| { | |
| "best_metric": 0.26709362864494324, | |
| "best_model_checkpoint": "vit-weldclassifyv3/checkpoint-1000", | |
| "epoch": 13.0, | |
| "eval_steps": 100, | |
| "global_step": 2028, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0641025641025641, | |
| "grad_norm": 1.1238359212875366, | |
| "learning_rate": 0.0001990138067061144, | |
| "loss": 1.2792, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.1282051282051282, | |
| "grad_norm": 1.7609381675720215, | |
| "learning_rate": 0.0001980276134122288, | |
| "loss": 1.1608, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.19230769230769232, | |
| "grad_norm": 1.1302402019500732, | |
| "learning_rate": 0.0001970414201183432, | |
| "loss": 1.1137, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.2564102564102564, | |
| "grad_norm": 3.0818381309509277, | |
| "learning_rate": 0.0001960552268244576, | |
| "loss": 1.0182, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.32051282051282054, | |
| "grad_norm": 1.0849112272262573, | |
| "learning_rate": 0.000195069033530572, | |
| "loss": 1.2566, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.38461538461538464, | |
| "grad_norm": 1.0367400646209717, | |
| "learning_rate": 0.0001940828402366864, | |
| "loss": 1.0554, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.44871794871794873, | |
| "grad_norm": 2.154937744140625, | |
| "learning_rate": 0.0001930966469428008, | |
| "loss": 1.0788, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.5128205128205128, | |
| "grad_norm": 1.1957019567489624, | |
| "learning_rate": 0.0001921104536489152, | |
| "loss": 1.2299, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.5769230769230769, | |
| "grad_norm": 1.3072288036346436, | |
| "learning_rate": 0.0001911242603550296, | |
| "loss": 1.0164, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.6410256410256411, | |
| "grad_norm": 1.340012550354004, | |
| "learning_rate": 0.00019013806706114398, | |
| "loss": 0.8398, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.6410256410256411, | |
| "eval_accuracy": 0.5035971223021583, | |
| "eval_loss": 1.031232476234436, | |
| "eval_runtime": 2.6053, | |
| "eval_samples_per_second": 106.706, | |
| "eval_steps_per_second": 13.434, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.7051282051282052, | |
| "grad_norm": 2.5044240951538086, | |
| "learning_rate": 0.00018915187376725837, | |
| "loss": 0.8484, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.7692307692307693, | |
| "grad_norm": 2.8144619464874268, | |
| "learning_rate": 0.00018816568047337278, | |
| "loss": 0.8283, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.8333333333333334, | |
| "grad_norm": 1.8459696769714355, | |
| "learning_rate": 0.0001871794871794872, | |
| "loss": 0.8201, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.8974358974358975, | |
| "grad_norm": 3.3761656284332275, | |
| "learning_rate": 0.0001861932938856016, | |
| "loss": 0.7736, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.9615384615384616, | |
| "grad_norm": 2.285553216934204, | |
| "learning_rate": 0.00018520710059171598, | |
| "loss": 0.7505, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.0256410256410255, | |
| "grad_norm": 3.3042893409729004, | |
| "learning_rate": 0.0001842209072978304, | |
| "loss": 0.6614, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.0897435897435896, | |
| "grad_norm": 3.174131393432617, | |
| "learning_rate": 0.00018323471400394478, | |
| "loss": 0.7393, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 1.1538461538461537, | |
| "grad_norm": 2.8764002323150635, | |
| "learning_rate": 0.00018224852071005917, | |
| "loss": 0.892, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.217948717948718, | |
| "grad_norm": 3.123760223388672, | |
| "learning_rate": 0.00018126232741617356, | |
| "loss": 0.7055, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 1.282051282051282, | |
| "grad_norm": 2.54199481010437, | |
| "learning_rate": 0.00018027613412228798, | |
| "loss": 0.5613, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.282051282051282, | |
| "eval_accuracy": 0.6618705035971223, | |
| "eval_loss": 0.7067616581916809, | |
| "eval_runtime": 2.5932, | |
| "eval_samples_per_second": 107.202, | |
| "eval_steps_per_second": 13.497, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.3461538461538463, | |
| "grad_norm": 4.848214626312256, | |
| "learning_rate": 0.0001792899408284024, | |
| "loss": 0.634, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 1.4102564102564101, | |
| "grad_norm": 2.621889352798462, | |
| "learning_rate": 0.00017830374753451678, | |
| "loss": 0.6666, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 1.4743589743589745, | |
| "grad_norm": 3.7964868545532227, | |
| "learning_rate": 0.00017731755424063117, | |
| "loss": 0.5344, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 1.5384615384615383, | |
| "grad_norm": 3.703036308288574, | |
| "learning_rate": 0.00017633136094674556, | |
| "loss": 0.5636, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 1.6025641025641026, | |
| "grad_norm": 3.081791400909424, | |
| "learning_rate": 0.00017534516765285997, | |
| "loss": 0.4211, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 3.167443037033081, | |
