diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13855 @@ +{ + "best_metric": 3.302194118499756, + "best_model_checkpoint": "/scratch/cl5625/exceptions/models/100M__495/checkpoint-90000", + "epoch": 10.0, + "eval_steps": 1000, + "global_step": 92750, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.005390835579514825, + "grad_norm": 0.9464320540428162, + "learning_rate": 0.000276, + "loss": 8.7571, + "step": 50 + }, + { + "epoch": 0.01078167115902965, + "grad_norm": 1.1756318807601929, + "learning_rate": 0.0005759999999999999, + "loss": 7.0078, + "step": 100 + }, + { + "epoch": 0.016172506738544475, + "grad_norm": 1.551442265510559, + "learning_rate": 0.000599702104695089, + "loss": 6.6048, + "step": 150 + }, + { + "epoch": 0.0215633423180593, + "grad_norm": 0.7034249901771545, + "learning_rate": 0.0005993783054506205, + "loss": 6.3332, + "step": 200 + }, + { + "epoch": 0.026954177897574125, + "grad_norm": 1.0177743434906006, + "learning_rate": 0.0005990545062061521, + "loss": 6.1389, + "step": 250 + }, + { + "epoch": 0.03234501347708895, + "grad_norm": 1.3281992673873901, + "learning_rate": 0.0005987307069616836, + "loss": 6.0274, + "step": 300 + }, + { + "epoch": 0.03773584905660377, + "grad_norm": 1.3769625425338745, + "learning_rate": 0.0005984069077172153, + "loss": 5.9227, + "step": 350 + }, + { + "epoch": 0.0431266846361186, + "grad_norm": 1.3584883213043213, + "learning_rate": 0.0005980831084727469, + "loss": 5.8655, + "step": 400 + }, + { + "epoch": 0.04851752021563342, + "grad_norm": 0.9795990586280823, + "learning_rate": 0.0005977593092282784, + "loss": 5.78, + "step": 450 + }, + { + "epoch": 0.05390835579514825, + "grad_norm": 1.4081448316574097, + "learning_rate": 0.00059743550998381, + "loss": 5.7304, + "step": 500 + }, + { + "epoch": 0.05929919137466307, + "grad_norm": 1.7430726289749146, + "learning_rate": 0.0005971117107393416, + "loss": 5.6254, + "step": 550 + }, + { + "epoch": 0.0646900269541779, + "grad_norm": 1.4288103580474854, + "learning_rate": 0.0005967879114948732, + "loss": 5.5997, + "step": 600 + }, + { + "epoch": 0.07008086253369272, + "grad_norm": 0.9352820515632629, + "learning_rate": 0.0005964641122504047, + "loss": 5.5009, + "step": 650 + }, + { + "epoch": 0.07547169811320754, + "grad_norm": 1.0235956907272339, + "learning_rate": 0.0005961403130059363, + "loss": 5.4834, + "step": 700 + }, + { + "epoch": 0.08086253369272237, + "grad_norm": 1.1283656358718872, + "learning_rate": 0.0005958165137614678, + "loss": 5.4096, + "step": 750 + }, + { + "epoch": 0.0862533692722372, + "grad_norm": 1.1757662296295166, + "learning_rate": 0.0005954927145169995, + "loss": 5.3508, + "step": 800 + }, + { + "epoch": 0.09164420485175202, + "grad_norm": 1.2652894258499146, + "learning_rate": 0.0005951689152725309, + "loss": 5.3137, + "step": 850 + }, + { + "epoch": 0.09703504043126684, + "grad_norm": 0.8220955729484558, + "learning_rate": 0.0005948451160280626, + "loss": 5.234, + "step": 900 + }, + { + "epoch": 0.10242587601078167, + "grad_norm": 1.0178474187850952, + "learning_rate": 0.0005945213167835941, + "loss": 5.2211, + "step": 950 + }, + { + "epoch": 0.1078167115902965, + "grad_norm": 1.0003489255905151, + "learning_rate": 0.0005941975175391257, + "loss": 5.1665, + "step": 1000 + }, + { + "epoch": 0.1078167115902965, + "eval_accuracy": 0.2206364212520268, + "eval_loss": 5.09123420715332, + "eval_runtime": 146.3271, + "eval_samples_per_second": 123.087, + "eval_steps_per_second": 7.695, + "step": 1000 + }, + { + "epoch": 0.11320754716981132, + "grad_norm": 1.0129122734069824, + "learning_rate": 0.0005938737182946572, + "loss": 5.1253, + "step": 1050 + }, + { + "epoch": 0.11859838274932614, + "grad_norm": 1.2447277307510376, + "learning_rate": 0.0005935499190501888, + "loss": 5.0843, + "step": 1100 + }, + { + "epoch": 0.12398921832884097, + "grad_norm": 1.1244721412658691, + "learning_rate": 0.0005932261198057204, + "loss": 5.0632, + "step": 1150 + }, + { + "epoch": 0.1293800539083558, + "grad_norm": 1.0002185106277466, + "learning_rate": 0.000592902320561252, + "loss": 5.0409, + "step": 1200 + }, + { + "epoch": 0.1347708894878706, + "grad_norm": 1.237203598022461, + "learning_rate": 0.0005925785213167835, + "loss": 5.0158, + "step": 1250 + }, + { + "epoch": 0.14016172506738545, + "grad_norm": 0.9483816623687744, + "learning_rate": 0.0005922547220723151, + "loss": 4.9578, + "step": 1300 + }, + { + "epoch": 0.14555256064690028, + "grad_norm": 1.1492619514465332, + "learning_rate": 0.0005919309228278468, + "loss": 4.9422, + "step": 1350 + }, + { + "epoch": 0.1509433962264151, + "grad_norm": 0.8103901743888855, + "learning_rate": 0.0005916071235833783, + "loss": 4.9161, + "step": 1400 + }, + { + "epoch": 0.15633423180592992, + "grad_norm": 0.9849348068237305, + "learning_rate": 0.0005912833243389097, + "loss": 4.8937, + "step": 1450 + }, + { + "epoch": 0.16172506738544473, + "grad_norm": 1.0992136001586914, + "learning_rate": 0.0005909595250944414, + "loss": 4.8771, + "step": 1500 + }, + { + "epoch": 0.16711590296495957, + "grad_norm": 0.7955754995346069, + "learning_rate": 0.000590635725849973, + "loss": 4.8337, + "step": 1550 + }, + { + "epoch": 0.1725067385444744, + "grad_norm": 0.8510985970497131, + "learning_rate": 0.0005903119266055045, + "loss": 4.8487, + "step": 1600 + }, + { + "epoch": 0.1778975741239892, + "grad_norm": 0.8423263430595398, + "learning_rate": 0.0005899881273610361, + "loss": 4.8251, + "step": 1650 + }, + { + "epoch": 0.18328840970350405, + "grad_norm": 0.8307051658630371, + "learning_rate": 0.0005896643281165677, + "loss": 4.7528, + "step": 1700 + }, + { + "epoch": 0.18867924528301888, + "grad_norm": 1.171060562133789, + "learning_rate": 0.0005893405288720993, + "loss": 4.7617, + "step": 1750 + }, + { + "epoch": 0.1940700808625337, + "grad_norm": 1.0469765663146973, + "learning_rate": 0.0005890167296276308, + "loss": 4.7597, + "step": 1800 + }, + { + "epoch": 0.19946091644204852, + "grad_norm": 0.8637204170227051, + "learning_rate": 0.0005886929303831624, + "loss": 4.7128, + "step": 1850 + }, + { + "epoch": 0.20485175202156333, + "grad_norm": 0.9173099398612976, + "learning_rate": 0.0005883691311386939, + "loss": 4.7067, + "step": 1900 + }, + { + "epoch": 0.21024258760107817, + "grad_norm": 0.9003922343254089, + "learning_rate": 0.0005880453318942256, + "loss": 4.6783, + "step": 1950 + }, + { + "epoch": 0.215633423180593, + "grad_norm": 0.9870163798332214, + "learning_rate": 0.0005877215326497571, + "loss": 4.6555, + "step": 2000 + }, + { + "epoch": 0.215633423180593, + "eval_accuracy": 0.260708366848222, + "eval_loss": 4.6007513999938965, + "eval_runtime": 144.747, + "eval_samples_per_second": 124.431, + "eval_steps_per_second": 7.779, + "step": 2000 + }, + { + "epoch": 0.2210242587601078, + "grad_norm": 0.8778396248817444, + "learning_rate": 0.0005873977334052887, + "loss": 4.6696, + "step": 2050 + }, + { + "epoch": 0.22641509433962265, + "grad_norm": 0.8375086188316345, + "learning_rate": 0.0005870739341608202, + "loss": 4.6395, + "step": 2100 + }, + { + "epoch": 0.23180592991913745, + "grad_norm": 0.8078502416610718, + "learning_rate": 0.0005867501349163519, + "loss": 4.5823, + "step": 2150 + }, + { + "epoch": 0.2371967654986523, + "grad_norm": 0.8603857755661011, + "learning_rate": 0.0005864263356718833, + "loss": 4.6175, + "step": 2200 + }, + { + "epoch": 0.24258760107816713, + "grad_norm": 0.8307099342346191, + "learning_rate": 0.000586102536427415, + "loss": 4.5541, + "step": 2250 + }, + { + "epoch": 0.24797843665768193, + "grad_norm": 1.0236228704452515, + "learning_rate": 0.0005857787371829465, + "loss": 4.5368, + "step": 2300 + }, + { + "epoch": 0.25336927223719674, + "grad_norm": 0.9307533502578735, + "learning_rate": 0.0005854549379384781, + "loss": 4.5326, + "step": 2350 + }, + { + "epoch": 0.2587601078167116, + "grad_norm": 1.4191182851791382, + "learning_rate": 0.0005851311386940096, + "loss": 4.5253, + "step": 2400 + }, + { + "epoch": 0.2641509433962264, + "grad_norm": 1.015572428703308, + "learning_rate": 0.0005848073394495412, + "loss": 4.5272, + "step": 2450 + }, + { + "epoch": 0.2695417789757412, + "grad_norm": 0.8903120756149292, + "learning_rate": 0.0005844835402050728, + "loss": 4.5219, + "step": 2500 + }, + { + "epoch": 0.2749326145552561, + "grad_norm": 1.0123368501663208, + "learning_rate": 0.0005841597409606044, + "loss": 4.4772, + "step": 2550 + }, + { + "epoch": 0.2803234501347709, + "grad_norm": 0.925151526927948, + "learning_rate": 0.000583835941716136, + "loss": 4.4624, + "step": 2600 + }, + { + "epoch": 0.2857142857142857, + "grad_norm": 1.1478705406188965, + "learning_rate": 0.0005835121424716675, + "loss": 4.4605, + "step": 2650 + }, + { + "epoch": 0.29110512129380056, + "grad_norm": 1.0130943059921265, + "learning_rate": 0.0005831883432271992, + "loss": 4.4529, + "step": 2700 + }, + { + "epoch": 0.29649595687331537, + "grad_norm": 0.991671621799469, + "learning_rate": 0.0005828645439827307, + "loss": 4.4101, + "step": 2750 + }, + { + "epoch": 0.3018867924528302, + "grad_norm": 0.8699747323989868, + "learning_rate": 0.0005825407447382622, + "loss": 4.4505, + "step": 2800 + }, + { + "epoch": 0.30727762803234504, + "grad_norm": 1.0381041765213013, + "learning_rate": 0.0005822169454937938, + "loss": 4.4171, + "step": 2850 + }, + { + "epoch": 0.31266846361185985, + "grad_norm": 1.0296149253845215, + "learning_rate": 0.0005818931462493254, + "loss": 4.4014, + "step": 2900 + }, + { + "epoch": 0.31805929919137466, + "grad_norm": 0.9270951747894287, + "learning_rate": 0.0005815693470048569, + "loss": 4.3968, + "step": 2950 + }, + { + "epoch": 0.32345013477088946, + "grad_norm": 0.7531670331954956, + "learning_rate": 0.0005812455477603885, + "loss": 4.3901, + "step": 3000 + }, + { + "epoch": 0.32345013477088946, + "eval_accuracy": 0.29159338482103947, + "eval_loss": 4.296316146850586, + "eval_runtime": 144.5889, + "eval_samples_per_second": 124.567, + "eval_steps_per_second": 7.788, + "step": 3000 + }, + { + "epoch": 0.3288409703504043, + "grad_norm": 0.8791877627372742, + "learning_rate": 0.0005809217485159201, + "loss": 4.3683, + "step": 3050 + }, + { + "epoch": 0.33423180592991913, + "grad_norm": 0.843708872795105, + "learning_rate": 0.0005805979492714517, + "loss": 4.3643, + "step": 3100 + }, + { + "epoch": 0.33962264150943394, + "grad_norm": 0.8123868703842163, + "learning_rate": 0.0005802741500269832, + "loss": 4.3262, + "step": 3150 + }, + { + "epoch": 0.3450134770889488, + "grad_norm": 0.9056026339530945, + "learning_rate": 0.0005799503507825148, + "loss": 4.3298, + "step": 3200 + }, + { + "epoch": 0.3504043126684636, + "grad_norm": 0.6567044854164124, + "learning_rate": 0.0005796265515380463, + "loss": 4.306, + "step": 3250 + }, + { + "epoch": 0.3557951482479784, + "grad_norm": 0.9095497131347656, + "learning_rate": 0.000579302752293578, + "loss": 4.328, + "step": 3300 + }, + { + "epoch": 0.3611859838274933, + "grad_norm": 0.8091392517089844, + "learning_rate": 0.0005789789530491095, + "loss": 4.3044, + "step": 3350 + }, + { + "epoch": 0.3665768194070081, + "grad_norm": 0.9594192504882812, + "learning_rate": 0.0005786551538046411, + "loss": 4.2963, + "step": 3400 + }, + { + "epoch": 0.3719676549865229, + "grad_norm": 0.72095787525177, + "learning_rate": 0.0005783313545601726, + "loss": 4.2802, + "step": 3450 + }, + { + "epoch": 0.37735849056603776, + "grad_norm": 0.7558978199958801, + "learning_rate": 0.0005780075553157043, + "loss": 4.2589, + "step": 3500 + }, + { + "epoch": 0.38274932614555257, + "grad_norm": 0.7811341881752014, + "learning_rate": 0.0005776837560712357, + "loss": 4.264, + "step": 3550 + }, + { + "epoch": 0.3881401617250674, + "grad_norm": 0.9022195935249329, + "learning_rate": 0.0005773599568267673, + "loss": 4.2651, + "step": 3600 + }, + { + "epoch": 0.3935309973045822, + "grad_norm": 0.9639933109283447, + "learning_rate": 0.0005770361575822989, + "loss": 4.2789, + "step": 3650 + }, + { + "epoch": 0.39892183288409705, + "grad_norm": 0.9333063960075378, + "learning_rate": 0.0005767123583378305, + "loss": 4.24, + "step": 3700 + }, + { + "epoch": 0.40431266846361186, + "grad_norm": 0.7508504986763, + "learning_rate": 0.000576388559093362, + "loss": 4.2359, + "step": 3750 + }, + { + "epoch": 0.40970350404312667, + "grad_norm": 0.7458257079124451, + "learning_rate": 0.0005760647598488936, + "loss": 4.2555, + "step": 3800 + }, + { + "epoch": 0.41509433962264153, + "grad_norm": 0.7919742465019226, + "learning_rate": 0.0005757409606044253, + "loss": 4.2366, + "step": 3850 + }, + { + "epoch": 0.42048517520215634, + "grad_norm": 0.9453123211860657, + "learning_rate": 0.0005754171613599568, + "loss": 4.2055, + "step": 3900 + }, + { + "epoch": 0.42587601078167114, + "grad_norm": 0.6152997612953186, + "learning_rate": 0.0005750933621154884, + "loss": 4.201, + "step": 3950 + }, + { + "epoch": 0.431266846361186, + "grad_norm": 0.8247600197792053, + "learning_rate": 0.0005747695628710199, + "loss": 4.2075, + "step": 4000 + }, + { + "epoch": 0.431266846361186, + "eval_accuracy": 0.30819272110400897, + "eval_loss": 4.134169101715088, + "eval_runtime": 144.6112, + "eval_samples_per_second": 124.548, + "eval_steps_per_second": 7.786, + "step": 4000 + }, + { + "epoch": 0.4366576819407008, + "grad_norm": 0.8243815898895264, + "learning_rate": 0.0005744457636265515, + "loss": 4.2068, + "step": 4050 + }, + { + "epoch": 0.4420485175202156, + "grad_norm": 0.6849672794342041, + "learning_rate": 0.0005741219643820831, + "loss": 4.2091, + "step": 4100 + }, + { + "epoch": 0.4474393530997305, + "grad_norm": 0.7505493760108948, + "learning_rate": 0.0005737981651376146, + "loss": 4.193, + "step": 4150 + }, + { + "epoch": 0.4528301886792453, + "grad_norm": 0.6466169953346252, + "learning_rate": 0.0005734743658931462, + "loss": 4.1829, + "step": 4200 + }, + { + "epoch": 0.4582210242587601, + "grad_norm": 0.5937972664833069, + "learning_rate": 0.0005731505666486778, + "loss": 4.1738, + "step": 4250 + }, + { + "epoch": 0.4636118598382749, + "grad_norm": 0.7906216979026794, + "learning_rate": 0.0005728267674042093, + "loss": 4.1668, + "step": 4300 + }, + { + "epoch": 0.46900269541778977, + "grad_norm": 0.744433581829071, + "learning_rate": 0.0005725029681597409, + "loss": 4.1723, + "step": 4350 + }, + { + "epoch": 0.4743935309973046, + "grad_norm": 0.8073228597640991, + "learning_rate": 0.0005721791689152725, + "loss": 4.158, + "step": 4400 + }, + { + "epoch": 0.4797843665768194, + "grad_norm": 0.8262885808944702, + "learning_rate": 0.0005718553696708041, + "loss": 4.1602, + "step": 4450 + }, + { + "epoch": 0.48517520215633425, + "grad_norm": 0.6594825387001038, + "learning_rate": 0.0005715315704263356, + "loss": 4.1434, + "step": 4500 + }, + { + "epoch": 0.49056603773584906, + "grad_norm": 0.6674824357032776, + "learning_rate": 0.0005712077711818672, + "loss": 4.1315, + "step": 4550 + }, + { + "epoch": 0.49595687331536387, + "grad_norm": 0.7260637879371643, + "learning_rate": 0.0005708839719373987, + "loss": 4.1407, + "step": 4600 + }, + { + "epoch": 0.5013477088948787, + "grad_norm": 0.6827527284622192, + "learning_rate": 0.0005705601726929304, + "loss": 4.1196, + "step": 4650 + }, + { + "epoch": 0.5067385444743935, + "grad_norm": 0.774723470211029, + "learning_rate": 0.0005702363734484619, + "loss": 4.1256, + "step": 4700 + }, + { + "epoch": 0.5121293800539084, + "grad_norm": 0.6491437554359436, + "learning_rate": 0.0005699125742039935, + "loss": 4.1063, + "step": 4750 + }, + { + "epoch": 0.5175202156334232, + "grad_norm": 0.7277990579605103, + "learning_rate": 0.000569588774959525, + "loss": 4.1197, + "step": 4800 + }, + { + "epoch": 0.522911051212938, + "grad_norm": 0.6551647782325745, + "learning_rate": 0.0005692649757150567, + "loss": 4.1135, + "step": 4850 + }, + { + "epoch": 0.5283018867924528, + "grad_norm": 0.7088435292243958, + "learning_rate": 0.0005689411764705881, + "loss": 4.1188, + "step": 4900 + }, + { + "epoch": 0.5336927223719676, + "grad_norm": 0.7585951089859009, + "learning_rate": 0.0005686173772261197, + "loss": 4.0928, + "step": 4950 + }, + { + "epoch": 0.5390835579514824, + "grad_norm": 0.673933744430542, + "learning_rate": 0.0005682935779816514, + "loss": 4.0819, + "step": 5000 + }, + { + "epoch": 0.5390835579514824, + "eval_accuracy": 0.31859362744293795, + "eval_loss": 4.022838115692139, + "eval_runtime": 144.8217, + "eval_samples_per_second": 124.367, + "eval_steps_per_second": 7.775, + "step": 5000 + }, + { + "epoch": 0.5444743935309974, + "grad_norm": 0.617730438709259, + "learning_rate": 0.0005679697787371829, + "loss": 4.0793, + "step": 5050 + }, + { + "epoch": 0.5498652291105122, + "grad_norm": 0.6957946419715881, + "learning_rate": 0.0005676459794927145, + "loss": 4.0821, + "step": 5100 + }, + { + "epoch": 0.555256064690027, + "grad_norm": 0.6225258708000183, + "learning_rate": 0.000567322180248246, + "loss": 4.0873, + "step": 5150 + }, + { + "epoch": 0.5606469002695418, + "grad_norm": 0.6864507794380188, + "learning_rate": 0.0005669983810037777, + "loss": 4.0634, + "step": 5200 + }, + { + "epoch": 0.5660377358490566, + "grad_norm": 0.642590343952179, + "learning_rate": 0.0005666745817593092, + "loss": 4.0649, + "step": 5250 + }, + { + "epoch": 0.5714285714285714, + "grad_norm": 0.614847719669342, + "learning_rate": 0.0005663507825148408, + "loss": 4.0476, + "step": 5300 + }, + { + "epoch": 0.5768194070080862, + "grad_norm": 0.7870457768440247, + "learning_rate": 0.0005660269832703723, + "loss": 4.063, + "step": 5350 + }, + { + "epoch": 0.5822102425876011, + "grad_norm": 0.6789854764938354, + "learning_rate": 0.0005657031840259039, + "loss": 4.0518, + "step": 5400 + }, + { + "epoch": 0.5876010781671159, + "grad_norm": 0.6867729425430298, + "learning_rate": 0.0005653793847814355, + "loss": 4.0614, + "step": 5450 + }, + { + "epoch": 0.5929919137466307, + "grad_norm": 0.5899894833564758, + "learning_rate": 0.000565055585536967, + "loss": 4.0639, + "step": 5500 + }, + { + "epoch": 0.5983827493261455, + "grad_norm": 0.6574368476867676, + "learning_rate": 0.0005647317862924986, + "loss": 4.067, + "step": 5550 + }, + { + "epoch": 0.6037735849056604, + "grad_norm": 0.7431745529174805, + "learning_rate": 0.0005644079870480302, + "loss": 4.0425, + "step": 5600 + }, + { + "epoch": 0.6091644204851752, + "grad_norm": 0.6241595149040222, + "learning_rate": 0.0005640841878035617, + "loss": 4.0319, + "step": 5650 + }, + { + "epoch": 0.6145552560646901, + "grad_norm": 0.6736788749694824, + "learning_rate": 0.0005637603885590933, + "loss": 4.0366, + "step": 5700 + }, + { + "epoch": 0.6199460916442049, + "grad_norm": 0.6149032711982727, + "learning_rate": 0.0005634365893146248, + "loss": 4.0495, + "step": 5750 + }, + { + "epoch": 0.6253369272237197, + "grad_norm": 0.6543477177619934, + "learning_rate": 0.0005631127900701565, + "loss": 4.042, + "step": 5800 + }, + { + "epoch": 0.6307277628032345, + "grad_norm": 0.6215724945068359, + "learning_rate": 0.000562788990825688, + "loss": 4.0478, + "step": 5850 + }, + { + "epoch": 0.6361185983827493, + "grad_norm": 0.6606348752975464, + "learning_rate": 0.0005624651915812196, + "loss": 4.0192, + "step": 5900 + }, + { + "epoch": 0.6415094339622641, + "grad_norm": 0.7944669723510742, + "learning_rate": 0.0005621413923367511, + "loss": 4.012, + "step": 5950 + }, + { + "epoch": 0.6469002695417789, + "grad_norm": 0.6075884699821472, + "learning_rate": 0.0005618175930922828, + "loss": 4.0201, + "step": 6000 + }, + { + "epoch": 0.6469002695417789, + "eval_accuracy": 0.3257018080166491, + "eval_loss": 3.940925359725952, + "eval_runtime": 144.8645, + "eval_samples_per_second": 124.33, + "eval_steps_per_second": 7.773, + "step": 6000 + }, + { + "epoch": 0.6522911051212938, + "grad_norm": 0.7395045757293701, + "learning_rate": 0.0005614937938478143, + "loss": 3.9927, + "step": 6050 + }, + { + "epoch": 0.6576819407008087, + "grad_norm": 0.69764643907547, + "learning_rate": 0.0005611699946033459, + "loss": 4.0252, + "step": 6100 + }, + { + "epoch": 0.6630727762803235, + "grad_norm": 0.5907176733016968, + "learning_rate": 0.0005608461953588774, + "loss": 4.0071, + "step": 6150 + }, + { + "epoch": 0.6684636118598383, + "grad_norm": 0.7374498248100281, + "learning_rate": 0.000560522396114409, + "loss": 3.9854, + "step": 6200 + }, + { + "epoch": 0.6738544474393531, + "grad_norm": 0.5937222838401794, + "learning_rate": 0.0005601985968699405, + "loss": 4.003, + "step": 6250 + }, + { + "epoch": 0.6792452830188679, + "grad_norm": 0.6928643584251404, + "learning_rate": 0.0005598747976254721, + "loss": 4.022, + "step": 6300 + }, + { + "epoch": 0.6846361185983828, + "grad_norm": 0.6832301020622253, + "learning_rate": 0.0005595509983810038, + "loss": 3.9816, + "step": 6350 + }, + { + "epoch": 0.6900269541778976, + "grad_norm": 0.6227492690086365, + "learning_rate": 0.0005592271991365353, + "loss": 3.9855, + "step": 6400 + }, + { + "epoch": 0.6954177897574124, + "grad_norm": 0.6595360636711121, + "learning_rate": 0.0005589033998920669, + "loss": 3.9733, + "step": 6450 + }, + { + "epoch": 0.7008086253369272, + "grad_norm": 0.6538481116294861, + "learning_rate": 0.0005585796006475984, + "loss": 3.9867, + "step": 6500 + }, + { + "epoch": 0.706199460916442, + "grad_norm": 0.6099511384963989, + "learning_rate": 0.0005582558014031301, + "loss": 4.009, + "step": 6550 + }, + { + "epoch": 0.7115902964959568, + "grad_norm": 0.5673043131828308, + "learning_rate": 0.0005579320021586616, + "loss": 3.9638, + "step": 6600 + }, + { + "epoch": 0.7169811320754716, + "grad_norm": 0.7762152552604675, + "learning_rate": 0.0005576082029141932, + "loss": 3.9942, + "step": 6650 + }, + { + "epoch": 0.7223719676549866, + "grad_norm": 0.6117172241210938, + "learning_rate": 0.0005572844036697247, + "loss": 3.9672, + "step": 6700 + }, + { + "epoch": 0.7277628032345014, + "grad_norm": 0.6088191866874695, + "learning_rate": 0.0005569606044252563, + "loss": 3.9738, + "step": 6750 + }, + { + "epoch": 0.7331536388140162, + "grad_norm": 0.6414440274238586, + "learning_rate": 0.0005566368051807879, + "loss": 3.9641, + "step": 6800 + }, + { + "epoch": 0.738544474393531, + "grad_norm": 0.8121737241744995, + "learning_rate": 0.0005563130059363194, + "loss": 3.9423, + "step": 6850 + }, + { + "epoch": 0.7439353099730458, + "grad_norm": 0.7500906586647034, + "learning_rate": 0.000555989206691851, + "loss": 3.9677, + "step": 6900 + }, + { + "epoch": 0.7493261455525606, + "grad_norm": 0.6089574694633484, + "learning_rate": 0.0005556654074473826, + "loss": 3.9647, + "step": 6950 + }, + { + "epoch": 0.7547169811320755, + "grad_norm": 0.7751880288124084, + "learning_rate": 0.0005553416082029141, + "loss": 3.9519, + "step": 7000 + }, + { + "epoch": 0.7547169811320755, + "eval_accuracy": 0.3312385418738994, + "eval_loss": 3.88531494140625, + "eval_runtime": 144.5963, + "eval_samples_per_second": 124.561, + "eval_steps_per_second": 7.787, + "step": 7000 + }, + { + "epoch": 0.7601078167115903, + "grad_norm": 0.6487019658088684, + "learning_rate": 0.0005550178089584457, + "loss": 3.9428, + "step": 7050 + }, + { + "epoch": 0.7654986522911051, + "grad_norm": 0.6093623638153076, + "learning_rate": 0.0005546940097139772, + "loss": 3.9544, + "step": 7100 + }, + { + "epoch": 0.77088948787062, + "grad_norm": 0.5531768798828125, + "learning_rate": 0.0005543702104695089, + "loss": 3.9569, + "step": 7150 + }, + { + "epoch": 0.7762803234501348, + "grad_norm": 0.6401906609535217, + "learning_rate": 0.0005540464112250404, + "loss": 3.9564, + "step": 7200 + }, + { + "epoch": 0.7816711590296496, + "grad_norm": 0.5921440720558167, + "learning_rate": 0.000553722611980572, + "loss": 3.9108, + "step": 7250 + }, + { + "epoch": 0.7870619946091644, + "grad_norm": 0.6791409254074097, + "learning_rate": 0.0005533988127361035, + "loss": 3.9488, + "step": 7300 + }, + { + "epoch": 0.7924528301886793, + "grad_norm": 0.6472693681716919, + "learning_rate": 0.0005530750134916352, + "loss": 3.9341, + "step": 7350 + }, + { + "epoch": 0.7978436657681941, + "grad_norm": 0.6375269889831543, + "learning_rate": 0.0005527512142471668, + "loss": 3.9339, + "step": 7400 + }, + { + "epoch": 0.8032345013477089, + "grad_norm": 0.626977264881134, + "learning_rate": 0.0005524274150026982, + "loss": 3.9247, + "step": 7450 + }, + { + "epoch": 0.8086253369272237, + "grad_norm": 0.696706235408783, + "learning_rate": 0.0005521036157582299, + "loss": 3.9116, + "step": 7500 + }, + { + "epoch": 0.8140161725067385, + "grad_norm": 0.594398558139801, + "learning_rate": 0.0005517798165137614, + "loss": 3.9356, + "step": 7550 + }, + { + "epoch": 0.8194070080862533, + "grad_norm": 0.6184767484664917, + "learning_rate": 0.000551456017269293, + "loss": 3.9384, + "step": 7600 + }, + { + "epoch": 0.8247978436657682, + "grad_norm": 0.5797574520111084, + "learning_rate": 0.0005511322180248245, + "loss": 3.9149, + "step": 7650 + }, + { + "epoch": 0.8301886792452831, + "grad_norm": 0.5616925954818726, + "learning_rate": 0.0005508084187803562, + "loss": 3.9173, + "step": 7700 + }, + { + "epoch": 0.8355795148247979, + "grad_norm": 0.6098619103431702, + "learning_rate": 0.0005504846195358877, + "loss": 3.8999, + "step": 7750 + }, + { + "epoch": 0.8409703504043127, + "grad_norm": 0.6354513764381409, + "learning_rate": 0.0005501608202914193, + "loss": 3.9284, + "step": 7800 + }, + { + "epoch": 0.8463611859838275, + "grad_norm": 0.6673269867897034, + "learning_rate": 0.0005498370210469508, + "loss": 3.909, + "step": 7850 + }, + { + "epoch": 0.8517520215633423, + "grad_norm": 0.539669930934906, + "learning_rate": 0.0005495132218024824, + "loss": 3.9074, + "step": 7900 + }, + { + "epoch": 0.8571428571428571, + "grad_norm": 0.618360161781311, + "learning_rate": 0.000549189422558014, + "loss": 3.9046, + "step": 7950 + }, + { + "epoch": 0.862533692722372, + "grad_norm": 0.6503387689590454, + "learning_rate": 0.0005488656233135456, + "loss": 3.8917, + "step": 8000 + }, + { + "epoch": 0.862533692722372, + "eval_accuracy": 0.33594255999893957, + "eval_loss": 3.8360989093780518, + "eval_runtime": 144.8786, + "eval_samples_per_second": 124.318, + "eval_steps_per_second": 7.772, + "step": 8000 + }, + { + "epoch": 0.8679245283018868, + "grad_norm": 0.6546068787574768, + "learning_rate": 0.0005485418240690771, + "loss": 3.9022, + "step": 8050 + }, + { + "epoch": 0.8733153638814016, + "grad_norm": 0.6453102231025696, + "learning_rate": 0.0005482180248246087, + "loss": 3.8843, + "step": 8100 + }, + { + "epoch": 0.8787061994609164, + "grad_norm": 0.5534443259239197, + "learning_rate": 0.0005478942255801403, + "loss": 3.8988, + "step": 8150 + }, + { + "epoch": 0.8840970350404312, + "grad_norm": 0.6230263113975525, + "learning_rate": 0.0005475704263356718, + "loss": 3.8879, + "step": 8200 + }, + { + "epoch": 0.889487870619946, + "grad_norm": 0.6733997464179993, + "learning_rate": 0.0005472466270912034, + "loss": 3.8729, + "step": 8250 + }, + { + "epoch": 0.894878706199461, + "grad_norm": 0.6633635759353638, + "learning_rate": 0.000546922827846735, + "loss": 3.8991, + "step": 8300 + }, + { + "epoch": 0.9002695417789758, + "grad_norm": 0.6503227949142456, + "learning_rate": 0.0005465990286022665, + "loss": 3.8792, + "step": 8350 + }, + { + "epoch": 0.9056603773584906, + "grad_norm": 0.7666671276092529, + "learning_rate": 0.0005462752293577981, + "loss": 3.8944, + "step": 8400 + }, + { + "epoch": 0.9110512129380054, + "grad_norm": 0.6036889553070068, + "learning_rate": 0.0005459514301133296, + "loss": 3.9057, + "step": 8450 + }, + { + "epoch": 0.9164420485175202, + "grad_norm": 0.6154916882514954, + "learning_rate": 0.0005456276308688613, + "loss": 3.894, + "step": 8500 + }, + { + "epoch": 0.921832884097035, + "grad_norm": 0.5653623938560486, + "learning_rate": 0.0005453038316243929, + "loss": 3.8763, + "step": 8550 + }, + { + "epoch": 0.9272237196765498, + "grad_norm": 0.5695276856422424, + "learning_rate": 0.0005449800323799244, + "loss": 3.8709, + "step": 8600 + }, + { + "epoch": 0.9326145552560647, + "grad_norm": 0.5406414270401001, + "learning_rate": 0.000544656233135456, + "loss": 3.8623, + "step": 8650 + }, + { + "epoch": 0.9380053908355795, + "grad_norm": 0.5876409411430359, + "learning_rate": 0.0005443324338909875, + "loss": 3.867, + "step": 8700 + }, + { + "epoch": 0.9433962264150944, + "grad_norm": 0.5680667757987976, + "learning_rate": 0.0005440086346465192, + "loss": 3.8691, + "step": 8750 + }, + { + "epoch": 0.9487870619946092, + "grad_norm": 0.5708035230636597, + "learning_rate": 0.0005436848354020506, + "loss": 3.8589, + "step": 8800 + }, + { + "epoch": 0.954177897574124, + "grad_norm": 0.5115900635719299, + "learning_rate": 0.0005433610361575823, + "loss": 3.8488, + "step": 8850 + }, + { + "epoch": 0.9595687331536388, + "grad_norm": 0.6006278395652771, + "learning_rate": 0.0005430372369131138, + "loss": 3.8652, + "step": 8900 + }, + { + "epoch": 0.9649595687331537, + "grad_norm": 0.6494414210319519, + "learning_rate": 0.0005427134376686454, + "loss": 3.8716, + "step": 8950 + }, + { + "epoch": 0.9703504043126685, + "grad_norm": 0.5888278484344482, + "learning_rate": 0.0005423896384241769, + "loss": 3.8592, + "step": 9000 + }, + { + "epoch": 0.9703504043126685, + "eval_accuracy": 0.34041004078720755, + "eval_loss": 3.7949342727661133, + "eval_runtime": 144.616, + "eval_samples_per_second": 124.544, + "eval_steps_per_second": 7.786, + "step": 9000 + }, + { + "epoch": 0.9757412398921833, + "grad_norm": 0.5697623491287231, + "learning_rate": 0.0005420658391797086, + "loss": 3.855, + "step": 9050 + }, + { + "epoch": 0.9811320754716981, + "grad_norm": 0.6447634696960449, + "learning_rate": 0.0005417420399352401, + "loss": 3.866, + "step": 9100 + }, + { + "epoch": 0.9865229110512129, + "grad_norm": 0.583088219165802, + "learning_rate": 0.0005414182406907717, + "loss": 3.8415, + "step": 9150 + }, + { + "epoch": 0.9919137466307277, + "grad_norm": 0.5796465277671814, + "learning_rate": 0.0005410944414463032, + "loss": 3.8376, + "step": 9200 + }, + { + "epoch": 0.9973045822102425, + "grad_norm": 0.6316399574279785, + "learning_rate": 0.0005407706422018348, + "loss": 3.8524, + "step": 9250 + }, + { + "epoch": 1.0026954177897573, + "grad_norm": 0.5727218389511108, + "learning_rate": 0.0005404468429573664, + "loss": 3.8268, + "step": 9300 + }, + { + "epoch": 1.0080862533692723, + "grad_norm": 0.5713456869125366, + "learning_rate": 0.000540123043712898, + "loss": 3.7921, + "step": 9350 + }, + { + "epoch": 1.013477088948787, + "grad_norm": 0.6198617815971375, + "learning_rate": 0.0005397992444684295, + "loss": 3.7876, + "step": 9400 + }, + { + "epoch": 1.0188679245283019, + "grad_norm": 0.5770072937011719, + "learning_rate": 0.0005394754452239611, + "loss": 3.7856, + "step": 9450 + }, + { + "epoch": 1.0242587601078168, + "grad_norm": 0.5920796990394592, + "learning_rate": 0.0005391516459794927, + "loss": 3.7855, + "step": 9500 + }, + { + "epoch": 1.0296495956873315, + "grad_norm": 0.5636431574821472, + "learning_rate": 0.0005388278467350242, + "loss": 3.7857, + "step": 9550 + }, + { + "epoch": 1.0350404312668464, + "grad_norm": 0.669791579246521, + "learning_rate": 0.0005385040474905557, + "loss": 3.7723, + "step": 9600 + }, + { + "epoch": 1.0404312668463611, + "grad_norm": 0.6635991930961609, + "learning_rate": 0.0005381802482460874, + "loss": 3.8142, + "step": 9650 + }, + { + "epoch": 1.045822102425876, + "grad_norm": 0.601437509059906, + "learning_rate": 0.000537856449001619, + "loss": 3.798, + "step": 9700 + }, + { + "epoch": 1.0512129380053907, + "grad_norm": 0.5584002137184143, + "learning_rate": 0.0005375326497571505, + "loss": 3.7985, + "step": 9750 + }, + { + "epoch": 1.0566037735849056, + "grad_norm": 0.5526735782623291, + "learning_rate": 0.000537208850512682, + "loss": 3.8074, + "step": 9800 + }, + { + "epoch": 1.0619946091644206, + "grad_norm": 0.5977774858474731, + "learning_rate": 0.0005368850512682137, + "loss": 3.7989, + "step": 9850 + }, + { + "epoch": 1.0673854447439353, + "grad_norm": 0.5950897932052612, + "learning_rate": 0.0005365612520237453, + "loss": 3.7924, + "step": 9900 + }, + { + "epoch": 1.0727762803234502, + "grad_norm": 0.5768362283706665, + "learning_rate": 0.0005362374527792768, + "loss": 3.7855, + "step": 9950 + }, + { + "epoch": 1.0781671159029649, + "grad_norm": 0.6516294479370117, + "learning_rate": 0.0005359136535348084, + "loss": 3.7811, + "step": 10000 + }, + { + "epoch": 1.0781671159029649, + "eval_accuracy": 0.34365658907510427, + "eval_loss": 3.762051582336426, + "eval_runtime": 144.5563, + "eval_samples_per_second": 124.595, + "eval_steps_per_second": 7.789, + "step": 10000 + }, + { + "epoch": 1.0835579514824798, + "grad_norm": 0.54844731092453, + "learning_rate": 0.0005355898542903399, + "loss": 3.7802, + "step": 10050 + }, + { + "epoch": 1.0889487870619945, + "grad_norm": 0.6120631694793701, + "learning_rate": 0.0005352660550458716, + "loss": 3.789, + "step": 10100 + }, + { + "epoch": 1.0943396226415094, + "grad_norm": 0.5617305636405945, + "learning_rate": 0.000534942255801403, + "loss": 3.784, + "step": 10150 + }, + { + "epoch": 1.0997304582210243, + "grad_norm": 0.6198379993438721, + "learning_rate": 0.0005346184565569347, + "loss": 3.7835, + "step": 10200 + }, + { + "epoch": 1.105121293800539, + "grad_norm": 0.5185474753379822, + "learning_rate": 0.0005342946573124662, + "loss": 3.7928, + "step": 10250 + }, + { + "epoch": 1.110512129380054, + "grad_norm": 0.5625671744346619, + "learning_rate": 0.0005339708580679978, + "loss": 3.7792, + "step": 10300 + }, + { + "epoch": 1.1159029649595686, + "grad_norm": 0.6791179180145264, + "learning_rate": 0.0005336470588235293, + "loss": 3.7647, + "step": 10350 + }, + { + "epoch": 1.1212938005390836, + "grad_norm": 0.5952463746070862, + "learning_rate": 0.000533323259579061, + "loss": 3.7826, + "step": 10400 + }, + { + "epoch": 1.1266846361185983, + "grad_norm": 0.5367695689201355, + "learning_rate": 0.0005329994603345925, + "loss": 3.7714, + "step": 10450 + }, + { + "epoch": 1.1320754716981132, + "grad_norm": 0.6577426195144653, + "learning_rate": 0.0005326756610901241, + "loss": 3.7588, + "step": 10500 + }, + { + "epoch": 1.137466307277628, + "grad_norm": 0.5481351017951965, + "learning_rate": 0.0005323518618456556, + "loss": 3.7808, + "step": 10550 + }, + { + "epoch": 1.1428571428571428, + "grad_norm": 0.5973223447799683, + "learning_rate": 0.0005320280626011872, + "loss": 3.7903, + "step": 10600 + }, + { + "epoch": 1.1482479784366577, + "grad_norm": 0.6764339804649353, + "learning_rate": 0.0005317042633567188, + "loss": 3.7673, + "step": 10650 + }, + { + "epoch": 1.1536388140161726, + "grad_norm": 0.6202555894851685, + "learning_rate": 0.0005313804641122504, + "loss": 3.7633, + "step": 10700 + }, + { + "epoch": 1.1590296495956873, + "grad_norm": 0.6169992089271545, + "learning_rate": 0.0005310566648677819, + "loss": 3.7519, + "step": 10750 + }, + { + "epoch": 1.1644204851752022, + "grad_norm": 0.5893779993057251, + "learning_rate": 0.0005307328656233135, + "loss": 3.7433, + "step": 10800 + }, + { + "epoch": 1.169811320754717, + "grad_norm": 0.5708191394805908, + "learning_rate": 0.000530409066378845, + "loss": 3.7609, + "step": 10850 + }, + { + "epoch": 1.1752021563342319, + "grad_norm": 0.5436216592788696, + "learning_rate": 0.0005300852671343766, + "loss": 3.7635, + "step": 10900 + }, + { + "epoch": 1.1805929919137466, + "grad_norm": 0.5945119261741638, + "learning_rate": 0.0005297614678899081, + "loss": 3.7755, + "step": 10950 + }, + { + "epoch": 1.1859838274932615, + "grad_norm": 0.5752778053283691, + "learning_rate": 0.0005294376686454398, + "loss": 3.7908, + "step": 11000 + }, + { + "epoch": 1.1859838274932615, + "eval_accuracy": 0.3459605735612103, + "eval_loss": 3.7342617511749268, + "eval_runtime": 145.0651, + "eval_samples_per_second": 124.158, + "eval_steps_per_second": 7.762, + "step": 11000 + }, + { + "epoch": 1.1913746630727764, + "grad_norm": 0.5780414342880249, + "learning_rate": 0.0005291138694009714, + "loss": 3.7773, + "step": 11050 + }, + { + "epoch": 1.196765498652291, + "grad_norm": 0.6393083930015564, + "learning_rate": 0.0005287900701565029, + "loss": 3.7719, + "step": 11100 + }, + { + "epoch": 1.202156334231806, + "grad_norm": 0.5772005319595337, + "learning_rate": 0.0005284662709120345, + "loss": 3.7688, + "step": 11150 + }, + { + "epoch": 1.2075471698113207, + "grad_norm": 0.5036531686782837, + "learning_rate": 0.0005281424716675661, + "loss": 3.7578, + "step": 11200 + }, + { + "epoch": 1.2129380053908356, + "grad_norm": 0.56954026222229, + "learning_rate": 0.0005278186724230977, + "loss": 3.7505, + "step": 11250 + }, + { + "epoch": 1.2183288409703503, + "grad_norm": 0.6294519901275635, + "learning_rate": 0.0005274948731786292, + "loss": 3.7672, + "step": 11300 + }, + { + "epoch": 1.2237196765498652, + "grad_norm": 0.6276326775550842, + "learning_rate": 0.0005271710739341608, + "loss": 3.7523, + "step": 11350 + }, + { + "epoch": 1.2291105121293802, + "grad_norm": 0.6219097971916199, + "learning_rate": 0.0005268472746896923, + "loss": 3.7687, + "step": 11400 + }, + { + "epoch": 1.2345013477088949, + "grad_norm": 0.5939977765083313, + "learning_rate": 0.000526523475445224, + "loss": 3.7595, + "step": 11450 + }, + { + "epoch": 1.2398921832884098, + "grad_norm": 0.6375150680541992, + "learning_rate": 0.0005261996762007554, + "loss": 3.7498, + "step": 11500 + }, + { + "epoch": 1.2452830188679245, + "grad_norm": 0.534351110458374, + "learning_rate": 0.0005258758769562871, + "loss": 3.7602, + "step": 11550 + }, + { + "epoch": 1.2506738544474394, + "grad_norm": 0.5753054618835449, + "learning_rate": 0.0005255520777118186, + "loss": 3.7345, + "step": 11600 + }, + { + "epoch": 