diff --git "a/checkpoint-600/trainer_state.json" "b/checkpoint-600/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-600/trainer_state.json" @@ -0,0 +1,4221 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9113347256502753, + "eval_steps": 500, + "global_step": 600, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0015188912094171254, + "grad_norm": 494.0, + "learning_rate": 5.000000000000001e-07, + "loss": 21.3162, + "step": 1 + }, + { + "epoch": 0.003037782418834251, + "grad_norm": 440.0, + "learning_rate": 1.0000000000000002e-06, + "loss": 19.5214, + "step": 2 + }, + { + "epoch": 0.004556673628251376, + "grad_norm": 462.0, + "learning_rate": 1.5e-06, + "loss": 20.3955, + "step": 3 + }, + { + "epoch": 0.006075564837668502, + "grad_norm": 446.0, + "learning_rate": 2.0000000000000003e-06, + "loss": 19.8595, + "step": 4 + }, + { + "epoch": 0.007594456047085627, + "grad_norm": 440.0, + "learning_rate": 2.5e-06, + "loss": 19.3269, + "step": 5 + }, + { + "epoch": 0.009113347256502752, + "grad_norm": 432.0, + "learning_rate": 3e-06, + "loss": 20.3605, + "step": 6 + }, + { + "epoch": 0.010632238465919878, + "grad_norm": 408.0, + "learning_rate": 3.5e-06, + "loss": 18.9548, + "step": 7 + }, + { + "epoch": 0.012151129675337003, + "grad_norm": 366.0, + "learning_rate": 4.000000000000001e-06, + "loss": 17.6873, + "step": 8 + }, + { + "epoch": 0.013670020884754129, + "grad_norm": 346.0, + "learning_rate": 4.5e-06, + "loss": 17.031, + "step": 9 + }, + { + "epoch": 0.015188912094171255, + "grad_norm": 284.0, + "learning_rate": 5e-06, + "loss": 15.499, + "step": 10 + }, + { + "epoch": 0.01670780330358838, + "grad_norm": 238.0, + "learning_rate": 5.500000000000001e-06, + "loss": 13.135, + "step": 11 + }, + { + "epoch": 0.018226694513005504, + "grad_norm": 248.0, + "learning_rate": 6e-06, + "loss": 12.58, + "step": 12 + }, + { + "epoch": 0.01974558572242263, + "grad_norm": 251.0, + "learning_rate": 6.5000000000000004e-06, + "loss": 10.6039, + "step": 13 + }, + { + "epoch": 0.021264476931839756, + "grad_norm": 180.0, + "learning_rate": 7e-06, + "loss": 9.4173, + "step": 14 + }, + { + "epoch": 0.022783368141256883, + "grad_norm": 108.5, + "learning_rate": 7.500000000000001e-06, + "loss": 8.5445, + "step": 15 + }, + { + "epoch": 0.024302259350674007, + "grad_norm": 81.5, + "learning_rate": 8.000000000000001e-06, + "loss": 8.3828, + "step": 16 + }, + { + "epoch": 0.025821150560091134, + "grad_norm": 67.0, + "learning_rate": 8.5e-06, + "loss": 7.3555, + "step": 17 + }, + { + "epoch": 0.027340041769508258, + "grad_norm": 46.25, + "learning_rate": 9e-06, + "loss": 6.5261, + "step": 18 + }, + { + "epoch": 0.028858932978925386, + "grad_norm": 62.5, + "learning_rate": 9.5e-06, + "loss": 6.4529, + "step": 19 + }, + { + "epoch": 0.03037782418834251, + "grad_norm": 57.25, + "learning_rate": 1e-05, + "loss": 6.1533, + "step": 20 + }, + { + "epoch": 0.03189671539775964, + "grad_norm": 36.75, + "learning_rate": 9.999939382570075e-06, + "loss": 5.6474, + "step": 21 + }, + { + "epoch": 0.03341560660717676, + "grad_norm": 20.375, + "learning_rate": 9.999757531750086e-06, + "loss": 5.379, + "step": 22 + }, + { + "epoch": 0.034934497816593885, + "grad_norm": 17.125, + "learning_rate": 9.999454451949364e-06, + "loss": 5.1134, + "step": 23 + }, + { + "epoch": 0.03645338902601101, + "grad_norm": 11.6875, + "learning_rate": 9.999030150516681e-06, + "loss": 4.8157, + "step": 24 + }, + { + "epoch": 0.03797228023542814, + "grad_norm": 10.1875, + "learning_rate": 9.998484637740058e-06, + "loss": 4.7658, + "step": 25 + }, + { + "epoch": 0.03949117144484526, + "grad_norm": 8.625, + "learning_rate": 9.997817926846528e-06, + "loss": 4.6094, + "step": 26 + }, + { + "epoch": 0.04101006265426239, + "grad_norm": 7.25, + "learning_rate": 9.997030034001815e-06, + "loss": 4.389, + "step": 27 + }, + { + "epoch": 0.04252895386367951, + "grad_norm": 6.78125, + "learning_rate": 9.99612097830993e-06, + "loss": 4.3941, + "step": 28 + }, + { + "epoch": 0.04404784507309664, + "grad_norm": 6.9375, + "learning_rate": 9.995090781812724e-06, + "loss": 4.3693, + "step": 29 + }, + { + "epoch": 0.045566736282513766, + "grad_norm": 6.84375, + "learning_rate": 9.993939469489342e-06, + "loss": 4.2591, + "step": 30 + }, + { + "epoch": 0.04708562749193089, + "grad_norm": 5.53125, + "learning_rate": 9.99266706925562e-06, + "loss": 4.2106, + "step": 31 + }, + { + "epoch": 0.048604518701348014, + "grad_norm": 5.09375, + "learning_rate": 9.991273611963413e-06, + "loss": 4.131, + "step": 32 + }, + { + "epoch": 0.050123409910765145, + "grad_norm": 6.09375, + "learning_rate": 9.98975913139984e-06, + "loss": 4.0936, + "step": 33 + }, + { + "epoch": 0.05164230112018227, + "grad_norm": 7.96875, + "learning_rate": 9.98812366428647e-06, + "loss": 4.0474, + "step": 34 + }, + { + "epoch": 0.05316119232959939, + "grad_norm": 6.375, + "learning_rate": 9.986367250278423e-06, + "loss": 4.0911, + "step": 35 + }, + { + "epoch": 0.054680083539016516, + "grad_norm": 8.0, + "learning_rate": 9.984489931963429e-06, + "loss": 3.8623, + "step": 36 + }, + { + "epoch": 0.05619897474843364, + "grad_norm": 4.46875, + "learning_rate": 9.982491754860763e-06, + "loss": 3.7118, + "step": 37 + }, + { + "epoch": 0.05771786595785077, + "grad_norm": 5.8125, + "learning_rate": 9.980372767420179e-06, + "loss": 3.9689, + "step": 38 + }, + { + "epoch": 0.059236757167267895, + "grad_norm": 4.3125, + "learning_rate": 9.978133021020697e-06, + "loss": 3.782, + "step": 39 + }, + { + "epoch": 0.06075564837668502, + "grad_norm": 5.0, + "learning_rate": 9.97577256996939e-06, + "loss": 3.7709, + "step": 40 + }, + { + "epoch": 0.06227453958610214, + "grad_norm": 5.34375, + "learning_rate": 9.97329147150005e-06, + "loss": 3.6426, + "step": 41 + }, + { + "epoch": 0.06379343079551927, + "grad_norm": 5.09375, + "learning_rate": 9.970689785771798e-06, + "loss": 3.5875, + "step": 42 + }, + { + "epoch": 0.06531232200493639, + "grad_norm": 5.90625, + "learning_rate": 9.96796757586764e-06, + "loss": 3.7528, + "step": 43 + }, + { + "epoch": 0.06683121321435352, + "grad_norm": 4.0, + "learning_rate": 9.965124907792916e-06, + "loss": 3.5526, + "step": 44 + }, + { + "epoch": 0.06835010442377065, + "grad_norm": 5.15625, + "learning_rate": 9.962161850473723e-06, + "loss": 3.4634, + "step": 45 + }, + { + "epoch": 0.06986899563318777, + "grad_norm": 4.25, + "learning_rate": 9.95907847575523e-06, + "loss": 3.534, + "step": 46 + }, + { + "epoch": 0.0713878868426049, + "grad_norm": 4.09375, + "learning_rate": 9.955874858399936e-06, + "loss": 3.4982, + "step": 47 + }, + { + "epoch": 0.07290677805202202, + "grad_norm": 4.40625, + "learning_rate": 9.952551076085864e-06, + "loss": 3.5063, + "step": 48 + }, + { + "epoch": 0.07442566926143915, + "grad_norm": 4.4375, + "learning_rate": 9.949107209404664e-06, + "loss": 3.4372, + "step": 49 + }, + { + "epoch": 0.07594456047085628, + "grad_norm": 4.46875, + "learning_rate": 9.945543341859681e-06, + "loss": 3.4007, + "step": 50 + }, + { + "epoch": 0.0774634516802734, + "grad_norm": 4.5, + "learning_rate": 9.94185955986391e-06, + "loss": 3.2577, + "step": 51 + }, + { + "epoch": 0.07898234288969053, + "grad_norm": 4.0625, + "learning_rate": 9.938055952737908e-06, + "loss": 3.2997, + "step": 52 + }, + { + "epoch": 0.08050123409910766, + "grad_norm": 3.984375, + "learning_rate": 9.934132612707631e-06, + "loss": 3.3514, + "step": 53 + }, + { + "epoch": 0.08202012530852477, + "grad_norm": 3.390625, + "learning_rate": 9.930089634902197e-06, + "loss": 3.1966, + "step": 54 + }, + { + "epoch": 0.0835390165179419, + "grad_norm": 5.78125, + "learning_rate": 9.925927117351573e-06, + "loss": 3.1777, + "step": 55 + }, + { + "epoch": 0.08505790772735902, + "grad_norm": 4.125, + "learning_rate": 9.921645160984205e-06, + "loss": 3.0858, + "step": 56 + }, + { + "epoch": 0.08657679893677615, + "grad_norm": 4.90625, + "learning_rate": 9.917243869624573e-06, + "loss": 3.1884, + "step": 57 + }, + { + "epoch": 0.08809569014619328, + "grad_norm": 4.6875, + "learning_rate": 9.91272334999066e-06, + "loss": 3.1061, + "step": 58 + }, + { + "epoch": 0.0896145813556104, + "grad_norm": 4.15625, + "learning_rate": 9.908083711691383e-06, + "loss": 3.1701, + "step": 59 + }, + { + "epoch": 0.09113347256502753, + "grad_norm": 5.125, + "learning_rate": 9.903325067223918e-06, + "loss": 3.1281, + "step": 60 + }, + { + "epoch": 0.09265236377444465, + "grad_norm": 4.59375, + "learning_rate": 9.898447531970989e-06, + "loss": 3.0717, + "step": 61 + }, + { + "epoch": 0.09417125498386178, + "grad_norm": 5.9375, + "learning_rate": 9.893451224198051e-06, + "loss": 3.0151, + "step": 62 + }, + { + "epoch": 0.09569014619327891, + "grad_norm": 4.25, + "learning_rate": 9.888336265050443e-06, + "loss": 3.0585, + "step": 63 + }, + { + "epoch": 0.09720903740269603, + "grad_norm": 5.28125, + "learning_rate": 9.883102778550434e-06, + "loss": 3.0649, + "step": 64 + }, + { + "epoch": 0.09872792861211316, + "grad_norm": 3.53125, + "learning_rate": 9.877750891594224e-06, + "loss": 3.0054, + "step": 65 + }, + { + "epoch": 0.10024681982153029, + "grad_norm": 4.3125, + "learning_rate": 9.872280733948867e-06, + "loss": 2.911, + "step": 66 + }, + { + "epoch": 0.1017657110309474, + "grad_norm": 4.375, + "learning_rate": 9.866692438249124e-06, + "loss": 3.0651, + "step": 67 + }, + { + "epoch": 0.10328460224036454, + "grad_norm": 4.34375, + "learning_rate": 9.86098613999424e-06, + "loss": 2.9609, + "step": 68 + }, + { + "epoch": 0.10480349344978165, + "grad_norm": 3.75, + "learning_rate": 9.855161977544672e-06, + "loss": 3.0308, + "step": 69 + }, + { + "epoch": 0.10632238465919878, + "grad_norm": 3.078125, + "learning_rate": 9.849220092118721e-06, + "loss": 2.97, + "step": 70 + }, + { + "epoch": 0.10784127586861592, + "grad_norm": 3.390625, + "learning_rate": 9.84316062778912e-06, + "loss": 2.9543, + "step": 71 + }, + { + "epoch": 0.10936016707803303, + "grad_norm": 2.6875, + "learning_rate": 9.836983731479526e-06, + "loss": 2.8797, + "step": 72 + }, + { + "epoch": 0.11087905828745016, + "grad_norm": 2.84375, + "learning_rate": 9.830689552960974e-06, + "loss": 2.8188, + "step": 73 + }, + { + "epoch": 0.11239794949686728, + "grad_norm": 3.171875, + "learning_rate": 9.824278244848236e-06, + "loss": 2.9654, + "step": 74 + }, + { + "epoch": 0.11391684070628441, + "grad_norm": 2.1875, + "learning_rate": 9.817749962596115e-06, + "loss": 2.8417, + "step": 75 + }, + { + "epoch": 0.11543573191570154, + "grad_norm": 2.671875, + "learning_rate": 9.811104864495691e-06, + "loss": 