| "learning_rate": 0.00017435897435897436, | |
| "loss": 0.6438, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 1.7307692307692308, | |
| "grad_norm": 6.15064811706543, | |
| "learning_rate": 0.00017337278106508875, | |
| "loss": 0.5872, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 1.7948717948717947, | |
| "grad_norm": 2.0773203372955322, | |
| "learning_rate": 0.00017238658777120317, | |
| "loss": 0.6172, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 1.858974358974359, | |
| "grad_norm": 3.2962491512298584, | |
| "learning_rate": 0.00017140039447731758, | |
| "loss": 0.5252, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 1.9230769230769231, | |
| "grad_norm": 2.557178020477295, | |
| "learning_rate": 0.00017041420118343197, | |
| "loss": 0.4296, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.9230769230769231, | |
| "eval_accuracy": 0.8309352517985612, | |
| "eval_loss": 0.4007588028907776, | |
| "eval_runtime": 2.5685, | |
| "eval_samples_per_second": 108.233, | |
| "eval_steps_per_second": 13.626, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.9871794871794872, | |
| "grad_norm": 2.061478614807129, | |
| "learning_rate": 0.00016942800788954636, | |
| "loss": 0.4041, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 2.051282051282051, | |
| "grad_norm": 2.703629732131958, | |
| "learning_rate": 0.00016844181459566075, | |
| "loss": 0.3791, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 2.1153846153846154, | |
| "grad_norm": 0.8648492693901062, | |
| "learning_rate": 0.00016745562130177514, | |
| "loss": 0.2943, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 2.1794871794871793, | |
| "grad_norm": 4.140072345733643, | |
| "learning_rate": 0.00016646942800788956, | |
| "loss": 0.2485, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 2.2435897435897436, | |
| "grad_norm": 5.02016019821167, | |
| "learning_rate": 0.00016548323471400394, | |
| "loss": 0.4904, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 2.3076923076923075, | |
| "grad_norm": 1.8560619354248047, | |
| "learning_rate": 0.00016449704142011836, | |
| "loss": 0.3835, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 2.371794871794872, | |
| "grad_norm": 10.23709487915039, | |
| "learning_rate": 0.00016351084812623275, | |
| "loss": 0.3015, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 2.435897435897436, | |
| "grad_norm": 5.944732666015625, | |
| "learning_rate": 0.00016252465483234716, | |
| "loss": 0.3199, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 2.0510830879211426, | |
| "learning_rate": 0.00016153846153846155, | |
| "loss": 0.2512, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 2.564102564102564, | |
| "grad_norm": 3.4166271686553955, | |
| "learning_rate": 0.00016055226824457594, | |
| "loss": 0.3475, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.564102564102564, | |
| "eval_accuracy": 0.8812949640287769, | |
| "eval_loss": 0.33450016379356384, | |
| "eval_runtime": 3.6169, | |
| "eval_samples_per_second": 76.862, | |
| "eval_steps_per_second": 9.677, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.628205128205128, | |
| "grad_norm": 6.59075927734375, | |
| "learning_rate": 0.00015956607495069033, | |
| "loss": 0.2296, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 2.6923076923076925, | |
| "grad_norm": 2.345207929611206, | |
| "learning_rate": 0.00015857988165680475, | |
| "loss": 0.2535, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 2.7564102564102564, | |
| "grad_norm": 3.3290200233459473, | |
| "learning_rate": 0.00015759368836291914, | |
| "loss": 0.2902, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 2.8205128205128203, | |
| "grad_norm": 3.723925828933716, | |
| "learning_rate": 0.00015660749506903355, | |
| "loss": 0.2591, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 2.8846153846153846, | |
| "grad_norm": 4.227429389953613, | |
| "learning_rate": 0.00015562130177514794, | |
| "loss": 0.2915, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 2.948717948717949, | |
| "grad_norm": 3.918539047241211, | |
| "learning_rate": 0.00015463510848126233, | |
| "loss": 0.3859, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 3.0128205128205128, | |
| "grad_norm": 2.824794292449951, | |
| "learning_rate": 0.00015364891518737675, | |
| "loss": 0.3425, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 3.076923076923077, | |
| "grad_norm": 0.28933683037757874, | |
| "learning_rate": 0.00015266272189349113, | |
| "loss": 0.1796, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 3.141025641025641, | |
| "grad_norm": 2.101590394973755, | |
| "learning_rate": 0.00015167652859960552, | |
| "loss": 0.1881, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 3.2051282051282053, | |
| "grad_norm": 0.31414705514907837, | |
| "learning_rate": 0.0001506903353057199, | |
| "loss": 0.1183, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.2051282051282053, | |
| "eval_accuracy": 0.8489208633093526, | |
| "eval_loss": 0.4293219745159149, | |
| "eval_runtime": 3.4489, | |
| "eval_samples_per_second": 80.605, | |
| "eval_steps_per_second": 10.148, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.269230769230769, | |
| "grad_norm": 3.8199613094329834, | |
| "learning_rate": 0.00014970414201183433, | |
