diff --git "a/checkpoint-969/trainer_state.json" "b/checkpoint-969/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-969/trainer_state.json" @@ -0,0 +1,6836 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9992266047950503, + "eval_steps": 243, + "global_step": 969, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.08921732753515244, + "learning_rate": 2e-05, + "loss": 0.8982, + "step": 1 + }, + { + "epoch": 0.0, + "eval_loss": 0.910159707069397, + "eval_runtime": 111.5727, + "eval_samples_per_second": 89.072, + "eval_steps_per_second": 22.272, + "step": 1 + }, + { + "epoch": 0.0, + "grad_norm": 0.07926193624734879, + "learning_rate": 4e-05, + "loss": 0.8904, + "step": 2 + }, + { + "epoch": 0.0, + "grad_norm": 0.09000936150550842, + "learning_rate": 6e-05, + "loss": 0.8817, + "step": 3 + }, + { + "epoch": 0.0, + "grad_norm": 0.08947216719388962, + "learning_rate": 8e-05, + "loss": 0.8865, + "step": 4 + }, + { + "epoch": 0.01, + "grad_norm": 0.09538354724645615, + "learning_rate": 0.0001, + "loss": 0.7988, + "step": 5 + }, + { + "epoch": 0.01, + "grad_norm": 0.11288489401340485, + "learning_rate": 0.00012, + "loss": 0.8345, + "step": 6 + }, + { + "epoch": 0.01, + "grad_norm": 0.08290982991456985, + "learning_rate": 0.00014, + "loss": 0.8137, + "step": 7 + }, + { + "epoch": 0.01, + "grad_norm": 0.06841357797384262, + "learning_rate": 0.00016, + "loss": 0.7308, + "step": 8 + }, + { + "epoch": 0.01, + "grad_norm": 0.07010111957788467, + "learning_rate": 0.00018, + "loss": 0.8572, + "step": 9 + }, + { + "epoch": 0.01, + "grad_norm": 0.07711824029684067, + "learning_rate": 0.0002, + "loss": 0.7942, + "step": 10 + }, + { + "epoch": 0.01, + "grad_norm": 0.06440314650535583, + "learning_rate": 0.00019999994120062405, + "loss": 0.7049, + "step": 11 + }, + { + "epoch": 0.01, + "grad_norm": 0.0699019655585289, + "learning_rate": 0.0001999997648025654, + "loss": 0.8176, + "step": 12 + }, + { + "epoch": 0.01, + "grad_norm": 0.07182443886995316, + "learning_rate": 0.00019999947080603144, + "loss": 0.8583, + "step": 13 + }, + { + "epoch": 0.01, + "grad_norm": 0.057579606771469116, + "learning_rate": 0.00019999905921136795, + "loss": 0.8021, + "step": 14 + }, + { + "epoch": 0.02, + "grad_norm": 0.051665112376213074, + "learning_rate": 0.0001999985300190589, + "loss": 0.7698, + "step": 15 + }, + { + "epoch": 0.02, + "grad_norm": 0.05774515122175217, + "learning_rate": 0.00019999788322972668, + "loss": 0.7913, + "step": 16 + }, + { + "epoch": 0.02, + "grad_norm": 0.054730940610170364, + "learning_rate": 0.0001999971188441319, + "loss": 0.7205, + "step": 17 + }, + { + "epoch": 0.02, + "grad_norm": 0.05652638524770737, + "learning_rate": 0.00019999623686317342, + "loss": 0.7844, + "step": 18 + }, + { + "epoch": 0.02, + "grad_norm": 0.05296637862920761, + "learning_rate": 0.00019999523728788846, + "loss": 0.7022, + "step": 19 + }, + { + "epoch": 0.02, + "grad_norm": 0.05956929177045822, + "learning_rate": 0.00019999412011945252, + "loss": 0.7541, + "step": 20 + }, + { + "epoch": 0.02, + "grad_norm": 0.050489749759435654, + "learning_rate": 0.00019999288535917938, + "loss": 0.7155, + "step": 21 + }, + { + "epoch": 0.02, + "grad_norm": 0.048119645565748215, + "learning_rate": 0.00019999153300852106, + "loss": 0.757, + "step": 22 + }, + { + "epoch": 0.02, + "grad_norm": 0.050988584756851196, + "learning_rate": 0.00019999006306906797, + "loss": 0.7282, + "step": 23 + }, + { + "epoch": 0.02, + "grad_norm": 0.04979432374238968, + "learning_rate": 0.00019998847554254868, + "loss": 0.79, + "step": 24 + }, + { + "epoch": 0.03, + "grad_norm": 0.04835788160562515, + "learning_rate": 0.00019998677043083017, + "loss": 0.7097, + "step": 25 + }, + { + "epoch": 0.03, + "grad_norm": 0.05280015245079994, + "learning_rate": 0.00019998494773591758, + "loss": 0.8246, + "step": 26 + }, + { + "epoch": 0.03, + "grad_norm": 0.05030938982963562, + "learning_rate": 0.00019998300745995438, + "loss": 0.7865, + "step": 27 + }, + { + "epoch": 0.03, + "grad_norm": 0.050140462815761566, + "learning_rate": 0.00019998094960522233, + "loss": 0.7679, + "step": 28 + }, + { + "epoch": 0.03, + "grad_norm": 0.053974639624357224, + "learning_rate": 0.00019997877417414142, + "loss": 0.7476, + "step": 29 + }, + { + "epoch": 0.03, + "grad_norm": 0.048135802149772644, + "learning_rate": 0.00019997648116926994, + "loss": 0.7894, + "step": 30 + }, + { + "epoch": 0.03, + "grad_norm": 0.05285784229636192, + "learning_rate": 0.00019997407059330443, + "loss": 0.7967, + "step": 31 + }, + { + "epoch": 0.03, + "grad_norm": 0.06759033352136612, + "learning_rate": 0.00019997154244907973, + "loss": 0.8675, + "step": 32 + }, + { + "epoch": 0.03, + "grad_norm": 0.05007735639810562, + "learning_rate": 0.00019996889673956885, + "loss": 0.8439, + "step": 33 + }, + { + "epoch": 0.04, + "grad_norm": 0.044428203254938126, + "learning_rate": 0.00019996613346788316, + "loss": 0.7767, + "step": 34 + }, + { + "epoch": 0.04, + "grad_norm": 0.04795186221599579, + "learning_rate": 0.00019996325263727218, + "loss": 0.7618, + "step": 35 + }, + { + "epoch": 0.04, + "grad_norm": 0.045297641307115555, + "learning_rate": 0.00019996025425112377, + "loss": 0.7379, + "step": 36 + }, + { + "epoch": 0.04, + "grad_norm": 0.04418836906552315, + "learning_rate": 0.000199957138312964, + "loss": 0.7092, + "step": 37 + }, + { + "epoch": 0.04, + "grad_norm": 0.05495867133140564, + "learning_rate": 0.0001999539048264572, + "loss": 0.7708, + "step": 38 + }, + { + "epoch": 0.04, + "grad_norm": 0.047341588884592056, + "learning_rate": 0.0001999505537954058, + "loss": 0.7829, + "step": 39 + }, + { + "epoch": 0.04, + "grad_norm": 0.05130796134471893, + "learning_rate": 0.0001999470852237507, + "loss": 0.701, + "step": 40 + }, + { + "epoch": 0.04, + "grad_norm": 0.04843367636203766, + "learning_rate": 0.00019994349911557082, + "loss": 0.7624, + "step": 41 + }, + { + "epoch": 0.04, + "grad_norm": 0.05179371312260628, + "learning_rate": 0.0001999397954750834, + "loss": 0.7432, + "step": 42 + }, + { + "epoch": 0.04, + "grad_norm": 0.052478544414043427, + "learning_rate": 0.00019993597430664387, + "loss": 0.7313, + "step": 43 + }, + { + "epoch": 0.05, + "grad_norm": 0.05324641987681389, + "learning_rate": 0.00019993203561474588, + "loss": 0.8092, + "step": 44 + }, + { + "epoch": 0.05, + "grad_norm": 0.051216114312410355, + "learning_rate": 0.0001999279794040213, + "loss": 0.6828, + "step": 45 + }, + { + "epoch": 0.05, + "grad_norm": 0.0454455241560936, + "learning_rate": 0.0001999238056792401, + "loss": 0.7963, + "step": 46 + }, + { + "epoch": 0.05, + "grad_norm": 0.04751123487949371, + "learning_rate": 0.00019991951444531066, + "loss": 0.8264, + "step": 47 + }, + { + "epoch": 0.05, + "grad_norm": 0.05125482380390167, + "learning_rate": 0.00019991510570727933, + "loss": 0.7282, + "step": 48 + }, + { + "epoch": 0.05, + "grad_norm": 0.05229455232620239, + "learning_rate": 0.00019991057947033074, + "loss": 0.7409, + "step": 49 + }, + { + "epoch": 0.05, + "grad_norm": 0.046746984124183655, + "learning_rate": 0.00019990593573978772, + "loss": 0.8096, + "step": 50 + }, + { + "epoch": 0.05, + "grad_norm": 0.0461801253259182, + "learning_rate": 0.00019990117452111124, + "loss": 0.7995, + "step": 51 + }, + { + "epoch": 0.05, + "grad_norm": 0.04826509580016136, + "learning_rate": 0.00019989629581990037, + "loss": 0.795, + "step": 52 + }, + { + "epoch": 0.05, + "grad_norm": 0.04601113870739937, + "learning_rate": 0.00019989129964189246, + "loss": 0.7805, + "step": 53 + }, + { + "epoch": 0.06, + "grad_norm": 0.05406435951590538, + "learning_rate": 0.00019988618599296295, + "loss": 0.7585, + "step": 54 + }, + { + "epoch": 0.06, + "grad_norm": 0.054005216807127, + "learning_rate": 0.00019988095487912539, + "loss": 0.7165, + "step": 55 + }, + { + "epoch": 0.06, + "grad_norm": 0.04769807681441307, + "learning_rate": 0.00019987560630653156, + "loss": 0.7695, + "step": 56 + }, + { + "epoch": 0.06, + "grad_norm": 0.04815264418721199, + "learning_rate": 0.00019987014028147125, + "loss": 0.6944, + "step": 57 + }, + { + "epoch": 0.06, + "grad_norm": 0.051092248409986496, + "learning_rate": 0.00019986455681037248, + "loss": 0.7619, + "step": 58 + }, + { + "epoch": 0.06, + "grad_norm": 0.048955272883176804, + "learning_rate": 0.00019985885589980136, + "loss": 0.7827, + "step": 59 + }, + { + "epoch": 0.06, + "grad_norm": 0.049241162836551666, + "learning_rate": 0.00019985303755646206, + "loss": 0.6925, + "step": 60 + }, + { + "epoch": 0.06, + "grad_norm": 0.05324079468846321, + "learning_rate": 0.00019984710178719685, + "loss": 0.7269, + "step": 61 + }, + { + "epoch": 0.06, + "grad_norm": 0.05057024210691452, + "learning_rate": 0.0001998410485989862, + "loss": 0.7598, + "step": 62 + }, + { + "epoch": 0.06, + "grad_norm": 0.05710586905479431, + "learning_rate": 0.0001998348779989485, + "loss": 0.8153, + "step": 63 + }, + { + "epoch": 0.07, + "grad_norm": 0.05069264769554138, + "learning_rate": 0.00019982858999434034, + "loss": 0.6319, + "step": 64 + }, + { + "epoch": 0.07, + "grad_norm": 0.0459558442234993, + "learning_rate": 0.00019982218459255635, + "loss": 0.7189, + "step": 65 + }, + { + "epoch": 0.07, + "grad_norm": 0.054699912667274475, + "learning_rate": 0.00019981566180112917, + "loss": 0.7845, + "step": 66 + }, + { + "epoch": 0.07, + "grad_norm": 0.045664116740226746, + "learning_rate": 0.0001998090216277295, + "loss": 0.7308, + "step": 67 + }, + { + "epoch": 0.07, + "grad_norm": 0.046552181243896484, + "learning_rate": 0.0001998022640801662, + "loss": 0.6392, + "step": 68 + }, + { + "epoch": 0.07, + "grad_norm": 0.048938997089862823, + "learning_rate": 0.00019979538916638597, + "loss": 0.7591, + "step": 69 + }, + { + "epoch": 0.07, + "grad_norm": 0.051963839679956436, + "learning_rate": 0.00019978839689447365, + "loss": 0.7054, + "step": 70 + }, + { + "epoch": 0.07, + "grad_norm": 0.05242505297064781, + "learning_rate": 0.00019978128727265207, + "loss": 0.7467, + "step": 71 + }, + { + "epoch": 0.07, + "grad_norm": 0.04921518638730049, + "learning_rate": 0.00019977406030928204, + "loss": 0.7793, + "step": 72 + }, + { + "epoch": 0.08, + "grad_norm": 0.052262112498283386, + "learning_rate": 0.00019976671601286237, + "loss": 0.7193, + "step": 73 + }, + { + "epoch": 0.08, + "grad_norm": 0.053219135850667953, + "learning_rate": 0.0001997592543920299, + "loss": 0.7483, + "step": 74 + }, + { + "epoch": 0.08, + "grad_norm": 0.049095865339040756, + "learning_rate": 0.00019975167545555942, + "loss": 0.7544, + "step": 75 + }, + { + "epoch": 0.08, + "grad_norm": 0.052104122936725616, + "learning_rate": 0.0001997439792123636, + "loss": 0.7227, + "step": 76 + }, + { + "epoch": 0.08, + "grad_norm": 0.05156683921813965, + "learning_rate": 0.00019973616567149313, + "loss": 0.7752, + "step": 77 + }, + { + "epoch": 0.08, + "grad_norm": 0.050344448536634445, + "learning_rate": 0.00019972823484213669, + "loss": 0.7515, + "step": 78 + }, + { + "epoch": 0.08, + "grad_norm": 0.04634309560060501, + "learning_rate": 0.00019972018673362077, + "loss": 0.7709, + "step": 79 + }, + { + "epoch": 0.08, + "grad_norm": 0.05174633115530014, + "learning_rate": 0.00019971202135540993, + "loss": 0.7293, + "step": 80 + }, + { + "epoch": 0.08, + "grad_norm": 0.05256710946559906, + "learning_rate": 0.00019970373871710647, + "loss": 0.7085, + "step": 81 + }, + { + "epoch": 0.08, + "grad_norm": 0.07102134823799133, + "learning_rate": 0.00019969533882845076, + "loss": 0.668, + "step": 82 + }, + { + "epoch": 0.09, + "grad_norm": 0.05783531814813614, + "learning_rate": 0.00019968682169932083, + "loss": 0.7066, + "step": 83 + }, + { + "epoch": 0.09, + "grad_norm": 0.04908255860209465, + "learning_rate": 0.00019967818733973287, + "loss": 0.7456, + "step": 84 + }, + { + "epoch": 0.09, + "grad_norm": 0.04938043653964996, + "learning_rate": 0.00019966943575984068, + "loss": 0.7156, + "step": 85 + }, + { + "epoch": 0.09, + "grad_norm": 0.04811069369316101, + "learning_rate": 0.000199660566969936, + "loss": 0.7725, + "step": 86 + }, + { + "epoch": 0.09, + "grad_norm": 0.05829324200749397, + "learning_rate": 0.0001996515809804485, + "loss": 0.7384, + "step": 87 + }, + { + "epoch": 0.09, + "grad_norm": 0.05200457572937012, + "learning_rate": 0.00019964247780194548, + "loss": 0.7739, + "step": 88 + }, + { + "epoch": 0.09, + "grad_norm": 0.05518084019422531, + "learning_rate": 0.00019963325744513227, + "loss": 0.6794, + "step": 89 + }, + { + "epoch": 0.09, + "grad_norm": 0.07461239397525787, + "learning_rate": 0.00019962391992085185, + "loss": 0.7231, + "step": 90 + }, + { + "epoch": 0.09, + "grad_norm": 0.04882181063294411, + "learning_rate": 0.00019961446524008504, + "loss": 0.7539, + "step": 91 + }, + { + "epoch": 0.09, + "grad_norm": 0.05256763473153114, + "learning_rate": 0.0001996048934139504, + "loss": 0.7796, + "step": 92 + }, + { + "epoch": 0.1, + "grad_norm": 0.04832598939538002, + "learning_rate": 0.0001995952044537043, + "loss": 0.8047, + "step": 93 + }, + { + "epoch": 0.1, + "grad_norm": 0.05217672884464264, + "learning_rate": 0.00019958539837074084, + "loss": 0.7766, + "step": 94 + }, + { + "epoch": 0.1, + "grad_norm": 0.049672115594148636, + "learning_rate": 0.00019957547517659183, + "loss": 0.7328, + "step": 95 + }, + { + "epoch": 0.1, + "grad_norm": 0.0518164187669754, + "learning_rate": 0.00019956543488292686, + "loss": 0.6766, + "step": 96 + }, + { + "epoch": 0.1, + "grad_norm": 0.04681951552629471, + "learning_rate": 0.00019955527750155315, + "loss": 0.7647, + "step": 97 + }, + { + "epoch": 0.1, + "grad_norm": 0.048327744007110596, + "learning_rate": 0.0001995450030444157, + "loss": 0.7428, + "step": 98 + }, + { + "epoch": 0.1, + "grad_norm": 0.05234162509441376, + "learning_rate": 0.00019953461152359708, + "loss": 0.7551, + "step": 99 + }, + { + "epoch": 0.1, + "grad_norm": 0.04491112753748894, + "learning_rate": 0.0001995241029513176, + "loss": 0.6876, + "step": 100 + }, + { + "epoch": 0.1, + "grad_norm": 0.050490718334913254, + "learning_rate": 0.00019951347733993528, + "loss": 0.832, + "step": 101 + }, + { + "epoch": 0.11, + "grad_norm": 0.05716025456786156, + "learning_rate": 0.00019950273470194566, + "loss": 0.7393, + "step": 102 + }, + { + "epoch": 0.11, + "grad_norm": 0.048837609589099884, + "learning_rate": 0.00019949187504998193, + "loss": 0.7305, + "step": 103 + }, + { + "epoch": 0.11, + "grad_norm": 0.04992825165390968, + "learning_rate": 0.00019948089839681493, + "loss": 0.7371, + "step": 104 + }, + { + "epoch": 0.11, + "grad_norm": 0.05300760269165039, + "learning_rate": 0.00019946980475535307, + "loss": 0.7529, + "step": 105 + }, + { + "epoch": 0.11, + "grad_norm": 0.049852970987558365, + "learning_rate": 0.0001994585941386423, + "loss": 0.7111, + "step": 106 + }, + { + "epoch": 0.11, + "grad_norm": 0.05310487747192383, + "learning_rate": 0.0001994472665598662, + "loss": 0.6912, + "step": 107 + }, + { + "epoch": 0.11, + "grad_norm": 0.05248330160975456, + "learning_rate": 0.00019943582203234584, + "loss": 0.7445, + "step": 108 + }, + { + "epoch": 0.11, + "grad_norm": 0.05639020353555679, + "learning_rate": 0.00019942426056953987, + "loss": 0.7556, + "step": 109 + }, + { + "epoch": 0.11, + "grad_norm": 0.050534311681985855, + "learning_rate": 0.00019941258218504436, + "loss": 0.7028, + "step": 110 + }, + { + "epoch": 0.11, + "grad_norm": 0.05137235298752785, + "learning_rate": 0.00019940078689259305, + "loss": 0.7306, + "step": 111 + }, + { + "epoch": 0.12, + "grad_norm": 0.05214603245258331, + "learning_rate": 0.00019938887470605698, + "loss": 0.7153, + "step": 112 + }, + { + "epoch": 0.12, + "grad_norm": 0.05015432462096214, + "learning_rate": 0.00019937684563944475, + "loss": 0.7393, + "step": 113 + }, + { + "epoch": 0.12, + "grad_norm": 0.05170932784676552, + "learning_rate": 0.0001993646997069024, + "loss": 0.7947, + "step": 114 + }, + { + "epoch": 0.12, + "grad_norm": 0.050847794860601425, + "learning_rate": 0.00019935243692271337, + "loss": 0.7787, + "step": 115 + }, + { + "epoch": 0.12, + "grad_norm": 0.04788447543978691, + "learning_rate": 0.00019934005730129858, + "loss": 0.714, + "step": 116 + }, + { + "epoch": 0.12, + "grad_norm": 0.05097344517707825, + "learning_rate": 0.00019932756085721629, + "loss": 0.8083, + "step": 117 + }, + { + "epoch": 0.12, + "grad_norm": 0.04976595938205719, + "learning_rate": 0.00019931494760516217, + "loss": 0.8157, + "step": 118 + }, + { + "epoch": 0.12, + "grad_norm": 0.04821658134460449, + "learning_rate": 0.0001993022175599692, + "loss": 0.6772, + "step": 119 + }, + { + "epoch": 0.12, + "grad_norm": 0.054969336837530136, + "learning_rate": 0.00019928937073660782, + "loss": 0.7019, + "step": 120 + }, + { + "epoch": 0.12, + "grad_norm": 