1.256064690026954, + "grad_norm": 0.5968658328056335, + "learning_rate": 0.0005252282784673502, + "loss": 3.7679, + "step": 11650 + }, + { + "epoch": 1.261455525606469, + "grad_norm": 0.6453511118888855, + "learning_rate": 0.0005249044792228817, + "loss": 3.7641, + "step": 11700 + }, + { + "epoch": 1.266846361185984, + "grad_norm": 0.5844177007675171, + "learning_rate": 0.0005245806799784133, + "loss": 3.7551, + "step": 11750 + }, + { + "epoch": 1.2722371967654986, + "grad_norm": 0.5597920417785645, + "learning_rate": 0.0005242568807339449, + "loss": 3.7458, + "step": 11800 + }, + { + "epoch": 1.2776280323450135, + "grad_norm": 0.6149951815605164, + "learning_rate": 0.0005239330814894765, + "loss": 3.7582, + "step": 11850 + }, + { + "epoch": 1.2830188679245282, + "grad_norm": 0.5561873316764832, + "learning_rate": 0.000523609282245008, + "loss": 3.7456, + "step": 11900 + }, + { + "epoch": 1.2884097035040432, + "grad_norm": 0.6077041029930115, + "learning_rate": 0.0005232854830005396, + "loss": 3.7601, + "step": 11950 + }, + { + "epoch": 1.2938005390835579, + "grad_norm": 0.6389844417572021, + "learning_rate": 0.0005229616837560712, + "loss": 3.7514, + "step": 12000 + }, + { + "epoch": 1.2938005390835579, + "eval_accuracy": 0.3482391332715678, + "eval_loss": 3.7092418670654297, + "eval_runtime": 144.795, + "eval_samples_per_second": 124.39, + "eval_steps_per_second": 7.777, + "step": 12000 + }, + { + "epoch": 1.2991913746630728, + "grad_norm": 0.6131287217140198, + "learning_rate": 0.0005226378845116028, + "loss": 3.7472, + "step": 12050 + }, + { + "epoch": 1.3045822102425877, + "grad_norm": 0.5687003135681152, + "learning_rate": 0.0005223140852671344, + "loss": 3.7541, + "step": 12100 + }, + { + "epoch": 1.3099730458221024, + "grad_norm": 0.603330135345459, + "learning_rate": 0.0005219902860226659, + "loss": 3.7719, + "step": 12150 + }, + { + "epoch": 1.3153638814016173, + "grad_norm": 0.5906956791877747, + "learning_rate": 0.0005216664867781975, + "loss": 3.7419, + "step": 12200 + }, + { + "epoch": 1.320754716981132, + "grad_norm": 0.5257678627967834, + "learning_rate": 0.000521342687533729, + "loss": 3.7494, + "step": 12250 + }, + { + "epoch": 1.326145552560647, + "grad_norm": 0.55323725938797, + "learning_rate": 0.0005210188882892606, + "loss": 3.7598, + "step": 12300 + }, + { + "epoch": 1.3315363881401616, + "grad_norm": 0.6195726990699768, + "learning_rate": 0.0005206950890447922, + "loss": 3.7455, + "step": 12350 + }, + { + "epoch": 1.3369272237196765, + "grad_norm": 0.6453518271446228, + "learning_rate": 0.0005203712898003238, + "loss": 3.7346, + "step": 12400 + }, + { + "epoch": 1.3423180592991915, + "grad_norm": 0.591871976852417, + "learning_rate": 0.0005200474905558553, + "loss": 3.7498, + "step": 12450 + }, + { + "epoch": 1.3477088948787062, + "grad_norm": 0.8153529167175293, + "learning_rate": 0.0005197236913113869, + "loss": 3.73, + "step": 12500 + }, + { + "epoch": 1.353099730458221, + "grad_norm": 0.6054574847221375, + "learning_rate": 0.0005193998920669184, + "loss": 3.7438, + "step": 12550 + }, + { + "epoch": 1.3584905660377358, + "grad_norm": 0.5890757441520691, + "learning_rate": 0.0005190760928224501, + "loss": 3.7383, + "step": 12600 + }, + { + "epoch": 1.3638814016172507, + "grad_norm": 0.5858767032623291, + "learning_rate": 0.0005187522935779816, + "loss": 3.7272, + "step": 12650 + }, + { + "epoch": 1.3692722371967654, + "grad_norm": 0.5663976073265076, + "learning_rate": 0.0005184284943335132, + "loss": 3.7232, + "step": 12700 + }, + { + "epoch": 1.3746630727762803, + "grad_norm": 0.6173025965690613, + "learning_rate": 0.0005181046950890447, + "loss": 3.7428, + "step": 12750 + }, + { + "epoch": 1.3800539083557952, + "grad_norm": 0.5534438490867615, + "learning_rate": 0.0005177808958445764, + "loss": 3.7214, + "step": 12800 + }, + { + "epoch": 1.38544474393531, + "grad_norm": 0.6565149426460266, + "learning_rate": 0.0005174570966001078, + "loss": 3.7343, + "step": 12850 + }, + { + "epoch": 1.3908355795148248, + "grad_norm": 0.518814742565155, + "learning_rate": 0.0005171332973556395, + "loss": 3.7343, + "step": 12900 + }, + { + "epoch": 1.3962264150943398, + "grad_norm": 0.6175557374954224, + "learning_rate": 0.000516809498111171, + "loss": 3.726, + "step": 12950 + }, + { + "epoch": 1.4016172506738545, + "grad_norm": 0.525554895401001, + "learning_rate": 0.0005164856988667026, + "loss": 3.7207, + "step": 13000 + }, + { + "epoch": 1.4016172506738545, + "eval_accuracy": 0.3513273743019188, + "eval_loss": 3.684098482131958, + "eval_runtime": 145.0832, + "eval_samples_per_second": 124.143, + "eval_steps_per_second": 7.761, + "step": 13000 + }, + { + "epoch": 1.4070080862533692, + "grad_norm": 0.5694339275360107, + "learning_rate": 0.0005161618996222341, + "loss": 3.7017, + "step": 13050 + }, + { + "epoch": 1.412398921832884, + "grad_norm": 0.5720424056053162, + "learning_rate": 0.0005158381003777657, + "loss": 3.7224, + "step": 13100 + }, + { + "epoch": 1.417789757412399, + "grad_norm": 0.5959078073501587, + "learning_rate": 0.0005155143011332973, + "loss": 3.7268, + "step": 13150 + }, + { + "epoch": 1.4231805929919137, + "grad_norm": 0.5883017182350159, + "learning_rate": 0.0005151905018888289, + "loss": 3.7077, + "step": 13200 + }, + { + "epoch": 1.4285714285714286, + "grad_norm": 0.5214637517929077, + "learning_rate": 0.0005148667026443604, + "loss": 3.7251, + "step": 13250 + }, + { + "epoch": 1.4339622641509435, + "grad_norm": 0.5803607106208801, + "learning_rate": 0.000514542903399892, + "loss": 3.7207, + "step": 13300 + }, + { + "epoch": 1.4393530997304582, + "grad_norm": 0.6287586688995361, + "learning_rate": 0.0005142191041554237, + "loss": 3.7256, + "step": 13350 + }, + { + "epoch": 1.444743935309973, + "grad_norm": 0.614562451839447, + "learning_rate": 0.0005138953049109552, + "loss": 3.7166, + "step": 13400 + }, + { + "epoch": 1.4501347708894878, + "grad_norm": 0.5314472317695618, + "learning_rate": 0.0005135715056664868, + "loss": 3.7338, + "step": 13450 + }, + { + "epoch": 1.4555256064690028, + "grad_norm": 0.6482129693031311, + "learning_rate": 0.0005132477064220183, + "loss": 3.7264, + "step": 13500 + }, + { + "epoch": 1.4609164420485174, + "grad_norm": 0.5918267369270325, + "learning_rate": 0.0005129239071775499, + "loss": 3.7023, + "step": 13550 + }, + { + "epoch": 1.4663072776280324, + "grad_norm": 0.5850944519042969, + "learning_rate": 0.0005126001079330814, + "loss": 3.7298, + "step": 13600 + }, + { + "epoch": 1.4716981132075473, + "grad_norm": 0.5356786847114563, + "learning_rate": 0.000512276308688613, + "loss": 3.7098, + "step": 13650 + }, + { + "epoch": 1.477088948787062, + "grad_norm": 0.5910783410072327, + "learning_rate": 0.0005119525094441446, + "loss": 3.7309, + "step": 13700 + }, + { + "epoch": 1.482479784366577, + "grad_norm": 0.5758869051933289, + "learning_rate": 0.0005116287101996762, + "loss": 3.703, + "step": 13750 + }, + { + "epoch": 1.4878706199460916, + "grad_norm": 0.5499842762947083, + "learning_rate": 0.0005113049109552077, + "loss": 3.7275, + "step": 13800 + }, + { + "epoch": 1.4932614555256065, + "grad_norm": 0.6198793053627014, + "learning_rate": 0.0005109811117107393, + "loss": 3.7118, + "step": 13850 + }, + { + "epoch": 1.4986522911051212, + "grad_norm": 0.5693920850753784, + "learning_rate": 0.0005106573124662708, + "loss": 3.7209, + "step": 13900 + }, + { + "epoch": 1.5040431266846361, + "grad_norm": 0.6063724160194397, + "learning_rate": 0.0005103335132218025, + "loss": 3.7108, + "step": 13950 + }, + { + "epoch": 1.509433962264151, + "grad_norm": 0.5341413021087646, + "learning_rate": 0.000510009713977334, + "loss": 3.7092, + "step": 14000 + }, + { + "epoch": 1.509433962264151, + "eval_accuracy": 0.35327356482845174, + "eval_loss": 3.66573429107666, + "eval_runtime": 144.4021, + "eval_samples_per_second": 124.728, + "eval_steps_per_second": 7.798, + "step": 14000 + }, + { + "epoch": 1.5148247978436657, + "grad_norm": 0.5940130352973938, + "learning_rate": 0.0005096859147328656, + "loss": 3.7083, + "step": 14050 + }, + { + "epoch": 1.5202156334231804, + "grad_norm": 0.5854769945144653, + "learning_rate": 0.0005093621154883971, + "loss": 3.7072, + "step": 14100 + }, + { + "epoch": 1.5256064690026954, + "grad_norm": 0.5369813442230225, + "learning_rate": 0.0005090383162439288, + "loss": 3.6994, + "step": 14150 + }, + { + "epoch": 1.5309973045822103, + "grad_norm": 0.6851678490638733, + "learning_rate": 0.0005087145169994602, + "loss": 3.7003, + "step": 14200 + }, + { + "epoch": 1.536388140161725, + "grad_norm": 0.5451446771621704, + "learning_rate": 0.0005083907177549918, + "loss": 3.7145, + "step": 14250 + }, + { + "epoch": 1.54177897574124, + "grad_norm": 0.550528347492218, + "learning_rate": 0.0005080669185105234, + "loss": 3.7145, + "step": 14300 + }, + { + "epoch": 1.5471698113207548, + "grad_norm": 0.5607097744941711, + "learning_rate": 0.000507743119266055, + "loss": 3.7074, + "step": 14350 + }, + { + "epoch": 1.5525606469002695, + "grad_norm": 0.5699529051780701, + "learning_rate": 0.0005074193200215865, + "loss": 3.7239, + "step": 14400 + }, + { + "epoch": 1.5579514824797842, + "grad_norm": 0.6193976402282715, + "learning_rate": 0.0005070955207771181, + "loss": 3.7146, + "step": 14450 + }, + { + "epoch": 1.5633423180592994, + "grad_norm": 0.5902137756347656, + "learning_rate": 0.0005067717215326498, + "loss": 3.6944, + "step": 14500 + }, + { + "epoch": 1.568733153638814, + "grad_norm": 0.5481423735618591, + "learning_rate": 0.0005064479222881813, + "loss": 3.7103, + "step": 14550 + }, + { + "epoch": 1.5741239892183287, + "grad_norm": 0.6323958039283752, + "learning_rate": 0.0005061241230437129, + "loss": 3.6955, + "step": 14600 + }, + { + "epoch": 1.5795148247978437, + "grad_norm": 0.6062991619110107, + "learning_rate": 0.0005058003237992444, + "loss": 3.6937, + "step": 14650 + }, + { + "epoch": 1.5849056603773586, + "grad_norm": 0.5340829491615295, + "learning_rate": 0.0005054830005396654, + "loss": 3.7098, + "step": 14700 + }, + { + "epoch": 1.5902964959568733, + "grad_norm": 0.590190052986145, + "learning_rate": 0.0005051592012951969, + "loss": 3.7098, + "step": 14750 + }, + { + "epoch": 1.595687331536388, + "grad_norm": 0.5628999471664429, + "learning_rate": 0.0005048354020507286, + "loss": 3.6799, + "step": 14800 + }, + { + "epoch": 1.6010781671159031, + "grad_norm": 0.5697661638259888, + "learning_rate": 0.00050451160280626, + "loss": 3.7014, + "step": 14850 + }, + { + "epoch": 1.6064690026954178, + "grad_norm": 0.5965352058410645, + "learning_rate": 0.0005041878035617917, + "loss": 3.7081, + "step": 14900 + }, + { + "epoch": 1.6118598382749325, + "grad_norm": 0.5691752433776855, + "learning_rate": 0.0005038640043173232, + "loss": 3.697, + "step": 14950 + }, + { + "epoch": 1.6172506738544474, + "grad_norm": 0.5844449400901794, + "learning_rate": 0.0005035402050728548, + "loss": 3.6968, + "step": 15000 + }, + { + "epoch": 1.6172506738544474, + "eval_accuracy": 0.35501950808274263, + "eval_loss": 3.6473617553710938, + "eval_runtime": 144.9331, + "eval_samples_per_second": 124.271, + "eval_steps_per_second": 7.769, + "step": 15000 + }, + { + "epoch": 1.6226415094339623, + "grad_norm": 0.5243232846260071, + "learning_rate": 0.0005032164058283863, + "loss": 3.6876, + "step": 15050 + }, + { + "epoch": 1.628032345013477, + "grad_norm": 0.521431565284729, + "learning_rate": 0.0005028926065839179, + "loss": 3.6816, + "step": 15100 + }, + { + "epoch": 1.633423180592992, + "grad_norm": 0.54181307554245, + "learning_rate": 0.0005025688073394495, + "loss": 3.681, + "step": 15150 + }, + { + "epoch": 1.6388140161725069, + "grad_norm": 0.5746421217918396, + "learning_rate": 0.0005022450080949811, + "loss": 3.6847, + "step": 15200 + }, + { + "epoch": 1.6442048517520216, + "grad_norm": 0.5637415051460266, + "learning_rate": 0.0005019212088505126, + "loss": 3.6782, + "step": 15250 + }, + { + "epoch": 1.6495956873315363, + "grad_norm": 0.5300856828689575, + "learning_rate": 0.0005015974096060442, + "loss": 3.6848, + "step": 15300 + }, + { + "epoch": 1.6549865229110512, + "grad_norm": 0.5390794277191162, + "learning_rate": 0.0005012736103615758, + "loss": 3.7087, + "step": 15350 + }, + { + "epoch": 1.6603773584905661, + "grad_norm": 0.6010688543319702, + "learning_rate": 0.0005009498111171074, + "loss": 3.6966, + "step": 15400 + }, + { + "epoch": 1.6657681940700808, + "grad_norm": 0.548942506313324, + "learning_rate": 0.0005006260118726389, + "loss": 3.6648, + "step": 15450 + }, + { + "epoch": 1.6711590296495957, + "grad_norm": 0.5794510245323181, + "learning_rate": 0.0005003022126281705, + "loss": 3.6827, + "step": 15500 + }, + { + "epoch": 1.6765498652291106, + "grad_norm": 0.5393055081367493, + "learning_rate": 0.000499978413383702, + "loss": 3.68, + "step": 15550 + }, + { + "epoch": 1.6819407008086253, + "grad_norm": 0.5647615194320679, + "learning_rate": 0.0004996546141392336, + "loss": 3.6677, + "step": 15600 + }, + { + "epoch": 1.68733153638814, + "grad_norm": 0.5918028354644775, + "learning_rate": 0.0004993308148947651, + "loss": 3.6859, + "step": 15650 + }, + { + "epoch": 1.692722371967655, + "grad_norm": 0.5556984543800354, + "learning_rate": 0.0004990070156502968, + "loss": 3.6733, + "step": 15700 + }, + { + "epoch": 1.6981132075471699, + "grad_norm": 0.5747886896133423, + "learning_rate": 0.0004986832164058284, + "loss": 3.6979, + "step": 15750 + }, + { + "epoch": 1.7035040431266846, + "grad_norm": 0.5632966756820679, + "learning_rate": 0.0004983594171613599, + "loss": 3.6957, + "step": 15800 + }, + { + "epoch": 1.7088948787061995, + "grad_norm": 0.5908682942390442, + "learning_rate": 0.0004980356179168915, + "loss": 3.6886, + "step": 15850 + }, + { + "epoch": 1.7142857142857144, + "grad_norm": 0.6491772532463074, + "learning_rate": 0.000497711818672423, + "loss": 3.6902, + "step": 15900 + }, + { + "epoch": 1.719676549865229, + "grad_norm": 0.594153106212616, + "learning_rate": 0.0004973880194279547, + "loss": 3.6752, + "step": 15950 + }, + { + "epoch": 1.7250673854447438, + "grad_norm": 0.6420136094093323, + "learning_rate": 0.0004970642201834862, + "loss": 3.6724, + "step": 16000 + }, + { + "epoch": 1.7250673854447438, + "eval_accuracy": 0.3570638121669721, + "eval_loss": 3.6263442039489746, + "eval_runtime": 144.5518, + "eval_samples_per_second": 124.599, + "eval_steps_per_second": 7.79, + "step": 16000 + }, + { + "epoch": 1.7304582210242587, + "grad_norm": 0.5980614423751831, + "learning_rate": 0.0004967404209390178, + "loss": 3.6727, + "step": 16050 + }, + { + "epoch": 1.7358490566037736, + "grad_norm": 0.5954625010490417, + "learning_rate": 0.0004964166216945493, + "loss": 3.6587, + "step": 16100 + }, + { + "epoch": 1.7412398921832883, + "grad_norm": 0.563701868057251, + "learning_rate": 0.000496092822450081, + "loss": 3.683, + "step": 16150 + }, + { + "epoch": 1.7466307277628033, + "grad_norm": 0.5353266596794128, + "learning_rate": 0.0004957690232056125, + "loss": 3.6928, + "step": 16200 + }, + { + "epoch": 1.7520215633423182, + "grad_norm": 0.6115831136703491, + "learning_rate": 0.0004954452239611441, + "loss": 3.6697, + "step": 16250 + }, + { + "epoch": 1.7574123989218329, + "grad_norm": 0.5373592376708984, + "learning_rate": 0.0004951214247166756, + "loss": 3.6907, + "step": 16300 + }, + { + "epoch": 1.7628032345013476, + "grad_norm": 0.7120974063873291, + "learning_rate": 0.0004947976254722072, + "loss": 3.6741, + "step": 16350 + }, + { + "epoch": 1.7681940700808625, + "grad_norm": 0.5365995764732361, + "learning_rate": 0.0004944738262277387, + "loss": 3.6656, + "step": 16400 + }, + { + "epoch": 1.7735849056603774, + "grad_norm": 0.6026771664619446, + "learning_rate": 0.0004941500269832703, + "loss": 3.6708, + "step": 16450 + }, + { + "epoch": 1.778975741239892, + "grad_norm": 0.5560598969459534, + "learning_rate": 0.0004938262277388019, + "loss": 3.6594, + "step": 16500 + }, + { + "epoch": 1.784366576819407, + "grad_norm": 0.6191685199737549, + "learning_rate": 0.0004935024284943335, + "loss": 3.685, + "step": 16550 + }, + { + "epoch": 1.789757412398922, + "grad_norm": 0.6867356896400452, + "learning_rate": 0.000493178629249865, + "loss": 3.6698, + "step": 16600 + }, + { + "epoch": 1.7951482479784366, + "grad_norm": 0.5517817139625549, + "learning_rate": 0.0004928548300053966, + "loss": 3.6725, + "step": 16650 + }, + { + "epoch": 1.8005390835579513, + "grad_norm": 0.5496578216552734, + "learning_rate": 0.0004925310307609282, + "loss": 3.6745, + "step": 16700 + }, + { + "epoch": 1.8059299191374663, + "grad_norm": 0.540912926197052, + "learning_rate": 0.0004922072315164598, + "loss": 3.6624, + "step": 16750 + }, + { + "epoch": 1.8113207547169812, + "grad_norm": 0.5637075304985046, + "learning_rate": 0.0004918834322719913, + "loss": 3.6658, + "step": 16800 + }, + { + "epoch": 1.8167115902964959, + "grad_norm": 0.5674017071723938, + "learning_rate": 0.0004915596330275229, + "loss": 3.6701, + "step": 16850 + }, + { + "epoch": 1.8221024258760108, + "grad_norm": 0.5619826912879944, + "learning_rate": 0.0004912487857528331, + "loss": 3.6714, + "step": 16900 + }, + { + "epoch": 1.8274932614555257, + "grad_norm": 0.5217414498329163, + "learning_rate": 0.0004909249865083648, + "loss": 3.6863, + "step": 16950 + }, + { + "epoch": 1.8328840970350404, + "grad_norm": 0.565362811088562, + "learning_rate": 0.0004906011872638964, + "loss": 3.6737, + "step": 17000 + }, + { + "epoch": 1.8328840970350404, + "eval_accuracy": 0.3582435652228617, + "eval_loss": 3.6162045001983643, + "eval_runtime": 144.7573, + "eval_samples_per_second": 124.422, + "eval_steps_per_second": 7.779, + "step": 17000 + }, + { + "epoch": 1.838274932614555, + "grad_norm": 0.5198625326156616, + "learning_rate": 0.0004902773880194279, + "loss": 3.6515, + "step": 17050 + }, + { + "epoch": 1.8436657681940702, + "grad_norm": 0.5708647966384888, + "learning_rate": 0.0004899535887749595, + "loss": 3.6661, + "step": 17100 + }, + { + "epoch": 1.849056603773585, + "grad_norm": 0.583521842956543, + "learning_rate": 0.000489629789530491, + "loss": 3.6622, + "step": 17150 + }, + { + "epoch": 1.8544474393530996, + "grad_norm": 0.5446178913116455, + "learning_rate": 0.0004893059902860227, + "loss": 3.647, + "step": 17200 + }, + { + "epoch": 1.8598382749326146, + "grad_norm": 0.5899081230163574, + "learning_rate": 0.0004889821910415542, + "loss": 3.6697, + "step": 17250 + }, + { + "epoch": 1.8652291105121295, + "grad_norm": 0.6142265796661377, + "learning_rate": 0.0004886583917970858, + "loss": 3.6597, + "step": 17300 + }, + { + "epoch": 1.8706199460916442, + "grad_norm": 0.9669179320335388, + "learning_rate": 0.0004883345925526173, + "loss": 3.6618, + "step": 17350 + }, + { + "epoch": 1.8760107816711589, + "grad_norm": 0.564871072769165, + "learning_rate": 0.00048801079330814887, + "loss": 3.6571, + "step": 17400 + }, + { + "epoch": 1.881401617250674, + "grad_norm": 0.5841614007949829, + "learning_rate": 0.00048768699406368047, + "loss": 3.6743, + "step": 17450 + }, + { + "epoch": 1.8867924528301887, + "grad_norm": 0.5918266773223877, + "learning_rate": 0.000487363194819212, + "loss": 3.6675, + "step": 17500 + }, + { + "epoch": 1.8921832884097034, + "grad_norm": 0.5641137361526489, + "learning_rate": 0.0004870393955747436, + "loss": 3.6488, + "step": 17550 + }, + { + "epoch": 1.8975741239892183, + "grad_norm": 0.5747765898704529, + "learning_rate": 0.0004867155963302752, + "loss": 3.6558, + "step": 17600 + }, + { + "epoch": 1.9029649595687332, + "grad_norm": 0.5801583528518677, + "learning_rate": 0.0004863917970858068, + "loss": 3.6348, + "step": 17650 + }, + { + "epoch": 1.908355795148248, + "grad_norm": 0.5788767337799072, + "learning_rate": 0.00048606799784133833, + "loss": 3.6446, + "step": 17700 + }, + { + "epoch": 1.9137466307277629, + "grad_norm": 0.5854235291481018, + "learning_rate": 0.00048574419859686994, + "loss": 3.648, + "step": 17750 + }, + { + "epoch": 1.9191374663072778, + "grad_norm": 0.5577847957611084, + "learning_rate": 0.0004854203993524015, + "loss": 3.6665, + "step": 17800 + }, + { + "epoch": 1.9245283018867925, + "grad_norm": 0.536088228225708, + "learning_rate": 0.000485096600107933, + "loss": 3.6671, + "step": 17850 + }, + { + "epoch": 1.9299191374663072, + "grad_norm": 0.5481696724891663, + "learning_rate": 0.00048477280086346464, + "loss": 3.6721, + "step": 17900 + }, + { + "epoch": 1.935309973045822, + "grad_norm": 0.547725260257721, + "learning_rate": 0.00048444900161899614, + "loss": 3.6622, + "step": 17950 + }, + { + "epoch": 1.940700808625337, + "grad_norm": 0.5937644243240356, + "learning_rate": 0.00048412520237452774, + "loss": 3.6477, + "step": 18000 + }, + { + "epoch": 1.940700808625337, + "eval_accuracy": 0.3597537317105952, + "eval_loss": 3.5971779823303223, + "eval_runtime": 144.7293, + "eval_samples_per_second": 124.446, + "eval_steps_per_second": 7.78, + "step": 18000 + }, + { + "epoch": 1.9460916442048517, + "grad_norm": 0.5931717753410339, + "learning_rate": 0.0004838014031300593, + "loss": 3.6358, + "step": 18050 + }, + { + "epoch": 1.9514824797843666, + "grad_norm": 0.6099575757980347, + "learning_rate": 0.0004834776038855909, + "loss": 3.644, + "step": 18100 + }, + { + "epoch": 1.9568733153638815, + "grad_norm": 0.5704085230827332, + "learning_rate": 0.00048315380464112245, + "loss": 3.6517, + "step": 18150 + }, + { + "epoch": 1.9622641509433962, + "grad_norm": 0.5262129902839661, + "learning_rate": 0.00048283000539665405, + "loss": 3.6523, + "step": 18200 + }, + { + "epoch": 1.967654986522911, + "grad_norm": 0.512693464756012, + "learning_rate": 0.0004825062061521856, + "loss": 3.6432, + "step": 18250 + }, + { + "epoch": 1.9730458221024259, + "grad_norm": 0.5602070093154907, + "learning_rate": 0.00048218240690771716, + "loss": 3.6688, + "step": 18300 + }, + { + "epoch": 1.9784366576819408, + "grad_norm": 0.5258756875991821, + "learning_rate": 0.00048185860766324876, + "loss": 3.6471, + "step": 18350 + }, + { + "epoch": 1.9838274932614555, + "grad_norm": 0.5815879106521606, + "learning_rate": 0.0004815348084187803, + "loss": 3.6496, + "step": 18400 + }, + { + "epoch": 1.9892183288409704, + "grad_norm": 0.5756340622901917, + "learning_rate": 0.0004812110091743119, + "loss": 3.6589, + "step": 18450 + }, + { + "epoch": 1.9946091644204853, + "grad_norm": 0.6157427430152893, + "learning_rate": 0.00048088720992984347, + "loss": 3.6378, + "step": 18500 + }, + { + "epoch": 2.0, + "grad_norm": 1.1887223720550537, + "learning_rate": 0.00048056341068537507, + "loss": 3.6418, + "step": 18550 + }, + { + "epoch": 2.0053908355795147, + "grad_norm": 0.5796721577644348, + "learning_rate": 0.00048023961144090657, + "loss": 3.5398, + "step": 18600 + }, + { + "epoch": 2.01078167115903, + "grad_norm": 0.5702629089355469, + "learning_rate": 0.00047991581219643817, + "loss": 3.5522, + "step": 18650 + }, + { + "epoch": 2.0161725067385445, + "grad_norm": 0.5687718391418457, + "learning_rate": 0.0004795920129519697, + "loss": 3.5469, + "step": 18700 + }, + { + "epoch": 2.0215633423180592, + "grad_norm": 0.6058363914489746, + "learning_rate": 0.0004792682137075013, + "loss": 3.5565, + "step": 18750 + }, + { + "epoch": 2.026954177897574, + "grad_norm": 0.5502753257751465, + "learning_rate": 0.0004789444144630329, + "loss": 3.5781, + "step": 18800 + }, + { + "epoch": 2.032345013477089, + "grad_norm": 0.5815129280090332, + "learning_rate": 0.00047862061521856443, + "loss": 3.5754, + "step": 18850 + }, + { + "epoch": 2.0377358490566038, + "grad_norm": 0.5740176439285278, + "learning_rate": 0.00047829681597409603, + "loss": 3.5584, + "step": 18900 + }, + { + "epoch": 2.0431266846361185, + "grad_norm": 0.5666323304176331, + "learning_rate": 0.0004779730167296276, + "loss": 3.5638, + "step": 18950 + }, + { + "epoch": 2.0485175202156336, + "grad_norm": 0.5930228233337402, + "learning_rate": 0.0004776492174851592, + "loss": 3.5922, + "step": 19000 + }, + { + "epoch": 2.0485175202156336, + "eval_accuracy": 0.36108874974317173, + "eval_loss": 3.588949203491211, + "eval_runtime": 144.8607, + "eval_samples_per_second": 124.333, + "eval_steps_per_second": 7.773, + "step": 19000 + }, + { + "epoch": 2.0539083557951483, + "grad_norm": 0.5626940727233887, + "learning_rate": 0.00047732541824069074, + "loss": 3.5695, + "step": 19050 + }, + { + "epoch": 2.059299191374663, + "grad_norm": 0.6210435628890991, + "learning_rate": 0.0004770016189962223, + "loss": 3.5607, + "step": 19100 + }, + { + "epoch": 2.0646900269541777, + "grad_norm": 0.5758371949195862, + "learning_rate": 0.0004766778197517539, + "loss": 3.5751, + "step": 19150 + }, + { + "epoch": 2.070080862533693, + "grad_norm": 0.6037834286689758, + "learning_rate": 0.0004763540205072854, + "loss": 3.5875, + "step": 19200 + }, + { + "epoch": 2.0754716981132075, + "grad_norm": 0.5686853528022766, + "learning_rate": 0.00047603022126281705, + "loss": 3.5713, + "step": 19250 + }, + { + "epoch": 2.0808625336927222, + "grad_norm": 0.6485291123390198, + "learning_rate": 0.00047570642201834855, + "loss": 3.5609, + "step": 19300 + }, + { + "epoch": 2.0862533692722374, + "grad_norm": 0.6449443697929382, + "learning_rate": 0.00047538262277388015, + "loss": 3.5789, + "step": 19350 + }, + { + "epoch": 2.091644204851752, + "grad_norm": 0.550469696521759, + "learning_rate": 0.0004750588235294117, + "loss": 3.554, + "step": 19400 + }, + { + "epoch": 2.0970350404312668, + "grad_norm": 0.5864623785018921, + "learning_rate": 0.0004747350242849433, + "loss": 3.5732, + "step": 19450 + }, + { + "epoch": 2.1024258760107815, + "grad_norm": 0.6241238117218018, + "learning_rate": 0.00047441122504047486, + "loss": 3.5717, + "step": 19500 + }, + { + "epoch": 2.1078167115902966, + "grad_norm": 0.602936327457428, + "learning_rate": 0.0004740874257960064, + "loss": 3.5604, + "step": 19550 + }, + { + "epoch": 2.1132075471698113, + "grad_norm": 0.5674468874931335, + "learning_rate": 0.000473763626551538, + "loss": 3.5643, + "step": 19600 + }, + { + "epoch": 2.118598382749326, + "grad_norm": 0.600834310054779, + "learning_rate": 0.00047343982730706956, + "loss": 3.5695, + "step": 19650 + }, + { + "epoch": 2.123989218328841, + "grad_norm": 0.5601726770401001, + "learning_rate": 0.00047311602806260117, + "loss": 3.5724, + "step": 19700 + }, + { + "epoch": 2.129380053908356, + "grad_norm": 0.5551213622093201, + "learning_rate": 0.0004727922288181327, + "loss": 3.5783, + "step": 19750 + }, + { + "epoch": 2.1347708894878705, + "grad_norm": 0.5737272500991821, + "learning_rate": 0.0004724684295736643, + "loss": 3.5642, + "step": 19800 + }, + { + "epoch": 2.1401617250673857, + "grad_norm": 0.5712146162986755, + "learning_rate": 0.0004721446303291959, + "loss": 3.5894, + "step": 19850 + }, + { + "epoch": 2.1455525606469004, + "grad_norm": 0.5902134776115417, + "learning_rate": 0.0004718208310847275, + "loss": 3.5903, + "step": 19900 + }, + { + "epoch": 2.150943396226415, + "grad_norm": 0.6139191389083862, + "learning_rate": 0.000471497031840259, + "loss": 3.5862, + "step": 19950 + }, + { + "epoch": 2.1563342318059298, + "grad_norm": 0.5515206456184387, + "learning_rate": 0.0004711732325957905, + "loss": 3.5706, + "step": 20000 + }, + { + "epoch": 2.1563342318059298, + "eval_accuracy": 0.3621358376230399, + "eval_loss": 3.5808968544006348, + "eval_runtime": 144.61, + "eval_samples_per_second": 124.549, + "eval_steps_per_second": 7.786, + "step": 20000 + }, + { + "epoch": 2.161725067385445, + "grad_norm": 0.6040294170379639, + "learning_rate": 0.00047084943335132213, + "loss": 3.5692, + "step": 20050 + }, + { + "epoch": 2.1671159029649596, + "grad_norm": 0.6468523740768433, + "learning_rate": 0.0004705256341068537, + "loss": 3.5764, + "step": 20100 + }, + { + "epoch": 2.1725067385444743, + "grad_norm": 0.5732126235961914, + "learning_rate": 0.0004702018348623853, + "loss": 3.572, + "step": 20150 + }, + { + "epoch": 2.177897574123989, + "grad_norm": 0.545032262802124, + "learning_rate": 0.00046987803561791684, + "loss": 3.5862, + "step": 20200 + }, + { + "epoch": 2.183288409703504, + "grad_norm": 0.5633872747421265, + "learning_rate": 0.00046955423637344844, + "loss": 3.5738, + "step": 20250 + }, + { + "epoch": 2.188679245283019, + "grad_norm": 0.6415254473686218, + "learning_rate": 0.00046923043712898, + "loss": 3.5789, + "step": 20300 + }, + { + "epoch": 2.1940700808625335, + "grad_norm": 0.6461573839187622, + "learning_rate": 0.0004689066378845116, + "loss": 3.5603, + "step": 20350 + }, + { + "epoch": 2.1994609164420487, + "grad_norm": 0.5884630680084229, + "learning_rate": 0.00046858283864004315, + "loss": 3.5676, + "step": 20400 + }, + { + "epoch": 2.2048517520215634, + "grad_norm": 0.5497499704360962, + "learning_rate": 0.0004682590393955747, + "loss": 3.5713, + "step": 20450 + }, + { + "epoch": 2.210242587601078, + "grad_norm": 0.5444649457931519, + "learning_rate": 0.0004679352401511063, + "loss": 3.5807, + "step": 20500 + }, + { + "epoch": 2.215633423180593, + "grad_norm": 0.5752549171447754, + "learning_rate": 0.0004676114409066378, + "loss": 3.576, + "step": 20550 + }, + { + "epoch": 2.221024258760108, + "grad_norm": 0.5602301359176636, + "learning_rate": 0.00046728764166216946, + "loss": 3.5703, + "step": 20600 + }, + { + "epoch": 2.2264150943396226, + "grad_norm": 0.5674179792404175, + "learning_rate": 0.00046696384241770095, + "loss": 3.5705, + "step": 20650 + }, + { + "epoch": 2.2318059299191373, + "grad_norm": 0.6246010661125183, + "learning_rate": 0.00046664004317323256, + "loss": 3.5675, + "step": 20700 + }, + { + "epoch": 2.2371967654986524, + "grad_norm": 0.5755497217178345, + "learning_rate": 0.0004663162439287641, + "loss": 3.5682, + "step": 20750 + }, + { + "epoch": 2.242587601078167, + "grad_norm": 0.601298987865448, + "learning_rate": 0.00046599244468429566, + "loss": 3.5731, + "step": 20800 + }, + { + "epoch": 2.247978436657682, + "grad_norm": 0.6204710602760315, + "learning_rate": 0.00046566864543982726, + "loss": 3.5701, + "step": 20850 + }, + { + "epoch": 2.2533692722371965, + "grad_norm": 0.5474254488945007, + "learning_rate": 0.0004653448461953588, + "loss": 3.5649, + "step": 20900 + }, + { + "epoch": 2.2587601078167117, + "grad_norm": 0.5631576776504517, + "learning_rate": 0.00046502752293577977, + "loss": 3.5743, + "step": 20950 + }, + { + "epoch": 2.2641509433962264, + "grad_norm": 0.5887001752853394, + "learning_rate": 0.00046470372369131137, + "loss": 3.5568, + "step": 21000 + }, + { + "epoch": 2.2641509433962264, + "eval_accuracy": 0.3631279471416739, + "eval_loss": 3.5703935623168945, + "eval_runtime": 144.8136, + "eval_samples_per_second": 124.374, + "eval_steps_per_second": 7.776, + "step": 21000 + }, + { + "epoch": 2.269541778975741, + "grad_norm": 0.5233503580093384, + "learning_rate": 0.0004643799244468429, + "loss": 3.5712, + "step": 21050 + }, + { + "epoch": 2.274932614555256, + "grad_norm": 0.5863848924636841, + "learning_rate": 0.0004640561252023745, + "loss": 3.5732, + "step": 21100 + }, + { + "epoch": 2.280323450134771, + "grad_norm": 0.610373854637146, + "learning_rate": 0.0004637323259579061, + "loss": 3.5865, + "step": 21150 + }, + { + "epoch": 2.2857142857142856, + "grad_norm": 0.5934001207351685, + "learning_rate": 0.0004634085267134376, + "loss": 3.5383, + "step": 21200 + }, + { + "epoch": 2.2911051212938007, + "grad_norm": 0.550365686416626, + "learning_rate": 0.00046308472746896923, + "loss": 3.5677, + "step": 21250 + }, + { + "epoch": 2.2964959568733154, + "grad_norm": 0.5905864238739014, + "learning_rate": 0.00046276092822450073, + "loss": 3.5684, + "step": 21300 + }, + { + "epoch": 2.30188679245283, + "grad_norm": 0.5769224166870117, + "learning_rate": 0.00046243712898003233, + "loss": 3.5621, + "step": 21350 + }, + { + "epoch": 2.3072776280323453, + "grad_norm": 0.5868223905563354, + "learning_rate": 0.0004621133297355639, + "loss": 3.5773, + "step": 21400 + }, + { + "epoch": 2.31266846361186, + "grad_norm": 0.5571302175521851, + "learning_rate": 0.0004617895304910955, + "loss": 3.5739, + "step": 21450 + }, + { + "epoch": 2.3180592991913747, + "grad_norm": 0.5874112844467163, + "learning_rate": 0.00046146573124662704, + "loss": 3.5778, + "step": 21500 + }, + { + "epoch": 2.3234501347708894, + "grad_norm": 0.6028329133987427, + "learning_rate": 0.00046114193200215864, + "loss": 3.558, + "step": 21550 + }, + { + "epoch": 2.3288409703504045, + "grad_norm": 0.5316165089607239, + "learning_rate": 0.0004608181327576902, + "loss": 3.5785, + "step": 21600 + }, + { + "epoch": 2.334231805929919, + "grad_norm": 0.5828713178634644, + "learning_rate": 0.00046049433351322175, + "loss": 3.5738, + "step": 21650 + }, + { + "epoch": 2.339622641509434, + "grad_norm": 0.5575670003890991, + "learning_rate": 0.00046017053426875335, + "loss": 3.5545, + "step": 21700 + }, + { + "epoch": 2.3450134770889486, + "grad_norm": 0.578111469745636, + "learning_rate": 0.0004598467350242849, + "loss": 3.5695, + "step": 21750 + }, + { + "epoch": 2.3504043126684637, + "grad_norm": 0.5924418568611145, + "learning_rate": 0.0004595229357798165, + "loss": 3.5927, + "step": 21800 + }, + { + "epoch": 2.3557951482479784, + "grad_norm": 0.5741672515869141, + "learning_rate": 0.00045919913653534806, + "loss": 3.576, + "step": 21850 + }, + { + "epoch": 2.361185983827493, + "grad_norm": 0.6206271648406982, + "learning_rate": 0.00045887533729087966, + "loss": 3.5548, + "step": 21900 + }, + { + "epoch": 2.3665768194070083, + "grad_norm": 0.6218240857124329, + "learning_rate": 0.00045855153804641116, + "loss": 3.5706, + "step": 21950 + }, + { + "epoch": 2.371967654986523, + "grad_norm": 0.5502433180809021, + "learning_rate": 0.0004582277388019427, + "loss": 3.5596, + "step": 22000 + }, + { + "epoch": 2.371967654986523, + "eval_accuracy": 0.36454162986502814, + "eval_loss": 3.558351993560791, + "eval_runtime": 144.2942, + "eval_samples_per_second": 124.821, + "eval_steps_per_second": 7.804, + "step": 22000 + }, + { + "epoch": 2.3773584905660377, + "grad_norm": 0.5923473238945007, + "learning_rate": 0.0004579039395574743, + "loss": 3.5625, + "step": 22050 + }, + { + "epoch": 2.382749326145553, + "grad_norm": 0.5796228051185608, + "learning_rate": 0.00045758014031300586, + "loss": 3.5745, + "step": 22100 + }, + { + "epoch": 2.3881401617250675, + "grad_norm": 0.5643661618232727, + "learning_rate": 0.00045725634106853747, + "loss": 3.5762, + "step": 22150 + }, + { + "epoch": 2.393530997304582, + "grad_norm": 0.563675582408905, + "learning_rate": 0.000456932541824069, + "loss": 3.5626, + "step": 22200 + }, + { + "epoch": 2.398921832884097, + "grad_norm": 0.5896977782249451, + "learning_rate": 0.0004566087425796006, + "loss": 3.5699, + "step": 22250 + }, + { + "epoch": 2.404312668463612, + "grad_norm": 0.5657273530960083, + "learning_rate": 0.0004562849433351322, + "loss": 3.5572, + "step": 22300 + }, + { + "epoch": 2.4097035040431267, + "grad_norm": 0.5821571946144104, + "learning_rate": 0.0004559611440906638, + "loss": 3.5794, + "step": 22350 + }, + { + "epoch": 2.4150943396226414, + "grad_norm": 0.576914370059967, + "learning_rate": 0.00045563734484619533, + "loss": 3.5643, + "step": 22400 + }, + { + "epoch": 2.420485175202156, + "grad_norm": 0.5930933952331543, + "learning_rate": 0.0004553135456017269, + "loss": 3.5656, + "step": 22450 + }, + { + "epoch": 2.4258760107816713, + "grad_norm": 0.6359766721725464, + "learning_rate": 0.0004549897463572585, + "loss": 3.5722, + "step": 22500 + }, + { + "epoch": 2.431266846361186, + "grad_norm": 0.5717756152153015, + "learning_rate": 0.00045466594711279, + "loss": 3.5636, + "step": 22550 + }, + { + "epoch": 2.4366576819407006, + "grad_norm": 0.6088978052139282, + "learning_rate": 0.00045434214786832164, + "loss": 3.5952, + "step": 22600 + }, + { + "epoch": 2.442048517520216, + "grad_norm": 0.596017062664032, + "learning_rate": 0.00045401834862385314, + "loss": 3.5571, + "step": 22650 + }, + { + "epoch": 2.4474393530997305, + "grad_norm": 0.5859695076942444, + "learning_rate": 0.00045369454937938474, + "loss": 3.5462, + "step": 22700 + }, + { + "epoch": 2.452830188679245, + "grad_norm": 0.5753331780433655, + "learning_rate": 0.0004533707501349163, + "loss": 3.5518, + "step": 22750 + }, + { + "epoch": 2.4582210242587603, + "grad_norm": 0.569882333278656, + "learning_rate": 0.0004530469508904479, + "loss": 3.5628, + "step": 22800 + }, + { + "epoch": 2.463611859838275, + "grad_norm": 0.604755699634552, + "learning_rate": 0.00045272315164597945, + "loss": 3.5464, + "step": 22850 + }, + { + "epoch": 2.4690026954177897, + "grad_norm": 0.6051239967346191, + "learning_rate": 0.000452399352401511, + "loss": 3.563, + "step": 22900 + }, + { + "epoch": 2.4743935309973044, + "grad_norm": 0.5919761061668396, + "learning_rate": 0.0004520755531570426, + "loss": 3.5611, + "step": 22950 + }, + { + "epoch": 2.4797843665768196, + "grad_norm": 0.5852389335632324, + "learning_rate": 0.00045175822989746355, + "loss": 3.5529, + "step": 23000 + }, + { + "epoch": 2.4797843665768196, + "eval_accuracy": 0.3654994050711128, + "eval_loss": 3.5451345443725586, + "eval_runtime": 144.5225, + "eval_samples_per_second": 124.624, + "eval_steps_per_second": 7.791, + "step": 23000 + }, + { + "epoch": 2.4851752021563343, + "grad_norm": 0.5408614873886108, + "learning_rate": 0.0004514344306529951, + "loss": 3.5645, + "step": 23050 + }, + { + "epoch": 2.490566037735849, + "grad_norm": 0.5751845836639404, + "learning_rate": 0.0004511106314085267, + "loss": 3.5671, + "step": 23100 + }, + { + "epoch": 2.4959568733153636, + "grad_norm": 0.5665581226348877, + "learning_rate": 0.00045078683216405826, + "loss": 3.5651, + "step": 23150 + }, + { + "epoch": 2.501347708894879, + "grad_norm": 