2.9101, + "step": 76 + }, + { + "epoch": 0.11695462312511866, + "grad_norm": 2.6875, + "learning_rate": 9.804343111670472e-06, + "loss": 2.8579, + "step": 77 + }, + { + "epoch": 0.11847351433453579, + "grad_norm": 2.53125, + "learning_rate": 9.797464868072489e-06, + "loss": 2.8388, + "step": 78 + }, + { + "epoch": 0.11999240554395292, + "grad_norm": 3.078125, + "learning_rate": 9.790470300478318e-06, + "loss": 2.8716, + "step": 79 + }, + { + "epoch": 0.12151129675337004, + "grad_norm": 2.046875, + "learning_rate": 9.783359578485047e-06, + "loss": 2.8199, + "step": 80 + }, + { + "epoch": 0.12303018796278717, + "grad_norm": 2.1875, + "learning_rate": 9.776132874506153e-06, + "loss": 2.8302, + "step": 81 + }, + { + "epoch": 0.12454907917220429, + "grad_norm": 2.140625, + "learning_rate": 9.768790363767321e-06, + "loss": 2.795, + "step": 82 + }, + { + "epoch": 0.1260679703816214, + "grad_norm": 2.125, + "learning_rate": 9.761332224302209e-06, + "loss": 2.7479, + "step": 83 + }, + { + "epoch": 0.12758686159103855, + "grad_norm": 2.765625, + "learning_rate": 9.753758636948112e-06, + "loss": 2.7841, + "step": 84 + }, + { + "epoch": 0.12910575280045566, + "grad_norm": 2.125, + "learning_rate": 9.74606978534159e-06, + "loss": 2.8815, + "step": 85 + }, + { + "epoch": 0.13062464400987278, + "grad_norm": 3.328125, + "learning_rate": 9.738265855914014e-06, + "loss": 2.7458, + "step": 86 + }, + { + "epoch": 0.13214353521928993, + "grad_norm": 2.3125, + "learning_rate": 9.730347037887041e-06, + "loss": 2.8145, + "step": 87 + }, + { + "epoch": 0.13366242642870704, + "grad_norm": 2.9375, + "learning_rate": 9.722313523268028e-06, + "loss": 2.7804, + "step": 88 + }, + { + "epoch": 0.13518131763812416, + "grad_norm": 2.578125, + "learning_rate": 9.714165506845381e-06, + "loss": 2.7899, + "step": 89 + }, + { + "epoch": 0.1367002088475413, + "grad_norm": 3.359375, + "learning_rate": 9.705903186183828e-06, + "loss": 2.7296, + "step": 90 + }, + { + "epoch": 0.13821910005695842, + "grad_norm": 2.96875, + "learning_rate": 9.697526761619621e-06, + "loss": 2.7233, + "step": 91 + }, + { + "epoch": 0.13973799126637554, + "grad_norm": 2.09375, + "learning_rate": 9.689036436255698e-06, + "loss": 2.7421, + "step": 92 + }, + { + "epoch": 0.14125688247579268, + "grad_norm": 2.828125, + "learning_rate": 9.680432415956736e-06, + "loss": 2.7627, + "step": 93 + }, + { + "epoch": 0.1427757736852098, + "grad_norm": 1.9765625, + "learning_rate": 9.671714909344175e-06, + "loss": 2.7611, + "step": 94 + }, + { + "epoch": 0.14429466489462692, + "grad_norm": 1.9140625, + "learning_rate": 9.66288412779115e-06, + "loss": 2.753, + "step": 95 + }, + { + "epoch": 0.14581355610404403, + "grad_norm": 2.0625, + "learning_rate": 9.653940285417381e-06, + "loss": 2.7191, + "step": 96 + }, + { + "epoch": 0.14733244731346118, + "grad_norm": 1.4765625, + "learning_rate": 9.644883599083959e-06, + "loss": 2.7194, + "step": 97 + }, + { + "epoch": 0.1488513385228783, + "grad_norm": 2.078125, + "learning_rate": 9.635714288388103e-06, + "loss": 2.6886, + "step": 98 + }, + { + "epoch": 0.1503702297322954, + "grad_norm": 1.7265625, + "learning_rate": 9.626432575657834e-06, + "loss": 2.7631, + "step": 99 + }, + { + "epoch": 0.15188912094171256, + "grad_norm": 1.6796875, + "learning_rate": 9.617038685946578e-06, + "loss": 2.6749, + "step": 100 + }, + { + "epoch": 0.15340801215112967, + "grad_norm": 1.59375, + "learning_rate": 9.60753284702772e-06, + "loss": 2.6299, + "step": 101 + }, + { + "epoch": 0.1549269033605468, + "grad_norm": 1.421875, + "learning_rate": 9.597915289389067e-06, + "loss": 2.6723, + "step": 102 + }, + { + "epoch": 0.15644579456996394, + "grad_norm": 1.5625, + "learning_rate": 9.58818624622727e-06, + "loss": 2.7104, + "step": 103 + }, + { + "epoch": 0.15796468577938105, + "grad_norm": 1.640625, + "learning_rate": 9.578345953442163e-06, + "loss": 2.6862, + "step": 104 + }, + { + "epoch": 0.15948357698879817, + "grad_norm": 1.8515625, + "learning_rate": 9.568394649631055e-06, + "loss": 2.7183, + "step": 105 + }, + { + "epoch": 0.16100246819821531, + "grad_norm": 1.9453125, + "learning_rate": 9.558332576082925e-06, + "loss": 2.6991, + "step": 106 + }, + { + "epoch": 0.16252135940763243, + "grad_norm": 1.5078125, + "learning_rate": 9.548159976772593e-06, + "loss": 2.591, + "step": 107 + }, + { + "epoch": 0.16404025061704955, + "grad_norm": 1.703125, + "learning_rate": 9.537877098354787e-06, + "loss": 2.6819, + "step": 108 + }, + { + "epoch": 0.16555914182646667, + "grad_norm": 1.765625, + "learning_rate": 9.527484190158171e-06, + "loss": 2.6957, + "step": 109 + }, + { + "epoch": 0.1670780330358838, + "grad_norm": 2.265625, + "learning_rate": 9.5169815041793e-06, + "loss": 2.7064, + "step": 110 + }, + { + "epoch": 0.16859692424530093, + "grad_norm": 2.21875, + "learning_rate": 9.506369295076505e-06, + "loss": 2.6742, + "step": 111 + }, + { + "epoch": 0.17011581545471804, + "grad_norm": 1.640625, + "learning_rate": 9.495647820163725e-06, + "loss": 2.6757, + "step": 112 + }, + { + "epoch": 0.1716347066641352, + "grad_norm": 2.03125, + "learning_rate": 9.484817339404261e-06, + "loss": 2.6503, + "step": 113 + }, + { + "epoch": 0.1731535978735523, + "grad_norm": 1.6640625, + "learning_rate": 9.473878115404477e-06, + "loss": 2.6608, + "step": 114 + }, + { + "epoch": 0.17467248908296942, + "grad_norm": 1.8125, + "learning_rate": 9.462830413407427e-06, + "loss": 2.6217, + "step": 115 + }, + { + "epoch": 0.17619138029238657, + "grad_norm": 1.578125, + "learning_rate": 9.451674501286436e-06, + "loss": 2.6885, + "step": 116 + }, + { + "epoch": 0.17771027150180368, + "grad_norm": 1.71875, + "learning_rate": 9.440410649538592e-06, + "loss": 2.6041, + "step": 117 + }, + { + "epoch": 0.1792291627112208, + "grad_norm": 1.4453125, + "learning_rate": 9.42903913127819e-06, + "loss": 2.6156, + "step": 118 + }, + { + "epoch": 0.18074805392063795, + "grad_norm": 1.796875, + "learning_rate": 9.417560222230115e-06, + "loss": 2.5769, + "step": 119 + }, + { + "epoch": 0.18226694513005506, + "grad_norm": 1.46875, + "learning_rate": 9.405974200723156e-06, + "loss": 2.5831, + "step": 120 + }, + { + "epoch": 0.18378583633947218, + "grad_norm": 1.59375, + "learning_rate": 9.394281347683247e-06, + "loss": 2.7265, + "step": 121 + }, + { + "epoch": 0.1853047275488893, + "grad_norm": 1.34375, + "learning_rate": 9.382481946626673e-06, + "loss": 2.6134, + "step": 122 + }, + { + "epoch": 0.18682361875830644, + "grad_norm": 1.6015625, + "learning_rate": 9.370576283653178e-06, + "loss": 2.5806, + "step": 123 + }, + { + "epoch": 0.18834250996772356, + "grad_norm": 1.5078125, + "learning_rate": 9.358564647439037e-06, + "loss": 2.5152, + "step": 124 + }, + { + "epoch": 0.18986140117714068, + "grad_norm": 1.546875, + "learning_rate": 9.34644732923006e-06, + "loss": 2.6123, + "step": 125 + }, + { + "epoch": 0.19138029238655782, + "grad_norm": 1.3984375, + "learning_rate": 9.33422462283452e-06, + "loss": 2.6245, + "step": 126 + }, + { + "epoch": 0.19289918359597494, + "grad_norm": 1.2109375, + "learning_rate": 9.321896824616036e-06, + "loss": 2.5982, + "step": 127 + }, + { + "epoch": 0.19441807480539205, + "grad_norm": 2.1875, + "learning_rate": 9.309464233486386e-06, + "loss": 2.61, + "step": 128 + }, + { + "epoch": 0.1959369660148092, + "grad_norm": 1.3984375, + "learning_rate": 9.29692715089826e-06, + "loss": 2.5773, + "step": 129 + }, + { + "epoch": 0.19745585722422632, + "grad_norm": 1.4296875, + "learning_rate": 9.284285880837947e-06, + "loss": 2.5853, + "step": 130 + }, + { + "epoch": 0.19897474843364343, + "grad_norm": 1.46875, + "learning_rate": 9.271540729817969e-06, + "loss": 2.5594, + "step": 131 + }, + { + "epoch": 0.20049363964306058, + "grad_norm": 1.765625, + "learning_rate": 9.258692006869644e-06, + "loss": 2.5041, + "step": 132 + }, + { + "epoch": 0.2020125308524777, + "grad_norm": 1.265625, + "learning_rate": 9.245740023535596e-06, + "loss": 2.5043, + "step": 133 + }, + { + "epoch": 0.2035314220618948, + "grad_norm": 1.53125, + "learning_rate": 9.232685093862206e-06, + "loss": 2.5629, + "step": 134 + }, + { + "epoch": 0.20505031327131193, + "grad_norm": 1.34375, + "learning_rate": 9.219527534391983e-06, + "loss": 2.5121, + "step": 135 + }, + { + "epoch": 0.20656920448072907, + "grad_norm": 1.7890625, + "learning_rate": 9.206267664155906e-06, + "loss": 2.5578, + "step": 136 + }, + { + "epoch": 0.2080880956901462, + "grad_norm": 1.203125, + "learning_rate": 9.192905804665677e-06, + "loss": 2.5341, + "step": 137 + }, + { + "epoch": 0.2096069868995633, + "grad_norm": 2.203125, + "learning_rate": 9.179442279905927e-06, + "loss": 2.5867, + "step": 138 + }, + { + "epoch": 0.21112587810898045, + "grad_norm": 1.2890625, + "learning_rate": 9.165877416326365e-06, + "loss": 2.6066, + "step": 139 + }, + { + "epoch": 0.21264476931839757, + "grad_norm": 1.8828125, + "learning_rate": 9.152211542833856e-06, + "loss": 2.6332, + "step": 140 + }, + { + "epoch": 0.2141636605278147, + "grad_norm": 1.6640625, + "learning_rate": 9.138444990784455e-06, + "loss": 2.5835, + "step": 141 + }, + { + "epoch": 0.21568255173723183, + "grad_norm": 1.6484375, + "learning_rate": 9.124578093975358e-06, + "loss": 2.622, + "step": 142 + }, + { + "epoch": 0.21720144294664895, + "grad_norm": 1.4453125, + "learning_rate": 9.110611188636828e-06, + "loss": 2.5668, + "step": 143 + }, + { + "epoch": 0.21872033415606607, + "grad_norm": 1.1640625, + "learning_rate": 9.096544613424026e-06, + "loss": 2.6229, + "step": 144 + }, + { + "epoch": 0.2202392253654832, + "grad_norm": 1.515625, + "learning_rate": 9.082378709408805e-06, + "loss": 2.5456, + "step": 145 + }, + { + "epoch": 0.22175811657490033, + "grad_norm": 1.296875, + "learning_rate": 9.068113820071447e-06, + "loss": 2.4778, + "step": 146 + }, + { + "epoch": 0.22327700778431744, + "grad_norm": 1.53125, + "learning_rate": 9.053750291292321e-06, + "loss": 2.4628, + "step": 147 + }, + { + "epoch": 0.22479589899373456, + "grad_norm": 1.265625, + "learning_rate": 9.039288471343505e-06, + "loss": 2.5147, + "step": 148 + }, + { + "epoch": 0.2263147902031517, + "grad_norm": 1.2109375, + "learning_rate": 9.024728710880345e-06, + "loss": 2.5673, + "step": 149 + }, + { + "epoch": 0.22783368141256882, + "grad_norm": 1.2265625, + "learning_rate": 9.010071362932945e-06, + "loss": 2.5198, + "step": 150 + }, + { + "epoch": 0.22935257262198594, + "grad_norm": 1.40625, + "learning_rate": 8.995316782897605e-06, + "loss": 2.5247, + "step": 151 + }, + { + "epoch": 