": 1.1809238254339105e-06, + "loss": 0.9025, + "step": 8330 + }, + { + "epoch": 0.96, + "grad_norm": 0.1748046875, + "learning_rate": 1.1504295359562434e-06, + "loss": 0.9621, + "step": 8335 + }, + { + "epoch": 0.96, + "grad_norm": 0.177734375, + "learning_rate": 1.1203318537929996e-06, + "loss": 0.9844, + "step": 8340 + }, + { + "epoch": 0.96, + "grad_norm": 0.1826171875, + "learning_rate": 1.090630899703038e-06, + "loss": 0.961, + "step": 8345 + }, + { + "epoch": 0.96, + "grad_norm": 0.189453125, + "learning_rate": 1.0613267928534453e-06, + "loss": 1.0294, + "step": 8350 + }, + { + "epoch": 0.96, + "grad_norm": 0.1845703125, + "learning_rate": 1.0324196508190832e-06, + "loss": 0.9599, + "step": 8355 + }, + { + "epoch": 0.96, + "grad_norm": 0.1875, + "learning_rate": 1.0039095895820639e-06, + "loss": 0.9601, + "step": 8360 + }, + { + "epoch": 0.96, + "grad_norm": 0.1875, + "learning_rate": 9.757967235313526e-07, + "loss": 0.9332, + "step": 8365 + }, + { + "epoch": 0.96, + "grad_norm": 0.185546875, + "learning_rate": 9.480811654622557e-07, + "loss": 0.9132, + "step": 8370 + }, + { + "epoch": 0.96, + "grad_norm": 0.1845703125, + "learning_rate": 9.207630265760103e-07, + "loss": 0.9203, + "step": 8375 + }, + { + "epoch": 0.96, + "grad_norm": 0.1865234375, + "learning_rate": 8.938424164792736e-07, + "loss": 0.9423, + "step": 8380 + }, + { + "epoch": 0.96, + "grad_norm": 0.1796875, + "learning_rate": 8.673194431837784e-07, + "loss": 0.9558, + "step": 8385 + }, + { + "epoch": 0.96, + "grad_norm": 0.1845703125, + "learning_rate": 8.411942131058115e-07, + "loss": 0.9531, + "step": 8390 + }, + { + "epoch": 0.96, + "grad_norm": 0.2080078125, + "learning_rate": 8.154668310658253e-07, + "loss": 0.9631, + "step": 8395 + }, + { + "epoch": 0.96, + "grad_norm": 0.1796875, + "learning_rate": 7.90137400288049e-07, + "loss": 0.9279, + "step": 8400 + }, + { + "epoch": 0.96, + "grad_norm": 0.1796875, + "learning_rate": 7.652060223999669e-07, + "loss": 0.8924, + "step": 8405 + }, + { + "epoch": 0.97, + "grad_norm": 0.1806640625, + "learning_rate": 7.406727974320627e-07, + "loss": 0.9217, + "step": 8410 + }, + { + "epoch": 0.97, + "grad_norm": 0.1845703125, + "learning_rate": 7.16537823817276e-07, + "loss": 0.9582, + "step": 8415 + }, + { + "epoch": 0.97, + "grad_norm": 0.1826171875, + "learning_rate": 6.928011983907245e-07, + "loss": 0.9871, + "step": 8420 + }, + { + "epoch": 0.97, + "grad_norm": 0.189453125, + "learning_rate": 6.694630163892046e-07, + "loss": 0.9488, + "step": 8425 + }, + { + "epoch": 0.97, + "grad_norm": 0.1884765625, + "learning_rate": 6.465233714509245e-07, + "loss": 0.9788, + "step": 8430 + }, + { + "epoch": 0.97, + "grad_norm": 0.18359375, + "learning_rate": 6.239823556150159e-07, + "loss": 0.9567, + "step": 8435 + }, + { + "epoch": 0.97, + "grad_norm": 0.1787109375, + "learning_rate": 6.01840059321257e-07, + "loss": 0.9152, + "step": 8440 + }, + { + "epoch": 0.97, + "grad_norm": 0.1884765625, + "learning_rate": 5.800965714096496e-07, + "loss": 0.9505, + "step": 8445 + }, + { + "epoch": 0.97, + "grad_norm": 0.1923828125, + "learning_rate": 5.587519791200869e-07, + "loss": 0.9529, + "step": 8450 + }, + { + "epoch": 0.97, + "grad_norm": 0.1884765625, + "learning_rate": 5.378063680920087e-07, + "loss": 0.9628, + "step": 8455 + }, + { + "epoch": 0.97, + "grad_norm": 0.17578125, + "learning_rate": 5.172598223640468e-07, + "loss": 0.9805, + "step": 8460 + }, + { + "epoch": 0.97, + "grad_norm": 0.193359375, + "learning_rate": 