| "loss": 0.1736, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 3.3333333333333335, | |
| "grad_norm": 1.631716251373291, | |
| "learning_rate": 0.00014871794871794872, | |
| "loss": 0.1903, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 3.3974358974358974, | |
| "grad_norm": 3.813403844833374, | |
| "learning_rate": 0.00014773175542406313, | |
| "loss": 0.2243, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 3.4615384615384617, | |
| "grad_norm": 6.256704330444336, | |
| "learning_rate": 0.00014674556213017752, | |
| "loss": 0.1941, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 3.5256410256410255, | |
| "grad_norm": 6.570198059082031, | |
| "learning_rate": 0.0001457593688362919, | |
| "loss": 0.1747, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 3.58974358974359, | |
| "grad_norm": 3.7718803882598877, | |
| "learning_rate": 0.00014477317554240633, | |
| "loss": 0.2871, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 3.6538461538461537, | |
| "grad_norm": 3.889697790145874, | |
| "learning_rate": 0.00014378698224852072, | |
| "loss": 0.173, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 3.717948717948718, | |
| "grad_norm": 2.5270767211914062, | |
| "learning_rate": 0.0001428007889546351, | |
| "loss": 0.2472, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 3.782051282051282, | |
| "grad_norm": 0.2746649980545044, | |
| "learning_rate": 0.0001418145956607495, | |
| "loss": 0.1564, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 3.8461538461538463, | |
| "grad_norm": 2.9636824131011963, | |
| "learning_rate": 0.0001408284023668639, | |
| "loss": 0.1531, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 3.8461538461538463, | |
| "eval_accuracy": 0.9136690647482014, | |
| "eval_loss": 0.2748344838619232, | |
| "eval_runtime": 2.583, | |
| "eval_samples_per_second": 107.625, | |
| "eval_steps_per_second": 13.55, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 3.91025641025641, | |
| "grad_norm": 2.8231372833251953, | |
| "learning_rate": 0.00013984220907297832, | |
| "loss": 0.1651, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 3.9743589743589745, | |
| "grad_norm": 0.6206132769584656, | |
| "learning_rate": 0.0001388560157790927, | |
| "loss": 0.1854, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 4.038461538461538, | |
| "grad_norm": 0.720039427280426, | |
| "learning_rate": 0.0001378698224852071, | |
| "loss": 0.2629, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 4.102564102564102, | |
| "grad_norm": 0.28592395782470703, | |
| "learning_rate": 0.00013688362919132152, | |
| "loss": 0.0969, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 4.166666666666667, | |
| "grad_norm": 1.0571306943893433, | |
| "learning_rate": 0.0001358974358974359, | |
| "loss": 0.0816, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 4.230769230769231, | |
| "grad_norm": 5.520449638366699, | |
| "learning_rate": 0.0001349112426035503, | |
| "loss": 0.0997, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 4.294871794871795, | |
| "grad_norm": 10.63196849822998, | |
| "learning_rate": 0.00013392504930966468, | |
| "loss": 0.1369, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 4.358974358974359, | |
| "grad_norm": 2.723325729370117, | |
| "learning_rate": 0.0001329388560157791, | |
| "loss": 0.0631, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 4.423076923076923, | |
| "grad_norm": 0.07080604135990143, | |
| "learning_rate": 0.00013195266272189352, | |
| "loss": 0.1089, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 4.487179487179487, | |
| "grad_norm": 5.3309326171875, | |
| "learning_rate": 0.0001309664694280079, | |
| "loss": 0.1174, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 4.487179487179487, | |
| "eval_accuracy": 0.8812949640287769, | |
| "eval_loss": 0.36486199498176575, | |
| "eval_runtime": 3.5449, | |
| "eval_samples_per_second": 78.422, | |
| "eval_steps_per_second": 9.873, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 4.551282051282051, | |
| "grad_norm": 4.462215900421143, | |
| "learning_rate": 0.0001299802761341223, | |
| "loss": 0.1378, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 4.615384615384615, | |
| "grad_norm": 8.144935607910156, | |
| "learning_rate": 0.00012899408284023668, | |
| "loss": 0.0917, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 4.67948717948718, | |
| "grad_norm": 0.08221765607595444, | |
| "learning_rate": 0.0001280078895463511, | |
| "loss": 0.0562, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 4.743589743589744, | |
| "grad_norm": 8.699402809143066, | |
| "learning_rate": 0.0001270216962524655, | |
| "loss": 0.1787, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 4.8076923076923075, | |
| "grad_norm": 7.376129150390625, | |
| "learning_rate": 0.00012603550295857988, | |
| "loss": 0.064, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 4.871794871794872, | |
| "grad_norm": 0.08259747177362442, | |
| "learning_rate": 0.0001250493096646943, | |
| "loss": 0.0927, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 4.935897435897436, | |
| "grad_norm": 0.08165480941534042, | |
| "learning_rate": 0.00012406311637080868, | |
| "loss": 0.1067, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.19699496030807495, | |