0.23087146383140308, + "grad_norm": 1.3046875, + "learning_rate": 8.98046532852822e-06, + "loss": 2.5068, + "step": 152 + }, + { + "epoch": 0.2323903550408202, + "grad_norm": 1.2421875, + "learning_rate": 8.965517359927583e-06, + "loss": 2.5362, + "step": 153 + }, + { + "epoch": 0.23390924625023732, + "grad_norm": 1.2265625, + "learning_rate": 8.950473239538672e-06, + "loss": 2.5166, + "step": 154 + }, + { + "epoch": 0.23542813745965446, + "grad_norm": 1.421875, + "learning_rate": 8.935333332135853e-06, + "loss": 2.502, + "step": 155 + }, + { + "epoch": 0.23694702866907158, + "grad_norm": 1.6796875, + "learning_rate": 8.920098004816035e-06, + "loss": 2.5186, + "step": 156 + }, + { + "epoch": 0.2384659198784887, + "grad_norm": 1.0859375, + "learning_rate": 8.904767626989774e-06, + "loss": 2.5439, + "step": 157 + }, + { + "epoch": 0.23998481108790584, + "grad_norm": 1.1640625, + "learning_rate": 8.88934257037231e-06, + "loss": 2.5026, + "step": 158 + }, + { + "epoch": 0.24150370229732296, + "grad_norm": 1.109375, + "learning_rate": 8.873823208974557e-06, + "loss": 2.5948, + "step": 159 + }, + { + "epoch": 0.24302259350674008, + "grad_norm": 1.203125, + "learning_rate": 8.85820991909404e-06, + "loss": 2.5613, + "step": 160 + }, + { + "epoch": 0.2445414847161572, + "grad_norm": 1.03125, + "learning_rate": 8.842503079305757e-06, + "loss": 2.5053, + "step": 161 + }, + { + "epoch": 0.24606037592557434, + "grad_norm": 1.109375, + "learning_rate": 8.826703070453014e-06, + "loss": 2.4929, + "step": 162 + }, + { + "epoch": 0.24757926713499145, + "grad_norm": 1.09375, + "learning_rate": 8.810810275638183e-06, + "loss": 2.4863, + "step": 163 + }, + { + "epoch": 0.24909815834440857, + "grad_norm": 1.765625, + "learning_rate": 8.794825080213415e-06, + "loss": 2.5587, + "step": 164 + }, + { + "epoch": 0.2506170495538257, + "grad_norm": 1.15625, + "learning_rate": 8.778747871771293e-06, + "loss": 2.5292, + "step": 165 + }, + { + "epoch": 0.2521359407632428, + "grad_norm": 1.375, + "learning_rate": 8.76257904013544e-06, + "loss": 2.5414, + "step": 166 + }, + { + "epoch": 0.25365483197266, + "grad_norm": 1.234375, + "learning_rate": 8.746318977351066e-06, + "loss": 2.5376, + "step": 167 + }, + { + "epoch": 0.2551737231820771, + "grad_norm": 1.390625, + "learning_rate": 8.729968077675454e-06, + "loss": 2.5962, + "step": 168 + }, + { + "epoch": 0.2566926143914942, + "grad_norm": 1.265625, + "learning_rate": 8.713526737568415e-06, + "loss": 2.5141, + "step": 169 + }, + { + "epoch": 0.25821150560091133, + "grad_norm": 1.375, + "learning_rate": 8.696995355682656e-06, + "loss": 2.6006, + "step": 170 + }, + { + "epoch": 0.25973039681032845, + "grad_norm": 1.5390625, + "learning_rate": 8.680374332854134e-06, + "loss": 2.4407, + "step": 171 + }, + { + "epoch": 0.26124928801974556, + "grad_norm": 1.359375, + "learning_rate": 8.663664072092324e-06, + "loss": 2.4783, + "step": 172 + }, + { + "epoch": 0.26276817922916273, + "grad_norm": 1.421875, + "learning_rate": 8.646864978570445e-06, + "loss": 2.513, + "step": 173 + }, + { + "epoch": 0.26428707043857985, + "grad_norm": 1.453125, + "learning_rate": 8.629977459615655e-06, + "loss": 2.4805, + "step": 174 + }, + { + "epoch": 0.26580596164799697, + "grad_norm": 1.390625, + "learning_rate": 8.613001924699146e-06, + "loss": 2.5176, + "step": 175 + }, + { + "epoch": 0.2673248528574141, + "grad_norm": 1.3125, + "learning_rate": 8.595938785426241e-06, + "loss": 2.5586, + "step": 176 + }, + { + "epoch": 0.2688437440668312, + "grad_norm": 1.3671875, + "learning_rate": 8.578788455526398e-06, + "loss": 2.4918, + "step": 177 + }, + { + "epoch": 0.2703626352762483, + "grad_norm": 1.203125, + "learning_rate": 8.561551350843185e-06, + "loss": 2.5574, + "step": 178 + }, + { + "epoch": 0.27188152648566544, + "grad_norm": 1.3828125, + "learning_rate": 8.544227889324199e-06, + "loss": 2.4831, + "step": 179 + }, + { + "epoch": 0.2734004176950826, + "grad_norm": 1.4296875, + "learning_rate": 8.526818491010922e-06, + "loss": 2.5496, + "step": 180 + }, + { + "epoch": 0.2749193089044997, + "grad_norm": 1.5078125, + "learning_rate": 8.509323578028547e-06, + "loss": 2.5047, + "step": 181 + }, + { + "epoch": 0.27643820011391684, + "grad_norm": 1.5234375, + "learning_rate": 8.491743574575743e-06, + "loss": 2.4502, + "step": 182 + }, + { + "epoch": 0.27795709132333396, + "grad_norm": 1.46875, + "learning_rate": 8.474078906914359e-06, + "loss": 2.5617, + "step": 183 + }, + { + "epoch": 0.2794759825327511, + "grad_norm": 1.234375, + "learning_rate": 8.456330003359093e-06, + "loss": 2.4827, + "step": 184 + }, + { + "epoch": 0.2809948737421682, + "grad_norm": 1.828125, + "learning_rate": 8.438497294267117e-06, + "loss": 2.5726, + "step": 185 + }, + { + "epoch": 0.28251376495158537, + "grad_norm": 1.453125, + "learning_rate": 8.420581212027625e-06, + "loss": 2.4644, + "step": 186 + }, + { + "epoch": 0.2840326561610025, + "grad_norm": 1.25, + "learning_rate": 8.402582191051365e-06, + "loss": 2.4287, + "step": 187 + }, + { + "epoch": 0.2855515473704196, + "grad_norm": 1.640625, + "learning_rate": 8.38450066776009e-06, + "loss": 2.5467, + "step": 188 + }, + { + "epoch": 0.2870704385798367, + "grad_norm": 1.359375, + "learning_rate": 8.36633708057599e-06, + "loss": 2.4555, + "step": 189 + }, + { + "epoch": 0.28858932978925383, + "grad_norm": 1.3203125, + "learning_rate": 8.348091869911054e-06, + "loss": 2.5255, + "step": 190 + }, + { + "epoch": 0.29010822099867095, + "grad_norm": 1.34375, + "learning_rate": 8.329765478156394e-06, + "loss": 2.5443, + "step": 191 + }, + { + "epoch": 0.29162711220808807, + "grad_norm": 1.2890625, + "learning_rate": 8.311358349671516e-06, + "loss": 2.5705, + "step": 192 + }, + { + "epoch": 0.29314600341750524, + "grad_norm": 1.203125, + "learning_rate": 8.292870930773551e-06, + "loss": 2.4817, + "step": 193 + }, + { + "epoch": 0.29466489462692236, + "grad_norm": 1.3671875, + "learning_rate": 8.274303669726427e-06, + "loss": 2.5036, + "step": 194 + }, + { + "epoch": 0.2961837858363395, + "grad_norm": 1.1484375, + "learning_rate": 8.255657016729997e-06, + "loss": 2.5086, + "step": 195 + }, + { + "epoch": 0.2977026770457566, + "grad_norm": 1.078125, + "learning_rate": 8.23693142390914e-06, + "loss": 2.4332, + "step": 196 + }, + { + "epoch": 0.2992215682551737, + "grad_norm": 1.1015625, + "learning_rate": 8.218127345302775e-06, + "loss": 2.4879, + "step": 197 + }, + { + "epoch": 0.3007404594645908, + "grad_norm": 1.109375, + "learning_rate": 8.199245236852871e-06, + "loss": 2.5324, + "step": 198 + }, + { + "epoch": 0.302259350674008, + "grad_norm": 1.328125, + "learning_rate": 8.180285556393384e-06, + "loss": 2.4826, + "step": 199 + }, + { + "epoch": 0.3037782418834251, + "grad_norm": 1.109375, + "learning_rate": 8.161248763639154e-06, + "loss": 2.4943, + "step": 200 + }, + { + "epoch": 0.30529713309284223, + "grad_norm": 1.140625, + "learning_rate": 8.142135320174758e-06, + "loss": 2.4246, + "step": 201 + }, + { + "epoch": 0.30681602430225935, + "grad_norm": 1.296875, + "learning_rate": 8.122945689443328e-06, + "loss": 2.4313, + "step": 202 + }, + { + "epoch": 0.30833491551167647, + "grad_norm": 1.09375, + "learning_rate": 8.1036803367353e-06, + "loss": 2.559, + "step": 203 + }, + { + "epoch": 0.3098538067210936, + "grad_norm": 1.1328125, + "learning_rate": 8.084339729177142e-06, + "loss": 2.514, + "step": 204 + }, + { + "epoch": 0.3113726979305107, + "grad_norm": 1.2578125, + "learning_rate": 8.064924335720023e-06, + "loss": 2.4889, + "step": 205 + }, + { + "epoch": 0.3128915891399279, + "grad_norm": 1.0703125, + "learning_rate": 8.045434627128446e-06, + "loss": 2.4603, + "step": 206 + }, + { + "epoch": 0.314410480349345, + "grad_norm": 1.2734375, + "learning_rate": 8.025871075968828e-06, + "loss": 2.4971, + "step": 207 + }, + { + "epoch": 0.3159293715587621, + "grad_norm": 0.9765625, + "learning_rate": 8.006234156598043e-06, + "loss": 2.5571, + "step": 208 + }, + { + "epoch": 0.3174482627681792, + "grad_norm": 1.0625, + "learning_rate": 7.986524345151924e-06, + "loss": 2.5384, + "step": 209 + }, + { + "epoch": 0.31896715397759634, + "grad_norm": 1.09375, + "learning_rate": 7.966742119533724e-06, + "loss": 2.4885, + "step": 210 + }, + { + "epoch": 0.32048604518701346, + "grad_norm": 1.0546875, + "learning_rate": 7.946887959402504e-06, + "loss": 2.4381, + "step": 211 + }, + { + "epoch": 0.32200493639643063, + "grad_norm": 0.984375, + "learning_rate": 7.926962346161535e-06, + "loss": 2.5199, + "step": 212 + }, + { + "epoch": 0.32352382760584775, + "grad_norm": 1.078125, + "learning_rate": 7.9069657629466e-06, + "loss": 2.5338, + "step": 213 + }, + { + "epoch": 0.32504271881526486, + "grad_norm": 0.9375, + "learning_rate": 7.886898694614292e-06, + "loss": 2.4292, + "step": 214 + }, + { + "epoch": 0.326561610024682, + "grad_norm": 1.2890625, + "learning_rate": 7.866761627730253e-06, + "loss": 2.4925, + "step": 215 + }, + { + "epoch": 0.3280805012340991, + "grad_norm": 1.0859375, + "learning_rate": 7.846555050557381e-06, + "loss": 2.4482, + "step": 216 + }, + { + "epoch": 0.3295993924435162, + "grad_norm": 1.1640625, + "learning_rate": 7.826279453043985e-06, + "loss": 2.5279, + "step": 217 + }, + { + "epoch": 0.33111828365293333, + "grad_norm": 0.99609375, + "learning_rate": 7.805935326811913e-06, + "loss": 2.4002, + "step": 218 + }, + { + "epoch": 0.3326371748623505, + "grad_norm": 1.21875, + "learning_rate": 7.78552316514462e-06, + "loss": 2.3698, + "step": 219 + }, + { + "epoch": 0.3341560660717676, + "grad_norm": 1.0859375, + "learning_rate": 7.765043462975217e-06, + "loss": 2.4626, + "step": 220 + }, + { + "epoch": 0.33567495728118474, + "grad_norm": 1.15625, + "learning_rate": 7.744496716874472e-06, + "loss": 2.5538, + "step": 221 + }, + { + "epoch": 0.33719384849060186, + "grad_norm": 1.109375, + "learning_rate": 7.723883425038759e-06, + "loss": 2.4648, + "step": 222 + }, + { + "epoch": 0.33871273970001897, + "grad_norm": 0.984375, + "learning_rate": 7.703204087277989e-06, + "loss": 2.3859, + "step": 223 + }, + { + "epoch": 0.3402316309094361, + "grad_norm": 1.015625, + "learning_rate": 7.682459205003484e-06, + "loss": 2.4553, + "step": 224 + }, + { + "epoch": 0.34175052211885326, + "grad_norm": 1.2578125, + "learning_rate": 7.661649281215823e-06, + "loss": 2.5044, + "step": 225 + }, + { + "epoch": 0.3432694133282704, + "grad_norm": 1.3828125, + "learning_rate": 7.640774820492647e-06, + "loss": 2.4061, + "step": 226 + }, + { + "epoch": 0.3447883045376875, + "grad_norm": 