0.5446679592132568, + "learning_rate": 0.00045046303291958976, + "loss": 3.5602, + "step": 23200 + }, + { + "epoch": 2.5067385444743935, + "grad_norm": 0.6096646189689636, + "learning_rate": 0.0004501392336751214, + "loss": 3.5606, + "step": 23250 + }, + { + "epoch": 2.512129380053908, + "grad_norm": 0.5711411237716675, + "learning_rate": 0.0004498154344306529, + "loss": 3.5462, + "step": 23300 + }, + { + "epoch": 2.5175202156334233, + "grad_norm": 0.5946795344352722, + "learning_rate": 0.0004494916351861845, + "loss": 3.5517, + "step": 23350 + }, + { + "epoch": 2.522911051212938, + "grad_norm": 0.6075916886329651, + "learning_rate": 0.00044916783594171607, + "loss": 3.5477, + "step": 23400 + }, + { + "epoch": 2.5283018867924527, + "grad_norm": 0.5496644377708435, + "learning_rate": 0.00044884403669724767, + "loss": 3.5583, + "step": 23450 + }, + { + "epoch": 2.533692722371968, + "grad_norm": 0.5712068676948547, + "learning_rate": 0.0004485202374527792, + "loss": 3.5607, + "step": 23500 + }, + { + "epoch": 2.5390835579514826, + "grad_norm": 0.5820903182029724, + "learning_rate": 0.00044819643820831083, + "loss": 3.5643, + "step": 23550 + }, + { + "epoch": 2.5444743935309972, + "grad_norm": 0.5886263847351074, + "learning_rate": 0.0004478726389638424, + "loss": 3.5662, + "step": 23600 + }, + { + "epoch": 2.5498652291105124, + "grad_norm": 0.5735592842102051, + "learning_rate": 0.00044754883971937393, + "loss": 3.5579, + "step": 23650 + }, + { + "epoch": 2.555256064690027, + "grad_norm": 0.6012240052223206, + "learning_rate": 0.00044722504047490553, + "loss": 3.5642, + "step": 23700 + }, + { + "epoch": 2.560646900269542, + "grad_norm": 0.5736075639724731, + "learning_rate": 0.0004469012412304371, + "loss": 3.5574, + "step": 23750 + }, + { + "epoch": 2.5660377358490565, + "grad_norm": 0.6146102547645569, + "learning_rate": 0.0004465774419859687, + "loss": 3.5704, + "step": 23800 + }, + { + "epoch": 2.571428571428571, + "grad_norm": 0.5984640717506409, + "learning_rate": 0.00044625364274150024, + "loss": 3.5763, + "step": 23850 + }, + { + "epoch": 2.5768194070080863, + "grad_norm": 0.5764756798744202, + "learning_rate": 0.00044592984349703184, + "loss": 3.5746, + "step": 23900 + }, + { + "epoch": 2.582210242587601, + "grad_norm": 0.6541941165924072, + "learning_rate": 0.00044560604425256334, + "loss": 3.55, + "step": 23950 + }, + { + "epoch": 2.5876010781671157, + "grad_norm": 0.5598556399345398, + "learning_rate": 0.000445282245008095, + "loss": 3.5466, + "step": 24000 + }, + { + "epoch": 2.5876010781671157, + "eval_accuracy": 0.36651433169618786, + "eval_loss": 3.5378851890563965, + "eval_runtime": 144.1764, + "eval_samples_per_second": 124.923, + "eval_steps_per_second": 7.81, + "step": 24000 + }, + { + "epoch": 2.592991913746631, + "grad_norm": 0.6188113689422607, + "learning_rate": 0.0004449584457636265, + "loss": 3.5458, + "step": 24050 + }, + { + "epoch": 2.5983827493261455, + "grad_norm": 0.5713769197463989, + "learning_rate": 0.00044463464651915805, + "loss": 3.5473, + "step": 24100 + }, + { + "epoch": 2.6037735849056602, + "grad_norm": 0.5993424654006958, + "learning_rate": 0.00044431084727468965, + "loss": 3.5493, + "step": 24150 + }, + { + "epoch": 2.6091644204851754, + "grad_norm": 0.6186326146125793, + "learning_rate": 0.0004439870480302212, + "loss": 3.5668, + "step": 24200 + }, + { + "epoch": 2.61455525606469, + "grad_norm": 0.5661455392837524, + "learning_rate": 0.0004436632487857528, + "loss": 3.5703, + "step": 24250 + }, + { + "epoch": 2.6199460916442048, + "grad_norm": 0.6343756318092346, + "learning_rate": 0.00044333944954128436, + "loss": 3.5559, + "step": 24300 + }, + { + "epoch": 2.62533692722372, + "grad_norm": 0.5699751377105713, + "learning_rate": 0.00044301565029681596, + "loss": 3.5509, + "step": 24350 + }, + { + "epoch": 2.6307277628032346, + "grad_norm": 0.5953941941261292, + "learning_rate": 0.0004426918510523475, + "loss": 3.5609, + "step": 24400 + }, + { + "epoch": 2.6361185983827493, + "grad_norm": 0.5832213163375854, + "learning_rate": 0.0004423680518078791, + "loss": 3.531, + "step": 24450 + }, + { + "epoch": 2.641509433962264, + "grad_norm": 0.6015488505363464, + "learning_rate": 0.00044204425256341067, + "loss": 3.5396, + "step": 24500 + }, + { + "epoch": 2.6469002695417787, + "grad_norm": 0.6897053718566895, + "learning_rate": 0.0004417204533189422, + "loss": 3.5562, + "step": 24550 + }, + { + "epoch": 2.652291105121294, + "grad_norm": 0.5880343317985535, + "learning_rate": 0.0004413966540744738, + "loss": 3.5371, + "step": 24600 + }, + { + "epoch": 2.6576819407008085, + "grad_norm": 0.574292778968811, + "learning_rate": 0.0004410728548300053, + "loss": 3.5532, + "step": 24650 + }, + { + "epoch": 2.6630727762803232, + "grad_norm": 0.6216583251953125, + "learning_rate": 0.0004407490555855369, + "loss": 3.5528, + "step": 24700 + }, + { + "epoch": 2.6684636118598384, + "grad_norm": 0.6199180483818054, + "learning_rate": 0.0004404252563410685, + "loss": 3.5568, + "step": 24750 + }, + { + "epoch": 2.673854447439353, + "grad_norm": 0.6043687462806702, + "learning_rate": 0.0004401014570966001, + "loss": 3.5543, + "step": 24800 + }, + { + "epoch": 2.6792452830188678, + "grad_norm": 0.5746572613716125, + "learning_rate": 0.00043977765785213163, + "loss": 3.5559, + "step": 24850 + }, + { + "epoch": 2.684636118598383, + "grad_norm": 0.5911267995834351, + "learning_rate": 0.0004394538586076632, + "loss": 3.5716, + "step": 24900 + }, + { + "epoch": 2.6900269541778976, + "grad_norm": 0.5925143361091614, + "learning_rate": 0.0004391300593631948, + "loss": 3.5607, + "step": 24950 + }, + { + "epoch": 2.6954177897574123, + "grad_norm": 0.5580176711082458, + "learning_rate": 0.00043880626011872634, + "loss": 3.555, + "step": 25000 + }, + { + "epoch": 2.6954177897574123, + "eval_accuracy": 0.36743233994533236, + "eval_loss": 3.5253796577453613, + "eval_runtime": 144.4202, + "eval_samples_per_second": 124.712, + "eval_steps_per_second": 7.797, + "step": 25000 + }, + { + "epoch": 2.7008086253369274, + "grad_norm": 0.576725959777832, + "learning_rate": 0.0004384889368591473, + "loss": 3.5449, + "step": 25050 + }, + { + "epoch": 2.706199460916442, + "grad_norm": 0.545190691947937, + "learning_rate": 0.0004381651376146789, + "loss": 3.5538, + "step": 25100 + }, + { + "epoch": 2.711590296495957, + "grad_norm": 0.5915215611457825, + "learning_rate": 0.00043784133837021044, + "loss": 3.5311, + "step": 25150 + }, + { + "epoch": 2.7169811320754715, + "grad_norm": 0.6212695837020874, + "learning_rate": 0.00043751753912574205, + "loss": 3.5534, + "step": 25200 + }, + { + "epoch": 2.7223719676549867, + "grad_norm": 0.5867090225219727, + "learning_rate": 0.0004371937398812736, + "loss": 3.5584, + "step": 25250 + }, + { + "epoch": 2.7277628032345014, + "grad_norm": 0.5455405116081238, + "learning_rate": 0.0004368699406368051, + "loss": 3.5605, + "step": 25300 + }, + { + "epoch": 2.733153638814016, + "grad_norm": 0.6148755550384521, + "learning_rate": 0.0004365461413923367, + "loss": 3.5503, + "step": 25350 + }, + { + "epoch": 2.7385444743935308, + "grad_norm": 0.6133694052696228, + "learning_rate": 0.00043622234214786825, + "loss": 3.5414, + "step": 25400 + }, + { + "epoch": 2.743935309973046, + "grad_norm": 0.5954641699790955, + "learning_rate": 0.00043589854290339985, + "loss": 3.5439, + "step": 25450 + }, + { + "epoch": 2.7493261455525606, + "grad_norm": 0.5887457728385925, + "learning_rate": 0.0004355747436589314, + "loss": 3.5571, + "step": 25500 + }, + { + "epoch": 2.7547169811320753, + "grad_norm": 0.573692798614502, + "learning_rate": 0.000435250944414463, + "loss": 3.5495, + "step": 25550 + }, + { + "epoch": 2.7601078167115904, + "grad_norm": 0.5801973938941956, + "learning_rate": 0.00043492714516999456, + "loss": 3.5522, + "step": 25600 + }, + { + "epoch": 2.765498652291105, + "grad_norm": 0.583278238773346, + "learning_rate": 0.0004346033459255261, + "loss": 3.5448, + "step": 25650 + }, + { + "epoch": 2.77088948787062, + "grad_norm": 0.6692058444023132, + "learning_rate": 0.0004342795466810577, + "loss": 3.5509, + "step": 25700 + }, + { + "epoch": 2.776280323450135, + "grad_norm": 0.609228253364563, + "learning_rate": 0.00043395574743658927, + "loss": 3.5385, + "step": 25750 + }, + { + "epoch": 2.7816711590296497, + "grad_norm": 0.5607845187187195, + "learning_rate": 0.00043363194819212087, + "loss": 3.5623, + "step": 25800 + }, + { + "epoch": 2.7870619946091644, + "grad_norm": 0.5615296363830566, + "learning_rate": 0.0004333081489476524, + "loss": 3.5353, + "step": 25850 + }, + { + "epoch": 2.7924528301886795, + "grad_norm": 0.5903550982475281, + "learning_rate": 0.000432984349703184, + "loss": 3.5447, + "step": 25900 + }, + { + "epoch": 2.797843665768194, + "grad_norm": 0.6404184103012085, + "learning_rate": 0.0004326605504587155, + "loss": 3.5401, + "step": 25950 + }, + { + "epoch": 2.803234501347709, + "grad_norm": 0.5671994090080261, + "learning_rate": 0.0004323367512142472, + "loss": 3.5597, + "step": 26000 + }, + { + "epoch": 2.803234501347709, + "eval_accuracy": 0.36840749961346736, + "eval_loss": 3.5180230140686035, + "eval_runtime": 144.5115, + "eval_samples_per_second": 124.634, + "eval_steps_per_second": 7.792, + "step": 26000 + }, + { + "epoch": 2.8086253369272236, + "grad_norm": 0.5972022414207458, + "learning_rate": 0.0004320129519697787, + "loss": 3.5636, + "step": 26050 + }, + { + "epoch": 2.8140161725067383, + "grad_norm": 0.5757322907447815, + "learning_rate": 0.00043168915272531023, + "loss": 3.5479, + "step": 26100 + }, + { + "epoch": 2.8194070080862534, + "grad_norm": 0.5859302282333374, + "learning_rate": 0.00043136535348084183, + "loss": 3.5425, + "step": 26150 + }, + { + "epoch": 2.824797843665768, + "grad_norm": 0.5637912154197693, + "learning_rate": 0.0004310415542363734, + "loss": 3.555, + "step": 26200 + }, + { + "epoch": 2.830188679245283, + "grad_norm": 0.5691296458244324, + "learning_rate": 0.000430717754991905, + "loss": 3.5357, + "step": 26250 + }, + { + "epoch": 2.835579514824798, + "grad_norm": 0.6390897631645203, + "learning_rate": 0.00043039395574743654, + "loss": 3.5369, + "step": 26300 + }, + { + "epoch": 2.8409703504043127, + "grad_norm": 0.6023745536804199, + "learning_rate": 0.00043007015650296814, + "loss": 3.5569, + "step": 26350 + }, + { + "epoch": 2.8463611859838274, + "grad_norm": 0.5968989133834839, + "learning_rate": 0.0004297463572584997, + "loss": 3.5324, + "step": 26400 + }, + { + "epoch": 2.8517520215633425, + "grad_norm": 0.5747265219688416, + "learning_rate": 0.0004294225580140313, + "loss": 3.5554, + "step": 26450 + }, + { + "epoch": 2.857142857142857, + "grad_norm": 0.5473029017448425, + "learning_rate": 0.00042909875876956285, + "loss": 3.5601, + "step": 26500 + }, + { + "epoch": 2.862533692722372, + "grad_norm": 0.6153762936592102, + "learning_rate": 0.0004287749595250944, + "loss": 3.5416, + "step": 26550 + }, + { + "epoch": 2.867924528301887, + "grad_norm": 0.5814242959022522, + "learning_rate": 0.000428451160280626, + "loss": 3.5436, + "step": 26600 + }, + { + "epoch": 2.8733153638814017, + "grad_norm": 0.544052243232727, + "learning_rate": 0.0004281273610361575, + "loss": 3.5283, + "step": 26650 + }, + { + "epoch": 2.8787061994609164, + "grad_norm": 0.580087423324585, + "learning_rate": 0.0004278035617916891, + "loss": 3.5665, + "step": 26700 + }, + { + "epoch": 2.884097035040431, + "grad_norm": 0.606545627117157, + "learning_rate": 0.00042747976254722066, + "loss": 3.5333, + "step": 26750 + }, + { + "epoch": 2.889487870619946, + "grad_norm": 0.5613415241241455, + "learning_rate": 0.00042715596330275226, + "loss": 3.5188, + "step": 26800 + }, + { + "epoch": 2.894878706199461, + "grad_norm": 0.5772558450698853, + "learning_rate": 0.0004268321640582838, + "loss": 3.521, + "step": 26850 + }, + { + "epoch": 2.9002695417789757, + "grad_norm": 0.5379123091697693, + "learning_rate": 0.0004265083648138154, + "loss": 3.5405, + "step": 26900 + }, + { + "epoch": 2.9056603773584904, + "grad_norm": 0.5935842394828796, + "learning_rate": 0.00042618456556934697, + "loss": 3.5612, + "step": 26950 + }, + { + "epoch": 2.9110512129380055, + "grad_norm": 0.622439444065094, + "learning_rate": 0.0004258607663248785, + "loss": 3.5422, + "step": 27000 + }, + { + "epoch": 2.9110512129380055, + "eval_accuracy": 0.3692755275342172, + "eval_loss": 3.508702039718628, + "eval_runtime": 144.9148, + "eval_samples_per_second": 124.287, + "eval_steps_per_second": 7.77, + "step": 27000 + }, + { + "epoch": 2.91644204851752, + "grad_norm": 0.6212618947029114, + "learning_rate": 0.00042554344306529947, + "loss": 3.531, + "step": 27050 + }, + { + "epoch": 2.921832884097035, + "grad_norm": 0.6010525226593018, + "learning_rate": 0.0004252196438208311, + "loss": 3.5393, + "step": 27100 + }, + { + "epoch": 2.92722371967655, + "grad_norm": 0.5927774310112, + "learning_rate": 0.0004248958445763626, + "loss": 3.5333, + "step": 27150 + }, + { + "epoch": 2.9326145552560647, + "grad_norm": 0.6531330347061157, + "learning_rate": 0.00042457204533189423, + "loss": 3.5434, + "step": 27200 + }, + { + "epoch": 2.9380053908355794, + "grad_norm": 0.584989607334137, + "learning_rate": 0.0004242482460874258, + "loss": 3.5498, + "step": 27250 + }, + { + "epoch": 2.9433962264150946, + "grad_norm": 0.6219198107719421, + "learning_rate": 0.0004239244468429573, + "loss": 3.5142, + "step": 27300 + }, + { + "epoch": 2.9487870619946093, + "grad_norm": 0.6168526411056519, + "learning_rate": 0.0004236006475984889, + "loss": 3.5346, + "step": 27350 + }, + { + "epoch": 2.954177897574124, + "grad_norm": 0.583755373954773, + "learning_rate": 0.00042327684835402043, + "loss": 3.5291, + "step": 27400 + }, + { + "epoch": 2.9595687331536387, + "grad_norm": 0.6100607514381409, + "learning_rate": 0.00042295304910955204, + "loss": 3.5208, + "step": 27450 + }, + { + "epoch": 2.964959568733154, + "grad_norm": 0.5626996159553528, + "learning_rate": 0.0004226292498650836, + "loss": 3.5461, + "step": 27500 + }, + { + "epoch": 2.9703504043126685, + "grad_norm": 0.5924006700515747, + "learning_rate": 0.0004223054506206152, + "loss": 3.5485, + "step": 27550 + }, + { + "epoch": 2.975741239892183, + "grad_norm": 0.5733758807182312, + "learning_rate": 0.00042198165137614674, + "loss": 3.5297, + "step": 27600 + }, + { + "epoch": 2.981132075471698, + "grad_norm": 0.6193982362747192, + "learning_rate": 0.00042165785213167835, + "loss": 3.5365, + "step": 27650 + }, + { + "epoch": 2.986522911051213, + "grad_norm": 0.5635408759117126, + "learning_rate": 0.0004213340528872099, + "loss": 3.5253, + "step": 27700 + }, + { + "epoch": 2.9919137466307277, + "grad_norm": 0.6305370926856995, + "learning_rate": 0.00042101025364274145, + "loss": 3.5239, + "step": 27750 + }, + { + "epoch": 2.9973045822102424, + "grad_norm": 0.581883430480957, + "learning_rate": 0.00042068645439827305, + "loss": 3.5336, + "step": 27800 + }, + { + "epoch": 3.0026954177897576, + "grad_norm": 0.5631284713745117, + "learning_rate": 0.0004203626551538046, + "loss": 3.4953, + "step": 27850 + }, + { + "epoch": 3.0080862533692723, + "grad_norm": 0.6554384827613831, + "learning_rate": 0.0004200388559093362, + "loss": 3.4436, + "step": 27900 + }, + { + "epoch": 3.013477088948787, + "grad_norm": 0.5941973924636841, + "learning_rate": 0.0004197150566648677, + "loss": 3.4446, + "step": 27950 + }, + { + "epoch": 3.018867924528302, + "grad_norm": 0.5603510141372681, + "learning_rate": 0.00041939125742039936, + "loss": 3.4422, + "step": 28000 + }, + { + "epoch": 3.018867924528302, + "eval_accuracy": 0.3700082826096381, + "eval_loss": 3.5040652751922607, + "eval_runtime": 144.5182, + "eval_samples_per_second": 124.628, + "eval_steps_per_second": 7.791, + "step": 28000 + }, + { + "epoch": 3.024258760107817, + "grad_norm": 0.58504718542099, + "learning_rate": 0.00041906745817593086, + "loss": 3.442, + "step": 28050 + }, + { + "epoch": 3.0296495956873315, + "grad_norm": 0.590460479259491, + "learning_rate": 0.00041874365893146247, + "loss": 3.4482, + "step": 28100 + }, + { + "epoch": 3.035040431266846, + "grad_norm": 0.5873590707778931, + "learning_rate": 0.000418419859686994, + "loss": 3.4321, + "step": 28150 + }, + { + "epoch": 3.0404312668463613, + "grad_norm": 0.5897404551506042, + "learning_rate": 0.00041809606044252557, + "loss": 3.45, + "step": 28200 + }, + { + "epoch": 3.045822102425876, + "grad_norm": 0.5874994397163391, + "learning_rate": 0.00041777226119805717, + "loss": 3.4424, + "step": 28250 + }, + { + "epoch": 3.0512129380053907, + "grad_norm": 0.5833684206008911, + "learning_rate": 0.0004174484619535887, + "loss": 3.4642, + "step": 28300 + }, + { + "epoch": 3.056603773584906, + "grad_norm": 0.609053909778595, + "learning_rate": 0.00041712466270912033, + "loss": 3.4483, + "step": 28350 + }, + { + "epoch": 3.0619946091644206, + "grad_norm": 0.5735374093055725, + "learning_rate": 0.0004168008634646519, + "loss": 3.4695, + "step": 28400 + }, + { + "epoch": 3.0673854447439353, + "grad_norm": 0.60845947265625, + "learning_rate": 0.0004164770642201835, + "loss": 3.4465, + "step": 28450 + }, + { + "epoch": 3.07277628032345, + "grad_norm": 0.6065637469291687, + "learning_rate": 0.00041615326497571503, + "loss": 3.4424, + "step": 28500 + }, + { + "epoch": 3.078167115902965, + "grad_norm": 0.5800220370292664, + "learning_rate": 0.0004158294657312466, + "loss": 3.443, + "step": 28550 + }, + { + "epoch": 3.08355795148248, + "grad_norm": 0.6139459609985352, + "learning_rate": 0.0004155056664867782, + "loss": 3.4636, + "step": 28600 + }, + { + "epoch": 3.0889487870619945, + "grad_norm": 0.6870418190956116, + "learning_rate": 0.0004151818672423097, + "loss": 3.4479, + "step": 28650 + }, + { + "epoch": 3.0943396226415096, + "grad_norm": 0.5827794075012207, + "learning_rate": 0.0004148580679978413, + "loss": 3.4704, + "step": 28700 + }, + { + "epoch": 3.0997304582210243, + "grad_norm": 0.5892341732978821, + "learning_rate": 0.00041453426875337284, + "loss": 3.4355, + "step": 28750 + }, + { + "epoch": 3.105121293800539, + "grad_norm": 0.5540435314178467, + "learning_rate": 0.00041421046950890445, + "loss": 3.4644, + "step": 28800 + }, + { + "epoch": 3.1105121293800537, + "grad_norm": 0.6163308024406433, + "learning_rate": 0.000413886670264436, + "loss": 3.4522, + "step": 28850 + }, + { + "epoch": 3.115902964959569, + "grad_norm": 0.5884636640548706, + "learning_rate": 0.0004135628710199676, + "loss": 3.4664, + "step": 28900 + }, + { + "epoch": 3.1212938005390836, + "grad_norm": 0.6189049482345581, + "learning_rate": 0.00041323907177549915, + "loss": 3.465, + "step": 28950 + }, + { + "epoch": 3.1266846361185983, + "grad_norm": 0.6232777833938599, + "learning_rate": 0.0004129152725310307, + "loss": 3.4594, + "step": 29000 + }, + { + "epoch": 3.1266846361185983, + "eval_accuracy": 0.37088217778633, + "eval_loss": 3.4994044303894043, + "eval_runtime": 145.0712, + "eval_samples_per_second": 124.153, + "eval_steps_per_second": 7.762, + "step": 29000 + }, + { + "epoch": 3.1320754716981134, + "grad_norm": 0.6272684335708618, + "learning_rate": 0.00041259794927145165, + "loss": 3.4647, + "step": 29050 + }, + { + "epoch": 3.137466307277628, + "grad_norm": 0.5963659882545471, + "learning_rate": 0.00041227415002698326, + "loss": 3.4641, + "step": 29100 + }, + { + "epoch": 3.142857142857143, + "grad_norm": 0.5980457663536072, + "learning_rate": 0.0004119503507825148, + "loss": 3.4658, + "step": 29150 + }, + { + "epoch": 3.1482479784366575, + "grad_norm": 0.6148801445960999, + "learning_rate": 0.00041163302752293576, + "loss": 3.4656, + "step": 29200 + }, + { + "epoch": 3.1536388140161726, + "grad_norm": 0.6103987693786621, + "learning_rate": 0.00041130922827846726, + "loss": 3.4807, + "step": 29250 + }, + { + "epoch": 3.1590296495956873, + "grad_norm": 0.6764293313026428, + "learning_rate": 0.0004109854290339989, + "loss": 3.4681, + "step": 29300 + }, + { + "epoch": 3.164420485175202, + "grad_norm": 0.5955349802970886, + "learning_rate": 0.0004106616297895304, + "loss": 3.4627, + "step": 29350 + }, + { + "epoch": 3.169811320754717, + "grad_norm": 0.5901073813438416, + "learning_rate": 0.000410337830545062, + "loss": 3.4575, + "step": 29400 + }, + { + "epoch": 3.175202156334232, + "grad_norm": 0.6012365818023682, + "learning_rate": 0.00041001403130059357, + "loss": 3.4659, + "step": 29450 + }, + { + "epoch": 3.1805929919137466, + "grad_norm": 0.6144543886184692, + "learning_rate": 0.00040969023205612517, + "loss": 3.4615, + "step": 29500 + }, + { + "epoch": 3.1859838274932613, + "grad_norm": 0.7040764689445496, + "learning_rate": 0.0004093664328116567, + "loss": 3.4752, + "step": 29550 + }, + { + "epoch": 3.1913746630727764, + "grad_norm": 0.6097145676612854, + "learning_rate": 0.00040904263356718833, + "loss": 3.4716, + "step": 29600 + }, + { + "epoch": 3.196765498652291, + "grad_norm": 0.6183958649635315, + "learning_rate": 0.0004087188343227199, + "loss": 3.4591, + "step": 29650 + }, + { + "epoch": 3.202156334231806, + "grad_norm": 0.6033417582511902, + "learning_rate": 0.00040839503507825143, + "loss": 3.4897, + "step": 29700 + }, + { + "epoch": 3.207547169811321, + "grad_norm": 0.6251811981201172, + "learning_rate": 0.00040807123583378303, + "loss": 3.4603, + "step": 29750 + }, + { + "epoch": 3.2129380053908356, + "grad_norm": 0.6118080019950867, + "learning_rate": 0.0004077474365893146, + "loss": 3.4704, + "step": 29800 + }, + { + "epoch": 3.2183288409703503, + "grad_norm": 0.6248761415481567, + "learning_rate": 0.0004074236373448462, + "loss": 3.4467, + "step": 29850 + }, + { + "epoch": 3.223719676549865, + "grad_norm": 0.6107171177864075, + "learning_rate": 0.00040709983810037774, + "loss": 3.4591, + "step": 29900 + }, + { + "epoch": 3.22911051212938, + "grad_norm": 0.6119734644889832, + "learning_rate": 0.00040677603885590934, + "loss": 3.4716, + "step": 29950 + }, + { + "epoch": 3.234501347708895, + "grad_norm": 0.6032190918922424, + "learning_rate": 0.00040645223961144084, + "loss": 3.4767, + "step": 30000 + }, + { + "epoch": 3.234501347708895, + "eval_accuracy": 0.37148009462797305, + "eval_loss": 3.493159770965576, + "eval_runtime": 144.5095, + "eval_samples_per_second": 124.635, + "eval_steps_per_second": 7.792, + "step": 30000 + }, + { + "epoch": 3.2398921832884096, + "grad_norm": 0.6084169149398804, + "learning_rate": 0.0004061284403669725, + "loss": 3.4791, + "step": 30050 + }, + { + "epoch": 3.2452830188679247, + "grad_norm": 0.5927680730819702, + "learning_rate": 0.000405804641122504, + "loss": 3.4603, + "step": 30100 + }, + { + "epoch": 3.2506738544474394, + "grad_norm": 0.6702844500541687, + "learning_rate": 0.00040548084187803555, + "loss": 3.4631, + "step": 30150 + }, + { + "epoch": 3.256064690026954, + "grad_norm": 0.6025919318199158, + "learning_rate": 0.00040515704263356715, + "loss": 3.4672, + "step": 30200 + }, + { + "epoch": 3.2614555256064692, + "grad_norm": 0.5886960625648499, + "learning_rate": 0.0004048332433890987, + "loss": 3.4467, + "step": 30250 + }, + { + "epoch": 3.266846361185984, + "grad_norm": 0.6077654361724854, + "learning_rate": 0.0004045094441446303, + "loss": 3.4781, + "step": 30300 + }, + { + "epoch": 3.2722371967654986, + "grad_norm": 0.5719964504241943, + "learning_rate": 0.00040418564490016186, + "loss": 3.4629, + "step": 30350 + }, + { + "epoch": 3.2776280323450133, + "grad_norm": 0.5921858549118042, + "learning_rate": 0.00040386184565569346, + "loss": 3.4642, + "step": 30400 + }, + { + "epoch": 3.2830188679245285, + "grad_norm": 0.6381065845489502, + "learning_rate": 0.000403538046411225, + "loss": 3.466, + "step": 30450 + }, + { + "epoch": 3.288409703504043, + "grad_norm": 0.6194201707839966, + "learning_rate": 0.00040321424716675656, + "loss": 3.4934, + "step": 30500 + }, + { + "epoch": 3.293800539083558, + "grad_norm": 0.6250463724136353, + "learning_rate": 0.00040289044792228817, + "loss": 3.4645, + "step": 30550 + }, + { + "epoch": 3.2991913746630726, + "grad_norm": 0.6104064583778381, + "learning_rate": 0.0004025666486778197, + "loss": 3.473, + "step": 30600 + }, + { + "epoch": 3.3045822102425877, + "grad_norm": 0.5955620408058167, + "learning_rate": 0.0004022428494333513, + "loss": 3.4611, + "step": 30650 + }, + { + "epoch": 3.3099730458221024, + "grad_norm": 0.6021254658699036, + "learning_rate": 0.0004019190501888828, + "loss": 3.4637, + "step": 30700 + }, + { + "epoch": 3.315363881401617, + "grad_norm": 0.6101205348968506, + "learning_rate": 0.0004015952509444144, + "loss": 3.4533, + "step": 30750 + }, + { + "epoch": 3.3207547169811322, + "grad_norm": 0.6132895350456238, + "learning_rate": 0.000401271451699946, + "loss": 3.4668, + "step": 30800 + }, + { + "epoch": 3.326145552560647, + "grad_norm": 0.5911172032356262, + "learning_rate": 0.0004009476524554776, + "loss": 3.4788, + "step": 30850 + }, + { + "epoch": 3.3315363881401616, + "grad_norm": 0.6629490256309509, + "learning_rate": 0.00040062385321100913, + "loss": 3.4685, + "step": 30900 + }, + { + "epoch": 3.3369272237196768, + "grad_norm": 0.6565037369728088, + "learning_rate": 0.0004003000539665407, + "loss": 3.4751, + "step": 30950 + }, + { + "epoch": 3.3423180592991915, + "grad_norm": 0.5742873549461365, + "learning_rate": 0.0003999762547220723, + "loss": 3.4629, + "step": 31000 + }, + { + "epoch": 3.3423180592991915, + "eval_accuracy": 0.3724715522292802, + "eval_loss": 3.4883720874786377, + "eval_runtime": 144.1254, + "eval_samples_per_second": 124.968, + "eval_steps_per_second": 7.813, + "step": 31000 + }, + { + "epoch": 3.347708894878706, + "grad_norm": 0.6102972030639648, + "learning_rate": 0.00039965245547760384, + "loss": 3.4736, + "step": 31050 + }, + { + "epoch": 3.353099730458221, + "grad_norm": 0.6134117245674133, + "learning_rate": 0.00039932865623313544, + "loss": 3.4616, + "step": 31100 + }, + { + "epoch": 3.358490566037736, + "grad_norm": 0.5953965783119202, + "learning_rate": 0.000399004856988667, + "loss": 3.4647, + "step": 31150 + }, + { + "epoch": 3.3638814016172507, + "grad_norm": 0.6266044974327087, + "learning_rate": 0.0003986810577441986, + "loss": 3.4725, + "step": 31200 + }, + { + "epoch": 3.3692722371967654, + "grad_norm": 0.6344805359840393, + "learning_rate": 0.00039835725849973015, + "loss": 3.4614, + "step": 31250 + }, + { + "epoch": 3.37466307277628, + "grad_norm": 0.6390222907066345, + "learning_rate": 0.0003980399352401511, + "loss": 3.4691, + "step": 31300 + }, + { + "epoch": 3.3800539083557952, + "grad_norm": 0.6394646167755127, + "learning_rate": 0.0003977161359956826, + "loss": 3.4724, + "step": 31350 + }, + { + "epoch": 3.38544474393531, + "grad_norm": 0.6056656241416931, + "learning_rate": 0.0003973923367512142, + "loss": 3.4829, + "step": 31400 + }, + { + "epoch": 3.3908355795148246, + "grad_norm": 0.6254240274429321, + "learning_rate": 0.00039706853750674575, + "loss": 3.4643, + "step": 31450 + }, + { + "epoch": 3.3962264150943398, + "grad_norm": 0.5952332615852356, + "learning_rate": 0.00039674473826227736, + "loss": 3.4635, + "step": 31500 + }, + { + "epoch": 3.4016172506738545, + "grad_norm": 0.5912657976150513, + "learning_rate": 0.0003964209390178089, + "loss": 3.4492, + "step": 31550 + }, + { + "epoch": 3.407008086253369, + "grad_norm": 0.6330773234367371, + "learning_rate": 0.0003960971397733405, + "loss": 3.4594, + "step": 31600 + }, + { + "epoch": 3.4123989218328843, + "grad_norm": 0.6112014055252075, + "learning_rate": 0.00039577334052887206, + "loss": 3.4739, + "step": 31650 + }, + { + "epoch": 3.417789757412399, + "grad_norm": 0.6433203220367432, + "learning_rate": 0.0003954495412844036, + "loss": 3.4597, + "step": 31700 + }, + { + "epoch": 3.4231805929919137, + "grad_norm": 0.6591313481330872, + "learning_rate": 0.0003951257420399352, + "loss": 3.4708, + "step": 31750 + }, + { + "epoch": 3.4285714285714284, + "grad_norm": 0.6169155836105347, + "learning_rate": 0.00039480194279546677, + "loss": 3.4686, + "step": 31800 + }, + { + "epoch": 3.4339622641509435, + "grad_norm": 0.5913453102111816, + "learning_rate": 0.00039447814355099837, + "loss": 3.457, + "step": 31850 + }, + { + "epoch": 3.439353099730458, + "grad_norm": 0.6046425104141235, + "learning_rate": 0.0003941543443065299, + "loss": 3.459, + "step": 31900 + }, + { + "epoch": 3.444743935309973, + "grad_norm": 0.5933957695960999, + "learning_rate": 0.00039383054506206153, + "loss": 3.4667, + "step": 31950 + }, + { + "epoch": 3.450134770889488, + "grad_norm": 0.5954340696334839, + "learning_rate": 0.000393506745817593, + "loss": 3.471, + "step": 32000 + }, + { + "epoch": 3.450134770889488, + "eval_accuracy": 0.37276263331573517, + "eval_loss": 3.481382131576538, + "eval_runtime": 144.5021, + "eval_samples_per_second": 124.642, + "eval_steps_per_second": 7.792, + "step": 32000 + }, + { + "epoch": 3.4555256064690028, + "grad_norm": 0.6200750470161438, + "learning_rate": 0.0003931829465731247, + "loss": 3.4648, + "step": 32050 + }, + { + "epoch": 3.4609164420485174, + "grad_norm": 0.6105481386184692, + "learning_rate": 0.0003928591473286562, + "loss": 3.4673, + "step": 32100 + }, + { + "epoch": 3.466307277628032, + "grad_norm": 0.5963844060897827, + "learning_rate": 0.00039253534808418773, + "loss": 3.4654, + "step": 32150 + }, + { + "epoch": 3.4716981132075473, + "grad_norm": 0.5792421102523804, + "learning_rate": 0.00039221154883971933, + "loss": 3.4649, + "step": 32200 + }, + { + "epoch": 3.477088948787062, + "grad_norm": 0.6019930839538574, + "learning_rate": 0.0003918877495952509, + "loss": 3.4742, + "step": 32250 + }, + { + "epoch": 3.4824797843665767, + "grad_norm": 0.6327193379402161, + "learning_rate": 0.0003915639503507825, + "loss": 3.4832, + "step": 32300 + }, + { + "epoch": 3.487870619946092, + "grad_norm": 0.6305009126663208, + "learning_rate": 0.00039124015110631404, + "loss": 3.4694, + "step": 32350 + }, + { + "epoch": 3.4932614555256065, + "grad_norm": 0.6175006628036499, + "learning_rate": 0.00039091635186184565, + "loss": 3.4701, + "step": 32400 + }, + { + "epoch": 3.498652291105121, + "grad_norm": 0.6704298257827759, + "learning_rate": 0.0003905925526173772, + "loss": 3.4508, + "step": 32450 + }, + { + "epoch": 3.5040431266846364, + "grad_norm": 0.6491182446479797, + "learning_rate": 0.0003902687533729088, + "loss": 3.4779, + "step": 32500 + }, + { + "epoch": 3.509433962264151, + "grad_norm": 0.6863692402839661, + "learning_rate": 0.00038994495412844035, + "loss": 3.4519, + "step": 32550 + }, + { + "epoch": 3.5148247978436657, + "grad_norm": 0.6133790016174316, + "learning_rate": 0.0003896211548839719, + "loss": 3.4748, + "step": 32600 + }, + { + "epoch": 3.5202156334231804, + "grad_norm": 0.62857985496521, + "learning_rate": 0.0003892973556395035, + "loss": 3.4592, + "step": 32650 + }, + { + "epoch": 3.525606469002695, + "grad_norm": 0.6060515642166138, + "learning_rate": 0.000388973556395035, + "loss": 3.456, + "step": 32700 + }, + { + "epoch": 3.5309973045822103, + "grad_norm": 0.6039831042289734, + "learning_rate": 0.0003886497571505666, + "loss": 3.4666, + "step": 32750 + }, + { + "epoch": 3.536388140161725, + "grad_norm": 0.6068740487098694, + "learning_rate": 0.00038832595790609816, + "loss": 3.4716, + "step": 32800 + }, + { + "epoch": 3.5417789757412397, + "grad_norm": 0.6067098379135132, + "learning_rate": 0.00038800215866162976, + "loss": 3.4587, + "step": 32850 + }, + { + "epoch": 3.547169811320755, + "grad_norm": 0.5945684313774109, + "learning_rate": 0.0003876783594171613, + "loss": 3.4612, + "step": 32900 + }, + { + "epoch": 3.5525606469002695, + "grad_norm": 0.6096765398979187, + "learning_rate": 0.0003873545601726929, + "loss": 3.4795, + "step": 32950 + }, + { + "epoch": 3.557951482479784, + "grad_norm": 0.6418932676315308, + "learning_rate": 0.00038703076092822447, + "loss": 3.4594, + "step": 33000 + }, + { + "epoch": 3.557951482479784, + "eval_accuracy": 0.3734538829880109, + "eval_loss": 3.475005626678467, + "eval_runtime": 144.2527, + "eval_samples_per_second": 124.857, + "eval_steps_per_second": 7.806, + "step": 33000 + }, + { + "epoch": 3.5633423180592994, + "grad_norm": 0.6273847818374634, + "learning_rate": 0.000386706961683756, + "loss": 3.461, + "step": 33050 + }, + { + "epoch": 3.568733153638814, + "grad_norm": 0.6163213849067688, + "learning_rate": 0.0003863831624392876, + "loss": 3.4814, + "step": 33100 + }, + { + "epoch": 3.5741239892183287, + "grad_norm": 0.6207212209701538, + "learning_rate": 0.0003860593631948192, + "loss": 3.4588, + "step": 33150 + }, + { + "epoch": 3.579514824797844, + "grad_norm": 0.6105016469955444, + "learning_rate": 0.0003857355639503508, + "loss": 3.4763, + "step": 33200 + }, + { + "epoch": 3.5849056603773586, + "grad_norm": 0.6159183979034424, + "learning_rate": 0.00038541176470588233, + "loss": 3.4726, + "step": 33250 + }, + { + "epoch": 3.5902964959568733, + "grad_norm": 0.6719298958778381, + "learning_rate": 0.00038508796546141393, + "loss": 3.4954, + "step": 33300 + }, + { + "epoch": 3.595687331536388, + "grad_norm": 0.6160264611244202, + "learning_rate": 0.00038476416621694543, + "loss": 3.4587, + "step": 33350 + }, + { + "epoch": 3.601078167115903, + "grad_norm": 0.6148490905761719, + "learning_rate": 0.000384440366972477, + "loss": 3.4732, + "step": 33400 + }, + { + "epoch": 3.606469002695418, + "grad_norm": 0.5894046425819397, + "learning_rate": 0.0003841165677280086, + "loss": 3.4815, + "step": 33450 + }, + { + "epoch": 3.6118598382749325, + "grad_norm": 0.6228636503219604, + "learning_rate": 0.00038379276848354014, + "loss": 3.4764, + "step": 33500 + }, + { + "epoch": 3.617250673854447, + "grad_norm": 0.6030029058456421, + "learning_rate": 0.00038346896923907174, + "loss": 3.4636, + "step": 33550 + }, + { + "epoch": 3.6226415094339623, + "grad_norm": 0.646578848361969, + "learning_rate": 0.0003831451699946033, + "loss": 3.4602, + "step": 33600 + }, + { + "epoch": 3.628032345013477, + "grad_norm": 0.6056541800498962, + "learning_rate": 0.0003828213707501349, + "loss": 3.4521, + "step": 33650 + }, + { + "epoch": 3.6334231805929917, + "grad_norm": 0.6055415868759155, + "learning_rate": 0.00038249757150566645, + "loss": 3.451, + "step": 33700 + }, + { + "epoch": 3.638814016172507, + "grad_norm": 0.624546468257904, + "learning_rate": 0.00038217377226119805, + "loss": 3.471, + "step": 33750 + }, + { + "epoch": 3.6442048517520216, + "grad_norm": 0.6001887321472168, + "learning_rate": 0.0003818499730167296, + "loss": 3.453, + "step": 33800 + }, + { + "epoch": 3.6495956873315363, + "grad_norm": 0.6137872338294983, + "learning_rate": 0.00038152617377226115, + "loss": 3.4622, + "step": 33850 + }, + { + "epoch": 3.6549865229110514, + "grad_norm": 0.5993956923484802, + "learning_rate": 0.00038120237452779276, + "loss": 3.4632, + "step": 33900 + }, + { + "epoch": 3.660377358490566, + "grad_norm": 0.6484405994415283, + "learning_rate": 0.0003808785752833243, + "loss": 3.4613, + "step": 33950 + }, + { + "epoch": 3.665768194070081, + "grad_norm": 0.6379072070121765, + "learning_rate": 0.0003805547760388559, + "loss": 3.4814, + "step": 34000 + }, + { + "epoch": 3.665768194070081, + "eval_accuracy": 0.3738812147957853, + "eval_loss": 3.4691996574401855, + "eval_runtime": 144.3217, + "eval_samples_per_second": 124.798, + "eval_steps_per_second": 7.802, + "step": 34000 + }, + { + "epoch": 3.671159029649596, + "grad_norm": 0.6134325861930847, + "learning_rate": 0.0003802309767943874, + "loss": 3.461, + "step": 34050 + }, + { + "epoch": 3.6765498652291106, + "grad_norm": 0.6350472569465637, + "learning_rate": 0.000379907177549919, + "loss": 3.471, + "step": 34100 + }, + { + "epoch": 3.6819407008086253, + "grad_norm": 0.6383688449859619, + "learning_rate": 0.00037958337830545057, + "loss": 3.4755, + "step": 34150 + }, + { + "epoch": 3.68733153638814, + "grad_norm": 0.594897449016571, + "learning_rate": 0.00037925957906098217, + "loss": 3.4756, + "step": 34200 + }, + { + "epoch": 3.6927223719676547, + "grad_norm": 0.5822266936302185, + "learning_rate": 0.0003789357798165137, + "loss": 3.4679, + "step": 34250 + }, + { + "epoch": 3.69811320754717, + "grad_norm": 0.6292484402656555, + "learning_rate": 0.00037861198057204527, + "loss": 3.4758, + "step": 34300 + }, + { + "epoch": 3.7035040431266846, + "grad_norm": 0.6565120220184326, + "learning_rate": 0.0003783011332973556, + "loss": 3.4872, + "step": 34350 + }, + { + "epoch": 3.7088948787061993, + "grad_norm": 0.638484537601471, + "learning_rate": 0.0003779773340528872, + "loss": 3.4586, + "step": 34400 + }, + { + "epoch": 3.7142857142857144, + "grad_norm": 0.623930037021637, + "learning_rate": 0.0003776535348084188, + "loss": 3.4429, + "step": 34450 + }, + { + "epoch": 3.719676549865229, + "grad_norm": 0.670249342918396, + "learning_rate": 0.00037732973556395033, + "loss": 3.4623, + "step": 34500 + }, + { + "epoch": 3.725067385444744, + "grad_norm": 0.6273740530014038, + "learning_rate": 0.0003770059363194819, + "loss": 3.4813, + "step": 34550 + }, + { + "epoch": 3.730458221024259, + "grad_norm": 0.6443477272987366, + "learning_rate": 0.0003766821370750135, + "loss": 3.47, + "step": 34600 + }, + { + "epoch": 3.7358490566037736, + "grad_norm": 0.6770917177200317, + "learning_rate": 0.000376358337830545, + "loss": 3.4468, + "step": 34650 + }, + { + "epoch": 3.7412398921832883, + "grad_norm": 0.6392006874084473, + "learning_rate": 0.00037603453858607664, + "loss": 3.4892, + "step": 34700 + }, + { + "epoch": 3.7466307277628035, + "grad_norm": 0.6437645554542542, + "learning_rate": 0.00037571073934160814, + "loss": 3.4501, + "step": 34750 + }, + { + "epoch": 3.752021563342318, + "grad_norm": 0.6367730498313904, + "learning_rate": 0.00037538694009713974, + "loss": 3.4832, + "step": 34800 + }, + { + "epoch": 3.757412398921833, + "grad_norm": 0.5876086950302124, + "learning_rate": 0.0003750631408526713, + "loss": 3.4945, + "step": 34850 + }, + { + "epoch": 3.7628032345013476, + "grad_norm": 0.6111919283866882, + "learning_rate": 0.0003747393416082029, + "loss": 3.4791, + "step": 34900 + }, + { + "epoch": 3.7681940700808623, + "grad_norm": 0.5883005857467651, + "learning_rate": 0.00037441554236373445, + "loss": 3.4586, + "step": 34950 + }, + { + "epoch": 3.7735849056603774, + "grad_norm": 0.6253954172134399, + "learning_rate": 0.000374091743119266, + "loss": 3.4593, + "step": 35000 + }, + { + "epoch": 3.7735849056603774, + "eval_accuracy": 0.37472892462651386, + "eval_loss": 3.4628891944885254, + "eval_runtime": 144.7455, + "eval_samples_per_second": 124.432, + "eval_steps_per_second": 7.779, + "step": 35000 + }, + { + "epoch": 3.778975741239892, + "grad_norm": 0.6512451767921448, + "learning_rate": 0.0003737679438747976, + "loss": 3.4804, + "step": 35050 + }, + { + "epoch": 3.784366576819407, + "grad_norm": 0.6874452829360962, + "learning_rate": 0.00037344414463032915, + "loss": 3.449, + "step": 35100 + }, + { + "epoch": 3.789757412398922, + "grad_norm": 0.6314534544944763, + "learning_rate": 0.00037312034538586076, + "loss": 3.4722, + "step": 35150 + }, + { + "epoch": 3.7951482479784366, + "grad_norm": 0.6123417019844055, + "learning_rate": 0.0003727965461413923, + "loss": 3.453, + "step": 35200 + }, + { + "epoch": 3.8005390835579513, + "grad_norm": 0.6286754012107849, + "learning_rate": 0.0003724727468969239, + "loss": 3.4793, + "step": 35250 + }, + { + "epoch": 3.8059299191374665, + "grad_norm": 0.6487993597984314, + "learning_rate": 0.00037214894765245546, + "loss": 3.4678, + "step": 35300 + }, + { + "epoch": 3.811320754716981, + "grad_norm": 0.6038015484809875, + "learning_rate": 0.00037182514840798696, + "loss": 3.4703, + "step": 35350 + }, + { + "epoch": 3.816711590296496, + "grad_norm": 0.6406208276748657, + "learning_rate": 0.00037150134916351857, + "loss": 3.4885, + "step": 35400 + }, + { + "epoch": 3.822102425876011, + "grad_norm": 0.6278253793716431, + "learning_rate": 0.0003711775499190501, + "loss": 3.4436, + "step": 35450 + }, + { + "epoch": 3.8274932614555257, + "grad_norm": 0.6240292191505432, + "learning_rate": 0.0003708537506745817, + "loss": 3.4806, + "step": 35500 + }, + { + "epoch": 3.8328840970350404, + "grad_norm": 0.6784418225288391, + "learning_rate": 0.00037052995143011327, + "loss": 3.4606, + "step": 35550 + }, + { + "epoch": 3.838274932614555, + "grad_norm": 0.6133866906166077, + "learning_rate": 0.0003702061521856449, + "loss": 3.4521, + "step": 35600 + }, + { + "epoch": 3.8436657681940702, + "grad_norm": 0.5978075861930847, + "learning_rate": 0.00036988235294117643, + "loss": 3.4653, + "step": 35650 + }, + { + "epoch": 3.849056603773585, + "grad_norm": 0.6256576180458069, + "learning_rate": 0.00036955855369670803, + "loss": 3.4603, + "step": 35700 + }, + { + "epoch": 3.8544474393530996, + "grad_norm": 0.6484295725822449, + "learning_rate": 0.0003692347544522396, + "loss": 3.4417, + "step": 35750 + }, + { + "epoch": 3.8598382749326143, + "grad_norm": 0.6462515592575073, + "learning_rate": 0.00036891095520777113, + "loss": 3.4627, + "step": 35800 + }, + { + "epoch": 3.8652291105121295, + "grad_norm": 0.6457804441452026, + "learning_rate": 0.00036858715596330274, + "loss": 3.4683, + "step": 35850 + }, + { + "epoch": 3.870619946091644, + "grad_norm": 0.618513286113739, + "learning_rate": 0.0003682633567188343, + "loss": 3.4575, + "step": 35900 + }, + { + "epoch": 3.876010781671159, + "grad_norm": 0.5929429531097412, + "learning_rate": 0.0003679395574743659, + "loss": 3.4615, + "step": 35950 + }, + { + "epoch": 3.881401617250674, + "grad_norm": 0.6334658265113831, + "learning_rate": 0.00036761575822989744, + "loss": 3.4435, + "step": 36000 + }, + { + "epoch": 3.881401617250674, + "eval_accuracy": 0.3755860872584823, + "eval_loss": 3.4560911655426025, + "eval_runtime": 144.1446, + "eval_samples_per_second": 124.951, + "eval_steps_per_second": 7.812, + "step": 36000 + }, + { + "epoch": 3.8867924528301887, + "grad_norm": 0.6168849468231201, + "learning_rate": 0.00036729195898542905, + "loss": 3.4479, + "step": 36050 + }, + { + "epoch": 3.8921832884097034, + "grad_norm": 0.6238396167755127, + "learning_rate": 0.00036696815974096055, + "loss": 3.4723, + "step": 36100 + }, + { + "epoch": 3.8975741239892185, + "grad_norm": 0.6613624691963196, + "learning_rate": 0.00036664436049649215, + "loss": 3.4614, + "step": 36150 + }, + { + "epoch": 3.9029649595687332, + "grad_norm": 0.5860582590103149, + "learning_rate": 0.0003663205612520237, + "loss": 3.4426, + "step": 36200 + }, + { + "epoch": 3.908355795148248, + "grad_norm": 0.617758572101593, + "learning_rate": 0.00036599676200755525, + "loss": 3.4478, + "step": 36250 + }, + { + "epoch": 3.913746630727763, + "grad_norm": 0.6506857872009277, + "learning_rate": 0.00036567296276308686, + "loss": 3.4601, + "step": 36300 + }, + { + "epoch": 3.9191374663072778, + "grad_norm": 0.6125609278678894, + "learning_rate": 0.0003653491635186184, + "loss": 3.4523, + "step": 36350 + }, + { + "epoch": 3.9245283018867925, + "grad_norm": 0.6411651372909546, + "learning_rate": 0.00036502536427415, + "loss": 3.454, + "step": 36400 + }, + { + "epoch": 3.929919137466307, + "grad_norm": 0.637863278388977, + "learning_rate": 0.00036470156502968156, + "loss": 3.4599, + "step": 36450 + }, + { + "epoch": 3.935309973045822, + "grad_norm": 0.6554402112960815, + "learning_rate": 0.00036437776578521317, + "loss": 3.4673, + "step": 36500 + }, + { + "epoch": 3.940700808625337, + "grad_norm": 0.6139333248138428, + "learning_rate": 0.0003640539665407447, + "loss": 3.4545, + "step": 36550 + }, + { + "epoch": 3.9460916442048517, + "grad_norm": 0.6386415958404541, + "learning_rate": 0.0003637301672962763, + "loss": 3.4653, + "step": 36600 + }, + { + "epoch": 3.9514824797843664, + "grad_norm": 0.62546706199646, + "learning_rate": 0.00036340636805180787, + "loss": 3.4614, + "step": 36650 + }, + { + "epoch": 3.9568733153638815, + "grad_norm": 0.5943716168403625, + "learning_rate": 0.00036308256880733937, + "loss": 3.4583, + "step": 36700 + }, + { + "epoch": 3.9622641509433962, + "grad_norm": 0.6002622842788696, + "learning_rate": 0.000362758769562871, + "loss": 3.4477, + "step": 36750 + }, + { + "epoch": 3.967654986522911, + "grad_norm": 0.7137020826339722, + "learning_rate": 0.0003624349703184025, + "loss": 3.4475, + "step": 36800 + }, + { + "epoch": 3.973045822102426, + "grad_norm": 0.6767378449440002, + "learning_rate": 0.00036211117107393413, + "loss": 3.4445, + "step": 36850 + }, + { + "epoch": 3.9784366576819408, + "grad_norm": 0.6204874515533447, + "learning_rate": 0.0003617873718294657, + "loss": 3.4594, + "step": 36900 + }, + { + "epoch": 3.9838274932614555, + "grad_norm": 0.6272158026695251, + "learning_rate": 0.0003614635725849973, + "loss": 3.4718, + "step": 36950 + }, + { + "epoch": 3.9892183288409706, + "grad_norm": 0.6251803636550903, + "learning_rate": 0.00036113977334052883, + "loss": 3.4633, + "step": 37000 + }, + { + "epoch": 3.9892183288409706, + "eval_accuracy": 0.37588879420393345, + "eval_loss": 3.4493606090545654, + "eval_runtime": 144.3787, + "eval_samples_per_second": 124.748, + "eval_steps_per_second": 7.799, + "step": 37000 + }, + { + "epoch": 3.9946091644204853, + "grad_norm": 0.5956203937530518, + "learning_rate": 0.0003608159740960604, + "loss": 3.4618, + "step": 37050 + }, + { + "epoch": 4.0, + "grad_norm": 1.227440595626831, + "learning_rate": 0.000360492174851592, + "loss": 3.4529, + "step": 37100 + }, + { + "epoch": 4.005390835579515, + "grad_norm": 0.5926157236099243, + "learning_rate": 0.00036016837560712354, + "loss": 3.3682, + "step": 37150 + }, + { + "epoch": 4.010781671159029, + "grad_norm": 0.6577735543251038, + "learning_rate": 0.00035984457636265515, + "loss": 3.3682, + "step": 37200 + }, + { + "epoch": 4.0161725067385445, + "grad_norm": 0.6370235681533813, + "learning_rate": 0.0003595207771181867, + "loss": 3.3643, + "step": 37250 + }, + { + "epoch": 4.02156334231806, + "grad_norm": 0.6772335767745972, + "learning_rate": 0.0003591969778737183, + "loss": 3.3448, + "step": 37300 + }, + { + "epoch": 4.026954177897574, + "grad_norm": 0.6929683089256287, + "learning_rate": 0.00035887317862924985, + "loss": 3.3728, + "step": 37350 + }, + { + "epoch": 4.032345013477089, + "grad_norm": 0.6454404592514038, + "learning_rate": 0.00035854937938478146, + "loss": 3.379, + "step": 37400 + }, + { + "epoch": 4.037735849056604, + "grad_norm": 0.6357432007789612, + "learning_rate": 0.00035822558014031295, + "loss": 3.3648, + "step": 37450 + }, + { + "epoch": 4.0431266846361185, + "grad_norm": 0.6574638485908508, + "learning_rate": 0.0003579017808958445, + "loss": 3.3803, + "step": 37500 + }, + { + "epoch": 4.048517520215634, + "grad_norm": 0.6872835755348206, + "learning_rate": 0.0003575779816513761, + "loss": 3.3717, + "step": 37550 + }, + { + "epoch": 4.053908355795148, + "grad_norm": 0.6696375012397766, + "learning_rate": 0.00035725418240690766, + "loss": 3.3657, + "step": 37600 + }, + { + "epoch": 4.059299191374663, + "grad_norm": 0.6354072690010071, + "learning_rate": 0.00035693038316243926, + "loss": 3.3803, + "step": 37650 + }, + { + "epoch": 4.064690026954178, + "grad_norm": 0.6598987579345703, + "learning_rate": 0.0003566065839179708, + "loss": 3.3848, + "step": 37700 + }, + { + "epoch": 4.070080862533692, + "grad_norm": 0.6303004026412964, + "learning_rate": 0.0003562827846735024, + "loss": 3.3634, + "step": 37750 + }, + { + "epoch": 4.0754716981132075, + "grad_norm": 0.7050724029541016, + "learning_rate": 0.00035595898542903397, + "loss": 3.3615, + "step": 37800 + }, + { + "epoch": 4.080862533692723, + "grad_norm": 0.6530691981315613, + "learning_rate": 0.0003556351861845656, + "loss": 3.374, + "step": 37850 + }, + { + "epoch": 4.086253369272237, + "grad_norm": 0.6223407983779907, + "learning_rate": 0.0003553113869400971, + "loss": 3.3844, + "step": 37900 + }, + { + "epoch": 4.091644204851752, + "grad_norm": 0.6723674535751343, + "learning_rate": 0.0003549875876956287, + "loss": 3.3946, + "step": 37950 + }, + { + "epoch": 4.097035040431267, + "grad_norm": 0.6736387610435486, + "learning_rate": 0.0003546637884511603, + "loss": 3.381, + "step": 38000 + }, + { + "epoch": 4.097035040431267, + "eval_accuracy": 0.37658775823124396, + "eval_loss": 3.452270984649658, + "eval_runtime": 144.6168, + "eval_samples_per_second": 124.543, + "eval_steps_per_second": 7.786, + "step": 38000 + }, + { + "epoch": 4.1024258760107815, + "grad_norm": 0.6325782537460327, + "learning_rate": 0.0003543399892066918, + "loss": 3.3755, + "step": 38050 + }, + { + "epoch": 4.107816711590297, + "grad_norm": 0.6484423279762268, + "learning_rate": 0.0003540161899622234, + "loss": 3.3826, + "step": 38100 + }, + { + "epoch": 4.113207547169812, + "grad_norm": 0.6256469488143921, + "learning_rate": 0.00035369239071775493, + "loss": 3.3744, + "step": 38150 + }, + { + "epoch": 4.118598382749326, + "grad_norm": 0.6691221594810486, + "learning_rate": 0.00035336859147328654, + "loss": 3.4009, + "step": 38200 + }, + { + "epoch": 4.123989218328841, + "grad_norm": 0.6852509379386902, + "learning_rate": 0.0003530447922288181, + "loss": 3.3919, + "step": 38250 + }, + { + "epoch": 4.129380053908355, + "grad_norm": 0.6498061418533325, + "learning_rate": 0.0003527209929843497, + "loss": 3.3943, + "step": 38300 + }, + { + "epoch": 4.1347708894878705, + "grad_norm": 0.6283285021781921, + "learning_rate": 0.00035239719373988124, + "loss": 3.3832, + "step": 38350 + }, + { + "epoch": 4.140161725067386, + "grad_norm": 0.6327186226844788, + "learning_rate": 0.0003520733944954128, + "loss": 3.3768, + "step": 38400 + }, + { + "epoch": 4.1455525606469, + "grad_norm": 0.6534860134124756, + "learning_rate": 0.0003517495952509444, + "loss": 3.3869, + "step": 38450 + }, + { + "epoch": 4.150943396226415, + "grad_norm": 0.6725557446479797, + "learning_rate": 0.00035142579600647595, + "loss": 3.3936, + "step": 38500 + }, + { + "epoch": 4.15633423180593, + "grad_norm": 0.6597609519958496, + "learning_rate": 0.00035110199676200755, + "loss": 3.3816, + "step": 38550 + }, + { + "epoch": 4.1617250673854445, + "grad_norm": 0.6526814103126526, + "learning_rate": 0.0003507781975175391, + "loss": 3.3799, + "step": 38600 + }, + { + "epoch": 4.16711590296496, + "grad_norm": 0.6776999235153198, + "learning_rate": 0.0003504543982730707, + "loss": 3.4063, + "step": 38650 + }, + { + "epoch": 4.172506738544475, + "grad_norm": 0.6845957636833191, + "learning_rate": 0.00035013059902860226, + "loss": 3.3836, + "step": 38700 + }, + { + "epoch": 4.177897574123989, + "grad_norm": 0.6326277852058411, + "learning_rate": 0.00034980679978413375, + "loss": 3.3779, + "step": 38750 + }, + { + "epoch": 4.183288409703504, + "grad_norm": 0.6746770143508911, + "learning_rate": 0.00034948300053966536, + "loss": 3.3979, + "step": 38800 + }, + { + "epoch": 4.188679245283019, + "grad_norm": 0.637310266494751, + "learning_rate": 0.0003491592012951969, + "loss": 3.4033, + "step": 38850 + }, + { + "epoch": 4.1940700808625335, + "grad_norm": 0.6572282910346985, + "learning_rate": 0.0003488354020507285, + "loss": 3.4011, + "step": 38900 + }, + { + "epoch": 4.199460916442049, + "grad_norm": 0.6860615015029907, + "learning_rate": 0.00034851160280626007, + "loss": 3.395, + "step": 38950 + }, + { + "epoch": 4.204851752021563, + "grad_norm": 0.6367702484130859, + "learning_rate": 0.00034818780356179167, + "loss": 3.3899, + "step": 39000 + }, + { + "epoch": 4.204851752021563, + "eval_accuracy": 0.37691665052265844, + "eval_loss": 3.44580340385437, + "eval_runtime": 144.2533, + "eval_samples_per_second": 124.857, + "eval_steps_per_second": 7.806, + "step": 39000 + }, + { + "epoch": 4.210242587601078, + "grad_norm": 0.6492680907249451, + "learning_rate": 0.0003478640043173232, + "loss": 3.3895, + "step": 39050 + }, + { + "epoch": 4.215633423180593, + "grad_norm": 0.5910336971282959, + "learning_rate": 0.0003475402050728548, + "loss": 3.3916, + "step": 39100 + }, + { + "epoch": 4.2210242587601075, + "grad_norm": 0.6553267240524292, + "learning_rate": 0.0003472164058283864, + "loss": 3.386, + "step": 39150 + }, + { + "epoch": 4.226415094339623, + "grad_norm": 0.6129311323165894, + "learning_rate": 0.0003468926065839179, + "loss": 3.3835, + "step": 39200 + }, + { + "epoch": 4.231805929919138, + "grad_norm": 0.6861194968223572, + "learning_rate": 0.00034656880733944953, + "loss": 3.3812, + "step": 39250 + }, + { + "epoch": 4.237196765498652, + "grad_norm": 0.6951770782470703, + "learning_rate": 0.0003462450080949811, + "loss": 3.3953, + "step": 39300 + }, + { + "epoch": 4.242587601078167, + "grad_norm": 0.6330463290214539, + "learning_rate": 0.0003459212088505127, + "loss": 3.3945, + "step": 39350 + }, + { + "epoch": 4.247978436657682, + "grad_norm": 0.6417586803436279, + "learning_rate": 0.0003455974096060442, + "loss": 3.3972, + "step": 39400 + }, + { + "epoch": 4.2533692722371965, + "grad_norm": 0.6526570320129395, + "learning_rate": 0.00034528008634646514, + "loss": 3.3888, + "step": 39450 + }, + { + "epoch": 4.258760107816712, + "grad_norm": 0.6432264447212219, + "learning_rate": 0.00034495628710199674, + "loss": 3.3796, + "step": 39500 + }, + { + "epoch": 4.264150943396227, + "grad_norm": 0.67496657371521, + "learning_rate": 0.0003446324878575283, + "loss": 3.3853, + "step": 39550 + }, + { + "epoch": 4.269541778975741, + "grad_norm": 0.6567350625991821, + "learning_rate": 0.00034430868861305984, + "loss": 3.3848, + "step": 39600 + }, + { + "epoch": 4.274932614555256, + "grad_norm": 0.6509039998054504, + "learning_rate": 0.00034398488936859145, + "loss": 3.4107, + "step": 39650 + }, + { + "epoch": 4.280323450134771, + "grad_norm": 0.7118595838546753, + "learning_rate": 0.000343661090124123, + "loss": 3.3953, + "step": 39700 + }, + { + "epoch": 4.285714285714286, + "grad_norm": 0.655920684337616, + "learning_rate": 0.0003433372908796546, + "loss": 3.3909, + "step": 39750 + }, + { + "epoch": 4.291105121293801, + "grad_norm": 0.6276910305023193, + "learning_rate": 0.00034301349163518615, + "loss": 3.4053, + "step": 39800 + }, + { + "epoch": 4.296495956873315, + "grad_norm": 0.6661441922187805, + "learning_rate": 0.00034268969239071776, + "loss": 3.4073, + "step": 39850 + }, + { + "epoch": 4.30188679245283, + "grad_norm": 0.6385535001754761, + "learning_rate": 0.0003423658931462493, + "loss": 3.3961, + "step": 39900 + }, + { + "epoch": 4.307277628032345, + "grad_norm": 0.6921438574790955, + "learning_rate": 0.00034204209390178086, + "loss": 3.4005, + "step": 39950 + }, + { + "epoch": 4.3126684636118595, + "grad_norm": 0.6449606418609619, + "learning_rate": 0.00034171829465731246, + "loss": 3.3917, + "step": 40000 + }, + { + "epoch": 4.3126684636118595, + "eval_accuracy": 0.3773982001214522, + "eval_loss": 3.443068265914917, + "eval_runtime": 144.5482, + "eval_samples_per_second": 124.602, + "eval_steps_per_second": 7.79, + "step": 40000 + }, + { + "epoch": 4.318059299191375, + "grad_norm": 0.6605200171470642, + "learning_rate": 0.00034139449541284396, + "loss": 3.3852, + "step": 40050 + }, + { + "epoch": 4.32345013477089, + "grad_norm": 0.6481444239616394, + "learning_rate": 0.00034107069616837556, + "loss": 3.4133, + "step": 40100 + }, + { + "epoch": 4.328840970350404, + "grad_norm": 0.6764447093009949, + "learning_rate": 0.0003407468969239071, + "loss": 3.4224, + "step": 40150 + }, + { + "epoch": 4.334231805929919, + "grad_norm": 0.697698175907135, + "learning_rate": 0.0003404230976794387, + "loss": 3.3895, + "step": 40200 + }, + { + "epoch": 4.339622641509434, + "grad_norm": 0.6654530763626099, + "learning_rate": 0.00034009929843497027, + "loss": 3.3957, + "step": 40250 + }, + { + "epoch": 4.345013477088949, + "grad_norm": 0.6817287802696228, + "learning_rate": 0.0003397754991905019, + "loss": 3.4012, + "step": 40300 + }, + { + "epoch": 4.350404312668464, + "grad_norm": 0.6639880537986755, + "learning_rate": 0.0003394516999460334, + "loss": 3.3964, + "step": 40350 + }, + { + "epoch": 4.355795148247978, + "grad_norm": 0.7102729678153992, + "learning_rate": 0.000339127900701565, + "loss": 3.4083, + "step": 40400 + }, + { + "epoch": 4.361185983827493, + "grad_norm": 0.6927199959754944, + "learning_rate": 0.0003388041014570966, + "loss": 3.3772, + "step": 40450 + }, + { + "epoch": 4.366576819407008, + "grad_norm": 0.7088574171066284, + "learning_rate": 0.00033848030221262813, + "loss": 3.3837, + "step": 40500 + }, + { + "epoch": 4.3719676549865225, + "grad_norm": 0.6638116240501404, + "learning_rate": 0.00033815650296815974, + "loss": 3.4081, + "step": 40550 + }, + { + "epoch": 4.377358490566038, + "grad_norm": 0.6668712496757507, + "learning_rate": 0.0003378327037236913, + "loss": 3.3914, + "step": 40600 + }, + { + "epoch": 4.382749326145553, + "grad_norm": 0.6364918351173401, + "learning_rate": 0.0003375089044792229, + "loss": 3.3817, + "step": 40650 + }, + { + "epoch": 4.388140161725067, + "grad_norm": 0.6079948544502258, + "learning_rate": 0.00033718510523475444, + "loss": 3.4127, + "step": 40700 + }, + { + "epoch": 4.393530997304582, + "grad_norm": 0.668003261089325, + "learning_rate": 0.00033686130599028605, + "loss": 3.4093, + "step": 40750 + }, + { + "epoch": 4.398921832884097, + "grad_norm": 0.7348698377609253, + "learning_rate": 0.00033653750674581754, + "loss": 3.3802, + "step": 40800 + }, + { + "epoch": 4.404312668463612, + "grad_norm": 0.6434510350227356, + "learning_rate": 0.0003362137075013491, + "loss": 3.4029, + "step": 40850 + }, + { + "epoch": 4.409703504043127, + "grad_norm": 0.6313856244087219, + "learning_rate": 0.0003358899082568807, + "loss": 3.3884, + "step": 40900 + }, + { + "epoch": 4.415094339622642, + "grad_norm": 0.6700965762138367, + "learning_rate": 0.00033556610901241225, + "loss": 3.3958, + "step": 40950 + }, + { + "epoch": 4.420485175202156, + "grad_norm": 0.6766634583473206, + "learning_rate": 0.00033524230976794385, + "loss": 3.4098, + "step": 41000 + }, + { + "epoch": 4.420485175202156, + "eval_accuracy": 0.37805739719182263, + "eval_loss": 3.4349136352539062, + "eval_runtime": 144.174, + "eval_samples_per_second": 124.925, + "eval_steps_per_second": 7.81, + "step": 41000 + }, + { + "epoch": 4.425876010781671, + "grad_norm": 0.6245938539505005, + "learning_rate": 0.0003349185105234754, + "loss": 3.4083, + "step": 41050 + }, + { + "epoch": 4.431266846361186, + "grad_norm": 0.648089587688446, + "learning_rate": 0.000334594711279007, + "loss": 3.3911, + "step": 41100 + }, + { + "epoch": 4.436657681940701, + "grad_norm": 0.6679409742355347, + "learning_rate": 0.00033427091203453856, + "loss": 3.3715, + "step": 41150 + }, + { + "epoch": 4.442048517520216, + "grad_norm": 0.6518722176551819, + "learning_rate": 0.00033394711279007016, + "loss": 3.4074, + "step": 41200 + }, + { + "epoch": 4.44743935309973, + "grad_norm": 0.6937799453735352, + "learning_rate": 0.0003336233135456017, + "loss": 3.3949, + "step": 41250 + }, + { + "epoch": 4.452830188679245, + "grad_norm": 0.6212307214736938, + "learning_rate": 0.00033329951430113326, + "loss": 3.3916, + "step": 41300 + }, + { + "epoch": 4.45822102425876, + "grad_norm": 0.6860057711601257, + "learning_rate": 0.00033297571505666487, + "loss": 3.3834, + "step": 41350 + }, + { + "epoch": 4.463611859838275, + "grad_norm": 0.6513189673423767, + "learning_rate": 0.00033265191581219637, + "loss": 3.3937, + "step": 41400 + }, + { + "epoch": 4.46900269541779, + "grad_norm": 0.7178239226341248, + "learning_rate": 0.00033232811656772797, + "loss": 3.3812, + "step": 41450 + }, + { + "epoch": 4.474393530997305, + "grad_norm": 0.6064930558204651, + "learning_rate": 0.0003320043173232595, + "loss": 3.3859, + "step": 41500 + }, + { + "epoch": 4.479784366576819, + "grad_norm": 0.6735703945159912, + "learning_rate": 0.0003316869940636805, + "loss": 3.4139, + "step": 41550 + }, + { + "epoch": 4.485175202156334, + "grad_norm": 0.6741956472396851, + "learning_rate": 0.000331363194819212, + "loss": 3.4056, + "step": 41600 + }, + { + "epoch": 4.490566037735849, + "grad_norm": 0.6844803094863892, + "learning_rate": 0.00033103939557474363, + "loss": 3.4093, + "step": 41650 + }, + { + "epoch": 4.495956873315364, + "grad_norm": 0.6774608492851257, + "learning_rate": 0.0003307155963302752, + "loss": 3.4104, + "step": 41700 + }, + { + "epoch": 4.501347708894879, + "grad_norm": 0.7241947054862976, + "learning_rate": 0.0003303917970858068, + "loss": 3.394, + "step": 41750 + }, + { + "epoch": 4.506738544474393, + "grad_norm": 0.6362870335578918, + "learning_rate": 0.00033006799784133833, + "loss": 3.407, + "step": 41800 + }, + { + "epoch": 4.512129380053908, + "grad_norm": 0.6904320120811462, + "learning_rate": 0.00032974419859686994, + "loss": 3.3856, + "step": 41850 + }, + { + "epoch": 4.517520215633423, + "grad_norm": 0.6738048195838928, + "learning_rate": 0.0003294203993524015, + "loss": 3.4067, + "step": 41900 + }, + { + "epoch": 4.5229110512129385, + "grad_norm": 0.7088378071784973, + "learning_rate": 0.0003290966001079331, + "loss": 3.4089, + "step": 41950 + }, + { + "epoch": 4.528301886792453, + "grad_norm": 0.6381910443305969, + "learning_rate": 0.00032877280086346465, + "loss": 3.4073, + "step": 42000 + }, + { + "epoch": 4.528301886792453, + "eval_accuracy": 0.3784368130760708, + "eval_loss": 3.433210849761963, + "eval_runtime": 144.4135, + "eval_samples_per_second": 124.718, + "eval_steps_per_second": 7.797, + "step": 42000 + }, + { + "epoch": 4.533692722371968, + "grad_norm": 0.6477466821670532, + "learning_rate": 0.00032844900161899614, + "loss": 3.3838, + "step": 42050 + }, + { + "epoch": 4.539083557951482, + "grad_norm": 0.6849921345710754, + "learning_rate": 0.0003281252023745278, + "loss": 3.3943, + "step": 42100 + }, + { + "epoch": 4.544474393530997, + "grad_norm": 0.7039716243743896, + "learning_rate": 0.0003278014031300593, + "loss": 3.3973, + "step": 42150 + }, + { + "epoch": 4.549865229110512, + "grad_norm": 0.6716494560241699, + "learning_rate": 0.0003274776038855909, + "loss": 3.4107, + "step": 42200 + }, + { + "epoch": 4.555256064690027, + "grad_norm": 0.6577488780021667, + "learning_rate": 0.00032715380464112245, + "loss": 3.4032, + "step": 42250 + }, + { + "epoch": 4.560646900269542, + "grad_norm": 0.6571736931800842, + "learning_rate": 0.00032683000539665406, + "loss": 3.3956, + "step": 42300 + }, + { + "epoch": 4.566037735849057, + "grad_norm": 0.6686569452285767, + "learning_rate": 0.0003265062061521856, + "loss": 3.4182, + "step": 42350 + }, + { + "epoch": 4.571428571428571, + "grad_norm": 0.664892315864563, + "learning_rate": 0.0003261824069077172, + "loss": 3.3942, + "step": 42400 + }, + { + "epoch": 4.576819407008086, + "grad_norm": 0.624660849571228, + "learning_rate": 0.00032585860766324876, + "loss": 3.4074, + "step": 42450 + }, + { + "epoch": 4.5822102425876015, + "grad_norm": 0.7108879685401917, + "learning_rate": 0.0003255348084187803, + "loss": 3.391, + "step": 42500 + }, + { + "epoch": 4.587601078167116, + "grad_norm": 0.6596403121948242, + "learning_rate": 0.0003252110091743119, + "loss": 3.4013, + "step": 42550 + }, + { + "epoch": 4.592991913746631, + "grad_norm": 0.6906297206878662, + "learning_rate": 0.00032488720992984347, + "loss": 3.3821, + "step": 42600 + }, + { + "epoch": 4.598382749326145, + "grad_norm": 0.6205872893333435, + "learning_rate": 0.0003245634106853751, + "loss": 3.4077, + "step": 42650 + }, + { + "epoch": 4.60377358490566, + "grad_norm": 0.623426616191864, + "learning_rate": 0.0003242396114409066, + "loss": 3.4026, + "step": 42700 + }, + { + "epoch": 4.609164420485175, + "grad_norm": 0.6449417471885681, + "learning_rate": 0.00032391581219643823, + "loss": 3.3922, + "step": 42750 + }, + { + "epoch": 4.6145552560646905, + "grad_norm": 0.6269782781600952, + "learning_rate": 0.0003235920129519697, + "loss": 3.3923, + "step": 42800 + }, + { + "epoch": 4.619946091644205, + "grad_norm": 0.6648560762405396, + "learning_rate": 0.0003232682137075013, + "loss": 3.4036, + "step": 42850 + }, + { + "epoch": 4.62533692722372, + "grad_norm": 0.6681641340255737, + "learning_rate": 0.0003229444144630329, + "loss": 3.4127, + "step": 42900 + }, + { + "epoch": 4.630727762803234, + "grad_norm": 0.6480531692504883, + "learning_rate": 0.00032262061521856443, + "loss": 3.4226, + "step": 42950 + }, + { + "epoch": 4.636118598382749, + "grad_norm": 0.690486490726471, + "learning_rate": 0.00032229681597409604, + "loss": 3.3993, + "step": 43000 + }, + { + "epoch": 4.636118598382749, + "eval_accuracy": 0.3786213056795798, + "eval_loss": 3.4269800186157227, + "eval_runtime": 144.4596, + "eval_samples_per_second": 124.678, + "eval_steps_per_second": 7.795, + "step": 43000 + }, + { + "epoch": 4.6415094339622645, + "grad_norm": 0.631764829158783, + "learning_rate": 0.0003219730167296276, + "loss": 3.4012, + "step": 43050 + }, + { + "epoch": 4.646900269541779, + "grad_norm": 0.6853381991386414, + "learning_rate": 0.0003216492174851592, + "loss": 3.3943, + "step": 43100 + }, + { + "epoch": 4.652291105121294, + "grad_norm": 0.7007822394371033, + "learning_rate": 0.00032132541824069074, + "loss": 3.4042, + "step": 43150 + }, + { + "epoch": 4.657681940700809, + "grad_norm": 0.6877723932266235, + "learning_rate": 0.00032100161899622235, + "loss": 3.4013, + "step": 43200 + }, + { + "epoch": 4.663072776280323, + "grad_norm": 0.6408644914627075, + "learning_rate": 0.0003206778197517539, + "loss": 3.39, + "step": 43250 + }, + { + "epoch": 4.668463611859838, + "grad_norm": 0.6747402548789978, + "learning_rate": 0.00032035402050728545, + "loss": 3.3905, + "step": 43300 + }, + { + "epoch": 4.6738544474393535, + "grad_norm": 0.6702984571456909, + "learning_rate": 0.00032003022126281705, + "loss": 3.388, + "step": 43350 + }, + { + "epoch": 4.679245283018868, + "grad_norm": 0.6272915005683899, + "learning_rate": 0.00031970642201834855, + "loss": 3.4139, + "step": 43400 + }, + { + "epoch": 4.684636118598383, + "grad_norm": 0.6993704438209534, + "learning_rate": 0.0003193826227738802, + "loss": 3.406, + "step": 43450 + }, + { + "epoch": 4.690026954177897, + "grad_norm": 0.6674578189849854, + "learning_rate": 0.0003190588235294117, + "loss": 3.4172, + "step": 43500 + }, + { + "epoch": 4.695417789757412, + "grad_norm": 0.6447967886924744, + "learning_rate": 0.0003187350242849433, + "loss": 3.3835, + "step": 43550 + }, + { + "epoch": 4.7008086253369274, + "grad_norm": 0.6298507452011108, + "learning_rate": 0.00031841122504047486, + "loss": 3.3945, + "step": 43600 + }, + { + "epoch": 4.706199460916442, + "grad_norm": 0.6774371862411499, + "learning_rate": 0.00031808742579600646, + "loss": 3.4136, + "step": 43650 + }, + { + "epoch": 4.711590296495957, + "grad_norm": 0.6548194289207458, + "learning_rate": 0.000317763626551538, + "loss": 3.4013, + "step": 43700 + }, + { + "epoch": 4.716981132075472, + "grad_norm": 0.65519779920578, + "learning_rate": 0.00031743982730706957, + "loss": 3.3831, + "step": 43750 + }, + { + "epoch": 4.722371967654986, + "grad_norm": 0.6379764080047607, + "learning_rate": 0.00031711602806260117, + "loss": 3.3949, + "step": 43800 + }, + { + "epoch": 4.727762803234501, + "grad_norm": 0.6646135449409485, + "learning_rate": 0.0003167922288181327, + "loss": 3.411, + "step": 43850 + }, + { + "epoch": 4.7331536388140165, + "grad_norm": 0.6977700591087341, + "learning_rate": 0.0003164684295736643, + "loss": 3.3905, + "step": 43900 + }, + { + "epoch": 4.738544474393531, + "grad_norm": 0.6893843412399292, + "learning_rate": 0.0003161446303291959, + "loss": 3.3993, + "step": 43950 + }, + { + "epoch": 4.743935309973046, + "grad_norm": 0.626663327217102, + "learning_rate": 0.0003158208310847275, + "loss": 3.4026, + "step": 44000 + }, + { + "epoch": 4.743935309973046, + "eval_accuracy": 0.3796951221698503, + "eval_loss": 3.420562744140625, + "eval_runtime": 144.3885, + "eval_samples_per_second": 124.74, + "eval_steps_per_second": 7.798, + "step": 44000 + }, + { + "epoch": 4.74932614555256, + "grad_norm": 0.6197607517242432, + "learning_rate": 0.00031549703184025903, + "loss": 3.418, + "step": 44050 + }, + { + "epoch": 4.754716981132075, + "grad_norm": 0.7079957723617554, + "learning_rate": 0.00031517323259579064, + "loss": 3.3875, + "step": 44100 + }, + { + "epoch": 4.7601078167115904, + "grad_norm": 0.7121281027793884, + "learning_rate": 0.00031484943335132213, + "loss": 3.3957, + "step": 44150 + }, + { + "epoch": 4.765498652291106, + "grad_norm": 0.6488174796104431, + "learning_rate": 0.0003145256341068537, + "loss": 3.3873, + "step": 44200 + }, + { + "epoch": 4.77088948787062, + "grad_norm": 0.6334786415100098, + "learning_rate": 0.0003142018348623853, + "loss": 3.4079, + "step": 44250 + }, + { + "epoch": 4.776280323450135, + "grad_norm": 0.6670863628387451, + "learning_rate": 0.00031387803561791684, + "loss": 3.3928, + "step": 44300 + }, + { + "epoch": 4.781671159029649, + "grad_norm": 0.7258300185203552, + "learning_rate": 0.00031355423637344844, + "loss": 3.3898, + "step": 44350 + }, + { + "epoch": 4.787061994609164, + "grad_norm": 0.6830951571464539, + "learning_rate": 0.00031323043712898, + "loss": 3.3975, + "step": 44400 + }, + { + "epoch": 4.7924528301886795, + "grad_norm": 0.6534838080406189, + "learning_rate": 0.0003129066378845116, + "loss": 3.4116, + "step": 44450 + }, + { + "epoch": 4.797843665768194, + "grad_norm": 0.6513312458992004, + "learning_rate": 0.0003125893146249325, + "loss": 3.4059, + "step": 44500 + }, + { + "epoch": 4.803234501347709, + "grad_norm": 0.6737047433853149, + "learning_rate": 0.0003122655153804641, + "loss": 3.3976, + "step": 44550 + }, + { + "epoch": 4.808625336927224, + "grad_norm": 0.6408705711364746, + "learning_rate": 0.00031194171613599565, + "loss": 3.4072, + "step": 44600 + }, + { + "epoch": 4.814016172506738, + "grad_norm": 0.6722981333732605, + "learning_rate": 0.00031161791689152726, + "loss": 3.4035, + "step": 44650 + }, + { + "epoch": 4.819407008086253, + "grad_norm": 0.6444264650344849, + "learning_rate": 0.0003112941176470588, + "loss": 3.3919, + "step": 44700 + }, + { + "epoch": 4.824797843665769, + "grad_norm": 0.6497697830200195, + "learning_rate": 0.0003109703184025904, + "loss": 3.4102, + "step": 44750 + }, + { + "epoch": 4.830188679245283, + "grad_norm": 0.6528656482696533, + "learning_rate": 0.0003106465191581219, + "loss": 3.4189, + "step": 44800 + }, + { + "epoch": 4.835579514824798, + "grad_norm": 0.694046676158905, + "learning_rate": 0.0003103227199136535, + "loss": 3.4056, + "step": 44850 + }, + { + "epoch": 4.840970350404312, + "grad_norm": 0.690146803855896, + "learning_rate": 0.00030999892066918506, + "loss": 3.4129, + "step": 44900 + }, + { + "epoch": 4.846361185983827, + "grad_norm": 0.6869221329689026, + "learning_rate": 0.0003096751214247166, + "loss": 3.4142, + "step": 44950 + }, + { + "epoch": 4.8517520215633425, + "grad_norm": 0.6895796656608582, + "learning_rate": 0.0003093513221802482, + "loss": 3.407, + "step": 45000 + }, + { + "epoch": 4.8517520215633425, + "eval_accuracy": 0.3797722657201986, + "eval_loss": 3.4162397384643555, + "eval_runtime": 144.4662, + "eval_samples_per_second": 124.673, + "eval_steps_per_second": 7.794, + "step": 45000 + }, + { + "epoch": 4.857142857142857, + "grad_norm": 0.6864706873893738, + "learning_rate": 0.00030902752293577977, + "loss": 3.397, + "step": 45050 + }, + { + "epoch": 4.862533692722372, + "grad_norm": 0.6451402306556702, + "learning_rate": 0.0003087037236913114, + "loss": 3.4013, + "step": 45100 + }, + { + "epoch": 4.867924528301887, + "grad_norm": 0.6563948392868042, + "learning_rate": 0.0003083799244468429, + "loss": 3.4058, + "step": 45150 + }, + { + "epoch": 4.873315363881401, + "grad_norm": 0.72186279296875, + "learning_rate": 0.00030805612520237453, + "loss": 3.3864, + "step": 45200 + }, + { + "epoch": 4.878706199460916, + "grad_norm": 0.6799795031547546, + "learning_rate": 0.0003077323259579061, + "loss": 3.3967, + "step": 45250 + }, + { + "epoch": 4.884097035040432, + "grad_norm": 0.6401630640029907, + "learning_rate": 0.00030740852671343763, + "loss": 3.3831, + "step": 45300 + }, + { + "epoch": 4.889487870619946, + "grad_norm": 0.6507147550582886, + "learning_rate": 0.00030708472746896924, + "loss": 3.3956, + "step": 45350 + }, + { + "epoch": 4.894878706199461, + "grad_norm": 0.6847612857818604, + "learning_rate": 0.00030676092822450073, + "loss": 3.4008, + "step": 45400 + }, + { + "epoch": 4.900269541778976, + "grad_norm": 0.6450076103210449, + "learning_rate": 0.0003064371289800324, + "loss": 3.4016, + "step": 45450 + }, + { + "epoch": 4.90566037735849, + "grad_norm": 0.7253491282463074, + "learning_rate": 0.0003061133297355639, + "loss": 3.3926, + "step": 45500 + }, + { + "epoch": 4.9110512129380055, + "grad_norm": 0.6734742522239685, + "learning_rate": 0.0003057895304910955, + "loss": 3.3791, + "step": 45550 + }, + { + "epoch": 4.916442048517521, + "grad_norm": 0.6890952587127686, + "learning_rate": 0.00030546573124662704, + "loss": 3.3887, + "step": 45600 + }, + { + "epoch": 4.921832884097035, + "grad_norm": 0.6757829189300537, + "learning_rate": 0.00030514193200215865, + "loss": 3.3902, + "step": 45650 + }, + { + "epoch": 4.92722371967655, + "grad_norm": 0.6162055730819702, + "learning_rate": 0.0003048181327576902, + "loss": 3.4045, + "step": 45700 + }, + { + "epoch": 4.932614555256064, + "grad_norm": 0.6603294610977173, + "learning_rate": 0.00030449433351322175, + "loss": 3.4003, + "step": 45750 + }, + { + "epoch": 4.938005390835579, + "grad_norm": 0.7538667321205139, + "learning_rate": 0.00030417053426875335, + "loss": 3.3879, + "step": 45800 + }, + { + "epoch": 4.943396226415095, + "grad_norm": 0.6716868281364441, + "learning_rate": 0.0003038467350242849, + "loss": 3.3925, + "step": 45850 + }, + { + "epoch": 4.948787061994609, + "grad_norm": 0.6670491099357605, + "learning_rate": 0.0003035229357798165, + "loss": 3.3971, + "step": 45900 + }, + { + "epoch": 4.954177897574124, + "grad_norm": 0.6961699724197388, + "learning_rate": 0.00030319913653534806, + "loss": 3.396, + "step": 45950 + }, + { + "epoch": 4.959568733153639, + "grad_norm": 0.6553487777709961, + "learning_rate": 0.00030287533729087966, + "loss": 3.3882, + "step": 46000 + }, + { + "epoch": 4.959568733153639, + "eval_accuracy": 0.3807090709189351, + "eval_loss": 3.412442445755005, + "eval_runtime": 144.2702, + "eval_samples_per_second": 124.842, + "eval_steps_per_second": 7.805, + "step": 46000 + }, + { + "epoch": 4.964959568733153, + "grad_norm": 0.6806796789169312, + "learning_rate": 0.0003025515380464112, + "loss": 3.4042, + "step": 46050 + }, + { + "epoch": 4.9703504043126685, + "grad_norm": 0.6539183259010315, + "learning_rate": 0.0003022277388019428, + "loss": 3.3863, + "step": 46100 + }, + { + "epoch": 4.975741239892184, + "grad_norm": 0.6914280652999878, + "learning_rate": 0.0003019039395574743, + "loss": 3.4058, + "step": 46150 + }, + { + "epoch": 4.981132075471698, + "grad_norm": 0.6996748447418213, + "learning_rate": 0.00030158014031300587, + "loss": 3.3922, + "step": 46200 + }, + { + "epoch": 4.986522911051213, + "grad_norm": 0.6464667320251465, + "learning_rate": 0.00030125634106853747, + "loss": 3.4021, + "step": 46250 + }, + { + "epoch": 4.991913746630727, + "grad_norm": 0.6513360738754272, + "learning_rate": 0.000300932541824069, + "loss": 3.4054, + "step": 46300 + }, + { + "epoch": 4.997304582210242, + "grad_norm": 0.6710907816886902, + "learning_rate": 0.0003006087425796006, + "loss": 3.389, + "step": 46350 + }, + { + "epoch": 5.002695417789758, + "grad_norm": 0.6305559873580933, + "learning_rate": 