| "learning_rate": 0.0001230769230769231, | |
| "loss": 0.0974, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 5.064102564102564, | |
| "grad_norm": 3.4025802612304688, | |
| "learning_rate": 0.00012209072978303749, | |
| "loss": 0.0977, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 5.128205128205128, | |
| "grad_norm": 2.273251533508301, | |
| "learning_rate": 0.00012110453648915188, | |
| "loss": 0.0498, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 5.128205128205128, | |
| "eval_accuracy": 0.8920863309352518, | |
| "eval_loss": 0.327900767326355, | |
| "eval_runtime": 3.5689, | |
| "eval_samples_per_second": 77.895, | |
| "eval_steps_per_second": 9.807, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 5.1923076923076925, | |
| "grad_norm": 0.624547004699707, | |
| "learning_rate": 0.00012011834319526626, | |
| "loss": 0.0821, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 5.256410256410256, | |
| "grad_norm": 3.7610857486724854, | |
| "learning_rate": 0.00011913214990138068, | |
| "loss": 0.0481, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 5.32051282051282, | |
| "grad_norm": 0.06995019316673279, | |
| "learning_rate": 0.00011814595660749508, | |
| "loss": 0.0117, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 5.384615384615385, | |
| "grad_norm": 0.08295288681983948, | |
| "learning_rate": 0.00011715976331360947, | |
| "loss": 0.0122, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 5.448717948717949, | |
| "grad_norm": 0.0509318970143795, | |
| "learning_rate": 0.00011617357001972386, | |
| "loss": 0.0447, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 5.512820512820513, | |
| "grad_norm": 0.05534667894244194, | |
| "learning_rate": 0.00011518737672583828, | |
| "loss": 0.0786, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 5.576923076923077, | |
| "grad_norm": 0.36779171228408813, | |
| "learning_rate": 0.00011420118343195268, | |
| "loss": 0.0427, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 5.641025641025641, | |
| "grad_norm": 0.0412164181470871, | |
| "learning_rate": 0.00011321499013806707, | |
| "loss": 0.0151, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 5.705128205128205, | |
| "grad_norm": 0.03488855063915253, | |
| "learning_rate": 0.00011222879684418146, | |
| "loss": 0.0331, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 5.769230769230769, | |
| "grad_norm": 5.378381252288818, | |
| "learning_rate": 0.00011124260355029586, | |
| "loss": 0.0817, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 5.769230769230769, | |
| "eval_accuracy": 0.935251798561151, | |
| "eval_loss": 0.27631285786628723, | |
| "eval_runtime": 3.5274, | |
| "eval_samples_per_second": 78.812, | |
| "eval_steps_per_second": 9.922, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 5.833333333333333, | |
| "grad_norm": 0.121369369328022, | |
| "learning_rate": 0.00011025641025641027, | |
| "loss": 0.0164, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 5.897435897435898, | |
| "grad_norm": 0.30134713649749756, | |
| "learning_rate": 0.00010927021696252466, | |
| "loss": 0.0399, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 5.961538461538462, | |
| "grad_norm": 9.133658409118652, | |
| "learning_rate": 0.00010828402366863905, | |
| "loss": 0.0893, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 6.0256410256410255, | |
| "grad_norm": 0.037670884281396866, | |
| "learning_rate": 0.00010729783037475345, | |
| "loss": 0.0285, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 6.089743589743589, | |
| "grad_norm": 4.902493953704834, | |
| "learning_rate": 0.00010631163708086787, | |
| "loss": 0.0796, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 6.153846153846154, | |
| "grad_norm": 6.080508232116699, | |
| "learning_rate": 0.00010532544378698226, | |
| "loss": 0.1406, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 6.217948717948718, | |
| "grad_norm": 3.923866033554077, | |
| "learning_rate": 0.00010433925049309665, | |
| "loss": 0.0914, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 6.282051282051282, | |
| "grad_norm": 0.9966168999671936, | |
| "learning_rate": 0.00010335305719921105, | |
| "loss": 0.0906, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 6.346153846153846, | |
| "grad_norm": 0.2861874997615814, | |
| "learning_rate": 0.00010236686390532544, | |
| "loss": 0.0335, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 6.410256410256411, | |
| "grad_norm": 0.030173303559422493, | |
| "learning_rate": 0.00010138067061143986, | |
| "loss": 0.0075, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.410256410256411, | |
| "eval_accuracy": 0.920863309352518, | |
| "eval_loss": 0.26709362864494324, | |
| "eval_runtime": 2.5656, | |
| "eval_samples_per_second": 108.358, | |
| "eval_steps_per_second": 13.642, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.4743589743589745, | |
| "grad_norm": 0.02864202857017517, | |
| "learning_rate": 0.00010039447731755424, | |
| "loss": 0.0628, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 6.538461538461538, | |
| "grad_norm": 0.6442215442657471, | |
| "learning_rate": 9.940828402366865e-05, | |
| "loss": 0.0205, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 6.602564102564102, | |