0.05310753360390663, + "learning_rate": 0.0001992764071501857, + "loss": 0.7266, + "step": 121 + }, + { + "epoch": 0.13, + "grad_norm": 0.04759340360760689, + "learning_rate": 0.00019926332681594787, + "loss": 0.7549, + "step": 122 + }, + { + "epoch": 0.13, + "grad_norm": 0.05405697599053383, + "learning_rate": 0.00019925012974927664, + "loss": 0.7416, + "step": 123 + }, + { + "epoch": 0.13, + "grad_norm": 0.07087159901857376, + "learning_rate": 0.0001992368159656916, + "loss": 0.7354, + "step": 124 + }, + { + "epoch": 0.13, + "grad_norm": 0.05469256639480591, + "learning_rate": 0.00019922338548084955, + "loss": 0.7082, + "step": 125 + }, + { + "epoch": 0.13, + "grad_norm": 0.05295870825648308, + "learning_rate": 0.00019920983831054462, + "loss": 0.7852, + "step": 126 + }, + { + "epoch": 0.13, + "grad_norm": 0.05017589032649994, + "learning_rate": 0.0001991961744707081, + "loss": 0.7362, + "step": 127 + }, + { + "epoch": 0.13, + "grad_norm": 0.052979759871959686, + "learning_rate": 0.0001991823939774085, + "loss": 0.7946, + "step": 128 + }, + { + "epoch": 0.13, + "grad_norm": 0.053128018975257874, + "learning_rate": 0.00019916849684685148, + "loss": 0.7697, + "step": 129 + }, + { + "epoch": 0.13, + "grad_norm": 0.05207785964012146, + "learning_rate": 0.00019915448309537994, + "loss": 0.7327, + "step": 130 + }, + { + "epoch": 0.14, + "grad_norm": 0.05230351909995079, + "learning_rate": 0.00019914035273947383, + "loss": 0.73, + "step": 131 + }, + { + "epoch": 0.14, + "grad_norm": 0.049084827303886414, + "learning_rate": 0.0001991261057957503, + "loss": 0.7928, + "step": 132 + }, + { + "epoch": 0.14, + "grad_norm": 0.05596386641263962, + "learning_rate": 0.00019911174228096355, + "loss": 0.7639, + "step": 133 + }, + { + "epoch": 0.14, + "grad_norm": 0.052596963942050934, + "learning_rate": 0.00019909726221200495, + "loss": 0.6955, + "step": 134 + }, + { + "epoch": 0.14, + "grad_norm": 0.05625372752547264, + "learning_rate": 0.00019908266560590283, + "loss": 0.7469, + "step": 135 + }, + { + "epoch": 0.14, + "grad_norm": 0.05166260153055191, + "learning_rate": 0.00019906795247982264, + "loss": 0.7589, + "step": 136 + }, + { + "epoch": 0.14, + "grad_norm": 0.052134498953819275, + "learning_rate": 0.0001990531228510668, + "loss": 0.7128, + "step": 137 + }, + { + "epoch": 0.14, + "grad_norm": 0.051448870450258255, + "learning_rate": 0.0001990381767370748, + "loss": 0.7148, + "step": 138 + }, + { + "epoch": 0.14, + "grad_norm": 0.053590189665555954, + "learning_rate": 0.00019902311415542307, + "loss": 0.7676, + "step": 139 + }, + { + "epoch": 0.14, + "grad_norm": 0.05264313891530037, + "learning_rate": 0.00019900793512382504, + "loss": 0.7393, + "step": 140 + }, + { + "epoch": 0.15, + "grad_norm": 0.05209501087665558, + "learning_rate": 0.00019899263966013106, + "loss": 0.7095, + "step": 141 + }, + { + "epoch": 0.15, + "grad_norm": 0.050406355410814285, + "learning_rate": 0.00019897722778232838, + "loss": 0.7533, + "step": 142 + }, + { + "epoch": 0.15, + "grad_norm": 0.053870897740125656, + "learning_rate": 0.00019896169950854117, + "loss": 0.7563, + "step": 143 + }, + { + "epoch": 0.15, + "grad_norm": 0.06269948929548264, + "learning_rate": 0.00019894605485703051, + "loss": 0.795, + "step": 144 + }, + { + "epoch": 0.15, + "grad_norm": 0.05105578899383545, + "learning_rate": 0.00019893029384619428, + "loss": 0.7268, + "step": 145 + }, + { + "epoch": 0.15, + "grad_norm": 0.049749474972486496, + "learning_rate": 0.0001989144164945673, + "loss": 0.6783, + "step": 146 + }, + { + "epoch": 0.15, + "grad_norm": 0.051559630781412125, + "learning_rate": 0.00019889842282082109, + "loss": 0.7204, + "step": 147 + }, + { + "epoch": 0.15, + "grad_norm": 0.051908280700445175, + "learning_rate": 0.00019888231284376402, + "loss": 0.7048, + "step": 148 + }, + { + "epoch": 0.15, + "grad_norm": 0.05648699402809143, + "learning_rate": 0.0001988660865823412, + "loss": 0.7145, + "step": 149 + }, + { + "epoch": 0.15, + "grad_norm": 0.05817189812660217, + "learning_rate": 0.00019884974405563454, + "loss": 0.6883, + "step": 150 + }, + { + "epoch": 0.16, + "grad_norm": 0.05215545743703842, + "learning_rate": 0.0001988332852828626, + "loss": 0.7226, + "step": 151 + }, + { + "epoch": 0.16, + "grad_norm": 0.05281899496912956, + "learning_rate": 0.0001988167102833808, + "loss": 0.7174, + "step": 152 + }, + { + "epoch": 0.16, + "grad_norm": 0.05761328712105751, + "learning_rate": 0.00019880001907668102, + "loss": 0.7779, + "step": 153 + }, + { + "epoch": 0.16, + "grad_norm": 0.05430774390697479, + "learning_rate": 0.00019878321168239195, + "loss": 0.7061, + "step": 154 + }, + { + "epoch": 0.16, + "grad_norm": 0.05135492607951164, + "learning_rate": 0.0001987662881202789, + "loss": 0.7317, + "step": 155 + }, + { + "epoch": 0.16, + "grad_norm": 0.05098530277609825, + "learning_rate": 0.00019874924841024373, + "loss": 0.7592, + "step": 156 + }, + { + "epoch": 0.16, + "grad_norm": 0.051871709525585175, + "learning_rate": 0.00019873209257232494, + "loss": 0.8104, + "step": 157 + }, + { + "epoch": 0.16, + "grad_norm": 0.0578281544148922, + "learning_rate": 0.0001987148206266976, + "loss": 0.7072, + "step": 158 + }, + { + "epoch": 0.16, + "grad_norm": 0.05245187506079674, + "learning_rate": 0.00019869743259367327, + "loss": 0.7621, + "step": 159 + }, + { + "epoch": 0.16, + "grad_norm": 0.05832192674279213, + "learning_rate": 0.00019867992849370008, + "loss": 0.7617, + "step": 160 + }, + { + "epoch": 0.17, + "grad_norm": 0.0534343346953392, + "learning_rate": 0.00019866230834736262, + "loss": 0.7869, + "step": 161 + }, + { + "epoch": 0.17, + "grad_norm": 0.061366647481918335, + "learning_rate": 0.00019864457217538196, + "loss": 0.7412, + "step": 162 + }, + { + "epoch": 0.17, + "grad_norm": 0.05365344136953354, + "learning_rate": 0.00019862671999861567, + "loss": 0.6683, + "step": 163 + }, + { + "epoch": 0.17, + "grad_norm": 0.05422106385231018, + "learning_rate": 0.0001986087518380576, + "loss": 0.7618, + "step": 164 + }, + { + "epoch": 0.17, + "grad_norm": 0.05549204722046852, + "learning_rate": 0.00019859066771483815, + "loss": 0.7674, + "step": 165 + }, + { + "epoch": 0.17, + "grad_norm": 0.053906746208667755, + "learning_rate": 0.000198572467650224, + "loss": 0.8516, + "step": 166 + }, + { + "epoch": 0.17, + "grad_norm": 0.05335883051156998, + "learning_rate": 0.0001985541516656182, + "loss": 0.7301, + "step": 167 + }, + { + "epoch": 0.17, + "grad_norm": 0.056282807141542435, + "learning_rate": 0.00019853571978256014, + "loss": 0.723, + "step": 168 + }, + { + "epoch": 0.17, + "grad_norm": 0.0541800893843174, + "learning_rate": 0.0001985171720227254, + "loss": 0.7342, + "step": 169 + }, + { + "epoch": 0.18, + "grad_norm": 0.053833167999982834, + "learning_rate": 0.00019849850840792605, + "loss": 0.742, + "step": 170 + }, + { + "epoch": 0.18, + "grad_norm": 0.0539311021566391, + "learning_rate": 0.00019847972896011012, + "loss": 0.733, + "step": 171 + }, + { + "epoch": 0.18, + "grad_norm": 0.055201999843120575, + "learning_rate": 0.00019846083370136217, + "loss": 0.7608, + "step": 172 + }, + { + "epoch": 0.18, + "grad_norm": 0.05684024840593338, + "learning_rate": 0.00019844182265390265, + "loss": 0.7475, + "step": 173 + }, + { + "epoch": 0.18, + "grad_norm": 0.05470721423625946, + "learning_rate": 0.00019842269584008837, + "loss": 0.7758, + "step": 174 + }, + { + "epoch": 0.18, + "grad_norm": 0.05426143482327461, + "learning_rate": 0.00019840345328241222, + "loss": 0.8154, + "step": 175 + }, + { + "epoch": 0.18, + "grad_norm": 0.05676954984664917, + "learning_rate": 0.00019838409500350318, + "loss": 0.6831, + "step": 176 + }, + { + "epoch": 0.18, + "grad_norm": 0.06125069782137871, + "learning_rate": 0.0001983646210261264, + "loss": 0.8139, + "step": 177 + }, + { + "epoch": 0.18, + "grad_norm": 0.055671993643045425, + "learning_rate": 0.000198345031373183, + "loss": 0.7354, + "step": 178 + }, + { + "epoch": 0.18, + "grad_norm": 0.05255590006709099, + "learning_rate": 0.00019832532606771017, + "loss": 0.772, + "step": 179 + }, + { + "epoch": 0.19, + "grad_norm": 0.05209804326295853, + "learning_rate": 0.0001983055051328811, + "loss": 0.702, + "step": 180 + }, + { + "epoch": 0.19, + "grad_norm": 0.051347844302654266, + "learning_rate": 0.000198285568592005, + "loss": 0.7941, + "step": 181 + }, + { + "epoch": 0.19, + "grad_norm": 0.049175627529621124, + "learning_rate": 0.00019826551646852692, + "loss": 0.7156, + "step": 182 + }, + { + "epoch": 0.19, + "grad_norm": 0.06953848898410797, + "learning_rate": 0.000198245348786028, + "loss": 0.6817, + "step": 183 + }, + { + "epoch": 0.19, + "grad_norm": 0.05407484620809555, + "learning_rate": 0.00019822506556822506, + "loss": 0.7818, + "step": 184 + }, + { + "epoch": 0.19, + "grad_norm": 0.053331997245550156, + "learning_rate": 0.00019820466683897103, + "loss": 0.721, + "step": 185 + }, + { + "epoch": 0.19, + "grad_norm": 0.05798467993736267, + "learning_rate": 0.0001981841526222545, + "loss": 0.7407, + "step": 186 + }, + { + "epoch": 0.19, + "grad_norm": 0.05653946474194527, + "learning_rate": 0.00019816352294219994, + "loss": 0.7092, + "step": 187 + }, + { + "epoch": 0.19, + "grad_norm": 0.05470096692442894, + "learning_rate": 0.0001981427778230676, + "loss": 0.7337, + "step": 188 + }, + { + "epoch": 0.19, + "grad_norm": 0.06434475630521774, + "learning_rate": 0.0001981219172892535, + "loss": 0.6977, + "step": 189 + }, + { + "epoch": 0.2, + "grad_norm": 0.052794575691223145, + "learning_rate": 0.00019810094136528934, + "loss": 0.7601, + "step": 190 + }, + { + "epoch": 0.2, + "grad_norm": 0.05482126399874687, + "learning_rate": 0.00019807985007584255, + "loss": 0.7619, + "step": 191 + }, + { + "epoch": 0.2, + "grad_norm": 0.06532236188650131, + "learning_rate": 0.00019805864344571626, + "loss": 0.7934, + "step": 192 + }, + { + "epoch": 0.2, + "grad_norm": 0.0744403600692749, + "learning_rate": 0.00019803732149984912, + "loss": 0.6666, + "step": 193 + }, + { + "epoch": 0.2, + "grad_norm": 0.05643633008003235, + "learning_rate": 0.00019801588426331557, + "loss": 0.7519, + "step": 194 + }, + { + "epoch": 0.2, + "grad_norm": 0.05338543280959129, + "learning_rate": 0.00019799433176132544, + "loss": 0.7072, + "step": 195 + }, + { + "epoch": 0.2, + "grad_norm": 0.05368245020508766, + "learning_rate": 0.00019797266401922427, + "loss": 0.7325, + "step": 196 + }, + { + "epoch": 0.2, + "grad_norm": 0.05443282797932625, + "learning_rate": 0.00019795088106249305, + "loss": 0.8166, + "step": 197 + }, + { + "epoch": 0.2, + "grad_norm": 0.052494440227746964, + "learning_rate": 0.00019792898291674823, + "loss": 0.7339, + "step": 198 + }, + { + "epoch": 0.21, + "grad_norm": 0.06454979628324509, + "learning_rate": 0.0001979069696077418, + "loss": 0.803, + "step": 199 + }, + { + "epoch": 0.21, + "grad_norm": 0.054398063570261, + "learning_rate": 0.00019788484116136108, + "loss": 0.7857, + "step": 200 + }, + { + "epoch": 0.21, + "grad_norm": 0.05177140235900879, + "learning_rate": 0.0001978625976036289, + "loss": 0.7605, + "step": 201 + }, + { + "epoch": 0.21, + "grad_norm": 0.05473088100552559, + "learning_rate": 0.00019784023896070337, + "loss": 0.7145, + "step": 202 + }, + { + "epoch": 0.21, + "grad_norm": 0.06038124859333038, + "learning_rate": 0.00019781776525887797, + "loss": 0.7154, + "step": 203 + }, + { + "epoch": 0.21, + "grad_norm": 0.054728008806705475, + "learning_rate": 0.00019779517652458156, + "loss": 0.7575, + "step": 204 + }, + { + "epoch": 0.21, + "grad_norm": 0.05367952585220337, + "learning_rate": 0.0001977724727843781, + "loss": 0.7259, + "step": 205 + }, + { + "epoch": 0.21, + "grad_norm": 0.056090373545885086, + "learning_rate": 0.00019774965406496703, + "loss": 0.796, + "step": 206 + }, + { + "epoch": 0.21, + "grad_norm": 0.056659117341041565, + "learning_rate": 0.00019772672039318278, + "loss": 0.7572, + "step": 207 + }, + { + "epoch": 0.21, + "grad_norm": 0.061686623841524124, + "learning_rate": 0.0001977036717959951, + "loss": 0.7514, + "step": 208 + }, + { + "epoch": 0.22, + "grad_norm": 0.05229324847459793, + "learning_rate": 0.00019768050830050888, + "loss": 0.7923, + "step": 209 + }, + { + "epoch": 0.22, + "grad_norm": 0.05652037635445595, + "learning_rate": 0.00019765722993396402, + "loss": 0.7452, + "step": 210 + }, + { + "epoch": 0.22, + "grad_norm": 0.0566401481628418, + "learning_rate": 0.00019763383672373566, + "loss": 0.6641, + "step": 211 + }, + { + "epoch": 0.22, + "grad_norm": 0.061378199607133865, + "learning_rate": 0.00019761032869733395, + "loss": 0.7042, + "step": 212 + }, + { + "epoch": 0.22, + "grad_norm": 0.05892565846443176, + "learning_rate": 0.00019758670588240396, + "loss": 0.7209, + "step": 213 + }, + { + "epoch": 0.22, + "grad_norm": 0.054732099175453186, + "learning_rate": 0.00019756296830672585, + "loss": 0.7396, + "step": 214 + }, + { + "epoch": 0.22, + "grad_norm": 0.053043294697999954, + "learning_rate": 0.0001975391159982147, + "loss": 0.7441, + "step": 215 + }, + { + "epoch": 0.22, + "grad_norm": 0.058401089161634445, + "learning_rate": 0.00019751514898492056, + "loss": 0.7553, + "step": 216 + }, + { + "epoch": 0.22, + "grad_norm": 0.05779936537146568, + "learning_rate": 0.0001974910672950283, + "loss": 0.6659, + "step": 217 + }, + { + "epoch": 0.22, + "grad_norm": 0.0589526928961277, + "learning_rate": 0.00019746687095685775, + "loss": 0.7177, + "step": 218 + }, + { + "epoch": 0.23, + "grad_norm": 0.05505611002445221, + "learning_rate": 0.00019744255999886345, + "loss": 0.702, + "step": 219 + }, + { + "epoch": 0.23, + "grad_norm": 0.053444795310497284, + "learning_rate": 0.00019741813444963476, + "loss": 0.7458, + "step": 220 + }, + { + "epoch": 0.23, + "grad_norm": 0.05537053942680359, + "learning_rate": 0.0001973935943378959, + "loss": 0.7178, + "step": 221 + }, + { + "epoch": 0.23, + "grad_norm": 0.05319499969482422, + "learning_rate": 0.00019736893969250568, + "loss": 0.6376, + "step": 222 + }, + { + "epoch": 0.23, + "grad_norm": 0.05316654592752457, + "learning_rate": 0.0001973441705424577, + "loss": 0.7649, + "step": 223 + }, + { + "epoch": 0.23, + "grad_norm": 0.06086993217468262, + "learning_rate": 0.00019731928691688006, + "loss": 0.7171, + "step": 224 + }, + { + "epoch": 0.23, + "grad_norm": 0.058167632669210434, + "learning_rate": 0.0001972942888450357, + "loss": 0.7636, + "step": 225 + }, + { + "epoch": 0.23, + "grad_norm": 0.057685092091560364, + "learning_rate": 0.00019726917635632204, + "loss": 0.7487, + "step": 226 + }, + { + "epoch": 0.23, + "grad_norm": 0.056136585772037506, + "learning_rate": 0.000197243949480271, + "loss": 0.7456, + "step": 227 + }, + { + "epoch": 0.24, + "grad_norm": 0.052869562059640884, + "learning_rate": 0.0001972186082465491, + "loss": 0.693, + "step": 228 + }, + { + "epoch": 0.24, + "grad_norm": 0.05286895111203194, + "learning_rate": 0.0001971931526849573, + "loss": 0.713, + "step": 229 + }, + { + "epoch": 0.24, + "grad_norm": 0.05643904581665993, + "learning_rate": 0.00019716758282543106, + "loss": 0.7467, + "step": 230 + }, + { + "epoch": 0.24, + "grad_norm": 0.05756821483373642, + "learning_rate": 0.00019714189869804018, + "loss": 0.675, + "step": 231 + }, + { + "epoch": 0.24, + "grad_norm": 0.05546725168824196, + "learning_rate": 0.00019711610033298888, + "loss": 0.7998, + "step": 232 + }, + { + "epoch": 0.24, + "grad_norm": 0.06143364682793617, + "learning_rate": 0.0001970901877606157, + "loss": 0.728, + "step": 233 + }, + { + "epoch": 0.24, + "grad_norm": 0.06431245058774948, + "learning_rate": 0.00019706416101139353, + "loss": 0.7068, + "step": 234 + }, + { + "epoch": 0.24, + "grad_norm": 0.054505374282598495, + "learning_rate": 0.0001970380201159295, + "loss": 0.6696, + "step": 235 + }, + { + "epoch": 0.24, + "grad_norm": 0.054913364350795746, + "learning_rate": 0.00019701176510496495, + "loss": 0.7246, + "step": 236 + }, + { + "epoch": 0.24, + "grad_norm": 0.06259609013795853, + "learning_rate": 0.0001969853960093755, + "loss": 0.7613, + "step": 237 + }, + { + "epoch": 0.25, + "grad_norm": 0.0802953839302063, + "learning_rate": 0.00019695891286017082, + "loss": 0.7843, + "step": 238 + }, + { + "epoch": 0.25, + "grad_norm": 0.054023925215005875, + "learning_rate": 0.00019693231568849475, + "loss": 0.7848, + "step": 239 + }, + { + "epoch": 0.25, + "grad_norm": 0.05291634425520897, + "learning_rate": 0.0001969056045256253, + "loss": 0.5979, + "step": 240 + }, + { + "epoch": 0.25, + "grad_norm": 0.052885495126247406, + "learning_rate": 0.00019687877940297442, + "loss": 0.715, + "step": 241 + }, + { + "epoch": 0.25, + "grad_norm": 0.054459016770124435, + "learning_rate": 0.00019685184035208813, + "loss": 0.7413, + "step": 242 + }, + { + "epoch": 