4.971124243736913e-07, + "loss": 0.9674, + "step": 8465 + }, + { + "epoch": 0.97, + "grad_norm": 0.1875, + "learning_rate": 4.773642549569579e-07, + "loss": 0.9235, + "step": 8470 + }, + { + "epoch": 0.97, + "grad_norm": 0.181640625, + "learning_rate": 4.5801539334805466e-07, + "loss": 0.9514, + "step": 8475 + }, + { + "epoch": 0.97, + "grad_norm": 0.1875, + "learning_rate": 4.390659171790934e-07, + "loss": 0.9045, + "step": 8480 + }, + { + "epoch": 0.97, + "grad_norm": 0.1845703125, + "learning_rate": 4.205159024797456e-07, + "loss": 0.9634, + "step": 8485 + }, + { + "epoch": 0.97, + "grad_norm": 0.18359375, + "learning_rate": 4.023654236769647e-07, + "loss": 0.9239, + "step": 8490 + }, + { + "epoch": 0.97, + "grad_norm": 0.1826171875, + "learning_rate": 3.8461455359466435e-07, + "loss": 0.9787, + "step": 8495 + }, + { + "epoch": 0.98, + "grad_norm": 0.1728515625, + "learning_rate": 3.672633634534295e-07, + "loss": 0.9538, + "step": 8500 + }, + { + "epoch": 0.98, + "grad_norm": 0.1767578125, + "learning_rate": 3.5031192287023895e-07, + "loss": 0.9254, + "step": 8505 + }, + { + "epoch": 0.98, + "grad_norm": 0.1728515625, + "learning_rate": 3.3376029985819903e-07, + "loss": 0.9176, + "step": 8510 + }, + { + "epoch": 0.98, + "grad_norm": 0.189453125, + "learning_rate": 3.176085608262436e-07, + "loss": 0.9247, + "step": 8515 + }, + { + "epoch": 0.98, + "grad_norm": 0.1845703125, + "learning_rate": 3.0185677057887885e-07, + "loss": 0.9522, + "step": 8520 + }, + { + "epoch": 0.98, + "grad_norm": 0.1826171875, + "learning_rate": 2.8650499231591685e-07, + "loss": 0.9726, + "step": 8525 + }, + { + "epoch": 0.98, + "grad_norm": 0.1962890625, + "learning_rate": 2.715532876322646e-07, + "loss": 0.9405, + "step": 8530 + }, + { + "epoch": 0.98, + "grad_norm": 0.18359375, + "learning_rate": 2.570017165175909e-07, + "loss": 0.9377, + "step": 8535 + }, + { + "epoch": 0.98, + "grad_norm": 0.185546875, + "learning_rate": 2.428503373561708e-07, + "loss": 0.9515, + "step": 8540 + }, + { + "epoch": 0.98, + "grad_norm": 0.1806640625, + "learning_rate": 2.2909920692660847e-07, + "loss": 0.9543, + "step": 8545 + }, + { + "epoch": 0.98, + "grad_norm": 0.1787109375, + "learning_rate": 2.1574838040161473e-07, + "loss": 0.9612, + "step": 8550 + }, + { + "epoch": 0.98, + "grad_norm": 0.17578125, + "learning_rate": 2.0279791134778515e-07, + "loss": 0.9845, + "step": 8555 + }, + { + "epoch": 0.98, + "grad_norm": 0.1865234375, + "learning_rate": 1.9024785172541136e-07, + "loss": 0.9681, + "step": 8560 + }, + { + "epoch": 0.98, + "grad_norm": 0.1884765625, + "learning_rate": 1.780982518882035e-07, + "loss": 0.9659, + "step": 8565 + }, + { + "epoch": 0.98, + "grad_norm": 0.1884765625, + "learning_rate": 1.6634916058319018e-07, + "loss": 0.9751, + "step": 8570 + }, + { + "epoch": 0.98, + "grad_norm": 0.1806640625, + "learning_rate": 1.5500062495041878e-07, + "loss": 0.9723, + "step": 8575 + }, + { + "epoch": 0.98, + "grad_norm": 0.193359375, + "learning_rate": 1.4405269052284455e-07, + "loss": 0.9445, + "step": 8580 + }, + { + "epoch": 0.99, + "grad_norm": 0.1943359375, + "learning_rate": 1.3350540122611942e-07, + "loss": 0.9415, + "step": 8585 + }, + { + "epoch": 0.99, + "grad_norm": 0.1787109375, + "learning_rate": 1.2335879937839246e-07, + "loss": 0.9441, + "step": 8590 + }, + { + "epoch": 0.99, + "grad_norm": 0.177734375, + "learning_rate": 1.1361292569017635e-07, + "loss": 0.9352, + "step": 8595 + }, + { + "epoch": 0.99, + "grad_norm": 