| "grad_norm": 0.047572050243616104, | |
| "learning_rate": 9.842209072978305e-05, | |
| "loss": 0.1029, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "grad_norm": 11.545117378234863, | |
| "learning_rate": 9.743589743589744e-05, | |
| "loss": 0.0454, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 6.730769230769231, | |
| "grad_norm": 0.08284212648868561, | |
| "learning_rate": 9.644970414201184e-05, | |
| "loss": 0.0059, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 6.794871794871795, | |
| "grad_norm": 0.19572466611862183, | |
| "learning_rate": 9.546351084812624e-05, | |
| "loss": 0.0907, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 6.858974358974359, | |
| "grad_norm": 0.041858524084091187, | |
| "learning_rate": 9.447731755424064e-05, | |
| "loss": 0.0562, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 6.923076923076923, | |
| "grad_norm": 0.045817919075489044, | |
| "learning_rate": 9.349112426035503e-05, | |
| "loss": 0.0262, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 6.987179487179487, | |
| "grad_norm": 0.14285103976726532, | |
| "learning_rate": 9.250493096646942e-05, | |
| "loss": 0.0185, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 7.051282051282051, | |
| "grad_norm": 0.027153167873620987, | |
| "learning_rate": 9.151873767258384e-05, | |
| "loss": 0.0265, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 7.051282051282051, | |
| "eval_accuracy": 0.920863309352518, | |
| "eval_loss": 0.3184675872325897, | |
| "eval_runtime": 2.4994, | |
| "eval_samples_per_second": 111.228, | |
| "eval_steps_per_second": 14.004, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 7.115384615384615, | |
| "grad_norm": 0.027239225804805756, | |
| "learning_rate": 9.053254437869823e-05, | |
| "loss": 0.0629, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 7.17948717948718, | |
| "grad_norm": 0.02252044342458248, | |
| "learning_rate": 8.954635108481263e-05, | |
| "loss": 0.0198, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 7.243589743589744, | |
| "grad_norm": 0.038163017481565475, | |
| "learning_rate": 8.856015779092702e-05, | |
| "loss": 0.0323, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 7.3076923076923075, | |
| "grad_norm": 0.038108520209789276, | |
| "learning_rate": 8.757396449704143e-05, | |
| "loss": 0.0379, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 7.371794871794872, | |
| "grad_norm": 0.019251950085163116, | |
| "learning_rate": 8.658777120315582e-05, | |
| "loss": 0.028, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 7.435897435897436, | |
| "grad_norm": 0.01974482275545597, | |
| "learning_rate": 8.560157790927023e-05, | |
| "loss": 0.0043, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "grad_norm": 2.0657660961151123, | |
| "learning_rate": 8.461538461538461e-05, | |
| "loss": 0.0069, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 7.564102564102564, | |
| "grad_norm": 0.025256551802158356, | |
| "learning_rate": 8.362919132149902e-05, | |
| "loss": 0.0045, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 7.628205128205128, | |
| "grad_norm": 0.018220046535134315, | |
| "learning_rate": 8.264299802761342e-05, | |
| "loss": 0.0038, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 7.6923076923076925, | |
| "grad_norm": 15.359424591064453, | |
| "learning_rate": 8.165680473372781e-05, | |
| "loss": 0.0457, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 7.6923076923076925, | |
| "eval_accuracy": 0.9100719424460432, | |
| "eval_loss": 0.37759149074554443, | |
| "eval_runtime": 3.7105, | |
| "eval_samples_per_second": 74.922, | |
| "eval_steps_per_second": 9.433, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 7.756410256410256, | |
| "grad_norm": 0.017574544996023178, | |
| "learning_rate": 8.067061143984221e-05, | |
| "loss": 0.0038, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 7.82051282051282, | |
| "grad_norm": 0.01818062551319599, | |
| "learning_rate": 7.968441814595661e-05, | |
| "loss": 0.004, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 7.884615384615385, | |
| "grad_norm": 0.024309920147061348, | |
| "learning_rate": 7.869822485207101e-05, | |
| "loss": 0.0038, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 7.948717948717949, | |
| "grad_norm": 0.07784882932901382, | |
| "learning_rate": 7.77120315581854e-05, | |
| "loss": 0.0059, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 8.012820512820513, | |
| "grad_norm": 0.035918813198804855, | |
| "learning_rate": 7.67258382642998e-05, | |
| "loss": 0.0047, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 8.076923076923077, | |
| "grad_norm": 0.35960128903388977, | |
| "learning_rate": 7.573964497041421e-05, | |
| "loss": 0.0068, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 8.14102564102564, | |
| "grad_norm": 0.015659425407648087, | |
| "learning_rate": 7.475345167652861e-05, | |
| "loss": 0.0039, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 8.205128205128204, | |
| "grad_norm": 0.01647733524441719, | |
| "learning_rate": 7.3767258382643e-05, | |
| "loss": 0.0035, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 8.26923076923077, | |
| "grad_norm": 0.015693532302975655, | |
| "learning_rate": 7.27810650887574e-05, | |