0.25, + "grad_norm": 0.058789074420928955, + "learning_rate": 0.0001968247874046464, + "loss": 0.7637, + "step": 243 + }, + { + "epoch": 0.25, + "eval_loss": 0.8141337633132935, + "eval_runtime": 111.9734, + "eval_samples_per_second": 88.753, + "eval_steps_per_second": 22.193, + "step": 243 + }, + { + "epoch": 0.25, + "grad_norm": 0.054029788821935654, + "learning_rate": 0.0001967976205924632, + "loss": 0.7184, + "step": 244 + }, + { + "epoch": 0.25, + "grad_norm": 0.055858369916677475, + "learning_rate": 0.00019677033994748631, + "loss": 0.7238, + "step": 245 + }, + { + "epoch": 0.25, + "grad_norm": 0.05345359072089195, + "learning_rate": 0.0001967429455017975, + "loss": 0.6889, + "step": 246 + }, + { + "epoch": 0.25, + "grad_norm": 0.06066269427537918, + "learning_rate": 0.00019671543728761224, + "loss": 0.8698, + "step": 247 + }, + { + "epoch": 0.26, + "grad_norm": 0.058042511343955994, + "learning_rate": 0.00019668781533727984, + "loss": 0.6563, + "step": 248 + }, + { + "epoch": 0.26, + "grad_norm": 0.056662410497665405, + "learning_rate": 0.00019666007968328336, + "loss": 0.6852, + "step": 249 + }, + { + "epoch": 0.26, + "grad_norm": 0.05772121623158455, + "learning_rate": 0.00019663223035823964, + "loss": 0.7117, + "step": 250 + }, + { + "epoch": 0.26, + "grad_norm": 0.0612647645175457, + "learning_rate": 0.00019660426739489913, + "loss": 0.7662, + "step": 251 + }, + { + "epoch": 0.26, + "grad_norm": 0.06314199417829514, + "learning_rate": 0.00019657619082614586, + "loss": 0.7101, + "step": 252 + }, + { + "epoch": 0.26, + "grad_norm": 0.05658784881234169, + "learning_rate": 0.0001965480006849976, + "loss": 0.7685, + "step": 253 + }, + { + "epoch": 0.26, + "grad_norm": 0.05959884822368622, + "learning_rate": 0.00019651969700460557, + "loss": 0.7267, + "step": 254 + }, + { + "epoch": 0.26, + "grad_norm": 0.058939650654792786, + "learning_rate": 0.00019649127981825456, + "loss": 0.6825, + "step": 255 + }, + { + "epoch": 0.26, + "grad_norm": 0.060037851333618164, + "learning_rate": 0.00019646274915936278, + "loss": 0.7476, + "step": 256 + }, + { + "epoch": 0.27, + "grad_norm": 0.06029137596487999, + "learning_rate": 0.00019643410506148197, + "loss": 0.7497, + "step": 257 + }, + { + "epoch": 0.27, + "grad_norm": 0.05577164515852928, + "learning_rate": 0.00019640534755829725, + "loss": 0.7159, + "step": 258 + }, + { + "epoch": 0.27, + "grad_norm": 0.05618567392230034, + "learning_rate": 0.00019637647668362704, + "loss": 0.7257, + "step": 259 + }, + { + "epoch": 0.27, + "grad_norm": 0.06020184978842735, + "learning_rate": 0.00019634749247142313, + "loss": 0.6776, + "step": 260 + }, + { + "epoch": 0.27, + "grad_norm": 0.06419654935598373, + "learning_rate": 0.00019631839495577066, + "loss": 0.6984, + "step": 261 + }, + { + "epoch": 0.27, + "grad_norm": 0.057507649064064026, + "learning_rate": 0.00019628918417088784, + "loss": 0.6914, + "step": 262 + }, + { + "epoch": 0.27, + "grad_norm": 0.05764051154255867, + "learning_rate": 0.00019625986015112628, + "loss": 0.7786, + "step": 263 + }, + { + "epoch": 0.27, + "grad_norm": 0.056871023029088974, + "learning_rate": 0.0001962304229309706, + "loss": 0.7259, + "step": 264 + }, + { + "epoch": 0.27, + "grad_norm": 0.05893797427415848, + "learning_rate": 0.00019620087254503866, + "loss": 0.7435, + "step": 265 + }, + { + "epoch": 0.27, + "grad_norm": 0.0583423487842083, + "learning_rate": 0.00019617120902808125, + "loss": 0.7597, + "step": 266 + }, + { + "epoch": 0.28, + "grad_norm": 0.058257438242435455, + "learning_rate": 0.00019614143241498242, + "loss": 0.6764, + "step": 267 + }, + { + "epoch": 0.28, + "grad_norm": 0.06315512955188751, + "learning_rate": 0.00019611154274075903, + "loss": 0.6298, + "step": 268 + }, + { + "epoch": 0.28, + "grad_norm": 0.06553982943296432, + "learning_rate": 0.00019608154004056093, + "loss": 0.6789, + "step": 269 + }, + { + "epoch": 0.28, + "grad_norm": 0.05806327983736992, + "learning_rate": 0.000196051424349671, + "loss": 0.7067, + "step": 270 + }, + { + "epoch": 0.28, + "grad_norm": 0.057144396007061005, + "learning_rate": 0.00019602119570350483, + "loss": 0.6802, + "step": 271 + }, + { + "epoch": 0.28, + "grad_norm": 0.05949268490076065, + "learning_rate": 0.000195990854137611, + "loss": 0.7046, + "step": 272 + }, + { + "epoch": 0.28, + "grad_norm": 0.05610249564051628, + "learning_rate": 0.0001959603996876708, + "loss": 0.7682, + "step": 273 + }, + { + "epoch": 0.28, + "grad_norm": 0.056379836052656174, + "learning_rate": 0.00019592983238949824, + "loss": 0.714, + "step": 274 + }, + { + "epoch": 0.28, + "grad_norm": 0.05497708171606064, + "learning_rate": 0.00019589915227904016, + "loss": 0.6559, + "step": 275 + }, + { + "epoch": 0.28, + "grad_norm": 0.06712428480386734, + "learning_rate": 0.0001958683593923759, + "loss": 0.772, + "step": 276 + }, + { + "epoch": 0.29, + "grad_norm": 0.054381344467401505, + "learning_rate": 0.00019583745376571755, + "loss": 0.7686, + "step": 277 + }, + { + "epoch": 0.29, + "grad_norm": 0.059507984668016434, + "learning_rate": 0.00019580643543540976, + "loss": 0.7504, + "step": 278 + }, + { + "epoch": 0.29, + "grad_norm": 0.06055927649140358, + "learning_rate": 0.00019577530443792967, + "loss": 0.7746, + "step": 279 + }, + { + "epoch": 0.29, + "grad_norm": 0.05875448137521744, + "learning_rate": 0.00019574406080988697, + "loss": 0.7587, + "step": 280 + }, + { + "epoch": 0.29, + "grad_norm": 0.05514727905392647, + "learning_rate": 0.00019571270458802373, + "loss": 0.7401, + "step": 281 + }, + { + "epoch": 0.29, + "grad_norm": 0.05958930030465126, + "learning_rate": 0.00019568123580921453, + "loss": 0.7265, + "step": 282 + }, + { + "epoch": 0.29, + "grad_norm": 0.05936933308839798, + "learning_rate": 0.00019564965451046625, + "loss": 0.7312, + "step": 283 + }, + { + "epoch": 0.29, + "grad_norm": 0.06500967592000961, + "learning_rate": 0.00019561796072891806, + "loss": 0.744, + "step": 284 + }, + { + "epoch": 0.29, + "grad_norm": 0.05779334157705307, + "learning_rate": 0.0001955861545018415, + "loss": 0.7134, + "step": 285 + }, + { + "epoch": 0.29, + "grad_norm": 0.05654512718319893, + "learning_rate": 0.00019555423586664028, + "loss": 0.7576, + "step": 286 + }, + { + "epoch": 0.3, + "grad_norm": 0.08160107582807541, + "learning_rate": 0.00019552220486085032, + "loss": 0.7471, + "step": 287 + }, + { + "epoch": 0.3, + "grad_norm": 0.05500080808997154, + "learning_rate": 0.0001954900615221397, + "loss": 0.7135, + "step": 288 + }, + { + "epoch": 0.3, + "grad_norm": 0.05892986059188843, + "learning_rate": 0.00019545780588830854, + "loss": 0.7841, + "step": 289 + }, + { + "epoch": 0.3, + "grad_norm": 0.05923021584749222, + "learning_rate": 0.00019542543799728907, + "loss": 0.7111, + "step": 290 + }, + { + "epoch": 0.3, + "grad_norm": 0.059189844876527786, + "learning_rate": 0.00019539295788714554, + "loss": 0.7892, + "step": 291 + }, + { + "epoch": 0.3, + "grad_norm": 0.0577772781252861, + "learning_rate": 0.00019536036559607417, + "loss": 0.773, + "step": 292 + }, + { + "epoch": 0.3, + "grad_norm": 0.06281998008489609, + "learning_rate": 0.0001953276611624031, + "loss": 0.791, + "step": 293 + }, + { + "epoch": 0.3, + "grad_norm": 0.061750974506139755, + "learning_rate": 0.00019529484462459226, + "loss": 0.7482, + "step": 294 + }, + { + "epoch": 0.3, + "grad_norm": 0.06235501915216446, + "learning_rate": 0.00019526191602123357, + "loss": 0.7399, + "step": 295 + }, + { + "epoch": 0.31, + "grad_norm": 0.057336192578077316, + "learning_rate": 0.00019522887539105064, + "loss": 0.7354, + "step": 296 + }, + { + "epoch": 0.31, + "grad_norm": 0.05565524473786354, + "learning_rate": 0.0001951957227728988, + "loss": 0.6847, + "step": 297 + }, + { + "epoch": 0.31, + "grad_norm": 0.06352953612804413, + "learning_rate": 0.00019516245820576513, + "loss": 0.7753, + "step": 298 + }, + { + "epoch": 0.31, + "grad_norm": 0.054871831089258194, + "learning_rate": 0.0001951290817287684, + "loss": 0.7619, + "step": 299 + }, + { + "epoch": 0.31, + "grad_norm": 0.05734177678823471, + "learning_rate": 0.00019509559338115883, + "loss": 0.7775, + "step": 300 + }, + { + "epoch": 0.31, + "grad_norm": 0.05894226208329201, + "learning_rate": 0.00019506199320231838, + "loss": 0.7182, + "step": 301 + }, + { + "epoch": 0.31, + "grad_norm": 0.05706853047013283, + "learning_rate": 0.00019502828123176043, + "loss": 0.795, + "step": 302 + }, + { + "epoch": 0.31, + "grad_norm": 0.06002698838710785, + "learning_rate": 0.00019499445750912982, + "loss": 0.8106, + "step": 303 + }, + { + "epoch": 0.31, + "grad_norm": 0.05632604658603668, + "learning_rate": 0.0001949605220742028, + "loss": 0.7415, + "step": 304 + }, + { + "epoch": 0.31, + "grad_norm": 0.05873245373368263, + "learning_rate": 0.00019492647496688705, + "loss": 0.7293, + "step": 305 + }, + { + "epoch": 0.32, + "grad_norm": 0.060128260403871536, + "learning_rate": 0.00019489231622722155, + "loss": 0.7364, + "step": 306 + }, + { + "epoch": 0.32, + "grad_norm": 0.05893580988049507, + "learning_rate": 0.00019485804589537654, + "loss": 0.7152, + "step": 307 + }, + { + "epoch": 0.32, + "grad_norm": 0.07257378846406937, + "learning_rate": 0.0001948236640116535, + "loss": 0.7262, + "step": 308 + }, + { + "epoch": 0.32, + "grad_norm": 0.057697609066963196, + "learning_rate": 0.0001947891706164851, + "loss": 0.6915, + "step": 309 + }, + { + "epoch": 0.32, + "grad_norm": 0.05808861181139946, + "learning_rate": 0.00019475456575043513, + "loss": 0.6977, + "step": 310 + }, + { + "epoch": 0.32, + "grad_norm": 0.060822539031505585, + "learning_rate": 0.0001947198494541985, + "loss": 0.7963, + "step": 311 + }, + { + "epoch": 0.32, + "grad_norm": 0.05885370075702667, + "learning_rate": 0.00019468502176860116, + "loss": 0.782, + "step": 312 + }, + { + "epoch": 0.32, + "grad_norm": 0.05855882540345192, + "learning_rate": 0.00019465008273459997, + "loss": 0.7248, + "step": 313 + }, + { + "epoch": 0.32, + "grad_norm": 0.06043313443660736, + "learning_rate": 0.00019461503239328283, + "loss": 0.7003, + "step": 314 + }, + { + "epoch": 0.32, + "grad_norm": 0.0554848350584507, + "learning_rate": 0.00019457987078586852, + "loss": 0.6923, + "step": 315 + }, + { + "epoch": 0.33, + "grad_norm": 0.05844718590378761, + "learning_rate": 0.00019454459795370665, + "loss": 0.7486, + "step": 316 + }, + { + "epoch": 0.33, + "grad_norm": 0.059286076575517654, + "learning_rate": 0.0001945092139382776, + "loss": 0.7273, + "step": 317 + }, + { + "epoch": 0.33, + "grad_norm": 0.07302168011665344, + "learning_rate": 0.00019447371878119257, + "loss": 0.7323, + "step": 318 + }, + { + "epoch": 0.33, + "grad_norm": 0.0687604621052742, + "learning_rate": 0.00019443811252419337, + "loss": 0.7803, + "step": 319 + }, + { + "epoch": 0.33, + "grad_norm": 0.057997170835733414, + "learning_rate": 0.00019440239520915258, + "loss": 0.7097, + "step": 320 + }, + { + "epoch": 0.33, + "grad_norm": 0.05903468281030655, + "learning_rate": 0.00019436656687807328, + "loss": 0.7934, + "step": 321 + }, + { + "epoch": 0.33, + "grad_norm": 0.06016958877444267, + "learning_rate": 0.00019433062757308914, + "loss": 0.6503, + "step": 322 + }, + { + "epoch": 0.33, + "grad_norm": 0.06088041886687279, + "learning_rate": 0.00019429457733646433, + "loss": 0.7536, + "step": 323 + }, + { + "epoch": 0.33, + "grad_norm": 0.057344887405633926, + "learning_rate": 0.00019425841621059347, + "loss": 0.6832, + "step": 324 + }, + { + "epoch": 0.34, + "grad_norm": 0.061634745448827744, + "learning_rate": 0.0001942221442380016, + "loss": 0.6935, + "step": 325 + }, + { + "epoch": 0.34, + "grad_norm": 0.06309819221496582, + "learning_rate": 0.00019418576146134419, + "loss": 0.7277, + "step": 326 + }, + { + "epoch": 0.34, + "grad_norm": 0.05775715038180351, + "learning_rate": 0.0001941492679234068, + "loss": 0.6798, + "step": 327 + }, + { + "epoch": 0.34, + "grad_norm": 0.05710741505026817, + "learning_rate": 0.00019411266366710543, + "loss": 0.6822, + "step": 328 + }, + { + "epoch": 0.34, + "grad_norm": 0.05784869194030762, + "learning_rate": 0.0001940759487354862, + "loss": 0.6763, + "step": 329 + }, + { + "epoch": 0.34, + "grad_norm": 0.05700847879052162, + "learning_rate": 0.0001940391231717255, + "loss": 0.6696, + "step": 330 + }, + { + "epoch": 0.34, + "grad_norm": 0.06073322892189026, + "learning_rate": 0.00019400218701912965, + "loss": 0.7032, + "step": 331 + }, + { + "epoch": 0.34, + "grad_norm": 0.06225202605128288, + "learning_rate": 0.00019396514032113513, + "loss": 0.7258, + "step": 332 + }, + { + "epoch": 0.34, + "grad_norm": 0.06155748292803764, + "learning_rate": 0.00019392798312130836, + "loss": 0.7372, + "step": 333 + }, + { + "epoch": 0.34, + "grad_norm": 0.06383652240037918, + "learning_rate": 0.00019389071546334585, + "loss": 0.7572, + "step": 334 + }, + { + "epoch": 0.35, + "grad_norm": 0.057412583380937576, + "learning_rate": 0.00019385333739107375, + "loss": 0.6642, + "step": 335 + }, + { + "epoch": 0.35, + "grad_norm": 0.061736416071653366, + "learning_rate": 0.00019381584894844834, + "loss": 0.7309, + "step": 336 + }, + { + "epoch": 0.35, + "grad_norm": 0.060744259506464005, + "learning_rate": 0.00019377825017955549, + "loss": 0.7161, + "step": 337 + }, + { + "epoch": 0.35, + "grad_norm": 0.05964282155036926, + "learning_rate": 0.00019374054112861089, + "loss": 0.7405, + "step": 338 + }, + { + "epoch": 0.35, + "grad_norm": 0.06293050944805145, + "learning_rate": 0.00019370272183995993, + "loss": 0.645, + "step": 339 + }, + { + "epoch": 0.35, + "grad_norm": 0.05713023245334625, + "learning_rate": 0.0001936647923580776, + "loss": 0.7232, + "step": 340 + }, + { + "epoch": 0.35, + "grad_norm": 0.05848432704806328, + "learning_rate": 0.0001936267527275685, + "loss": 0.735, + "step": 341 + }, + { + "epoch": 0.35, + "grad_norm": 0.05630767345428467, + "learning_rate": 0.00019358860299316678, + "loss": 0.7797, + "step": 342 + }, + { + "epoch": 0.35, + "grad_norm": 0.06115993112325668, + "learning_rate": 0.00019355034319973603, + "loss": 0.6872, + "step": 343 + }, + { + "epoch": 0.35, + "grad_norm": 0.06437361240386963, + "learning_rate": 0.00019351197339226935, + "loss": 0.7728, + "step": 344 + }, + { + "epoch": 0.36, + "grad_norm": 0.06171271950006485, + "learning_rate": 0.00019347349361588907, + "loss": 0.7873, + "step": 345 + }, + { + "epoch": 0.36, + "grad_norm": 0.06096939742565155, + "learning_rate": 0.00019343490391584696, + "loss": 0.702, + "step": 346 + }, + { + "epoch": 0.36, + "grad_norm": 0.05415042117238045, + "learning_rate": 0.000193396204337524, + "loss": 0.6321, + "step": 347 + }, + { + "epoch": 0.36, + "grad_norm": 0.05933550372719765, + "learning_rate": 0.0001933573949264305, + "loss": 0.7682, + "step": 348 + }, + { + "epoch": 0.36, + "grad_norm": 0.05992317944765091, + "learning_rate": 0.00019331847572820574, + "loss": 0.7141, + "step": 349 + }, + { + "epoch": 0.36, + "grad_norm": 0.061700768768787384, + "learning_rate": 0.00019327944678861826, + "loss": 0.787, + "step": 350 + }, + { + "epoch": 0.36, + "grad_norm": 0.06429409980773926, + "learning_rate": 0.0001932403081535656, + "loss": 0.8566, + "step": 351 + }, + { + "epoch": 0.36, + "grad_norm": 0.060838643461465836, + "learning_rate": 0.00019320105986907432, + "loss": 0.7432, + "step": 352 + }, + { + "epoch": 0.36, + "grad_norm": 0.06311419606208801, + "learning_rate": 0.0001931617019812999, + "loss": 0.7504, + "step": 353 + }, + { + "epoch": 0.37, + "grad_norm": 0.05914825573563576, + "learning_rate": 0.00019312223453652673, + "loss": 0.7791, + "step": 354 + }, + { + "epoch": 0.37, + "grad_norm": 0.06227264553308487, + "learning_rate": 0.000193082657581168, + "loss": 0.7584, + "step": 355 + }, + { + "epoch": 0.37, + "grad_norm": 0.05977202579379082, + "learning_rate": 0.00019304297116176574, + "loss": 0.6649, + "step": 356 + }, + { + "epoch": 0.37, + "grad_norm": 0.059180788695812225, + "learning_rate": 0.00019300317532499069, + "loss": 0.6559, + "step": 357 + }, + { + "epoch": 0.37, + "grad_norm": 0.06028233468532562, + "learning_rate": 0.00019296327011764225, + "loss": 0.7214, + "step": 358 + }, + { + "epoch": 0.37, + "grad_norm": 0.06343667954206467, + "learning_rate": 0.00019292325558664843, + "loss": 0.6716, + "step": 359 + }, + { + "epoch": 0.37, + "grad_norm": 0.059275731444358826, + "learning_rate": 0.00019288313177906588, + "loss": 0.7321, + "step": 360 + }, + { + "epoch": 0.37, + "grad_norm": 0.06691042333841324, + "learning_rate": 0.00019284289874207963, + "loss": 0.7095, + "step": 361 + }, + { + "epoch": 0.37, + "grad_norm": 0.06491021066904068, + "learning_rate": 0.00019280255652300325, + "loss": 0.6874, + "step": 362 + }, + { + "epoch": 0.37, + "grad_norm": 0.06535612046718597, + "learning_rate": 0.00019276210516927872, + "loss": 0.7175, + "step": 363 + }, + { + "epoch": 0.38, + "grad_norm": 0.06091107428073883, + "learning_rate": 0.00019272154472847625, + "loss": 0.6964, + "step": 364 + }, + { + "epoch": 0.38, + "grad_norm": 0.06472720205783844, + "learning_rate": 0.00019268087524829447, + "loss": 0.7771, + "step": 365 + }, + { + "epoch": 0.38, + "grad_norm": 0.06106911227107048, + "learning_rate": 0.0001926400967765602, + "loss": 0.7023, + "step": 366 + }, + { + "epoch": 0.38, + "grad_norm": 0.06196704879403114, + "learning_rate": 0.00019259920936122836, + "loss": 0.7171, + "step": 367 + }, + { + "epoch": 0.38, + "grad_norm": 0.06340812891721725, + "learning_rate": 0.00019255821305038206, + "loss": 0.6776, + "step": 368 + }, + { + "epoch": 0.38, + "grad_norm": 0.05937547609210014, + "learning_rate": 0.0001925171078922325, + "loss": 0.6742, + "step": 369 + }, + { + "epoch": 0.38, + "grad_norm": 0.05785318836569786, + "learning_rate": 0.00019247589393511872, + "loss": 0.6348, + "step": 370 + }, + { + "epoch": 0.38, + "grad_norm": 0.060800664126873016, + "learning_rate": 0.00019243457122750793, + "loss": 0.7789, + "step": 371 + }, + { + "epoch": 0.38, + "grad_norm": 0.06566699594259262, + "learning_rate": 0.00019239313981799506, + "loss": 0.7235, + "step": 372 + }, + { + "epoch": 0.38, + "grad_norm": 0.06358596682548523, + "learning_rate": 0.00019235159975530293, + "loss": 0.6262, + "step": 373 + }, + { + "epoch": 0.39, + "grad_norm": 0.06445778906345367, + "learning_rate": 0.00019230995108828215, + "loss": 0.6495, + "step": 374 + }, + { + "epoch": 0.39, + "grad_norm": 0.059928618371486664, + "learning_rate": 0.00019226819386591106, + "loss": 0.6459, + "step": 375 + }, + { + "epoch": 0.39, + "grad_norm": 0.0632234737277031, + "learning_rate": 0.0001922263281372956, + "loss": 0.6777, + "step": 376 + }, + { + "epoch": 0.39, + "grad_norm": 0.06647662818431854, + "learning_rate": 0.00019218435395166933, + "loss": 0.6579, + "step": 377 + }, + { + "epoch": 0.39, + "grad_norm": 0.07134454697370529, + "learning_rate": 0.0001921422713583934, + "loss": 0.7326, + "step": 378 + }, + { + "epoch": 0.39, + "grad_norm": 0.056324154138565063, + "learning_rate": 0.00019210008040695638, + "loss": 0.6974, + "step": 379 + }, + { + "epoch": 0.39, + "grad_norm": 0.06590214371681213, + "learning_rate": 0.00019205778114697437, + "loss": 0.6706, + "step": 380 + }, + { + "epoch": 0.39, + "grad_norm": 0.05920105054974556, + "learning_rate": 0.0001920153736281907, + "loss": 0.8247, + "step": 381 + }, + { + "epoch": 0.39, + "grad_norm": 0.06643356382846832, + "learning_rate": 0.00019197285790047608, + "loss": 0.7184, + "step": 382 + }, + { + "epoch": 0.39, + "grad_norm": 0.07437850534915924, + "learning_rate": 0.0001919302340138285, + "loss": 0.8304, + "step": 383 + }, + { + "epoch": 0.4, + "grad_norm": 0.059930771589279175, + "learning_rate": 0.0001918875020183732, + "loss": 0.6705, + "step": 384 + }, + { + "epoch": 0.4, + "grad_norm": 0.05600350350141525, + "learning_rate": 0.00019184466196436236, + "loss": 0.6985, + "step": 385 + }, + { + "epoch": 0.4, + "grad_norm": 0.05550659820437431, + "learning_rate": 0.00019180171390217537, + "loss": 0.7603, + "step": 386 + }, + { + "epoch": 0.4, + "grad_norm": 0.0702609270811081, + "learning_rate": 0.00019175865788231863, + "loss": 0.6904, + "step": 387 + }, + { + "epoch": 0.4, + "grad_norm": 0.07218141108751297, + "learning_rate": 0.00019171549395542546, + "loss": 0.7817, + "step": 388 + }, + { + "epoch": 0.4, + "grad_norm": 0.06199540197849274, + "learning_rate": 0.00019167222217225617, + "loss": 0.7508, + "step": 389 + }, + { + "epoch": 0.4, + "grad_norm": 0.06544966995716095, + "learning_rate": 0.00019162884258369775, + "loss": 0.7264, + "step": 390 + }, + { + "epoch": 0.4, + "grad_norm": 0.06334829330444336, + "learning_rate": 0.0001915853552407641, + "loss": 0.7282, + "step": 391 + }, + { + "epoch": 0.4, + "grad_norm": 0.06337782740592957, + "learning_rate": 0.0001915417601945958, + "loss": 0.7331, + "step": 392 + }, + { + "epoch": 0.41, + "grad_norm": 0.06350013613700867, + "learning_rate": 0.00019149805749646006, + "loss": 0.6549, + "step": 393 + }, + { + "epoch": 0.41, + "grad_norm": 0.05926767736673355, + "learning_rate": 0.0001914542471977507, + "loss": 0.7421, + "step": 394 + }, + { + "epoch": 0.41, + "grad_norm": 0.06383328139781952, + "learning_rate": 0.00019141032934998813, + "loss": 0.7322, + "step": 395 + }, + { + "epoch": 0.41, + "grad_norm": 0.07084285467863083, + "learning_rate": 0.00019136630400481912, + "loss": 0.7155, + "step": 396 + }, + { + "epoch": 0.41, + "grad_norm": 0.06484265625476837, + "learning_rate": 0.00019132217121401696, + "loss": 0.6974, + "step": 397 + }, + { + "epoch": 0.41, + "grad_norm": 0.06470082700252533, + "learning_rate": 0.0001912779310294813, + "loss": 0.8072, + "step": 398 + }, + { + "epoch": 0.41, + "grad_norm": 0.0596977099776268, + "learning_rate": 0.000191233583503238, + "loss": 0.6591, + "step": 399 + }, + { + "epoch": 0.41, + "grad_norm": 0.057743631303310394, + "learning_rate": 0.0001911891286874392, + "loss": 0.7119, + "step": 400 + }, + { + "epoch": 0.41, + "grad_norm": 0.06098794564604759, + "learning_rate": 0.00019114456663436324, + "loss": 0.6982, + "step": 401 + }, + { + "epoch": 0.41, + "grad_norm": 0.05964438244700432, + "learning_rate": 0.00019109989739641447, + "loss": 0.6741, + "step": 402 + }, + { + "epoch": 0.42, + "grad_norm": 0.06789212673902512, + "learning_rate": 0.00019105512102612343, + "loss": 0.7152, + "step": 403 + }, + { + "epoch": 0.42, + "grad_norm": 0.06945686042308807, + "learning_rate": 0.00019101023757614656, + "loss": 0.7184, + "step": 404 + }, + { + "epoch": 0.42, + "grad_norm": 0.06108655408024788, + "learning_rate": 0.0001909652470992662, + "loss": 0.7476, + "step": 405 + }, + { + "epoch": 0.42, + "grad_norm": 0.06126492843031883, + "learning_rate": 0.0001909201496483906, + "loss": 0.7669, + "step": 406 + }, + { + "epoch": 0.42, + "grad_norm": 0.06494157016277313, + "learning_rate": 0.00019087494527655384, + "loss": 0.7191, + "step": 407 + }, + { + "epoch": 0.42, + "grad_norm": 0.06480975449085236, + "learning_rate": 0.00019082963403691563, + "loss": 0.7215, + "step": 408 + }, + { + "epoch": 0.42, + "grad_norm": 0.06445412337779999, + "learning_rate": 0.00019078421598276148, + "loss": 0.7358, + "step": 409 + }, + { + "epoch": 0.42, + "grad_norm": 0.06461311876773834, + "learning_rate": 0.00019073869116750244, + "loss": 0.7462, + "step": 410 + }, + { + "epoch": 0.42, + "grad_norm": 0.06038064882159233, + "learning_rate": 0.00019069305964467508, + "loss": 0.6975, + "step": 411 + }, + { + "epoch": 0.42, + "grad_norm": 0.058075543493032455, + "learning_rate": 0.00019064732146794157, + "loss": 0.7348, + "step": 412 + }, + { + "epoch": 0.43, + "grad_norm": 0.06547833234071732, + "learning_rate": 0.00019060147669108942, + "loss": 0.6846, + "step": 413 + }, + { + "epoch": 0.43, + "grad_norm": 0.05910010635852814, + "learning_rate": 0.00019055552536803146, + "loss": 0.6978, + "step": 414 + }, + { + "epoch": 0.43, + "grad_norm": 0.061262935400009155, + "learning_rate": 0.00019050946755280594, + "loss": 0.7925, + "step": 415 + }, + { + "epoch": 0.43, + "grad_norm": 0.06281925737857819, + "learning_rate": 0.00019046330329957622, + "loss": 0.7537, + "step": 416 + }, + { + "epoch": 0.43, + "grad_norm": 0.06479451060295105, + "learning_rate": 0.00019041703266263094, + "loss": 0.7462, + "step": 417 + }, + { + "epoch": 0.43, + "grad_norm": 0.06690587103366852, + "learning_rate": 0.00019037065569638375, + "loss": 0.7118, + "step": 418 + }, + { + "epoch": 0.43, + "grad_norm": 0.06481601297855377, + "learning_rate": 0.00019032417245537343, + "loss": 0.6746, + "step": 419 + }, + { + "epoch": 0.43, + "grad_norm": 0.06519322842359543, + "learning_rate": 0.0001902775829942636, + "loss": 0.7062, + "step": 420 + }, + { + "epoch": 0.43, + "grad_norm": 0.058651816099882126, + "learning_rate": 0.000190230887367843, + "loss": 0.7479, + "step": 421 + }, + { + "epoch": 0.44, + "grad_norm": 0.06371847540140152, + "learning_rate": 0.00019018408563102504, + "loss": 0.7954, + "step": 422 + }, + { + "epoch": 0.44, + "grad_norm": 0.061327967792749405, + "learning_rate": 0.00019013717783884798, + "loss": 0.6943, + "step": 423 + }, + { + "epoch": 0.44, + "grad_norm": 0.06613918393850327, + "learning_rate": 0.00019009016404647477, + "loss": 0.7395, + "step": 424 + }, + { + "epoch": 0.44, + "grad_norm": 0.06330893188714981, + "learning_rate": 0.00019004304430919312, + "loss": 0.6978, + "step": 425 + }, + { + "epoch": 0.44, + "grad_norm": 0.061978746205568314, + "learning_rate": 0.0001899958186824152, + "loss": 0.6608, + "step": 426 + }, + { + "epoch": 0.44, + "grad_norm": 0.06049848347902298, + "learning_rate": 0.00018994848722167778, + "loss": 0.8073, + "step": 427 + }, + { + "epoch": 0.44, + "grad_norm": 0.061442065984010696, + "learning_rate": 0.00018990104998264205, + "loss": 0.6818, + "step": 428 + }, + { + "epoch": 0.44, + "grad_norm": 0.0643540471792221, + "learning_rate": 0.0001898535070210936, + "loss": 0.7317, + "step": 429 + }, + { + "epoch": 0.44, + "grad_norm": 0.06444810330867767, + "learning_rate": 0.00018980585839294237, + "loss": 0.6947, + "step": 430 + }, + { + "epoch": 0.44, + "grad_norm": 0.063243567943573, + "learning_rate": 0.00018975810415422257, + "loss": 0.8226, + "step": 431 + }, + { + "epoch": 0.45, + "grad_norm": 0.062445830553770065, + "learning_rate": 0.00018971024436109258, + "loss": 0.6881, + "step": 432 + }, + { + "epoch": 0.45, + "grad_norm": 0.06391721218824387, + "learning_rate": 0.00018966227906983492, + "loss": 0.7531, + "step": 433 + }, + { + "epoch": 0.45, + "grad_norm": 0.07556512951850891, + "learning_rate": 0.00018961420833685618, + "loss": 0.6901, + "step": 434 + }, + { + "epoch": 0.45, + "grad_norm": 0.07024349272251129, + "learning_rate": 0.0001895660322186869, + "loss": 0.6927, + "step": 435 + }, + { + "epoch": 0.45, + "grad_norm": 0.062289077788591385, + "learning_rate": 0.00018951775077198163, + "loss": 0.6386, + "step": 436 + }, + { + "epoch": 0.45, + "grad_norm": 0.0685746967792511, + "learning_rate": 0.00018946936405351875, + "loss": 0.7119, + "step": 437 + }, + { + "epoch": 0.45, + "grad_norm": 0.06907238811254501, + "learning_rate": 0.00018942087212020045, + "loss": 0.767, + "step": 438 + }, + { + "epoch": 0.45, + "grad_norm": 0.05862850695848465, + "learning_rate": 0.0001893722750290526, + "loss": 0.7121, + "step": 439 + }, + { + "epoch": 0.45, + "grad_norm": 0.06181567534804344, + "learning_rate": 0.00018932357283722482, + "loss": 0.709, + "step": 440 + }, + { + "epoch": 0.45, + "grad_norm": 0.06529933214187622, + "learning_rate": 0.00018927476560199022, + "loss": 0.7013, + "step": 441 + }, + { + "epoch": 0.46, + "grad_norm": 0.06098626181483269, + "learning_rate": 0.00018922585338074555, + "loss": 0.6641, + "step": 442 + }, + { + "epoch": 0.46, + "grad_norm": 0.06008550152182579, + "learning_rate": 0.00018917683623101094, + "loss": 0.7429, + "step": 443 + }, + { + "epoch": 0.46, + "grad_norm": 0.06048089265823364, + "learning_rate": 0.00018912771421042995, + "loss": 0.7312, + "step": 444 + }, + { + "epoch": 0.46, + "grad_norm": 0.06655411422252655, + "learning_rate": 0.0001890784873767695, + "loss": 0.7395, + "step": 445 + }, + { + "epoch": 0.46, + "grad_norm": 0.07008501142263412, + "learning_rate": 0.00018902915578791968, + "loss": 0.7715, + "step": 446 + }, + { + "epoch": 0.46, + "grad_norm": 0.07080001384019852, + "learning_rate": 0.00018897971950189386, + "loss": 0.7745, + "step": 447 + }, + { + "epoch": 0.46, + "grad_norm": 0.06971325725317001, + "learning_rate": 0.00018893017857682848, + "loss": 0.7391, + "step": 448 + }, + { + "epoch": 0.46, + "grad_norm": 0.06647112965583801, + "learning_rate": 0.00018888053307098305, + "loss": 0.6923, + "step": 449 + }, + { + "epoch": 0.46, + "grad_norm": 0.06085026636719704, + "learning_rate": 0.0001888307830427401, + "loss": 0.7561, + "step": 450 + }, + { + "epoch": 0.47, + "grad_norm": 0.06949692964553833, + "learning_rate": 0.00018878092855060497, + "loss": 0.7839, + "step": 451 + }, + { + "epoch": 0.47, + "grad_norm": 0.0794142335653305, + "learning_rate": 0.00018873096965320595, + "loss": 0.6829, + "step": 452 + }, + { + "epoch": 0.47, + "grad_norm": 0.07217901945114136, + "learning_rate": 0.00018868090640929413, + "loss": 0.7016, + "step": 453 + }, + { + "epoch": 0.47, + "grad_norm": 0.06830142438411713, + "learning_rate": 0.00018863073887774318, + "loss": 0.7442, + "step": 454 + }, + { + "epoch": 0.47, + "grad_norm": 0.0632953941822052, + "learning_rate": 0.00018858046711754954, + "loss": 0.7711, + "step": 455 + }, + { + "epoch": 0.47, + "grad_norm": 0.0693698301911354, + "learning_rate": 0.00018853009118783217, + "loss": 0.8282, + "step": 456 + }, + { + "epoch": 0.47, + "grad_norm": 0.061216652393341064, + "learning_rate": 0.00018847961114783256, + "loss": 0.7011, + "step": 457 + }, + { + "epoch": 0.47, + "grad_norm": 0.06573464721441269, + "learning_rate": 0.00018842902705691454, + "loss": 0.7428, + "step": 458 + }, + { + "epoch": 0.47, + "grad_norm": 0.06309016048908234, + "learning_rate": 0.0001883783389745644, + "loss": 0.7338, + "step": 459 + }, + { + "epoch": 0.47, + "grad_norm": 0.06523136794567108, + "learning_rate": 0.00018832754696039073, + "loss": 0.7215, + "step": 460 + }, + { + "epoch": 0.48, + "grad_norm": 0.06510775536298752, + "learning_rate": 0.00018827665107412424, + "loss": 0.7303, + "step": 461 + }, + { + "epoch": 0.48, + "grad_norm": 0.06285244226455688, + "learning_rate": 0.0001882256513756179, + "loss": 0.8391, + "step": 462 + }, + { + "epoch": 0.48, + "grad_norm": 0.06129281967878342, + "learning_rate": 0.0001881745479248467, + "loss": 0.651, + "step": 463 + }, + { + "epoch": 0.48, + "grad_norm": 0.06267630308866501, + "learning_rate": 0.00018812334078190769, + "loss": 0.6906, + "step": 464 + }, + { + "epoch": 0.48, + "grad_norm": 0.06995107978582382, + "learning_rate": 0.00018807203000701978, + "loss": 0.7636, + "step": 465 + }, + { + "epoch": 0.48, + "grad_norm": 0.06257961690425873, + "learning_rate": 0.00018802061566052384, + "loss": 0.7336, + "step": 466 + }, + { + "epoch": 0.48, + "grad_norm": 0.061007607728242874, + "learning_rate": 0.00018796909780288248, + "loss": 0.6634, + "step": 467 + }, + { + "epoch": 0.48, + "grad_norm": 0.06716372072696686, + "learning_rate": 0.0001879174764946801, + "loss": 0.7982, + "step": 468 + }, + { + "epoch": 0.48, + "grad_norm": 0.06520219892263412, + "learning_rate": 0.00018786575179662265, + "loss": 0.7175, + "step": 469 + }, + { + "epoch": 0.48, + "grad_norm": 0.06266435235738754, + "learning_rate": 0.00018781392376953778, + "loss": 0.8244, + "step": 470 + }, + { + "epoch": 0.49, + "grad_norm": 0.06289061903953552, + "learning_rate": 0.00018776199247437457, + "loss": 0.7139, + "step": 471 + }, + { + "epoch": 0.49, + "grad_norm": 0.06526096910238266, + "learning_rate": 0.00018770995797220356, + "loss": 0.7111, + "step": 472 + }, + { + "epoch": 0.49, + "grad_norm": 0.06748399138450623, + "learning_rate": 0.00018765782032421674, + "loss": 0.7057, + "step": 473 + }, + { + "epoch": 0.49, + "grad_norm": 0.06067729741334915, + "learning_rate": 0.0001876055795917273, + "loss": 0.616, + "step": 474 + }, + { + "epoch": 0.49, + "grad_norm": 0.07784713804721832, + "learning_rate": 0.00018755323583616966, + "loss": 0.7285, + "step": 475 + }, + { + "epoch": 0.49, + "grad_norm": 0.06458035111427307, + "learning_rate": 0.00018750078911909947, + "loss": 0.7296, + "step": 476 + }, + { + "epoch": 0.49, + "grad_norm": 0.06379619985818863, + "learning_rate": 0.00018744823950219339, + "loss": 0.6915, + "step": 477 + }, + { + "epoch": 0.49, + "grad_norm": 0.06064402312040329, + "learning_rate": 0.00018739558704724911, + "loss": 0.7291, + "step": 478 + }, + { + "epoch": 0.49, + "grad_norm": 0.06831635534763336, + "learning_rate": 0.00018734283181618525, + "loss": 0.7506, + "step": 479 + }, + { + "epoch": 0.49, + "grad_norm": 0.06278979033231735, + "learning_rate": 0.00018728997387104136, + "loss": 0.7389, + "step": 480 + }, + { + "epoch": 0.5, + "grad_norm": 0.072098508477211, + "learning_rate": 0.00018723701327397766, + "loss": 0.7571, + "step": 481 + }, + { + "epoch": 0.5, + "grad_norm": 0.14378315210342407, + "learning_rate": 0.00018718395008727518, + "loss": 0.7914, + "step": 482 + }, + { + "epoch": 0.5, + "grad_norm": 0.06290939450263977, + "learning_rate": 0.0001871307843733356, + "loss": 0.6587, + "step": 483 + }, + { + "epoch": 0.5, + "grad_norm": 0.06457720696926117, + "learning_rate": 0.00018707751619468103, + "loss": 0.6835, + "step": 484 + }, + { + "epoch": 0.5, + "grad_norm": 0.07224012911319733, + "learning_rate": 0.0001870241456139543, + "loss": 0.6609, + "step": 485 + }, + { + "epoch": 0.5, + "grad_norm": 0.06716971844434738, + "learning_rate": 0.00018697067269391848, + "loss": 0.7688, + "step": 486 + }, + { + "epoch": 0.5, + "eval_loss": 0.8164525628089905, + "eval_runtime": 111.6882, + "eval_samples_per_second": 88.98, + "eval_steps_per_second": 22.249, + "step": 486 + }, + { + "epoch": 0.5, + "grad_norm": 0.07206602394580841, + "learning_rate": 0.00018691709749745706, + "loss": 0.7399, + "step": 487 + }, + { + "epoch": 0.5, + "grad_norm": 0.06269916892051697, + "learning_rate": 0.00018686342008757383, + "loss": 0.6564, + "step": 488 + }, + { + "epoch": 0.5, + "grad_norm": 0.06308487802743912, + "learning_rate": 0.00018680964052739273, + "loss": 0.7436, + "step": 489 + }, + { + "epoch": 0.51, + "grad_norm": 0.06728991121053696, + "learning_rate": 0.0001867557588801579, + "loss": 0.7415, + "step": 490 + }, + { + "epoch": 0.51, + "grad_norm": 0.06449094414710999, + "learning_rate": 0.0001867017752092334, + "loss": 0.7578, + "step": 491 + }, + { + "epoch": 0.51, + "grad_norm": 0.08734392374753952, + "learning_rate": 0.0001866476895781034, + "loss": 0.7041, + "step": 492 + }, + { + "epoch": 0.51, + "grad_norm": 0.06480298936367035, + "learning_rate": 0.0001865935020503719, + "loss": 0.7842, + "step": 493 + }, + { + "epoch": 0.51, + "grad_norm": 0.09008181840181351, + "learning_rate": 0.00018653921268976285, + "loss": 0.6765, + "step": 494 + }, + { + "epoch": 0.51, + "grad_norm": 0.06579532474279404, + "learning_rate": 0.00018648482156011977, + "loss": 0.6687, + "step": 495 + }, + { + "epoch": 0.51, + "grad_norm": 0.06645182520151138, + "learning_rate": 0.000186430328725406, + "loss": 0.7584, + "step": 496 + }, + { + "epoch": 0.51, + "grad_norm": 0.06692402064800262, + "learning_rate": 0.00018637573424970435, + "loss": 0.7336, + "step": 497 + }, + { + "epoch": 0.51, + "grad_norm": 0.06754589080810547, + "learning_rate": 0.00018632103819721731, + "loss": 0.7692, + "step": 498 + }, + { + "epoch": 0.51, + "grad_norm": 0.06759774684906006, + "learning_rate": 0.00018626624063226675, + "loss": 0.792, + "step": 499 + }, + { + "epoch": 0.52, + "grad_norm": 0.06528620421886444, + "learning_rate": 0.00018621134161929393, + "loss": 0.76, + "step": 500 + }, + { + "epoch": 0.52, + "grad_norm": 0.07810235023498535, + "learning_rate": 0.00018615634122285936, + "loss": 0.7695, + "step": 501 + }, + { + "epoch": 0.52, + "grad_norm": 0.06633520126342773, + "learning_rate": 0.00018610123950764287, + "loss": 0.711, + "step": 502 + }, + { + "epoch": 0.52, + "grad_norm": 0.0723094642162323, + "learning_rate": 0.00018604603653844337, + "loss": 0.7693, + "step": 503 + }, + { + "epoch": 0.52, + "grad_norm": 0.06438109278678894, + "learning_rate": 0.00018599073238017888, + "loss": 0.6729, + "step": 504 + }, + { + "epoch": 0.52, + "grad_norm": 0.062286246567964554, + "learning_rate": 0.00018593532709788635, + "loss": 0.6951, + "step": 505 + }, + { + "epoch": 0.52, + "grad_norm": 0.06298733502626419, + "learning_rate": 0.00018587982075672174, + "loss": 0.6774, + "step": 506 + }, + { + "epoch": 0.52, + "grad_norm": 0.06751766055822372, + "learning_rate": 0.00018582421342195978, + "loss": 0.7711, + "step": 507 + }, + { + "epoch": 0.52, + "grad_norm": 0.06741178035736084, + "learning_rate": 0.0001857685051589941, + "loss": 0.706, + "step": 508 + }, + { + "epoch": 0.52, + "grad_norm": 0.09620961546897888, + "learning_rate": 0.00018571269603333677, + "loss": 0.6802, + "step": 509 + }, + { + "epoch": 0.53, + "grad_norm": 0.07265791296958923, + "learning_rate": 0.00018565678611061877, + "loss": 0.7392, + "step": 510 + }, + { + "epoch": 0.53, + "grad_norm": 0.06844795495271683, + "learning_rate": 0.0001856007754565894, + "loss": 0.7633, + "step": 511 + }, + { + "epoch": 0.53, + "grad_norm": 0.07247466593980789, + "learning_rate": 0.00018554466413711645, + "loss": 0.6176, + "step": 512 + }, + { + "epoch": 0.53, + "grad_norm": 0.06879562884569168, + "learning_rate": 0.0001854884522181862, + "loss": 0.7368, + "step": 513 + }, + { + "epoch": 0.53, + "grad_norm": 0.06788138300180435, + "learning_rate": 0.0001854321397659031, + "loss": 0.7507, + "step": 514 + }, + { + "epoch": 0.53, + "grad_norm": 0.06438209116458893, + "learning_rate": 0.00018537572684649, + "loss": 0.7451, + "step": 515 + }, + { + "epoch": 0.53, + "grad_norm": 0.06962509453296661, + "learning_rate": 0.00018531921352628772, + "loss": 0.747, + "step": 516 + }, + { + "epoch": 0.53, + "grad_norm": 0.07272413372993469, + "learning_rate": 0.00018526259987175522, + "loss": 0.6815, + "step": 517 + }, + { + "epoch": 0.53, + "grad_norm": 0.07266836613416672, + "learning_rate": 0.0001852058859494694, + "loss": 0.7337, + "step": 518 + }, + { + "epoch": 0.54, + "grad_norm": 0.06824107468128204, + "learning_rate": 0.00018514907182612525, + "loss": 0.7137, + "step": 519 + }, + { + "epoch": 0.54, + "grad_norm": 0.0668516680598259, + "learning_rate": 0.00018509215756853535, + "loss": 0.7391, + "step": 520 + }, + { + "epoch": 0.54, + "grad_norm": 0.06273160874843597, + "learning_rate": 0.00018503514324363023, + "loss": 0.75, + "step": 521 + }, + { + "epoch": 0.54, + "grad_norm": 0.06964839994907379, + "learning_rate": 0.000184978028918458, + "loss": 0.723, + "step": 522 + }, + { + "epoch": 0.54, + "grad_norm": 0.06386502832174301, + "learning_rate": 0.00018492081466018435, + "loss": 0.7156, + "step": 523 + }, + { + "epoch": 0.54, + "grad_norm": 0.06581712514162064, + "learning_rate": 0.00018486350053609262, + "loss": 0.7569, + "step": 524 + }, + { + "epoch": 0.54, + "grad_norm": 0.07477328926324844, + "learning_rate": 0.00018480608661358344, + "loss": 0.8663, + "step": 525 + }, + { + "epoch": 0.54, + "grad_norm": 0.07748843729496002, + "learning_rate": 0.0001847485729601749, + "loss": 0.5842, + "step": 526 + }, + { + "epoch": 0.54, + "grad_norm": 0.06755229830741882, + "learning_rate": 0.00018469095964350233, + "loss": 0.7617, + "step": 527 + }, + { + "epoch": 0.54, + "grad_norm": 0.0634811520576477, + "learning_rate": 0.00018463324673131823, + "loss": 0.7125, + "step": 528 + }, + { + "epoch": 0.55, + "grad_norm": 0.06521796435117722, + "learning_rate": 0.00018457543429149234, + "loss": 0.7251, + "step": 529 + }, + { + "epoch": 0.55, + "grad_norm": 0.07096633315086365, + "learning_rate": 0.0001845175223920113, + "loss": 0.6871, + "step": 530 + }, + { + "epoch": 0.55, + "grad_norm": 0.066802479326725, + "learning_rate": 0.00018445951110097883, + "loss": 0.7262, + "step": 531 + }, + { + "epoch": 0.55, + "grad_norm": 0.06430657207965851, + "learning_rate": 0.00018440140048661547, + "loss": 0.7712, + "step": 532 + }, + { + "epoch": 0.55, + "grad_norm": 0.06193665415048599, + "learning_rate": 0.00018434319061725858, + "loss": 0.6698, + "step": 533 + }, + { + "epoch": 0.55, + "grad_norm": 0.062316689640283585, + "learning_rate": 0.0001842848815613622, + "loss": 0.7413, + "step": 534 + }, + { + "epoch": 0.55, + "grad_norm": 0.06545069813728333, + "learning_rate": 0.00018422647338749707, + "loss": 0.6857, + "step": 535 + }, + { + "epoch": 0.55, + "grad_norm": 0.0639072060585022, + "learning_rate": 0.00018416796616435054, + "loss": 0.6938, + "step": 536 + }, + { + "epoch": 0.55, + "grad_norm": 0.06502430140972137, + "learning_rate": 0.0001841093599607263, + "loss": 0.7396, + "step": 537 + }, + { + "epoch": 0.55, + "grad_norm": 0.06591713428497314, + "learning_rate": 0.00018405065484554452, + "loss": 0.6659, + "step": 538 + }, + { + "epoch": 0.56, + "grad_norm": 0.063933365046978, + "learning_rate": 0.0001839918508878417, + "loss": 0.7334, + "step": 539 + }, + { + "epoch": 0.56, + "grad_norm": 0.06484158337116241, + "learning_rate": 0.00018393294815677056, + "loss": 0.7337, + "step": 540 + }, + { + "epoch": 0.56, + "grad_norm": 0.066524937748909, + "learning_rate": 0.0001838739467216, + "loss": 0.7174, + "step": 541 + }, + { + "epoch": 0.56, + "grad_norm": 0.0775236114859581, + "learning_rate": 0.0001838148466517149, + "loss": 0.7697, + "step": 542 + }, + { + "epoch": 0.56, + "grad_norm": 0.06475924700498581, + "learning_rate": 0.0001837556480166163, + "loss": 0.7568, + "step": 543 + }, + { + "epoch": 0.56, + "grad_norm": 0.06703387200832367, + "learning_rate": 0.000183696350885921, + "loss": 0.7124, + "step": 544 + }, + { + "epoch": 0.56, + "grad_norm": 0.0641862079501152, + "learning_rate": 0.00018363695532936164, + "loss": 0.707, + "step": 545 + }, + { + "epoch": 0.56, + "grad_norm": 0.06697754561901093, + "learning_rate": 0.00018357746141678676, + "loss": 0.7185, + "step": 546 + }, + { + "epoch": 0.56, + "grad_norm": 0.06705842912197113, + "learning_rate": 0.00018351786921816038, + "loss": 0.7649, + "step": 547 + }, + { + "epoch": 0.57, + "grad_norm": 0.06511738151311874, + "learning_rate": 0.00018345817880356218, + "loss": 0.722, + "step": 548 + }, + { + "epoch": 0.57, + "grad_norm": 0.06530781090259552, + "learning_rate": 0.0001833983902431874, + "loss": 0.7143, + "step": 549 + }, + { + "epoch": 0.57, + "grad_norm": 0.06371057033538818, + "learning_rate": 0.00018333850360734662, + "loss": 0.6969, + "step": 550 + }, + { + "epoch": 0.57, + "grad_norm": 0.07265166938304901, + "learning_rate": 0.00018327851896646574, + "loss": 0.7703, + "step": 551 + }, + { + "epoch": 0.57, + "grad_norm": 0.07043513655662537, + "learning_rate": 0.000183218436391086, + "loss": 0.7416, + "step": 552 + }, + { + "epoch": 0.57, + "grad_norm": 0.06820254027843475, + "learning_rate": 0.0001831582559518637, + "loss": 0.7941, + "step": 553 + }, + { + "epoch": 0.57, + "grad_norm": 0.0645156055688858, + "learning_rate": 0.00018309797771957036, + "loss": 0.7385, + "step": 554 + }, + { + "epoch": 0.57, + "grad_norm": 0.06690391153097153, + "learning_rate": 0.00018303760176509234, + "loss": 0.7509, + "step": 555 + }, + { + "epoch": 0.57, + "grad_norm": 0.06634744256734848, + "learning_rate": 0.00018297712815943109, + "loss": 0.6547, + "step": 556 + }, + { + "epoch": 0.57, + "grad_norm": 0.06777124106884003, + "learning_rate": 0.00018291655697370276, + "loss": 0.7103, + "step": 557 + }, + { + "epoch": 0.58, + "grad_norm": 0.06453371793031693, + "learning_rate": 0.00018285588827913834, + "loss": 0.7032, + "step": 558 + }, + { + "epoch": 0.58, + "grad_norm": 0.06689512729644775, + "learning_rate": 0.00018279512214708344, + "loss": 0.7677, + "step": 559 + }, + { + "epoch": 0.58, + "grad_norm": 0.06096369028091431, + "learning_rate": 0.00018273425864899829, + "loss": 0.5788, + "step": 560 + }, + { + "epoch": 0.58, + "grad_norm": 0.06912747025489807, + "learning_rate": 0.0001826732978564576, + "loss": 0.7094, + "step": 561 + }, + { + "epoch": 0.58, + "grad_norm": 0.06365373730659485, + "learning_rate": 0.0001826122398411505, + "loss": 0.6554, + "step": 562 + }, + { + "epoch": 0.58, + "grad_norm": 0.06549493223428726, + "learning_rate": 0.00018255108467488045, + "loss": 0.6927, + "step": 563 + }, + { + "epoch": 0.58, + "grad_norm": 0.06063194200396538, + "learning_rate": 0.00018248983242956515, + "loss": 0.7077, + "step": 564 + }, + { + "epoch": 0.58, + "grad_norm": 0.06569315493106842, + "learning_rate": 0.00018242848317723647, + "loss": 0.704, + "step": 565 + }, + { + "epoch": 0.58, + "grad_norm": 0.0646178349852562, + "learning_rate": 0.0001823670369900404, + "loss": 0.6658, + "step": 566 + }, + { + "epoch": 0.58, + "grad_norm": 0.06432666629552841, + "learning_rate": 0.0001823054939402369, + "loss": 0.7117, + "step": 567 + }, + { + "epoch": 0.59, + "grad_norm": 0.06953758746385574, + "learning_rate": 0.00018224385410019976, + "loss": 0.657, + "step": 568 + }, + { + "epoch": 0.59, + "grad_norm": 0.0662669911980629, + "learning_rate": 0.00018218211754241666, + "loss": 0.7467, + "step": 569 + }, + { + "epoch": 0.59, + "grad_norm": 0.06994238495826721, + "learning_rate": 0.00018212028433948915, + "loss": 0.771, + "step": 570 + }, + { + "epoch": 0.59, + "grad_norm": 0.06679581850767136, + "learning_rate": 0.0001820583545641322, + "loss": 0.7267, + "step": 571 + }, + { + "epoch": 0.59, + "grad_norm": 0.07098355144262314, + "learning_rate": 0.00018199632828917446, + "loss": 0.7201, + "step": 572 + }, + { + "epoch": 0.59, + "grad_norm": 0.06492327153682709, + "learning_rate": 0.00018193420558755807, + "loss": 0.7125, + "step": 573 + }, + { + "epoch": 0.59, + "grad_norm": 0.06887879967689514, + "learning_rate": 0.00018187198653233855, + "loss": 0.6887, + "step": 574 + }, + { + "epoch": 0.59, + "grad_norm": 0.06757469475269318, + "learning_rate": 0.00018180967119668472, + "loss": 0.6571, + "step": 575 + }, + { + "epoch": 0.59, + "grad_norm": 0.06290429830551147, + "learning_rate": 0.00018174725965387867, + "loss": 0.702, + "step": 576 + }, + { + "epoch": 0.59, + "grad_norm": 0.06352391839027405, + "learning_rate": 0.00018168475197731553, + "loss": 0.7017, + "step": 577 + }, + { + "epoch": 0.6, + "grad_norm": 0.06685255467891693, + "learning_rate": 0.00018162214824050366, + "loss": 0.7533, + "step": 578 + }, + { + "epoch": 0.6, + "grad_norm": 0.06117778643965721, + "learning_rate": 0.00018155944851706415, + "loss": 0.72, + "step": 579 + }, + { + "epoch": 0.6, + "grad_norm": 0.0662195160984993, + "learning_rate": 0.00018149665288073115, + "loss": 0.7206, + "step": 580 + }, + { + "epoch": 0.6, + "grad_norm": 0.0689619854092598, + "learning_rate": 0.00018143376140535158, + "loss": 0.6461, + "step": 581 + }, + { + "epoch": 0.6, + "grad_norm": 0.06290092319250107, + "learning_rate": 0.00018137077416488496, + "loss": 0.7368, + "step": 582 + }, + { + "epoch": 0.6, + "grad_norm": 0.06402301788330078, + "learning_rate": 0.00018130769123340351, + "loss": 0.6917, + "step": 583 + }, + { + "epoch": 0.6, + "grad_norm": 0.07769487798213959, + "learning_rate": 0.00018124451268509203, + "loss": 0.7289, + "step": 584 + }, + { + "epoch": 0.6, + "grad_norm": 0.06879512220621109, + "learning_rate": 0.00018118123859424764, + "loss": 0.7492, + "step": 585 + }, + { + "epoch": 0.6, + "grad_norm": 0.07164003700017929, + "learning_rate": 0.00018111786903527994, + "loss": 0.6481, + "step": 586 + }, + { + "epoch": 0.61, + "grad_norm": 0.06826422363519669, + "learning_rate": 0.00018105440408271067, + "loss": 0.7569, + "step": 587 + }, + { + "epoch": 0.61, + "grad_norm": 0.07842717319726944, + "learning_rate": 0.00018099084381117386, + "loss": 0.73, + "step": 588 + }, + { + "epoch": 0.61, + "grad_norm": 0.06824488192796707, + "learning_rate": 0.0001809271882954156, + "loss": 0.6665, + "step": 589 + }, + { + "epoch": 0.61, + "grad_norm": 0.06883325427770615, + "learning_rate": 0.000180863437610294, + "loss": 0.6761, + "step": 590 + }, + { + "epoch": 0.61, + "grad_norm": 0.06425601989030838, + "learning_rate": 0.000180799591830779, + "loss": 0.6317, + "step": 591 + }, + { + "epoch": 0.61, + "grad_norm": 0.06907620280981064, + "learning_rate": 0.00018073565103195253, + "loss": 0.6956, + "step": 592 + }, + { + "epoch": 0.61, + "grad_norm": 0.06852835416793823, + "learning_rate": 0.0001806716152890081, + "loss": 0.7079, + "step": 593 + }, + { + "epoch": 0.61, + "grad_norm": 0.07164844870567322, + "learning_rate": 0.00018060748467725097, + "loss": 0.7305, + "step": 594 + }, + { + "epoch": 0.61, + "grad_norm": 0.06715549528598785, + "learning_rate": 0.00018054325927209795, + "loss": 0.6846, + "step": 595 + }, + { + "epoch": 0.61, + "grad_norm": 0.06505031883716583, + "learning_rate": 0.00018047893914907733, + "loss": 0.7758, + "step": 596 + }, + { + "epoch": 0.62, + "grad_norm": 0.06611162424087524, + "learning_rate": 0.0001804145243838287, + "loss": 0.7493, + "step": 597 + }, + { + "epoch": 0.62, + "grad_norm": 0.06780173629522324, + "learning_rate": 0.00018035001505210308, + "loss": 0.7347, + "step": 598 + }, + { + "epoch": 0.62, + "grad_norm": 0.06760706007480621, + "learning_rate": 0.00018028541122976264, + "loss": 0.7149, + "step": 599 + }, + { + "epoch": 0.62, + "grad_norm": 0.06549396365880966, + "learning_rate": 0.00018022071299278065, + "loss": 0.7057, + "step": 600 + }, + { + "epoch": 0.62, + "grad_norm": 0.06889012455940247, + "learning_rate": 0.00018015592041724143, + "loss": 0.7686, + "step": 601 + }, + { + "epoch": 0.62, + "grad_norm": 0.06646202504634857, + "learning_rate": 0.00018009103357934024, + "loss": 0.7379, + "step": 602 + }, + { + "epoch": 0.62, + "grad_norm": 0.06753333657979965, + "learning_rate": 0.00018002605255538324, + "loss": 0.6518, + "step": 603 + }, + { + "epoch": 0.62, + "grad_norm": 0.06427349895238876, + "learning_rate": 0.0001799609774217872, + "loss": 0.6816, + "step": 604 + }, + { + "epoch": 0.62, + "grad_norm": 0.0671876072883606, + "learning_rate": 0.00017989580825507974, + "loss": 0.6166, + "step": 605 + }, + { + "epoch": 0.62, + "grad_norm": 0.06923870742321014, + "learning_rate": 0.00017983054513189898, + "loss": 0.7363, + "step": 606 + }, + { + "epoch": 0.63, + "grad_norm": 0.06566382944583893, + "learning_rate": 0.00017976518812899353, + "loss": 0.6905, + "step": 607 + }, + { + "epoch": 0.63, + "grad_norm": 0.06720302253961563, + "learning_rate": 0.0001796997373232224, + "loss": 0.7466, + "step": 608 + }, + { + "epoch": 0.63, + "grad_norm": 0.07467524707317352, + "learning_rate": 0.00017963419279155493, + "loss": 0.6771, + "step": 609 + }, + { + "epoch": 0.63, + "grad_norm": 0.06185929477214813, + "learning_rate": 0.00017956855461107068, + "loss": 0.7175, + "step": 610 + }, + { + "epoch": 0.63, + "grad_norm": 0.08537810295820236, + "learning_rate": 0.0001795028228589593, + "loss": 0.7694, + "step": 611 + }, + { + "epoch": 0.63, + "grad_norm": 0.06563472747802734, + "learning_rate": 0.00017943699761252055, + "loss": 0.7425, + "step": 612 + }, + { + "epoch": 0.63, + "grad_norm": 0.06966511905193329, + "learning_rate": 0.00017937107894916407, + "loss": 0.8045, + "step": 613 + }, + { + "epoch": 0.63, + "grad_norm": 0.0687708631157875, + "learning_rate": 0.0001793050669464094, + "loss": 0.7076, + "step": 614 + }, + { + "epoch": 0.63, + "grad_norm": 0.06829386204481125, + "learning_rate": 0.00017923896168188584, + "loss": 0.6838, + "step": 615 + }, + { + "epoch": 0.64, + "grad_norm": 0.06806325167417526, + "learning_rate": 0.0001791727632333323, + "loss": 0.6726, + "step": 616 + }, + { + "epoch": 0.64, + "grad_norm": 0.06878352910280228, + "learning_rate": 0.00017910647167859741, + "loss": 0.7273, + "step": 617 + }, + { + "epoch": 0.64, + "grad_norm": 0.07277524471282959, + "learning_rate": 0.00017904008709563915, + "loss": 0.6682, + "step": 618 + }, + { + "epoch": 0.64, + "grad_norm": 0.06648612022399902, + "learning_rate": 0.000178973609562525, + "loss": 0.7046, + "step": 619 + }, + { + "epoch": 0.64, + "grad_norm": 0.06936463713645935, + "learning_rate": 0.00017890703915743168, + "loss": 0.8204, + "step": 620 + }, + { + "epoch": 0.64, + "grad_norm": 0.07113652676343918, + "learning_rate": 0.00017884037595864517, + "loss": 0.7009, + "step": 621 + }, + { + "epoch": 0.64, + "grad_norm": 0.07027497887611389, + "learning_rate": 0.00017877362004456058, + "loss": 0.7249, + "step": 622 + }, + { + "epoch": 0.64, + "grad_norm": 0.0664186030626297, + "learning_rate": 0.000178706771493682, + "loss": 0.7165, + "step": 623 + }, + { + "epoch": 0.64, + "grad_norm": 0.06796207278966904, + "learning_rate": 0.0001786398303846225, + "loss": 0.7544, + "step": 624 + }, + { + "epoch": 0.64, + "grad_norm": 0.06871851533651352, + "learning_rate": 0.00017857279679610397, + "loss": 0.7431, + "step": 625 + }, + { + "epoch": 0.65, + "grad_norm": 0.07132145762443542, + "learning_rate": 0.0001785056708069571, + "loss": 0.7186, + "step": 626 + }, + { + "epoch": 0.65, + "grad_norm": 0.0689890906214714, + "learning_rate": 0.00017843845249612122, + "loss": 0.7305, + "step": 627 + }, + { + "epoch": 0.65, + "grad_norm": 0.06329981237649918, + "learning_rate": 0.0001783711419426442, + "loss": 0.6951, + "step": 628 + }, + { + "epoch": 0.65, + "grad_norm": 0.06915485858917236, + "learning_rate": 0.00017830373922568245, + "loss": 0.6136, + "step": 629 + }, + { + "epoch": 0.65, + "grad_norm": 0.07033320516347885, + "learning_rate": 0.00017823624442450065, + "loss": 0.7022, + "step": 630 + }, + { + "epoch": 0.65, + "grad_norm": 0.07259360700845718, + "learning_rate": 0.00017816865761847197, + "loss": 0.7394, + "step": 631 + }, + { + "epoch": 0.65, + "grad_norm": 0.06609155982732773, + "learning_rate": 0.0001781009788870775, + "loss": 0.6955, + "step": 632 + }, + { + "epoch": 0.65, + "grad_norm": 0.07294370979070663, + "learning_rate": 0.00017803320830990667, + "loss": 0.6823, + "step": 633 + }, + { + "epoch": 0.65, + "grad_norm": 0.0686420202255249, + "learning_rate": 0.00017796534596665686, + "loss": 0.6778, + "step": 634 + }, + { + "epoch": 0.65, + "grad_norm": 0.06810775399208069, + "learning_rate": 0.00017789739193713324, + "loss": 0.7313, + "step": 635 + }, + { + "epoch": 0.66, + "grad_norm": 0.06998413801193237, + "learning_rate": 0.000177829346301249, + "loss": 0.6917, + "step": 636 + }, + { + "epoch": 0.66, + "grad_norm": 0.08018749952316284, + "learning_rate": 0.00017776120913902489, + "loss": 0.7806, + "step": 637 + }, + { + "epoch": 0.66, + "grad_norm": 0.07463950663805008, + "learning_rate": 0.0001776929805305894, + "loss": 0.7387, + "step": 638 + }, + { + "epoch": 0.66, + "grad_norm": 0.06867985427379608, + "learning_rate": 0.0001776246605561785, + "loss": 0.7435, + "step": 639 + }, + { + "epoch": 0.66, + "grad_norm": 0.07185962051153183, + "learning_rate": 0.00017755624929613565, + "loss": 0.7688, + "step": 640 + }, + { + "epoch": 0.66, + "grad_norm": 0.0686650425195694, + "learning_rate": 0.00017748774683091164, + "loss": 0.7115, + "step": 641 + }, + { + "epoch": 0.66, + "grad_norm": 0.06798288226127625, + "learning_rate": 0.00017741915324106445, + "loss": 0.7755, + "step": 642 + }, + { + "epoch": 0.66, + "grad_norm": 0.07337713241577148, + "learning_rate": 0.0001773504686072594, + "loss": 0.7563, + "step": 643 + }, + { + "epoch": 0.66, + "grad_norm": 0.07286756485700607, + "learning_rate": 0.00017728169301026864, + "loss": 0.7242, + "step": 644 + }, + { + "epoch": 0.67, + "grad_norm": 0.0704449713230133, + "learning_rate": 0.00017721282653097148, + "loss": 0.7912, + "step": 645 + }, + { + "epoch": 0.67, + "grad_norm": 0.06909286230802536, + "learning_rate": 0.00017714386925035406, + "loss": 0.6845, + "step": 646 + }, + { + "epoch": 0.67, + "grad_norm": 0.07194187492132187, + "learning_rate": 0.00017707482124950923, + "loss": 0.7388, + "step": 647 + }, + { + "epoch": 0.67, + "grad_norm": 0.09377000480890274, + "learning_rate": 0.00017700568260963658, + "loss": 0.7118, + "step": 648 + }, + { + "epoch": 0.67, + "grad_norm": 0.06767406314611435, + "learning_rate": 0.00017693645341204236, + "loss": 0.6796, + "step": 649 + }, + { + "epoch": 0.67, + "grad_norm": 0.07329147309064865, + "learning_rate": 0.00017686713373813917, + "loss": 0.635, + "step": 650 + }, + { + "epoch": 0.67, + "grad_norm": 0.06956500560045242, + "learning_rate": 0.00017679772366944609, + "loss": 0.7316, + "step": 651 + }, + { + "epoch": 0.67, + "grad_norm": 0.07110968232154846, + "learning_rate": 0.00017672822328758853, + "loss": 0.7194, + "step": 652 + }, + { + "epoch": 0.67, + "grad_norm": 0.06750847399234772, + "learning_rate": 0.00017665863267429802, + "loss": 0.6878, + "step": 653 + }, + { + "epoch": 0.67, + "grad_norm": 0.0709410011768341, + "learning_rate": 0.00017658895191141225, + "loss": 0.7374, + "step": 654 + }, + { + "epoch": 0.68, + "grad_norm": 0.06910226494073868, + "learning_rate": 0.00017651918108087502, + "loss": 0.7234, + "step": 655 + }, + { + "epoch": 0.68, + "grad_norm": 0.07859506458044052, + "learning_rate": 0.00017644932026473584, + "loss": 0.7187, + "step": 656 + }, + { + "epoch": 0.68, + "grad_norm": 0.06830095499753952, + "learning_rate": 0.00017637936954515023, + "loss": 0.6305, + "step": 657 + }, + { + "epoch": 0.68, + "grad_norm": 0.07022988796234131, + "learning_rate": 0.00017630932900437936, + "loss": 0.6217, + "step": 658 + }, + { + "epoch": 0.68, + "grad_norm": 0.06744571030139923, + "learning_rate": 0.00017623919872479, + "loss": 0.6997, + "step": 659 + }, + { + "epoch": 0.68, + "grad_norm": 0.0686475932598114, + "learning_rate": 0.00017616897878885453, + "loss": 0.6887, + "step": 660 + }, + { + "epoch": 0.68, + "grad_norm": 0.06921619921922684, + "learning_rate": 0.00017609866927915065, + "loss": 0.695, + "step": 661 + }, + { + "epoch": 0.68, + "grad_norm": 0.07123583555221558, + "learning_rate": 0.00017602827027836152, + "loss": 0.7236, + "step": 662 + }, + { + "epoch": 0.68, + "grad_norm": 0.0664835125207901, + "learning_rate": 0.00017595778186927546, + "loss": 0.692, + "step": 663 + }, + { + "epoch": 0.68, + "grad_norm": 0.06954433768987656, + "learning_rate": 0.00017588720413478596, + "loss": 0.68, + "step": 664 + }, + { + "epoch": 0.69, + "grad_norm": 0.06957016885280609, + "learning_rate": 0.00017581653715789157, + "loss": 0.7483, + "step": 665 + }, + { + "epoch": 0.69, + "grad_norm": 0.07063329964876175, + "learning_rate": 0.00017574578102169577, + "loss": 0.7072, + "step": 666 + }, + { + "epoch": 0.69, + "grad_norm": 0.07582032680511475, + "learning_rate": 0.0001756749358094069, + "loss": 0.7581, + "step": 667 + }, + { + "epoch": 0.69, + "grad_norm": 0.06948222219944, + "learning_rate": 0.00017560400160433802, + "loss": 0.7368, + "step": 668 + }, + { + "epoch": 0.69, + "grad_norm": 0.07247303426265717, + "learning_rate": 0.00017553297848990688, + "loss": 0.743, + "step": 669 + }, + { + "epoch": 0.69, + "grad_norm": 0.07067783176898956, + "learning_rate": 0.00017546186654963578, + "loss": 0.7624, + "step": 670 + }, + { + "epoch": 0.69, + "grad_norm": 0.07306205481290817, + "learning_rate": 0.0001753906658671515, + "loss": 0.7256, + "step": 671 + }, + { + "epoch": 0.69, + "grad_norm": 0.06867087632417679, + "learning_rate": 0.00017531937652618513, + "loss": 0.7204, + "step": 672 + }, + { + "epoch": 0.69, + "grad_norm": 0.07339783757925034, + "learning_rate": 0.000175247998610572, + "loss": 0.752, + "step": 673 + }, + { + "epoch": 0.7, + "grad_norm": 0.0657355785369873, + "learning_rate": 0.00017517653220425173, + "loss": 0.7191, + "step": 674 + }, + { + "epoch": 0.7, + "grad_norm": 0.067570261657238, + "learning_rate": 0.00017510497739126786, + "loss": 0.7149, + "step": 675 + }, + { + "epoch": 0.7, + "grad_norm": 0.0657983049750328, + "learning_rate": 0.000175033334255768, + "loss": 0.6925, + "step": 676 + }, + { + "epoch": 0.7, + "grad_norm": 0.07179775089025497, + "learning_rate": 0.00017496160288200358, + "loss": 0.7144, + "step": 677 + }, + { + "epoch": 0.7, + "grad_norm": 0.06727674603462219, + "learning_rate": 0.00017488978335432974, + "loss": 0.7607, + "step": 678 + }, + { + "epoch": 0.7, + "grad_norm": 0.0738164633512497, + "learning_rate": 0.00017481787575720543, + "loss": 0.7518, + "step": 679 + }, + { + "epoch": 0.7, + "grad_norm": 0.07027100026607513, + "learning_rate": 0.00017474588017519303, + "loss": 0.8125, + "step": 680 + }, + { + "epoch": 0.7, + "grad_norm": 0.06803075224161148, + "learning_rate": 0.00017467379669295846, + "loss": 0.6404, + "step": 681 + }, + { + "epoch": 0.7, + "grad_norm": 0.0729600042104721, + "learning_rate": 0.00017460162539527103, + "loss": 0.7422, + "step": 682 + }, + { + "epoch": 0.7, + "grad_norm": 0.06913101673126221, + "learning_rate": 0.0001745293663670032, + "loss": 0.695, + "step": 683 + }, + { + "epoch": 0.71, + "grad_norm": 0.064353346824646, + "learning_rate": 0.0001744570196931308, + "loss": 0.7335, + "step": 684 + }, + { + "epoch": 0.71, + "grad_norm": 0.06986693292856216, + "learning_rate": 0.00017438458545873252, + "loss": 0.7419, + "step": 685 + }, + { + "epoch": 0.71, + "grad_norm": 0.07011342793703079, + "learning_rate": 0.00017431206374899017, + "loss": 0.6893, + "step": 686 + }, + { + "epoch": 0.71, + "grad_norm": 0.06858572363853455, + "learning_rate": 0.00017423945464918833, + "loss": 0.6907, + "step": 687 + }, + { + "epoch": 0.71, + "grad_norm": 0.08274766802787781, + "learning_rate": 0.00017416675824471448, + "loss": 0.7663, + "step": 688 + }, + { + "epoch": 0.71, + "grad_norm": 0.07006780803203583, + "learning_rate": 0.00017409397462105858, + "loss": 0.7254, + "step": 689 + }, + { + "epoch": 0.71, + "grad_norm": 0.07336114346981049, + "learning_rate": 0.0001740211038638133, + "loss": 0.6293, + "step": 690 + }, + { + "epoch": 0.71, + "grad_norm": 0.07286055386066437, + "learning_rate": 0.00017394814605867378, + "loss": 0.6905, + "step": 691 + }, + { + "epoch": 0.71, + "grad_norm": 0.06696517765522003, + "learning_rate": 0.00017387510129143746, + "loss": 0.7297, + "step": 692 + }, + { + "epoch": 0.71, + "grad_norm": 0.06974443048238754, + "learning_rate": 0.00017380196964800405, + "loss": 0.7166, + "step": 693 + }, + { + "epoch": 0.72, + "grad_norm": 0.06771736592054367, + "learning_rate": 0.0001737287512143755, + "loss": 0.7195, + "step": 694 + }, + { + "epoch": 0.72, + "grad_norm": 0.06780609488487244, + "learning_rate": 0.00017365544607665575, + "loss": 0.6517, + "step": 695 + }, + { + "epoch": 0.72, + "grad_norm": 0.06737010926008224, + "learning_rate": 0.0001735820543210507, + "loss": 0.6878, + "step": 696 + }, + { + "epoch": 0.72, + "grad_norm": 0.07415246218442917, + "learning_rate": 0.00017350857603386815, + "loss": 0.7592, + "step": 697 + }, + { + "epoch": 0.72, + "grad_norm": 0.06827431917190552, + "learning_rate": 0.0001734350113015177, + "loss": 0.7171, + "step": 698 + }, + { + "epoch": 0.72, + "grad_norm": 0.07075396925210953, + "learning_rate": 0.0001733613602105105, + "loss": 0.7731, + "step": 699 + }, + { + "epoch": 0.72, + "grad_norm": 0.0783689022064209, + "learning_rate": 0.00017328762284745937, + "loss": 0.6919, + "step": 700 + }, + { + "epoch": 0.72, + "grad_norm": 0.06844034790992737, + "learning_rate": 0.00017321379929907845, + "loss": 0.6868, + "step": 701 + }, + { + "epoch": 0.72, + "grad_norm": 0.07113159447908401, + "learning_rate": 0.00017313988965218335, + "loss": 0.7393, + "step": 702 + }, + { + "epoch": 0.72, + "grad_norm": 0.06837478280067444, + "learning_rate": 0.00017306589399369092, + "loss": 0.7923, + "step": 703 + }, + { + "epoch": 0.73, + "grad_norm": 0.06957865506410599, + "learning_rate": 0.00017299181241061908, + "loss": 0.6984, + "step": 704 + }, + { + "epoch": 0.73, + "grad_norm": 0.07044649869203568, + "learning_rate": 0.0001729176449900869, + "loss": 0.6994, + "step": 705 + }, + { + "epoch": 0.73, + "grad_norm": 0.06768269091844559, + "learning_rate": 0.00017284339181931427, + "loss": 0.6794, + "step": 706 + }, + { + "epoch": 0.73, + "grad_norm": 0.07598036527633667, + "learning_rate": 0.00017276905298562207, + "loss": 0.6755, + "step": 707 + }, + { + "epoch": 0.73, + "grad_norm": 0.07155588269233704, + "learning_rate": 0.00017269462857643183, + "loss": 0.7878, + "step": 708 + }, + { + "epoch": 0.73, + "grad_norm": 0.07248366624116898, + "learning_rate": 0.00017262011867926567, + "loss": 0.6732, + "step": 709 + }, + { + "epoch": 0.73, + "grad_norm": 0.07186141610145569, + "learning_rate": 0.00017254552338174633, + "loss": 0.6999, + "step": 710 + }, + { + "epoch": 0.73, + "grad_norm": 0.07100434601306915, + "learning_rate": 0.00017247084277159696, + "loss": 0.7418, + "step": 711 + }, + { + "epoch": 0.73, + "grad_norm": 0.06756517291069031, + "learning_rate": 0.000172396076936641, + "loss": 0.6875, + "step": 712 + }, + { + "epoch": 0.74, + "grad_norm": 0.06727565079927444, + "learning_rate": 0.00017232122596480217, + "loss": 0.7311, + "step": 713 + }, + { + "epoch": 0.74, + "grad_norm": 0.06914009153842926, + "learning_rate": 0.00017224628994410427, + "loss": 0.7064, + "step": 714 + }, + { + "epoch": 0.74, + "grad_norm": 0.06864607334136963, + "learning_rate": 0.0001721712689626711, + "loss": 0.7255, + "step": 715 + }, + { + "epoch": 0.74, + "grad_norm": 0.07154612243175507, + "learning_rate": 0.00017209616310872642, + "loss": 0.7724, + "step": 716 + }, + { + "epoch": 0.74, + "grad_norm": 0.07429131865501404, + "learning_rate": 0.00017202097247059382, + "loss": 0.6746, + "step": 717 + }, + { + "epoch": 0.74, + "grad_norm": 0.07139010727405548, + "learning_rate": 0.00017194569713669644, + "loss": 0.6725, + "step": 718 + }, + { + "epoch": 0.74, + "grad_norm": 0.07144646346569061, + "learning_rate": 0.00017187033719555722, + "loss": 0.7501, + "step": 719 + }, + { + "epoch": 0.74, + "grad_norm": 0.06815102696418762, + "learning_rate": 0.0001717948927357985, + "loss": 0.6723, + "step": 720 + }, + { + "epoch": 0.74, + "grad_norm": 0.06780737638473511, + "learning_rate": 0.00017171936384614202, + "loss": 0.6887, + "step": 721 + }, + { + "epoch": 0.74, + "grad_norm": 0.07604995369911194, + "learning_rate": 0.00017164375061540877, + "loss": 0.6663, + "step": 722 + }, + { + "epoch": 0.75, + "grad_norm": 0.07561536878347397, + "learning_rate": 0.00017156805313251904, + "loss": 0.7449, + "step": 723 + }, + { + "epoch": 0.75, + "grad_norm": 0.07025757431983948, + "learning_rate": 0.00017149227148649204, + "loss": 0.7432, + "step": 724 + }, + { + "epoch": 0.75, + "grad_norm": 0.07664772123098373, + "learning_rate": 0.0001714164057664461, + "loss": 0.751, + "step": 725 + }, + { + "epoch": 0.75, + "grad_norm": 0.07072637230157852, + "learning_rate": 0.00017134045606159837, + "loss": 0.7884, + "step": 726 + }, + { + "epoch": 0.75, + "grad_norm": 0.06859525293111801, + "learning_rate": 0.0001712644224612647, + "loss": 0.7368, + "step": 727 + }, + { + "epoch": 0.75, + "grad_norm": 0.06537380814552307, + "learning_rate": 