0.2041015625, + "learning_rate": 1.0426781926416996e-07, + "loss": 0.9541, + "step": 8600 + }, + { + "epoch": 0.99, + "grad_norm": 0.189453125, + "learning_rate": 9.532351759510283e-08, + "loss": 0.9471, + "step": 8605 + }, + { + "epoch": 0.99, + "grad_norm": 0.1904296875, + "learning_rate": 8.678005656957977e-08, + "loss": 0.9756, + "step": 8610 + }, + { + "epoch": 0.99, + "grad_norm": 0.1875, + "learning_rate": 7.86374704659254e-08, + "loss": 0.9784, + "step": 8615 + }, + { + "epoch": 0.99, + "grad_norm": 0.1875, + "learning_rate": 7.089579195409534e-08, + "loss": 0.9212, + "step": 8620 + }, + { + "epoch": 0.99, + "grad_norm": 0.1875, + "learning_rate": 6.355505209548751e-08, + "loss": 0.955, + "step": 8625 + }, + { + "epoch": 0.99, + "grad_norm": 0.18359375, + "learning_rate": 5.6615280342842135e-08, + "loss": 0.9341, + "step": 8630 + }, + { + "epoch": 0.99, + "grad_norm": 0.1904296875, + "learning_rate": 5.00765045401197e-08, + "loss": 0.939, + "step": 8635 + }, + { + "epoch": 0.99, + "grad_norm": 0.18359375, + "learning_rate": 4.3938750922412064e-08, + "loss": 0.9634, + "step": 8640 + }, + { + "epoch": 0.99, + "grad_norm": 0.173828125, + "learning_rate": 3.82020441158093e-08, + "loss": 0.9063, + "step": 8645 + }, + { + "epoch": 0.99, + "grad_norm": 0.1845703125, + "learning_rate": 3.286640713727751e-08, + "loss": 0.9496, + "step": 8650 + }, + { + "epoch": 0.99, + "grad_norm": 0.1875, + "learning_rate": 2.7931861394658865e-08, + "loss": 0.883, + "step": 8655 + }, + { + "epoch": 0.99, + "grad_norm": 0.189453125, + "learning_rate": 2.3398426686471743e-08, + "loss": 0.9478, + "step": 8660 + }, + { + "epoch": 0.99, + "grad_norm": 0.193359375, + "learning_rate": 1.9266121201899634e-08, + "loss": 0.9193, + "step": 8665 + }, + { + "epoch": 0.99, + "grad_norm": 0.173828125, + "learning_rate": 1.5534961520724533e-08, + "loss": 0.9255, + "step": 8670 + }, + { + "epoch": 1.0, + "grad_norm": 0.1826171875, + "learning_rate": 1.2204962613204807e-08, + "loss": 0.8715, + "step": 8675 + }, + { + "epoch": 1.0, + "grad_norm": 0.185546875, + "learning_rate": 9.276137840075194e-09, + "loss": 0.9714, + "step": 8680 + }, + { + "epoch": 1.0, + "grad_norm": 0.1845703125, + "learning_rate": 6.748498952446891e-09, + "loss": 0.9396, + "step": 8685 + }, + { + "epoch": 1.0, + "grad_norm": 0.17578125, + "learning_rate": 4.6220560918075474e-09, + "loss": 0.9383, + "step": 8690 + }, + { + "epoch": 1.0, + "grad_norm": 0.1826171875, + "learning_rate": 2.8968177899213465e-09, + "loss": 0.921, + "step": 8695 + }, + { + "epoch": 1.0, + "grad_norm": 0.189453125, + "learning_rate": 1.572790968851212e-09, + "loss": 0.9909, + "step": 8700 + }, + { + "epoch": 1.0, + "grad_norm": 0.19921875, + "learning_rate": 6.49980940892192e-10, + "loss": 0.9556, + "step": 8705 + }, + { + "epoch": 1.0, + "grad_norm": 0.1865234375, + "learning_rate": 1.2839140858256215e-10, + "loss": 0.939, + "step": 8710 + }, + { + "epoch": 1.0, + "eval_loss": 0.9498655200004578, + "eval_runtime": 959.6662, + "eval_samples_per_second": 16.08, + "eval_steps_per_second": 1.006, + "step": 8714 + }, + { + "epoch": 1.0, + "step": 8714, + "total_flos": 1.2254141370364592e+19, + "train_loss": 0.9222531057372673, + "train_runtime": 31670.6049, + "train_samples_per_second": 4.402, + "train_steps_per_second": 0.275 + } + ], + "logging_steps": 5, + "max_steps": 8714, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "total_flos": 1.2254141370364592e+19, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}