| "loss": 0.0203, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 8.333333333333334, | |
| "grad_norm": 0.01847326196730137, | |
| "learning_rate": 7.17948717948718e-05, | |
| "loss": 0.0032, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 8.333333333333334, | |
| "eval_accuracy": 0.9388489208633094, | |
| "eval_loss": 0.2834855318069458, | |
| "eval_runtime": 3.4846, | |
| "eval_samples_per_second": 79.78, | |
| "eval_steps_per_second": 10.044, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 8.397435897435898, | |
| "grad_norm": 0.01613900437951088, | |
| "learning_rate": 7.08086785009862e-05, | |
| "loss": 0.0055, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 8.461538461538462, | |
| "grad_norm": 0.015385860577225685, | |
| "learning_rate": 6.98224852071006e-05, | |
| "loss": 0.0118, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 8.525641025641026, | |
| "grad_norm": 0.014069377444684505, | |
| "learning_rate": 6.883629191321498e-05, | |
| "loss": 0.0029, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 8.58974358974359, | |
| "grad_norm": 0.015751365572214127, | |
| "learning_rate": 6.78500986193294e-05, | |
| "loss": 0.0116, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 8.653846153846153, | |
| "grad_norm": 0.0143636055290699, | |
| "learning_rate": 6.686390532544379e-05, | |
| "loss": 0.0554, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 8.717948717948717, | |
| "grad_norm": 0.015580832026898861, | |
| "learning_rate": 6.587771203155819e-05, | |
| "loss": 0.0031, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 8.782051282051283, | |
| "grad_norm": 0.014274963177740574, | |
| "learning_rate": 6.489151873767258e-05, | |
| "loss": 0.0029, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 8.846153846153847, | |
| "grad_norm": 0.02313074842095375, | |
| "learning_rate": 6.390532544378698e-05, | |
| "loss": 0.0339, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 8.91025641025641, | |
| "grad_norm": 1.4907852411270142, | |
| "learning_rate": 6.291913214990139e-05, | |
| "loss": 0.0046, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 8.974358974358974, | |
| "grad_norm": 0.015585100278258324, | |
| "learning_rate": 6.193293885601579e-05, | |
| "loss": 0.0027, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 8.974358974358974, | |
| "eval_accuracy": 0.8884892086330936, | |
| "eval_loss": 0.5365095734596252, | |
| "eval_runtime": 2.5385, | |
| "eval_samples_per_second": 109.513, | |
| "eval_steps_per_second": 13.788, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 9.038461538461538, | |
| "grad_norm": 0.014531627297401428, | |
| "learning_rate": 6.094674556213018e-05, | |
| "loss": 0.0253, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 9.102564102564102, | |
| "grad_norm": 0.012606761418282986, | |
| "learning_rate": 5.996055226824457e-05, | |
| "loss": 0.0031, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 9.166666666666666, | |
| "grad_norm": 0.012980329804122448, | |
| "learning_rate": 5.897435897435898e-05, | |
| "loss": 0.003, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 9.23076923076923, | |
| "grad_norm": 0.012560625560581684, | |
| "learning_rate": 5.798816568047337e-05, | |
| "loss": 0.0029, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 9.294871794871796, | |
| "grad_norm": 0.01267662551254034, | |
| "learning_rate": 5.700197238658778e-05, | |
| "loss": 0.0027, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 9.35897435897436, | |
| "grad_norm": 0.018838873133063316, | |
| "learning_rate": 5.601577909270217e-05, | |
| "loss": 0.0026, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 9.423076923076923, | |
| "grad_norm": 0.012279819697141647, | |
| "learning_rate": 5.502958579881658e-05, | |
| "loss": 0.0025, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 9.487179487179487, | |
| "grad_norm": 0.011527939699590206, | |
| "learning_rate": 5.4043392504930966e-05, | |
| "loss": 0.0023, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 9.551282051282051, | |
| "grad_norm": 0.01282353326678276, | |
| "learning_rate": 5.3057199211045375e-05, | |
| "loss": 0.0024, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 9.615384615384615, | |
| "grad_norm": 0.012979278340935707, | |
| "learning_rate": 5.2071005917159764e-05, | |
| "loss": 0.0024, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 9.615384615384615, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.28174683451652527, | |
| "eval_runtime": 2.5662, | |
| "eval_samples_per_second": 108.33, | |
| "eval_steps_per_second": 13.639, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 9.679487179487179, | |
| "grad_norm": 0.012905549257993698, | |
| "learning_rate": 5.1084812623274167e-05, | |
| "loss": 0.0023, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 9.743589743589745, | |
| "grad_norm": 0.011163388378918171, | |
| "learning_rate": 5.009861932938856e-05, | |
| "loss": 0.0023, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 9.807692307692308, | |
| "grad_norm": 0.012818182818591595, | |
| "learning_rate": 4.9112426035502965e-05, | |
| "loss": 0.0023, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 9.871794871794872, | |
| "grad_norm": 0.012148367241024971, | |