1.21875, + "learning_rate": 7.619836328976416e-06, + "loss": 2.4957, + "step": 227 + }, + { + "epoch": 0.3463071957471046, + "grad_norm": 1.09375, + "learning_rate": 7.598834314362151e-06, + "loss": 2.383, + "step": 228 + }, + { + "epoch": 0.34782608695652173, + "grad_norm": 1.0546875, + "learning_rate": 7.57776928588511e-06, + "loss": 2.4998, + "step": 229 + }, + { + "epoch": 0.34934497816593885, + "grad_norm": 1.1171875, + "learning_rate": 7.556641754308447e-06, + "loss": 2.4103, + "step": 230 + }, + { + "epoch": 0.35086386937535596, + "grad_norm": 1.0390625, + "learning_rate": 7.535452231910829e-06, + "loss": 2.4448, + "step": 231 + }, + { + "epoch": 0.35238276058477314, + "grad_norm": 1.2421875, + "learning_rate": 7.514201232474012e-06, + "loss": 2.4017, + "step": 232 + }, + { + "epoch": 0.35390165179419025, + "grad_norm": 1.03125, + "learning_rate": 7.492889271270382e-06, + "loss": 2.4629, + "step": 233 + }, + { + "epoch": 0.35542054300360737, + "grad_norm": 1.296875, + "learning_rate": 7.471516865050468e-06, + "loss": 2.4281, + "step": 234 + }, + { + "epoch": 0.3569394342130245, + "grad_norm": 1.125, + "learning_rate": 7.450084532030402e-06, + "loss": 2.4231, + "step": 235 + }, + { + "epoch": 0.3584583254224416, + "grad_norm": 1.0, + "learning_rate": 7.428592791879361e-06, + "loss": 2.4429, + "step": 236 + }, + { + "epoch": 0.3599772166318587, + "grad_norm": 1.015625, + "learning_rate": 7.407042165706969e-06, + "loss": 2.469, + "step": 237 + }, + { + "epoch": 0.3614961078412759, + "grad_norm": 1.0234375, + "learning_rate": 7.385433176050654e-06, + "loss": 2.5211, + "step": 238 + }, + { + "epoch": 0.363014999050693, + "grad_norm": 1.2109375, + "learning_rate": 7.36376634686298e-06, + "loss": 2.4338, + "step": 239 + }, + { + "epoch": 0.3645338902601101, + "grad_norm": 1.1171875, + "learning_rate": 7.342042203498952e-06, + "loss": 2.5161, + "step": 240 + }, + { + "epoch": 0.36605278146952724, + "grad_norm": 1.171875, + "learning_rate": 7.320261272703259e-06, + "loss": 2.4728, + "step": 241 + }, + { + "epoch": 0.36757167267894436, + "grad_norm": 1.203125, + "learning_rate": 7.298424082597526e-06, + "loss": 2.4609, + "step": 242 + }, + { + "epoch": 0.3690905638883615, + "grad_norm": 1.21875, + "learning_rate": 7.276531162667484e-06, + "loss": 2.4977, + "step": 243 + }, + { + "epoch": 0.3706094550977786, + "grad_norm": 1.203125, + "learning_rate": 7.254583043750152e-06, + "loss": 2.4324, + "step": 244 + }, + { + "epoch": 0.37212834630719577, + "grad_norm": 1.1171875, + "learning_rate": 7.232580258020952e-06, + "loss": 2.4407, + "step": 245 + }, + { + "epoch": 0.3736472375166129, + "grad_norm": 0.91796875, + "learning_rate": 7.210523338980814e-06, + "loss": 2.5021, + "step": 246 + }, + { + "epoch": 0.37516612872603, + "grad_norm": 0.9453125, + "learning_rate": 7.1884128214432366e-06, + "loss": 2.4268, + "step": 247 + }, + { + "epoch": 0.3766850199354471, + "grad_norm": 1.0390625, + "learning_rate": 7.1662492415213194e-06, + "loss": 2.4063, + "step": 248 + }, + { + "epoch": 0.37820391114486424, + "grad_norm": 1.0078125, + "learning_rate": 7.14403313661476e-06, + "loss": 2.4253, + "step": 249 + }, + { + "epoch": 0.37972280235428135, + "grad_norm": 1.265625, + "learning_rate": 7.1217650453968335e-06, + "loss": 2.461, + "step": 250 + }, + { + "epoch": 0.3812416935636985, + "grad_norm": 1.109375, + "learning_rate": 7.099445507801324e-06, + "loss": 2.5152, + "step": 251 + }, + { + "epoch": 0.38276058477311564, + "grad_norm": 1.03125, + "learning_rate": 7.0770750650094335e-06, + "loss": 2.4101, + "step": 252 + }, + { + "epoch": 0.38427947598253276, + "grad_norm": 1.0234375, + "learning_rate": 7.0546542594366605e-06, + "loss": 2.5015, + "step": 253 + }, + { + "epoch": 0.3857983671919499, + "grad_norm": 0.96875, + "learning_rate": 7.03218363471965e-06, + "loss": 2.4964, + "step": 254 + }, + { + "epoch": 0.387317258401367, + "grad_norm": 1.03125, + "learning_rate": 7.0096637357030105e-06, + "loss": 2.4427, + "step": 255 + }, + { + "epoch": 0.3888361496107841, + "grad_norm": 1.390625, + "learning_rate": 6.987095108426102e-06, + "loss": 2.3514, + "step": 256 + }, + { + "epoch": 0.3903550408202012, + "grad_norm": 1.0390625, + "learning_rate": 6.964478300109796e-06, + "loss": 2.4921, + "step": 257 + }, + { + "epoch": 0.3918739320296184, + "grad_norm": 0.9453125, + "learning_rate": 6.94181385914321e-06, + "loss": 2.4503, + "step": 258 + }, + { + "epoch": 0.3933928232390355, + "grad_norm": 0.9375, + "learning_rate": 6.91910233507041e-06, + "loss": 2.3622, + "step": 259 + }, + { + "epoch": 0.39491171444845263, + "grad_norm": 1.0703125, + "learning_rate": 6.896344278577083e-06, + "loss": 2.4076, + "step": 260 + }, + { + "epoch": 0.39643060565786975, + "grad_norm": 0.9453125, + "learning_rate": 6.873540241477189e-06, + "loss": 2.4053, + "step": 261 + }, + { + "epoch": 0.39794949686728687, + "grad_norm": 0.90625, + "learning_rate": 6.850690776699574e-06, + "loss": 2.4828, + "step": 262 + }, + { + "epoch": 0.399468388076704, + "grad_norm": 1.0390625, + "learning_rate": 6.8277964382745675e-06, + "loss": 2.4118, + "step": 263 + }, + { + "epoch": 0.40098727928612116, + "grad_norm": 1.1015625, + "learning_rate": 6.804857781320558e-06, + "loss": 2.4467, + "step": 264 + }, + { + "epoch": 0.4025061704955383, + "grad_norm": 0.96875, + "learning_rate": 6.781875362030512e-06, + "loss": 2.5718, + "step": 265 + }, + { + "epoch": 0.4040250617049554, + "grad_norm": 0.96875, + "learning_rate": 6.758849737658508e-06, + "loss": 2.5041, + "step": 266 + }, + { + "epoch": 0.4055439529143725, + "grad_norm": 1.0625, + "learning_rate": 6.735781466506216e-06, + "loss": 2.4383, + "step": 267 + }, + { + "epoch": 0.4070628441237896, + "grad_norm": 1.0625, + "learning_rate": 6.712671107909359e-06, + "loss": 2.478, + "step": 268 + }, + { + "epoch": 0.40858173533320674, + "grad_norm": 1.046875, + "learning_rate": 6.6895192222241534e-06, + "loss": 2.4207, + "step": 269 + }, + { + "epoch": 0.41010062654262386, + "grad_norm": 0.98828125, + "learning_rate": 6.666326370813722e-06, + "loss": 2.4511, + "step": 270 + }, + { + "epoch": 0.41161951775204103, + "grad_norm": 1.0078125, + "learning_rate": 6.643093116034486e-06, + "loss": 2.4288, + "step": 271 + }, + { + "epoch": 0.41313840896145815, + "grad_norm": 0.9609375, + "learning_rate": 6.619820021222518e-06, + "loss": 2.437, + "step": 272 + }, + { + "epoch": 0.41465730017087526, + "grad_norm": 1.0625, + "learning_rate": 6.5965076506799e-06, + "loss": 2.4671, + "step": 273 + }, + { + "epoch": 0.4161761913802924, + "grad_norm": 1.1171875, + "learning_rate": 6.573156569661026e-06, + "loss": 2.5018, + "step": 274 + }, + { + "epoch": 0.4176950825897095, + "grad_norm": 0.890625, + "learning_rate": 6.549767344358903e-06, + "loss": 2.3747, + "step": 275 + }, + { + "epoch": 0.4192139737991266, + "grad_norm": 1.140625, + "learning_rate": 6.526340541891418e-06, + "loss": 2.4567, + "step": 276 + }, + { + "epoch": 0.4207328650085438, + "grad_norm": 1.1484375, + "learning_rate": 6.5028767302875974e-06, + "loss": 2.4371, + "step": 277 + }, + { + "epoch": 0.4222517562179609, + "grad_norm": 0.984375, + "learning_rate": 6.479376478473822e-06, + "loss": 2.3193, + "step": 278 + }, + { + "epoch": 0.423770647427378, + "grad_norm": 1.1171875, + "learning_rate": 6.455840356260041e-06, + "loss": 2.4587, + "step": 279 + }, + { + "epoch": 0.42528953863679514, + "grad_norm": 1.1484375, + "learning_rate": 6.432268934325947e-06, + "loss": 2.4221, + "step": 280 + }, + { + "epoch": 0.42680842984621226, + "grad_norm": 0.99609375, + "learning_rate": 6.408662784207149e-06, + "loss": 2.4534, + "step": 281 + }, + { + "epoch": 0.4283273210556294, + "grad_norm": 1.1640625, + "learning_rate": 6.385022478281307e-06, + "loss": 2.4384, + "step": 282 + }, + { + "epoch": 0.4298462122650465, + "grad_norm": 1.15625, + "learning_rate": 6.361348589754255e-06, + "loss": 2.4464, + "step": 283 + }, + { + "epoch": 0.43136510347446366, + "grad_norm": 0.98828125, + "learning_rate": 6.337641692646106e-06, + "loss": 2.4387, + "step": 284 + }, + { + "epoch": 0.4328839946838808, + "grad_norm": 1.2734375, + "learning_rate": 6.313902361777327e-06, + "loss": 2.5006, + "step": 285 + }, + { + "epoch": 0.4344028858932979, + "grad_norm": 1.359375, + "learning_rate": 6.290131172754811e-06, + "loss": 2.5047, + "step": 286 + }, + { + "epoch": 0.435921777102715, + "grad_norm": 0.94140625, + "learning_rate": 6.266328701957911e-06, + "loss": 2.3543, + "step": 287 + }, + { + "epoch": 0.43744066831213213, + "grad_norm": 1.171875, + "learning_rate": 6.24249552652447e-06, + "loss": 2.5089, + "step": 288 + }, + { + "epoch": 0.43895955952154925, + "grad_norm": 1.09375, + "learning_rate": 6.2186322243368236e-06, + "loss": 2.4545, + "step": 289 + }, + { + "epoch": 0.4404784507309664, + "grad_norm": 0.96484375, + "learning_rate": 6.194739374007792e-06, + "loss": 2.4691, + "step": 290 + }, + { + "epoch": 0.44199734194038354, + "grad_norm": 1.0625, + "learning_rate": 6.170817554866646e-06, + "loss": 2.5019, + "step": 291 + }, + { + "epoch": 0.44351623314980065, + "grad_norm": 1.03125, + "learning_rate": 6.1468673469450655e-06, + "loss": 2.4309, + "step": 292 + }, + { + "epoch": 0.44503512435921777, + "grad_norm": 0.91796875, + "learning_rate": 6.122889330963069e-06, + "loss": 2.4174, + "step": 293 + }, + { + "epoch": 0.4465540155686349, + "grad_norm": 1.140625, + "learning_rate": 6.098884088314938e-06, + "loss": 2.4323, + "step": 294 + }, + { + "epoch": 0.448072906778052, + "grad_norm": 1.1171875, + "learning_rate": 6.074852201055121e-06, + "loss": 2.4597, + "step": 295 + }, + { + "epoch": 0.4495917979874691, + "grad_norm": 1.046875, + "learning_rate": 6.050794251884112e-06, + "loss": 2.4288, + "step": 296 + }, + { + "epoch": 0.4511106891968863, + "grad_norm": 0.96875, + "learning_rate": 6.026710824134331e-06, + "loss": 2.4338, + "step": 297 + }, + { + "epoch": 0.4526295804063034, + "grad_norm": 0.94140625, + "learning_rate": 6.002602501755974e-06, + "loss": 2.4154, + "step": 298 + }, + { + "epoch": 0.45414847161572053, + "grad_norm": 0.9765625, + "learning_rate": 5.978469869302861e-06, + "loss": 2.4921, + "step": 299 + }, + { + "epoch": 0.45566736282513765, + "grad_norm": 1.0625, + "learning_rate": 5.954313511918252e-06, + "loss": 2.4616, + "step": 300 + }, + { + "epoch": 0.45718625403455476, + "grad_norm": 0.9296875, + "learning_rate": 5.9301340153206685e-06, + "loss": 2.4872, + "step": 301 + }, + { + "epoch": 0.4587051452439719, + "grad_norm": 1.0390625, + "learning_rate": 5.905931965789688e-06, + "loss": 2.4421, + "step": 302 + }, + { + "epoch": 0.46022403645338905, + "grad_norm": 0.9375, + "learning_rate": 5.881707950151725e-06, + "loss": 2.4822, + "step": 303 + }, + { + "epoch": 0.46174292766280617, + "grad_norm": 1.140625, + "learning_rate": 5.857462555765809e-06, + "loss": 2.4562, + "step": 304 + }, + { + "epoch": 0.4632618188722233, + "grad_norm": 1.0234375, + "learning_rate": 5.8331963705093375e-06, + "loss": 2.5125, + "step": 305 + }, + { + "epoch": 0.4647807100816404, + "grad_norm": 1.078125, + "learning_rate": 5.808909982763825e-06, + "loss": 2.4263, + "step": 306 + }, + { + "epoch": 0.4662996012910575, + "grad_norm": 1.15625, + "learning_rate": 5.784603981400632e-06, + "loss": 2.4522, + "step": 307 + }, + { + "epoch": 0.46781849250047464, + "grad_norm": 1.09375, + "learning_rate": 5.760278955766695e-06, + "loss": 2.4475, + "step": 308 + }, + { + "epoch": 0.46933738370989175, + "grad_norm": 0.91796875, + "learning_rate": 5.735935495670229e-06, + "loss": 2.4194, + "step": 309 + }, + { + "epoch": 0.4708562749193089, + "grad_norm": 0.9921875, + "learning_rate": 5.711574191366427e-06, + "loss": 2.3649, + "step": 310 + }, + { + "epoch": 0.47237516612872604, + "grad_norm": 1.046875, + "learning_rate": 5.687195633543151e-06, + "loss": 2.4821, + "step": 311 + }, + { + "epoch": 0.47389405733814316, + "grad_norm": 0.9296875, + "learning_rate": 5.662800413306611e-06, + "loss": 2.475, + "step": 312 + }, + { + "epoch": 0.4754129485475603, + "grad_norm": 1.0078125, + "learning_rate": 5.6383891221670275e-06, + "loss": 2.3078, + "step": 313 + }, + { + "epoch": 0.4769318397569774, + "grad_norm": 1.1171875, + "learning_rate": 5.613962352024293e-06, + "loss": 2.3925, + "step": 314 + }, + { + "epoch": 0.4784507309663945, + "grad_norm": 1.09375, + "learning_rate": 5.589520695153618e-06, + "loss": 2.4178, + "step": 315 + }, + { + "epoch": 0.4799696221758117, + "grad_norm": 0.890625, + "learning_rate": 5.5650647441911706e-06, + "loss": 2.5059, + "step": 316 + }, + { + "epoch": 0.4814885133852288, + "grad_norm": 1.078125, + "learning_rate": 5.540595092119709e-06, + "loss": 2.5159, + "step": 317 + }, + { + "epoch": 0.4830074045946459, + "grad_norm": 1.1328125, + "learning_rate": 5.516112332254203e-06, + "loss": 2.334, + "step": 318 + }, + { + "epoch": 0.48452629580406303, + "grad_norm": 0.953125, + "learning_rate": 5.491617058227443e-06, + "loss": 2.4316, + "step": 319 + }, + { + "epoch": 0.48604518701348015, + "grad_norm": 1.046875, + "learning_rate": 5.46710986397565e-06, + "loss": 2.5104, + "step": 320 + }, + { + "epoch": 0.48756407822289727, + "grad_norm": 1.046875, + "learning_rate": 5.442591343724081e-06, + "loss": 2.4709, + "step": 321 + }, + { + "epoch": 0.4890829694323144, + "grad_norm": 0.93359375, + "learning_rate": 5.418062091972604e-06, + "loss": 2.4407, + "step": 322 + }, + { + "epoch": 0.49060186064173156, + "grad_norm": 0.8828125, + "learning_rate": 5.393522703481303e-06, + "loss": 2.3959, + "step": 323 + }, + { + "epoch": 0.4921207518511487, + "grad_norm": 1.1015625, + "learning_rate": 5.36897377325604e-06, + "loss": 2.4172, + "step": 324 + }, + { + "epoch": 0.4936396430605658, + "grad_norm": 1.0078125, + "learning_rate": 5.344415896534039e-06, + "loss": 2.3965, + "step": 325 + }, + { + "epoch": 0.4951585342699829, + "grad_norm": 0.90625, + "learning_rate": 5.319849668769449e-06, + "loss": 2.4589, + "step": 326 + }, + { + "epoch": 0.4966774254794, + "grad_norm": 0.9375, + "learning_rate": 5.295275685618905e-06, + "loss": 2.3558, + "step": 327 + }, + { + "epoch": 0.49819631668881714, + "grad_norm": 0.99609375, + "learning_rate": 5.270694542927089e-06, + "loss": 2.5089, + "step": 328 + }, + { + "epoch": 0.4997152078982343, + "grad_norm": 1.015625, + "learning_rate": 5.246106836712277e-06, + "loss": 2.4541, + "step": 329 + }, + { + "epoch": 0.5012340991076514, + "grad_norm": 0.91796875, + "learning_rate": 5.2215131631518945e-06, + "loss": 2.3858, + "step": 330 + }, + { + "epoch": 0.5027529903170685, + "grad_norm": 1.0078125, + "learning_rate": 5.196914118568054e-06, + "loss": 2.4189, + "step": 331 + }, + { + "epoch": 0.5042718815264856, + "grad_norm": 1.03125, + "learning_rate": 5.1723102994130994e-06, + "loss": 2.4426, + "step": 332 + }, + { + "epoch": 0.5057907727359028, + "grad_norm": 1.0625, + "learning_rate": 5.147702302255143e-06, + "loss": 2.4418, + "step": 333 + }, + { + "epoch": 0.50730966394532, + "grad_norm": 0.97265625, + "learning_rate": 5.123090723763607e-06, + "loss": 2.3768, + "step": 334 + }, + { + "epoch": 0.508828555154737, + "grad_norm": 0.9296875, + "learning_rate": 5.098476160694741e-06, + "loss": 2.4267, + "step": 335 + }, + { + "epoch": 0.5103474463641542, + "grad_norm": 1.046875, + "learning_rate": 5.073859209877167e-06, + "loss": 2.4311, + "step": 336 + }, + { + "epoch": 0.5118663375735713, + "grad_norm": 0.99609375, + "learning_rate": 5.049240468197401e-06, + "loss": 2.5122, + "step": 337 + }, + { + "epoch": 0.5133852287829884, + "grad_norm": 0.8828125, + "learning_rate": 5.0246205325853824e-06, + "loss": 2.384, + "step": 338 + }, + { + "epoch": 0.5149041199924056, + "grad_norm": 0.9375, + "learning_rate": 5e-06, + "loss": 2.4921, + "step": 339 + }, + { + "epoch": 0.5164230112018227, + "grad_norm": 1.0390625, + "learning_rate": 4.975379467414621e-06, + "loss": 2.4624, + "step": 340 + }, + { + "epoch": 0.5179419024112398, + "grad_norm": 0.92578125, + "learning_rate": 4.950759531802602e-06, + "loss": 2.402, + "step": 341 + }, + { + "epoch": 0.5194607936206569, + "grad_norm": 0.90625, + "learning_rate": 4.926140790122835e-06, + "loss": 2.4924, + "step": 342 + }, + { + "epoch": 0.5209796848300741, + "grad_norm": 0.89453125, + "learning_rate": 4.90152383930526e-06, + "loss": 2.4247, + "step": 343 + }, + { + "epoch": 0.5224985760394911, + "grad_norm": 0.9609375, + "learning_rate": 4.876909276236395e-06, + "loss": 2.3653, + "step": 344 + }, + { + "epoch": 0.5240174672489083, + "grad_norm": 0.96484375, + "learning_rate": 4.852297697744857e-06, + "loss": 2.4583, + "step": 345 + }, + { + "epoch": 0.5255363584583255, + "grad_norm": 1.0078125, + "learning_rate": 4.827689700586902e-06, + "loss": 2.4109, + "step": 346 + }, + { + "epoch": 0.5270552496677425, + "grad_norm": 0.86328125, + "learning_rate": 4.803085881431949e-06, + "loss": 2.4321, + "step": 347 + }, + { + "epoch": 0.5285741408771597, + "grad_norm": 0.98046875, + "learning_rate": 4.778486836848107e-06, + "loss": 2.5462, + "step": 348 + }, + { + "epoch": 0.5300930320865768, + "grad_norm": 0.9921875, + "learning_rate": 4.7538931632877254e-06, + "loss": 2.3965, + "step": 349 + }, + { + "epoch": 0.5316119232959939, + "grad_norm": 1.03125, + "learning_rate": 4.729305457072913e-06, + "loss": 2.4898, + "step": 350 + }, + { + "epoch": 0.533130814505411, + "grad_norm": 0.9140625, + "learning_rate": 4.704724314381097e-06, + "loss": 2.4746, + "step": 351 + }, + { + "epoch": 0.5346497057148282, + "grad_norm": 0.875, + "learning_rate": 4.680150331230552e-06, + "loss": 2.3629, + "step": 352 + }, + { + "epoch": 0.5361685969242453, + "grad_norm": 1.0234375, + "learning_rate": 4.6555841034659625e-06, + "loss": 2.3738, + "step": 353 + }, + { + "epoch": 0.5376874881336624, + "grad_norm": 0.9140625, + "learning_rate": 4.631026226743962e-06, + "loss": 2.4069, + "step": 354 + }, + { + "epoch": 0.5392063793430796, + "grad_norm": 0.921875, + "learning_rate": 4.606477296518698e-06, + "loss": 2.344, + "step": 355 + }, + { + "epoch": 0.5407252705524966, + "grad_norm": 0.91015625, + "learning_rate": 4.581937908027397e-06, + "loss": 2.4081, + "step": 356 + }, + { + "epoch": 0.5422441617619138, + "grad_norm": 0.921875, + "learning_rate": 4.55740865627592e-06, + "loss": 2.4161, + "step": 357 + }, + { + "epoch": 0.5437630529713309, + "grad_norm": 0.91796875, + "learning_rate": 4.532890136024351e-06, + "loss": 2.4184, + "step": 358 + }, + { + "epoch": 0.545281944180748, + "grad_norm": 0.93359375, + "learning_rate": 4.508382941772558e-06, + "loss": 2.4924, + "step": 359 + }, + { + "epoch": 0.5468008353901652, + "grad_norm": 0.90234375, + "learning_rate": 4.483887667745798e-06, + "loss": 2.3855, + "step": 360 + }, + { + "epoch": 0.5483197265995823, + "grad_norm": 0.96484375, + "learning_rate": 4.459404907880293e-06, + "loss": 2.4468, + "step": 361 + }, + { + "epoch": 0.5498386178089995, + "grad_norm": 0.953125, + "learning_rate": 4.434935255808831e-06, + "loss": 2.3802, + "step": 362 + }, + { + "epoch": 0.5513575090184165, + "grad_norm": 1.0078125, + "learning_rate": 4.410479304846385e-06, + "loss": 2.35, + "step": 363 + }, + { + "epoch": 0.5528764002278337, + "grad_norm": 0.91796875, + "learning_rate": 4.386037647975708e-06, + "loss": 2.3869, + "step": 364 + }, + { + "epoch": 0.5543952914372509, + "grad_norm": 1.265625, + "learning_rate": 4.361610877832974e-06, + "loss": 2.41, + "step": 365 + }, + { + "epoch": 0.5559141826466679, + "grad_norm": 0.9296875, + "learning_rate": 4.337199586693389e-06, + "loss": 2.3689, + "step": 366 + }, + { + "epoch": 0.5574330738560851, + "grad_norm": 1.0078125, + "learning_rate": 4.312804366456851e-06, + "loss": 2.4504, + "step": 367 + }, + { + "epoch": 0.5589519650655022, + "grad_norm": 0.98046875, + "learning_rate": 4.2884258086335755e-06, + "loss": 2.4652, + "step": 368 + }, + { + "epoch": 0.5604708562749193, + "grad_norm": 0.9140625, + "learning_rate": 4.2640645043297715e-06, + "loss": 2.4019, + "step": 369 + }, + { + "epoch": 0.5619897474843364, + "grad_norm": 0.8828125, + "learning_rate": 4.239721044233306e-06, + "loss": 2.306, + "step": 370 + }, + { + "epoch": 0.5635086386937536, + "grad_norm": 0.85546875, + "learning_rate": 4.215396018599369e-06, + "loss": 2.3859, + "step": 371 + }, + { + "epoch": 0.5650275299031707, + "grad_norm": 0.890625, + "learning_rate": 4.191090017236177e-06, + "loss": 2.3734, + "step": 372 + }, + { + "epoch": 0.5665464211125878, + "grad_norm": 1.0078125, + "learning_rate": 4.166803629490664e-06, + "loss": 2.4194, + "step": 373 + }, + { + "epoch": 0.568065312322005, + "grad_norm": 0.93359375, + "learning_rate": 4.142537444234192e-06, + "loss": 2.4815, + "step": 374 + }, + { + "epoch": 0.569584203531422, + "grad_norm": 0.8828125, + "learning_rate": 4.118292049848277e-06, + "loss": 2.4493, + "step": 375 + }, + { + "epoch": 0.5711030947408392, + "grad_norm": 0.8828125, + "learning_rate": 4.094068034210313e-06, + "loss": 2.4458, + "step": 376 + }, + { + "epoch": 0.5726219859502563, + "grad_norm": 0.91796875, + "learning_rate": 4.069865984679332e-06, + "loss": 2.4004, + "step": 377 + }, + { + "epoch": 0.5741408771596734, + "grad_norm": 0.87109375, + "learning_rate": 4.045686488081748e-06, + "loss": 2.4643, + "step": 378 + }, + { + "epoch": 0.5756597683690906, + "grad_norm": 0.91796875, + "learning_rate": 4.021530130697141e-06, + "loss": 2.4709, + "step": 379 + }, + { + "epoch": 0.5771786595785077, + "grad_norm": 0.84765625, + "learning_rate": 3.997397498244028e-06, + "loss": 2.4853, + "step": 380 + }, + { + "epoch": 0.5786975507879248, + "grad_norm": 0.9453125, + "learning_rate": 3.97328917586567e-06, + "loss": 2.5029, + "step": 381 + }, + { + "epoch": 0.5802164419973419, + "grad_norm": 0.95703125, + "learning_rate": 3.9492057481158905e-06, + "loss": 2.4853, + "step": 382 + }, + { + "epoch": 0.5817353332067591, + "grad_norm": 1.046875, + "learning_rate": 3.92514779894488e-06, + "loss": 2.4058, + "step": 383 + }, + { + "epoch": 0.5832542244161761, + "grad_norm": 1.2578125, + "learning_rate": 3.901115911685063e-06, + "loss": 2.4426, + "step": 384 + }, + { + "epoch": 0.5847731156255933, + "grad_norm": 1.25, + "learning_rate": 3.877110669036932e-06, + "loss": 2.4151, + "step": 385 + }, + { + "epoch": 0.5862920068350105, + "grad_norm": 0.89453125, + "learning_rate": 3.853132653054936e-06, + "loss": 2.4061, + "step": 386 + }, + { + "epoch": 0.5878108980444275, + "grad_norm": 0.89453125, + "learning_rate": 3.829182445133356e-06, + "loss": 2.4192, + "step": 387 + }, + { + "epoch": 0.5893297892538447, + "grad_norm": 0.95703125, + "learning_rate": 3.8052606259922097e-06, + "loss": 2.3988, + "step": 388 + }, + { + "epoch": 0.5908486804632618, + "grad_norm": 0.9140625, + "learning_rate": 3.7813677756631773e-06, + "loss": 2.4392, + "step": 389 + }, + { + "epoch": 0.592367571672679, + "grad_norm": 0.94140625, + "learning_rate": 3.75750447347553e-06, + "loss": 2.3739, + "step": 390 + }, + { + "epoch": 0.5938864628820961, + "grad_norm": 0.91796875, + "learning_rate": 3.7336712980420897e-06, + "loss": 2.4588, + "step": 391 + }, + { + "epoch": 0.5954053540915132, + "grad_norm": 0.91015625, + "learning_rate": 3.7098688272451893e-06, + "loss": 2.4266, + "step": 392 + }, + { + "epoch": 0.5969242453009304, + "grad_norm": 0.97265625, + "learning_rate": 3.6860976382226747e-06, + "loss": 2.3617, + "step": 393 + }, + { + "epoch": 0.5984431365103474, + "grad_norm": 1.109375, + "learning_rate": 3.662358307353897e-06, + "loss": 2.4095, + "step": 394 + }, + { + "epoch": 0.5999620277197646, + "grad_norm": 0.921875, + "learning_rate": 3.638651410245746e-06, + "loss": 2.5, + "step": 395 + }, + { + "epoch": 0.6014809189291817, + "grad_norm": 0.96484375, + "learning_rate": 3.6149775217186954e-06, + "loss": 2.4601, + "step": 396 + }, + { + "epoch": 0.6029998101385988, + "grad_norm": 0.89453125, + "learning_rate": 3.5913372157928515e-06, + "loss": 2.4496, + "step": 397 + }, + { + "epoch": 0.604518701348016, + "grad_norm": 0.90234375, + "learning_rate": 3.5677310656740537e-06, + "loss": 2.367, + "step": 398 + }, + { + "epoch": 0.6060375925574331, + "grad_norm": 0.85546875, + "learning_rate": 3.5441596437399596e-06, + "loss": 2.4182, + "step": 399 + }, + { + "epoch": 0.6075564837668502, + "grad_norm": 0.91015625, + "learning_rate": 3.5206235215261785e-06, + "loss": 2.4485, + "step": 400 + }, + { + "epoch": 0.6090753749762673, + "grad_norm": 0.859375, + "learning_rate": 3.4971232697124046e-06, + "loss": 2.3709, + "step": 401 + }, + { + "epoch": 0.6105942661856845, + "grad_norm": 0.9140625, + "learning_rate": 3.4736594581085837e-06, + "loss": 2.4012, + "step": 402 + }, + { + "epoch": 0.6121131573951015, + "grad_norm": 1.0234375, + "learning_rate": 3.4502326556411e-06, + "loss": 2.484, + "step": 403 + }, + { + "epoch": 0.6136320486045187, + "grad_norm": 0.9140625, + "learning_rate": 3.4268434303389747e-06, + "loss": 2.3686, + "step": 404 + }, + { + "epoch": 0.6151509398139359, + "grad_norm": 0.9140625, + "learning_rate": 3.403492349320101e-06, + "loss": 2.4893, + "step": 405 + }, + { + "epoch": 0.6166698310233529, + "grad_norm": 0.8828125, + "learning_rate": 3.380179978777482e-06, + "loss": 2.4911, + "step": 406 + }, + { + "epoch": 0.6181887222327701, + "grad_norm": 0.94921875, + "learning_rate": 3.356906883965516e-06, + "loss": 2.4203, + "step": 407 + }, + { + "epoch": 0.6197076134421872, + "grad_norm": 0.8671875, + "learning_rate": 3.33367362918628e-06, + "loss": 2.4613, + "step": 408 + }, + { + "epoch": 0.6212265046516043, + "grad_norm": 0.91796875, + "learning_rate": 3.3104807777758487e-06, + "loss": 2.4544, + "step": 409 + }, + { + "epoch": 0.6227453958610214, + "grad_norm": 0.86328125, + "learning_rate": 3.2873288920906436e-06, + "loss": 2.4338, + "step": 410 + }, + { + "epoch": 0.6242642870704386, + "grad_norm": 1.0078125, + "learning_rate": 3.2642185334937853e-06, + "loss": 2.5019, + "step": 411 + }, + { + "epoch": 0.6257831782798557, + "grad_norm": 0.94921875, + "learning_rate": 3.2411502623414925e-06, + "loss": 2.4375, + "step": 412 + }, + { + "epoch": 0.6273020694892728, + "grad_norm": 0.90625, + "learning_rate": 3.2181246379694886e-06, + "loss": 2.4859, + "step": 413 + }, + { + "epoch": 0.62882096069869, + "grad_norm": 0.94921875, + "learning_rate": 3.1951422186794447e-06, + "loss": 2.4439, + "step": 414 + }, + { + "epoch": 0.630339851908107, + "grad_norm": 0.84765625, + "learning_rate": 3.1722035617254333e-06, + "loss": 2.411, + "step": 415 + }, + { + "epoch": 0.6318587431175242, + "grad_norm": 1.0078125, + "learning_rate": 3.149309223300428e-06, + "loss": 2.3643, + "step": 416 + }, + { + "epoch": 0.6333776343269414, + "grad_norm": 1.078125, + "learning_rate": 3.126459758522813e-06, + "loss": 2.4063, + "step": 417 + }, + { + "epoch": 0.6348965255363584, + "grad_norm": 1.0390625, + "learning_rate": 3.103655721422917e-06, + "loss": 2.4542, + "step": 418 + }, + { + "epoch": 0.6364154167457756, + "grad_norm": 0.8671875, + "learning_rate": 3.080897664929592e-06, + "loss": 2.392, + "step": 419 + }, + { + "epoch": 0.6379343079551927, + "grad_norm": 0.92578125, + "learning_rate": 3.0581861408567907e-06, + "loss": 2.4415, + "step": 420 + }, + { + "epoch": 0.6394531991646099, + "grad_norm": 0.86328125, + "learning_rate": 3.035521699890206e-06, + "loss": 2.414, + "step": 421 + }, + { + "epoch": 0.6409720903740269, + "grad_norm": 0.8828125, + "learning_rate": 3.0129048915739013e-06, + "loss": 2.48, + "step": 422 + }, + { + "epoch": 0.6424909815834441, + "grad_norm": 1.0546875, + "learning_rate": 2.9903362642969903e-06, + "loss": 2.4107, + "step": 423 + }, + { + "epoch": 0.6440098727928613, + "grad_norm": 4.15625, + "learning_rate": 2.967816365280351e-06, + "loss": 2.4132, + "step": 424 + }, + { + "epoch": 0.6455287640022783, + "grad_norm": 0.9140625, + "learning_rate": 2.94534574056334e-06, + "loss": 2.4418, + "step": 425 + }, + { + "epoch": 0.6470476552116955, + "grad_norm": 0.87890625, + "learning_rate": 2.9229249349905686e-06, + "loss": 2.4867, + "step": 426 + }, + { + "epoch": 0.6485665464211126, + "grad_norm": 0.84375, + "learning_rate": 2.9005544921986774e-06, + "loss": 2.4427, + "step": 427 + }, + { + "epoch": 0.6500854376305297, + "grad_norm": 1.140625, + "learning_rate": 2.8782349546031673e-06, + "loss": 2.4603, + "step": 428 + }, + { + "epoch": 0.6516043288399468, + "grad_norm": 0.84375, + "learning_rate": 2.8559668633852433e-06, + "loss": 2.382, + "step": 429 + }, + { + "epoch": 0.653123220049364, + "grad_norm": 0.8359375, + "learning_rate": 2.8337507584786826e-06, + "loss": 2.4133, + "step": 430 + }, + { + "epoch": 0.6546421112587811, + "grad_norm": 0.8671875, + "learning_rate": 2.811587178556764e-06, + "loss": 2.4165, + "step": 431 + }, + { + "epoch": 0.6561610024681982, + "grad_norm": 0.99609375, + "learning_rate": 2.789476661019186e-06, + "loss": 2.4604, + "step": 432 + }, + { + "epoch": 0.6576798936776154, + "grad_norm": 0.93359375, + "learning_rate": 2.7674197419790493e-06, + "loss": 2.4372, + "step": 433 + }, + { + "epoch": 0.6591987848870324, + "grad_norm": 0.87109375, + "learning_rate": 2.7454169562498503e-06, + "loss": 2.4066, + "step": 434 + }, + { + "epoch": 0.6607176760964496, + "grad_norm": 0.91796875, + "learning_rate": 2.723468837332517e-06, + "loss": 2.42, + "step": 435 + }, + { + "epoch": 0.6622365673058667, + "grad_norm": 0.9765625, + "learning_rate": 2.7015759174024756e-06, + "loss": 2.3347, + "step": 436 + }, + { + "epoch": 0.6637554585152838, + "grad_norm": 0.87109375, + "learning_rate": 2.6797387272967414e-06, + "loss": 2.4629, + "step": 437 + }, + { + "epoch": 0.665274349724701, + "grad_norm": 0.98046875, + "learning_rate": 2.65795779650105e-06, + "loss": 2.4078, + "step": 438 + }, + { + "epoch": 0.6667932409341181, + "grad_norm": 0.8984375, + "learning_rate": 2.63623365313702e-06, + "loss": 2.4538, + "step": 439 + }, + { + "epoch": 0.6683121321435352, + "grad_norm": 0.88671875, + "learning_rate": 2.614566823949348e-06, + "loss": 2.4317, + "step": 440 + }, + { + "epoch": 0.6698310233529523, + "grad_norm": 0.89453125, + "learning_rate": 2.592957834293033e-06, + "loss": 2.3749, + "step": 441 + }, + { + "epoch": 0.6713499145623695, + "grad_norm": 0.88671875, + "learning_rate": 2.5714072081206407e-06, + "loss": 2.4384, + "step": 442 + }, + { + "epoch": 0.6728688057717866, + "grad_norm": 0.8515625, + "learning_rate": 2.5499154679696014e-06, + "loss": 2.4108, + "step": 443 + }, + { + "epoch": 0.6743876969812037, + "grad_norm": 0.8828125, + "learning_rate": 2.528483134949535e-06, + "loss": 2.4876, + "step": 444 + }, + { + "epoch": 0.6759065881906209, + "grad_norm": 0.84375, + "learning_rate": 2.50711072872962e-06, + "loss": 2.4413, + "step": 445 + }, + { + "epoch": 0.6774254794000379, + "grad_norm": 0.87890625, + "learning_rate": 2.4857987675259887e-06, + "loss": 2.4378, + "step": 446 + }, + { + "epoch": 0.6789443706094551, + "grad_norm": 0.90625, + "learning_rate": 2.4645477680891734e-06, + "loss": 2.4039, + "step": 447 + }, + { + "epoch": 0.6804632618188722, + "grad_norm": 0.890625, + "learning_rate": 2.4433582456915556e-06, + "loss": 2.5087, + "step": 448 + }, + { + "epoch": 0.6819821530282894, + "grad_norm": 0.93359375, + "learning_rate": 2.422230714114891e-06, + "loss": 2.3984, + "step": 449 + }, + { + "epoch": 0.6835010442377065, + "grad_norm": 0.96875, + "learning_rate": 2.4011656856378513e-06, + "loss": 2.3983, + "step": 450 + }, + { + "epoch": 0.6850199354471236, + "grad_norm": 0.9296875, + "learning_rate": 2.3801636710235836e-06, + "loss": 2.4803, + "step": 451 + }, + { + "epoch": 0.6865388266565408, + "grad_norm": 0.85546875, + "learning_rate": 2.3592251795073564e-06, + "loss": 2.4262, + "step": 452 + }, + { + "epoch": 0.6880577178659578, + "grad_norm": 0.8828125, + "learning_rate": 2.338350718784177e-06, + "loss": 2.4503, + "step": 453 + }, + { + "epoch": 0.689576609075375, + "grad_norm": 0.87109375, + "learning_rate": 2.3175407949965167e-06, + "loss": 2.4356, + "step": 454 + }, + { + "epoch": 0.691095500284792, + "grad_norm": 0.8671875, + "learning_rate": 2.296795912722014e-06, + "loss": 2.4435, + "step": 455 + }, + { + "epoch": 0.6926143914942092, + "grad_norm": 1.0, + "learning_rate": 2.2761165749612417e-06, + "loss": 2.3985, + "step": 456 + }, + { + "epoch": 0.6941332827036264, + "grad_norm": 0.94921875, + "learning_rate": 2.25550328312553e-06, + "loss": 2.4073, + "step": 457 + }, + { + "epoch": 0.6956521739130435, + "grad_norm": 0.88671875, + "learning_rate": 2.2349565370247837e-06, + "loss": 2.3838, + "step": 458 + }, + { + "epoch": 0.6971710651224606, + "grad_norm": 0.91015625, + "learning_rate": 2.214476834855382e-06, + "loss": 2.4342, + "step": 459 + }, + { + "epoch": 0.6986899563318777, + "grad_norm": 0.84375, + "learning_rate": 2.1940646731880887e-06, + "loss": 2.4411, + "step": 460 + }, + { + "epoch": 0.7002088475412949, + "grad_norm": 0.859375, + "learning_rate": 2.173720546956015e-06, + "loss": 2.4685, + "step": 461 + }, + { + "epoch": 0.7017277387507119, + "grad_norm": 0.9375, + "learning_rate": 2.1534449494426203e-06, + "loss": 2.4395, + "step": 462 + }, + { + "epoch": 0.7032466299601291, + "grad_norm": 0.921875, + "learning_rate": 2.1332383722697483e-06, + "loss": 2.3932, + "step": 463 + }, + { + "epoch": 0.7047655211695463, + "grad_norm": 0.9375, + "learning_rate": 2.1131013053857097e-06, + "loss": 2.4367, + "step": 464 + }, + { + "epoch": 0.7062844123789633, + "grad_norm": 1.15625, + "learning_rate": 2.0930342370534013e-06, + "loss": 2.4825, + "step": 465 + }, + { + "epoch": 0.7078033035883805, + "grad_norm": 0.87890625, + "learning_rate": 2.073037653838466e-06, + "loss": 2.4702, + "step": 466 + }, + { + "epoch": 0.7093221947977976, + "grad_norm": 0.96875, + "learning_rate": 2.053112040597495e-06, + "loss": 2.3709, + "step": 467 + }, + { + "epoch": 0.7108410860072147, + "grad_norm": 0.96875, + "learning_rate": 2.0332578804662783e-06, + "loss": 2.3477, + "step": 468 + }, + { + "epoch": 0.7123599772166319, + "grad_norm": 0.859375, + "learning_rate": 2.013475654848076e-06, + "loss": 2.3872, + "step": 469 + }, + { + "epoch": 0.713878868426049, + "grad_norm": 0.9140625, + "learning_rate": 1.99376584340196e-06, + "loss": 2.4375, + "step": 470 + }, + { + "epoch": 0.7153977596354661, + "grad_norm": 0.85546875, + "learning_rate": 1.9741289240311757e-06, + "loss": 2.4044, + "step": 471 + }, + { + "epoch": 0.7169166508448832, + "grad_norm": 0.84765625, + "learning_rate": 1.954565372871554e-06, + "loss": 2.3834, + "step": 472 + }, + { + "epoch": 0.7184355420543004, + "grad_norm": 0.86328125, + "learning_rate": 1.935075664279978e-06, + "loss": 2.3561, + "step": 473 + }, + { + "epoch": 0.7199544332637174, + "grad_norm": 0.98828125, + "learning_rate": 1.9156602708228584e-06, + "loss": 2.4273, + "step": 474 + }, + { + "epoch": 0.7214733244731346, + "grad_norm": 0.8515625, + "learning_rate": 1.8963196632647008e-06, + "loss": 2.4413, + "step": 475 + }, + { + "epoch": 0.7229922156825518, + "grad_norm": 0.87109375, + "learning_rate": 1.8770543105566752e-06, + "loss": 2.4814, + "step": 476 + }, + { + "epoch": 0.7245111068919688, + "grad_norm": 0.84765625, + "learning_rate": 1.8578646798252432e-06, + "loss": 2.3857, + "step": 477 + }, + { + "epoch": 0.726029998101386, + "grad_norm": 0.9375, + "learning_rate": 1.8387512363608496e-06, + "loss": 2.4597, + "step": 478 + }, + { + "epoch": 0.7275488893108031, + "grad_norm": 0.890625, + "learning_rate": 1.8197144436066167e-06, + "loss": 2.4199, + "step": 479 + }, + { + "epoch": 0.7290677805202203, + "grad_norm": 0.99609375, + "learning_rate": 1.8007547631471289e-06, + "loss": 2.4812, + "step": 480 + }, + { + "epoch": 0.7305866717296373, + "grad_norm": 0.828125, + "learning_rate": 1.781872654697226e-06, + "loss": 2.3901, + "step": 481 + }, + { + "epoch": 0.7321055629390545, + "grad_norm": 0.8515625, + "learning_rate": 1.7630685760908623e-06, + "loss": 2.4603, + "step": 482 + }, + { + "epoch": 0.7336244541484717, + "grad_norm": 0.890625, + "learning_rate": 1.7443429832700038e-06, + "loss": 2.4276, + "step": 483 + }, + { + "epoch": 0.7351433453578887, + "grad_norm": 0.8984375, + "learning_rate": 1.7256963302735752e-06, + "loss": 2.4272, + "step": 484 + }, + { + "epoch": 0.7366622365673059, + "grad_norm": 0.84765625, + "learning_rate": 1.7071290692264492e-06, + "loss": 2.3496, + "step": 485 + }, + { + "epoch": 0.738181127776723, + "grad_norm": 0.88671875, + "learning_rate": 1.6886416503284835e-06, + "loss": 2.4147, + "step": 486 + }, + { + "epoch": 0.7397000189861401, + "grad_norm": 0.8671875, + "learning_rate": 1.6702345218436066e-06, + "loss": 2.4918, + "step": 487 + }, + { + "epoch": 0.7412189101955572, + "grad_norm": 0.8984375, + "learning_rate": 1.6519081300889472e-06, + "loss": 2.4301, + "step": 488 + }, + { + "epoch": 0.7427378014049744, + "grad_norm": 0.8671875, + "learning_rate": 1.6336629194240118e-06, + "loss": 2.4587, + "step": 489 + }, + { + "epoch": 0.7442566926143915, + "grad_norm": 0.85546875, + "learning_rate": 1.6154993322399114e-06, + "loss": 2.386, + "step": 490 + }, + { + "epoch": 0.7457755838238086, + "grad_norm": 0.87109375, + "learning_rate": 1.5974178089486364e-06, + "loss": 2.4635, + "step": 491 + }, + { + "epoch": 0.7472944750332258, + "grad_norm": 0.81640625, + "learning_rate": 1.5794187879723755e-06, + "loss": 2.3878, + "step": 492 + }, + { + "epoch": 0.7488133662426428, + "grad_norm": 0.87890625, + "learning_rate": 1.561502705732883e-06, + "loss": 2.4565, + "step": 493 + }, + { + "epoch": 0.75033225745206, + "grad_norm": 0.8515625, + "learning_rate": 1.543669996640908e-06, + "loss": 2.3761, + "step": 494 + }, + { + "epoch": 0.7518511486614772, + "grad_norm": 0.93359375, + "learning_rate": 1.5259210930856423e-06, + "loss": 2.4103, + "step": 495 + }, + { + "epoch": 0.7533700398708942, + "grad_norm": 0.875, + "learning_rate": 1.5082564254242583e-06, + "loss": 2.4664, + "step": 496 + }, + { + "epoch": 0.7548889310803114, + "grad_norm": 0.828125, + "learning_rate": 1.4906764219714537e-06, + "loss": 2.3815, + "step": 497 + }, + { + "epoch": 0.7564078222897285, + "grad_norm": 0.86328125, + "learning_rate": 1.4731815089890795e-06, + "loss": 2.3936, + "step": 498 + }, + { + "epoch": 0.7579267134991456, + "grad_norm": 0.86328125, + "learning_rate": 1.455772110675804e-06, + "loss": 2.4351, + "step": 499 + }, + { + "epoch": 0.7594456047085627, + "grad_norm": 0.92578125, + "learning_rate": 1.438448649156815e-06, + "loss": 2.4531, + "step": 500 + }, + { + "epoch": 0.7609644959179799, + "grad_norm": 0.859375, + "learning_rate": 1.4212115444736024e-06, + "loss": 2.3204, + "step": 501 + }, + { + "epoch": 0.762483387127397, + "grad_norm": 0.8671875, + "learning_rate": 1.4040612145737608e-06, + "loss": 2.4785, + "step": 502 + }, + { + "epoch": 0.7640022783368141, + "grad_norm": 0.8984375, + "learning_rate": 1.3869980753008537e-06, + "loss": 2.4757, + "step": 503 + }, + { + "epoch": 0.7655211695462313, + "grad_norm": 0.890625, + "learning_rate": 1.370022540384347e-06, + "loss": 2.3726, + "step": 504 + }, + { + "epoch": 0.7670400607556483, + "grad_norm": 0.8359375, + "learning_rate": 1.353135021429554e-06, + "loss": 2.4188, + "step": 505 + }, + { + "epoch": 0.7685589519650655, + "grad_norm": 0.8203125, + "learning_rate": 1.3363359279076776e-06, + "loss": 2.3275, + "step": 506 + }, + { + "epoch": 0.7700778431744826, + "grad_norm": 0.93359375, + "learning_rate": 1.3196256671458663e-06, + "loss": 2.4475, + "step": 507 + }, + { + "epoch": 0.7715967343838998, + "grad_norm": 0.875, + "learning_rate": 1.3030046443173445e-06, + "loss": 2.3754, + "step": 508 + }, + { + "epoch": 0.7731156255933169, + "grad_norm": 0.84765625, + "learning_rate": 1.2864732624315867e-06, + "loss": 2.4502, + "step": 509 + }, + { + "epoch": 0.774634516802734, + "grad_norm": 0.89453125, + "learning_rate": 1.270031922324546e-06, + "loss": 2.4717, + "step": 510 + }, + { + "epoch": 0.7761534080121512, + "grad_norm": 0.87109375, + "learning_rate": 1.2536810226489354e-06, + "loss": 2.4426, + "step": 511 + }, + { + "epoch": 0.7776722992215682, + "grad_norm": 0.87109375, + "learning_rate": 1.237420959864561e-06, + "loss": 2.3612, + "step": 512 + }, + { + "epoch": 0.7791911904309854, + "grad_norm": 0.83203125, + "learning_rate": 1.2212521282287093e-06, + "loss": 2.4509, + "step": 513 + }, + { + "epoch": 0.7807100816404025, + "grad_norm": 0.8515625, + "learning_rate": 1.2051749197865875e-06, + "loss": 2.4396, + "step": 514 + }, + { + "epoch": 0.7822289728498196, + "grad_norm": 0.80859375, + "learning_rate": 1.1891897243618184e-06, + "loss": 2.4232, + "step": 515 + }, + { + "epoch": 0.7837478640592368, + "grad_norm": 0.87109375, + "learning_rate": 1.173296929546987e-06, + "loss": 2.4108, + "step": 516 + }, + { + "epoch": 0.7852667552686539, + "grad_norm": 0.81640625, + "learning_rate": 1.1574969206942443e-06, + "loss": 2.4057, + "step": 517 + }, + { + "epoch": 0.786785646478071, + "grad_norm": 0.82421875, + "learning_rate": 1.1417900809059623e-06, + "loss": 2.4187, + "step": 518 + }, + { + "epoch": 0.7883045376874881, + "grad_norm": 0.87890625, + "learning_rate": 1.1261767910254422e-06, + "loss": 2.4451, + "step": 519 + }, + { + "epoch": 0.7898234288969053, + "grad_norm": 0.828125, + "learning_rate": 1.1106574296276923e-06, + "loss": 2.3739, + "step": 520 + }, + { + "epoch": 0.7913423201063224, + "grad_norm": 0.99609375, + "learning_rate": 1.095232373010226e-06, + "loss": 2.4306, + "step": 521 + }, + { + "epoch": 0.7928612113157395, + "grad_norm": 0.85546875, + "learning_rate": 1.0799019951839656e-06, + "loss": 2.3165, + "step": 522 + }, + { + "epoch": 0.7943801025251567, + "grad_norm": 0.89453125, + "learning_rate": 1.0646666678641477e-06, + "loss": 2.4474, + "step": 523 + }, + { + "epoch": 0.7958989937345737, + "grad_norm": 0.859375, + "learning_rate": 1.0495267604613273e-06, + "loss": 2.4753, + "step": 524 + }, + { + "epoch": 0.7974178849439909, + "grad_norm": 0.84375, + "learning_rate": 1.0344826400724185e-06, + "loss": 2.3867, + "step": 525 + }, + { + "epoch": 0.798936776153408, + "grad_norm": 0.84765625, + "learning_rate": 1.0195346714717813e-06, + "loss": 2.4024, + "step": 526 + }, + { + "epoch": 0.8004556673628251, + "grad_norm": 0.83984375, + "learning_rate": 1.0046832171023952e-06, + "loss": 2.4095, + "step": 527 + }, + { + "epoch": 0.8019745585722423, + "grad_norm": 0.8828125, + "learning_rate": 9.899286370670575e-07, + "loss": 2.4188, + "step": 528 + }, + { + "epoch": 0.8034934497816594, + "grad_norm": 0.9921875, + "learning_rate": 9.752712891196558e-07, + "loss": 2.3859, + "step": 529 + }, + { + "epoch": 0.8050123409910765, + "grad_norm": 0.8515625, + "learning_rate": 9.607115286564972e-07, + "loss": 2.4168, + "step": 530 + }, + { + "epoch": 0.8065312322004936, + "grad_norm": 0.83984375, + "learning_rate": 9.46249708707681e-07, + "loss": 2.4961, + "step": 531 + }, + { + "epoch": 0.8080501234099108, + "grad_norm": 0.92578125, + "learning_rate": 9.318861799285539e-07, + "loss": 2.4079, + "step": 532 + }, + { + "epoch": 0.8095690146193278, + "grad_norm": 0.8203125, + "learning_rate": 9.176212905911946e-07, + "loss": 2.4301, + "step": 533 + }, + { + "epoch": 0.811087905828745, + "grad_norm": 0.9375, + "learning_rate": 9.034553865759754e-07, + "loss": 2.3373, + "step": 534 + }, + { + "epoch": 0.8126067970381622, + "grad_norm": 0.8515625, + "learning_rate": 8.893888113631732e-07, + "loss": 2.4129, + "step": 535 + }, + { + "epoch": 0.8141256882475792, + "grad_norm": 0.8359375, + "learning_rate": 8.754219060246432e-07, + "loss": 2.4006, + "step": 536 + }, + { + "epoch": 0.8156445794569964, + "grad_norm": 0.875, + "learning_rate": 8.615550092155478e-07, + "loss": 2.4266, + "step": 537 + }, + { + "epoch": 0.8171634706664135, + "grad_norm": 0.859375, + "learning_rate": 8.477884571661449e-07, + "loss": 2.338, + "step": 538 + }, + { + "epoch": 0.8186823618758307, + "grad_norm": 1.0234375, + "learning_rate": 8.341225836736367e-07, + "loss": 2.3338, + "step": 539 + }, + { + "epoch": 0.8202012530852477, + "grad_norm": 1.03125, + "learning_rate": 8.20557720094074e-07, + "loss": 2.4662, + "step": 540 + }, + { + "epoch": 0.8217201442946649, + "grad_norm": 0.84765625, + "learning_rate": 8.070941953343242e-07, + "loss": 2.4553, + "step": 541 + }, + { + "epoch": 0.8232390355040821, + "grad_norm": 0.828125, + "learning_rate": 7.937323358440935e-07, + "loss": 2.385, + "step": 542 + }, + { + "epoch": 0.8247579267134991, + "grad_norm": 0.82421875, + "learning_rate": 7.804724656080182e-07, + "loss": 2.3504, + "step": 543 + }, + { + "epoch": 0.8262768179229163, + "grad_norm": 0.86328125, + "learning_rate": 7.673149061377966e-07, + "loss": 2.4097, + "step": 544 + }, + { + "epoch": 0.8277957091323334, + "grad_norm": 0.84765625, + "learning_rate": 7.542599764644049e-07, + "loss": 2.3469, + "step": 545 + }, + { + "epoch": 0.8293146003417505, + "grad_norm": 0.8671875, + "learning_rate": 7.413079931303591e-07, + "loss": 2.3823, + "step": 546 + }, + { + "epoch": 0.8308334915511677, + "grad_norm": 0.8671875, + "learning_rate": 7.284592701820325e-07, + "loss": 2.4564, + "step": 547 + }, + { + "epoch": 0.8323523827605848, + "grad_norm": 0.93359375, + "learning_rate": 7.157141191620548e-07, + "loss": 2.4415, + "step": 548 + }, + { + "epoch": 0.8338712739700019, + "grad_norm": 0.87890625, + "learning_rate": 7.030728491017408e-07, + "loss": 2.4262, + "step": 549 + }, + { + "epoch": 0.835390165179419, + "grad_norm": 0.87890625, + "learning_rate": 6.905357665136142e-07, + "loss": 2.3055, + "step": 550 + }, + { + "epoch": 0.8369090563888362, + "grad_norm": 0.88671875, + "learning_rate": 6.781031753839662e-07, + "loss": 2.5036, + "step": 551 + }, + { + "epoch": 0.8384279475982532, + "grad_norm": 0.8515625, + "learning_rate": 6.657753771654812e-07, + "loss": 2.3845, + "step": 552 + }, + { + "epoch": 0.8399468388076704, + "grad_norm": 0.828125, + "learning_rate": 6.535526707699408e-07, + "loss": 2.3961, + "step": 553 + }, + { + "epoch": 0.8414657300170876, + "grad_norm": 0.83203125, + "learning_rate": 6.414353525609628e-07, + "loss": 2.4355, + "step": 554 + }, + { + "epoch": 0.8429846212265046, + "grad_norm": 0.87890625, + "learning_rate": 6.294237163468231e-07, + "loss": 2.4291, + "step": 555 + }, + { + "epoch": 0.8445035124359218, + "grad_norm": 0.875, + "learning_rate": 6.175180533733277e-07, + "loss": 2.4261, + "step": 556 + }, + { + "epoch": 0.8460224036453389, + "grad_norm": 0.890625, + "learning_rate": 6.057186523167529e-07, + "loss": 2.4062, + "step": 557 + }, + { + "epoch": 0.847541294854756, + "grad_norm": 0.8203125, + "learning_rate": 5.940257992768456e-07, + "loss": 2.4546, + "step": 558 + }, + { + "epoch": 0.8490601860641731, + "grad_norm": 0.8671875, + "learning_rate": 5.824397777698859e-07, + "loss": 2.4496, + "step": 559 + }, + { + "epoch": 0.8505790772735903, + "grad_norm": 0.88671875, + "learning_rate": 5.709608687218116e-07, + "loss": 2.3831, + "step": 560 + }, + { + "epoch": 0.8520979684830075, + "grad_norm": 0.875, + "learning_rate": 5.595893504614097e-07, + "loss": 2.4172, + "step": 561 + }, + { + "epoch": 0.8536168596924245, + "grad_norm": 0.84375, + "learning_rate": 5.483254987135644e-07, + "loss": 2.4194, + "step": 562 + }, + { + "epoch": 0.8551357509018417, + "grad_norm": 0.87890625, + "learning_rate": 5.371695865925736e-07, + "loss": 2.3656, + "step": 563 + }, + { + "epoch": 0.8566546421112587, + "grad_norm": 0.84765625, + "learning_rate": 5.261218845955246e-07, + "loss": 2.3516, + "step": 564 + }, + { + "epoch": 0.8581735333206759, + "grad_norm": 0.859375, + "learning_rate": 5.151826605957394e-07, + "loss": 2.4581, + "step": 565 + }, + { + "epoch": 0.859692424530093, + "grad_norm": 0.90625, + "learning_rate": 5.043521798362755e-07, + "loss": 2.4911, + "step": 566 + }, + { + "epoch": 0.8612113157395102, + "grad_norm": 0.890625, + "learning_rate": 4.936307049234956e-07, + "loss": 2.4658, + "step": 567 + }, + { + "epoch": 0.8627302069489273, + "grad_norm": 0.859375, + "learning_rate": 4.830184958207007e-07, + "loss": 2.4005, + "step": 568 + }, + { + "epoch": 0.8642490981583444, + "grad_norm": 0.875, + "learning_rate": 4.725158098418309e-07, + "loss": 2.4644, + "step": 569 + }, + { + "epoch": 0.8657679893677616, + "grad_norm": 0.8125, + "learning_rate": 4.6212290164521554e-07, + "loss": 2.2967, + "step": 570 + }, + { + "epoch": 0.8672868805771786, + "grad_norm": 0.890625, + "learning_rate": 4.5184002322740784e-07, + "loss": 2.3816, + "step": 571 + }, + { + "epoch": 0.8688057717865958, + "grad_norm": 0.890625, + "learning_rate": 4.4166742391707593e-07, + "loss": 2.4745, + "step": 572 + }, + { + "epoch": 0.870324662996013, + "grad_norm": 0.890625, + "learning_rate": 4.316053503689466e-07, + "loss": 2.4481, + "step": 573 + }, + { + "epoch": 0.87184355420543, + "grad_norm": 0.89453125, + "learning_rate": 4.2165404655783836e-07, + "loss": 2.4813, + "step": 574 + }, + { + "epoch": 0.8733624454148472, + "grad_norm": 0.8671875, + "learning_rate": 4.1181375377273237e-07, + "loss": 2.4648, + "step": 575 + }, + { + "epoch": 0.8748813366242643, + "grad_norm": 0.8515625, + "learning_rate": 4.020847106109349e-07, + "loss": 2.5166, + "step": 576 + }, + { + "epoch": 0.8764002278336814, + "grad_norm": 0.8515625, + "learning_rate": 3.9246715297228176e-07, + "loss": 2.3706, + "step": 577 + }, + { + "epoch": 0.8779191190430985, + "grad_norm": 0.84375, + "learning_rate": 3.829613140534222e-07, + "loss": 2.4946, + "step": 578 + }, + { + "epoch": 0.8794380102525157, + "grad_norm": 0.890625, + "learning_rate": 3.7356742434216775e-07, + "loss": 2.4344, + "step": 579 + }, + { + "epoch": 0.8809569014619328, + "grad_norm": 0.84765625, + "learning_rate": 3.642857116118986e-07, + "loss": 2.4431, + "step": 580 + }, + { + "epoch": 0.8824757926713499, + "grad_norm": 0.875, + "learning_rate": 3.5511640091604293e-07, + "loss": 2.3728, + "step": 581 + }, + { + "epoch": 0.8839946838807671, + "grad_norm": 0.81640625, + "learning_rate": 3.4605971458262e-07, + "loss": 2.358, + "step": 582 + }, + { + "epoch": 0.8855135750901841, + "grad_norm": 0.8515625, + "learning_rate": 3.371158722088497e-07, + "loss": 2.4764, + "step": 583 + }, + { + "epoch": 0.8870324662996013, + "grad_norm": 0.8984375, + "learning_rate": 3.2828509065582713e-07, + "loss": 2.4414, + "step": 584 + }, + { + "epoch": 0.8885513575090184, + "grad_norm": 0.8515625, + "learning_rate": 3.195675840432655e-07, + "loss": 2.4016, + "step": 585 + }, + { + "epoch": 0.8900702487184355, + "grad_norm": 0.85546875, + "learning_rate": 3.109635637443026e-07, + "loss": 2.4212, + "step": 586 + }, + { + "epoch": 0.8915891399278527, + "grad_norm": 0.890625, + "learning_rate": 3.02473238380378e-07, + "loss": 2.2654, + "step": 587 + }, + { + "epoch": 0.8931080311372698, + "grad_norm": 0.953125, + "learning_rate": 2.9409681381617315e-07, + "loss": 2.2745, + "step": 588 + }, + { + "epoch": 0.894626922346687, + "grad_norm": 0.9921875, + "learning_rate": 2.858344931546181e-07, + "loss": 2.3712, + "step": 589 + }, + { + "epoch": 0.896145813556104, + "grad_norm": 0.86328125, + "learning_rate": 2.776864767319731e-07, + "loss": 2.4357, + "step": 590 + }, + { + "epoch": 0.8976647047655212, + "grad_norm": 0.890625, + "learning_rate": 2.696529621129618e-07, + "loss": 2.4577, + "step": 591 + }, + { + "epoch": 0.8991835959749382, + "grad_norm": 0.828125, + "learning_rate": 2.617341440859883e-07, + "loss": 2.3876, + "step": 592 + }, + { + "epoch": 0.9007024871843554, + "grad_norm": 0.9609375, + "learning_rate": 2.539302146584116e-07, + "loss": 2.3993, + "step": 593 + }, + { + "epoch": 0.9022213783937726, + "grad_norm": 0.828125, + "learning_rate": 2.4624136305188895e-07, + "loss": 2.3749, + "step": 594 + }, + { + "epoch": 0.9037402696031896, + "grad_norm": 0.87109375, + "learning_rate": 2.3866777569779234e-07, + "loss": 2.4471, + "step": 595 + }, + { + "epoch": 0.9052591608126068, + "grad_norm": 0.86328125, + "learning_rate": 2.3120963623267822e-07, + "loss": 2.3111, + "step": 596 + }, + { + "epoch": 0.9067780520220239, + "grad_norm": 0.86328125, + "learning_rate": 2.2386712549384848e-07, + "loss": 2.3943, + "step": 597 + }, + { + "epoch": 0.9082969432314411, + "grad_norm": 0.875, + "learning_rate": 2.1664042151495424e-07, + "loss": 2.4127, + "step": 598 + }, + { + "epoch": 0.9098158344408582, + "grad_norm": 0.859375, + "learning_rate": 2.095296995216828e-07, + "loss": 2.5428, + "step": 599 + }, + { + "epoch": 0.9113347256502753, + "grad_norm": 0.88671875, + "learning_rate": 2.0253513192751374e-07, + "loss": 2.4433, + "step": 600 + } + ], + "logging_steps": 1, + "max_steps": 658, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 200, + "total_flos": 1.0970275045913395e+19, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}