0.00017118830505485967, + "loss": 0.716, + "step": 728 + }, + { + "epoch": 0.75, + "grad_norm": 0.06966748833656311, + "learning_rate": 0.00017111210393189644, + "loss": 0.7058, + "step": 729 + }, + { + "epoch": 0.75, + "eval_loss": 0.8200334310531616, + "eval_runtime": 111.8923, + "eval_samples_per_second": 88.818, + "eval_steps_per_second": 22.209, + "step": 729 + }, + { + "epoch": 0.75, + "grad_norm": 0.06748418509960175, + "learning_rate": 0.00017103581918198656, + "loss": 0.6189, + "step": 730 + }, + { + "epoch": 0.75, + "grad_norm": 0.0700392946600914, + "learning_rate": 0.0001709594508948399, + "loss": 0.671, + "step": 731 + }, + { + "epoch": 0.75, + "grad_norm": 0.07225173711776733, + "learning_rate": 0.0001708829991602647, + "loss": 0.6932, + "step": 732 + }, + { + "epoch": 0.76, + "grad_norm": 0.07260441780090332, + "learning_rate": 0.00017080646406816716, + "loss": 0.6667, + "step": 733 + }, + { + "epoch": 0.76, + "grad_norm": 0.07659890502691269, + "learning_rate": 0.00017072984570855164, + "loss": 0.7625, + "step": 734 + }, + { + "epoch": 0.76, + "grad_norm": 0.07129763811826706, + "learning_rate": 0.0001706531441715203, + "loss": 0.6938, + "step": 735 + }, + { + "epoch": 0.76, + "grad_norm": 0.07404035329818726, + "learning_rate": 0.00017057635954727336, + "loss": 0.7061, + "step": 736 + }, + { + "epoch": 0.76, + "grad_norm": 0.07175761461257935, + "learning_rate": 0.00017049949192610844, + "loss": 0.7886, + "step": 737 + }, + { + "epoch": 0.76, + "grad_norm": 0.06855437159538269, + "learning_rate": 0.00017042254139842088, + "loss": 0.7088, + "step": 738 + }, + { + "epoch": 0.76, + "grad_norm": 0.07093068957328796, + "learning_rate": 0.00017034550805470366, + "loss": 0.6564, + "step": 739 + }, + { + "epoch": 0.76, + "grad_norm": 0.07080741226673126, + "learning_rate": 0.00017026839198554692, + "loss": 0.6722, + "step": 740 + }, + { + "epoch": 0.76, + "grad_norm": 0.0733497142791748, + "learning_rate": 0.0001701911932816383, + "loss": 0.7528, + "step": 741 + }, + { + "epoch": 0.77, + "grad_norm": 0.07160144299268723, + "learning_rate": 0.0001701139120337624, + "loss": 0.6859, + "step": 742 + }, + { + "epoch": 0.77, + "grad_norm": 0.07589136064052582, + "learning_rate": 0.00017003654833280108, + "loss": 0.7875, + "step": 743 + }, + { + "epoch": 0.77, + "grad_norm": 0.07213631272315979, + "learning_rate": 0.000169959102269733, + "loss": 0.6945, + "step": 744 + }, + { + "epoch": 0.77, + "grad_norm": 0.07278650999069214, + "learning_rate": 0.00016988157393563392, + "loss": 0.7683, + "step": 745 + }, + { + "epoch": 0.77, + "grad_norm": 0.0748310461640358, + "learning_rate": 0.00016980396342167607, + "loss": 0.7254, + "step": 746 + }, + { + "epoch": 0.77, + "grad_norm": 0.07376185059547424, + "learning_rate": 0.00016972627081912847, + "loss": 0.7203, + "step": 747 + }, + { + "epoch": 0.77, + "grad_norm": 0.07464928179979324, + "learning_rate": 0.00016964849621935665, + "loss": 0.7687, + "step": 748 + }, + { + "epoch": 0.77, + "grad_norm": 0.06802686303853989, + "learning_rate": 0.00016957063971382257, + "loss": 0.9044, + "step": 749 + }, + { + "epoch": 0.77, + "grad_norm": 0.07590179145336151, + "learning_rate": 0.00016949270139408453, + "loss": 0.7479, + "step": 750 + }, + { + "epoch": 0.77, + "grad_norm": 0.07608579099178314, + "learning_rate": 0.00016941468135179698, + "loss": 0.7025, + "step": 751 + }, + { + "epoch": 0.78, + "grad_norm": 0.07457372546195984, + "learning_rate": 0.00016933657967871057, + "loss": 0.7219, + "step": 752 + }, + { + "epoch": 0.78, + "grad_norm": 0.07248198240995407, + "learning_rate": 0.00016925839646667184, + "loss": 0.7408, + "step": 753 + }, + { + "epoch": 0.78, + "grad_norm": 0.07194027304649353, + "learning_rate": 0.00016918013180762333, + "loss": 0.7088, + "step": 754 + }, + { + "epoch": 0.78, + "grad_norm": 0.0747242271900177, + "learning_rate": 0.00016910178579360323, + "loss": 0.6723, + "step": 755 + }, + { + "epoch": 0.78, + "grad_norm": 0.07224127650260925, + "learning_rate": 0.00016902335851674553, + "loss": 0.7307, + "step": 756 + }, + { + "epoch": 0.78, + "grad_norm": 0.08432527631521225, + "learning_rate": 0.00016894485006927973, + "loss": 0.6041, + "step": 757 + }, + { + "epoch": 0.78, + "grad_norm": 0.06535546481609344, + "learning_rate": 0.00016886626054353073, + "loss": 0.7007, + "step": 758 + }, + { + "epoch": 0.78, + "grad_norm": 0.0744195505976677, + "learning_rate": 0.00016878759003191888, + "loss": 0.7543, + "step": 759 + }, + { + "epoch": 0.78, + "grad_norm": 0.0689319595694542, + "learning_rate": 0.0001687088386269597, + "loss": 0.6784, + "step": 760 + }, + { + "epoch": 0.78, + "grad_norm": 0.06821681559085846, + "learning_rate": 0.0001686300064212639, + "loss": 0.6312, + "step": 761 + }, + { + "epoch": 0.79, + "grad_norm": 0.07716275751590729, + "learning_rate": 0.00016855109350753707, + "loss": 0.7033, + "step": 762 + }, + { + "epoch": 0.79, + "grad_norm": 0.07511652261018753, + "learning_rate": 0.00016847209997857996, + "loss": 0.7273, + "step": 763 + }, + { + "epoch": 0.79, + "grad_norm": 0.07603703439235687, + "learning_rate": 0.00016839302592728782, + "loss": 0.7864, + "step": 764 + }, + { + "epoch": 0.79, + "grad_norm": 0.0709453672170639, + "learning_rate": 0.00016831387144665088, + "loss": 0.663, + "step": 765 + }, + { + "epoch": 0.79, + "grad_norm": 0.07530734688043594, + "learning_rate": 0.0001682346366297537, + "loss": 0.6986, + "step": 766 + }, + { + "epoch": 0.79, + "grad_norm": 0.09247121959924698, + "learning_rate": 0.00016815532156977555, + "loss": 0.687, + "step": 767 + }, + { + "epoch": 0.79, + "grad_norm": 0.06963692605495453, + "learning_rate": 0.00016807592635998986, + "loss": 0.6596, + "step": 768 + }, + { + "epoch": 0.79, + "grad_norm": 0.0712541937828064, + "learning_rate": 0.00016799645109376446, + "loss": 0.7263, + "step": 769 + }, + { + "epoch": 0.79, + "grad_norm": 0.07108648121356964, + "learning_rate": 0.00016791689586456124, + "loss": 0.7563, + "step": 770 + }, + { + "epoch": 0.8, + "grad_norm": 0.07317429780960083, + "learning_rate": 0.0001678372607659362, + "loss": 0.6971, + "step": 771 + }, + { + "epoch": 0.8, + "grad_norm": 0.07137763500213623, + "learning_rate": 0.00016775754589153913, + "loss": 0.6823, + "step": 772 + }, + { + "epoch": 0.8, + "grad_norm": 0.07120873034000397, + "learning_rate": 0.00016767775133511384, + "loss": 0.6653, + "step": 773 + }, + { + "epoch": 0.8, + "grad_norm": 0.07151015102863312, + "learning_rate": 0.00016759787719049766, + "loss": 0.655, + "step": 774 + }, + { + "epoch": 0.8, + "grad_norm": 0.07391924411058426, + "learning_rate": 0.00016751792355162163, + "loss": 0.7302, + "step": 775 + }, + { + "epoch": 0.8, + "grad_norm": 0.07449232786893845, + "learning_rate": 0.0001674378905125102, + "loss": 0.734, + "step": 776 + }, + { + "epoch": 0.8, + "grad_norm": 0.06854017078876495, + "learning_rate": 0.0001673577781672812, + "loss": 0.7211, + "step": 777 + }, + { + "epoch": 0.8, + "grad_norm": 0.07284322381019592, + "learning_rate": 0.00016727758661014587, + "loss": 0.6797, + "step": 778 + }, + { + "epoch": 0.8, + "grad_norm": 0.07225552201271057, + "learning_rate": 0.00016719731593540832, + "loss": 0.6995, + "step": 779 + }, + { + "epoch": 0.8, + "grad_norm": 0.07095993310213089, + "learning_rate": 0.00016711696623746596, + "loss": 0.7113, + "step": 780 + }, + { + "epoch": 0.81, + "grad_norm": 0.07299510389566422, + "learning_rate": 0.000167036537610809, + "loss": 0.6578, + "step": 781 + }, + { + "epoch": 0.81, + "grad_norm": 0.07212400436401367, + "learning_rate": 0.0001669560301500205, + "loss": 0.6849, + "step": 782 + }, + { + "epoch": 0.81, + "grad_norm": 0.07263436913490295, + "learning_rate": 0.00016687544394977625, + "loss": 0.7493, + "step": 783 + }, + { + "epoch": 0.81, + "grad_norm": 0.06992338597774506, + "learning_rate": 0.00016679477910484463, + "loss": 0.7447, + "step": 784 + }, + { + "epoch": 0.81, + "grad_norm": 0.07319390028715134, + "learning_rate": 0.00016671403571008643, + "loss": 0.6864, + "step": 785 + }, + { + "epoch": 0.81, + "grad_norm": 0.07034803926944733, + "learning_rate": 0.0001666332138604549, + "loss": 0.6968, + "step": 786 + }, + { + "epoch": 0.81, + "grad_norm": 0.06971286237239838, + "learning_rate": 0.00016655231365099557, + "loss": 0.642, + "step": 787 + }, + { + "epoch": 0.81, + "grad_norm": 0.07530028373003006, + "learning_rate": 0.000166471335176846, + "loss": 0.64, + "step": 788 + }, + { + "epoch": 0.81, + "grad_norm": 0.06948436051607132, + "learning_rate": 0.00016639027853323596, + "loss": 0.7564, + "step": 789 + }, + { + "epoch": 0.81, + "grad_norm": 0.07382038235664368, + "learning_rate": 0.00016630914381548695, + "loss": 0.8079, + "step": 790 + }, + { + "epoch": 0.82, + "grad_norm": 0.08063971996307373, + "learning_rate": 0.00016622793111901245, + "loss": 0.6679, + "step": 791 + }, + { + "epoch": 0.82, + "grad_norm": 0.065667524933815, + "learning_rate": 0.00016614664053931757, + "loss": 0.6448, + "step": 792 + }, + { + "epoch": 0.82, + "grad_norm": 0.07058931887149811, + "learning_rate": 0.00016606527217199899, + "loss": 0.6972, + "step": 793 + }, + { + "epoch": 0.82, + "grad_norm": 0.06650307774543762, + "learning_rate": 0.00016598382611274492, + "loss": 0.6352, + "step": 794 + }, + { + "epoch": 0.82, + "grad_norm": 0.0777771845459938, + "learning_rate": 0.0001659023024573349, + "loss": 0.6967, + "step": 795 + }, + { + "epoch": 0.82, + "grad_norm": 0.07293581962585449, + "learning_rate": 0.00016582070130163973, + "loss": 0.7427, + "step": 796 + }, + { + "epoch": 0.82, + "grad_norm": 0.0743393748998642, + "learning_rate": 0.00016573902274162134, + "loss": 0.7339, + "step": 797 + }, + { + "epoch": 0.82, + "grad_norm": 0.07685486972332001, + "learning_rate": 0.00016565726687333275, + "loss": 0.7306, + "step": 798 + }, + { + "epoch": 0.82, + "grad_norm": 0.07364094257354736, + "learning_rate": 0.00016557543379291776, + "loss": 0.7842, + "step": 799 + }, + { + "epoch": 0.82, + "grad_norm": 0.07045711576938629, + "learning_rate": 0.00016549352359661112, + "loss": 0.6929, + "step": 800 + }, + { + "epoch": 0.83, + "grad_norm": 0.07396701723337173, + "learning_rate": 0.00016541153638073816, + "loss": 0.7083, + "step": 801 + }, + { + "epoch": 0.83, + "grad_norm": 0.07448946684598923, + "learning_rate": 0.0001653294722417148, + "loss": 0.6738, + "step": 802 + }, + { + "epoch": 0.83, + "grad_norm": 0.07139252871274948, + "learning_rate": 0.00016524733127604754, + "loss": 0.7071, + "step": 803 + }, + { + "epoch": 0.83, + "grad_norm": 0.07060480862855911, + "learning_rate": 0.000165165113580333, + "loss": 0.6935, + "step": 804 + }, + { + "epoch": 0.83, + "grad_norm": 0.0778721421957016, + "learning_rate": 0.0001650828192512583, + "loss": 0.7127, + "step": 805 + }, + { + "epoch": 0.83, + "grad_norm": 0.07079839706420898, + "learning_rate": 0.00016500044838560043, + "loss": 0.7437, + "step": 806 + }, + { + "epoch": 0.83, + "grad_norm": 0.07176418602466583, + "learning_rate": 0.00016491800108022657, + "loss": 0.6958, + "step": 807 + }, + { + "epoch": 0.83, + "grad_norm": 0.07123876363039017, + "learning_rate": 0.00016483547743209367, + "loss": 0.6034, + "step": 808 + }, + { + "epoch": 0.83, + "grad_norm": 0.07393837720155716, + "learning_rate": 0.00016475287753824853, + "loss": 0.7054, + "step": 809 + }, + { + "epoch": 0.84, + "grad_norm": 0.07148581743240356, + "learning_rate": 0.00016467020149582763, + "loss": 0.7549, + "step": 810 + }, + { + "epoch": 0.84, + "grad_norm": 0.07241423428058624, + "learning_rate": 0.0001645874494020569, + "loss": 0.6807, + "step": 811 + }, + { + "epoch": 0.84, + "grad_norm": 0.067020945250988, + "learning_rate": 0.00016450462135425187, + "loss": 0.6689, + "step": 812 + }, + { + "epoch": 0.84, + "grad_norm": 0.07124791294336319, + "learning_rate": 0.00016442171744981713, + "loss": 0.7972, + "step": 813 + }, + { + "epoch": 0.84, + "grad_norm": 0.06952305883169174, + "learning_rate": 0.00016433873778624682, + "loss": 0.6847, + "step": 814 + }, + { + "epoch": 0.84, + "grad_norm": 0.07224664092063904, + "learning_rate": 0.00016425568246112383, + "loss": 0.7467, + "step": 815 + }, + { + "epoch": 0.84, + "grad_norm": 0.07566121965646744, + "learning_rate": 0.00016417255157212033, + "loss": 0.6625, + "step": 816 + }, + { + "epoch": 0.84, + "grad_norm": 0.07257838547229767, + "learning_rate": 0.00016408934521699707, + "loss": 0.6801, + "step": 817 + }, + { + "epoch": 0.84, + "grad_norm": 0.06923528760671616, + "learning_rate": 0.00016400606349360375, + "loss": 0.6777, + "step": 818 + }, + { + "epoch": 0.84, + "grad_norm": 0.07393685728311539, + "learning_rate": 0.0001639227064998787, + "loss": 0.654, + "step": 819 + }, + { + "epoch": 0.85, + "grad_norm": 0.07075174897909164, + "learning_rate": 0.00016383927433384857, + "loss": 0.7084, + "step": 820 + }, + { + "epoch": 0.85, + "grad_norm": 0.07403064519166946, + "learning_rate": 0.00016375576709362868, + "loss": 0.6926, + "step": 821 + }, + { + "epoch": 0.85, + "grad_norm": 0.07139717042446136, + "learning_rate": 0.00016367218487742239, + "loss": 0.7008, + "step": 822 + }, + { + "epoch": 0.85, + "grad_norm": 0.07197099924087524, + "learning_rate": 0.00016358852778352142, + "loss": 0.758, + "step": 823 + }, + { + "epoch": 0.85, + "grad_norm": 0.07550374418497086, + "learning_rate": 0.0001635047959103054, + "loss": 0.7896, + "step": 824 + }, + { + "epoch": 0.85, + "grad_norm": 0.09666828066110611, + "learning_rate": 0.00016342098935624204, + "loss": 0.6539, + "step": 825 + }, + { + "epoch": 0.85, + "grad_norm": 0.06977133452892303, + "learning_rate": 0.00016333710821988677, + "loss": 0.7262, + "step": 826 + }, + { + "epoch": 0.85, + "grad_norm": 0.06979740411043167, + "learning_rate": 0.00016325315259988274, + "loss": 0.7076, + "step": 827 + }, + { + "epoch": 0.85, + "grad_norm": 0.06903263181447983, + "learning_rate": 0.00016316912259496075, + "loss": 0.7015, + "step": 828 + }, + { + "epoch": 0.85, + "grad_norm": 0.07616313546895981, + "learning_rate": 0.000163085018303939, + "loss": 0.7447, + "step": 829 + }, + { + "epoch": 0.86, + "grad_norm": 0.07552159577608109, + "learning_rate": 0.00016300083982572313, + "loss": 0.7927, + "step": 830 + }, + { + "epoch": 0.86, + "grad_norm": 0.07039552181959152, + "learning_rate": 0.00016291658725930592, + "loss": 0.7102, + "step": 831 + }, + { + "epoch": 0.86, + "grad_norm": 0.0684932991862297, + "learning_rate": 0.00016283226070376737, + "loss": 0.6915, + "step": 832 + }, + { + "epoch": 0.86, + "grad_norm": 0.07504136115312576, + "learning_rate": 0.00016274786025827445, + "loss": 0.7161, + "step": 833 + }, + { + "epoch": 0.86, + "grad_norm": 0.07205895334482193, + "learning_rate": 0.0001626633860220811, + "loss": 0.751, + "step": 834 + }, + { + "epoch": 0.86, + "grad_norm": 0.07040917873382568, + "learning_rate": 0.00016257883809452786, + "loss": 0.6841, + "step": 835 + }, + { + "epoch": 0.86, + "grad_norm": 0.07174846529960632, + "learning_rate": 0.00016249421657504209, + "loss": 0.6553, + "step": 836 + }, + { + "epoch": 0.86, + "grad_norm": 0.08638732880353928, + "learning_rate": 0.0001624095215631376, + "loss": 0.6641, + "step": 837 + }, + { + "epoch": 0.86, + "grad_norm": 0.06990225613117218, + "learning_rate": 0.00016232475315841474, + "loss": 0.674, + "step": 838 + }, + { + "epoch": 0.87, + "grad_norm": 0.0807608887553215, + "learning_rate": 0.00016223991146056002, + "loss": 0.7398, + "step": 839 + }, + { + "epoch": 0.87, + "grad_norm": 0.0735122337937355, + "learning_rate": 0.0001621549965693463, + "loss": 0.7068, + "step": 840 + }, + { + "epoch": 0.87, + "grad_norm": 0.07527075707912445, + "learning_rate": 0.00016207000858463238, + "loss": 0.7135, + "step": 841 + }, + { + "epoch": 0.87, + "grad_norm": 0.07502257823944092, + "learning_rate": 0.00016198494760636303, + "loss": 0.8198, + "step": 842 + }, + { + "epoch": 0.87, + "grad_norm": 0.0750960186123848, + "learning_rate": 0.00016189981373456897, + "loss": 0.6907, + "step": 843 + }, + { + "epoch": 0.87, + "grad_norm": 0.06994899362325668, + "learning_rate": 0.00016181460706936654, + "loss": 0.7043, + "step": 844 + }, + { + "epoch": 0.87, + "grad_norm": 0.0717443972826004, + "learning_rate": 0.00016172932771095773, + "loss": 0.8281, + "step": 845 + }, + { + "epoch": 0.87, + "grad_norm": 0.06987167149782181, + "learning_rate": 0.00016164397575962997, + "loss": 0.7121, + "step": 846 + }, + { + "epoch": 0.87, + "grad_norm": 0.0782201811671257, + "learning_rate": 0.00016155855131575614, + "loss": 0.7374, + "step": 847 + }, + { + "epoch": 0.87, + "grad_norm": 0.07733765989542007, + "learning_rate": 0.00016147305447979427, + "loss": 0.7465, + "step": 848 + }, + { + "epoch": 0.88, + "grad_norm": 0.07451386749744415, + "learning_rate": 0.00016138748535228758, + "loss": 0.6913, + "step": 849 + }, + { + "epoch": 0.88, + "grad_norm": 0.07971774786710739, + "learning_rate": 0.00016130184403386432, + "loss": 0.6886, + "step": 850 + }, + { + "epoch": 0.88, + "grad_norm": 0.07056500762701035, + "learning_rate": 0.0001612161306252376, + "loss": 0.6443, + "step": 851 + }, + { + "epoch": 0.88, + "grad_norm": 0.07071709632873535, + "learning_rate": 0.00016113034522720533, + "loss": 0.6901, + "step": 852 + }, + { + "epoch": 0.88, + "grad_norm": 0.0736258253455162, + "learning_rate": 0.00016104448794065004, + "loss": 0.7571, + "step": 853 + }, + { + "epoch": 0.88, + "grad_norm": 0.08299355953931808, + "learning_rate": 0.00016095855886653885, + "loss": 0.6946, + "step": 854 + }, + { + "epoch": 0.88, + "grad_norm": 0.0706866979598999, + "learning_rate": 0.00016087255810592327, + "loss": 0.7256, + "step": 855 + }, + { + "epoch": 0.88, + "grad_norm": 0.07274890691041946, + "learning_rate": 0.0001607864857599391, + "loss": 0.7055, + "step": 856 + }, + { + "epoch": 0.88, + "grad_norm": 0.07094918936491013, + "learning_rate": 0.00016070034192980638, + "loss": 0.6784, + "step": 857 + }, + { + "epoch": 0.88, + "grad_norm": 0.0819023996591568, + "learning_rate": 0.00016061412671682917, + "loss": 0.6779, + "step": 858 + }, + { + "epoch": 0.89, + "grad_norm": 0.07570182532072067, + "learning_rate": 0.00016052784022239547, + "loss": 0.7238, + "step": 859 + }, + { + "epoch": 0.89, + "grad_norm": 0.07302212715148926, + "learning_rate": 0.00016044148254797715, + "loss": 0.6488, + "step": 860 + }, + { + "epoch": 0.89, + "grad_norm": 0.06959427148103714, + "learning_rate": 0.00016035505379512975, + "loss": 0.683, + "step": 861 + }, + { + "epoch": 0.89, + "grad_norm": 0.07809410244226456, + "learning_rate": 0.00016026855406549238, + "loss": 0.6587, + "step": 862 + }, + { + "epoch": 0.89, + "grad_norm": 0.08332572132349014, + "learning_rate": 0.00016018198346078762, + "loss": 0.7443, + "step": 863 + }, + { + "epoch": 0.89, + "grad_norm": 0.07175584137439728, + "learning_rate": 0.00016009534208282148, + "loss": 0.6607, + "step": 864 + }, + { + "epoch": 0.89, + "grad_norm": 0.07386159151792526, + "learning_rate": 0.00016000863003348315, + "loss": 0.7377, + "step": 865 + }, + { + "epoch": 0.89, + "grad_norm": 0.07763604819774628, + "learning_rate": 0.0001599218474147448, + "loss": 0.7269, + "step": 866 + }, + { + "epoch": 0.89, + "grad_norm": 0.08228732645511627, + "learning_rate": 0.00015983499432866186, + "loss": 0.7337, + "step": 867 + }, + { + "epoch": 0.9, + "grad_norm": 0.0716525986790657, + "learning_rate": 0.0001597480708773724, + "loss": 0.6779, + "step": 868 + }, + { + "epoch": 0.9, + "grad_norm": 0.07602430880069733, + "learning_rate": 0.00015966107716309727, + "loss": 0.6689, + "step": 869 + }, + { + "epoch": 0.9, + "grad_norm": 0.07297798246145248, + "learning_rate": 0.00015957401328814007, + "loss": 0.7421, + "step": 870 + }, + { + "epoch": 0.9, + "grad_norm": 0.07451054453849792, + "learning_rate": 0.0001594868793548868, + "loss": 0.7841, + "step": 871 + }, + { + "epoch": 0.9, + "grad_norm": 0.0786144807934761, + "learning_rate": 0.0001593996754658059, + "loss": 0.6227, + "step": 872 + }, + { + "epoch": 0.9, + "grad_norm": 0.07301963865756989, + "learning_rate": 0.000159312401723448, + "loss": 0.7599, + "step": 873 + }, + { + "epoch": 0.9, + "grad_norm": 0.07685115933418274, + "learning_rate": 0.00015922505823044597, + "loss": 0.7269, + "step": 874 + }, + { + "epoch": 0.9, + "grad_norm": 0.08059655129909515, + "learning_rate": 0.0001591376450895147, + "loss": 0.7869, + "step": 875 + }, + { + "epoch": 0.9, + "grad_norm": 0.07008222490549088, + "learning_rate": 0.00015905016240345087, + "loss": 0.6547, + "step": 876 + }, + { + "epoch": 0.9, + "grad_norm": 0.0795569196343422, + "learning_rate": 0.0001589626102751331, + "loss": 0.7661, + "step": 877 + }, + { + "epoch": 0.91, + "grad_norm": 0.07241260260343552, + "learning_rate": 0.00015887498880752155, + "loss": 0.7443, + "step": 878 + }, + { + "epoch": 0.91, + "grad_norm": 0.07290566712617874, + "learning_rate": 0.000158787298103658, + "loss": 0.7087, + "step": 879 + }, + { + "epoch": 0.91, + "grad_norm": 0.07114351540803909, + "learning_rate": 0.0001586995382666656, + "loss": 0.7609, + "step": 880 + }, + { + "epoch": 0.91, + "grad_norm": 0.07909577339887619, + "learning_rate": 0.0001586117093997489, + "loss": 0.7302, + "step": 881 + }, + { + "epoch": 0.91, + "grad_norm": 0.06962461024522781, + "learning_rate": 0.00015852381160619343, + "loss": 0.7363, + "step": 882 + }, + { + "epoch": 0.91, + "grad_norm": 0.07440977543592453, + "learning_rate": 0.000158435844989366, + "loss": 0.696, + "step": 883 + }, + { + "epoch": 0.91, + "grad_norm": 0.0998484343290329, + "learning_rate": 0.0001583478096527142, + "loss": 0.7897, + "step": 884 + }, + { + "epoch": 0.91, + "grad_norm": 0.08223816752433777, + "learning_rate": 0.0001582597056997665, + "loss": 0.6683, + "step": 885 + }, + { + "epoch": 0.91, + "grad_norm": 0.07521655410528183, + "learning_rate": 0.00015817153323413206, + "loss": 0.7025, + "step": 886 + }, + { + "epoch": 0.91, + "grad_norm": 0.07854367047548294, + "learning_rate": 0.0001580832923595006, + "loss": 0.6931, + "step": 887 + }, + { + "epoch": 0.92, + "grad_norm": 0.07404212653636932, + "learning_rate": 0.00015799498317964225, + "loss": 0.7398, + "step": 888 + }, + { + "epoch": 0.92, + "grad_norm": 0.07481147348880768, + "learning_rate": 0.00015790660579840753, + "loss": 0.6826, + "step": 889 + }, + { + "epoch": 0.92, + "grad_norm": 0.07364954799413681, + "learning_rate": 0.00015781816031972717, + "loss": 0.6833, + "step": 890 + }, + { + "epoch": 0.92, + "grad_norm": 0.07147948443889618, + "learning_rate": 0.00015772964684761186, + "loss": 0.6816, + "step": 891 + }, + { + "epoch": 0.92, + "grad_norm": 0.07281176000833511, + "learning_rate": 0.00015764106548615242, + "loss": 0.7211, + "step": 892 + }, + { + "epoch": 0.92, + "grad_norm": 0.07681546360254288, + "learning_rate": 0.0001575524163395194, + "loss": 0.6958, + "step": 893 + }, + { + "epoch": 0.92, + "grad_norm": 0.07273909449577332, + "learning_rate": 0.0001574636995119631, + "loss": 0.7166, + "step": 894 + }, + { + "epoch": 0.92, + "grad_norm": 0.08109702169895172, + "learning_rate": 0.0001573749151078134, + "loss": 0.734, + "step": 895 + }, + { + "epoch": 0.92, + "grad_norm": 0.07343237847089767, + "learning_rate": 0.00015728606323147965, + "loss": 0.6613, + "step": 896 + }, + { + "epoch": 0.92, + "grad_norm": 0.06834150850772858, + "learning_rate": 0.0001571971439874505, + "loss": 0.6678, + "step": 897 + }, + { + "epoch": 0.93, + "grad_norm": 0.07291509956121445, + "learning_rate": 0.00015710815748029396, + "loss": 0.682, + "step": 898 + }, + { + "epoch": 0.93, + "grad_norm": 0.07433850318193436, + "learning_rate": 0.00015701910381465695, + "loss": 0.6787, + "step": 899 + }, + { + "epoch": 0.93, + "grad_norm": 0.06953968852758408, + "learning_rate": 0.00015692998309526556, + "loss": 0.6631, + "step": 900 + }, + { + "epoch": 0.93, + "grad_norm": 0.07962784171104431, + "learning_rate": 0.0001568407954269246, + "loss": 0.696, + "step": 901 + }, + { + "epoch": 0.93, + "grad_norm": 0.07209240645170212, + "learning_rate": 0.00015675154091451764, + "loss": 0.7159, + "step": 902 + }, + { + "epoch": 0.93, + "grad_norm": 0.0718846246600151, + "learning_rate": 0.00015666221966300693, + "loss": 0.7385, + "step": 903 + }, + { + "epoch": 0.93, + "grad_norm": 0.07707607001066208, + "learning_rate": 0.00015657283177743307, + "loss": 0.7408, + "step": 904 + }, + { + "epoch": 0.93, + "grad_norm": 0.0742068812251091, + "learning_rate": 0.00015648337736291515, + "loss": 0.7541, + "step": 905 + }, + { + "epoch": 0.93, + "grad_norm": 0.07085248082876205, + "learning_rate": 0.00015639385652465047, + "loss": 0.6785, + "step": 906 + }, + { + "epoch": 0.94, + "grad_norm": 0.07351714372634888, + "learning_rate": 0.00015630426936791433, + "loss": 0.7232, + "step": 907 + }, + { + "epoch": 0.94, + "grad_norm": 0.0779218003153801, + "learning_rate": 0.0001562146159980602, + "loss": 0.7737, + "step": 908 + }, + { + "epoch": 0.94, + "grad_norm": 0.07323803752660751, + "learning_rate": 0.00015612489652051928, + "loss": 0.6536, + "step": 909 + }, + { + "epoch": 0.94, + "grad_norm": 0.08168342709541321, + "learning_rate": 0.00015603511104080056, + "loss": 0.7553, + "step": 910 + }, + { + "epoch": 0.94, + "grad_norm": 0.08360809832811356, + "learning_rate": 0.00015594525966449062, + "loss": 0.6522, + "step": 911 + }, + { + "epoch": 0.94, + "grad_norm": 0.07412074506282806, + "learning_rate": 0.00015585534249725359, + "loss": 0.7589, + "step": 912 + }, + { + "epoch": 0.94, + "grad_norm": 0.07159864902496338, + "learning_rate": 0.00015576535964483094, + "loss": 0.6933, + "step": 913 + }, + { + "epoch": 0.94, + "grad_norm": 0.0748409703373909, + "learning_rate": 0.00015567531121304134, + "loss": 0.7603, + "step": 914 + }, + { + "epoch": 0.94, + "grad_norm": 0.08181232959032059, + "learning_rate": 0.00015558519730778068, + "loss": 0.6875, + "step": 915 + }, + { + "epoch": 0.94, + "grad_norm": 0.08348861336708069, + "learning_rate": 0.00015549501803502173, + "loss": 0.6878, + "step": 916 + }, + { + "epoch": 0.95, + "grad_norm": 0.07457895576953888, + "learning_rate": 0.00015540477350081423, + "loss": 0.7035, + "step": 917 + }, + { + "epoch": 0.95, + "grad_norm": 0.07142025232315063, + "learning_rate": 0.00015531446381128464, + "loss": 0.6809, + "step": 918 + }, + { + "epoch": 0.95, + "grad_norm": 0.07224272936582565, + "learning_rate": 0.00015522408907263596, + "loss": 0.6987, + "step": 919 + }, + { + "epoch": 0.95, + "grad_norm": 0.07358361780643463, + "learning_rate": 0.0001551336493911478, + "loss": 0.7223, + "step": 920 + }, + { + "epoch": 0.95, + "grad_norm": 0.07335005700588226, + "learning_rate": 0.00015504314487317612, + "loss": 0.6515, + "step": 921 + }, + { + "epoch": 0.95, + "grad_norm": 0.0723937451839447, + "learning_rate": 0.00015495257562515307, + "loss": 0.7698, + "step": 922 + }, + { + "epoch": 0.95, + "grad_norm": 0.06864594668149948, + "learning_rate": 0.00015486194175358696, + "loss": 0.6483, + "step": 923 + }, + { + "epoch": 0.95, + "grad_norm": 0.07635841518640518, + "learning_rate": 0.00015477124336506207, + "loss": 0.6139, + "step": 924 + }, + { + "epoch": 0.95, + "grad_norm": 0.08424652367830276, + "learning_rate": 0.0001546804805662386, + "loss": 0.6604, + "step": 925 + }, + { + "epoch": 0.95, + "grad_norm": 0.07373332232236862, + "learning_rate": 0.00015458965346385248, + "loss": 0.734, + "step": 926 + }, + { + "epoch": 0.96, + "grad_norm": 0.07332025468349457, + "learning_rate": 0.00015449876216471525, + "loss": 0.7765, + "step": 927 + }, + { + "epoch": 0.96, + "grad_norm": 0.07534317672252655, + "learning_rate": 0.00015440780677571388, + "loss": 0.7436, + "step": 928 + }, + { + "epoch": 0.96, + "grad_norm": 0.08624652773141861, + "learning_rate": 0.00015431678740381085, + "loss": 0.7335, + "step": 929 + }, + { + "epoch": 0.96, + "grad_norm": 0.07540034502744675, + "learning_rate": 0.00015422570415604377, + "loss": 0.6808, + "step": 930 + }, + { + "epoch": 0.96, + "grad_norm": 0.07505679130554199, + "learning_rate": 0.00015413455713952538, + "loss": 0.7086, + "step": 931 + }, + { + "epoch": 0.96, + "grad_norm": 0.08109767735004425, + "learning_rate": 0.0001540433464614435, + "loss": 0.8099, + "step": 932 + }, + { + "epoch": 0.96, + "grad_norm": 0.07563024014234543, + "learning_rate": 0.00015395207222906068, + "loss": 0.7273, + "step": 933 + }, + { + "epoch": 0.96, + "grad_norm": 0.07199395447969437, + "learning_rate": 0.00015386073454971432, + "loss": 0.7727, + "step": 934 + }, + { + "epoch": 0.96, + "grad_norm": 0.08543197810649872, + "learning_rate": 0.00015376933353081635, + "loss": 0.705, + "step": 935 + }, + { + "epoch": 0.97, + "grad_norm": 0.07872208952903748, + "learning_rate": 0.00015367786927985327, + "loss": 0.7509, + "step": 936 + }, + { + "epoch": 0.97, + "grad_norm": 0.0703720971941948, + "learning_rate": 0.00015358634190438592, + "loss": 0.7214, + "step": 937 + }, + { + "epoch": 0.97, + "grad_norm": 0.0741022378206253, + "learning_rate": 0.0001534947515120493, + "loss": 0.7421, + "step": 938 + }, + { + "epoch": 0.97, + "grad_norm": 0.07758384943008423, + "learning_rate": 0.00015340309821055255, + "loss": 0.7013, + "step": 939 + }, + { + "epoch": 0.97, + "grad_norm": 0.07203276455402374, + "learning_rate": 0.00015331138210767885, + "loss": 0.7268, + "step": 940 + }, + { + "epoch": 0.97, + "grad_norm": 0.09579942375421524, + "learning_rate": 0.0001532196033112852, + "loss": 0.6617, + "step": 941 + }, + { + "epoch": 0.97, + "grad_norm": 0.07915519922971725, + "learning_rate": 0.00015312776192930228, + "loss": 0.7223, + "step": 942 + }, + { + "epoch": 0.97, + "grad_norm": 0.07456015795469284, + "learning_rate": 0.00015303585806973445, + "loss": 0.5984, + "step": 943 + }, + { + "epoch": 0.97, + "grad_norm": 0.07331335544586182, + "learning_rate": 0.0001529438918406595, + "loss": 0.6881, + "step": 944 + }, + { + "epoch": 0.97, + "grad_norm": 0.08498119562864304, + "learning_rate": 0.00015285186335022854, + "loss": 0.7509, + "step": 945 + }, + { + "epoch": 0.98, + "grad_norm": 0.08055809885263443, + "learning_rate": 0.0001527597727066659, + "loss": 0.7643, + "step": 946 + }, + { + "epoch": 0.98, + "grad_norm": 0.07158636301755905, + "learning_rate": 0.00015266762001826911, + "loss": 0.6522, + "step": 947 + }, + { + "epoch": 0.98, + "grad_norm": 0.0752343162894249, + "learning_rate": 0.00015257540539340852, + "loss": 0.6749, + "step": 948 + }, + { + "epoch": 0.98, + "grad_norm": 0.07281875610351562, + "learning_rate": 0.0001524831289405274, + "loss": 0.6796, + "step": 949 + }, + { + "epoch": 0.98, + "grad_norm": 0.08019158244132996, + "learning_rate": 0.00015239079076814166, + "loss": 0.6577, + "step": 950 + }, + { + "epoch": 0.98, + "grad_norm": 0.07102995365858078, + "learning_rate": 0.00015229839098483992, + "loss": 0.7034, + "step": 951 + }, + { + "epoch": 0.98, + "grad_norm": 0.07253885269165039, + "learning_rate": 0.00015220592969928315, + "loss": 0.6898, + "step": 952 + }, + { + "epoch": 0.98, + "grad_norm": 0.08555888384580612, + "learning_rate": 0.0001521134070202046, + "loss": 0.6885, + "step": 953 + }, + { + "epoch": 0.98, + "grad_norm": 0.09179149568080902, + "learning_rate": 0.00015202082305640984, + "loss": 0.6164, + "step": 954 + }, + { + "epoch": 0.98, + "grad_norm": 0.07192881405353546, + "learning_rate": 0.00015192817791677646, + "loss": 0.6862, + "step": 955 + }, + { + "epoch": 0.99, + "grad_norm": 0.07520081102848053, + "learning_rate": 0.00015183547171025399, + "loss": 0.6878, + "step": 956 + }, + { + "epoch": 0.99, + "grad_norm": 0.07251414656639099, + "learning_rate": 0.00015174270454586375, + "loss": 0.7239, + "step": 957 + }, + { + "epoch": 0.99, + "grad_norm": 0.0739588811993599, + "learning_rate": 0.00015164987653269876, + "loss": 0.7359, + "step": 958 + }, + { + "epoch": 0.99, + "grad_norm": 0.07903960347175598, + "learning_rate": 0.00015155698777992365, + "loss": 0.6744, + "step": 959 + }, + { + "epoch": 0.99, + "grad_norm": 0.07801897823810577, + "learning_rate": 0.0001514640383967744, + "loss": 0.7226, + "step": 960 + }, + { + "epoch": 0.99, + "grad_norm": 0.0692887008190155, + "learning_rate": 0.0001513710284925583, + "loss": 0.7153, + "step": 961 + }, + { + "epoch": 0.99, + "grad_norm": 0.07592754065990448, + "learning_rate": 0.0001512779581766539, + "loss": 0.7229, + "step": 962 + }, + { + "epoch": 0.99, + "grad_norm": 0.07932160049676895, + "learning_rate": 0.00015118482755851069, + "loss": 0.6589, + "step": 963 + }, + { + "epoch": 0.99, + "grad_norm": 0.07948953658342361, + "learning_rate": 0.0001510916367476491, + "loss": 0.7122, + "step": 964 + }, + { + "epoch": 1.0, + "grad_norm": 0.07656390219926834, + "learning_rate": 0.00015099838585366042, + "loss": 0.7, + "step": 965 + }, + { + "epoch": 1.0, + "grad_norm": 0.07349363714456558, + "learning_rate": 0.00015090507498620649, + "loss": 0.688, + "step": 966 + }, + { + "epoch": 1.0, + "grad_norm": 0.07416553050279617, + "learning_rate": 0.0001508117042550197, + "loss": 0.6698, + "step": 967 + }, + { + "epoch": 1.0, + "grad_norm": 0.07723015546798706, + "learning_rate": 0.0001507182737699029, + "loss": 0.7014, + "step": 968 + }, + { + "epoch": 1.0, + "grad_norm": 0.07453907281160355, + "learning_rate": 0.0001506247836407292, + "loss": 0.6841, + "step": 969 + } + ], + "logging_steps": 1, + "max_steps": 2907, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 969, + "total_flos": 2.8915365125900206e+18, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}