| "learning_rate": 4.812623274161736e-05, | |
| "loss": 0.0023, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 9.935897435897436, | |
| "grad_norm": 0.012448051013052464, | |
| "learning_rate": 4.714003944773176e-05, | |
| "loss": 0.0021, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 0.01428731344640255, | |
| "learning_rate": 4.615384615384616e-05, | |
| "loss": 0.0024, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 10.064102564102564, | |
| "grad_norm": 0.012622198089957237, | |
| "learning_rate": 4.5167652859960554e-05, | |
| "loss": 0.0021, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 10.128205128205128, | |
| "grad_norm": 0.011053148657083511, | |
| "learning_rate": 4.418145956607495e-05, | |
| "loss": 0.0022, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 10.192307692307692, | |
| "grad_norm": 0.010602343827486038, | |
| "learning_rate": 4.319526627218935e-05, | |
| "loss": 0.0022, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 10.256410256410255, | |
| "grad_norm": 0.012038341723382473, | |
| "learning_rate": 4.220907297830375e-05, | |
| "loss": 0.0021, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 10.256410256410255, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.28900742530822754, | |
| "eval_runtime": 3.7223, | |
| "eval_samples_per_second": 74.686, | |
| "eval_steps_per_second": 9.403, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 10.320512820512821, | |
| "grad_norm": 0.010555533692240715, | |
| "learning_rate": 4.122287968441815e-05, | |
| "loss": 0.0022, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 10.384615384615385, | |
| "grad_norm": 0.013419007882475853, | |
| "learning_rate": 4.0236686390532545e-05, | |
| "loss": 0.0023, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 10.448717948717949, | |
| "grad_norm": 0.009542490355670452, | |
| "learning_rate": 3.925049309664695e-05, | |
| "loss": 0.0021, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 10.512820512820513, | |
| "grad_norm": 0.01066176313906908, | |
| "learning_rate": 3.826429980276134e-05, | |
| "loss": 0.0021, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 10.576923076923077, | |
| "grad_norm": 0.009535272605717182, | |
| "learning_rate": 3.7278106508875746e-05, | |
| "loss": 0.002, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 10.64102564102564, | |
| "grad_norm": 0.010441762395203114, | |
| "learning_rate": 3.629191321499014e-05, | |
| "loss": 0.0021, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 10.705128205128204, | |
| "grad_norm": 0.009478352032601833, | |
| "learning_rate": 3.5305719921104544e-05, | |
| "loss": 0.002, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 10.76923076923077, | |
| "grad_norm": 0.009695933200418949, | |
| "learning_rate": 3.431952662721893e-05, | |
| "loss": 0.002, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 10.833333333333334, | |
| "grad_norm": 0.009181487374007702, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.0019, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 10.897435897435898, | |
| "grad_norm": 0.010168403387069702, | |
| "learning_rate": 3.234714003944773e-05, | |
| "loss": 0.002, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 10.897435897435898, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.29342445731163025, | |
| "eval_runtime": 2.6399, | |
| "eval_samples_per_second": 105.306, | |
| "eval_steps_per_second": 13.258, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 10.961538461538462, | |
| "grad_norm": 0.012188075110316277, | |
| "learning_rate": 3.136094674556213e-05, | |
| "loss": 0.0019, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 11.025641025641026, | |
| "grad_norm": 0.01147390529513359, | |
| "learning_rate": 3.037475345167653e-05, | |
| "loss": 0.002, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 11.08974358974359, | |
| "grad_norm": 0.00882646068930626, | |
| "learning_rate": 2.9388560157790928e-05, | |
| "loss": 0.0019, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 11.153846153846153, | |
| "grad_norm": 0.00944901816546917, | |
| "learning_rate": 2.8402366863905327e-05, | |
| "loss": 0.002, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 11.217948717948717, | |
| "grad_norm": 0.009782733395695686, | |
| "learning_rate": 2.7416173570019726e-05, | |
| "loss": 0.0019, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 11.282051282051283, | |
| "grad_norm": 0.008780627511441708, | |
| "learning_rate": 2.6429980276134125e-05, | |
| "loss": 0.0019, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 11.346153846153847, | |
| "grad_norm": 0.011177603155374527, | |
| "learning_rate": 2.5443786982248524e-05, | |
| "loss": 0.0019, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 11.41025641025641, | |
| "grad_norm": 0.009699178859591484, | |
| "learning_rate": 2.445759368836292e-05, | |
| "loss": 0.0018, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 11.474358974358974, | |
| "grad_norm": 0.012270525097846985, | |
| "learning_rate": 2.3471400394477318e-05, | |
| "loss": 0.0019, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 11.538461538461538, | |
| "grad_norm": 0.00872350949794054, | |
| "learning_rate": 2.2485207100591717e-05, | |