0.0003002849433351322, + "loss": 3.3599, + "step": 46400 + }, + { + "epoch": 5.008086253369272, + "grad_norm": 0.6296229362487793, + "learning_rate": 0.00029996114409066373, + "loss": 3.2968, + "step": 46450 + }, + { + "epoch": 5.013477088948787, + "grad_norm": 0.6661510467529297, + "learning_rate": 0.00029963734484619533, + "loss": 3.2995, + "step": 46500 + }, + { + "epoch": 5.018867924528302, + "grad_norm": 0.7171527147293091, + "learning_rate": 0.0002993135456017269, + "loss": 3.2957, + "step": 46550 + }, + { + "epoch": 5.024258760107816, + "grad_norm": 0.69913250207901, + "learning_rate": 0.0002989897463572585, + "loss": 3.3066, + "step": 46600 + }, + { + "epoch": 5.0296495956873315, + "grad_norm": 0.6664648652076721, + "learning_rate": 0.00029866594711279004, + "loss": 3.3058, + "step": 46650 + }, + { + "epoch": 5.035040431266847, + "grad_norm": 0.6796714067459106, + "learning_rate": 0.00029834214786832164, + "loss": 3.3204, + "step": 46700 + }, + { + "epoch": 5.040431266846361, + "grad_norm": 0.6862428784370422, + "learning_rate": 0.0002980183486238532, + "loss": 3.3077, + "step": 46750 + }, + { + "epoch": 5.045822102425876, + "grad_norm": 0.642417311668396, + "learning_rate": 0.00029769454937938474, + "loss": 3.3257, + "step": 46800 + }, + { + "epoch": 5.051212938005391, + "grad_norm": 0.7176947593688965, + "learning_rate": 0.0002973707501349163, + "loss": 3.307, + "step": 46850 + }, + { + "epoch": 5.056603773584905, + "grad_norm": 0.7516077756881714, + "learning_rate": 0.0002970469508904479, + "loss": 3.3188, + "step": 46900 + }, + { + "epoch": 5.061994609164421, + "grad_norm": 0.6804366111755371, + "learning_rate": 0.00029672962763086885, + "loss": 3.3267, + "step": 46950 + }, + { + "epoch": 5.067385444743936, + "grad_norm": 0.7159265875816345, + "learning_rate": 0.0002964058283864004, + "loss": 3.3153, + "step": 47000 + }, + { + "epoch": 5.067385444743936, + "eval_accuracy": 0.380938111206448, + "eval_loss": 3.4160373210906982, + "eval_runtime": 144.5322, + "eval_samples_per_second": 124.616, + "eval_steps_per_second": 7.791, + "step": 47000 + }, + { + "epoch": 5.07277628032345, + "grad_norm": 0.6850479245185852, + "learning_rate": 0.000296082029141932, + "loss": 3.3179, + "step": 47050 + }, + { + "epoch": 5.078167115902965, + "grad_norm": 0.7106557488441467, + "learning_rate": 0.00029575822989746356, + "loss": 3.3213, + "step": 47100 + }, + { + "epoch": 5.083557951482479, + "grad_norm": 0.6948096752166748, + "learning_rate": 0.0002954344306529951, + "loss": 3.3084, + "step": 47150 + }, + { + "epoch": 5.0889487870619945, + "grad_norm": 0.6754189729690552, + "learning_rate": 0.00029511063140852666, + "loss": 3.3179, + "step": 47200 + }, + { + "epoch": 5.09433962264151, + "grad_norm": 0.6741254925727844, + "learning_rate": 0.00029478683216405826, + "loss": 3.309, + "step": 47250 + }, + { + "epoch": 5.099730458221024, + "grad_norm": 0.6865102648735046, + "learning_rate": 0.0002944630329195898, + "loss": 3.3228, + "step": 47300 + }, + { + "epoch": 5.105121293800539, + "grad_norm": 0.7147253751754761, + "learning_rate": 0.0002941392336751214, + "loss": 3.3286, + "step": 47350 + }, + { + "epoch": 5.110512129380054, + "grad_norm": 0.6572174429893494, + "learning_rate": 0.00029381543443065297, + "loss": 3.337, + "step": 47400 + }, + { + "epoch": 5.115902964959568, + "grad_norm": 0.7195749878883362, + "learning_rate": 0.0002934916351861846, + "loss": 3.3268, + "step": 47450 + }, + { + "epoch": 5.121293800539084, + "grad_norm": 0.6609562039375305, + "learning_rate": 0.0002931678359417161, + "loss": 3.3286, + "step": 47500 + }, + { + "epoch": 5.126684636118599, + "grad_norm": 0.7119935750961304, + "learning_rate": 0.0002928440366972477, + "loss": 3.3268, + "step": 47550 + }, + { + "epoch": 5.132075471698113, + "grad_norm": 0.7080712914466858, + "learning_rate": 0.0002925202374527792, + "loss": 3.3288, + "step": 47600 + }, + { + "epoch": 5.137466307277628, + "grad_norm": 0.7142196893692017, + "learning_rate": 0.00029219643820831083, + "loss": 3.32, + "step": 47650 + }, + { + "epoch": 5.142857142857143, + "grad_norm": 0.6926892995834351, + "learning_rate": 0.0002918726389638424, + "loss": 3.3151, + "step": 47700 + }, + { + "epoch": 5.1482479784366575, + "grad_norm": 0.6689636707305908, + "learning_rate": 0.000291548839719374, + "loss": 3.3159, + "step": 47750 + }, + { + "epoch": 5.153638814016173, + "grad_norm": 0.665522575378418, + "learning_rate": 0.00029122504047490554, + "loss": 3.3321, + "step": 47800 + }, + { + "epoch": 5.159029649595688, + "grad_norm": 0.6729112267494202, + "learning_rate": 0.0002909012412304371, + "loss": 3.3053, + "step": 47850 + }, + { + "epoch": 5.164420485175202, + "grad_norm": 0.7552754282951355, + "learning_rate": 0.0002905774419859687, + "loss": 3.3429, + "step": 47900 + }, + { + "epoch": 5.169811320754717, + "grad_norm": 0.6447635889053345, + "learning_rate": 0.00029025364274150024, + "loss": 3.3259, + "step": 47950 + }, + { + "epoch": 5.175202156334231, + "grad_norm": 0.6801449656486511, + "learning_rate": 0.0002899298434970318, + "loss": 3.3206, + "step": 48000 + }, + { + "epoch": 5.175202156334231, + "eval_accuracy": 0.38110282898437475, + "eval_loss": 3.411052703857422, + "eval_runtime": 145.5236, + "eval_samples_per_second": 123.767, + "eval_steps_per_second": 7.738, + "step": 48000 + }, + { + "epoch": 5.180592991913747, + "grad_norm": 0.706554114818573, + "learning_rate": 0.0002896060442525634, + "loss": 3.3333, + "step": 48050 + }, + { + "epoch": 5.185983827493262, + "grad_norm": 0.6805872917175293, + "learning_rate": 0.00028928224500809495, + "loss": 3.3201, + "step": 48100 + }, + { + "epoch": 5.191374663072776, + "grad_norm": 0.6964337825775146, + "learning_rate": 0.0002889584457636265, + "loss": 3.3337, + "step": 48150 + }, + { + "epoch": 5.196765498652291, + "grad_norm": 0.6783593893051147, + "learning_rate": 0.0002886346465191581, + "loss": 3.3354, + "step": 48200 + }, + { + "epoch": 5.202156334231806, + "grad_norm": 0.7004501819610596, + "learning_rate": 0.00028831084727468965, + "loss": 3.3268, + "step": 48250 + }, + { + "epoch": 5.2075471698113205, + "grad_norm": 0.6932908296585083, + "learning_rate": 0.00028798704803022126, + "loss": 3.328, + "step": 48300 + }, + { + "epoch": 5.212938005390836, + "grad_norm": 0.6647869944572449, + "learning_rate": 0.0002876632487857528, + "loss": 3.3303, + "step": 48350 + }, + { + "epoch": 5.218328840970351, + "grad_norm": 0.6336517333984375, + "learning_rate": 0.0002873394495412844, + "loss": 3.342, + "step": 48400 + }, + { + "epoch": 5.223719676549865, + "grad_norm": 0.7249319553375244, + "learning_rate": 0.0002870156502968159, + "loss": 3.3318, + "step": 48450 + }, + { + "epoch": 5.22911051212938, + "grad_norm": 0.6921640634536743, + "learning_rate": 0.0002866918510523475, + "loss": 3.3209, + "step": 48500 + }, + { + "epoch": 5.234501347708895, + "grad_norm": 0.70216304063797, + "learning_rate": 0.00028636805180787907, + "loss": 3.3307, + "step": 48550 + }, + { + "epoch": 5.2398921832884096, + "grad_norm": 0.6812149286270142, + "learning_rate": 0.00028604425256341067, + "loss": 3.3543, + "step": 48600 + }, + { + "epoch": 5.245283018867925, + "grad_norm": 0.6724953055381775, + "learning_rate": 0.0002857204533189422, + "loss": 3.3339, + "step": 48650 + }, + { + "epoch": 5.250673854447439, + "grad_norm": 0.6912009119987488, + "learning_rate": 0.0002853966540744738, + "loss": 3.3355, + "step": 48700 + }, + { + "epoch": 5.256064690026954, + "grad_norm": 0.7083752751350403, + "learning_rate": 0.0002850728548300054, + "loss": 3.3435, + "step": 48750 + }, + { + "epoch": 5.261455525606469, + "grad_norm": 0.7092831134796143, + "learning_rate": 0.000284749055585537, + "loss": 3.3268, + "step": 48800 + }, + { + "epoch": 5.2668463611859835, + "grad_norm": 0.6768770813941956, + "learning_rate": 0.0002844252563410685, + "loss": 3.321, + "step": 48850 + }, + { + "epoch": 5.272237196765499, + "grad_norm": 0.7014017701148987, + "learning_rate": 0.0002841014570966001, + "loss": 3.336, + "step": 48900 + }, + { + "epoch": 5.277628032345014, + "grad_norm": 0.7322688102722168, + "learning_rate": 0.00028377765785213163, + "loss": 3.3385, + "step": 48950 + }, + { + "epoch": 5.283018867924528, + "grad_norm": 0.7685863971710205, + "learning_rate": 0.00028345385860766324, + "loss": 3.3424, + "step": 49000 + }, + { + "epoch": 5.283018867924528, + "eval_accuracy": 0.3814316126229014, + "eval_loss": 3.4073944091796875, + "eval_runtime": 144.7837, + "eval_samples_per_second": 124.399, + "eval_steps_per_second": 7.777, + "step": 49000 + }, + { + "epoch": 5.288409703504043, + "grad_norm": 0.6961640119552612, + "learning_rate": 0.0002831300593631948, + "loss": 3.3409, + "step": 49050 + }, + { + "epoch": 5.293800539083558, + "grad_norm": 0.6957879066467285, + "learning_rate": 0.0002828062601187264, + "loss": 3.3524, + "step": 49100 + }, + { + "epoch": 5.2991913746630726, + "grad_norm": 0.6970066428184509, + "learning_rate": 0.00028248246087425794, + "loss": 3.3484, + "step": 49150 + }, + { + "epoch": 5.304582210242588, + "grad_norm": 0.7614482045173645, + "learning_rate": 0.0002821586616297895, + "loss": 3.3549, + "step": 49200 + }, + { + "epoch": 5.309973045822103, + "grad_norm": 0.7144331336021423, + "learning_rate": 0.0002818348623853211, + "loss": 3.3365, + "step": 49250 + }, + { + "epoch": 5.315363881401617, + "grad_norm": 0.6948640942573547, + "learning_rate": 0.00028151106314085265, + "loss": 3.3399, + "step": 49300 + }, + { + "epoch": 5.320754716981132, + "grad_norm": 0.7086396217346191, + "learning_rate": 0.0002811872638963842, + "loss": 3.3396, + "step": 49350 + }, + { + "epoch": 5.3261455525606465, + "grad_norm": 0.7019725441932678, + "learning_rate": 0.0002808634646519158, + "loss": 3.3322, + "step": 49400 + }, + { + "epoch": 5.331536388140162, + "grad_norm": 0.672603189945221, + "learning_rate": 0.00028053966540744736, + "loss": 3.3151, + "step": 49450 + }, + { + "epoch": 5.336927223719677, + "grad_norm": 0.6889719367027283, + "learning_rate": 0.0002802158661629789, + "loss": 3.3461, + "step": 49500 + }, + { + "epoch": 5.342318059299191, + "grad_norm": 0.6748621463775635, + "learning_rate": 0.0002798920669185105, + "loss": 3.3413, + "step": 49550 + }, + { + "epoch": 5.347708894878706, + "grad_norm": 0.7129660844802856, + "learning_rate": 0.00027956826767404206, + "loss": 3.3341, + "step": 49600 + }, + { + "epoch": 5.353099730458221, + "grad_norm": 0.7002583742141724, + "learning_rate": 0.00027924446842957367, + "loss": 3.3368, + "step": 49650 + }, + { + "epoch": 5.3584905660377355, + "grad_norm": 0.7028433084487915, + "learning_rate": 0.0002789206691851052, + "loss": 3.3228, + "step": 49700 + }, + { + "epoch": 5.363881401617251, + "grad_norm": 0.6843782067298889, + "learning_rate": 0.00027859686994063677, + "loss": 3.36, + "step": 49750 + }, + { + "epoch": 5.369272237196766, + "grad_norm": 0.6877606511116028, + "learning_rate": 0.0002782730706961683, + "loss": 3.338, + "step": 49800 + }, + { + "epoch": 5.37466307277628, + "grad_norm": 0.7371047735214233, + "learning_rate": 0.0002779492714516999, + "loss": 3.3458, + "step": 49850 + }, + { + "epoch": 5.380053908355795, + "grad_norm": 0.6934622526168823, + "learning_rate": 0.00027762547220723147, + "loss": 3.3383, + "step": 49900 + }, + { + "epoch": 5.38544474393531, + "grad_norm": 0.6579985022544861, + "learning_rate": 0.0002773016729627631, + "loss": 3.3524, + "step": 49950 + }, + { + "epoch": 5.390835579514825, + "grad_norm": 0.6802271008491516, + "learning_rate": 0.00027697787371829463, + "loss": 3.3458, + "step": 50000 + }, + { + "epoch": 5.390835579514825, + "eval_accuracy": 0.3819480397986836, + "eval_loss": 3.4055545330047607, + "eval_runtime": 144.3918, + "eval_samples_per_second": 124.737, + "eval_steps_per_second": 7.798, + "step": 50000 + }, + { + "epoch": 5.39622641509434, + "grad_norm": 0.6987673044204712, + "learning_rate": 0.00027665407447382623, + "loss": 3.3288, + "step": 50050 + }, + { + "epoch": 5.401617250673855, + "grad_norm": 0.7340160608291626, + "learning_rate": 0.0002763302752293578, + "loss": 3.3532, + "step": 50100 + }, + { + "epoch": 5.407008086253369, + "grad_norm": 0.6872392892837524, + "learning_rate": 0.00027600647598488933, + "loss": 3.3324, + "step": 50150 + }, + { + "epoch": 5.412398921832884, + "grad_norm": 0.6771326661109924, + "learning_rate": 0.0002756826767404209, + "loss": 3.3355, + "step": 50200 + }, + { + "epoch": 5.4177897574123985, + "grad_norm": 0.6996474862098694, + "learning_rate": 0.0002753588774959525, + "loss": 3.357, + "step": 50250 + }, + { + "epoch": 5.423180592991914, + "grad_norm": 0.7138876914978027, + "learning_rate": 0.00027503507825148404, + "loss": 3.3214, + "step": 50300 + }, + { + "epoch": 5.428571428571429, + "grad_norm": 0.755319356918335, + "learning_rate": 0.00027471127900701564, + "loss": 3.3383, + "step": 50350 + }, + { + "epoch": 5.433962264150943, + "grad_norm": 0.6721000671386719, + "learning_rate": 0.0002743874797625472, + "loss": 3.3523, + "step": 50400 + }, + { + "epoch": 5.439353099730458, + "grad_norm": 0.730150580406189, + "learning_rate": 0.0002740636805180788, + "loss": 3.3376, + "step": 50450 + }, + { + "epoch": 5.444743935309973, + "grad_norm": 0.7079633474349976, + "learning_rate": 0.00027373988127361035, + "loss": 3.3507, + "step": 50500 + }, + { + "epoch": 5.450134770889488, + "grad_norm": 0.7010264992713928, + "learning_rate": 0.0002734160820291419, + "loss": 3.3462, + "step": 50550 + }, + { + "epoch": 5.455525606469003, + "grad_norm": 0.6866102814674377, + "learning_rate": 0.00027309228278467345, + "loss": 3.3319, + "step": 50600 + }, + { + "epoch": 5.460916442048518, + "grad_norm": 0.6866927146911621, + "learning_rate": 0.00027276848354020506, + "loss": 3.3463, + "step": 50650 + }, + { + "epoch": 5.466307277628032, + "grad_norm": 0.7239250540733337, + "learning_rate": 0.0002724446842957366, + "loss": 3.362, + "step": 50700 + }, + { + "epoch": 5.471698113207547, + "grad_norm": 0.7562030553817749, + "learning_rate": 0.0002721208850512682, + "loss": 3.3648, + "step": 50750 + }, + { + "epoch": 5.4770889487870615, + "grad_norm": 0.7127982974052429, + "learning_rate": 0.00027179708580679976, + "loss": 3.3432, + "step": 50800 + }, + { + "epoch": 5.482479784366577, + "grad_norm": 0.7013341784477234, + "learning_rate": 0.0002714732865623313, + "loss": 3.3444, + "step": 50850 + }, + { + "epoch": 5.487870619946092, + "grad_norm": 0.6669678092002869, + "learning_rate": 0.0002711494873178629, + "loss": 3.3592, + "step": 50900 + }, + { + "epoch": 5.493261455525606, + "grad_norm": 0.7303927540779114, + "learning_rate": 0.0002708321640582838, + "loss": 3.3454, + "step": 50950 + }, + { + "epoch": 5.498652291105121, + "grad_norm": 0.6964647769927979, + "learning_rate": 0.0002705083648138154, + "loss": 3.3476, + "step": 51000 + }, + { + "epoch": 5.498652291105121, + "eval_accuracy": 0.3824629458340364, + "eval_loss": 3.4016828536987305, + "eval_runtime": 144.3883, + "eval_samples_per_second": 124.74, + "eval_steps_per_second": 7.798, + "step": 51000 + }, + { + "epoch": 5.504043126684636, + "grad_norm": 0.7446438670158386, + "learning_rate": 0.00027018456556934697, + "loss": 3.339, + "step": 51050 + }, + { + "epoch": 5.509433962264151, + "grad_norm": 0.7122694849967957, + "learning_rate": 0.0002698607663248786, + "loss": 3.3297, + "step": 51100 + }, + { + "epoch": 5.514824797843666, + "grad_norm": 0.7483970522880554, + "learning_rate": 0.0002695369670804101, + "loss": 3.3296, + "step": 51150 + }, + { + "epoch": 5.520215633423181, + "grad_norm": 0.6955212354660034, + "learning_rate": 0.0002692131678359417, + "loss": 3.3312, + "step": 51200 + }, + { + "epoch": 5.525606469002695, + "grad_norm": 0.6897768974304199, + "learning_rate": 0.0002688893685914733, + "loss": 3.3589, + "step": 51250 + }, + { + "epoch": 5.53099730458221, + "grad_norm": 0.6922851204872131, + "learning_rate": 0.00026856556934700483, + "loss": 3.3508, + "step": 51300 + }, + { + "epoch": 5.536388140161725, + "grad_norm": 0.7360769510269165, + "learning_rate": 0.0002682417701025364, + "loss": 3.3515, + "step": 51350 + }, + { + "epoch": 5.54177897574124, + "grad_norm": 0.6909701824188232, + "learning_rate": 0.000267917970858068, + "loss": 3.3279, + "step": 51400 + }, + { + "epoch": 5.547169811320755, + "grad_norm": 0.6974009275436401, + "learning_rate": 0.00026759417161359954, + "loss": 3.3313, + "step": 51450 + }, + { + "epoch": 5.55256064690027, + "grad_norm": 0.7308899760246277, + "learning_rate": 0.0002672703723691311, + "loss": 3.3725, + "step": 51500 + }, + { + "epoch": 5.557951482479784, + "grad_norm": 0.7055568099021912, + "learning_rate": 0.0002669465731246627, + "loss": 3.3351, + "step": 51550 + }, + { + "epoch": 5.563342318059299, + "grad_norm": 0.7265756130218506, + "learning_rate": 0.00026662277388019424, + "loss": 3.3488, + "step": 51600 + }, + { + "epoch": 5.568733153638814, + "grad_norm": 0.6935765743255615, + "learning_rate": 0.00026629897463572585, + "loss": 3.3351, + "step": 51650 + }, + { + "epoch": 5.574123989218329, + "grad_norm": 0.7005050778388977, + "learning_rate": 0.0002659751753912574, + "loss": 3.3393, + "step": 51700 + }, + { + "epoch": 5.579514824797844, + "grad_norm": 0.676528811454773, + "learning_rate": 0.00026565137614678895, + "loss": 3.352, + "step": 51750 + }, + { + "epoch": 5.584905660377358, + "grad_norm": 0.7144435048103333, + "learning_rate": 0.0002653275769023205, + "loss": 3.3258, + "step": 51800 + }, + { + "epoch": 5.590296495956873, + "grad_norm": 0.6825423240661621, + "learning_rate": 0.0002650037776578521, + "loss": 3.323, + "step": 51850 + }, + { + "epoch": 5.595687331536388, + "grad_norm": 0.6950230598449707, + "learning_rate": 0.00026467997841338366, + "loss": 3.3775, + "step": 51900 + }, + { + "epoch": 5.601078167115903, + "grad_norm": 0.7042683959007263, + "learning_rate": 0.00026435617916891526, + "loss": 3.3395, + "step": 51950 + }, + { + "epoch": 5.606469002695418, + "grad_norm": 0.687217116355896, + "learning_rate": 0.0002640323799244468, + "loss": 3.3541, + "step": 52000 + }, + { + "epoch": 5.606469002695418, + "eval_accuracy": 0.38270795809605807, + "eval_loss": 3.3957579135894775, + "eval_runtime": 144.4258, + "eval_samples_per_second": 124.708, + "eval_steps_per_second": 7.796, + "step": 52000 + }, + { + "epoch": 5.611859838274933, + "grad_norm": 0.7226871252059937, + "learning_rate": 0.0002637085806799784, + "loss": 3.33, + "step": 52050 + }, + { + "epoch": 5.617250673854447, + "grad_norm": 0.7055585980415344, + "learning_rate": 0.00026338478143550997, + "loss": 3.3534, + "step": 52100 + }, + { + "epoch": 5.622641509433962, + "grad_norm": 0.7270804643630981, + "learning_rate": 0.00026306098219104157, + "loss": 3.3246, + "step": 52150 + }, + { + "epoch": 5.628032345013477, + "grad_norm": 0.7429816722869873, + "learning_rate": 0.00026273718294657307, + "loss": 3.3227, + "step": 52200 + }, + { + "epoch": 5.633423180592992, + "grad_norm": 0.6981556415557861, + "learning_rate": 0.00026241338370210467, + "loss": 3.342, + "step": 52250 + }, + { + "epoch": 5.638814016172507, + "grad_norm": 0.695846676826477, + "learning_rate": 0.0002620895844576362, + "loss": 3.358, + "step": 52300 + }, + { + "epoch": 5.644204851752022, + "grad_norm": 0.7060867547988892, + "learning_rate": 0.00026176578521316783, + "loss": 3.3285, + "step": 52350 + }, + { + "epoch": 5.649595687331536, + "grad_norm": 0.6964941620826721, + "learning_rate": 0.0002614419859686994, + "loss": 3.3238, + "step": 52400 + }, + { + "epoch": 5.654986522911051, + "grad_norm": 0.8142193555831909, + "learning_rate": 0.000261118186724231, + "loss": 3.3334, + "step": 52450 + }, + { + "epoch": 5.660377358490566, + "grad_norm": 0.7683114409446716, + "learning_rate": 0.00026079438747976253, + "loss": 3.349, + "step": 52500 + }, + { + "epoch": 5.665768194070081, + "grad_norm": 0.7481276392936707, + "learning_rate": 0.0002604705882352941, + "loss": 3.3428, + "step": 52550 + }, + { + "epoch": 5.671159029649596, + "grad_norm": 0.7752293944358826, + "learning_rate": 0.00026014678899082563, + "loss": 3.3439, + "step": 52600 + }, + { + "epoch": 5.67654986522911, + "grad_norm": 0.7023149728775024, + "learning_rate": 0.00025982298974635724, + "loss": 3.3571, + "step": 52650 + }, + { + "epoch": 5.681940700808625, + "grad_norm": 0.7217230200767517, + "learning_rate": 0.0002594991905018888, + "loss": 3.358, + "step": 52700 + }, + { + "epoch": 5.6873315363881405, + "grad_norm": 0.7547357082366943, + "learning_rate": 0.0002591753912574204, + "loss": 3.3512, + "step": 52750 + }, + { + "epoch": 5.692722371967655, + "grad_norm": 0.762870728969574, + "learning_rate": 0.00025885159201295195, + "loss": 3.3294, + "step": 52800 + }, + { + "epoch": 5.69811320754717, + "grad_norm": 0.7588973045349121, + "learning_rate": 0.0002585277927684835, + "loss": 3.334, + "step": 52850 + }, + { + "epoch": 5.703504043126685, + "grad_norm": 0.7037749886512756, + "learning_rate": 0.0002582039935240151, + "loss": 3.3558, + "step": 52900 + }, + { + "epoch": 5.708894878706199, + "grad_norm": 0.696289598941803, + "learning_rate": 0.00025788019427954665, + "loss": 3.3524, + "step": 52950 + }, + { + "epoch": 5.714285714285714, + "grad_norm": 0.7137579917907715, + "learning_rate": 0.00025755639503507826, + "loss": 3.347, + "step": 53000 + }, + { + "epoch": 5.714285714285714, + "eval_accuracy": 0.3831239900034997, + "eval_loss": 3.3917641639709473, + "eval_runtime": 144.3442, + "eval_samples_per_second": 124.778, + "eval_steps_per_second": 7.801, + "step": 53000 + }, + { + "epoch": 5.719676549865229, + "grad_norm": 0.6979992389678955, + "learning_rate": 0.0002572325957906098, + "loss": 3.3288, + "step": 53050 + }, + { + "epoch": 5.725067385444744, + "grad_norm": 0.7089249491691589, + "learning_rate": 0.00025690879654614136, + "loss": 3.3518, + "step": 53100 + }, + { + "epoch": 5.730458221024259, + "grad_norm": 0.7526663541793823, + "learning_rate": 0.0002565849973016729, + "loss": 3.3515, + "step": 53150 + }, + { + "epoch": 5.735849056603773, + "grad_norm": 0.7317113280296326, + "learning_rate": 0.0002562611980572045, + "loss": 3.3492, + "step": 53200 + }, + { + "epoch": 5.741239892183288, + "grad_norm": 0.7221770286560059, + "learning_rate": 0.00025593739881273606, + "loss": 3.3405, + "step": 53250 + }, + { + "epoch": 5.7466307277628035, + "grad_norm": 0.688494086265564, + "learning_rate": 0.00025561359956826767, + "loss": 3.3615, + "step": 53300 + }, + { + "epoch": 5.752021563342318, + "grad_norm": 0.7138562798500061, + "learning_rate": 0.0002552898003237992, + "loss": 3.3267, + "step": 53350 + }, + { + "epoch": 5.757412398921833, + "grad_norm": 0.7028967142105103, + "learning_rate": 0.0002549660010793308, + "loss": 3.3464, + "step": 53400 + }, + { + "epoch": 5.762803234501348, + "grad_norm": 0.8505129814147949, + "learning_rate": 0.0002546422018348624, + "loss": 3.3365, + "step": 53450 + }, + { + "epoch": 5.768194070080862, + "grad_norm": 0.7250940799713135, + "learning_rate": 0.0002543184025903939, + "loss": 3.3477, + "step": 53500 + }, + { + "epoch": 5.773584905660377, + "grad_norm": 0.6903457641601562, + "learning_rate": 0.0002539946033459255, + "loss": 3.3318, + "step": 53550 + }, + { + "epoch": 5.7789757412398925, + "grad_norm": 0.7478795051574707, + "learning_rate": 0.0002536708041014571, + "loss": 3.3295, + "step": 53600 + }, + { + "epoch": 5.784366576819407, + "grad_norm": 0.6617110371589661, + "learning_rate": 0.00025334700485698863, + "loss": 3.3269, + "step": 53650 + }, + { + "epoch": 5.789757412398922, + "grad_norm": 0.7265610098838806, + "learning_rate": 0.0002530296815974096, + "loss": 3.3387, + "step": 53700 + }, + { + "epoch": 5.795148247978437, + "grad_norm": 0.7066839337348938, + "learning_rate": 0.0002527058823529412, + "loss": 3.3429, + "step": 53750 + }, + { + "epoch": 5.800539083557951, + "grad_norm": 0.7426128387451172, + "learning_rate": 0.0002523820831084727, + "loss": 3.3513, + "step": 53800 + }, + { + "epoch": 5.8059299191374665, + "grad_norm": 0.6835800409317017, + "learning_rate": 0.0002520582838640043, + "loss": 3.338, + "step": 53850 + }, + { + "epoch": 5.811320754716981, + "grad_norm": 0.7507166266441345, + "learning_rate": 0.00025173448461953584, + "loss": 3.3408, + "step": 53900 + }, + { + "epoch": 5.816711590296496, + "grad_norm": 0.7032175064086914, + "learning_rate": 0.00025141068537506744, + "loss": 3.339, + "step": 53950 + }, + { + "epoch": 5.822102425876011, + "grad_norm": 0.6539283990859985, + "learning_rate": 0.000251086886130599, + "loss": 3.3347, + "step": 54000 + }, + { + "epoch": 5.822102425876011, + "eval_accuracy": 0.38358424363628185, + "eval_loss": 3.3862242698669434, + "eval_runtime": 144.5984, + "eval_samples_per_second": 124.559, + "eval_steps_per_second": 7.787, + "step": 54000 + }, + { + "epoch": 5.827493261455525, + "grad_norm": 0.7013541460037231, + "learning_rate": 0.0002507630868861306, + "loss": 3.3546, + "step": 54050 + }, + { + "epoch": 5.83288409703504, + "grad_norm": 0.7572037577629089, + "learning_rate": 0.00025043928764166215, + "loss": 3.3372, + "step": 54100 + }, + { + "epoch": 5.8382749326145555, + "grad_norm": 0.6840663552284241, + "learning_rate": 0.00025011548839719375, + "loss": 3.3602, + "step": 54150 + }, + { + "epoch": 5.84366576819407, + "grad_norm": 0.7282071709632874, + "learning_rate": 0.0002497916891527253, + "loss": 3.3645, + "step": 54200 + }, + { + "epoch": 5.849056603773585, + "grad_norm": 0.691611111164093, + "learning_rate": 0.00024946788990825686, + "loss": 3.3393, + "step": 54250 + }, + { + "epoch": 5.8544474393531, + "grad_norm": 0.7439831495285034, + "learning_rate": 0.0002491440906637884, + "loss": 3.347, + "step": 54300 + }, + { + "epoch": 5.859838274932614, + "grad_norm": 0.7478641271591187, + "learning_rate": 0.00024882029141932, + "loss": 3.3495, + "step": 54350 + }, + { + "epoch": 5.8652291105121295, + "grad_norm": 0.6928412914276123, + "learning_rate": 0.00024849649217485156, + "loss": 3.3451, + "step": 54400 + }, + { + "epoch": 5.870619946091644, + "grad_norm": 0.7091377973556519, + "learning_rate": 0.00024817269293038317, + "loss": 3.3328, + "step": 54450 + }, + { + "epoch": 5.876010781671159, + "grad_norm": 0.7480646967887878, + "learning_rate": 0.0002478488936859147, + "loss": 3.3442, + "step": 54500 + }, + { + "epoch": 5.881401617250674, + "grad_norm": 0.7517173290252686, + "learning_rate": 0.00024752509444144627, + "loss": 3.3458, + "step": 54550 + }, + { + "epoch": 5.886792452830189, + "grad_norm": 0.7140108942985535, + "learning_rate": 0.00024720129519697787, + "loss": 3.3454, + "step": 54600 + }, + { + "epoch": 5.892183288409703, + "grad_norm": 0.749847948551178, + "learning_rate": 0.0002468774959525094, + "loss": 3.3509, + "step": 54650 + }, + { + "epoch": 5.8975741239892185, + "grad_norm": 0.7366791367530823, + "learning_rate": 0.00024655369670804097, + "loss": 3.3389, + "step": 54700 + }, + { + "epoch": 5.902964959568733, + "grad_norm": 0.776725709438324, + "learning_rate": 0.0002462363734484619, + "loss": 3.3402, + "step": 54750 + }, + { + "epoch": 5.908355795148248, + "grad_norm": 0.7790849208831787, + "learning_rate": 0.00024591257420399353, + "loss": 3.3374, + "step": 54800 + }, + { + "epoch": 5.913746630727763, + "grad_norm": 0.6976567506790161, + "learning_rate": 0.0002455887749595251, + "loss": 3.341, + "step": 54850 + }, + { + "epoch": 5.919137466307277, + "grad_norm": 0.7408641576766968, + "learning_rate": 0.00024526497571505663, + "loss": 3.3418, + "step": 54900 + }, + { + "epoch": 5.9245283018867925, + "grad_norm": 0.8166471719741821, + "learning_rate": 0.00024494117647058824, + "loss": 3.3486, + "step": 54950 + }, + { + "epoch": 5.929919137466308, + "grad_norm": 0.7015873789787292, + "learning_rate": 0.0002446173772261198, + "loss": 3.3565, + "step": 55000 + }, + { + "epoch": 5.929919137466308, + "eval_accuracy": 0.3844023998815249, + "eval_loss": 3.38118839263916, + "eval_runtime": 144.4609, + "eval_samples_per_second": 124.677, + "eval_steps_per_second": 7.794, + "step": 55000 + }, + { + "epoch": 5.935309973045822, + "grad_norm": 0.772317111492157, + "learning_rate": 0.00024429357798165134, + "loss": 3.3602, + "step": 55050 + }, + { + "epoch": 5.940700808625337, + "grad_norm": 0.7168392539024353, + "learning_rate": 0.00024396977873718291, + "loss": 3.3497, + "step": 55100 + }, + { + "epoch": 5.946091644204852, + "grad_norm": 0.7470517754554749, + "learning_rate": 0.0002436459794927145, + "loss": 3.3451, + "step": 55150 + }, + { + "epoch": 5.951482479784366, + "grad_norm": 0.7503311634063721, + "learning_rate": 0.00024332218024824607, + "loss": 3.3545, + "step": 55200 + }, + { + "epoch": 5.9568733153638815, + "grad_norm": 0.7465424537658691, + "learning_rate": 0.00024299838100377765, + "loss": 3.3588, + "step": 55250 + }, + { + "epoch": 5.962264150943396, + "grad_norm": 0.6964436769485474, + "learning_rate": 0.00024267458175930922, + "loss": 3.3242, + "step": 55300 + }, + { + "epoch": 5.967654986522911, + "grad_norm": 0.7544224858283997, + "learning_rate": 0.0002423507825148408, + "loss": 3.334, + "step": 55350 + }, + { + "epoch": 5.973045822102426, + "grad_norm": 0.6809358596801758, + "learning_rate": 0.00024202698327037233, + "loss": 3.3367, + "step": 55400 + }, + { + "epoch": 5.97843665768194, + "grad_norm": 0.7538425922393799, + "learning_rate": 0.0002417031840259039, + "loss": 3.3287, + "step": 55450 + }, + { + "epoch": 5.9838274932614555, + "grad_norm": 0.7212376594543457, + "learning_rate": 0.00024137938478143548, + "loss": 3.3497, + "step": 55500 + }, + { + "epoch": 5.989218328840971, + "grad_norm": 0.7525458931922913, + "learning_rate": 0.00024105558553696706, + "loss": 3.3425, + "step": 55550 + }, + { + "epoch": 5.994609164420485, + "grad_norm": 0.7261298894882202, + "learning_rate": 0.00024073178629249864, + "loss": 3.3237, + "step": 55600 + }, + { + "epoch": 6.0, + "grad_norm": 1.5976569652557373, + "learning_rate": 0.00024040798704803021, + "loss": 3.3372, + "step": 55650 + }, + { + "epoch": 6.005390835579515, + "grad_norm": 0.7560473680496216, + "learning_rate": 0.00024008418780356176, + "loss": 3.2451, + "step": 55700 + }, + { + "epoch": 6.010781671159029, + "grad_norm": 0.7089710235595703, + "learning_rate": 0.00023976038855909334, + "loss": 3.2499, + "step": 55750 + }, + { + "epoch": 6.0161725067385445, + "grad_norm": 0.727899432182312, + "learning_rate": 0.00023943658931462492, + "loss": 3.2603, + "step": 55800 + }, + { + "epoch": 6.02156334231806, + "grad_norm": 0.7405480146408081, + "learning_rate": 0.00023911279007015647, + "loss": 3.2515, + "step": 55850 + }, + { + "epoch": 6.026954177897574, + "grad_norm": 0.7307968735694885, + "learning_rate": 0.00023878899082568805, + "loss": 3.2599, + "step": 55900 + }, + { + "epoch": 6.032345013477089, + "grad_norm": 0.7412907481193542, + "learning_rate": 0.00023846519158121963, + "loss": 3.2536, + "step": 55950 + }, + { + "epoch": 6.037735849056604, + "grad_norm": 0.7412428855895996, + "learning_rate": 0.0002381413923367512, + "loss": 3.2551, + "step": 56000 + }, + { + "epoch": 6.037735849056604, + "eval_accuracy": 0.3845462563049913, + "eval_loss": 3.3851492404937744, + "eval_runtime": 144.3583, + "eval_samples_per_second": 124.766, + "eval_steps_per_second": 7.8, + "step": 56000 + }, + { + "epoch": 6.0431266846361185, + "grad_norm": 0.7608617544174194, + "learning_rate": 0.00023781759309228275, + "loss": 3.2543, + "step": 56050 + }, + { + "epoch": 6.048517520215634, + "grad_norm": 0.7123560905456543, + "learning_rate": 0.00023749379384781433, + "loss": 3.2758, + "step": 56100 + }, + { + "epoch": 6.053908355795148, + "grad_norm": 0.6870105266571045, + "learning_rate": 0.0002371699946033459, + "loss": 3.2504, + "step": 56150 + }, + { + "epoch": 6.059299191374663, + "grad_norm": 0.6946421265602112, + "learning_rate": 0.0002368461953588775, + "loss": 3.2571, + "step": 56200 + }, + { + "epoch": 6.064690026954178, + "grad_norm": 0.6991093754768372, + "learning_rate": 0.00023652239611440904, + "loss": 3.2747, + "step": 56250 + }, + { + "epoch": 6.070080862533692, + "grad_norm": 0.7521548867225647, + "learning_rate": 0.00023619859686994062, + "loss": 3.2576, + "step": 56300 + }, + { + "epoch": 6.0754716981132075, + "grad_norm": 0.7925395965576172, + "learning_rate": 0.00023587479762547217, + "loss": 3.2711, + "step": 56350 + }, + { + "epoch": 6.080862533692723, + "grad_norm": 0.734521746635437, + "learning_rate": 0.00023555099838100374, + "loss": 3.2722, + "step": 56400 + }, + { + "epoch": 6.086253369272237, + "grad_norm": 0.6941896080970764, + "learning_rate": 0.00023522719913653532, + "loss": 3.265, + "step": 56450 + }, + { + "epoch": 6.091644204851752, + "grad_norm": 0.7175527811050415, + "learning_rate": 0.0002349033998920669, + "loss": 3.2713, + "step": 56500 + }, + { + "epoch": 6.097035040431267, + "grad_norm": 0.7173822522163391, + "learning_rate": 0.00023457960064759848, + "loss": 3.2923, + "step": 56550 + }, + { + "epoch": 6.1024258760107815, + "grad_norm": 0.7203914523124695, + "learning_rate": 0.00023425580140313005, + "loss": 3.2881, + "step": 56600 + }, + { + "epoch": 6.107816711590297, + "grad_norm": 0.7852560877799988, + "learning_rate": 0.00023393200215866163, + "loss": 3.2643, + "step": 56650 + }, + { + "epoch": 6.113207547169812, + "grad_norm": 0.7339677810668945, + "learning_rate": 0.00023360820291419316, + "loss": 3.284, + "step": 56700 + }, + { + "epoch": 6.118598382749326, + "grad_norm": 0.7083250284194946, + "learning_rate": 0.00023328440366972473, + "loss": 3.2735, + "step": 56750 + }, + { + "epoch": 6.123989218328841, + "grad_norm": 0.7083043456077576, + "learning_rate": 0.0002329606044252563, + "loss": 3.2641, + "step": 56800 + }, + { + "epoch": 6.129380053908355, + "grad_norm": 0.7478223443031311, + "learning_rate": 0.0002326368051807879, + "loss": 3.2636, + "step": 56850 + }, + { + "epoch": 6.1347708894878705, + "grad_norm": 0.7465955018997192, + "learning_rate": 0.00023231300593631947, + "loss": 3.2659, + "step": 56900 + }, + { + "epoch": 6.140161725067386, + "grad_norm": 0.7111784815788269, + "learning_rate": 0.00023198920669185104, + "loss": 3.2787, + "step": 56950 + }, + { + "epoch": 6.1455525606469, + "grad_norm": 0.7591080665588379, + "learning_rate": 0.00023166540744738262, + "loss": 3.2716, + "step": 57000 + }, + { + "epoch": 6.1455525606469, + "eval_accuracy": 0.3843093930095557, + "eval_loss": 3.3840153217315674, + "eval_runtime": 144.383, + "eval_samples_per_second": 124.745, + "eval_steps_per_second": 7.799, + "step": 57000 + }, + { + "epoch": 6.150943396226415, + "grad_norm": 0.7147782444953918, + "learning_rate": 0.0002313416082029142, + "loss": 3.2843, + "step": 57050 + }, + { + "epoch": 6.15633423180593, + "grad_norm": 0.7511909008026123, + "learning_rate": 0.00023101780895844572, + "loss": 3.2651, + "step": 57100 + }, + { + "epoch": 6.1617250673854445, + "grad_norm": 0.8061673045158386, + "learning_rate": 0.0002306940097139773, + "loss": 3.2749, + "step": 57150 + }, + { + "epoch": 6.16711590296496, + "grad_norm": 0.7521399259567261, + "learning_rate": 0.00023037021046950888, + "loss": 3.2692, + "step": 57200 + }, + { + "epoch": 6.172506738544475, + "grad_norm": 0.7413508296012878, + "learning_rate": 0.00023004641122504046, + "loss": 3.273, + "step": 57250 + }, + { + "epoch": 6.177897574123989, + "grad_norm": 0.7605106830596924, + "learning_rate": 0.00022972261198057203, + "loss": 3.2724, + "step": 57300 + }, + { + "epoch": 6.183288409703504, + "grad_norm": 0.7825957536697388, + "learning_rate": 0.0002293988127361036, + "loss": 3.2799, + "step": 57350 + }, + { + "epoch": 6.188679245283019, + "grad_norm": 0.7622434496879578, + "learning_rate": 0.00022907501349163516, + "loss": 3.2856, + "step": 57400 + }, + { + "epoch": 6.1940700808625335, + "grad_norm": 0.7651059627532959, + "learning_rate": 0.00022875121424716674, + "loss": 3.3013, + "step": 57450 + }, + { + "epoch": 6.199460916442049, + "grad_norm": 0.7417478561401367, + "learning_rate": 0.00022842741500269832, + "loss": 3.2535, + "step": 57500 + }, + { + "epoch": 6.204851752021563, + "grad_norm": 0.7812780737876892, + "learning_rate": 0.00022810361575822987, + "loss": 3.3047, + "step": 57550 + }, + { + "epoch": 6.210242587601078, + "grad_norm": 0.7450320720672607, + "learning_rate": 0.00022777981651376145, + "loss": 3.2724, + "step": 57600 + }, + { + "epoch": 6.215633423180593, + "grad_norm": 0.704971432685852, + "learning_rate": 0.00022745601726929302, + "loss": 3.2779, + "step": 57650 + }, + { + "epoch": 6.2210242587601075, + "grad_norm": 0.7325422167778015, + "learning_rate": 0.00022713221802482457, + "loss": 3.2972, + "step": 57700 + }, + { + "epoch": 6.226415094339623, + "grad_norm": 0.7226464748382568, + "learning_rate": 0.00022680841878035615, + "loss": 3.2812, + "step": 57750 + }, + { + "epoch": 6.231805929919138, + "grad_norm": 0.7323125004768372, + "learning_rate": 0.00022648461953588773, + "loss": 3.2871, + "step": 57800 + }, + { + "epoch": 6.237196765498652, + "grad_norm": 0.7361631989479065, + "learning_rate": 0.0002261608202914193, + "loss": 3.2881, + "step": 57850 + }, + { + "epoch": 6.242587601078167, + "grad_norm": 0.7684759497642517, + "learning_rate": 0.00022583702104695088, + "loss": 3.2876, + "step": 57900 + }, + { + "epoch": 6.247978436657682, + "grad_norm": 0.7734968662261963, + "learning_rate": 0.00022551322180248246, + "loss": 3.2693, + "step": 57950 + }, + { + "epoch": 6.2533692722371965, + "grad_norm": 0.7811702489852905, + "learning_rate": 0.00022518942255801399, + "loss": 3.2895, + "step": 58000 + }, + { + "epoch": 6.2533692722371965, + "eval_accuracy": 0.3848163673840981, + "eval_loss": 3.381255626678467, + "eval_runtime": 144.6854, + "eval_samples_per_second": 124.484, + "eval_steps_per_second": 7.782, + "step": 58000 + }, + { + "epoch": 6.258760107816712, + "grad_norm": 0.7119957804679871, + "learning_rate": 0.00022486562331354556, + "loss": 3.2806, + "step": 58050 + }, + { + "epoch": 6.264150943396227, + "grad_norm": 0.7434617877006531, + "learning_rate": 0.00022454182406907714, + "loss": 3.2857, + "step": 58100 + }, + { + "epoch": 6.269541778975741, + "grad_norm": 0.7248224020004272, + "learning_rate": 0.00022421802482460872, + "loss": 3.2801, + "step": 58150 + }, + { + "epoch": 6.274932614555256, + "grad_norm": 0.7341305017471313, + "learning_rate": 0.0002238942255801403, + "loss": 3.2775, + "step": 58200 + }, + { + "epoch": 6.280323450134771, + "grad_norm": 0.8089809417724609, + "learning_rate": 0.00022357042633567187, + "loss": 3.286, + "step": 58250 + }, + { + "epoch": 6.285714285714286, + "grad_norm": 0.7188864350318909, + "learning_rate": 0.00022324662709120345, + "loss": 3.2696, + "step": 58300 + }, + { + "epoch": 6.291105121293801, + "grad_norm": 0.7826777696609497, + "learning_rate": 0.00022292282784673503, + "loss": 3.3009, + "step": 58350 + }, + { + "epoch": 6.296495956873315, + "grad_norm": 0.7758088707923889, + "learning_rate": 0.00022259902860226655, + "loss": 3.2809, + "step": 58400 + }, + { + "epoch": 6.30188679245283, + "grad_norm": 0.8148401379585266, + "learning_rate": 0.00022227522935779813, + "loss": 3.2821, + "step": 58450 + }, + { + "epoch": 6.307277628032345, + "grad_norm": 0.7606106996536255, + "learning_rate": 0.0002219514301133297, + "loss": 3.2742, + "step": 58500 + }, + { + "epoch": 6.3126684636118595, + "grad_norm": 0.7480827569961548, + "learning_rate": 0.00022162763086886129, + "loss": 3.2842, + "step": 58550 + }, + { + "epoch": 6.318059299191375, + "grad_norm": 0.7575658559799194, + "learning_rate": 0.00022130383162439286, + "loss": 3.3005, + "step": 58600 + }, + { + "epoch": 6.32345013477089, + "grad_norm": 0.7664201855659485, + "learning_rate": 0.00022098003237992444, + "loss": 3.2767, + "step": 58650 + }, + { + "epoch": 6.328840970350404, + "grad_norm": 0.7767562866210938, + "learning_rate": 0.00022065623313545602, + "loss": 3.291, + "step": 58700 + }, + { + "epoch": 6.334231805929919, + "grad_norm": 0.7493231296539307, + "learning_rate": 0.00022033243389098757, + "loss": 3.2951, + "step": 58750 + }, + { + "epoch": 6.339622641509434, + "grad_norm": 0.7707173228263855, + "learning_rate": 0.00022000863464651915, + "loss": 3.2937, + "step": 58800 + }, + { + "epoch": 6.345013477088949, + "grad_norm": 0.72657310962677, + "learning_rate": 0.0002196848354020507, + "loss": 3.2795, + "step": 58850 + }, + { + "epoch": 6.350404312668464, + "grad_norm": 0.7847123742103577, + "learning_rate": 0.00021936103615758227, + "loss": 3.2807, + "step": 58900 + }, + { + "epoch": 6.355795148247978, + "grad_norm": 0.7235740423202515, + "learning_rate": 0.00021903723691311385, + "loss": 3.2834, + "step": 58950 + }, + { + "epoch": 6.361185983827493, + "grad_norm": 0.746766209602356, + "learning_rate": 0.0002187199136535348, + "loss": 3.2759, + "step": 59000 + }, + { + "epoch": 6.361185983827493, + "eval_accuracy": 0.38557791547478976, + "eval_loss": 3.3767313957214355, + "eval_runtime": 144.3707, + "eval_samples_per_second": 124.755, + "eval_steps_per_second": 7.799, + "step": 59000 + }, + { + "epoch": 6.366576819407008, + "grad_norm": 0.7392002940177917, + "learning_rate": 0.00021839611440906638, + "loss": 3.2819, + "step": 59050 + }, + { + "epoch": 6.3719676549865225, + "grad_norm": 0.7772441506385803, + "learning_rate": 0.00021807231516459793, + "loss": 3.2792, + "step": 59100 + }, + { + "epoch": 6.377358490566038, + "grad_norm": 0.7302360534667969, + "learning_rate": 0.00021774851592012948, + "loss": 3.2906, + "step": 59150 + }, + { + "epoch": 6.382749326145553, + "grad_norm": 0.7985934019088745, + "learning_rate": 0.00021742471667566106, + "loss": 3.295, + "step": 59200 + }, + { + "epoch": 6.388140161725067, + "grad_norm": 0.7689845561981201, + "learning_rate": 0.00021710091743119264, + "loss": 3.2852, + "step": 59250 + }, + { + "epoch": 6.393530997304582, + "grad_norm": 0.7513689994812012, + "learning_rate": 0.00021677711818672422, + "loss": 3.304, + "step": 59300 + }, + { + "epoch": 6.398921832884097, + "grad_norm": 0.7443680763244629, + "learning_rate": 0.0002164533189422558, + "loss": 3.2819, + "step": 59350 + }, + { + "epoch": 6.404312668463612, + "grad_norm": 0.7067058682441711, + "learning_rate": 0.00021612951969778734, + "loss": 3.2802, + "step": 59400 + }, + { + "epoch": 6.409703504043127, + "grad_norm": 0.7308558821678162, + "learning_rate": 0.00021580572045331892, + "loss": 3.2935, + "step": 59450 + }, + { + "epoch": 6.415094339622642, + "grad_norm": 0.7577722072601318, + "learning_rate": 0.0002154819212088505, + "loss": 3.2836, + "step": 59500 + }, + { + "epoch": 6.420485175202156, + "grad_norm": 0.7250074744224548, + "learning_rate": 0.00021515812196438208, + "loss": 3.2736, + "step": 59550 + }, + { + "epoch": 6.425876010781671, + "grad_norm": 0.7675480842590332, + "learning_rate": 0.00021483432271991363, + "loss": 3.2841, + "step": 59600 + }, + { + "epoch": 6.431266846361186, + "grad_norm": 0.7345036268234253, + "learning_rate": 0.0002145105234754452, + "loss": 3.2902, + "step": 59650 + }, + { + "epoch": 6.436657681940701, + "grad_norm": 0.7689955830574036, + "learning_rate": 0.00021418672423097676, + "loss": 3.2837, + "step": 59700 + }, + { + "epoch": 6.442048517520216, + "grad_norm": 0.7610852122306824, + "learning_rate": 0.00021386292498650833, + "loss": 3.296, + "step": 59750 + }, + { + "epoch": 6.44743935309973, + "grad_norm": 0.7398020029067993, + "learning_rate": 0.0002135391257420399, + "loss": 3.2849, + "step": 59800 + }, + { + "epoch": 6.452830188679245, + "grad_norm": 0.802862286567688, + "learning_rate": 0.0002132153264975715, + "loss": 3.2935, + "step": 59850 + }, + { + "epoch": 6.45822102425876, + "grad_norm": 0.7436445951461792, + "learning_rate": 0.00021289152725310307, + "loss": 3.2808, + "step": 59900 + }, + { + "epoch": 6.463611859838275, + "grad_norm": 0.7063605189323425, + "learning_rate": 0.00021256772800863464, + "loss": 3.2951, + "step": 59950 + }, + { + "epoch": 6.46900269541779, + "grad_norm": 0.7640798091888428, + "learning_rate": 0.0002122439287641662, + "loss": 3.2909, + "step": 60000 + }, + { + "epoch": 6.46900269541779, + "eval_accuracy": 0.3852879209172129, + "eval_loss": 3.3732810020446777, + "eval_runtime": 144.6215, + "eval_samples_per_second": 124.539, + "eval_steps_per_second": 7.786, + "step": 60000 + }, + { + "epoch": 6.474393530997305, + "grad_norm": 0.7530982494354248, + "learning_rate": 0.00021192012951969775, + "loss": 3.2986, + "step": 60050 + }, + { + "epoch": 6.479784366576819, + "grad_norm": 0.7675153017044067, + "learning_rate": 0.00021159633027522932, + "loss": 3.2966, + "step": 60100 + }, + { + "epoch": 6.485175202156334, + "grad_norm": 0.7828149199485779, + "learning_rate": 0.0002112725310307609, + "loss": 3.2864, + "step": 60150 + }, + { + "epoch": 6.490566037735849, + "grad_norm": 0.8154207468032837, + "learning_rate": 0.00021094873178629248, + "loss": 3.3123, + "step": 60200 + }, + { + "epoch": 6.495956873315364, + "grad_norm": 0.7550340294837952, + "learning_rate": 0.00021062493254182406, + "loss": 3.2852, + "step": 60250 + }, + { + "epoch": 6.501347708894879, + "grad_norm": 0.7429071664810181, + "learning_rate": 0.00021030113329735563, + "loss": 3.2918, + "step": 60300 + }, + { + "epoch": 6.506738544474393, + "grad_norm": 0.7747331857681274, + "learning_rate": 0.0002099773340528872, + "loss": 3.2918, + "step": 60350 + }, + { + "epoch": 6.512129380053908, + "grad_norm": 0.7545101642608643, + "learning_rate": 0.0002096535348084188, + "loss": 3.2888, + "step": 60400 + }, + { + "epoch": 6.517520215633423, + "grad_norm": 0.7542675733566284, + "learning_rate": 0.0002093297355639503, + "loss": 3.305, + "step": 60450 + }, + { + "epoch": 6.5229110512129385, + "grad_norm": 0.756078839302063, + "learning_rate": 0.0002090059363194819, + "loss": 3.2923, + "step": 60500 + }, + { + "epoch": 6.528301886792453, + "grad_norm": 0.7515999674797058, + "learning_rate": 0.00020868213707501347, + "loss": 3.3115, + "step": 60550 + }, + { + "epoch": 6.533692722371968, + "grad_norm": 0.7256953716278076, + "learning_rate": 0.00020835833783054505, + "loss": 3.3078, + "step": 60600 + }, + { + "epoch": 6.539083557951482, + "grad_norm": 0.7823131084442139, + "learning_rate": 0.00020803453858607662, + "loss": 3.2934, + "step": 60650 + }, + { + "epoch": 6.544474393530997, + "grad_norm": 0.7566144466400146, + "learning_rate": 0.0002077107393416082, + "loss": 3.3089, + "step": 60700 + }, + { + "epoch": 6.549865229110512, + "grad_norm": 0.7706971764564514, + "learning_rate": 0.00020738694009713975, + "loss": 3.2953, + "step": 60750 + }, + { + "epoch": 6.555256064690027, + "grad_norm": 0.736495316028595, + "learning_rate": 0.00020706314085267133, + "loss": 3.2867, + "step": 60800 + }, + { + "epoch": 6.560646900269542, + "grad_norm": 0.8221260905265808, + "learning_rate": 0.00020673934160820288, + "loss": 3.3029, + "step": 60850 + }, + { + "epoch": 6.566037735849057, + "grad_norm": 0.8052125573158264, + "learning_rate": 0.00020641554236373446, + "loss": 3.2873, + "step": 60900 + }, + { + "epoch": 6.571428571428571, + "grad_norm": 0.7632663249969482, + "learning_rate": 0.00020609174311926604, + "loss": 3.2892, + "step": 60950 + }, + { + "epoch": 6.576819407008086, + "grad_norm": 0.7742993831634521, + "learning_rate": 0.0002057679438747976, + "loss": 3.2835, + "step": 61000 + }, + { + "epoch": 6.576819407008086, + "eval_accuracy": 0.3859351661699238, + "eval_loss": 3.3691229820251465, + "eval_runtime": 144.5776, + "eval_samples_per_second": 124.577, + "eval_steps_per_second": 7.788, + "step": 61000 + }, + { + "epoch": 6.5822102425876015, + "grad_norm": 0.7621163129806519, + "learning_rate": 0.00020544414463032916, + "loss": 3.282, + "step": 61050 + }, + { + "epoch": 6.587601078167116, + "grad_norm": 0.7276231646537781, + "learning_rate": 0.00020512034538586074, + "loss": 3.2727, + "step": 61100 + }, + { + "epoch": 6.592991913746631, + "grad_norm": 0.7370527982711792, + "learning_rate": 0.00020479654614139232, + "loss": 3.2849, + "step": 61150 + }, + { + "epoch": 6.598382749326145, + "grad_norm": 0.769776463508606, + "learning_rate": 0.0002044727468969239, + "loss": 3.2873, + "step": 61200 + }, + { + "epoch": 6.60377358490566, + "grad_norm": 0.7550665140151978, + "learning_rate": 0.00020414894765245547, + "loss": 3.287, + "step": 61250 + }, + { + "epoch": 6.609164420485175, + "grad_norm": 0.730098307132721, + "learning_rate": 0.00020382514840798702, + "loss": 3.294, + "step": 61300 + }, + { + "epoch": 6.6145552560646905, + "grad_norm": 0.7400188446044922, + "learning_rate": 0.0002035013491635186, + "loss": 3.2924, + "step": 61350 + }, + { + "epoch": 6.619946091644205, + "grad_norm": 0.8200154900550842, + "learning_rate": 0.00020317754991905015, + "loss": 3.2754, + "step": 61400 + }, + { + "epoch": 6.62533692722372, + "grad_norm": 0.7727325558662415, + "learning_rate": 0.00020285375067458173, + "loss": 3.3058, + "step": 61450 + }, + { + "epoch": 6.630727762803234, + "grad_norm": 0.7708116769790649, + "learning_rate": 0.0002025299514301133, + "loss": 3.2838, + "step": 61500 + }, + { + "epoch": 6.636118598382749, + "grad_norm": 0.799055278301239, + "learning_rate": 0.00020220615218564489, + "loss": 3.2998, + "step": 61550 + }, + { + "epoch": 6.6415094339622645, + "grad_norm": 0.7551531195640564, + "learning_rate": 0.00020188235294117646, + "loss": 3.2843, + "step": 61600 + }, + { + "epoch": 6.646900269541779, + "grad_norm": 0.7552589774131775, + "learning_rate": 0.00020155855369670804, + "loss": 3.2813, + "step": 61650 + }, + { + "epoch": 6.652291105121294, + "grad_norm": 0.783363401889801, + "learning_rate": 0.00020123475445223956, + "loss": 3.3085, + "step": 61700 + }, + { + "epoch": 6.657681940700809, + "grad_norm": 0.741226851940155, + "learning_rate": 0.00020091743119266052, + "loss": 3.2997, + "step": 61750 + }, + { + "epoch": 6.663072776280323, + "grad_norm": 0.8101751208305359, + "learning_rate": 0.0002005936319481921, + "loss": 3.2885, + "step": 61800 + }, + { + "epoch": 6.668463611859838, + "grad_norm": 0.743066132068634, + "learning_rate": 0.00020026983270372367, + "loss": 3.2971, + "step": 61850 + }, + { + "epoch": 6.6738544474393535, + "grad_norm": 0.7548127770423889, + "learning_rate": 0.00019994603345925525, + "loss": 3.2919, + "step": 61900 + }, + { + "epoch": 6.679245283018868, + "grad_norm": 0.7908535003662109, + "learning_rate": 0.00019962223421478683, + "loss": 3.2903, + "step": 61950 + }, + { + "epoch": 6.684636118598383, + "grad_norm": 0.724936306476593, + "learning_rate": 0.0001992984349703184, + "loss": 3.3046, + "step": 62000 + }, + { + "epoch": 6.684636118598383, + "eval_accuracy": 0.38654590405232897, + "eval_loss": 3.365043878555298, + "eval_runtime": 144.3625, + "eval_samples_per_second": 124.762, + "eval_steps_per_second": 7.8, + "step": 62000 + }, + { + "epoch": 6.690026954177897, + "grad_norm": 0.7651430368423462, + "learning_rate": 0.00019897463572584993, + "loss": 3.2898, + "step": 62050 + }, + { + "epoch": 6.695417789757412, + "grad_norm": 0.7043150663375854, + "learning_rate": 0.0001986508364813815, + "loss": 3.2864, + "step": 62100 + }, + { + "epoch": 6.7008086253369274, + "grad_norm": 0.7986223101615906, + "learning_rate": 0.00019832703723691308, + "loss": 3.2932, + "step": 62150 + }, + { + "epoch": 6.706199460916442, + "grad_norm": 0.8105931282043457, + "learning_rate": 0.00019800323799244466, + "loss": 3.2967, + "step": 62200 + }, + { + "epoch": 6.711590296495957, + "grad_norm": 0.7135691046714783, + "learning_rate": 0.00019767943874797624, + "loss": 3.2969, + "step": 62250 + }, + { + "epoch": 6.716981132075472, + "grad_norm": 0.7264803647994995, + "learning_rate": 0.00019735563950350782, + "loss": 3.2891, + "step": 62300 + }, + { + "epoch": 6.722371967654986, + "grad_norm": 0.7567557096481323, + "learning_rate": 0.0001970318402590394, + "loss": 3.2933, + "step": 62350 + }, + { + "epoch": 6.727762803234501, + "grad_norm": 0.7331606149673462, + "learning_rate": 0.00019670804101457097, + "loss": 3.2959, + "step": 62400 + }, + { + "epoch": 6.7331536388140165, + "grad_norm": 0.779417097568512, + "learning_rate": 0.00019638424177010252, + "loss": 3.2915, + "step": 62450 + }, + { + "epoch": 6.738544474393531, + "grad_norm": 0.7825338244438171, + "learning_rate": 0.00019606044252563407, + "loss": 3.2879, + "step": 62500 + }, + { + "epoch": 6.743935309973046, + "grad_norm": 0.7534582614898682, + "learning_rate": 0.00019573664328116565, + "loss": 3.3049, + "step": 62550 + }, + { + "epoch": 6.74932614555256, + "grad_norm": 0.7738751173019409, + "learning_rate": 0.00019541284403669723, + "loss": 3.2839, + "step": 62600 + }, + { + "epoch": 6.754716981132075, + "grad_norm": 0.7626593112945557, + "learning_rate": 0.0001950890447922288, + "loss": 3.2903, + "step": 62650 + }, + { + "epoch": 6.7601078167115904, + "grad_norm": 0.7758113145828247, + "learning_rate": 0.00019476524554776038, + "loss": 3.2867, + "step": 62700 + }, + { + "epoch": 6.765498652291106, + "grad_norm": 0.7640058398246765, + "learning_rate": 0.00019444144630329193, + "loss": 3.2852, + "step": 62750 + }, + { + "epoch": 6.77088948787062, + "grad_norm": 0.7460499405860901, + "learning_rate": 0.0001941176470588235, + "loss": 3.2869, + "step": 62800 + }, + { + "epoch": 6.776280323450135, + "grad_norm": 0.7564590573310852, + "learning_rate": 0.0001937938478143551, + "loss": 3.2819, + "step": 62850 + }, + { + "epoch": 6.781671159029649, + "grad_norm": 0.7723701000213623, + "learning_rate": 0.00019347004856988664, + "loss": 3.309, + "step": 62900 + }, + { + "epoch": 6.787061994609164, + "grad_norm": 0.7954161167144775, + "learning_rate": 0.00019314624932541822, + "loss": 3.2894, + "step": 62950 + }, + { + "epoch": 6.7924528301886795, + "grad_norm": 0.7797737121582031, + "learning_rate": 0.0001928224500809498, + "loss": 3.2794, + "step": 63000 + }, + { + "epoch": 6.7924528301886795, + "eval_accuracy": 0.3867218130777006, + "eval_loss": 3.3618416786193848, + "eval_runtime": 144.5911, + "eval_samples_per_second": 124.565, + "eval_steps_per_second": 7.787, + "step": 63000 + }, + { + "epoch": 6.797843665768194, + "grad_norm": 0.7578842043876648, + "learning_rate": 0.00019249865083648137, + "loss": 3.3, + "step": 63050 + }, + { + "epoch": 6.803234501347709, + "grad_norm": 0.7800530195236206, + "learning_rate": 0.00019217485159201292, + "loss": 3.2958, + "step": 63100 + }, + { + "epoch": 6.808625336927224, + "grad_norm": 0.7879495024681091, + "learning_rate": 0.0001918510523475445, + "loss": 3.2885, + "step": 63150 + }, + { + "epoch": 6.814016172506738, + "grad_norm": 0.7620939612388611, + "learning_rate": 0.00019152725310307608, + "loss": 3.3088, + "step": 63200 + }, + { + "epoch": 6.819407008086253, + "grad_norm": 1.0602725744247437, + "learning_rate": 0.00019120345385860766, + "loss": 3.2894, + "step": 63250 + }, + { + "epoch": 6.824797843665769, + "grad_norm": 0.7571866512298584, + "learning_rate": 0.00019087965461413923, + "loss": 3.2947, + "step": 63300 + }, + { + "epoch": 6.830188679245283, + "grad_norm": 0.775108814239502, + "learning_rate": 0.00019055585536967079, + "loss": 3.2748, + "step": 63350 + }, + { + "epoch": 6.835579514824798, + "grad_norm": 0.7376972436904907, + "learning_rate": 0.00019023205612520234, + "loss": 3.2901, + "step": 63400 + }, + { + "epoch": 6.840970350404312, + "grad_norm": 0.7462282776832581, + "learning_rate": 0.00018990825688073391, + "loss": 3.2836, + "step": 63450 + }, + { + "epoch": 6.846361185983827, + "grad_norm": 0.7361283302307129, + "learning_rate": 0.0001895844576362655, + "loss": 3.3086, + "step": 63500 + }, + { + "epoch": 6.8517520215633425, + "grad_norm": 0.8018236756324768, + "learning_rate": 0.00018926065839179707, + "loss": 3.2844, + "step": 63550 + }, + { + "epoch": 6.857142857142857, + "grad_norm": 0.7797961831092834, + "learning_rate": 0.00018893685914732865, + "loss": 3.3116, + "step": 63600 + }, + { + "epoch": 6.862533692722372, + "grad_norm": 0.775970458984375, + "learning_rate": 0.00018861305990286022, + "loss": 3.2958, + "step": 63650 + }, + { + "epoch": 6.867924528301887, + "grad_norm": 0.8205097913742065, + "learning_rate": 0.0001882892606583918, + "loss": 3.2961, + "step": 63700 + }, + { + "epoch": 6.873315363881401, + "grad_norm": 0.7419096827507019, + "learning_rate": 0.00018796546141392333, + "loss": 3.3136, + "step": 63750 + }, + { + "epoch": 6.878706199460916, + "grad_norm": 0.8057942390441895, + "learning_rate": 0.0001876416621694549, + "loss": 3.3051, + "step": 63800 + }, + { + "epoch": 6.884097035040432, + "grad_norm": 0.76636803150177, + "learning_rate": 0.00018731786292498648, + "loss": 3.2925, + "step": 63850 + }, + { + "epoch": 6.889487870619946, + "grad_norm": 0.7636591792106628, + "learning_rate": 0.00018699406368051806, + "loss": 3.2883, + "step": 63900 + }, + { + "epoch": 6.894878706199461, + "grad_norm": 0.7943454384803772, + "learning_rate": 0.00018667026443604964, + "loss": 3.2975, + "step": 63950 + }, + { + "epoch": 6.900269541778976, + "grad_norm": 0.7841466069221497, + "learning_rate": 0.00018634646519158121, + "loss": 3.2831, + "step": 64000 + }, + { + "epoch": 6.900269541778976, + "eval_accuracy": 0.38728007161529143, + "eval_loss": 3.355625867843628, + "eval_runtime": 144.5744, + "eval_samples_per_second": 124.579, + "eval_steps_per_second": 7.788, + "step": 64000 + }, + { + "epoch": 6.90566037735849, + "grad_norm": 0.7233343124389648, + "learning_rate": 0.0001860226659471128, + "loss": 3.2908, + "step": 64050 + }, + { + "epoch": 6.9110512129380055, + "grad_norm": 0.7608718276023865, + "learning_rate": 0.00018569886670264434, + "loss": 3.2898, + "step": 64100 + }, + { + "epoch": 6.916442048517521, + "grad_norm": 0.8043278455734253, + "learning_rate": 0.00018537506745817592, + "loss": 3.3015, + "step": 64150 + }, + { + "epoch": 6.921832884097035, + "grad_norm": 0.791998565196991, + "learning_rate": 0.00018505126821370747, + "loss": 3.2864, + "step": 64200 + }, + { + "epoch": 6.92722371967655, + "grad_norm": 0.757971465587616, + "learning_rate": 0.00018472746896923905, + "loss": 3.3027, + "step": 64250 + }, + { + "epoch": 6.932614555256064, + "grad_norm": 0.7807918190956116, + "learning_rate": 0.00018440366972477063, + "loss": 3.2941, + "step": 64300 + }, + { + "epoch": 6.938005390835579, + "grad_norm": 0.7496076226234436, + "learning_rate": 0.0001840798704803022, + "loss": 3.2869, + "step": 64350 + }, + { + "epoch": 6.943396226415095, + "grad_norm": 0.762690544128418, + "learning_rate": 0.00018375607123583378, + "loss": 3.3001, + "step": 64400 + }, + { + "epoch": 6.948787061994609, + "grad_norm": 0.7572615742683411, + "learning_rate": 0.00018343227199136533, + "loss": 3.2748, + "step": 64450 + }, + { + "epoch": 6.954177897574124, + "grad_norm": 0.7597922682762146, + "learning_rate": 0.0001831084727468969, + "loss": 3.3052, + "step": 64500 + }, + { + "epoch": 6.959568733153639, + "grad_norm": 0.7559393644332886, + "learning_rate": 0.0001827846735024285, + "loss": 3.2943, + "step": 64550 + }, + { + "epoch": 6.964959568733153, + "grad_norm": 0.788176417350769, + "learning_rate": 0.00018246087425796004, + "loss": 3.2798, + "step": 64600 + }, + { + "epoch": 6.9703504043126685, + "grad_norm": 0.777248740196228, + "learning_rate": 0.00018213707501349162, + "loss": 3.2945, + "step": 64650 + }, + { + "epoch": 6.975741239892184, + "grad_norm": 0.7345637679100037, + "learning_rate": 0.0001818132757690232, + "loss": 3.3001, + "step": 64700 + }, + { + "epoch": 6.981132075471698, + "grad_norm": 0.7891983985900879, + "learning_rate": 0.00018148947652455474, + "loss": 3.285, + "step": 64750 + }, + { + "epoch": 6.986522911051213, + "grad_norm": 0.8329722881317139, + "learning_rate": 0.00018116567728008632, + "loss": 3.2956, + "step": 64800 + }, + { + "epoch": 6.991913746630727, + "grad_norm": 0.7928962707519531, + "learning_rate": 0.0001808418780356179, + "loss": 3.268, + "step": 64850 + }, + { + "epoch": 6.997304582210242, + "grad_norm": 0.7622669339179993, + "learning_rate": 0.00018051807879114948, + "loss": 3.3115, + "step": 64900 + }, + { + "epoch": 7.002695417789758, + "grad_norm": 0.7296371459960938, + "learning_rate": 0.00018019427954668105, + "loss": 3.2624, + "step": 64950 + }, + { + "epoch": 7.008086253369272, + "grad_norm": 0.8181959390640259, + "learning_rate": 0.00017987048030221263, + "loss": 3.2134, + "step": 65000 + }, + { + "epoch": 7.008086253369272, + "eval_accuracy": 0.38744533265765724, + "eval_loss": 3.3601229190826416, + "eval_runtime": 145.6904, + "eval_samples_per_second": 123.625, + "eval_steps_per_second": 7.729, + "step": 65000 + }, + { + "epoch": 7.013477088948787, + "grad_norm": 0.8222470283508301, + "learning_rate": 0.00017954668105774416, + "loss": 3.2144, + "step": 65050 + }, + { + "epoch": 7.018867924528302, + "grad_norm": 0.7402681708335876, + "learning_rate": 0.00017922288181327573, + "loss": 3.215, + "step": 65100 + }, + { + "epoch": 7.024258760107816, + "grad_norm": 0.8450102806091309, + "learning_rate": 0.0001788990825688073, + "loss": 3.2204, + "step": 65150 + }, + { + "epoch": 7.0296495956873315, + "grad_norm": 0.7753925323486328, + "learning_rate": 0.0001785752833243389, + "loss": 3.2281, + "step": 65200 + }, + { + "epoch": 7.035040431266847, + "grad_norm": 0.775593638420105, + "learning_rate": 0.00017825148407987047, + "loss": 3.2031, + "step": 65250 + }, + { + "epoch": 7.040431266846361, + "grad_norm": 0.7500091195106506, + "learning_rate": 0.00017793416082029142, + "loss": 3.2181, + "step": 65300 + }, + { + "epoch": 7.045822102425876, + "grad_norm": 0.7804417014122009, + "learning_rate": 0.000177610361575823, + "loss": 3.2131, + "step": 65350 + }, + { + "epoch": 7.051212938005391, + "grad_norm": 0.7608639597892761, + "learning_rate": 0.00017728656233135452, + "loss": 3.2145, + "step": 65400 + }, + { + "epoch": 7.056603773584905, + "grad_norm": 0.7375009059906006, + "learning_rate": 0.0001769627630868861, + "loss": 3.2039, + "step": 65450 + }, + { + "epoch": 7.061994609164421, + "grad_norm": 0.7771769762039185, + "learning_rate": 0.00017663896384241767, + "loss": 3.215, + "step": 65500 + }, + { + "epoch": 7.067385444743936, + "grad_norm": 0.8169140219688416, + "learning_rate": 0.00017631516459794925, + "loss": 3.2009, + "step": 65550 + }, + { + "epoch": 7.07277628032345, + "grad_norm": 0.7878122329711914, + "learning_rate": 0.00017599136535348083, + "loss": 3.1953, + "step": 65600 + }, + { + "epoch": 7.078167115902965, + "grad_norm": 0.7984527349472046, + "learning_rate": 0.0001756675661090124, + "loss": 3.2114, + "step": 65650 + }, + { + "epoch": 7.083557951482479, + "grad_norm": 0.7757741808891296, + "learning_rate": 0.00017534376686454398, + "loss": 3.2395, + "step": 65700 + }, + { + "epoch": 7.0889487870619945, + "grad_norm": 0.7992537617683411, + "learning_rate": 0.00017501996762007556, + "loss": 3.2246, + "step": 65750 + }, + { + "epoch": 7.09433962264151, + "grad_norm": 0.7660715579986572, + "learning_rate": 0.00017469616837560709, + "loss": 3.2147, + "step": 65800 + }, + { + "epoch": 7.099730458221024, + "grad_norm": 0.7683412432670593, + "learning_rate": 0.00017437236913113866, + "loss": 3.2256, + "step": 65850 + }, + { + "epoch": 7.105121293800539, + "grad_norm": 0.7562675476074219, + "learning_rate": 0.00017404856988667024, + "loss": 3.2372, + "step": 65900 + }, + { + "epoch": 7.110512129380054, + "grad_norm": 0.7684675455093384, + "learning_rate": 0.00017372477064220182, + "loss": 3.2343, + "step": 65950 + }, + { + "epoch": 7.115902964959568, + "grad_norm": 0.7754034996032715, + "learning_rate": 0.0001734009713977334, + "loss": 3.2066, + "step": 66000 + }, + { + "epoch": 7.115902964959568, + "eval_accuracy": 0.3872903936396338, + "eval_loss": 3.3606462478637695, + "eval_runtime": 145.4852, + "eval_samples_per_second": 123.8, + "eval_steps_per_second": 7.74, + "step": 66000 + }, + { + "epoch": 7.121293800539084, + "grad_norm": 0.8015467524528503, + "learning_rate": 0.00017307717215326497, + "loss": 3.259, + "step": 66050 + }, + { + "epoch": 7.126684636118599, + "grad_norm": 0.8027785420417786, + "learning_rate": 0.00017275337290879655, + "loss": 3.215, + "step": 66100 + }, + { + "epoch": 7.132075471698113, + "grad_norm": 0.8227463364601135, + "learning_rate": 0.0001724295736643281, + "loss": 3.2174, + "step": 66150 + }, + { + "epoch": 7.137466307277628, + "grad_norm": 0.8033183217048645, + "learning_rate": 0.00017210577441985968, + "loss": 3.2155, + "step": 66200 + }, + { + "epoch": 7.142857142857143, + "grad_norm": 0.9108396768569946, + "learning_rate": 0.00017178197517539123, + "loss": 3.2324, + "step": 66250 + }, + { + "epoch": 7.1482479784366575, + "grad_norm": 0.7421971559524536, + "learning_rate": 0.0001714581759309228, + "loss": 3.2349, + "step": 66300 + }, + { + "epoch": 7.153638814016173, + "grad_norm": 0.7555287480354309, + "learning_rate": 0.00017113437668645439, + "loss": 3.233, + "step": 66350 + }, + { + "epoch": 7.159029649595688, + "grad_norm": 0.7612764835357666, + "learning_rate": 0.00017081057744198596, + "loss": 3.24, + "step": 66400 + }, + { + "epoch": 7.164420485175202, + "grad_norm": 0.8320484757423401, + "learning_rate": 0.00017048677819751751, + "loss": 3.2352, + "step": 66450 + }, + { + "epoch": 7.169811320754717, + "grad_norm": 0.7784168124198914, + "learning_rate": 0.0001701629789530491, + "loss": 3.223, + "step": 66500 + }, + { + "epoch": 7.175202156334231, + "grad_norm": 0.8041927814483643, + "learning_rate": 0.00016983917970858067, + "loss": 3.2248, + "step": 66550 + }, + { + "epoch": 7.180592991913747, + "grad_norm": 0.7509095072746277, + "learning_rate": 0.00016951538046411225, + "loss": 3.2273, + "step": 66600 + }, + { + "epoch": 7.185983827493262, + "grad_norm": 0.8264787197113037, + "learning_rate": 0.0001691915812196438, + "loss": 3.2287, + "step": 66650 + }, + { + "epoch": 7.191374663072776, + "grad_norm": 0.790759801864624, + "learning_rate": 0.00016886778197517538, + "loss": 3.2261, + "step": 66700 + }, + { + "epoch": 7.196765498652291, + "grad_norm": 0.8296477794647217, + "learning_rate": 0.00016854398273070693, + "loss": 3.2172, + "step": 66750 + }, + { + "epoch": 7.202156334231806, + "grad_norm": 0.8137305378913879, + "learning_rate": 0.0001682201834862385, + "loss": 3.2367, + "step": 66800 + }, + { + "epoch": 7.2075471698113205, + "grad_norm": 0.8298159837722778, + "learning_rate": 0.00016789638424177008, + "loss": 3.2433, + "step": 66850 + }, + { + "epoch": 7.212938005390836, + "grad_norm": 0.8120679259300232, + "learning_rate": 0.00016757258499730166, + "loss": 3.2214, + "step": 66900 + }, + { + "epoch": 7.218328840970351, + "grad_norm": 0.7779634594917297, + "learning_rate": 0.00016724878575283324, + "loss": 3.2443, + "step": 66950 + }, + { + "epoch": 7.223719676549865, + "grad_norm": 0.7775816321372986, + "learning_rate": 0.00016692498650836481, + "loss": 3.2313, + "step": 67000 + }, + { + "epoch": 7.223719676549865, + "eval_accuracy": 0.3881083325791012, + "eval_loss": 3.3569769859313965, + "eval_runtime": 145.8514, + "eval_samples_per_second": 123.489, + "eval_steps_per_second": 7.72, + "step": 67000 + }, + { + "epoch": 7.22911051212938, + "grad_norm": 0.9137212038040161, + "learning_rate": 0.0001666011872638964, + "loss": 3.2572, + "step": 67050 + }, + { + "epoch": 7.234501347708895, + "grad_norm": 0.7530747652053833, + "learning_rate": 0.00016627738801942792, + "loss": 3.2319, + "step": 67100 + }, + { + "epoch": 7.2398921832884096, + "grad_norm": 0.7923324704170227, + "learning_rate": 0.0001659535887749595, + "loss": 3.2455, + "step": 67150 + }, + { + "epoch": 7.245283018867925, + "grad_norm": 0.839113175868988, + "learning_rate": 0.00016562978953049107, + "loss": 3.2298, + "step": 67200 + }, + { + "epoch": 7.250673854447439, + "grad_norm": 0.8368660807609558, + "learning_rate": 0.00016530599028602265, + "loss": 3.2377, + "step": 67250 + }, + { + "epoch": 7.256064690026954, + "grad_norm": 0.8083794116973877, + "learning_rate": 0.00016498219104155423, + "loss": 3.2366, + "step": 67300 + }, + { + "epoch": 7.261455525606469, + "grad_norm": 0.7712308168411255, + "learning_rate": 0.0001646583917970858, + "loss": 3.2317, + "step": 67350 + }, + { + "epoch": 7.2668463611859835, + "grad_norm": 0.8151483535766602, + "learning_rate": 0.00016433459255261738, + "loss": 3.2363, + "step": 67400 + }, + { + "epoch": 7.272237196765499, + "grad_norm": 0.7958182692527771, + "learning_rate": 0.00016401079330814896, + "loss": 3.2325, + "step": 67450 + }, + { + "epoch": 7.277628032345014, + "grad_norm": 0.8089446425437927, + "learning_rate": 0.00016368699406368048, + "loss": 3.2437, + "step": 67500 + }, + { + "epoch": 7.283018867924528, + "grad_norm": 0.8065378069877625, + "learning_rate": 0.00016336319481921206, + "loss": 3.2462, + "step": 67550 + }, + { + "epoch": 7.288409703504043, + "grad_norm": 0.7744677662849426, + "learning_rate": 0.00016303939557474364, + "loss": 3.221, + "step": 67600 + }, + { + "epoch": 7.293800539083558, + "grad_norm": 0.7702655792236328, + "learning_rate": 0.00016271559633027522, + "loss": 3.2416, + "step": 67650 + }, + { + "epoch": 7.2991913746630726, + "grad_norm": 0.828003466129303, + "learning_rate": 0.00016239827307069617, + "loss": 3.2267, + "step": 67700 + }, + { + "epoch": 7.304582210242588, + "grad_norm": 0.7710825800895691, + "learning_rate": 0.00016207447382622775, + "loss": 3.2379, + "step": 67750 + }, + { + "epoch": 7.309973045822103, + "grad_norm": 0.8105592727661133, + "learning_rate": 0.00016175067458175932, + "loss": 3.2276, + "step": 67800 + }, + { + "epoch": 7.315363881401617, + "grad_norm": 0.7686548829078674, + "learning_rate": 0.00016142687533729085, + "loss": 3.2388, + "step": 67850 + }, + { + "epoch": 7.320754716981132, + "grad_norm": 0.8127673268318176, + "learning_rate": 0.00016110307609282242, + "loss": 3.2269, + "step": 67900 + }, + { + "epoch": 7.3261455525606465, + "grad_norm": 0.7651295065879822, + "learning_rate": 0.000160779276848354, + "loss": 3.2275, + "step": 67950 + }, + { + "epoch": 7.331536388140162, + "grad_norm": 0.8131924271583557, + "learning_rate": 0.00016045547760388558, + "loss": 3.2319, + "step": 68000 + }, + { + "epoch": 7.331536388140162, + "eval_accuracy": 0.3880722598203468, + "eval_loss": 3.353992462158203, + "eval_runtime": 145.7, + "eval_samples_per_second": 123.617, + "eval_steps_per_second": 7.728, + "step": 68000 + }, + { + "epoch": 7.336927223719677, + "grad_norm": 0.9014919400215149, + "learning_rate": 0.00016013167835941716, + "loss": 3.2378, + "step": 68050 + }, + { + "epoch": 7.342318059299191, + "grad_norm": 0.8048769235610962, + "learning_rate": 0.00015980787911494873, + "loss": 3.2657, + "step": 68100 + }, + { + "epoch": 7.347708894878706, + "grad_norm": 0.8662220239639282, + "learning_rate": 0.00015948407987048029, + "loss": 3.2301, + "step": 68150 + }, + { + "epoch": 7.353099730458221, + "grad_norm": 0.787700891494751, + "learning_rate": 0.00015916028062601186, + "loss": 3.2274, + "step": 68200 + }, + { + "epoch": 7.3584905660377355, + "grad_norm": 0.8394333720207214, + "learning_rate": 0.00015883648138154344, + "loss": 3.2574, + "step": 68250 + }, + { + "epoch": 7.363881401617251, + "grad_norm": 0.8151025772094727, + "learning_rate": 0.000158512682137075, + "loss": 3.2351, + "step": 68300 + }, + { + "epoch": 7.369272237196766, + "grad_norm": 0.7831388115882874, + "learning_rate": 0.00015818888289260657, + "loss": 3.2432, + "step": 68350 + }, + { + "epoch": 7.37466307277628, + "grad_norm": 0.853025496006012, + "learning_rate": 0.00015786508364813815, + "loss": 3.2455, + "step": 68400 + }, + { + "epoch": 7.380053908355795, + "grad_norm": 0.8126118779182434, + "learning_rate": 0.0001575412844036697, + "loss": 3.2292, + "step": 68450 + }, + { + "epoch": 7.38544474393531, + "grad_norm": 0.8116118311882019, + "learning_rate": 0.00015721748515920127, + "loss": 3.218, + "step": 68500 + }, + { + "epoch": 7.390835579514825, + "grad_norm": 0.7965927124023438, + "learning_rate": 0.00015689368591473285, + "loss": 3.2409, + "step": 68550 + }, + { + "epoch": 7.39622641509434, + "grad_norm": 0.8036773800849915, + "learning_rate": 0.00015656988667026443, + "loss": 3.2246, + "step": 68600 + }, + { + "epoch": 7.401617250673855, + "grad_norm": 0.8369459509849548, + "learning_rate": 0.000156246087425796, + "loss": 3.2465, + "step": 68650 + }, + { + "epoch": 7.407008086253369, + "grad_norm": 0.8160671591758728, + "learning_rate": 0.00015592228818132756, + "loss": 3.2222, + "step": 68700 + }, + { + "epoch": 7.412398921832884, + "grad_norm": 0.8571521043777466, + "learning_rate": 0.0001555984889368591, + "loss": 3.2302, + "step": 68750 + }, + { + "epoch": 7.4177897574123985, + "grad_norm": 0.8442217707633972, + "learning_rate": 0.0001552746896923907, + "loss": 3.2493, + "step": 68800 + }, + { + "epoch": 7.423180592991914, + "grad_norm": 0.7977373600006104, + "learning_rate": 0.00015495089044792226, + "loss": 3.2411, + "step": 68850 + }, + { + "epoch": 7.428571428571429, + "grad_norm": 0.8184266686439514, + "learning_rate": 0.00015462709120345384, + "loss": 3.2495, + "step": 68900 + }, + { + "epoch": 7.433962264150943, + "grad_norm": 0.8047189116477966, + "learning_rate": 0.00015430329195898542, + "loss": 3.2391, + "step": 68950 + }, + { + "epoch": 7.439353099730458, + "grad_norm": 0.7755230069160461, + "learning_rate": 0.000153979492714517, + "loss": 3.2282, + "step": 69000 + }, + { + "epoch": 7.439353099730458, + "eval_accuracy": 0.38815201104000263, + "eval_loss": 3.350517988204956, + "eval_runtime": 145.7673, + "eval_samples_per_second": 123.56, + "eval_steps_per_second": 7.725, + "step": 69000 + }, + { + "epoch": 7.444743935309973, + "grad_norm": 0.7657031416893005, + "learning_rate": 0.00015365569347004858, + "loss": 3.225, + "step": 69050 + }, + { + "epoch": 7.450134770889488, + "grad_norm": 0.8080745339393616, + "learning_rate": 0.00015333189422558015, + "loss": 3.2301, + "step": 69100 + }, + { + "epoch": 7.455525606469003, + "grad_norm": 0.8516858220100403, + "learning_rate": 0.00015300809498111168, + "loss": 3.2443, + "step": 69150 + }, + { + "epoch": 7.460916442048518, + "grad_norm": 0.9866870641708374, + "learning_rate": 0.00015268429573664325, + "loss": 3.2562, + "step": 69200 + }, + { + "epoch": 7.466307277628032, + "grad_norm": 0.8220759630203247, + "learning_rate": 0.00015236049649217483, + "loss": 3.2332, + "step": 69250 + }, + { + "epoch": 7.471698113207547, + "grad_norm": 0.9025027751922607, + "learning_rate": 0.0001520366972477064, + "loss": 3.2619, + "step": 69300 + }, + { + "epoch": 7.4770889487870615, + "grad_norm": 0.8095342516899109, + "learning_rate": 0.000151712898003238, + "loss": 3.2457, + "step": 69350 + }, + { + "epoch": 7.482479784366577, + "grad_norm": 0.8287063837051392, + "learning_rate": 0.00015138909875876956, + "loss": 3.2382, + "step": 69400 + }, + { + "epoch": 7.487870619946092, + "grad_norm": 0.8205540776252747, + "learning_rate": 0.00015106529951430114, + "loss": 3.2394, + "step": 69450 + }, + { + "epoch": 7.493261455525606, + "grad_norm": 0.8113540410995483, + "learning_rate": 0.0001507415002698327, + "loss": 3.252, + "step": 69500 + }, + { + "epoch": 7.498652291105121, + "grad_norm": 0.8273891806602478, + "learning_rate": 0.00015041770102536424, + "loss": 3.2314, + "step": 69550 + }, + { + "epoch": 7.504043126684636, + "grad_norm": 0.7961973547935486, + "learning_rate": 0.00015009390178089582, + "loss": 3.2401, + "step": 69600 + }, + { + "epoch": 7.509433962264151, + "grad_norm": 0.8073656558990479, + "learning_rate": 0.0001497701025364274, + "loss": 3.2553, + "step": 69650 + }, + { + "epoch": 7.514824797843666, + "grad_norm": 0.795110821723938, + "learning_rate": 0.00014944630329195898, + "loss": 3.2479, + "step": 69700 + }, + { + "epoch": 7.520215633423181, + "grad_norm": 0.790119469165802, + "learning_rate": 0.00014912250404749055, + "loss": 3.2681, + "step": 69750 + }, + { + "epoch": 7.525606469002695, + "grad_norm": 0.8171307444572449, + "learning_rate": 0.0001487987048030221, + "loss": 3.2537, + "step": 69800 + }, + { + "epoch": 7.53099730458221, + "grad_norm": 0.7953904271125793, + "learning_rate": 0.00014847490555855368, + "loss": 3.2338, + "step": 69850 + }, + { + "epoch": 7.536388140161725, + "grad_norm": 0.8385747671127319, + "learning_rate": 0.00014815110631408526, + "loss": 3.2212, + "step": 69900 + }, + { + "epoch": 7.54177897574124, + "grad_norm": 0.8413951396942139, + "learning_rate": 0.0001478273070696168, + "loss": 3.2573, + "step": 69950 + }, + { + "epoch": 7.547169811320755, + "grad_norm": 0.7891599535942078, + "learning_rate": 0.0001475035078251484, + "loss": 3.2386, + "step": 70000 + }, + { + "epoch": 7.547169811320755, + "eval_accuracy": 0.38888606995007724, + "eval_loss": 3.3455100059509277, + "eval_runtime": 145.5338, + "eval_samples_per_second": 123.758, + "eval_steps_per_second": 7.737, + "step": 70000 + }, + { + "epoch": 7.55256064690027, + "grad_norm": 0.7678188681602478, + "learning_rate": 0.00014717970858067997, + "loss": 3.2291, + "step": 70050 + }, + { + "epoch": 7.557951482479784, + "grad_norm": 0.8082351684570312, + "learning_rate": 0.00014685590933621154, + "loss": 3.2463, + "step": 70100 + }, + { + "epoch": 7.563342318059299, + "grad_norm": 0.7960216999053955, + "learning_rate": 0.0001465321100917431, + "loss": 3.2447, + "step": 70150 + }, + { + "epoch": 7.568733153638814, + "grad_norm": 0.8490812182426453, + "learning_rate": 0.00014620831084727467, + "loss": 3.238, + "step": 70200 + }, + { + "epoch": 7.574123989218329, + "grad_norm": 0.810519814491272, + "learning_rate": 0.00014588451160280625, + "loss": 3.249, + "step": 70250 + }, + { + "epoch": 7.579514824797844, + "grad_norm": 0.7496234178543091, + "learning_rate": 0.0001455607123583378, + "loss": 3.2416, + "step": 70300 + }, + { + "epoch": 7.584905660377358, + "grad_norm": 0.8409221172332764, + "learning_rate": 0.00014523691311386938, + "loss": 3.2436, + "step": 70350 + }, + { + "epoch": 7.590296495956873, + "grad_norm": 0.7896668910980225, + "learning_rate": 0.00014491311386940096, + "loss": 3.2539, + "step": 70400 + }, + { + "epoch": 7.595687331536388, + "grad_norm": 0.8397171497344971, + "learning_rate": 0.00014458931462493253, + "loss": 3.2556, + "step": 70450 + }, + { + "epoch": 7.601078167115903, + "grad_norm": 0.7945877909660339, + "learning_rate": 0.00014426551538046408, + "loss": 3.2471, + "step": 70500 + }, + { + "epoch": 7.606469002695418, + "grad_norm": 0.7988942861557007, + "learning_rate": 0.00014394171613599566, + "loss": 3.2303, + "step": 70550 + }, + { + "epoch": 7.611859838274933, + "grad_norm": 0.7489826083183289, + "learning_rate": 0.00014361791689152724, + "loss": 3.2461, + "step": 70600 + }, + { + "epoch": 7.617250673854447, + "grad_norm": 0.7894483208656311, + "learning_rate": 0.00014329411764705882, + "loss": 3.2269, + "step": 70650 + }, + { + "epoch": 7.622641509433962, + "grad_norm": 0.7881432771682739, + "learning_rate": 0.0001429703184025904, + "loss": 3.2276, + "step": 70700 + }, + { + "epoch": 7.628032345013477, + "grad_norm": 0.7781510353088379, + "learning_rate": 0.00014264651915812194, + "loss": 3.2452, + "step": 70750 + }, + { + "epoch": 7.633423180592992, + "grad_norm": 0.7770166397094727, + "learning_rate": 0.00014232271991365352, + "loss": 3.2514, + "step": 70800 + }, + { + "epoch": 7.638814016172507, + "grad_norm": 0.788841724395752, + "learning_rate": 0.0001419989206691851, + "loss": 3.2447, + "step": 70850 + }, + { + "epoch": 7.644204851752022, + "grad_norm": 0.8239420652389526, + "learning_rate": 0.00014167512142471668, + "loss": 3.2494, + "step": 70900 + }, + { + "epoch": 7.649595687331536, + "grad_norm": 0.9228202700614929, + "learning_rate": 0.00014135132218024823, + "loss": 3.2437, + "step": 70950 + }, + { + "epoch": 7.654986522911051, + "grad_norm": 0.7943241596221924, + "learning_rate": 0.0001410275229357798, + "loss": 3.233, + "step": 71000 + }, + { + "epoch": 7.654986522911051, + "eval_accuracy": 0.38909696520532516, + "eval_loss": 3.342852830886841, + "eval_runtime": 145.7317, + "eval_samples_per_second": 123.59, + "eval_steps_per_second": 7.727, + "step": 71000 + }, + { + "epoch": 7.660377358490566, + "grad_norm": 0.8611652851104736, + "learning_rate": 0.00014070372369131138, + "loss": 3.255, + "step": 71050 + }, + { + "epoch": 7.665768194070081, + "grad_norm": 0.8180993795394897, + "learning_rate": 0.00014037992444684296, + "loss": 3.2475, + "step": 71100 + }, + { + "epoch": 7.671159029649596, + "grad_norm": 0.8241807818412781, + "learning_rate": 0.0001400561252023745, + "loss": 3.2518, + "step": 71150 + }, + { + "epoch": 7.67654986522911, + "grad_norm": 0.8034350872039795, + "learning_rate": 0.0001397323259579061, + "loss": 3.2353, + "step": 71200 + }, + { + "epoch": 7.681940700808625, + "grad_norm": 0.796752393245697, + "learning_rate": 0.00013940852671343767, + "loss": 3.234, + "step": 71250 + }, + { + "epoch": 7.6873315363881405, + "grad_norm": 0.7918026447296143, + "learning_rate": 0.00013908472746896924, + "loss": 3.2394, + "step": 71300 + }, + { + "epoch": 7.692722371967655, + "grad_norm": 0.8091316819190979, + "learning_rate": 0.0001387609282245008, + "loss": 3.2258, + "step": 71350 + }, + { + "epoch": 7.69811320754717, + "grad_norm": 0.7816873788833618, + "learning_rate": 0.00013843712898003237, + "loss": 3.2449, + "step": 71400 + }, + { + "epoch": 7.703504043126685, + "grad_norm": 0.7878933548927307, + "learning_rate": 0.00013811332973556395, + "loss": 3.2466, + "step": 71450 + }, + { + "epoch": 7.708894878706199, + "grad_norm": 0.7926165461540222, + "learning_rate": 0.0001377895304910955, + "loss": 3.2307, + "step": 71500 + }, + { + "epoch": 7.714285714285714, + "grad_norm": 0.8380984663963318, + "learning_rate": 0.00013746573124662708, + "loss": 3.2601, + "step": 71550 + }, + { + "epoch": 7.719676549865229, + "grad_norm": 0.80472731590271, + "learning_rate": 0.00013714193200215866, + "loss": 3.2394, + "step": 71600 + }, + { + "epoch": 7.725067385444744, + "grad_norm": 0.8318880200386047, + "learning_rate": 0.0001368181327576902, + "loss": 3.2225, + "step": 71650 + }, + { + "epoch": 7.730458221024259, + "grad_norm": 0.8377485275268555, + "learning_rate": 0.00013650080949811116, + "loss": 3.2499, + "step": 71700 + }, + { + "epoch": 7.735849056603773, + "grad_norm": 0.8369395136833191, + "learning_rate": 0.00013617701025364274, + "loss": 3.2494, + "step": 71750 + }, + { + "epoch": 7.741239892183288, + "grad_norm": 0.8334224224090576, + "learning_rate": 0.0001358532110091743, + "loss": 3.2524, + "step": 71800 + }, + { + "epoch": 7.7466307277628035, + "grad_norm": 0.8204824924468994, + "learning_rate": 0.00013553588774959524, + "loss": 3.2437, + "step": 71850 + }, + { + "epoch": 7.752021563342318, + "grad_norm": 0.8162007927894592, + "learning_rate": 0.00013521208850512682, + "loss": 3.213, + "step": 71900 + }, + { + "epoch": 7.757412398921833, + "grad_norm": 0.8048626780509949, + "learning_rate": 0.0001348882892606584, + "loss": 3.2554, + "step": 71950 + }, + { + "epoch": 7.762803234501348, + "grad_norm": 0.8684512972831726, + "learning_rate": 0.00013456449001618995, + "loss": 3.2386, + "step": 72000 + }, + { + "epoch": 7.762803234501348, + "eval_accuracy": 0.389787562960274, + "eval_loss": 3.3377344608306885, + "eval_runtime": 146.2901, + "eval_samples_per_second": 123.118, + "eval_steps_per_second": 7.697, + "step": 72000 + }, + { + "epoch": 7.768194070080862, + "grad_norm": 0.8167480230331421, + "learning_rate": 0.00013424069077172152, + "loss": 3.2601, + "step": 72050 + }, + { + "epoch": 7.773584905660377, + "grad_norm": 0.8325658440589905, + "learning_rate": 0.0001339168915272531, + "loss": 3.2449, + "step": 72100 + }, + { + "epoch": 7.7789757412398925, + "grad_norm": 0.8947717547416687, + "learning_rate": 0.00013359309228278465, + "loss": 3.2361, + "step": 72150 + }, + { + "epoch": 7.784366576819407, + "grad_norm": 0.7974467873573303, + "learning_rate": 0.00013326929303831623, + "loss": 3.2321, + "step": 72200 + }, + { + "epoch": 7.789757412398922, + "grad_norm": 0.7896796464920044, + "learning_rate": 0.0001329454937938478, + "loss": 3.2473, + "step": 72250 + }, + { + "epoch": 7.795148247978437, + "grad_norm": 0.8590373396873474, + "learning_rate": 0.00013262169454937936, + "loss": 3.2422, + "step": 72300 + }, + { + "epoch": 7.800539083557951, + "grad_norm": 0.8200933337211609, + "learning_rate": 0.00013229789530491093, + "loss": 3.2284, + "step": 72350 + }, + { + "epoch": 7.8059299191374665, + "grad_norm": 0.8711622953414917, + "learning_rate": 0.0001319740960604425, + "loss": 3.2369, + "step": 72400 + }, + { + "epoch": 7.811320754716981, + "grad_norm": 0.7932628393173218, + "learning_rate": 0.0001316502968159741, + "loss": 3.2496, + "step": 72450 + }, + { + "epoch": 7.816711590296496, + "grad_norm": 0.8283679485321045, + "learning_rate": 0.00013132649757150564, + "loss": 3.2394, + "step": 72500 + }, + { + "epoch": 7.822102425876011, + "grad_norm": 0.8596921563148499, + "learning_rate": 0.00013100269832703722, + "loss": 3.2328, + "step": 72550 + }, + { + "epoch": 7.827493261455525, + "grad_norm": 0.8052673935890198, + "learning_rate": 0.0001306788990825688, + "loss": 3.226, + "step": 72600 + }, + { + "epoch": 7.83288409703504, + "grad_norm": 0.8220215439796448, + "learning_rate": 0.00013035509983810037, + "loss": 3.2267, + "step": 72650 + }, + { + "epoch": 7.8382749326145555, + "grad_norm": 0.8143494129180908, + "learning_rate": 0.00013003130059363192, + "loss": 3.2501, + "step": 72700 + }, + { + "epoch": 7.84366576819407, + "grad_norm": 0.8493731617927551, + "learning_rate": 0.0001297075013491635, + "loss": 3.2412, + "step": 72750 + }, + { + "epoch": 7.849056603773585, + "grad_norm": 0.8398842215538025, + "learning_rate": 0.00012938370210469508, + "loss": 3.2191, + "step": 72800 + }, + { + "epoch": 7.8544474393531, + "grad_norm": 0.8476974368095398, + "learning_rate": 0.00012905990286022666, + "loss": 3.2391, + "step": 72850 + }, + { + "epoch": 7.859838274932614, + "grad_norm": 0.8712428212165833, + "learning_rate": 0.0001287361036157582, + "loss": 3.238, + "step": 72900 + }, + { + "epoch": 7.8652291105121295, + "grad_norm": 0.8013792634010315, + "learning_rate": 0.00012841230437128979, + "loss": 3.2479, + "step": 72950 + }, + { + "epoch": 7.870619946091644, + "grad_norm": 0.8213805556297302, + "learning_rate": 0.00012808850512682136, + "loss": 3.247, + "step": 73000 + }, + { + "epoch": 7.870619946091644, + "eval_accuracy": 0.38990479942622586, + "eval_loss": 3.335577964782715, + "eval_runtime": 144.3715, + "eval_samples_per_second": 124.755, + "eval_steps_per_second": 7.799, + "step": 73000 + }, + { + "epoch": 7.876010781671159, + "grad_norm": 0.8413445353507996, + "learning_rate": 0.00012776470588235294, + "loss": 3.2344, + "step": 73050 + }, + { + "epoch": 7.881401617250674, + "grad_norm": 0.8258917927742004, + "learning_rate": 0.0001274409066378845, + "loss": 3.2385, + "step": 73100 + }, + { + "epoch": 7.886792452830189, + "grad_norm": 0.8316524028778076, + "learning_rate": 0.00012711710739341607, + "loss": 3.2509, + "step": 73150 + }, + { + "epoch": 7.892183288409703, + "grad_norm": 0.8293790221214294, + "learning_rate": 0.00012679330814894765, + "loss": 3.2158, + "step": 73200 + }, + { + "epoch": 7.8975741239892185, + "grad_norm": 0.8351441025733948, + "learning_rate": 0.00012646950890447922, + "loss": 3.2404, + "step": 73250 + }, + { + "epoch": 7.902964959568733, + "grad_norm": 0.8133177161216736, + "learning_rate": 0.00012614570966001077, + "loss": 3.2332, + "step": 73300 + }, + { + "epoch": 7.908355795148248, + "grad_norm": 0.8715577125549316, + "learning_rate": 0.00012582191041554235, + "loss": 3.2674, + "step": 73350 + }, + { + "epoch": 7.913746630727763, + "grad_norm": 0.8071417212486267, + "learning_rate": 0.00012549811117107393, + "loss": 3.2542, + "step": 73400 + }, + { + "epoch": 7.919137466307277, + "grad_norm": 0.811610758304596, + "learning_rate": 0.0001251743119266055, + "loss": 3.2546, + "step": 73450 + }, + { + "epoch": 7.9245283018867925, + "grad_norm": 0.8281325101852417, + "learning_rate": 0.00012485051268213706, + "loss": 3.2587, + "step": 73500 + }, + { + "epoch": 7.929919137466308, + "grad_norm": 0.8137043714523315, + "learning_rate": 0.00012452671343766864, + "loss": 3.2316, + "step": 73550 + }, + { + "epoch": 7.935309973045822, + "grad_norm": 0.8106021285057068, + "learning_rate": 0.00012420291419320021, + "loss": 3.2544, + "step": 73600 + }, + { + "epoch": 7.940700808625337, + "grad_norm": 0.8555049896240234, + "learning_rate": 0.0001238791149487318, + "loss": 3.2407, + "step": 73650 + }, + { + "epoch": 7.946091644204852, + "grad_norm": 0.8347945809364319, + "learning_rate": 0.00012355531570426334, + "loss": 3.2317, + "step": 73700 + }, + { + "epoch": 7.951482479784366, + "grad_norm": 0.8815454244613647, + "learning_rate": 0.00012323151645979492, + "loss": 3.2408, + "step": 73750 + }, + { + "epoch": 7.9568733153638815, + "grad_norm": 0.8233853578567505, + "learning_rate": 0.0001229077172153265, + "loss": 3.237, + "step": 73800 + }, + { + "epoch": 7.962264150943396, + "grad_norm": 0.7983092665672302, + "learning_rate": 0.00012258391797085805, + "loss": 3.2377, + "step": 73850 + }, + { + "epoch": 7.967654986522911, + "grad_norm": 0.834989607334137, + "learning_rate": 0.00012226011872638963, + "loss": 3.2338, + "step": 73900 + }, + { + "epoch": 7.973045822102426, + "grad_norm": 0.8054497241973877, + "learning_rate": 0.00012193631948192119, + "loss": 3.2545, + "step": 73950 + }, + { + "epoch": 7.97843665768194, + "grad_norm": 0.8481306433677673, + "learning_rate": 0.00012161899622234214, + "loss": 3.2571, + "step": 74000 + }, + { + "epoch": 7.97843665768194, + "eval_accuracy": 0.3907868435695038, + "eval_loss": 3.3311500549316406, + "eval_runtime": 144.658, + "eval_samples_per_second": 124.507, + "eval_steps_per_second": 7.784, + "step": 74000 + }, + { + "epoch": 7.9838274932614555, + "grad_norm": 0.8332591652870178, + "learning_rate": 0.00012129519697787372, + "loss": 3.2535, + "step": 74050 + }, + { + "epoch": 7.989218328840971, + "grad_norm": 0.861570417881012, + "learning_rate": 0.00012097139773340527, + "loss": 3.2489, + "step": 74100 + }, + { + "epoch": 7.994609164420485, + "grad_norm": 0.8170042037963867, + "learning_rate": 0.00012064759848893685, + "loss": 3.2502, + "step": 74150 + }, + { + "epoch": 8.0, + "grad_norm": 1.6789113283157349, + "learning_rate": 0.00012032379924446843, + "loss": 3.2217, + "step": 74200 + }, + { + "epoch": 8.005390835579515, + "grad_norm": 0.8028563261032104, + "learning_rate": 0.00011999999999999999, + "loss": 3.1772, + "step": 74250 + }, + { + "epoch": 8.01078167115903, + "grad_norm": 0.8054965734481812, + "learning_rate": 0.00011967620075553155, + "loss": 3.1594, + "step": 74300 + }, + { + "epoch": 8.016172506738544, + "grad_norm": 0.8452708125114441, + "learning_rate": 0.00011935240151106313, + "loss": 3.1603, + "step": 74350 + }, + { + "epoch": 8.021563342318059, + "grad_norm": 0.8379788398742676, + "learning_rate": 0.00011902860226659471, + "loss": 3.1634, + "step": 74400 + }, + { + "epoch": 8.026954177897574, + "grad_norm": 0.8776307702064514, + "learning_rate": 0.00011870480302212627, + "loss": 3.1622, + "step": 74450 + }, + { + "epoch": 8.032345013477089, + "grad_norm": 0.8483014106750488, + "learning_rate": 0.00011838100377765784, + "loss": 3.1671, + "step": 74500 + }, + { + "epoch": 8.037735849056604, + "grad_norm": 0.8685150742530823, + "learning_rate": 0.00011805720453318941, + "loss": 3.1845, + "step": 74550 + }, + { + "epoch": 8.04312668463612, + "grad_norm": 0.8260387778282166, + "learning_rate": 0.00011773340528872098, + "loss": 3.18, + "step": 74600 + }, + { + "epoch": 8.048517520215633, + "grad_norm": 0.8391966819763184, + "learning_rate": 0.00011740960604425256, + "loss": 3.1739, + "step": 74650 + }, + { + "epoch": 8.053908355795148, + "grad_norm": 0.8282108902931213, + "learning_rate": 0.00011708580679978412, + "loss": 3.1652, + "step": 74700 + }, + { + "epoch": 8.059299191374663, + "grad_norm": 0.8193286061286926, + "learning_rate": 0.00011676200755531568, + "loss": 3.1945, + "step": 74750 + }, + { + "epoch": 8.064690026954178, + "grad_norm": 0.8471682667732239, + "learning_rate": 0.00011643820831084726, + "loss": 3.1715, + "step": 74800 + }, + { + "epoch": 8.070080862533693, + "grad_norm": 0.8014234304428101, + "learning_rate": 0.00011611440906637884, + "loss": 3.1752, + "step": 74850 + }, + { + "epoch": 8.075471698113208, + "grad_norm": 0.840215802192688, + "learning_rate": 0.00011579060982191042, + "loss": 3.1704, + "step": 74900 + }, + { + "epoch": 8.080862533692722, + "grad_norm": 0.8199812173843384, + "learning_rate": 0.00011546681057744197, + "loss": 3.1716, + "step": 74950 + }, + { + "epoch": 8.086253369272237, + "grad_norm": 0.810865581035614, + "learning_rate": 0.00011514301133297355, + "loss": 3.1695, + "step": 75000 + }, + { + "epoch": 8.086253369272237, + "eval_accuracy": 0.39048239817784763, + "eval_loss": 3.3377249240875244, + "eval_runtime": 144.4091, + "eval_samples_per_second": 124.722, + "eval_steps_per_second": 7.797, + "step": 75000 + }, + { + "epoch": 8.091644204851752, + "grad_norm": 0.8431777954101562, + "learning_rate": 0.00011481921208850512, + "loss": 3.1765, + "step": 75050 + }, + { + "epoch": 8.097035040431267, + "grad_norm": 0.8121163249015808, + "learning_rate": 0.00011449541284403669, + "loss": 3.1908, + "step": 75100 + }, + { + "epoch": 8.102425876010782, + "grad_norm": 0.8409184217453003, + "learning_rate": 0.00011417161359956825, + "loss": 3.1766, + "step": 75150 + }, + { + "epoch": 8.107816711590296, + "grad_norm": 0.8380523920059204, + "learning_rate": 0.00011384781435509983, + "loss": 3.1783, + "step": 75200 + }, + { + "epoch": 8.11320754716981, + "grad_norm": 0.8611305356025696, + "learning_rate": 0.0001135240151106314, + "loss": 3.1792, + "step": 75250 + }, + { + "epoch": 8.118598382749326, + "grad_norm": 0.8434821963310242, + "learning_rate": 0.00011320021586616297, + "loss": 3.1825, + "step": 75300 + }, + { + "epoch": 8.123989218328841, + "grad_norm": 0.8211022019386292, + "learning_rate": 0.00011287641662169454, + "loss": 3.1659, + "step": 75350 + }, + { + "epoch": 8.129380053908356, + "grad_norm": 0.8678478002548218, + "learning_rate": 0.0001125526173772261, + "loss": 3.1744, + "step": 75400 + }, + { + "epoch": 8.134770889487871, + "grad_norm": 0.825543224811554, + "learning_rate": 0.00011222881813275768, + "loss": 3.1756, + "step": 75450 + }, + { + "epoch": 8.140161725067385, + "grad_norm": 0.8677042722702026, + "learning_rate": 0.00011190501888828925, + "loss": 3.1792, + "step": 75500 + }, + { + "epoch": 8.1455525606469, + "grad_norm": 0.8366581201553345, + "learning_rate": 0.00011158121964382083, + "loss": 3.1813, + "step": 75550 + }, + { + "epoch": 8.150943396226415, + "grad_norm": 0.84686678647995, + "learning_rate": 0.00011125742039935238, + "loss": 3.1831, + "step": 75600 + }, + { + "epoch": 8.15633423180593, + "grad_norm": 0.8925803303718567, + "learning_rate": 0.00011093362115488396, + "loss": 3.1653, + "step": 75650 + }, + { + "epoch": 8.161725067385445, + "grad_norm": 0.821288526058197, + "learning_rate": 0.00011060982191041554, + "loss": 3.1753, + "step": 75700 + }, + { + "epoch": 8.167115902964959, + "grad_norm": 0.8067049980163574, + "learning_rate": 0.00011028602266594712, + "loss": 3.1959, + "step": 75750 + }, + { + "epoch": 8.172506738544474, + "grad_norm": 0.8495302200317383, + "learning_rate": 0.00010996222342147867, + "loss": 3.2006, + "step": 75800 + }, + { + "epoch": 8.177897574123989, + "grad_norm": 0.8403761982917786, + "learning_rate": 0.00010963842417701024, + "loss": 3.1888, + "step": 75850 + }, + { + "epoch": 8.183288409703504, + "grad_norm": 0.8572573661804199, + "learning_rate": 0.00010931462493254182, + "loss": 3.1722, + "step": 75900 + }, + { + "epoch": 8.18867924528302, + "grad_norm": 0.8850594758987427, + "learning_rate": 0.00010899082568807339, + "loss": 3.1801, + "step": 75950 + }, + { + "epoch": 8.194070080862534, + "grad_norm": 0.8388485908508301, + "learning_rate": 0.00010866702644360495, + "loss": 3.1903, + "step": 76000 + }, + { + "epoch": 8.194070080862534, + "eval_accuracy": 0.39056584359568913, + "eval_loss": 3.335054636001587, + "eval_runtime": 144.6208, + "eval_samples_per_second": 124.539, + "eval_steps_per_second": 7.786, + "step": 76000 + }, + { + "epoch": 8.199460916442048, + "grad_norm": 0.8369682431221008, + "learning_rate": 0.00010834322719913653, + "loss": 3.1824, + "step": 76050 + }, + { + "epoch": 8.204851752021563, + "grad_norm": 0.8276783227920532, + "learning_rate": 0.00010801942795466809, + "loss": 3.1894, + "step": 76100 + }, + { + "epoch": 8.210242587601078, + "grad_norm": 0.84661865234375, + "learning_rate": 0.00010769562871019967, + "loss": 3.1976, + "step": 76150 + }, + { + "epoch": 8.215633423180593, + "grad_norm": 0.8589726090431213, + "learning_rate": 0.00010737182946573123, + "loss": 3.1923, + "step": 76200 + }, + { + "epoch": 8.221024258760108, + "grad_norm": 0.8558250069618225, + "learning_rate": 0.0001070480302212628, + "loss": 3.1844, + "step": 76250 + }, + { + "epoch": 8.226415094339623, + "grad_norm": 0.8655318021774292, + "learning_rate": 0.00010673070696168375, + "loss": 3.183, + "step": 76300 + }, + { + "epoch": 8.231805929919137, + "grad_norm": 0.8613353371620178, + "learning_rate": 0.00010640690771721531, + "loss": 3.1881, + "step": 76350 + }, + { + "epoch": 8.237196765498652, + "grad_norm": 0.8411716818809509, + "learning_rate": 0.00010608310847274689, + "loss": 3.1974, + "step": 76400 + }, + { + "epoch": 8.242587601078167, + "grad_norm": 0.9113624691963196, + "learning_rate": 0.00010575930922827846, + "loss": 3.1991, + "step": 76450 + }, + { + "epoch": 8.247978436657682, + "grad_norm": 0.8439015746116638, + "learning_rate": 0.00010543550998381003, + "loss": 3.1769, + "step": 76500 + }, + { + "epoch": 8.253369272237197, + "grad_norm": 0.8146746158599854, + "learning_rate": 0.0001051117107393416, + "loss": 3.176, + "step": 76550 + }, + { + "epoch": 8.25876010781671, + "grad_norm": 0.8571010828018188, + "learning_rate": 0.00010478791149487316, + "loss": 3.1831, + "step": 76600 + }, + { + "epoch": 8.264150943396226, + "grad_norm": 0.8149386644363403, + "learning_rate": 0.00010446411225040474, + "loss": 3.1922, + "step": 76650 + }, + { + "epoch": 8.269541778975741, + "grad_norm": 0.8525885343551636, + "learning_rate": 0.00010414031300593632, + "loss": 3.1834, + "step": 76700 + }, + { + "epoch": 8.274932614555256, + "grad_norm": 0.8435251712799072, + "learning_rate": 0.00010381651376146787, + "loss": 3.1785, + "step": 76750 + }, + { + "epoch": 8.280323450134771, + "grad_norm": 0.8805217146873474, + "learning_rate": 0.00010349271451699945, + "loss": 3.1966, + "step": 76800 + }, + { + "epoch": 8.285714285714286, + "grad_norm": 0.8451163172721863, + "learning_rate": 0.00010316891527253102, + "loss": 3.1841, + "step": 76850 + }, + { + "epoch": 8.2911051212938, + "grad_norm": 0.857768714427948, + "learning_rate": 0.0001028451160280626, + "loss": 3.1886, + "step": 76900 + }, + { + "epoch": 8.296495956873315, + "grad_norm": 0.7757983207702637, + "learning_rate": 0.00010252131678359416, + "loss": 3.1946, + "step": 76950 + }, + { + "epoch": 8.30188679245283, + "grad_norm": 0.8731544613838196, + "learning_rate": 0.00010219751753912573, + "loss": 3.1892, + "step": 77000 + }, + { + "epoch": 8.30188679245283, + "eval_accuracy": 0.3908692024584672, + "eval_loss": 3.3317456245422363, + "eval_runtime": 144.5864, + "eval_samples_per_second": 124.569, + "eval_steps_per_second": 7.788, + "step": 77000 + }, + { + "epoch": 8.307277628032345, + "grad_norm": 0.8421865701675415, + "learning_rate": 0.0001018737182946573, + "loss": 3.204, + "step": 77050 + }, + { + "epoch": 8.31266846361186, + "grad_norm": 0.8552886843681335, + "learning_rate": 0.00010154991905018887, + "loss": 3.1945, + "step": 77100 + }, + { + "epoch": 8.318059299191376, + "grad_norm": 0.8377566337585449, + "learning_rate": 0.00010122611980572045, + "loss": 3.1763, + "step": 77150 + }, + { + "epoch": 8.323450134770889, + "grad_norm": 0.8450587391853333, + "learning_rate": 0.00010090232056125201, + "loss": 3.1859, + "step": 77200 + }, + { + "epoch": 8.328840970350404, + "grad_norm": 0.8754865527153015, + "learning_rate": 0.00010057852131678359, + "loss": 3.1952, + "step": 77250 + }, + { + "epoch": 8.33423180592992, + "grad_norm": 0.864917516708374, + "learning_rate": 0.00010025472207231515, + "loss": 3.1895, + "step": 77300 + }, + { + "epoch": 8.339622641509434, + "grad_norm": 0.8625168800354004, + "learning_rate": 9.993092282784673e-05, + "loss": 3.1927, + "step": 77350 + }, + { + "epoch": 8.34501347708895, + "grad_norm": 0.8321080803871155, + "learning_rate": 9.96071235833783e-05, + "loss": 3.1905, + "step": 77400 + }, + { + "epoch": 8.350404312668463, + "grad_norm": 0.8598225116729736, + "learning_rate": 9.928332433890986e-05, + "loss": 3.1889, + "step": 77450 + }, + { + "epoch": 8.355795148247978, + "grad_norm": 0.8627040386199951, + "learning_rate": 9.895952509444144e-05, + "loss": 3.206, + "step": 77500 + }, + { + "epoch": 8.361185983827493, + "grad_norm": 0.8766219019889832, + "learning_rate": 9.863572584997302e-05, + "loss": 3.1915, + "step": 77550 + }, + { + "epoch": 8.366576819407008, + "grad_norm": 0.8476821184158325, + "learning_rate": 9.831192660550457e-05, + "loss": 3.1989, + "step": 77600 + }, + { + "epoch": 8.371967654986523, + "grad_norm": 0.8090409636497498, + "learning_rate": 9.798812736103614e-05, + "loss": 3.181, + "step": 77650 + }, + { + "epoch": 8.377358490566039, + "grad_norm": 0.8444557189941406, + "learning_rate": 9.766432811656772e-05, + "loss": 3.1876, + "step": 77700 + }, + { + "epoch": 8.382749326145552, + "grad_norm": 0.8485190272331238, + "learning_rate": 9.73405288720993e-05, + "loss": 3.1766, + "step": 77750 + }, + { + "epoch": 8.388140161725067, + "grad_norm": 0.8302055597305298, + "learning_rate": 9.701672962763086e-05, + "loss": 3.1932, + "step": 77800 + }, + { + "epoch": 8.393530997304582, + "grad_norm": 0.8414790630340576, + "learning_rate": 9.669293038316243e-05, + "loss": 3.1906, + "step": 77850 + }, + { + "epoch": 8.398921832884097, + "grad_norm": 0.8987350463867188, + "learning_rate": 9.6369131138694e-05, + "loss": 3.1754, + "step": 77900 + }, + { + "epoch": 8.404312668463612, + "grad_norm": 0.8369892239570618, + "learning_rate": 9.604533189422557e-05, + "loss": 3.1942, + "step": 77950 + }, + { + "epoch": 8.409703504043126, + "grad_norm": 0.8732051253318787, + "learning_rate": 9.572153264975715e-05, + "loss": 3.1795, + "step": 78000 + }, + { + "epoch": 8.409703504043126, + "eval_accuracy": 0.3911585450987171, + "eval_loss": 3.3292782306671143, + "eval_runtime": 144.8275, + "eval_samples_per_second": 124.362, + "eval_steps_per_second": 7.775, + "step": 78000 + }, + { + "epoch": 8.415094339622641, + "grad_norm": 0.809229850769043, + "learning_rate": 9.539773340528871e-05, + "loss": 3.2037, + "step": 78050 + }, + { + "epoch": 8.420485175202156, + "grad_norm": 0.9127547144889832, + "learning_rate": 9.507393416082027e-05, + "loss": 3.1848, + "step": 78100 + }, + { + "epoch": 8.425876010781671, + "grad_norm": 0.8915658593177795, + "learning_rate": 9.475013491635185e-05, + "loss": 3.186, + "step": 78150 + }, + { + "epoch": 8.431266846361186, + "grad_norm": 0.8642625212669373, + "learning_rate": 9.442633567188343e-05, + "loss": 3.1958, + "step": 78200 + }, + { + "epoch": 8.436657681940702, + "grad_norm": 0.8737843036651611, + "learning_rate": 9.410253642741498e-05, + "loss": 3.2002, + "step": 78250 + }, + { + "epoch": 8.442048517520215, + "grad_norm": 0.8277490735054016, + "learning_rate": 9.377873718294656e-05, + "loss": 3.1863, + "step": 78300 + }, + { + "epoch": 8.44743935309973, + "grad_norm": 0.8157387971878052, + "learning_rate": 9.345493793847814e-05, + "loss": 3.2046, + "step": 78350 + }, + { + "epoch": 8.452830188679245, + "grad_norm": 0.8451686501502991, + "learning_rate": 9.313113869400971e-05, + "loss": 3.1796, + "step": 78400 + }, + { + "epoch": 8.45822102425876, + "grad_norm": 0.9138479828834534, + "learning_rate": 9.280733944954126e-05, + "loss": 3.1717, + "step": 78450 + }, + { + "epoch": 8.463611859838275, + "grad_norm": 0.8984581828117371, + "learning_rate": 9.248354020507284e-05, + "loss": 3.197, + "step": 78500 + }, + { + "epoch": 8.46900269541779, + "grad_norm": 0.8548042178153992, + "learning_rate": 9.215974096060442e-05, + "loss": 3.1831, + "step": 78550 + }, + { + "epoch": 8.474393530997304, + "grad_norm": 0.8356130123138428, + "learning_rate": 9.1835941716136e-05, + "loss": 3.1798, + "step": 78600 + }, + { + "epoch": 8.479784366576819, + "grad_norm": 0.8204013705253601, + "learning_rate": 9.151214247166756e-05, + "loss": 3.1918, + "step": 78650 + }, + { + "epoch": 8.485175202156334, + "grad_norm": 0.8625116944313049, + "learning_rate": 9.118834322719913e-05, + "loss": 3.2035, + "step": 78700 + }, + { + "epoch": 8.49056603773585, + "grad_norm": 0.8142582774162292, + "learning_rate": 9.08645439827307e-05, + "loss": 3.2203, + "step": 78750 + }, + { + "epoch": 8.495956873315365, + "grad_norm": 0.8834460973739624, + "learning_rate": 9.054074473826227e-05, + "loss": 3.1837, + "step": 78800 + }, + { + "epoch": 8.501347708894878, + "grad_norm": 0.8685952425003052, + "learning_rate": 9.021694549379385e-05, + "loss": 3.1928, + "step": 78850 + }, + { + "epoch": 8.506738544474393, + "grad_norm": 0.8517999649047852, + "learning_rate": 8.989314624932541e-05, + "loss": 3.1989, + "step": 78900 + }, + { + "epoch": 8.512129380053908, + "grad_norm": 0.8131477236747742, + "learning_rate": 8.956934700485697e-05, + "loss": 3.1803, + "step": 78950 + }, + { + "epoch": 8.517520215633423, + "grad_norm": 0.8599629402160645, + "learning_rate": 8.924554776038855e-05, + "loss": 3.179, + "step": 79000 + }, + { + "epoch": 8.517520215633423, + "eval_accuracy": 0.391562733841387, + "eval_loss": 3.325984239578247, + "eval_runtime": 144.6148, + "eval_samples_per_second": 124.545, + "eval_steps_per_second": 7.786, + "step": 79000 + }, + { + "epoch": 8.522911051212938, + "grad_norm": 0.8564680218696594, + "learning_rate": 8.892174851592013e-05, + "loss": 3.1729, + "step": 79050 + }, + { + "epoch": 8.528301886792454, + "grad_norm": 0.8181639313697815, + "learning_rate": 8.859794927145168e-05, + "loss": 3.1896, + "step": 79100 + }, + { + "epoch": 8.533692722371967, + "grad_norm": 0.8143757581710815, + "learning_rate": 8.827415002698326e-05, + "loss": 3.1927, + "step": 79150 + }, + { + "epoch": 8.539083557951482, + "grad_norm": 0.8497621417045593, + "learning_rate": 8.795035078251483e-05, + "loss": 3.1863, + "step": 79200 + }, + { + "epoch": 8.544474393530997, + "grad_norm": 0.8546693325042725, + "learning_rate": 8.762655153804641e-05, + "loss": 3.1824, + "step": 79250 + }, + { + "epoch": 8.549865229110512, + "grad_norm": 0.8754087686538696, + "learning_rate": 8.730275229357798e-05, + "loss": 3.1838, + "step": 79300 + }, + { + "epoch": 8.555256064690028, + "grad_norm": 0.8723635077476501, + "learning_rate": 8.697895304910954e-05, + "loss": 3.1863, + "step": 79350 + }, + { + "epoch": 8.560646900269543, + "grad_norm": 0.8661187887191772, + "learning_rate": 8.665515380464112e-05, + "loss": 3.1918, + "step": 79400 + }, + { + "epoch": 8.566037735849056, + "grad_norm": 0.86223965883255, + "learning_rate": 8.633135456017268e-05, + "loss": 3.2093, + "step": 79450 + }, + { + "epoch": 8.571428571428571, + "grad_norm": 0.8359453082084656, + "learning_rate": 8.600755531570426e-05, + "loss": 3.1824, + "step": 79500 + }, + { + "epoch": 8.576819407008086, + "grad_norm": 0.8947768807411194, + "learning_rate": 8.568375607123582e-05, + "loss": 3.1772, + "step": 79550 + }, + { + "epoch": 8.582210242587601, + "grad_norm": 0.8508313298225403, + "learning_rate": 8.53599568267674e-05, + "loss": 3.1889, + "step": 79600 + }, + { + "epoch": 8.587601078167117, + "grad_norm": 0.8601868748664856, + "learning_rate": 8.503615758229897e-05, + "loss": 3.1874, + "step": 79650 + }, + { + "epoch": 8.59299191374663, + "grad_norm": 0.8759069442749023, + "learning_rate": 8.471235833783054e-05, + "loss": 3.1996, + "step": 79700 + }, + { + "epoch": 8.598382749326145, + "grad_norm": 0.8844007849693298, + "learning_rate": 8.438855909336211e-05, + "loss": 3.1962, + "step": 79750 + }, + { + "epoch": 8.60377358490566, + "grad_norm": 0.8556910753250122, + "learning_rate": 8.406475984889367e-05, + "loss": 3.2086, + "step": 79800 + }, + { + "epoch": 8.609164420485175, + "grad_norm": 0.831992506980896, + "learning_rate": 8.374096060442525e-05, + "loss": 3.1863, + "step": 79850 + }, + { + "epoch": 8.61455525606469, + "grad_norm": 0.8430582880973816, + "learning_rate": 8.341716135995683e-05, + "loss": 3.1847, + "step": 79900 + }, + { + "epoch": 8.619946091644206, + "grad_norm": 0.8734549283981323, + "learning_rate": 8.309336211548838e-05, + "loss": 3.2038, + "step": 79950 + }, + { + "epoch": 8.625336927223719, + "grad_norm": 0.9261046051979065, + "learning_rate": 8.276956287101996e-05, + "loss": 3.2147, + "step": 80000 + }, + { + "epoch": 8.625336927223719, + "eval_accuracy": 0.39186641866282845, + "eval_loss": 3.32257342338562, + "eval_runtime": 144.7379, + "eval_samples_per_second": 124.439, + "eval_steps_per_second": 7.78, + "step": 80000 + }, + { + "epoch": 8.630727762803234, + "grad_norm": 0.8802093863487244, + "learning_rate": 8.244576362655153e-05, + "loss": 3.1817, + "step": 80050 + }, + { + "epoch": 8.63611859838275, + "grad_norm": 0.8583772778511047, + "learning_rate": 8.212196438208311e-05, + "loss": 3.1909, + "step": 80100 + }, + { + "epoch": 8.641509433962264, + "grad_norm": 0.8642351627349854, + "learning_rate": 8.179816513761467e-05, + "loss": 3.1963, + "step": 80150 + }, + { + "epoch": 8.64690026954178, + "grad_norm": 0.8973760604858398, + "learning_rate": 8.147436589314624e-05, + "loss": 3.2099, + "step": 80200 + }, + { + "epoch": 8.652291105121293, + "grad_norm": 0.8562058210372925, + "learning_rate": 8.115056664867782e-05, + "loss": 3.1906, + "step": 80250 + }, + { + "epoch": 8.657681940700808, + "grad_norm": 0.8994555473327637, + "learning_rate": 8.083324338909874e-05, + "loss": 3.2017, + "step": 80300 + }, + { + "epoch": 8.663072776280323, + "grad_norm": 0.8898001313209534, + "learning_rate": 8.050944414463032e-05, + "loss": 3.1889, + "step": 80350 + }, + { + "epoch": 8.668463611859838, + "grad_norm": 0.9196224212646484, + "learning_rate": 8.01856449001619e-05, + "loss": 3.1986, + "step": 80400 + }, + { + "epoch": 8.673854447439354, + "grad_norm": 0.8797485828399658, + "learning_rate": 7.986184565569347e-05, + "loss": 3.1926, + "step": 80450 + }, + { + "epoch": 8.679245283018869, + "grad_norm": 0.8511892557144165, + "learning_rate": 7.953804641122503e-05, + "loss": 3.1938, + "step": 80500 + }, + { + "epoch": 8.684636118598382, + "grad_norm": 0.8300173282623291, + "learning_rate": 7.92142471667566e-05, + "loss": 3.1853, + "step": 80550 + }, + { + "epoch": 8.690026954177897, + "grad_norm": 0.8500287532806396, + "learning_rate": 7.889044792228818e-05, + "loss": 3.1736, + "step": 80600 + }, + { + "epoch": 8.695417789757412, + "grad_norm": 0.8612384796142578, + "learning_rate": 7.856664867781974e-05, + "loss": 3.1919, + "step": 80650 + }, + { + "epoch": 8.700808625336927, + "grad_norm": 0.8997857570648193, + "learning_rate": 7.824284943335132e-05, + "loss": 3.1807, + "step": 80700 + }, + { + "epoch": 8.706199460916443, + "grad_norm": 0.9068294167518616, + "learning_rate": 7.791905018888289e-05, + "loss": 3.1832, + "step": 80750 + }, + { + "epoch": 8.711590296495956, + "grad_norm": 0.8837656378746033, + "learning_rate": 7.760172692930382e-05, + "loss": 3.1801, + "step": 80800 + }, + { + "epoch": 8.716981132075471, + "grad_norm": 0.8144077658653259, + "learning_rate": 7.727792768483539e-05, + "loss": 3.1855, + "step": 80850 + }, + { + "epoch": 8.722371967654986, + "grad_norm": 0.8907399773597717, + "learning_rate": 7.695412844036697e-05, + "loss": 3.2069, + "step": 80900 + }, + { + "epoch": 8.727762803234501, + "grad_norm": 0.8766629695892334, + "learning_rate": 7.663032919589854e-05, + "loss": 3.185, + "step": 80950 + }, + { + "epoch": 8.733153638814017, + "grad_norm": 0.9268998503684998, + "learning_rate": 7.630652995143011e-05, + "loss": 3.1679, + "step": 81000 + }, + { + "epoch": 8.733153638814017, + "eval_accuracy": 0.3921787957152951, + "eval_loss": 3.319448947906494, + "eval_runtime": 144.5661, + "eval_samples_per_second": 124.587, + "eval_steps_per_second": 7.789, + "step": 81000 + }, + { + "epoch": 8.738544474393532, + "grad_norm": 0.8556450009346008, + "learning_rate": 7.598273070696167e-05, + "loss": 3.189, + "step": 81050 + }, + { + "epoch": 8.743935309973045, + "grad_norm": 0.8391192555427551, + "learning_rate": 7.565893146249325e-05, + "loss": 3.1888, + "step": 81100 + }, + { + "epoch": 8.74932614555256, + "grad_norm": 0.8569978475570679, + "learning_rate": 7.533513221802481e-05, + "loss": 3.1793, + "step": 81150 + }, + { + "epoch": 8.754716981132075, + "grad_norm": 0.83697509765625, + "learning_rate": 7.501133297355639e-05, + "loss": 3.2029, + "step": 81200 + }, + { + "epoch": 8.76010781671159, + "grad_norm": 0.9166164994239807, + "learning_rate": 7.468753372908796e-05, + "loss": 3.1904, + "step": 81250 + }, + { + "epoch": 8.765498652291106, + "grad_norm": 0.8388158082962036, + "learning_rate": 7.436373448461953e-05, + "loss": 3.1851, + "step": 81300 + }, + { + "epoch": 8.77088948787062, + "grad_norm": 0.8800873160362244, + "learning_rate": 7.40399352401511e-05, + "loss": 3.1813, + "step": 81350 + }, + { + "epoch": 8.776280323450134, + "grad_norm": 0.875529408454895, + "learning_rate": 7.371613599568268e-05, + "loss": 3.1869, + "step": 81400 + }, + { + "epoch": 8.78167115902965, + "grad_norm": 0.8746694922447205, + "learning_rate": 7.339233675121424e-05, + "loss": 3.1953, + "step": 81450 + }, + { + "epoch": 8.787061994609164, + "grad_norm": 0.8494973182678223, + "learning_rate": 7.306853750674582e-05, + "loss": 3.2106, + "step": 81500 + }, + { + "epoch": 8.79245283018868, + "grad_norm": 0.850772500038147, + "learning_rate": 7.274473826227738e-05, + "loss": 3.1906, + "step": 81550 + }, + { + "epoch": 8.797843665768195, + "grad_norm": 0.839963436126709, + "learning_rate": 7.242093901780896e-05, + "loss": 3.1795, + "step": 81600 + }, + { + "epoch": 8.80323450134771, + "grad_norm": 0.8491251468658447, + "learning_rate": 7.209713977334052e-05, + "loss": 3.192, + "step": 81650 + }, + { + "epoch": 8.808625336927223, + "grad_norm": 0.8784267902374268, + "learning_rate": 7.17733405288721e-05, + "loss": 3.1744, + "step": 81700 + }, + { + "epoch": 8.814016172506738, + "grad_norm": 0.9126667380332947, + "learning_rate": 7.144954128440366e-05, + "loss": 3.1796, + "step": 81750 + }, + { + "epoch": 8.819407008086253, + "grad_norm": 0.8692651987075806, + "learning_rate": 7.112574203993523e-05, + "loss": 3.1832, + "step": 81800 + }, + { + "epoch": 8.824797843665769, + "grad_norm": 0.8770309090614319, + "learning_rate": 7.08019427954668e-05, + "loss": 3.2016, + "step": 81850 + }, + { + "epoch": 8.830188679245284, + "grad_norm": 0.8823293447494507, + "learning_rate": 7.047814355099837e-05, + "loss": 3.1873, + "step": 81900 + }, + { + "epoch": 8.835579514824797, + "grad_norm": 0.8704630732536316, + "learning_rate": 7.015434430652993e-05, + "loss": 3.2026, + "step": 81950 + }, + { + "epoch": 8.840970350404312, + "grad_norm": 0.9046744704246521, + "learning_rate": 6.983054506206151e-05, + "loss": 3.1853, + "step": 82000 + }, + { + "epoch": 8.840970350404312, + "eval_accuracy": 0.3925066014778314, + "eval_loss": 3.3156585693359375, + "eval_runtime": 145.1073, + "eval_samples_per_second": 124.122, + "eval_steps_per_second": 7.76, + "step": 82000 + }, + { + "epoch": 8.846361185983827, + "grad_norm": 0.8452231884002686, + "learning_rate": 6.950674581759309e-05, + "loss": 3.1848, + "step": 82050 + }, + { + "epoch": 8.851752021563343, + "grad_norm": 0.8799333572387695, + "learning_rate": 6.918294657312465e-05, + "loss": 3.1834, + "step": 82100 + }, + { + "epoch": 8.857142857142858, + "grad_norm": 0.8334299325942993, + "learning_rate": 6.885914732865623e-05, + "loss": 3.1938, + "step": 82150 + }, + { + "epoch": 8.862533692722373, + "grad_norm": 0.8946378827095032, + "learning_rate": 6.85353480841878e-05, + "loss": 3.1897, + "step": 82200 + }, + { + "epoch": 8.867924528301886, + "grad_norm": 0.8897405862808228, + "learning_rate": 6.821154883971937e-05, + "loss": 3.2168, + "step": 82250 + }, + { + "epoch": 8.873315363881401, + "grad_norm": 0.8711948990821838, + "learning_rate": 6.788774959525094e-05, + "loss": 3.2046, + "step": 82300 + }, + { + "epoch": 8.878706199460916, + "grad_norm": 0.885848879814148, + "learning_rate": 6.756395035078252e-05, + "loss": 3.1739, + "step": 82350 + }, + { + "epoch": 8.884097035040432, + "grad_norm": 0.8410148620605469, + "learning_rate": 6.724015110631408e-05, + "loss": 3.1843, + "step": 82400 + }, + { + "epoch": 8.889487870619947, + "grad_norm": 0.8781217336654663, + "learning_rate": 6.691635186184566e-05, + "loss": 3.1943, + "step": 82450 + }, + { + "epoch": 8.89487870619946, + "grad_norm": 0.9249593615531921, + "learning_rate": 6.659255261737722e-05, + "loss": 3.1968, + "step": 82500 + }, + { + "epoch": 8.900269541778975, + "grad_norm": 0.8449723124504089, + "learning_rate": 6.626875337290879e-05, + "loss": 3.201, + "step": 82550 + }, + { + "epoch": 8.90566037735849, + "grad_norm": 0.8960906863212585, + "learning_rate": 6.594495412844036e-05, + "loss": 3.1813, + "step": 82600 + }, + { + "epoch": 8.911051212938006, + "grad_norm": 0.8776979446411133, + "learning_rate": 6.562115488397193e-05, + "loss": 3.195, + "step": 82650 + }, + { + "epoch": 8.91644204851752, + "grad_norm": 0.9270035028457642, + "learning_rate": 6.52973556395035e-05, + "loss": 3.1869, + "step": 82700 + }, + { + "epoch": 8.921832884097036, + "grad_norm": 0.8415541052818298, + "learning_rate": 6.497355639503507e-05, + "loss": 3.2007, + "step": 82750 + }, + { + "epoch": 8.92722371967655, + "grad_norm": 0.8638697862625122, + "learning_rate": 6.464975715056663e-05, + "loss": 3.196, + "step": 82800 + }, + { + "epoch": 8.932614555256064, + "grad_norm": 0.8706114888191223, + "learning_rate": 6.432595790609821e-05, + "loss": 3.2005, + "step": 82850 + }, + { + "epoch": 8.93800539083558, + "grad_norm": 0.8472486734390259, + "learning_rate": 6.400215866162979e-05, + "loss": 3.1974, + "step": 82900 + }, + { + "epoch": 8.943396226415095, + "grad_norm": 0.8397724032402039, + "learning_rate": 6.367835941716135e-05, + "loss": 3.1775, + "step": 82950 + }, + { + "epoch": 8.94878706199461, + "grad_norm": 0.8822309970855713, + "learning_rate": 6.335456017269293e-05, + "loss": 3.1983, + "step": 83000 + }, + { + "epoch": 8.94878706199461, + "eval_accuracy": 0.3929463197148166, + "eval_loss": 3.3126132488250732, + "eval_runtime": 144.3502, + "eval_samples_per_second": 124.773, + "eval_steps_per_second": 7.8, + "step": 83000 + }, + { + "epoch": 8.954177897574123, + "grad_norm": 0.8723492622375488, + "learning_rate": 6.30307609282245e-05, + "loss": 3.1766, + "step": 83050 + }, + { + "epoch": 8.959568733153638, + "grad_norm": 0.8709846138954163, + "learning_rate": 6.270696168375607e-05, + "loss": 3.175, + "step": 83100 + }, + { + "epoch": 8.964959568733153, + "grad_norm": 0.8878198862075806, + "learning_rate": 6.238316243928764e-05, + "loss": 3.1941, + "step": 83150 + }, + { + "epoch": 8.970350404312669, + "grad_norm": 0.8836817145347595, + "learning_rate": 6.205936319481921e-05, + "loss": 3.2027, + "step": 83200 + }, + { + "epoch": 8.975741239892184, + "grad_norm": 0.8428633809089661, + "learning_rate": 6.173556395035078e-05, + "loss": 3.1906, + "step": 83250 + }, + { + "epoch": 8.981132075471699, + "grad_norm": 0.9594284892082214, + "learning_rate": 6.141176470588236e-05, + "loss": 3.1918, + "step": 83300 + }, + { + "epoch": 8.986522911051212, + "grad_norm": 0.8987261056900024, + "learning_rate": 6.108796546141392e-05, + "loss": 3.173, + "step": 83350 + }, + { + "epoch": 8.991913746630727, + "grad_norm": 0.8823418617248535, + "learning_rate": 6.076416621694549e-05, + "loss": 3.1891, + "step": 83400 + }, + { + "epoch": 8.997304582210242, + "grad_norm": 0.8893031477928162, + "learning_rate": 6.0440366972477055e-05, + "loss": 3.2037, + "step": 83450 + }, + { + "epoch": 9.002695417789758, + "grad_norm": 0.9136379361152649, + "learning_rate": 6.011656772800863e-05, + "loss": 3.1651, + "step": 83500 + }, + { + "epoch": 9.008086253369273, + "grad_norm": 0.8600441217422485, + "learning_rate": 5.9792768483540197e-05, + "loss": 3.1415, + "step": 83550 + }, + { + "epoch": 9.013477088948788, + "grad_norm": 0.8468543887138367, + "learning_rate": 5.946896923907177e-05, + "loss": 3.1207, + "step": 83600 + }, + { + "epoch": 9.018867924528301, + "grad_norm": 0.9664818644523621, + "learning_rate": 5.9145169994603345e-05, + "loss": 3.1457, + "step": 83650 + }, + { + "epoch": 9.024258760107816, + "grad_norm": 0.8863913416862488, + "learning_rate": 5.882137075013491e-05, + "loss": 3.1286, + "step": 83700 + }, + { + "epoch": 9.029649595687331, + "grad_norm": 0.9203535914421082, + "learning_rate": 5.849757150566649e-05, + "loss": 3.1146, + "step": 83750 + }, + { + "epoch": 9.035040431266847, + "grad_norm": 0.9077261090278625, + "learning_rate": 5.817377226119805e-05, + "loss": 3.1489, + "step": 83800 + }, + { + "epoch": 9.040431266846362, + "grad_norm": 0.8649826645851135, + "learning_rate": 5.784997301672963e-05, + "loss": 3.1433, + "step": 83850 + }, + { + "epoch": 9.045822102425875, + "grad_norm": 0.8495699763298035, + "learning_rate": 5.752617377226119e-05, + "loss": 3.1463, + "step": 83900 + }, + { + "epoch": 9.05121293800539, + "grad_norm": 0.9024592638015747, + "learning_rate": 5.7202374527792764e-05, + "loss": 3.1301, + "step": 83950 + }, + { + "epoch": 9.056603773584905, + "grad_norm": 0.8416799902915955, + "learning_rate": 5.6878575283324335e-05, + "loss": 3.1342, + "step": 84000 + }, + { + "epoch": 9.056603773584905, + "eval_accuracy": 0.39281093821659974, + "eval_loss": 3.3160035610198975, + "eval_runtime": 144.3133, + "eval_samples_per_second": 124.805, + "eval_steps_per_second": 7.802, + "step": 84000 + }, + { + "epoch": 9.06199460916442, + "grad_norm": 0.9014863967895508, + "learning_rate": 5.6554776038855905e-05, + "loss": 3.1314, + "step": 84050 + }, + { + "epoch": 9.067385444743936, + "grad_norm": 0.8855228424072266, + "learning_rate": 5.623097679438747e-05, + "loss": 3.1385, + "step": 84100 + }, + { + "epoch": 9.07277628032345, + "grad_norm": 0.8690458536148071, + "learning_rate": 5.590717754991905e-05, + "loss": 3.1295, + "step": 84150 + }, + { + "epoch": 9.078167115902964, + "grad_norm": 0.8666431903839111, + "learning_rate": 5.558337830545061e-05, + "loss": 3.1376, + "step": 84200 + }, + { + "epoch": 9.08355795148248, + "grad_norm": 0.8776350617408752, + "learning_rate": 5.525957906098219e-05, + "loss": 3.1337, + "step": 84250 + }, + { + "epoch": 9.088948787061994, + "grad_norm": 0.8806595206260681, + "learning_rate": 5.493577981651375e-05, + "loss": 3.1243, + "step": 84300 + }, + { + "epoch": 9.09433962264151, + "grad_norm": 0.8908720016479492, + "learning_rate": 5.4611980572045324e-05, + "loss": 3.1214, + "step": 84350 + }, + { + "epoch": 9.099730458221025, + "grad_norm": 0.9047110676765442, + "learning_rate": 5.4288181327576895e-05, + "loss": 3.1415, + "step": 84400 + }, + { + "epoch": 9.10512129380054, + "grad_norm": 0.8715435862541199, + "learning_rate": 5.3964382083108466e-05, + "loss": 3.1467, + "step": 84450 + }, + { + "epoch": 9.110512129380053, + "grad_norm": 0.8695960640907288, + "learning_rate": 5.3640582838640043e-05, + "loss": 3.1282, + "step": 84500 + }, + { + "epoch": 9.115902964959568, + "grad_norm": 0.8799136281013489, + "learning_rate": 5.331678359417161e-05, + "loss": 3.1293, + "step": 84550 + }, + { + "epoch": 9.121293800539084, + "grad_norm": 0.9170258641242981, + "learning_rate": 5.2992984349703185e-05, + "loss": 3.1545, + "step": 84600 + }, + { + "epoch": 9.126684636118599, + "grad_norm": 0.8688546419143677, + "learning_rate": 5.266918510523475e-05, + "loss": 3.1321, + "step": 84650 + }, + { + "epoch": 9.132075471698114, + "grad_norm": 0.8524189591407776, + "learning_rate": 5.234538586076632e-05, + "loss": 3.1319, + "step": 84700 + }, + { + "epoch": 9.137466307277627, + "grad_norm": 0.8805209994316101, + "learning_rate": 5.202158661629789e-05, + "loss": 3.1293, + "step": 84750 + }, + { + "epoch": 9.142857142857142, + "grad_norm": 0.8989729881286621, + "learning_rate": 5.170426335671883e-05, + "loss": 3.1294, + "step": 84800 + }, + { + "epoch": 9.148247978436657, + "grad_norm": 0.8614277839660645, + "learning_rate": 5.1380464112250394e-05, + "loss": 3.1353, + "step": 84850 + }, + { + "epoch": 9.153638814016173, + "grad_norm": 0.9164130687713623, + "learning_rate": 5.105666486778197e-05, + "loss": 3.1406, + "step": 84900 + }, + { + "epoch": 9.159029649595688, + "grad_norm": 0.8775104880332947, + "learning_rate": 5.0732865623313536e-05, + "loss": 3.1511, + "step": 84950 + }, + { + "epoch": 9.164420485175203, + "grad_norm": 0.8897138833999634, + "learning_rate": 5.040906637884511e-05, + "loss": 3.1281, + "step": 85000 + }, + { + "epoch": 9.164420485175203, + "eval_accuracy": 0.39302259404206236, + "eval_loss": 3.314425230026245, + "eval_runtime": 144.4145, + "eval_samples_per_second": 124.717, + "eval_steps_per_second": 7.797, + "step": 85000 + }, + { + "epoch": 9.169811320754716, + "grad_norm": 0.879646897315979, + "learning_rate": 5.0085267134376684e-05, + "loss": 3.1298, + "step": 85050 + }, + { + "epoch": 9.175202156334231, + "grad_norm": 0.8806794881820679, + "learning_rate": 4.9761467889908255e-05, + "loss": 3.1558, + "step": 85100 + }, + { + "epoch": 9.180592991913747, + "grad_norm": 0.8712208867073059, + "learning_rate": 4.9437668645439826e-05, + "loss": 3.1331, + "step": 85150 + }, + { + "epoch": 9.185983827493262, + "grad_norm": 0.8732476830482483, + "learning_rate": 4.911386940097139e-05, + "loss": 3.151, + "step": 85200 + }, + { + "epoch": 9.191374663072777, + "grad_norm": 0.8525885939598083, + "learning_rate": 4.879007015650297e-05, + "loss": 3.1314, + "step": 85250 + }, + { + "epoch": 9.19676549865229, + "grad_norm": 0.8860559463500977, + "learning_rate": 4.846627091203453e-05, + "loss": 3.1299, + "step": 85300 + }, + { + "epoch": 9.202156334231805, + "grad_norm": 0.874052882194519, + "learning_rate": 4.814247166756611e-05, + "loss": 3.1431, + "step": 85350 + }, + { + "epoch": 9.20754716981132, + "grad_norm": 0.9141334891319275, + "learning_rate": 4.7818672423097674e-05, + "loss": 3.1152, + "step": 85400 + }, + { + "epoch": 9.212938005390836, + "grad_norm": 0.9071762561798096, + "learning_rate": 4.7494873178629244e-05, + "loss": 3.1379, + "step": 85450 + }, + { + "epoch": 9.21832884097035, + "grad_norm": 0.8646944761276245, + "learning_rate": 4.7171073934160815e-05, + "loss": 3.156, + "step": 85500 + }, + { + "epoch": 9.223719676549866, + "grad_norm": 0.9076562523841858, + "learning_rate": 4.6847274689692386e-05, + "loss": 3.137, + "step": 85550 + }, + { + "epoch": 9.22911051212938, + "grad_norm": 0.9522117376327515, + "learning_rate": 4.652347544522396e-05, + "loss": 3.1492, + "step": 85600 + }, + { + "epoch": 9.234501347708894, + "grad_norm": 0.8870116472244263, + "learning_rate": 4.619967620075553e-05, + "loss": 3.1478, + "step": 85650 + }, + { + "epoch": 9.23989218328841, + "grad_norm": 0.8715599775314331, + "learning_rate": 4.587587695628709e-05, + "loss": 3.1358, + "step": 85700 + }, + { + "epoch": 9.245283018867925, + "grad_norm": 0.9028836488723755, + "learning_rate": 4.555207771181867e-05, + "loss": 3.1411, + "step": 85750 + }, + { + "epoch": 9.25067385444744, + "grad_norm": 0.8923622965812683, + "learning_rate": 4.522827846735024e-05, + "loss": 3.1441, + "step": 85800 + }, + { + "epoch": 9.256064690026955, + "grad_norm": 0.8909099102020264, + "learning_rate": 4.490447922288181e-05, + "loss": 3.1425, + "step": 85850 + }, + { + "epoch": 9.261455525606468, + "grad_norm": 0.9339903593063354, + "learning_rate": 4.458067997841338e-05, + "loss": 3.1517, + "step": 85900 + }, + { + "epoch": 9.266846361185983, + "grad_norm": 0.9018579125404358, + "learning_rate": 4.4256880733944947e-05, + "loss": 3.1367, + "step": 85950 + }, + { + "epoch": 9.272237196765499, + "grad_norm": 0.8876761794090271, + "learning_rate": 4.3933081489476524e-05, + "loss": 3.129, + "step": 86000 + }, + { + "epoch": 9.272237196765499, + "eval_accuracy": 0.39344416724678255, + "eval_loss": 3.3115830421447754, + "eval_runtime": 145.8058, + "eval_samples_per_second": 123.527, + "eval_steps_per_second": 7.723, + "step": 86000 + }, + { + "epoch": 9.277628032345014, + "grad_norm": 0.8612155914306641, + "learning_rate": 4.360928224500809e-05, + "loss": 3.1131, + "step": 86050 + }, + { + "epoch": 9.283018867924529, + "grad_norm": 0.8957250118255615, + "learning_rate": 4.3285483000539666e-05, + "loss": 3.1292, + "step": 86100 + }, + { + "epoch": 9.288409703504042, + "grad_norm": 0.9094768166542053, + "learning_rate": 4.296168375607123e-05, + "loss": 3.1504, + "step": 86150 + }, + { + "epoch": 9.293800539083557, + "grad_norm": 0.8822762966156006, + "learning_rate": 4.263788451160281e-05, + "loss": 3.1272, + "step": 86200 + }, + { + "epoch": 9.299191374663073, + "grad_norm": 0.8798335194587708, + "learning_rate": 4.231408526713437e-05, + "loss": 3.1571, + "step": 86250 + }, + { + "epoch": 9.304582210242588, + "grad_norm": 0.9003534317016602, + "learning_rate": 4.199028602266594e-05, + "loss": 3.1374, + "step": 86300 + }, + { + "epoch": 9.309973045822103, + "grad_norm": 0.8739389777183533, + "learning_rate": 4.1666486778197514e-05, + "loss": 3.1306, + "step": 86350 + }, + { + "epoch": 9.315363881401618, + "grad_norm": 0.8704226613044739, + "learning_rate": 4.1342687533729085e-05, + "loss": 3.1398, + "step": 86400 + }, + { + "epoch": 9.320754716981131, + "grad_norm": 0.8752451539039612, + "learning_rate": 4.101888828926065e-05, + "loss": 3.1445, + "step": 86450 + }, + { + "epoch": 9.326145552560646, + "grad_norm": 0.9010379910469055, + "learning_rate": 4.0695089044792226e-05, + "loss": 3.1416, + "step": 86500 + }, + { + "epoch": 9.331536388140162, + "grad_norm": 0.893140435218811, + "learning_rate": 4.037128980032379e-05, + "loss": 3.1512, + "step": 86550 + }, + { + "epoch": 9.336927223719677, + "grad_norm": 0.8925532698631287, + "learning_rate": 4.004749055585537e-05, + "loss": 3.1407, + "step": 86600 + }, + { + "epoch": 9.342318059299192, + "grad_norm": 0.9114087820053101, + "learning_rate": 3.972369131138694e-05, + "loss": 3.1276, + "step": 86650 + }, + { + "epoch": 9.347708894878707, + "grad_norm": 0.8704652190208435, + "learning_rate": 3.93998920669185e-05, + "loss": 3.1325, + "step": 86700 + }, + { + "epoch": 9.35309973045822, + "grad_norm": 0.8590611815452576, + "learning_rate": 3.907609282245008e-05, + "loss": 3.1379, + "step": 86750 + }, + { + "epoch": 9.358490566037736, + "grad_norm": 0.8476240634918213, + "learning_rate": 3.875876956287101e-05, + "loss": 3.1505, + "step": 86800 + }, + { + "epoch": 9.36388140161725, + "grad_norm": 0.8863951563835144, + "learning_rate": 3.843497031840259e-05, + "loss": 3.1557, + "step": 86850 + }, + { + "epoch": 9.369272237196766, + "grad_norm": 0.8881932497024536, + "learning_rate": 3.8111171073934154e-05, + "loss": 3.1306, + "step": 86900 + }, + { + "epoch": 9.374663072776281, + "grad_norm": 0.9211652874946594, + "learning_rate": 3.778737182946573e-05, + "loss": 3.1398, + "step": 86950 + }, + { + "epoch": 9.380053908355794, + "grad_norm": 0.8532884120941162, + "learning_rate": 3.7463572584997296e-05, + "loss": 3.1315, + "step": 87000 + }, + { + "epoch": 9.380053908355794, + "eval_accuracy": 0.39368352955863783, + "eval_loss": 3.309629440307617, + "eval_runtime": 145.2816, + "eval_samples_per_second": 123.973, + "eval_steps_per_second": 7.75, + "step": 87000 + }, + { + "epoch": 9.38544474393531, + "grad_norm": 0.8766670227050781, + "learning_rate": 3.713977334052887e-05, + "loss": 3.1307, + "step": 87050 + }, + { + "epoch": 9.390835579514825, + "grad_norm": 0.8692664504051208, + "learning_rate": 3.681597409606044e-05, + "loss": 3.1387, + "step": 87100 + }, + { + "epoch": 9.39622641509434, + "grad_norm": 0.8868532180786133, + "learning_rate": 3.6498650836481376e-05, + "loss": 3.1427, + "step": 87150 + }, + { + "epoch": 9.401617250673855, + "grad_norm": 0.8694487810134888, + "learning_rate": 3.617485159201295e-05, + "loss": 3.1385, + "step": 87200 + }, + { + "epoch": 9.40700808625337, + "grad_norm": 0.8496524095535278, + "learning_rate": 3.585105234754452e-05, + "loss": 3.1259, + "step": 87250 + }, + { + "epoch": 9.412398921832883, + "grad_norm": 0.8991537094116211, + "learning_rate": 3.552725310307609e-05, + "loss": 3.154, + "step": 87300 + }, + { + "epoch": 9.417789757412399, + "grad_norm": 0.8673107624053955, + "learning_rate": 3.520345385860766e-05, + "loss": 3.1481, + "step": 87350 + }, + { + "epoch": 9.423180592991914, + "grad_norm": 0.8731547594070435, + "learning_rate": 3.487965461413923e-05, + "loss": 3.1545, + "step": 87400 + }, + { + "epoch": 9.428571428571429, + "grad_norm": 0.871950626373291, + "learning_rate": 3.45558553696708e-05, + "loss": 3.1449, + "step": 87450 + }, + { + "epoch": 9.433962264150944, + "grad_norm": 0.8890537023544312, + "learning_rate": 3.423205612520237e-05, + "loss": 3.1474, + "step": 87500 + }, + { + "epoch": 9.439353099730457, + "grad_norm": 0.9017044901847839, + "learning_rate": 3.3908256880733944e-05, + "loss": 3.1375, + "step": 87550 + }, + { + "epoch": 9.444743935309972, + "grad_norm": 0.9141184091567993, + "learning_rate": 3.3584457636265514e-05, + "loss": 3.1241, + "step": 87600 + }, + { + "epoch": 9.450134770889488, + "grad_norm": 0.8654083013534546, + "learning_rate": 3.3260658391797085e-05, + "loss": 3.1301, + "step": 87650 + }, + { + "epoch": 9.455525606469003, + "grad_norm": 0.8626784086227417, + "learning_rate": 3.2936859147328656e-05, + "loss": 3.1428, + "step": 87700 + }, + { + "epoch": 9.460916442048518, + "grad_norm": 0.9087199568748474, + "learning_rate": 3.261305990286023e-05, + "loss": 3.1462, + "step": 87750 + }, + { + "epoch": 9.466307277628033, + "grad_norm": 0.8533098101615906, + "learning_rate": 3.228926065839179e-05, + "loss": 3.1419, + "step": 87800 + }, + { + "epoch": 9.471698113207546, + "grad_norm": 0.8794834017753601, + "learning_rate": 3.196546141392336e-05, + "loss": 3.1435, + "step": 87850 + }, + { + "epoch": 9.477088948787062, + "grad_norm": 0.9012707471847534, + "learning_rate": 3.164166216945493e-05, + "loss": 3.1423, + "step": 87900 + }, + { + "epoch": 9.482479784366577, + "grad_norm": 0.8623753786087036, + "learning_rate": 3.1317862924986504e-05, + "loss": 3.1362, + "step": 87950 + }, + { + "epoch": 9.487870619946092, + "grad_norm": 0.9301363825798035, + "learning_rate": 3.0994063680518075e-05, + "loss": 3.1295, + "step": 88000 + }, + { + "epoch": 9.487870619946092, + "eval_accuracy": 0.3939586386705841, + "eval_loss": 3.307420253753662, + "eval_runtime": 149.154, + "eval_samples_per_second": 120.754, + "eval_steps_per_second": 7.549, + "step": 88000 + }, + { + "epoch": 9.493261455525607, + "grad_norm": 0.8840963840484619, + "learning_rate": 3.0670264436049646e-05, + "loss": 3.1311, + "step": 88050 + }, + { + "epoch": 9.498652291105122, + "grad_norm": 0.8954595923423767, + "learning_rate": 3.0346465191581217e-05, + "loss": 3.1296, + "step": 88100 + }, + { + "epoch": 9.504043126684635, + "grad_norm": 0.8655648827552795, + "learning_rate": 3.002266594711279e-05, + "loss": 3.1302, + "step": 88150 + }, + { + "epoch": 9.50943396226415, + "grad_norm": 0.8797849416732788, + "learning_rate": 2.969886670264436e-05, + "loss": 3.1371, + "step": 88200 + }, + { + "epoch": 9.514824797843666, + "grad_norm": 0.9118847846984863, + "learning_rate": 2.937506745817593e-05, + "loss": 3.1351, + "step": 88250 + }, + { + "epoch": 9.520215633423181, + "grad_norm": 0.9413871765136719, + "learning_rate": 2.90512682137075e-05, + "loss": 3.1271, + "step": 88300 + }, + { + "epoch": 9.525606469002696, + "grad_norm": 0.8877630233764648, + "learning_rate": 2.872746896923907e-05, + "loss": 3.1265, + "step": 88350 + }, + { + "epoch": 9.530997304582211, + "grad_norm": 0.9085790514945984, + "learning_rate": 2.8403669724770642e-05, + "loss": 3.1349, + "step": 88400 + }, + { + "epoch": 9.536388140161725, + "grad_norm": 0.8877115249633789, + "learning_rate": 2.807987048030221e-05, + "loss": 3.1435, + "step": 88450 + }, + { + "epoch": 9.54177897574124, + "grad_norm": 0.855800449848175, + "learning_rate": 2.775607123583378e-05, + "loss": 3.1391, + "step": 88500 + }, + { + "epoch": 9.547169811320755, + "grad_norm": 0.8799571394920349, + "learning_rate": 2.743227199136535e-05, + "loss": 3.1526, + "step": 88550 + }, + { + "epoch": 9.55256064690027, + "grad_norm": 0.8849266171455383, + "learning_rate": 2.7108472746896922e-05, + "loss": 3.1457, + "step": 88600 + }, + { + "epoch": 9.557951482479785, + "grad_norm": 0.9104188680648804, + "learning_rate": 2.6784673502428493e-05, + "loss": 3.1455, + "step": 88650 + }, + { + "epoch": 9.563342318059298, + "grad_norm": 0.8904628157615662, + "learning_rate": 2.646087425796006e-05, + "loss": 3.1416, + "step": 88700 + }, + { + "epoch": 9.568733153638814, + "grad_norm": 0.9009488821029663, + "learning_rate": 2.613707501349163e-05, + "loss": 3.1337, + "step": 88750 + }, + { + "epoch": 9.574123989218329, + "grad_norm": 0.8888774514198303, + "learning_rate": 2.5813275769023202e-05, + "loss": 3.1275, + "step": 88800 + }, + { + "epoch": 9.579514824797844, + "grad_norm": 0.8575297594070435, + "learning_rate": 2.5489476524554773e-05, + "loss": 3.147, + "step": 88850 + }, + { + "epoch": 9.584905660377359, + "grad_norm": 0.8705415725708008, + "learning_rate": 2.5165677280086344e-05, + "loss": 3.1359, + "step": 88900 + }, + { + "epoch": 9.590296495956874, + "grad_norm": 0.8735716342926025, + "learning_rate": 2.484187803561792e-05, + "loss": 3.1204, + "step": 88950 + }, + { + "epoch": 9.595687331536388, + "grad_norm": 0.8858790993690491, + "learning_rate": 2.4518078791149486e-05, + "loss": 3.1314, + "step": 89000 + }, + { + "epoch": 9.595687331536388, + "eval_accuracy": 0.3941762704048765, + "eval_loss": 3.3044450283050537, + "eval_runtime": 148.2284, + "eval_samples_per_second": 121.508, + "eval_steps_per_second": 7.596, + "step": 89000 + }, + { + "epoch": 9.601078167115903, + "grad_norm": 0.8914674520492554, + "learning_rate": 2.4194279546681057e-05, + "loss": 3.1446, + "step": 89050 + }, + { + "epoch": 9.606469002695418, + "grad_norm": 0.8769115805625916, + "learning_rate": 2.3870480302212628e-05, + "loss": 3.1347, + "step": 89100 + }, + { + "epoch": 9.611859838274933, + "grad_norm": 0.8797803521156311, + "learning_rate": 2.35466810577442e-05, + "loss": 3.1514, + "step": 89150 + }, + { + "epoch": 9.617250673854448, + "grad_norm": 0.9202283024787903, + "learning_rate": 2.3222881813275766e-05, + "loss": 3.1392, + "step": 89200 + }, + { + "epoch": 9.622641509433961, + "grad_norm": 0.9270514249801636, + "learning_rate": 2.2899082568807337e-05, + "loss": 3.1504, + "step": 89250 + }, + { + "epoch": 9.628032345013477, + "grad_norm": 0.8745276927947998, + "learning_rate": 2.2575283324338908e-05, + "loss": 3.134, + "step": 89300 + }, + { + "epoch": 9.633423180592992, + "grad_norm": 0.9120118618011475, + "learning_rate": 2.225148407987048e-05, + "loss": 3.1519, + "step": 89350 + }, + { + "epoch": 9.638814016172507, + "grad_norm": 0.8961083889007568, + "learning_rate": 2.192768483540205e-05, + "loss": 3.1427, + "step": 89400 + }, + { + "epoch": 9.644204851752022, + "grad_norm": 0.9004408717155457, + "learning_rate": 2.1603885590933617e-05, + "loss": 3.138, + "step": 89450 + }, + { + "epoch": 9.649595687331537, + "grad_norm": 0.9192554950714111, + "learning_rate": 2.1280086346465188e-05, + "loss": 3.138, + "step": 89500 + }, + { + "epoch": 9.65498652291105, + "grad_norm": 0.8526079058647156, + "learning_rate": 2.095628710199676e-05, + "loss": 3.1405, + "step": 89550 + }, + { + "epoch": 9.660377358490566, + "grad_norm": 0.8591670989990234, + "learning_rate": 2.063248785752833e-05, + "loss": 3.1186, + "step": 89600 + }, + { + "epoch": 9.66576819407008, + "grad_norm": 0.8714630007743835, + "learning_rate": 2.03086886130599e-05, + "loss": 3.1363, + "step": 89650 + }, + { + "epoch": 9.671159029649596, + "grad_norm": 0.884052038192749, + "learning_rate": 1.9984889368591468e-05, + "loss": 3.1389, + "step": 89700 + }, + { + "epoch": 9.676549865229111, + "grad_norm": 0.8649567365646362, + "learning_rate": 1.9661090124123042e-05, + "loss": 3.1361, + "step": 89750 + }, + { + "epoch": 9.681940700808624, + "grad_norm": 0.8387906551361084, + "learning_rate": 1.9337290879654613e-05, + "loss": 3.1336, + "step": 89800 + }, + { + "epoch": 9.68733153638814, + "grad_norm": 0.9404808878898621, + "learning_rate": 1.9013491635186184e-05, + "loss": 3.1533, + "step": 89850 + }, + { + "epoch": 9.692722371967655, + "grad_norm": 0.8834516406059265, + "learning_rate": 1.868969239071775e-05, + "loss": 3.1351, + "step": 89900 + }, + { + "epoch": 9.69811320754717, + "grad_norm": 0.8900846838951111, + "learning_rate": 1.8365893146249326e-05, + "loss": 3.1486, + "step": 89950 + }, + { + "epoch": 9.703504043126685, + "grad_norm": 0.8816651105880737, + "learning_rate": 1.804856988667026e-05, + "loss": 3.1393, + "step": 90000 + }, + { + "epoch": 9.703504043126685, + "eval_accuracy": 0.3945371066453084, + "eval_loss": 3.302194118499756, + "eval_runtime": 144.8797, + "eval_samples_per_second": 124.317, + "eval_steps_per_second": 7.772, + "step": 90000 + }, + { + "epoch": 9.7088948787062, + "grad_norm": 0.838594913482666, + "learning_rate": 1.7724770642201832e-05, + "loss": 3.1469, + "step": 90050 + }, + { + "epoch": 9.714285714285714, + "grad_norm": 0.8883389234542847, + "learning_rate": 1.7400971397733403e-05, + "loss": 3.1193, + "step": 90100 + }, + { + "epoch": 9.719676549865229, + "grad_norm": 0.9108944535255432, + "learning_rate": 1.7077172153264974e-05, + "loss": 3.1392, + "step": 90150 + }, + { + "epoch": 9.725067385444744, + "grad_norm": 0.8431962132453918, + "learning_rate": 1.6753372908796545e-05, + "loss": 3.1381, + "step": 90200 + }, + { + "epoch": 9.730458221024259, + "grad_norm": 0.8743937015533447, + "learning_rate": 1.6429573664328116e-05, + "loss": 3.145, + "step": 90250 + }, + { + "epoch": 9.735849056603774, + "grad_norm": 0.8629220724105835, + "learning_rate": 1.6105774419859686e-05, + "loss": 3.1306, + "step": 90300 + }, + { + "epoch": 9.74123989218329, + "grad_norm": 0.8852779269218445, + "learning_rate": 1.5781975175391257e-05, + "loss": 3.1319, + "step": 90350 + }, + { + "epoch": 9.746630727762803, + "grad_norm": 0.9184566140174866, + "learning_rate": 1.5458175930922825e-05, + "loss": 3.1666, + "step": 90400 + }, + { + "epoch": 9.752021563342318, + "grad_norm": 0.9023894667625427, + "learning_rate": 1.5134376686454396e-05, + "loss": 3.1306, + "step": 90450 + }, + { + "epoch": 9.757412398921833, + "grad_norm": 0.9004638195037842, + "learning_rate": 1.4810577441985967e-05, + "loss": 3.1363, + "step": 90500 + }, + { + "epoch": 9.762803234501348, + "grad_norm": 0.8953021168708801, + "learning_rate": 1.448677819751754e-05, + "loss": 3.1375, + "step": 90550 + }, + { + "epoch": 9.768194070080863, + "grad_norm": 0.8708047270774841, + "learning_rate": 1.4162978953049108e-05, + "loss": 3.1365, + "step": 90600 + }, + { + "epoch": 9.773584905660378, + "grad_norm": 0.9202978014945984, + "learning_rate": 1.383917970858068e-05, + "loss": 3.139, + "step": 90650 + }, + { + "epoch": 9.778975741239892, + "grad_norm": 0.873303234577179, + "learning_rate": 1.3515380464112248e-05, + "loss": 3.1415, + "step": 90700 + }, + { + "epoch": 9.784366576819407, + "grad_norm": 0.8893952965736389, + "learning_rate": 1.319158121964382e-05, + "loss": 3.1337, + "step": 90750 + }, + { + "epoch": 9.789757412398922, + "grad_norm": 0.8699616193771362, + "learning_rate": 1.286778197517539e-05, + "loss": 3.1586, + "step": 90800 + }, + { + "epoch": 9.795148247978437, + "grad_norm": 0.8520570397377014, + "learning_rate": 1.254398273070696e-05, + "loss": 3.1466, + "step": 90850 + }, + { + "epoch": 9.800539083557952, + "grad_norm": 0.8792015314102173, + "learning_rate": 1.222018348623853e-05, + "loss": 3.1346, + "step": 90900 + }, + { + "epoch": 9.805929919137466, + "grad_norm": 0.8973324298858643, + "learning_rate": 1.1896384241770103e-05, + "loss": 3.1461, + "step": 90950 + }, + { + "epoch": 9.81132075471698, + "grad_norm": 0.9155670404434204, + "learning_rate": 1.1572584997301672e-05, + "loss": 3.1482, + "step": 91000 + }, + { + "epoch": 9.81132075471698, + "eval_accuracy": 0.39480015528670725, + "eval_loss": 3.3000259399414062, + "eval_runtime": 145.0672, + "eval_samples_per_second": 124.156, + "eval_steps_per_second": 7.762, + "step": 91000 + }, + { + "epoch": 9.816711590296496, + "grad_norm": 0.8871265053749084, + "learning_rate": 1.1248785752833243e-05, + "loss": 3.1388, + "step": 91050 + }, + { + "epoch": 9.822102425876011, + "grad_norm": 0.8872923254966736, + "learning_rate": 1.0924986508364812e-05, + "loss": 3.1357, + "step": 91100 + }, + { + "epoch": 9.827493261455526, + "grad_norm": 0.9061611890792847, + "learning_rate": 1.0601187263896383e-05, + "loss": 3.1352, + "step": 91150 + }, + { + "epoch": 9.832884097035041, + "grad_norm": 0.8572269678115845, + "learning_rate": 1.0277388019427954e-05, + "loss": 3.1197, + "step": 91200 + }, + { + "epoch": 9.838274932614555, + "grad_norm": 0.885341465473175, + "learning_rate": 9.953588774959523e-06, + "loss": 3.1274, + "step": 91250 + }, + { + "epoch": 9.84366576819407, + "grad_norm": 0.8611572980880737, + "learning_rate": 9.629789530491094e-06, + "loss": 3.1226, + "step": 91300 + }, + { + "epoch": 9.849056603773585, + "grad_norm": 0.8572142124176025, + "learning_rate": 9.305990286022665e-06, + "loss": 3.136, + "step": 91350 + }, + { + "epoch": 9.8544474393531, + "grad_norm": 0.8688450455665588, + "learning_rate": 8.982191041554236e-06, + "loss": 3.1578, + "step": 91400 + }, + { + "epoch": 9.859838274932615, + "grad_norm": 0.8928735852241516, + "learning_rate": 8.658391797085807e-06, + "loss": 3.1433, + "step": 91450 + }, + { + "epoch": 9.865229110512129, + "grad_norm": 0.896587073802948, + "learning_rate": 8.334592552617376e-06, + "loss": 3.1436, + "step": 91500 + }, + { + "epoch": 9.870619946091644, + "grad_norm": 0.8551061153411865, + "learning_rate": 8.010793308148947e-06, + "loss": 3.1533, + "step": 91550 + }, + { + "epoch": 9.876010781671159, + "grad_norm": 0.8464284539222717, + "learning_rate": 7.686994063680518e-06, + "loss": 3.1257, + "step": 91600 + }, + { + "epoch": 9.881401617250674, + "grad_norm": 0.9157042503356934, + "learning_rate": 7.363194819212088e-06, + "loss": 3.149, + "step": 91650 + }, + { + "epoch": 9.88679245283019, + "grad_norm": 0.8951448202133179, + "learning_rate": 7.039395574743659e-06, + "loss": 3.1446, + "step": 91700 + }, + { + "epoch": 9.892183288409704, + "grad_norm": 0.8758090138435364, + "learning_rate": 6.715596330275229e-06, + "loss": 3.14, + "step": 91750 + }, + { + "epoch": 9.897574123989218, + "grad_norm": 0.8644574284553528, + "learning_rate": 6.391797085806799e-06, + "loss": 3.1475, + "step": 91800 + }, + { + "epoch": 9.902964959568733, + "grad_norm": 0.8543850779533386, + "learning_rate": 6.06799784133837e-06, + "loss": 3.1465, + "step": 91850 + }, + { + "epoch": 9.908355795148248, + "grad_norm": 0.9241363406181335, + "learning_rate": 5.7441985968699405e-06, + "loss": 3.1426, + "step": 91900 + }, + { + "epoch": 9.913746630727763, + "grad_norm": 0.879792332649231, + "learning_rate": 5.4203993524015106e-06, + "loss": 3.1538, + "step": 91950 + }, + { + "epoch": 9.919137466307278, + "grad_norm": 0.8894714117050171, + "learning_rate": 5.0966001079330814e-06, + "loss": 3.1491, + "step": 92000 + }, + { + "epoch": 9.919137466307278, + "eval_accuracy": 0.39495226932964755, + "eval_loss": 3.298417091369629, + "eval_runtime": 144.6988, + "eval_samples_per_second": 124.472, + "eval_steps_per_second": 7.782, + "step": 92000 + }, + { + "epoch": 9.924528301886792, + "grad_norm": 0.9046355485916138, + "learning_rate": 4.7728008634646515e-06, + "loss": 3.1456, + "step": 92050 + }, + { + "epoch": 9.929919137466307, + "grad_norm": 0.8623807430267334, + "learning_rate": 4.4490016189962215e-06, + "loss": 3.1459, + "step": 92100 + }, + { + "epoch": 9.935309973045822, + "grad_norm": 0.8960924744606018, + "learning_rate": 4.125202374527792e-06, + "loss": 3.1364, + "step": 92150 + }, + { + "epoch": 9.940700808625337, + "grad_norm": 0.8859240412712097, + "learning_rate": 3.801403130059363e-06, + "loss": 3.1374, + "step": 92200 + }, + { + "epoch": 9.946091644204852, + "grad_norm": 0.8762020468711853, + "learning_rate": 3.4776038855909334e-06, + "loss": 3.1298, + "step": 92250 + }, + { + "epoch": 9.951482479784367, + "grad_norm": 0.9063745141029358, + "learning_rate": 3.153804641122504e-06, + "loss": 3.1311, + "step": 92300 + }, + { + "epoch": 9.95687331536388, + "grad_norm": 0.8865078687667847, + "learning_rate": 2.8300053966540743e-06, + "loss": 3.1408, + "step": 92350 + }, + { + "epoch": 9.962264150943396, + "grad_norm": 0.8569134473800659, + "learning_rate": 2.5062061521856448e-06, + "loss": 3.155, + "step": 92400 + }, + { + "epoch": 9.967654986522911, + "grad_norm": 0.8760040402412415, + "learning_rate": 2.1824069077172152e-06, + "loss": 3.1287, + "step": 92450 + }, + { + "epoch": 9.973045822102426, + "grad_norm": 0.9021893739700317, + "learning_rate": 1.8586076632487855e-06, + "loss": 3.1293, + "step": 92500 + }, + { + "epoch": 9.978436657681941, + "grad_norm": 0.9074612855911255, + "learning_rate": 1.534808418780356e-06, + "loss": 3.137, + "step": 92550 + }, + { + "epoch": 9.983827493261456, + "grad_norm": 0.8578439950942993, + "learning_rate": 1.2110091743119264e-06, + "loss": 3.1354, + "step": 92600 + }, + { + "epoch": 9.98921832884097, + "grad_norm": 0.870607852935791, + "learning_rate": 8.872099298434969e-07, + "loss": 3.1324, + "step": 92650 + }, + { + "epoch": 9.994609164420485, + "grad_norm": 0.8730108737945557, + "learning_rate": 5.69886670264436e-07, + "loss": 3.126, + "step": 92700 + }, + { + "epoch": 10.0, + "grad_norm": 1.8578360080718994, + "learning_rate": 2.4608742579600644e-07, + "loss": 3.1371, + "step": 92750 + }, + { + "epoch": 10.0, + "step": 92750, + "total_flos": 7.75449427968e+17, + "train_loss": 3.4695698613991954, + "train_runtime": 61247.9496, + "train_samples_per_second": 48.455, + "train_steps_per_second": 1.514 + } + ], + "logging_steps": 50, + "max_steps": 92750, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 10000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 7.75449427968e+17, + "train_batch_size": 32, + "trial_name": null, + "trial_params": null +}