| "loss": 0.0019, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 11.538461538461538, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.2975642681121826, | |
| "eval_runtime": 2.6404, | |
| "eval_samples_per_second": 105.285, | |
| "eval_steps_per_second": 13.255, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 11.602564102564102, | |
| "grad_norm": 0.009663211181759834, | |
| "learning_rate": 2.1499013806706113e-05, | |
| "loss": 0.0019, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 11.666666666666666, | |
| "grad_norm": 0.00840259250253439, | |
| "learning_rate": 2.0512820512820512e-05, | |
| "loss": 0.0018, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 11.73076923076923, | |
| "grad_norm": 0.010098517872393131, | |
| "learning_rate": 1.952662721893491e-05, | |
| "loss": 0.0019, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 11.794871794871796, | |
| "grad_norm": 0.013970685191452503, | |
| "learning_rate": 1.854043392504931e-05, | |
| "loss": 0.0019, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 11.85897435897436, | |
| "grad_norm": 0.009059489704668522, | |
| "learning_rate": 1.755424063116371e-05, | |
| "loss": 0.0018, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 11.923076923076923, | |
| "grad_norm": 0.009793447330594063, | |
| "learning_rate": 1.6568047337278108e-05, | |
| "loss": 0.0019, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 11.987179487179487, | |
| "grad_norm": 0.008815682493150234, | |
| "learning_rate": 1.5581854043392503e-05, | |
| "loss": 0.0019, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 12.051282051282051, | |
| "grad_norm": 0.011554540134966373, | |
| "learning_rate": 1.4595660749506904e-05, | |
| "loss": 0.0018, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 12.115384615384615, | |
| "grad_norm": 0.010211811400949955, | |
| "learning_rate": 1.3609467455621303e-05, | |
| "loss": 0.0019, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 12.179487179487179, | |
| "grad_norm": 0.008440189994871616, | |
| "learning_rate": 1.2623274161735702e-05, | |
| "loss": 0.0018, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 12.179487179487179, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.2996102273464203, | |
| "eval_runtime": 3.4755, | |
| "eval_samples_per_second": 79.989, | |
| "eval_steps_per_second": 10.071, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 12.243589743589743, | |
| "grad_norm": 0.010010773316025734, | |
| "learning_rate": 1.16370808678501e-05, | |
| "loss": 0.0018, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 12.307692307692308, | |
| "grad_norm": 0.008343766443431377, | |
| "learning_rate": 1.0650887573964498e-05, | |
| "loss": 0.0017, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 12.371794871794872, | |
| "grad_norm": 0.009077221155166626, | |
| "learning_rate": 9.664694280078896e-06, | |
| "loss": 0.0018, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 12.435897435897436, | |
| "grad_norm": 0.008946426212787628, | |
| "learning_rate": 8.678500986193295e-06, | |
| "loss": 0.0018, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "grad_norm": 0.008481796830892563, | |
| "learning_rate": 7.692307692307694e-06, | |
| "loss": 0.0018, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 12.564102564102564, | |
| "grad_norm": 0.012229247018694878, | |
| "learning_rate": 6.706114398422091e-06, | |
| "loss": 0.0018, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 12.628205128205128, | |
| "grad_norm": 0.009792056865990162, | |
| "learning_rate": 5.71992110453649e-06, | |
| "loss": 0.0019, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 12.692307692307692, | |
| "grad_norm": 0.008133339695632458, | |
| "learning_rate": 4.733727810650888e-06, | |
| "loss": 0.0017, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 12.756410256410255, | |
| "grad_norm": 0.00821082666516304, | |
| "learning_rate": 3.7475345167652858e-06, | |
| "loss": 0.0018, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 12.820512820512821, | |
| "grad_norm": 0.008551714941859245, | |
| "learning_rate": 2.7613412228796843e-06, | |
| "loss": 0.0018, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 12.820512820512821, | |
| "eval_accuracy": 0.9460431654676259, | |
| "eval_loss": 0.3006349802017212, | |
| "eval_runtime": 2.5194, | |
| "eval_samples_per_second": 110.343, | |
| "eval_steps_per_second": 13.892, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 12.884615384615385, | |
| "grad_norm": 0.008309854194521904, | |
| "learning_rate": 1.775147928994083e-06, | |
| "loss": 0.0019, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 12.948717948717949, | |
| "grad_norm": 0.008332509547472, | |
| "learning_rate": 7.889546351084814e-07, | |
| "loss": 0.0017, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "step": 2028, | |
| "total_flos": 2.5134977377120666e+18, | |
| "train_loss": 0.18042536613924515, | |
| "train_runtime": 1249.5195, | |
| "train_samples_per_second": 25.958, | |
| "train_steps_per_second": 1.623 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 2028, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 13, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.5134977377120666e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |