diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,4606 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999074845036544, + "eval_steps": 100, + "global_step": 2702, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.001850309926912758, + "grad_norm": 1.5234375, + "learning_rate": 3.690036900369004e-07, + "loss": 1.0642, + "mean_token_accuracy": 0.7239072039072036, + "step": 5 + }, + { + "epoch": 0.003700619853825516, + "grad_norm": 1.3046875, + "learning_rate": 7.380073800738008e-07, + "loss": 1.1073, + "mean_token_accuracy": 0.7138827838827837, + "step": 10 + }, + { + "epoch": 0.005550929780738274, + "grad_norm": 1.40625, + "learning_rate": 1.1070110701107011e-06, + "loss": 1.1028, + "mean_token_accuracy": 0.7148901098901097, + "step": 15 + }, + { + "epoch": 0.007401239707651032, + "grad_norm": 1.203125, + "learning_rate": 1.4760147601476015e-06, + "loss": 1.0562, + "mean_token_accuracy": 0.7275457875457875, + "step": 20 + }, + { + "epoch": 0.00925154963456379, + "grad_norm": 1.2109375, + "learning_rate": 1.845018450184502e-06, + "loss": 1.0957, + "mean_token_accuracy": 0.7136141636141635, + "step": 25 + }, + { + "epoch": 0.011101859561476548, + "grad_norm": 1.3046875, + "learning_rate": 2.2140221402214023e-06, + "loss": 1.1284, + "mean_token_accuracy": 0.7092185592185591, + "step": 30 + }, + { + "epoch": 0.012952169488389306, + "grad_norm": 1.3984375, + "learning_rate": 2.5830258302583027e-06, + "loss": 1.1127, + "mean_token_accuracy": 0.7139438339438338, + "step": 35 + }, + { + "epoch": 0.014802479415302064, + "grad_norm": 1.2890625, + "learning_rate": 2.952029520295203e-06, + "loss": 1.0654, + "mean_token_accuracy": 0.7238278388278386, + "step": 40 + }, + { + "epoch": 0.01665278934221482, + "grad_norm": 1.234375, + "learning_rate": 3.3210332103321034e-06, + "loss": 1.1178, + "mean_token_accuracy": 0.7124236874236874, + "step": 45 + }, + { + "epoch": 0.01850309926912758, + "grad_norm": 1.2109375, + "learning_rate": 3.690036900369004e-06, + "loss": 1.084, + "mean_token_accuracy": 0.718971583971584, + "step": 50 + }, + { + "epoch": 0.020353409196040336, + "grad_norm": 1.1875, + "learning_rate": 4.059040590405905e-06, + "loss": 1.1139, + "mean_token_accuracy": 0.7134981684981684, + "step": 55 + }, + { + "epoch": 0.022203719122953096, + "grad_norm": 1.1640625, + "learning_rate": 4.428044280442805e-06, + "loss": 1.0929, + "mean_token_accuracy": 0.7163919413919414, + "step": 60 + }, + { + "epoch": 0.024054029049865852, + "grad_norm": 1.09375, + "learning_rate": 4.797047970479705e-06, + "loss": 1.096, + "mean_token_accuracy": 0.7136691086691085, + "step": 65 + }, + { + "epoch": 0.025904338976778612, + "grad_norm": 1.125, + "learning_rate": 5.166051660516605e-06, + "loss": 0.9822, + "mean_token_accuracy": 0.7407326007326007, + "step": 70 + }, + { + "epoch": 0.027754648903691368, + "grad_norm": 1.1171875, + "learning_rate": 5.535055350553506e-06, + "loss": 1.0772, + "mean_token_accuracy": 0.7176251526251525, + "step": 75 + }, + { + "epoch": 0.029604958830604128, + "grad_norm": 1.0703125, + "learning_rate": 5.904059040590406e-06, + "loss": 1.098, + "mean_token_accuracy": 0.7138461538461537, + "step": 80 + }, + { + "epoch": 0.031455268757516884, + "grad_norm": 1.109375, + "learning_rate": 6.273062730627307e-06, + "loss": 1.0866, + "mean_token_accuracy": 0.7150976800976799, + "step": 85 + }, + { + "epoch": 0.03330557868442964, + "grad_norm": 1.03125, + "learning_rate": 6.642066420664207e-06, + "loss": 1.0244, + "mean_token_accuracy": 0.7288766788766787, + "step": 90 + }, + { + "epoch": 0.0351558886113424, + "grad_norm": 1.0703125, + "learning_rate": 7.011070110701108e-06, + "loss": 1.0485, + "mean_token_accuracy": 0.7245970695970694, + "step": 95 + }, + { + "epoch": 0.03700619853825516, + "grad_norm": 0.95703125, + "learning_rate": 7.380073800738008e-06, + "loss": 1.0492, + "mean_token_accuracy": 0.7218559218559217, + "step": 100 + }, + { + "epoch": 0.03700619853825516, + "eval_loss": 1.0890889167785645, + "eval_mean_token_accuracy": 0.7098439686674981, + "eval_runtime": 26.1241, + "eval_samples_per_second": 4.938, + "eval_steps_per_second": 1.263, + "step": 100 + }, + { + "epoch": 0.038856508465167916, + "grad_norm": 0.90625, + "learning_rate": 7.749077490774908e-06, + "loss": 1.024, + "mean_token_accuracy": 0.7307387057387057, + "step": 105 + }, + { + "epoch": 0.04070681839208067, + "grad_norm": 0.91015625, + "learning_rate": 8.11808118081181e-06, + "loss": 1.0665, + "mean_token_accuracy": 0.7191514041514042, + "step": 110 + }, + { + "epoch": 0.04255712831899343, + "grad_norm": 0.95703125, + "learning_rate": 8.48708487084871e-06, + "loss": 1.0128, + "mean_token_accuracy": 0.7297191697191696, + "step": 115 + }, + { + "epoch": 0.04440743824590619, + "grad_norm": 0.94140625, + "learning_rate": 8.85608856088561e-06, + "loss": 1.0402, + "mean_token_accuracy": 0.7214346764346763, + "step": 120 + }, + { + "epoch": 0.04625774817281895, + "grad_norm": 0.89453125, + "learning_rate": 9.22509225092251e-06, + "loss": 1.0332, + "mean_token_accuracy": 0.7260256410256407, + "step": 125 + }, + { + "epoch": 0.048108058099731704, + "grad_norm": 0.83984375, + "learning_rate": 9.59409594095941e-06, + "loss": 0.9781, + "mean_token_accuracy": 0.7375274725274725, + "step": 130 + }, + { + "epoch": 0.04995836802664446, + "grad_norm": 0.94921875, + "learning_rate": 9.963099630996312e-06, + "loss": 1.007, + "mean_token_accuracy": 0.7275213675213674, + "step": 135 + }, + { + "epoch": 0.051808677953557224, + "grad_norm": 0.8125, + "learning_rate": 1.033210332103321e-05, + "loss": 1.0039, + "mean_token_accuracy": 0.7260073260073258, + "step": 140 + }, + { + "epoch": 0.05365898788046998, + "grad_norm": 0.828125, + "learning_rate": 1.0701107011070112e-05, + "loss": 1.0001, + "mean_token_accuracy": 0.7317399267399269, + "step": 145 + }, + { + "epoch": 0.055509297807382736, + "grad_norm": 0.703125, + "learning_rate": 1.1070110701107012e-05, + "loss": 1.0008, + "mean_token_accuracy": 0.7304945054945053, + "step": 150 + }, + { + "epoch": 0.05735960773429549, + "grad_norm": 0.8984375, + "learning_rate": 1.1439114391143913e-05, + "loss": 1.0005, + "mean_token_accuracy": 0.7269474969474969, + "step": 155 + }, + { + "epoch": 0.059209917661208256, + "grad_norm": 0.76171875, + "learning_rate": 1.1808118081180812e-05, + "loss": 0.9907, + "mean_token_accuracy": 0.7304334554334554, + "step": 160 + }, + { + "epoch": 0.06106022758812101, + "grad_norm": 0.6796875, + "learning_rate": 1.2177121771217713e-05, + "loss": 0.996, + "mean_token_accuracy": 0.7277838827838826, + "step": 165 + }, + { + "epoch": 0.06291053751503377, + "grad_norm": 0.68359375, + "learning_rate": 1.2546125461254614e-05, + "loss": 0.9898, + "mean_token_accuracy": 0.7293284493284492, + "step": 170 + }, + { + "epoch": 0.06476084744194653, + "grad_norm": 0.71875, + "learning_rate": 1.2915129151291515e-05, + "loss": 0.98, + "mean_token_accuracy": 0.7313614163614164, + "step": 175 + }, + { + "epoch": 0.06661115736885928, + "grad_norm": 0.7109375, + "learning_rate": 1.3284132841328414e-05, + "loss": 0.9618, + "mean_token_accuracy": 0.7372832722832724, + "step": 180 + }, + { + "epoch": 0.06846146729577204, + "grad_norm": 0.78515625, + "learning_rate": 1.3653136531365315e-05, + "loss": 0.9561, + "mean_token_accuracy": 0.7382661782661781, + "step": 185 + }, + { + "epoch": 0.0703117772226848, + "grad_norm": 0.671875, + "learning_rate": 1.4022140221402215e-05, + "loss": 0.9236, + "mean_token_accuracy": 0.7444200244200243, + "step": 190 + }, + { + "epoch": 0.07216208714959756, + "grad_norm": 0.7109375, + "learning_rate": 1.4391143911439116e-05, + "loss": 0.9678, + "mean_token_accuracy": 0.7315262515262515, + "step": 195 + }, + { + "epoch": 0.07401239707651032, + "grad_norm": 0.65625, + "learning_rate": 1.4760147601476015e-05, + "loss": 0.9769, + "mean_token_accuracy": 0.731929181929182, + "step": 200 + }, + { + "epoch": 0.07401239707651032, + "eval_loss": 0.9760187864303589, + "eval_mean_token_accuracy": 0.7278203278203277, + "eval_runtime": 26.1, + "eval_samples_per_second": 4.943, + "eval_steps_per_second": 1.264, + "step": 200 + }, + { + "epoch": 0.07586270700342307, + "grad_norm": 0.62890625, + "learning_rate": 1.5129151291512916e-05, + "loss": 0.9567, + "mean_token_accuracy": 0.7375702075702076, + "step": 205 + }, + { + "epoch": 0.07771301693033583, + "grad_norm": 0.671875, + "learning_rate": 1.5498154981549817e-05, + "loss": 0.9302, + "mean_token_accuracy": 0.741050061050061, + "step": 210 + }, + { + "epoch": 0.0795633268572486, + "grad_norm": 0.71484375, + "learning_rate": 1.5867158671586716e-05, + "loss": 0.9151, + "mean_token_accuracy": 0.7447313797313797, + "step": 215 + }, + { + "epoch": 0.08141363678416134, + "grad_norm": 0.86328125, + "learning_rate": 1.623616236162362e-05, + "loss": 1.0001, + "mean_token_accuracy": 0.7228144078144076, + "step": 220 + }, + { + "epoch": 0.08326394671107411, + "grad_norm": 0.6640625, + "learning_rate": 1.6605166051660518e-05, + "loss": 0.9472, + "mean_token_accuracy": 0.7352869352869352, + "step": 225 + }, + { + "epoch": 0.08511425663798686, + "grad_norm": 0.6484375, + "learning_rate": 1.697416974169742e-05, + "loss": 0.908, + "mean_token_accuracy": 0.746043956043956, + "step": 230 + }, + { + "epoch": 0.08696456656489962, + "grad_norm": 0.6640625, + "learning_rate": 1.734317343173432e-05, + "loss": 0.923, + "mean_token_accuracy": 0.7423565323565324, + "step": 235 + }, + { + "epoch": 0.08881487649181238, + "grad_norm": 0.62890625, + "learning_rate": 1.771217712177122e-05, + "loss": 0.9013, + "mean_token_accuracy": 0.7460927960927961, + "step": 240 + }, + { + "epoch": 0.09066518641872513, + "grad_norm": 0.61328125, + "learning_rate": 1.8081180811808117e-05, + "loss": 0.9575, + "mean_token_accuracy": 0.7327838827838828, + "step": 245 + }, + { + "epoch": 0.0925154963456379, + "grad_norm": 0.5859375, + "learning_rate": 1.845018450184502e-05, + "loss": 0.9318, + "mean_token_accuracy": 0.738046398046398, + "step": 250 + }, + { + "epoch": 0.09436580627255066, + "grad_norm": 0.609375, + "learning_rate": 1.8819188191881922e-05, + "loss": 0.9054, + "mean_token_accuracy": 0.7462454212454211, + "step": 255 + }, + { + "epoch": 0.09621611619946341, + "grad_norm": 0.60546875, + "learning_rate": 1.918819188191882e-05, + "loss": 0.902, + "mean_token_accuracy": 0.7438034188034188, + "step": 260 + }, + { + "epoch": 0.09806642612637617, + "grad_norm": 0.61328125, + "learning_rate": 1.955719557195572e-05, + "loss": 0.9187, + "mean_token_accuracy": 0.7422344322344321, + "step": 265 + }, + { + "epoch": 0.09991673605328892, + "grad_norm": 0.58203125, + "learning_rate": 1.9926199261992623e-05, + "loss": 0.9635, + "mean_token_accuracy": 0.7290415140415138, + "step": 270 + }, + { + "epoch": 0.10176704598020168, + "grad_norm": 0.60546875, + "learning_rate": 1.9999866396188624e-05, + "loss": 0.9206, + "mean_token_accuracy": 0.7384615384615383, + "step": 275 + }, + { + "epoch": 0.10361735590711445, + "grad_norm": 0.625, + "learning_rate": 1.9999323636823398e-05, + "loss": 0.8948, + "mean_token_accuracy": 0.7485653235653235, + "step": 280 + }, + { + "epoch": 0.1054676658340272, + "grad_norm": 0.66015625, + "learning_rate": 1.9998363394309497e-05, + "loss": 0.8323, + "mean_token_accuracy": 0.7648534798534798, + "step": 285 + }, + { + "epoch": 0.10731797576093996, + "grad_norm": 0.52734375, + "learning_rate": 1.9996985708738146e-05, + "loss": 0.8243, + "mean_token_accuracy": 0.7656715506715509, + "step": 290 + }, + { + "epoch": 0.10916828568785271, + "grad_norm": 0.58984375, + "learning_rate": 1.999519063762928e-05, + "loss": 0.8986, + "mean_token_accuracy": 0.7459401709401711, + "step": 295 + }, + { + "epoch": 0.11101859561476547, + "grad_norm": 0.5703125, + "learning_rate": 1.9992978255929168e-05, + "loss": 0.9131, + "mean_token_accuracy": 0.7397191697191697, + "step": 300 + }, + { + "epoch": 0.11101859561476547, + "eval_loss": 0.9101393222808838, + "eval_mean_token_accuracy": 0.738495056142115, + "eval_runtime": 26.1023, + "eval_samples_per_second": 4.942, + "eval_steps_per_second": 1.264, + "step": 300 + }, + { + "epoch": 0.11286890554167824, + "grad_norm": 0.578125, + "learning_rate": 1.999034865600726e-05, + "loss": 0.9541, + "mean_token_accuracy": 0.7295726495726494, + "step": 305 + }, + { + "epoch": 0.11471921546859098, + "grad_norm": 0.6484375, + "learning_rate": 1.9987301947652354e-05, + "loss": 0.8719, + "mean_token_accuracy": 0.7503113553113553, + "step": 310 + }, + { + "epoch": 0.11656952539550375, + "grad_norm": 0.58984375, + "learning_rate": 1.998383825806799e-05, + "loss": 0.8776, + "mean_token_accuracy": 0.74996336996337, + "step": 315 + }, + { + "epoch": 0.11841983532241651, + "grad_norm": 0.58203125, + "learning_rate": 1.9979957731867143e-05, + "loss": 0.8599, + "mean_token_accuracy": 0.7538766788766791, + "step": 320 + }, + { + "epoch": 0.12027014524932926, + "grad_norm": 0.56640625, + "learning_rate": 1.9975660531066215e-05, + "loss": 0.9302, + "mean_token_accuracy": 0.7337240537240539, + "step": 325 + }, + { + "epoch": 0.12212045517624202, + "grad_norm": 0.625, + "learning_rate": 1.9970946835078227e-05, + "loss": 0.8618, + "mean_token_accuracy": 0.7546825396825396, + "step": 330 + }, + { + "epoch": 0.12397076510315477, + "grad_norm": 0.56640625, + "learning_rate": 1.9965816840705355e-05, + "loss": 0.8338, + "mean_token_accuracy": 0.7603601953601955, + "step": 335 + }, + { + "epoch": 0.12582107503006754, + "grad_norm": 0.67578125, + "learning_rate": 1.9960270762130705e-05, + "loss": 0.8738, + "mean_token_accuracy": 0.7505334817039826, + "step": 340 + }, + { + "epoch": 0.1276713849569803, + "grad_norm": 0.60546875, + "learning_rate": 1.9954308830909372e-05, + "loss": 0.8405, + "mean_token_accuracy": 0.7583272283272284, + "step": 345 + }, + { + "epoch": 0.12952169488389306, + "grad_norm": 0.5390625, + "learning_rate": 1.9947931295958778e-05, + "loss": 0.8515, + "mean_token_accuracy": 0.7538400488400487, + "step": 350 + }, + { + "epoch": 0.1313720048108058, + "grad_norm": 0.56640625, + "learning_rate": 1.9941138423548266e-05, + "loss": 0.8548, + "mean_token_accuracy": 0.7522832722832723, + "step": 355 + }, + { + "epoch": 0.13322231473771856, + "grad_norm": 0.625, + "learning_rate": 1.9933930497287996e-05, + "loss": 0.8532, + "mean_token_accuracy": 0.7545360195360196, + "step": 360 + }, + { + "epoch": 0.13507262466463132, + "grad_norm": 0.5390625, + "learning_rate": 1.9926307818117098e-05, + "loss": 0.8515, + "mean_token_accuracy": 0.7543589743589741, + "step": 365 + }, + { + "epoch": 0.1369229345915441, + "grad_norm": 0.57421875, + "learning_rate": 1.9918270704291104e-05, + "loss": 0.8371, + "mean_token_accuracy": 0.7585164835164836, + "step": 370 + }, + { + "epoch": 0.13877324451845685, + "grad_norm": 0.55078125, + "learning_rate": 1.9909819491368677e-05, + "loss": 0.7795, + "mean_token_accuracy": 0.7738705738705741, + "step": 375 + }, + { + "epoch": 0.1406235544453696, + "grad_norm": 0.5390625, + "learning_rate": 1.990095453219757e-05, + "loss": 0.8354, + "mean_token_accuracy": 0.7600793650793649, + "step": 380 + }, + { + "epoch": 0.14247386437228235, + "grad_norm": 0.625, + "learning_rate": 1.989167619689993e-05, + "loss": 0.8644, + "mean_token_accuracy": 0.7514835164835164, + "step": 385 + }, + { + "epoch": 0.1443241742991951, + "grad_norm": 0.5625, + "learning_rate": 1.988198487285682e-05, + "loss": 0.9114, + "mean_token_accuracy": 0.7397191697191696, + "step": 390 + }, + { + "epoch": 0.14617448422610788, + "grad_norm": 0.6015625, + "learning_rate": 1.9871880964692055e-05, + "loss": 0.8587, + "mean_token_accuracy": 0.7514285714285714, + "step": 395 + }, + { + "epoch": 0.14802479415302064, + "grad_norm": 0.57421875, + "learning_rate": 1.9861364894255306e-05, + "loss": 0.8299, + "mean_token_accuracy": 0.7600976800976802, + "step": 400 + }, + { + "epoch": 0.14802479415302064, + "eval_loss": 0.8789100050926208, + "eval_mean_token_accuracy": 0.7443620649503006, + "eval_runtime": 26.1347, + "eval_samples_per_second": 4.936, + "eval_steps_per_second": 1.263, + "step": 400 + }, + { + "epoch": 0.1498751040799334, + "grad_norm": 0.6171875, + "learning_rate": 1.985043710060449e-05, + "loss": 0.8761, + "mean_token_accuracy": 0.7473626373626374, + "step": 405 + }, + { + "epoch": 0.15172541400684614, + "grad_norm": 0.61328125, + "learning_rate": 1.9839098039987435e-05, + "loss": 0.827, + "mean_token_accuracy": 0.7622649572649576, + "step": 410 + }, + { + "epoch": 0.1535757239337589, + "grad_norm": 0.55859375, + "learning_rate": 1.9827348185822834e-05, + "loss": 0.8387, + "mean_token_accuracy": 0.7583516483516484, + "step": 415 + }, + { + "epoch": 0.15542603386067166, + "grad_norm": 0.57421875, + "learning_rate": 1.981518802868048e-05, + "loss": 0.8549, + "mean_token_accuracy": 0.7524542124542124, + "step": 420 + }, + { + "epoch": 0.15727634378758443, + "grad_norm": 0.55078125, + "learning_rate": 1.9802618076260784e-05, + "loss": 0.8172, + "mean_token_accuracy": 0.7641880341880342, + "step": 425 + }, + { + "epoch": 0.1591266537144972, + "grad_norm": 0.6015625, + "learning_rate": 1.9789638853373563e-05, + "loss": 0.8304, + "mean_token_accuracy": 0.7597374847374848, + "step": 430 + }, + { + "epoch": 0.16097696364140993, + "grad_norm": 0.59375, + "learning_rate": 1.9776250901916168e-05, + "loss": 0.9115, + "mean_token_accuracy": 0.7372527472527475, + "step": 435 + }, + { + "epoch": 0.1628272735683227, + "grad_norm": 0.57421875, + "learning_rate": 1.9762454780850807e-05, + "loss": 0.8382, + "mean_token_accuracy": 0.7568253968253968, + "step": 440 + }, + { + "epoch": 0.16467758349523545, + "grad_norm": 0.6328125, + "learning_rate": 1.9748251066181247e-05, + "loss": 0.8118, + "mean_token_accuracy": 0.7624908424908425, + "step": 445 + }, + { + "epoch": 0.16652789342214822, + "grad_norm": 0.5859375, + "learning_rate": 1.973364035092875e-05, + "loss": 0.8812, + "mean_token_accuracy": 0.7446703296703295, + "step": 450 + }, + { + "epoch": 0.16837820334906098, + "grad_norm": 0.56640625, + "learning_rate": 1.971862324510732e-05, + "loss": 0.8931, + "mean_token_accuracy": 0.7403174603174604, + "step": 455 + }, + { + "epoch": 0.17022851327597371, + "grad_norm": 0.59375, + "learning_rate": 1.9703200375698223e-05, + "loss": 0.8784, + "mean_token_accuracy": 0.7463064713064713, + "step": 460 + }, + { + "epoch": 0.17207882320288648, + "grad_norm": 0.5390625, + "learning_rate": 1.968737238662382e-05, + "loss": 0.7957, + "mean_token_accuracy": 0.7680525030525034, + "step": 465 + }, + { + "epoch": 0.17392913312979924, + "grad_norm": 0.61328125, + "learning_rate": 1.9671139938720678e-05, + "loss": 0.8147, + "mean_token_accuracy": 0.7610744810744812, + "step": 470 + }, + { + "epoch": 0.175779443056712, + "grad_norm": 0.6015625, + "learning_rate": 1.9654503709711984e-05, + "loss": 0.8562, + "mean_token_accuracy": 0.7506593406593407, + "step": 475 + }, + { + "epoch": 0.17762975298362477, + "grad_norm": 0.58203125, + "learning_rate": 1.963746439417924e-05, + "loss": 0.8001, + "mean_token_accuracy": 0.7670940170940171, + "step": 480 + }, + { + "epoch": 0.1794800629105375, + "grad_norm": 0.5703125, + "learning_rate": 1.962002270353328e-05, + "loss": 0.8008, + "mean_token_accuracy": 0.7670390720390722, + "step": 485 + }, + { + "epoch": 0.18133037283745027, + "grad_norm": 0.5390625, + "learning_rate": 1.960217936598454e-05, + "loss": 0.7907, + "mean_token_accuracy": 0.7678693528693529, + "step": 490 + }, + { + "epoch": 0.18318068276436303, + "grad_norm": 0.53515625, + "learning_rate": 1.958393512651269e-05, + "loss": 0.7641, + "mean_token_accuracy": 0.775854700854701, + "step": 495 + }, + { + "epoch": 0.1850309926912758, + "grad_norm": 0.5703125, + "learning_rate": 1.956529074683551e-05, + "loss": 0.8435, + "mean_token_accuracy": 0.7561477411477411, + "step": 500 + }, + { + "epoch": 0.1850309926912758, + "eval_loss": 0.8611128926277161, + "eval_mean_token_accuracy": 0.7471516500928265, + "eval_runtime": 26.0612, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 500 + }, + { + "epoch": 0.18688130261818856, + "grad_norm": 0.5546875, + "learning_rate": 1.9546247005377065e-05, + "loss": 0.8145, + "mean_token_accuracy": 0.7607081807081808, + "step": 505 + }, + { + "epoch": 0.18873161254510132, + "grad_norm": 0.51953125, + "learning_rate": 1.952680469723526e-05, + "loss": 0.8148, + "mean_token_accuracy": 0.7623504273504274, + "step": 510 + }, + { + "epoch": 0.19058192247201405, + "grad_norm": 0.59375, + "learning_rate": 1.9506964634148597e-05, + "loss": 0.8333, + "mean_token_accuracy": 0.7563797313797316, + "step": 515 + }, + { + "epoch": 0.19243223239892682, + "grad_norm": 0.61328125, + "learning_rate": 1.9486727644462306e-05, + "loss": 0.845, + "mean_token_accuracy": 0.7572832722832723, + "step": 520 + }, + { + "epoch": 0.19428254232583958, + "grad_norm": 0.62109375, + "learning_rate": 1.9466094573093744e-05, + "loss": 0.7821, + "mean_token_accuracy": 0.7752686202686203, + "step": 525 + }, + { + "epoch": 0.19613285225275234, + "grad_norm": 0.578125, + "learning_rate": 1.9445066281497144e-05, + "loss": 0.7933, + "mean_token_accuracy": 0.7684310134310134, + "step": 530 + }, + { + "epoch": 0.1979831621796651, + "grad_norm": 0.57421875, + "learning_rate": 1.9423643647627625e-05, + "loss": 0.842, + "mean_token_accuracy": 0.7544505494505496, + "step": 535 + }, + { + "epoch": 0.19983347210657784, + "grad_norm": 0.54296875, + "learning_rate": 1.940182756590454e-05, + "loss": 0.816, + "mean_token_accuracy": 0.7597557997557999, + "step": 540 + }, + { + "epoch": 0.2016837820334906, + "grad_norm": 0.59765625, + "learning_rate": 1.9379618947174155e-05, + "loss": 0.8157, + "mean_token_accuracy": 0.7635531135531137, + "step": 545 + }, + { + "epoch": 0.20353409196040337, + "grad_norm": 0.6015625, + "learning_rate": 1.935701871867158e-05, + "loss": 0.8061, + "mean_token_accuracy": 0.7631379731379734, + "step": 550 + }, + { + "epoch": 0.20538440188731613, + "grad_norm": 0.5859375, + "learning_rate": 1.9334027823982103e-05, + "loss": 0.806, + "mean_token_accuracy": 0.7636942216942215, + "step": 555 + }, + { + "epoch": 0.2072347118142289, + "grad_norm": 0.5859375, + "learning_rate": 1.9310647223001752e-05, + "loss": 0.8684, + "mean_token_accuracy": 0.7475396825396826, + "step": 560 + }, + { + "epoch": 0.20908502174114163, + "grad_norm": 0.5546875, + "learning_rate": 1.9286877891897244e-05, + "loss": 0.7634, + "mean_token_accuracy": 0.776892551892552, + "step": 565 + }, + { + "epoch": 0.2109353316680544, + "grad_norm": 0.57421875, + "learning_rate": 1.9262720823065217e-05, + "loss": 0.8631, + "mean_token_accuracy": 0.7469902319902321, + "step": 570 + }, + { + "epoch": 0.21278564159496716, + "grad_norm": 0.51171875, + "learning_rate": 1.923817702509081e-05, + "loss": 0.8025, + "mean_token_accuracy": 0.7656715506715509, + "step": 575 + }, + { + "epoch": 0.21463595152187992, + "grad_norm": 0.5625, + "learning_rate": 1.9213247522705532e-05, + "loss": 0.8464, + "mean_token_accuracy": 0.755897435897436, + "step": 580 + }, + { + "epoch": 0.21648626144879268, + "grad_norm": 0.546875, + "learning_rate": 1.9187933356744504e-05, + "loss": 0.8072, + "mean_token_accuracy": 0.7652136752136752, + "step": 585 + }, + { + "epoch": 0.21833657137570542, + "grad_norm": 0.5625, + "learning_rate": 1.9162235584102973e-05, + "loss": 0.8198, + "mean_token_accuracy": 0.76008547008547, + "step": 590 + }, + { + "epoch": 0.22018688130261818, + "grad_norm": 0.56640625, + "learning_rate": 1.9136155277692215e-05, + "loss": 0.8, + "mean_token_accuracy": 0.7653357753357756, + "step": 595 + }, + { + "epoch": 0.22203719122953094, + "grad_norm": 0.56640625, + "learning_rate": 1.9109693526394722e-05, + "loss": 0.8058, + "mean_token_accuracy": 0.7617155067155068, + "step": 600 + }, + { + "epoch": 0.22203719122953094, + "eval_loss": 0.8499741554260254, + "eval_mean_token_accuracy": 0.748883034177152, + "eval_runtime": 26.0615, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 600 + }, + { + "epoch": 0.2238875011564437, + "grad_norm": 0.609375, + "learning_rate": 1.9082851435018743e-05, + "loss": 0.8373, + "mean_token_accuracy": 0.7574297924297924, + "step": 605 + }, + { + "epoch": 0.22573781108335647, + "grad_norm": 0.5078125, + "learning_rate": 1.905563012425216e-05, + "loss": 0.8007, + "mean_token_accuracy": 0.7656776556776557, + "step": 610 + }, + { + "epoch": 0.2275881210102692, + "grad_norm": 0.6015625, + "learning_rate": 1.9028030730615696e-05, + "loss": 0.8416, + "mean_token_accuracy": 0.7550732600732599, + "step": 615 + }, + { + "epoch": 0.22943843093718197, + "grad_norm": 0.5859375, + "learning_rate": 1.9000054406415467e-05, + "loss": 0.8015, + "mean_token_accuracy": 0.766013431013431, + "step": 620 + }, + { + "epoch": 0.23128874086409473, + "grad_norm": 0.54296875, + "learning_rate": 1.897170231969486e-05, + "loss": 0.8184, + "mean_token_accuracy": 0.7606654456654457, + "step": 625 + }, + { + "epoch": 0.2331390507910075, + "grad_norm": 0.5703125, + "learning_rate": 1.8942975654185788e-05, + "loss": 0.8058, + "mean_token_accuracy": 0.7649084249084249, + "step": 630 + }, + { + "epoch": 0.23498936071792026, + "grad_norm": 0.55078125, + "learning_rate": 1.8913875609259246e-05, + "loss": 0.7989, + "mean_token_accuracy": 0.7661050061050061, + "step": 635 + }, + { + "epoch": 0.23683967064483302, + "grad_norm": 0.52734375, + "learning_rate": 1.8884403399875252e-05, + "loss": 0.8244, + "mean_token_accuracy": 0.7579548229548233, + "step": 640 + }, + { + "epoch": 0.23868998057174576, + "grad_norm": 0.5625, + "learning_rate": 1.8854560256532098e-05, + "loss": 0.7568, + "mean_token_accuracy": 0.7783349428349429, + "step": 645 + }, + { + "epoch": 0.24054029049865852, + "grad_norm": 0.53125, + "learning_rate": 1.8824347425215016e-05, + "loss": 0.8446, + "mean_token_accuracy": 0.7513308913308914, + "step": 650 + }, + { + "epoch": 0.24239060042557128, + "grad_norm": 0.546875, + "learning_rate": 1.8793766167344115e-05, + "loss": 0.7974, + "mean_token_accuracy": 0.76482905982906, + "step": 655 + }, + { + "epoch": 0.24424091035248405, + "grad_norm": 0.578125, + "learning_rate": 1.8762817759721735e-05, + "loss": 0.8104, + "mean_token_accuracy": 0.763052503052503, + "step": 660 + }, + { + "epoch": 0.2460912202793968, + "grad_norm": 0.52734375, + "learning_rate": 1.8731503494479132e-05, + "loss": 0.8352, + "mean_token_accuracy": 0.7563858363858367, + "step": 665 + }, + { + "epoch": 0.24794153020630955, + "grad_norm": 0.5, + "learning_rate": 1.869982467902255e-05, + "loss": 0.7835, + "mean_token_accuracy": 0.7682844932844934, + "step": 670 + }, + { + "epoch": 0.2497918401332223, + "grad_norm": 0.54296875, + "learning_rate": 1.8667782635978597e-05, + "loss": 0.8492, + "mean_token_accuracy": 0.7515811965811967, + "step": 675 + }, + { + "epoch": 0.2516421500601351, + "grad_norm": 0.578125, + "learning_rate": 1.8635378703139066e-05, + "loss": 0.7594, + "mean_token_accuracy": 0.773962148962149, + "step": 680 + }, + { + "epoch": 0.25349245998704784, + "grad_norm": 0.5625, + "learning_rate": 1.8602614233405047e-05, + "loss": 0.7986, + "mean_token_accuracy": 0.7644749694749697, + "step": 685 + }, + { + "epoch": 0.2553427699139606, + "grad_norm": 0.5625, + "learning_rate": 1.8569490594730474e-05, + "loss": 0.8123, + "mean_token_accuracy": 0.7603785103785106, + "step": 690 + }, + { + "epoch": 0.25719307984087336, + "grad_norm": 0.5390625, + "learning_rate": 1.853600917006497e-05, + "loss": 0.7566, + "mean_token_accuracy": 0.7762026862026863, + "step": 695 + }, + { + "epoch": 0.2590433897677861, + "grad_norm": 0.53515625, + "learning_rate": 1.8502171357296144e-05, + "loss": 0.7554, + "mean_token_accuracy": 0.7761111111111113, + "step": 700 + }, + { + "epoch": 0.2590433897677861, + "eval_loss": 0.8421046137809753, + "eval_mean_token_accuracy": 0.7501704178174767, + "eval_runtime": 26.0623, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 700 + }, + { + "epoch": 0.2608936996946989, + "grad_norm": 0.57421875, + "learning_rate": 1.8467978569191216e-05, + "loss": 0.815, + "mean_token_accuracy": 0.761892551892552, + "step": 705 + }, + { + "epoch": 0.2627440096216116, + "grad_norm": 0.56640625, + "learning_rate": 1.8433432233338027e-05, + "loss": 0.7738, + "mean_token_accuracy": 0.771825396825397, + "step": 710 + }, + { + "epoch": 0.26459431954852436, + "grad_norm": 0.5703125, + "learning_rate": 1.8398533792085436e-05, + "loss": 0.809, + "mean_token_accuracy": 0.7627655677655678, + "step": 715 + }, + { + "epoch": 0.2664446294754371, + "grad_norm": 0.546875, + "learning_rate": 1.8363284702483106e-05, + "loss": 0.8306, + "mean_token_accuracy": 0.7560866910866911, + "step": 720 + }, + { + "epoch": 0.2682949394023499, + "grad_norm": 0.53515625, + "learning_rate": 1.832768643622067e-05, + "loss": 0.781, + "mean_token_accuracy": 0.7721184371184371, + "step": 725 + }, + { + "epoch": 0.27014524932926265, + "grad_norm": 0.546875, + "learning_rate": 1.8291740479566286e-05, + "loss": 0.7894, + "mean_token_accuracy": 0.7696764346764348, + "step": 730 + }, + { + "epoch": 0.2719955592561754, + "grad_norm": 0.609375, + "learning_rate": 1.825544833330457e-05, + "loss": 0.8008, + "mean_token_accuracy": 0.7653052503052502, + "step": 735 + }, + { + "epoch": 0.2738458691830882, + "grad_norm": 0.59765625, + "learning_rate": 1.8218811512673958e-05, + "loss": 0.8425, + "mean_token_accuracy": 0.7535836385836385, + "step": 740 + }, + { + "epoch": 0.27569617911000094, + "grad_norm": 0.52734375, + "learning_rate": 1.818183154730344e-05, + "loss": 0.807, + "mean_token_accuracy": 0.7621001221001222, + "step": 745 + }, + { + "epoch": 0.2775464890369137, + "grad_norm": 0.5078125, + "learning_rate": 1.8144509981148675e-05, + "loss": 0.7947, + "mean_token_accuracy": 0.7661050061050061, + "step": 750 + }, + { + "epoch": 0.27939679896382646, + "grad_norm": 0.60546875, + "learning_rate": 1.810684837242755e-05, + "loss": 0.8104, + "mean_token_accuracy": 0.7608913308913309, + "step": 755 + }, + { + "epoch": 0.2812471088907392, + "grad_norm": 0.5859375, + "learning_rate": 1.8068848293555118e-05, + "loss": 0.818, + "mean_token_accuracy": 0.7603174603174605, + "step": 760 + }, + { + "epoch": 0.28309741881765194, + "grad_norm": 0.53515625, + "learning_rate": 1.8030511331077945e-05, + "loss": 0.8027, + "mean_token_accuracy": 0.7637545787545791, + "step": 765 + }, + { + "epoch": 0.2849477287445647, + "grad_norm": 0.5859375, + "learning_rate": 1.799183908560787e-05, + "loss": 0.8525, + "mean_token_accuracy": 0.7526862026862027, + "step": 770 + }, + { + "epoch": 0.28679803867147746, + "grad_norm": 0.5390625, + "learning_rate": 1.795283317175518e-05, + "loss": 0.7676, + "mean_token_accuracy": 0.7719352869352871, + "step": 775 + }, + { + "epoch": 0.2886483485983902, + "grad_norm": 0.58984375, + "learning_rate": 1.7913495218061202e-05, + "loss": 0.8034, + "mean_token_accuracy": 0.7633028083028084, + "step": 780 + }, + { + "epoch": 0.290498658525303, + "grad_norm": 0.55859375, + "learning_rate": 1.787382686693029e-05, + "loss": 0.7901, + "mean_token_accuracy": 0.766959706959707, + "step": 785 + }, + { + "epoch": 0.29234896845221575, + "grad_norm": 0.578125, + "learning_rate": 1.783382977456128e-05, + "loss": 0.7746, + "mean_token_accuracy": 0.7709951159951162, + "step": 790 + }, + { + "epoch": 0.2941992783791285, + "grad_norm": 0.58203125, + "learning_rate": 1.779350561087833e-05, + "loss": 0.839, + "mean_token_accuracy": 0.7553418803418805, + "step": 795 + }, + { + "epoch": 0.2960495883060413, + "grad_norm": 0.58203125, + "learning_rate": 1.775285605946119e-05, + "loss": 0.765, + "mean_token_accuracy": 0.7733821733821735, + "step": 800 + }, + { + "epoch": 0.2960495883060413, + "eval_loss": 0.8361122012138367, + "eval_mean_token_accuracy": 0.751261918908978, + "eval_runtime": 26.0689, + "eval_samples_per_second": 4.948, + "eval_steps_per_second": 1.266, + "step": 800 + }, + { + "epoch": 0.29789989823295404, + "grad_norm": 0.5390625, + "learning_rate": 1.7711882817474922e-05, + "loss": 0.7761, + "mean_token_accuracy": 0.7701587301587305, + "step": 805 + }, + { + "epoch": 0.2997502081598668, + "grad_norm": 0.5703125, + "learning_rate": 1.7670587595599034e-05, + "loss": 0.7763, + "mean_token_accuracy": 0.7681318681318681, + "step": 810 + }, + { + "epoch": 0.3016005180867795, + "grad_norm": 0.5859375, + "learning_rate": 1.762897211795607e-05, + "loss": 0.8317, + "mean_token_accuracy": 0.7544749694749694, + "step": 815 + }, + { + "epoch": 0.3034508280136923, + "grad_norm": 0.55078125, + "learning_rate": 1.758703812203961e-05, + "loss": 0.8387, + "mean_token_accuracy": 0.7542368742368742, + "step": 820 + }, + { + "epoch": 0.30530113794060504, + "grad_norm": 0.59375, + "learning_rate": 1.7544787358641735e-05, + "loss": 0.881, + "mean_token_accuracy": 0.7437851037851038, + "step": 825 + }, + { + "epoch": 0.3071514478675178, + "grad_norm": 0.6328125, + "learning_rate": 1.7502221591779932e-05, + "loss": 0.8617, + "mean_token_accuracy": 0.7450671550671552, + "step": 830 + }, + { + "epoch": 0.30900175779443056, + "grad_norm": 0.53515625, + "learning_rate": 1.7459342598623438e-05, + "loss": 0.8028, + "mean_token_accuracy": 0.7642246642246643, + "step": 835 + }, + { + "epoch": 0.31085206772134333, + "grad_norm": 0.55859375, + "learning_rate": 1.741615216941905e-05, + "loss": 0.7574, + "mean_token_accuracy": 0.7761538461538462, + "step": 840 + }, + { + "epoch": 0.3127023776482561, + "grad_norm": 0.55078125, + "learning_rate": 1.7372652107416364e-05, + "loss": 0.8197, + "mean_token_accuracy": 0.7589438339438341, + "step": 845 + }, + { + "epoch": 0.31455268757516885, + "grad_norm": 0.55859375, + "learning_rate": 1.7328844228792513e-05, + "loss": 0.7363, + "mean_token_accuracy": 0.7819719169719171, + "step": 850 + }, + { + "epoch": 0.3164029975020816, + "grad_norm": 0.55859375, + "learning_rate": 1.7284730362576308e-05, + "loss": 0.8083, + "mean_token_accuracy": 0.7616605616605618, + "step": 855 + }, + { + "epoch": 0.3182533074289944, + "grad_norm": 0.671875, + "learning_rate": 1.7240312350571905e-05, + "loss": 0.7911, + "mean_token_accuracy": 0.7681623931623932, + "step": 860 + }, + { + "epoch": 0.3201036173559071, + "grad_norm": 0.5546875, + "learning_rate": 1.719559204728188e-05, + "loss": 0.7567, + "mean_token_accuracy": 0.7757326007326008, + "step": 865 + }, + { + "epoch": 0.32195392728281985, + "grad_norm": 0.578125, + "learning_rate": 1.715057131982983e-05, + "loss": 0.8, + "mean_token_accuracy": 0.7663308913308913, + "step": 870 + }, + { + "epoch": 0.3238042372097326, + "grad_norm": 0.61328125, + "learning_rate": 1.710525204788239e-05, + "loss": 0.764, + "mean_token_accuracy": 0.772820512820513, + "step": 875 + }, + { + "epoch": 0.3256545471366454, + "grad_norm": 0.54296875, + "learning_rate": 1.7059636123570767e-05, + "loss": 0.8007, + "mean_token_accuracy": 0.7663186813186816, + "step": 880 + }, + { + "epoch": 0.32750485706355814, + "grad_norm": 0.5, + "learning_rate": 1.7013725451411757e-05, + "loss": 0.7417, + "mean_token_accuracy": 0.7798351648351649, + "step": 885 + }, + { + "epoch": 0.3293551669904709, + "grad_norm": 0.53125, + "learning_rate": 1.696752194822819e-05, + "loss": 0.7639, + "mean_token_accuracy": 0.777094017094017, + "step": 890 + }, + { + "epoch": 0.33120547691738367, + "grad_norm": 0.53125, + "learning_rate": 1.692102754306895e-05, + "loss": 0.7544, + "mean_token_accuracy": 0.776776556776557, + "step": 895 + }, + { + "epoch": 0.33305578684429643, + "grad_norm": 0.53125, + "learning_rate": 1.6874244177128395e-05, + "loss": 0.768, + "mean_token_accuracy": 0.7750244200244201, + "step": 900 + }, + { + "epoch": 0.33305578684429643, + "eval_loss": 0.8318906426429749, + "eval_mean_token_accuracy": 0.7520444696915287, + "eval_runtime": 26.064, + "eval_samples_per_second": 4.949, + "eval_steps_per_second": 1.266, + "step": 900 + }, + { + "epoch": 0.3349060967712092, + "grad_norm": 0.55859375, + "learning_rate": 1.6827173803665328e-05, + "loss": 0.8461, + "mean_token_accuracy": 0.7512515262515264, + "step": 905 + }, + { + "epoch": 0.33675640669812196, + "grad_norm": 0.55859375, + "learning_rate": 1.677981838792144e-05, + "loss": 0.8129, + "mean_token_accuracy": 0.7606288156288159, + "step": 910 + }, + { + "epoch": 0.3386067166250347, + "grad_norm": 0.57421875, + "learning_rate": 1.6732179907039266e-05, + "loss": 0.7857, + "mean_token_accuracy": 0.7670573870573871, + "step": 915 + }, + { + "epoch": 0.34045702655194743, + "grad_norm": 0.5625, + "learning_rate": 1.6684260349979637e-05, + "loss": 0.8006, + "mean_token_accuracy": 0.7629975579975581, + "step": 920 + }, + { + "epoch": 0.3423073364788602, + "grad_norm": 0.546875, + "learning_rate": 1.6636061717438626e-05, + "loss": 0.7465, + "mean_token_accuracy": 0.7773809523809525, + "step": 925 + }, + { + "epoch": 0.34415764640577295, + "grad_norm": 0.5, + "learning_rate": 1.6587586021764022e-05, + "loss": 0.7637, + "mean_token_accuracy": 0.7725213675213676, + "step": 930 + }, + { + "epoch": 0.3460079563326857, + "grad_norm": 0.56640625, + "learning_rate": 1.653883528687133e-05, + "loss": 0.7932, + "mean_token_accuracy": 0.7646034264796542, + "step": 935 + }, + { + "epoch": 0.3478582662595985, + "grad_norm": 0.546875, + "learning_rate": 1.6489811548159245e-05, + "loss": 0.8083, + "mean_token_accuracy": 0.7603724053724055, + "step": 940 + }, + { + "epoch": 0.34970857618651124, + "grad_norm": 0.51953125, + "learning_rate": 1.6440516852424678e-05, + "loss": 0.8193, + "mean_token_accuracy": 0.7595970695970699, + "step": 945 + }, + { + "epoch": 0.351558886113424, + "grad_norm": 0.50390625, + "learning_rate": 1.6390953257777324e-05, + "loss": 0.767, + "mean_token_accuracy": 0.7724481074481077, + "step": 950 + }, + { + "epoch": 0.35340919604033677, + "grad_norm": 0.55859375, + "learning_rate": 1.634112283355369e-05, + "loss": 0.8085, + "mean_token_accuracy": 0.7595360195360195, + "step": 955 + }, + { + "epoch": 0.35525950596724953, + "grad_norm": 0.5625, + "learning_rate": 1.6291027660230735e-05, + "loss": 0.7847, + "mean_token_accuracy": 0.7684065934065933, + "step": 960 + }, + { + "epoch": 0.3571098158941623, + "grad_norm": 0.54296875, + "learning_rate": 1.6240669829338992e-05, + "loss": 0.8359, + "mean_token_accuracy": 0.7520329670329668, + "step": 965 + }, + { + "epoch": 0.358960125821075, + "grad_norm": 0.51953125, + "learning_rate": 1.6190051443375248e-05, + "loss": 0.7892, + "mean_token_accuracy": 0.767936507936508, + "step": 970 + }, + { + "epoch": 0.36081043574798777, + "grad_norm": 0.5859375, + "learning_rate": 1.6139174615714753e-05, + "loss": 0.8017, + "mean_token_accuracy": 0.7666666666666666, + "step": 975 + }, + { + "epoch": 0.36266074567490053, + "grad_norm": 0.5703125, + "learning_rate": 1.6088041470523005e-05, + "loss": 0.8326, + "mean_token_accuracy": 0.7542124542124545, + "step": 980 + }, + { + "epoch": 0.3645110556018133, + "grad_norm": 0.54296875, + "learning_rate": 1.6036654142667043e-05, + "loss": 0.8207, + "mean_token_accuracy": 0.7569352869352872, + "step": 985 + }, + { + "epoch": 0.36636136552872606, + "grad_norm": 0.53125, + "learning_rate": 1.598501477762632e-05, + "loss": 0.8088, + "mean_token_accuracy": 0.7615811965811966, + "step": 990 + }, + { + "epoch": 0.3682116754556388, + "grad_norm": 0.59375, + "learning_rate": 1.5933125531403135e-05, + "loss": 0.8056, + "mean_token_accuracy": 0.7620688113148681, + "step": 995 + }, + { + "epoch": 0.3700619853825516, + "grad_norm": 0.5546875, + "learning_rate": 1.5880988570432603e-05, + "loss": 0.7489, + "mean_token_accuracy": 0.7761599511599513, + "step": 1000 + }, + { + "epoch": 0.3700619853825516, + "eval_loss": 0.828413724899292, + "eval_mean_token_accuracy": 0.7527104703575295, + "eval_runtime": 26.0583, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 1000 + }, + { + "epoch": 0.37191229530946435, + "grad_norm": 0.60546875, + "learning_rate": 1.582860607149222e-05, + "loss": 0.7882, + "mean_token_accuracy": 0.7645482295482294, + "step": 1005 + }, + { + "epoch": 0.3737626052363771, + "grad_norm": 0.5546875, + "learning_rate": 1.5775980221610966e-05, + "loss": 0.8099, + "mean_token_accuracy": 0.7611477411477412, + "step": 1010 + }, + { + "epoch": 0.3756129151632899, + "grad_norm": 0.55078125, + "learning_rate": 1.5723113217978e-05, + "loss": 0.7989, + "mean_token_accuracy": 0.7649633699633701, + "step": 1015 + }, + { + "epoch": 0.37746322509020264, + "grad_norm": 0.55859375, + "learning_rate": 1.567000726785093e-05, + "loss": 0.7529, + "mean_token_accuracy": 0.7761538461538462, + "step": 1020 + }, + { + "epoch": 0.37931353501711534, + "grad_norm": 0.546875, + "learning_rate": 1.561666458846365e-05, + "loss": 0.845, + "mean_token_accuracy": 0.7515079365079365, + "step": 1025 + }, + { + "epoch": 0.3811638449440281, + "grad_norm": 0.54296875, + "learning_rate": 1.5563087406933762e-05, + "loss": 0.8284, + "mean_token_accuracy": 0.7579242979242979, + "step": 1030 + }, + { + "epoch": 0.38301415487094087, + "grad_norm": 0.546875, + "learning_rate": 1.550927796016961e-05, + "loss": 0.7804, + "mean_token_accuracy": 0.7690903540903541, + "step": 1035 + }, + { + "epoch": 0.38486446479785363, + "grad_norm": 0.5546875, + "learning_rate": 1.5455238494776876e-05, + "loss": 0.8273, + "mean_token_accuracy": 0.756892551892552, + "step": 1040 + }, + { + "epoch": 0.3867147747247664, + "grad_norm": 0.5390625, + "learning_rate": 1.5400971266964772e-05, + "loss": 0.7594, + "mean_token_accuracy": 0.7756166056166058, + "step": 1045 + }, + { + "epoch": 0.38856508465167916, + "grad_norm": 0.52734375, + "learning_rate": 1.5346478542451862e-05, + "loss": 0.8078, + "mean_token_accuracy": 0.7607142857142858, + "step": 1050 + }, + { + "epoch": 0.3904153945785919, + "grad_norm": 0.55859375, + "learning_rate": 1.529176259637145e-05, + "loss": 0.806, + "mean_token_accuracy": 0.7628693528693529, + "step": 1055 + }, + { + "epoch": 0.3922657045055047, + "grad_norm": 0.55078125, + "learning_rate": 1.5236825713176584e-05, + "loss": 0.8176, + "mean_token_accuracy": 0.757783882783883, + "step": 1060 + }, + { + "epoch": 0.39411601443241745, + "grad_norm": 0.56640625, + "learning_rate": 1.5181670186544706e-05, + "loss": 0.8239, + "mean_token_accuracy": 0.7577289377289377, + "step": 1065 + }, + { + "epoch": 0.3959663243593302, + "grad_norm": 0.53125, + "learning_rate": 1.5126298319281859e-05, + "loss": 0.7494, + "mean_token_accuracy": 0.7797496947496951, + "step": 1070 + }, + { + "epoch": 0.3978166342862429, + "grad_norm": 0.5625, + "learning_rate": 1.5070712423226552e-05, + "loss": 0.7778, + "mean_token_accuracy": 0.7717277167277167, + "step": 1075 + }, + { + "epoch": 0.3996669442131557, + "grad_norm": 0.53515625, + "learning_rate": 1.5014914819153252e-05, + "loss": 0.8276, + "mean_token_accuracy": 0.7555494505494504, + "step": 1080 + }, + { + "epoch": 0.40151725414006845, + "grad_norm": 0.53515625, + "learning_rate": 1.4958907836675467e-05, + "loss": 0.8009, + "mean_token_accuracy": 0.7621550671550672, + "step": 1085 + }, + { + "epoch": 0.4033675640669812, + "grad_norm": 0.546875, + "learning_rate": 1.490269381414849e-05, + "loss": 0.7902, + "mean_token_accuracy": 0.7648168498168497, + "step": 1090 + }, + { + "epoch": 0.405217873993894, + "grad_norm": 0.52734375, + "learning_rate": 1.484627509857178e-05, + "loss": 0.7866, + "mean_token_accuracy": 0.766733821733822, + "step": 1095 + }, + { + "epoch": 0.40706818392080674, + "grad_norm": 0.58203125, + "learning_rate": 1.4789654045490957e-05, + "loss": 0.7597, + "mean_token_accuracy": 0.7731868131868133, + "step": 1100 + }, + { + "epoch": 0.40706818392080674, + "eval_loss": 0.8258881568908691, + "eval_mean_token_accuracy": 0.7535510241392596, + "eval_runtime": 26.0571, + "eval_samples_per_second": 4.951, + "eval_steps_per_second": 1.266, + "step": 1100 + }, + { + "epoch": 0.4089184938477195, + "grad_norm": 0.5859375, + "learning_rate": 1.4732833018899468e-05, + "loss": 0.8224, + "mean_token_accuracy": 0.7595115995115995, + "step": 1105 + }, + { + "epoch": 0.41076880377463226, + "grad_norm": 0.5390625, + "learning_rate": 1.4675814391139875e-05, + "loss": 0.804, + "mean_token_accuracy": 0.761831501831502, + "step": 1110 + }, + { + "epoch": 0.412619113701545, + "grad_norm": 0.58984375, + "learning_rate": 1.4618600542804819e-05, + "loss": 0.8687, + "mean_token_accuracy": 0.7440781440781439, + "step": 1115 + }, + { + "epoch": 0.4144694236284578, + "grad_norm": 0.54296875, + "learning_rate": 1.4561193862637621e-05, + "loss": 0.7881, + "mean_token_accuracy": 0.7670146520146519, + "step": 1120 + }, + { + "epoch": 0.4163197335553705, + "grad_norm": 0.53515625, + "learning_rate": 1.4503596747432554e-05, + "loss": 0.7877, + "mean_token_accuracy": 0.7656837606837607, + "step": 1125 + }, + { + "epoch": 0.41817004348228326, + "grad_norm": 0.51953125, + "learning_rate": 1.4445811601934763e-05, + "loss": 0.776, + "mean_token_accuracy": 0.7679548229548232, + "step": 1130 + }, + { + "epoch": 0.420020353409196, + "grad_norm": 0.578125, + "learning_rate": 1.4387840838739875e-05, + "loss": 0.8228, + "mean_token_accuracy": 0.7587057387057388, + "step": 1135 + }, + { + "epoch": 0.4218706633361088, + "grad_norm": 0.59375, + "learning_rate": 1.4329686878193271e-05, + "loss": 0.8089, + "mean_token_accuracy": 0.758992673992674, + "step": 1140 + }, + { + "epoch": 0.42372097326302155, + "grad_norm": 0.52734375, + "learning_rate": 1.4271352148289025e-05, + "loss": 0.7588, + "mean_token_accuracy": 0.7771428571428574, + "step": 1145 + }, + { + "epoch": 0.4255712831899343, + "grad_norm": 0.5390625, + "learning_rate": 1.421283908456854e-05, + "loss": 0.7389, + "mean_token_accuracy": 0.7806227106227108, + "step": 1150 + }, + { + "epoch": 0.4274215931168471, + "grad_norm": 0.50390625, + "learning_rate": 1.4154150130018867e-05, + "loss": 0.7544, + "mean_token_accuracy": 0.7760378510378512, + "step": 1155 + }, + { + "epoch": 0.42927190304375984, + "grad_norm": 0.58203125, + "learning_rate": 1.4095287734970678e-05, + "loss": 0.78, + "mean_token_accuracy": 0.7688949938949939, + "step": 1160 + }, + { + "epoch": 0.4311222129706726, + "grad_norm": 0.56640625, + "learning_rate": 1.4036254356996004e-05, + "loss": 0.8118, + "mean_token_accuracy": 0.7598107448107447, + "step": 1165 + }, + { + "epoch": 0.43297252289758537, + "grad_norm": 0.5390625, + "learning_rate": 1.3977052460805597e-05, + "loss": 0.7781, + "mean_token_accuracy": 0.7703785103785107, + "step": 1170 + }, + { + "epoch": 0.43482283282449813, + "grad_norm": 0.5703125, + "learning_rate": 1.3917684518146044e-05, + "loss": 0.78, + "mean_token_accuracy": 0.7676862026862029, + "step": 1175 + }, + { + "epoch": 0.43667314275141084, + "grad_norm": 0.578125, + "learning_rate": 1.3858153007696552e-05, + "loss": 0.788, + "mean_token_accuracy": 0.7661782661782661, + "step": 1180 + }, + { + "epoch": 0.4385234526783236, + "grad_norm": 0.5546875, + "learning_rate": 1.3798460414965475e-05, + "loss": 0.7445, + "mean_token_accuracy": 0.7786141636141636, + "step": 1185 + }, + { + "epoch": 0.44037376260523636, + "grad_norm": 0.5859375, + "learning_rate": 1.3738609232186537e-05, + "loss": 0.8349, + "mean_token_accuracy": 0.7525091575091576, + "step": 1190 + }, + { + "epoch": 0.4422240725321491, + "grad_norm": 0.50390625, + "learning_rate": 1.3678601958214779e-05, + "loss": 0.7486, + "mean_token_accuracy": 0.7754212454212456, + "step": 1195 + }, + { + "epoch": 0.4440743824590619, + "grad_norm": 0.5234375, + "learning_rate": 1.3618441098422215e-05, + "loss": 0.7466, + "mean_token_accuracy": 0.7784615384615386, + "step": 1200 + }, + { + "epoch": 0.4440743824590619, + "eval_loss": 0.8240311145782471, + "eval_mean_token_accuracy": 0.7536634389575568, + "eval_runtime": 26.0628, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 1200 + }, + { + "epoch": 0.44592469238597465, + "grad_norm": 0.5625, + "learning_rate": 1.3558129164593256e-05, + "loss": 0.8022, + "mean_token_accuracy": 0.7632234432234433, + "step": 1205 + }, + { + "epoch": 0.4477750023128874, + "grad_norm": 0.54296875, + "learning_rate": 1.349766867481982e-05, + "loss": 0.8113, + "mean_token_accuracy": 0.7599938949938951, + "step": 1210 + }, + { + "epoch": 0.4496253122398002, + "grad_norm": 0.58984375, + "learning_rate": 1.3437062153396201e-05, + "loss": 0.8284, + "mean_token_accuracy": 0.7551892551892552, + "step": 1215 + }, + { + "epoch": 0.45147562216671294, + "grad_norm": 0.5703125, + "learning_rate": 1.337631213071369e-05, + "loss": 0.8252, + "mean_token_accuracy": 0.7550122100122101, + "step": 1220 + }, + { + "epoch": 0.4533259320936257, + "grad_norm": 0.546875, + "learning_rate": 1.331542114315491e-05, + "loss": 0.7816, + "mean_token_accuracy": 0.7709096459096458, + "step": 1225 + }, + { + "epoch": 0.4551762420205384, + "grad_norm": 0.53515625, + "learning_rate": 1.325439173298793e-05, + "loss": 0.7404, + "mean_token_accuracy": 0.7791269841269844, + "step": 1230 + }, + { + "epoch": 0.4570265519474512, + "grad_norm": 0.5859375, + "learning_rate": 1.3193226448260128e-05, + "loss": 0.8103, + "mean_token_accuracy": 0.7608852258852259, + "step": 1235 + }, + { + "epoch": 0.45887686187436394, + "grad_norm": 0.53125, + "learning_rate": 1.3131927842691793e-05, + "loss": 0.8181, + "mean_token_accuracy": 0.7588034188034188, + "step": 1240 + }, + { + "epoch": 0.4607271718012767, + "grad_norm": 0.5703125, + "learning_rate": 1.3070498475569507e-05, + "loss": 0.8619, + "mean_token_accuracy": 0.7451221001221, + "step": 1245 + }, + { + "epoch": 0.46257748172818947, + "grad_norm": 0.60546875, + "learning_rate": 1.3008940911639302e-05, + "loss": 0.82, + "mean_token_accuracy": 0.7582295482295478, + "step": 1250 + }, + { + "epoch": 0.46442779165510223, + "grad_norm": 0.52734375, + "learning_rate": 1.2947257720999577e-05, + "loss": 0.7679, + "mean_token_accuracy": 0.769072039072039, + "step": 1255 + }, + { + "epoch": 0.466278101582015, + "grad_norm": 0.56640625, + "learning_rate": 1.2885451478993777e-05, + "loss": 0.8327, + "mean_token_accuracy": 0.7543284493284494, + "step": 1260 + }, + { + "epoch": 0.46812841150892776, + "grad_norm": 0.5625, + "learning_rate": 1.282352476610289e-05, + "loss": 0.8023, + "mean_token_accuracy": 0.7643589743589744, + "step": 1265 + }, + { + "epoch": 0.4699787214358405, + "grad_norm": 0.515625, + "learning_rate": 1.2761480167837705e-05, + "loss": 0.7547, + "mean_token_accuracy": 0.778888888888889, + "step": 1270 + }, + { + "epoch": 0.4718290313627533, + "grad_norm": 0.5703125, + "learning_rate": 1.2699320274630847e-05, + "loss": 0.7727, + "mean_token_accuracy": 0.7712576312576314, + "step": 1275 + }, + { + "epoch": 0.47367934128966604, + "grad_norm": 0.52734375, + "learning_rate": 1.263704768172864e-05, + "loss": 0.8439, + "mean_token_accuracy": 0.7506593406593408, + "step": 1280 + }, + { + "epoch": 0.47552965121657875, + "grad_norm": 0.55859375, + "learning_rate": 1.257466498908276e-05, + "loss": 0.7718, + "mean_token_accuracy": 0.7702136752136753, + "step": 1285 + }, + { + "epoch": 0.4773799611434915, + "grad_norm": 0.58984375, + "learning_rate": 1.2512174801241657e-05, + "loss": 0.7446, + "mean_token_accuracy": 0.7791147741147741, + "step": 1290 + }, + { + "epoch": 0.4792302710704043, + "grad_norm": 0.51171875, + "learning_rate": 1.2449579727241834e-05, + "loss": 0.7829, + "mean_token_accuracy": 0.7663675213675214, + "step": 1295 + }, + { + "epoch": 0.48108058099731704, + "grad_norm": 0.57421875, + "learning_rate": 1.2386882380498918e-05, + "loss": 0.7929, + "mean_token_accuracy": 0.7648290598290599, + "step": 1300 + }, + { + "epoch": 0.48108058099731704, + "eval_loss": 0.822527289390564, + "eval_mean_token_accuracy": 0.7542538071949837, + "eval_runtime": 26.0765, + "eval_samples_per_second": 4.947, + "eval_steps_per_second": 1.266, + "step": 1300 + }, + { + "epoch": 0.4829308909242298, + "grad_norm": 0.51171875, + "learning_rate": 1.2324085378698529e-05, + "loss": 0.7185, + "mean_token_accuracy": 0.7862759462759464, + "step": 1305 + }, + { + "epoch": 0.48478120085114257, + "grad_norm": 0.5703125, + "learning_rate": 1.2261191343687e-05, + "loss": 0.7916, + "mean_token_accuracy": 0.7664346764346766, + "step": 1310 + }, + { + "epoch": 0.48663151077805533, + "grad_norm": 0.53125, + "learning_rate": 1.219820290136192e-05, + "loss": 0.7397, + "mean_token_accuracy": 0.7816849816849819, + "step": 1315 + }, + { + "epoch": 0.4884818207049681, + "grad_norm": 0.578125, + "learning_rate": 1.2135122681562481e-05, + "loss": 0.8033, + "mean_token_accuracy": 0.7621489621489622, + "step": 1320 + }, + { + "epoch": 0.49033213063188086, + "grad_norm": 0.5390625, + "learning_rate": 1.2071953317959692e-05, + "loss": 0.7802, + "mean_token_accuracy": 0.7701564101474896, + "step": 1325 + }, + { + "epoch": 0.4921824405587936, + "grad_norm": 0.515625, + "learning_rate": 1.2008697447946421e-05, + "loss": 0.783, + "mean_token_accuracy": 0.767771672771673, + "step": 1330 + }, + { + "epoch": 0.49403275048570633, + "grad_norm": 0.55859375, + "learning_rate": 1.1945357712527273e-05, + "loss": 0.7854, + "mean_token_accuracy": 0.7664041514041514, + "step": 1335 + }, + { + "epoch": 0.4958830604126191, + "grad_norm": 0.5703125, + "learning_rate": 1.1881936756208329e-05, + "loss": 0.7871, + "mean_token_accuracy": 0.7693589743589744, + "step": 1340 + }, + { + "epoch": 0.49773337033953186, + "grad_norm": 0.57421875, + "learning_rate": 1.1818437226886738e-05, + "loss": 0.7727, + "mean_token_accuracy": 0.7710500610500611, + "step": 1345 + }, + { + "epoch": 0.4995836802664446, + "grad_norm": 0.5546875, + "learning_rate": 1.1754861775740163e-05, + "loss": 0.7824, + "mean_token_accuracy": 0.7686996336996337, + "step": 1350 + }, + { + "epoch": 0.5014339901933574, + "grad_norm": 0.5546875, + "learning_rate": 1.1691213057116082e-05, + "loss": 0.7581, + "mean_token_accuracy": 0.774822954822955, + "step": 1355 + }, + { + "epoch": 0.5032843001202701, + "grad_norm": 0.5546875, + "learning_rate": 1.1627493728420978e-05, + "loss": 0.7875, + "mean_token_accuracy": 0.768925518925519, + "step": 1360 + }, + { + "epoch": 0.5051346100471829, + "grad_norm": 0.53515625, + "learning_rate": 1.1563706450009391e-05, + "loss": 0.7946, + "mean_token_accuracy": 0.766837606837607, + "step": 1365 + }, + { + "epoch": 0.5069849199740957, + "grad_norm": 0.5625, + "learning_rate": 1.1499853885072827e-05, + "loss": 0.7333, + "mean_token_accuracy": 0.782954822954823, + "step": 1370 + }, + { + "epoch": 0.5088352299010084, + "grad_norm": 0.57421875, + "learning_rate": 1.1435938699528586e-05, + "loss": 0.85, + "mean_token_accuracy": 0.7502014652014654, + "step": 1375 + }, + { + "epoch": 0.5106855398279212, + "grad_norm": 0.53125, + "learning_rate": 1.137196356190845e-05, + "loss": 0.8028, + "mean_token_accuracy": 0.7618437118437119, + "step": 1380 + }, + { + "epoch": 0.5125358497548339, + "grad_norm": 0.58203125, + "learning_rate": 1.1307931143247268e-05, + "loss": 0.7895, + "mean_token_accuracy": 0.765152625152625, + "step": 1385 + }, + { + "epoch": 0.5143861596817467, + "grad_norm": 0.53125, + "learning_rate": 1.1243844116971433e-05, + "loss": 0.784, + "mean_token_accuracy": 0.7689743589743591, + "step": 1390 + }, + { + "epoch": 0.5162364696086594, + "grad_norm": 0.54296875, + "learning_rate": 1.1179705158787276e-05, + "loss": 0.8092, + "mean_token_accuracy": 0.759847374847375, + "step": 1395 + }, + { + "epoch": 0.5180867795355723, + "grad_norm": 0.6015625, + "learning_rate": 1.1115516946569333e-05, + "loss": 0.7743, + "mean_token_accuracy": 0.7708180708180707, + "step": 1400 + }, + { + "epoch": 0.5180867795355723, + "eval_loss": 0.8213639259338379, + "eval_mean_token_accuracy": 0.754418457359634, + "eval_runtime": 26.074, + "eval_samples_per_second": 4.947, + "eval_steps_per_second": 1.266, + "step": 1400 + }, + { + "epoch": 0.519937089462485, + "grad_norm": 0.5625, + "learning_rate": 1.105128216024857e-05, + "loss": 0.7609, + "mean_token_accuracy": 0.7747985347985349, + "step": 1405 + }, + { + "epoch": 0.5217873993893978, + "grad_norm": 0.5390625, + "learning_rate": 1.0987003481700456e-05, + "loss": 0.7655, + "mean_token_accuracy": 0.7745360195360197, + "step": 1410 + }, + { + "epoch": 0.5236377093163105, + "grad_norm": 0.578125, + "learning_rate": 1.092268359463302e-05, + "loss": 0.7447, + "mean_token_accuracy": 0.7784698510154332, + "step": 1415 + }, + { + "epoch": 0.5254880192432232, + "grad_norm": 0.58984375, + "learning_rate": 1.0858325184474796e-05, + "loss": 0.7774, + "mean_token_accuracy": 0.7705372405372406, + "step": 1420 + }, + { + "epoch": 0.527338329170136, + "grad_norm": 0.53125, + "learning_rate": 1.0793930938262689e-05, + "loss": 0.8122, + "mean_token_accuracy": 0.7594444444444445, + "step": 1425 + }, + { + "epoch": 0.5291886390970487, + "grad_norm": 0.55078125, + "learning_rate": 1.0729503544529814e-05, + "loss": 0.773, + "mean_token_accuracy": 0.7697496947496948, + "step": 1430 + }, + { + "epoch": 0.5310389490239615, + "grad_norm": 0.53515625, + "learning_rate": 1.0665045693193226e-05, + "loss": 0.7922, + "mean_token_accuracy": 0.7678449328449327, + "step": 1435 + }, + { + "epoch": 0.5328892589508742, + "grad_norm": 0.47265625, + "learning_rate": 1.0600560075441617e-05, + "loss": 0.7439, + "mean_token_accuracy": 0.7811233211233213, + "step": 1440 + }, + { + "epoch": 0.5347395688777871, + "grad_norm": 0.5625, + "learning_rate": 1.0536049383622966e-05, + "loss": 0.8202, + "mean_token_accuracy": 0.7574175824175824, + "step": 1445 + }, + { + "epoch": 0.5365898788046998, + "grad_norm": 0.53125, + "learning_rate": 1.047151631113212e-05, + "loss": 0.762, + "mean_token_accuracy": 0.7733272283272286, + "step": 1450 + }, + { + "epoch": 0.5384401887316126, + "grad_norm": 0.609375, + "learning_rate": 1.0406963552298332e-05, + "loss": 0.7313, + "mean_token_accuracy": 0.781843711843712, + "step": 1455 + }, + { + "epoch": 0.5402904986585253, + "grad_norm": 0.6015625, + "learning_rate": 1.034239380227281e-05, + "loss": 0.7511, + "mean_token_accuracy": 0.778717948717949, + "step": 1460 + }, + { + "epoch": 0.542140808585438, + "grad_norm": 0.59765625, + "learning_rate": 1.0277809756916134e-05, + "loss": 0.8114, + "mean_token_accuracy": 0.7592735042735042, + "step": 1465 + }, + { + "epoch": 0.5439911185123508, + "grad_norm": 0.53515625, + "learning_rate": 1.0213214112685747e-05, + "loss": 0.7681, + "mean_token_accuracy": 0.7718192918192921, + "step": 1470 + }, + { + "epoch": 0.5458414284392635, + "grad_norm": 0.51171875, + "learning_rate": 1.0148609566523358e-05, + "loss": 0.8011, + "mean_token_accuracy": 0.7625518925518927, + "step": 1475 + }, + { + "epoch": 0.5476917383661764, + "grad_norm": 0.58203125, + "learning_rate": 1.0083998815742335e-05, + "loss": 0.8135, + "mean_token_accuracy": 0.7618498168498167, + "step": 1480 + }, + { + "epoch": 0.5495420482930891, + "grad_norm": 0.5546875, + "learning_rate": 1.0019384557915099e-05, + "loss": 0.78, + "mean_token_accuracy": 0.7669841269841271, + "step": 1485 + }, + { + "epoch": 0.5513923582200019, + "grad_norm": 0.52734375, + "learning_rate": 9.9547694907605e-06, + "loss": 0.7785, + "mean_token_accuracy": 0.7677655677655679, + "step": 1490 + }, + { + "epoch": 0.5532426681469146, + "grad_norm": 0.55078125, + "learning_rate": 9.890156312031165e-06, + "loss": 0.7657, + "mean_token_accuracy": 0.7713492063492066, + "step": 1495 + }, + { + "epoch": 0.5550929780738274, + "grad_norm": 0.546875, + "learning_rate": 9.825547719400889e-06, + "loss": 0.7675, + "mean_token_accuracy": 0.7740781440781443, + "step": 1500 + }, + { + "epoch": 0.5550929780738274, + "eval_loss": 0.8205817341804504, + "eval_mean_token_accuracy": 0.7543981073392838, + "eval_runtime": 26.0768, + "eval_samples_per_second": 4.947, + "eval_steps_per_second": 1.265, + "step": 1500 + }, + { + "epoch": 0.5569432880007401, + "grad_norm": 0.54296875, + "learning_rate": 9.760946410351988e-06, + "loss": 0.8231, + "mean_token_accuracy": 0.756037851037851, + "step": 1505 + }, + { + "epoch": 0.5587935979276529, + "grad_norm": 0.65234375, + "learning_rate": 9.696355082062679e-06, + "loss": 0.7927, + "mean_token_accuracy": 0.7633943833943834, + "step": 1510 + }, + { + "epoch": 0.5606439078545656, + "grad_norm": 0.4921875, + "learning_rate": 9.631776431294475e-06, + "loss": 0.7885, + "mean_token_accuracy": 0.767741147741148, + "step": 1515 + }, + { + "epoch": 0.5624942177814783, + "grad_norm": 0.51953125, + "learning_rate": 9.567213154279582e-06, + "loss": 0.7488, + "mean_token_accuracy": 0.775897435897436, + "step": 1520 + }, + { + "epoch": 0.5643445277083912, + "grad_norm": 0.5546875, + "learning_rate": 9.502667946608332e-06, + "loss": 0.7858, + "mean_token_accuracy": 0.7679120879120881, + "step": 1525 + }, + { + "epoch": 0.5661948376353039, + "grad_norm": 0.5859375, + "learning_rate": 9.43814350311666e-06, + "loss": 0.7891, + "mean_token_accuracy": 0.7662637362637363, + "step": 1530 + }, + { + "epoch": 0.5680451475622167, + "grad_norm": 0.5625, + "learning_rate": 9.37364251777355e-06, + "loss": 0.8253, + "mean_token_accuracy": 0.7550183150183152, + "step": 1535 + }, + { + "epoch": 0.5698954574891294, + "grad_norm": 0.5546875, + "learning_rate": 9.309167683568597e-06, + "loss": 0.8062, + "mean_token_accuracy": 0.7619536019536023, + "step": 1540 + }, + { + "epoch": 0.5717457674160422, + "grad_norm": 0.51171875, + "learning_rate": 9.244721692399545e-06, + "loss": 0.7547, + "mean_token_accuracy": 0.776001221001221, + "step": 1545 + }, + { + "epoch": 0.5735960773429549, + "grad_norm": 0.54296875, + "learning_rate": 9.180307234959918e-06, + "loss": 0.7877, + "mean_token_accuracy": 0.7657142857142858, + "step": 1550 + }, + { + "epoch": 0.5754463872698677, + "grad_norm": 0.546875, + "learning_rate": 9.115927000626665e-06, + "loss": 0.7956, + "mean_token_accuracy": 0.7652930402930405, + "step": 1555 + }, + { + "epoch": 0.5772966971967805, + "grad_norm": 0.515625, + "learning_rate": 9.051583677347879e-06, + "loss": 0.7882, + "mean_token_accuracy": 0.7654945054945055, + "step": 1560 + }, + { + "epoch": 0.5791470071236933, + "grad_norm": 0.5859375, + "learning_rate": 8.987279951530586e-06, + "loss": 0.7881, + "mean_token_accuracy": 0.7654822954822955, + "step": 1565 + }, + { + "epoch": 0.580997317050606, + "grad_norm": 0.53515625, + "learning_rate": 8.923018507928564e-06, + "loss": 0.8121, + "mean_token_accuracy": 0.7594566544566546, + "step": 1570 + }, + { + "epoch": 0.5828476269775187, + "grad_norm": 0.5390625, + "learning_rate": 8.85880202953026e-06, + "loss": 0.7848, + "mean_token_accuracy": 0.7694993894993898, + "step": 1575 + }, + { + "epoch": 0.5846979369044315, + "grad_norm": 0.56640625, + "learning_rate": 8.79463319744677e-06, + "loss": 0.8345, + "mean_token_accuracy": 0.7526739926739926, + "step": 1580 + }, + { + "epoch": 0.5865482468313442, + "grad_norm": 0.5625, + "learning_rate": 8.730514690799916e-06, + "loss": 0.7608, + "mean_token_accuracy": 0.770854700854701, + "step": 1585 + }, + { + "epoch": 0.588398556758257, + "grad_norm": 0.546875, + "learning_rate": 8.666449186610353e-06, + "loss": 0.7593, + "mean_token_accuracy": 0.7748901098901101, + "step": 1590 + }, + { + "epoch": 0.5902488666851697, + "grad_norm": 0.5078125, + "learning_rate": 8.60243935968585e-06, + "loss": 0.7608, + "mean_token_accuracy": 0.7717338217338219, + "step": 1595 + }, + { + "epoch": 0.5920991766120826, + "grad_norm": 0.56640625, + "learning_rate": 8.538487882509568e-06, + "loss": 0.7908, + "mean_token_accuracy": 0.7692551892551893, + "step": 1600 + }, + { + "epoch": 0.5920991766120826, + "eval_loss": 0.8200157880783081, + "eval_mean_token_accuracy": 0.7547331753214106, + "eval_runtime": 26.0828, + "eval_samples_per_second": 4.946, + "eval_steps_per_second": 1.265, + "step": 1600 + }, + { + "epoch": 0.5939494865389953, + "grad_norm": 0.5546875, + "learning_rate": 8.474597425128501e-06, + "loss": 0.7637, + "mean_token_accuracy": 0.7732722832722833, + "step": 1605 + }, + { + "epoch": 0.5957997964659081, + "grad_norm": 0.59765625, + "learning_rate": 8.410770655042003e-06, + "loss": 0.7728, + "mean_token_accuracy": 0.7693223443223444, + "step": 1610 + }, + { + "epoch": 0.5976501063928208, + "grad_norm": 0.52734375, + "learning_rate": 8.347010237090408e-06, + "loss": 0.8003, + "mean_token_accuracy": 0.7633760683760685, + "step": 1615 + }, + { + "epoch": 0.5995004163197336, + "grad_norm": 0.578125, + "learning_rate": 8.283318833343773e-06, + "loss": 0.8274, + "mean_token_accuracy": 0.757887667887668, + "step": 1620 + }, + { + "epoch": 0.6013507262466463, + "grad_norm": 0.59375, + "learning_rate": 8.219699102990735e-06, + "loss": 0.8158, + "mean_token_accuracy": 0.7618517857655597, + "step": 1625 + }, + { + "epoch": 0.603201036173559, + "grad_norm": 0.5703125, + "learning_rate": 8.156153702227484e-06, + "loss": 0.775, + "mean_token_accuracy": 0.7701159951159952, + "step": 1630 + }, + { + "epoch": 0.6050513461004718, + "grad_norm": 0.6171875, + "learning_rate": 8.092685284146865e-06, + "loss": 0.8372, + "mean_token_accuracy": 0.7498168498168496, + "step": 1635 + }, + { + "epoch": 0.6069016560273846, + "grad_norm": 0.54296875, + "learning_rate": 8.029296498627608e-06, + "loss": 0.7926, + "mean_token_accuracy": 0.7652503052503052, + "step": 1640 + }, + { + "epoch": 0.6087519659542974, + "grad_norm": 0.53125, + "learning_rate": 7.965989992223693e-06, + "loss": 0.7708, + "mean_token_accuracy": 0.7716910866910869, + "step": 1645 + }, + { + "epoch": 0.6106022758812101, + "grad_norm": 0.59375, + "learning_rate": 7.90276840805385e-06, + "loss": 0.8103, + "mean_token_accuracy": 0.7594139194139196, + "step": 1650 + }, + { + "epoch": 0.6124525858081229, + "grad_norm": 0.5, + "learning_rate": 7.839634385691214e-06, + "loss": 0.7823, + "mean_token_accuracy": 0.7687240537240537, + "step": 1655 + }, + { + "epoch": 0.6143028957350356, + "grad_norm": 0.546875, + "learning_rate": 7.776590561053117e-06, + "loss": 0.811, + "mean_token_accuracy": 0.761892551892552, + "step": 1660 + }, + { + "epoch": 0.6161532056619484, + "grad_norm": 0.53125, + "learning_rate": 7.713639566291028e-06, + "loss": 0.849, + "mean_token_accuracy": 0.7507020757020758, + "step": 1665 + }, + { + "epoch": 0.6180035155888611, + "grad_norm": 0.5390625, + "learning_rate": 7.650784029680662e-06, + "loss": 0.7242, + "mean_token_accuracy": 0.7835714285714287, + "step": 1670 + }, + { + "epoch": 0.6198538255157738, + "grad_norm": 0.5234375, + "learning_rate": 7.58802657551225e-06, + "loss": 0.7465, + "mean_token_accuracy": 0.777753357753358, + "step": 1675 + }, + { + "epoch": 0.6217041354426867, + "grad_norm": 0.5703125, + "learning_rate": 7.52536982398097e-06, + "loss": 0.8063, + "mean_token_accuracy": 0.7636630036630038, + "step": 1680 + }, + { + "epoch": 0.6235544453695994, + "grad_norm": 0.609375, + "learning_rate": 7.46281639107755e-06, + "loss": 0.8697, + "mean_token_accuracy": 0.7467540893006921, + "step": 1685 + }, + { + "epoch": 0.6254047552965122, + "grad_norm": 0.5234375, + "learning_rate": 7.400368888479048e-06, + "loss": 0.8231, + "mean_token_accuracy": 0.7551282051282052, + "step": 1690 + }, + { + "epoch": 0.6272550652234249, + "grad_norm": 0.609375, + "learning_rate": 7.3380299234398076e-06, + "loss": 0.8251, + "mean_token_accuracy": 0.7577045177045176, + "step": 1695 + }, + { + "epoch": 0.6291053751503377, + "grad_norm": 0.56640625, + "learning_rate": 7.275802098682612e-06, + "loss": 0.8423, + "mean_token_accuracy": 0.7533882783882784, + "step": 1700 + }, + { + "epoch": 0.6291053751503377, + "eval_loss": 0.8196747303009033, + "eval_mean_token_accuracy": 0.7543997396938573, + "eval_runtime": 26.0751, + "eval_samples_per_second": 4.947, + "eval_steps_per_second": 1.266, + "step": 1700 + }, + { + "epoch": 0.6309556850772504, + "grad_norm": 0.578125, + "learning_rate": 7.213688012290004e-06, + "loss": 0.8027, + "mean_token_accuracy": 0.761959706959707, + "step": 1705 + }, + { + "epoch": 0.6328059950041632, + "grad_norm": 0.546875, + "learning_rate": 7.151690257595826e-06, + "loss": 0.7783, + "mean_token_accuracy": 0.7691391941391942, + "step": 1710 + }, + { + "epoch": 0.6346563049310759, + "grad_norm": 0.5625, + "learning_rate": 7.089811423076936e-06, + "loss": 0.7158, + "mean_token_accuracy": 0.7856288156288157, + "step": 1715 + }, + { + "epoch": 0.6365066148579888, + "grad_norm": 0.53515625, + "learning_rate": 7.028054092245134e-06, + "loss": 0.8086, + "mean_token_accuracy": 0.7597680097680097, + "step": 1720 + }, + { + "epoch": 0.6383569247849015, + "grad_norm": 0.58984375, + "learning_rate": 6.966420843539321e-06, + "loss": 0.8179, + "mean_token_accuracy": 0.7561782661782661, + "step": 1725 + }, + { + "epoch": 0.6402072347118142, + "grad_norm": 0.498046875, + "learning_rate": 6.90491425021781e-06, + "loss": 0.8093, + "mean_token_accuracy": 0.759884004884005, + "step": 1730 + }, + { + "epoch": 0.642057544638727, + "grad_norm": 0.55078125, + "learning_rate": 6.843536880250914e-06, + "loss": 0.7813, + "mean_token_accuracy": 0.7674969474969477, + "step": 1735 + }, + { + "epoch": 0.6439078545656397, + "grad_norm": 0.57421875, + "learning_rate": 6.7822912962137225e-06, + "loss": 0.805, + "mean_token_accuracy": 0.7615506715506717, + "step": 1740 + }, + { + "epoch": 0.6457581644925525, + "grad_norm": 0.53125, + "learning_rate": 6.721180055179113e-06, + "loss": 0.8015, + "mean_token_accuracy": 0.7642264861374811, + "step": 1745 + }, + { + "epoch": 0.6476084744194652, + "grad_norm": 0.609375, + "learning_rate": 6.660205708610987e-06, + "loss": 0.8335, + "mean_token_accuracy": 0.7567155067155065, + "step": 1750 + }, + { + "epoch": 0.649458784346378, + "grad_norm": 0.546875, + "learning_rate": 6.599370802257755e-06, + "loss": 0.788, + "mean_token_accuracy": 0.767722832722833, + "step": 1755 + }, + { + "epoch": 0.6513090942732908, + "grad_norm": 0.52734375, + "learning_rate": 6.5386778760460316e-06, + "loss": 0.7622, + "mean_token_accuracy": 0.7774420024420026, + "step": 1760 + }, + { + "epoch": 0.6531594042002036, + "grad_norm": 0.58203125, + "learning_rate": 6.478129463974598e-06, + "loss": 0.8318, + "mean_token_accuracy": 0.7556715506715507, + "step": 1765 + }, + { + "epoch": 0.6550097141271163, + "grad_norm": 0.53125, + "learning_rate": 6.417728094008613e-06, + "loss": 0.7492, + "mean_token_accuracy": 0.7757814407814407, + "step": 1770 + }, + { + "epoch": 0.6568600240540291, + "grad_norm": 0.5234375, + "learning_rate": 6.357476287974051e-06, + "loss": 0.789, + "mean_token_accuracy": 0.7653174603174605, + "step": 1775 + }, + { + "epoch": 0.6587103339809418, + "grad_norm": 0.52734375, + "learning_rate": 6.297376561452428e-06, + "loss": 0.77, + "mean_token_accuracy": 0.7738278388278391, + "step": 1780 + }, + { + "epoch": 0.6605606439078545, + "grad_norm": 0.52734375, + "learning_rate": 6.237431423675764e-06, + "loss": 0.7891, + "mean_token_accuracy": 0.7663614163614165, + "step": 1785 + }, + { + "epoch": 0.6624109538347673, + "grad_norm": 0.54296875, + "learning_rate": 6.177643377421827e-06, + "loss": 0.7823, + "mean_token_accuracy": 0.7693284493284495, + "step": 1790 + }, + { + "epoch": 0.66426126376168, + "grad_norm": 0.5625, + "learning_rate": 6.118014918909633e-06, + "loss": 0.8053, + "mean_token_accuracy": 0.7628998778998779, + "step": 1795 + }, + { + "epoch": 0.6661115736885929, + "grad_norm": 0.55078125, + "learning_rate": 6.058548537695225e-06, + "loss": 0.7373, + "mean_token_accuracy": 0.7803357753357754, + "step": 1800 + }, + { + "epoch": 0.6661115736885929, + "eval_loss": 0.8193041086196899, + "eval_mean_token_accuracy": 0.754612707553884, + "eval_runtime": 26.077, + "eval_samples_per_second": 4.947, + "eval_steps_per_second": 1.265, + "step": 1800 + }, + { + "epoch": 0.6679618836155056, + "grad_norm": 0.546875, + "learning_rate": 5.999246716567737e-06, + "loss": 0.8142, + "mean_token_accuracy": 0.7571855921855921, + "step": 1805 + }, + { + "epoch": 0.6698121935424184, + "grad_norm": 0.60546875, + "learning_rate": 5.940111931445731e-06, + "loss": 0.8563, + "mean_token_accuracy": 0.7478327228327226, + "step": 1810 + }, + { + "epoch": 0.6716625034693311, + "grad_norm": 0.5, + "learning_rate": 5.881146651273825e-06, + "loss": 0.7408, + "mean_token_accuracy": 0.7795543345543348, + "step": 1815 + }, + { + "epoch": 0.6735128133962439, + "grad_norm": 0.5234375, + "learning_rate": 5.822353337919616e-06, + "loss": 0.7726, + "mean_token_accuracy": 0.7696886446886447, + "step": 1820 + }, + { + "epoch": 0.6753631233231566, + "grad_norm": 0.51171875, + "learning_rate": 5.763734446070892e-06, + "loss": 0.7316, + "mean_token_accuracy": 0.7817948717948717, + "step": 1825 + }, + { + "epoch": 0.6772134332500694, + "grad_norm": 0.515625, + "learning_rate": 5.705292423133133e-06, + "loss": 0.7376, + "mean_token_accuracy": 0.7823137973137975, + "step": 1830 + }, + { + "epoch": 0.6790637431769821, + "grad_norm": 0.58203125, + "learning_rate": 5.647029709127355e-06, + "loss": 0.8121, + "mean_token_accuracy": 0.7602686202686204, + "step": 1835 + }, + { + "epoch": 0.6809140531038949, + "grad_norm": 0.53125, + "learning_rate": 5.5889487365882065e-06, + "loss": 0.7721, + "mean_token_accuracy": 0.7713736263736264, + "step": 1840 + }, + { + "epoch": 0.6827643630308077, + "grad_norm": 0.546875, + "learning_rate": 5.531051930462437e-06, + "loss": 0.7729, + "mean_token_accuracy": 0.7722588522588524, + "step": 1845 + }, + { + "epoch": 0.6846146729577204, + "grad_norm": 0.53515625, + "learning_rate": 5.4733417080076325e-06, + "loss": 0.7598, + "mean_token_accuracy": 0.7739255189255192, + "step": 1850 + }, + { + "epoch": 0.6864649828846332, + "grad_norm": 0.57421875, + "learning_rate": 5.415820478691301e-06, + "loss": 0.7635, + "mean_token_accuracy": 0.7729120879120881, + "step": 1855 + }, + { + "epoch": 0.6883152928115459, + "grad_norm": 0.5546875, + "learning_rate": 5.358490644090263e-06, + "loss": 0.8096, + "mean_token_accuracy": 0.7614774114774117, + "step": 1860 + }, + { + "epoch": 0.6901656027384587, + "grad_norm": 0.5859375, + "learning_rate": 5.3013545977904005e-06, + "loss": 0.8301, + "mean_token_accuracy": 0.7540598290598292, + "step": 1865 + }, + { + "epoch": 0.6920159126653714, + "grad_norm": 0.5625, + "learning_rate": 5.244414725286717e-06, + "loss": 0.8301, + "mean_token_accuracy": 0.7557692307692309, + "step": 1870 + }, + { + "epoch": 0.6938662225922843, + "grad_norm": 0.51171875, + "learning_rate": 5.187673403883721e-06, + "loss": 0.7507, + "mean_token_accuracy": 0.776666666666667, + "step": 1875 + }, + { + "epoch": 0.695716532519197, + "grad_norm": 0.51171875, + "learning_rate": 5.131133002596199e-06, + "loss": 0.7309, + "mean_token_accuracy": 0.7812576312576314, + "step": 1880 + }, + { + "epoch": 0.6975668424461097, + "grad_norm": 0.5859375, + "learning_rate": 5.074795882050293e-06, + "loss": 0.8038, + "mean_token_accuracy": 0.7628693528693529, + "step": 1885 + }, + { + "epoch": 0.6994171523730225, + "grad_norm": 0.55078125, + "learning_rate": 5.018664394384942e-06, + "loss": 0.7564, + "mean_token_accuracy": 0.7764713064713066, + "step": 1890 + }, + { + "epoch": 0.7012674622999352, + "grad_norm": 0.515625, + "learning_rate": 4.9627408831536705e-06, + "loss": 0.772, + "mean_token_accuracy": 0.7692429792429796, + "step": 1895 + }, + { + "epoch": 0.703117772226848, + "grad_norm": 0.6015625, + "learning_rate": 4.907027683226761e-06, + "loss": 0.7601, + "mean_token_accuracy": 0.7741116335089171, + "step": 1900 + }, + { + "epoch": 0.703117772226848, + "eval_loss": 0.8192035555839539, + "eval_mean_token_accuracy": 0.7546293575705342, + "eval_runtime": 26.0663, + "eval_samples_per_second": 4.949, + "eval_steps_per_second": 1.266, + "step": 1900 + }, + { + "epoch": 0.7049680821537607, + "grad_norm": 0.5234375, + "learning_rate": 4.85152712069375e-06, + "loss": 0.7848, + "mean_token_accuracy": 0.7679609279609283, + "step": 1905 + }, + { + "epoch": 0.7068183920806735, + "grad_norm": 0.56640625, + "learning_rate": 4.7962415127663265e-06, + "loss": 0.7819, + "mean_token_accuracy": 0.7709890109890111, + "step": 1910 + }, + { + "epoch": 0.7086687020075862, + "grad_norm": 0.66796875, + "learning_rate": 4.74117316768158e-06, + "loss": 0.7899, + "mean_token_accuracy": 0.7628998778998778, + "step": 1915 + }, + { + "epoch": 0.7105190119344991, + "grad_norm": 0.55078125, + "learning_rate": 4.686324384605629e-06, + "loss": 0.8049, + "mean_token_accuracy": 0.7623748473748474, + "step": 1920 + }, + { + "epoch": 0.7123693218614118, + "grad_norm": 0.5390625, + "learning_rate": 4.631697453537623e-06, + "loss": 0.7944, + "mean_token_accuracy": 0.7652136752136754, + "step": 1925 + }, + { + "epoch": 0.7142196317883246, + "grad_norm": 0.55078125, + "learning_rate": 4.577294655214144e-06, + "loss": 0.8065, + "mean_token_accuracy": 0.7621123321123322, + "step": 1930 + }, + { + "epoch": 0.7160699417152373, + "grad_norm": 0.55859375, + "learning_rate": 4.523118261013969e-06, + "loss": 0.8069, + "mean_token_accuracy": 0.7615995115995114, + "step": 1935 + }, + { + "epoch": 0.71792025164215, + "grad_norm": 0.52734375, + "learning_rate": 4.469170532863254e-06, + "loss": 0.8386, + "mean_token_accuracy": 0.7511721611721612, + "step": 1940 + }, + { + "epoch": 0.7197705615690628, + "grad_norm": 0.546875, + "learning_rate": 4.415453723141081e-06, + "loss": 0.8222, + "mean_token_accuracy": 0.7564896214896215, + "step": 1945 + }, + { + "epoch": 0.7216208714959755, + "grad_norm": 0.52734375, + "learning_rate": 4.361970074585426e-06, + "loss": 0.7626, + "mean_token_accuracy": 0.7755860805860808, + "step": 1950 + }, + { + "epoch": 0.7234711814228884, + "grad_norm": 0.625, + "learning_rate": 4.308721820199529e-06, + "loss": 0.8138, + "mean_token_accuracy": 0.7604151404151402, + "step": 1955 + }, + { + "epoch": 0.7253214913498011, + "grad_norm": 0.55859375, + "learning_rate": 4.255711183158635e-06, + "loss": 0.773, + "mean_token_accuracy": 0.7697435897435898, + "step": 1960 + }, + { + "epoch": 0.7271718012767139, + "grad_norm": 0.5546875, + "learning_rate": 4.2029403767172175e-06, + "loss": 0.7818, + "mean_token_accuracy": 0.7663492063492064, + "step": 1965 + }, + { + "epoch": 0.7290221112036266, + "grad_norm": 0.54296875, + "learning_rate": 4.150411604116531e-06, + "loss": 0.7982, + "mean_token_accuracy": 0.7639804639804639, + "step": 1970 + }, + { + "epoch": 0.7308724211305394, + "grad_norm": 0.5234375, + "learning_rate": 4.098127058492652e-06, + "loss": 0.8013, + "mean_token_accuracy": 0.761813186813187, + "step": 1975 + }, + { + "epoch": 0.7327227310574521, + "grad_norm": 0.546875, + "learning_rate": 4.0460889227849e-06, + "loss": 0.8035, + "mean_token_accuracy": 0.7631562881562881, + "step": 1980 + }, + { + "epoch": 0.7345730409843649, + "grad_norm": 0.52734375, + "learning_rate": 3.9942993696447045e-06, + "loss": 0.7872, + "mean_token_accuracy": 0.7675457875457876, + "step": 1985 + }, + { + "epoch": 0.7364233509112776, + "grad_norm": 0.53515625, + "learning_rate": 3.942760561344877e-06, + "loss": 0.8127, + "mean_token_accuracy": 0.7607142857142856, + "step": 1990 + }, + { + "epoch": 0.7382736608381903, + "grad_norm": 0.5390625, + "learning_rate": 3.891474649689362e-06, + "loss": 0.8181, + "mean_token_accuracy": 0.7563919413919414, + "step": 1995 + }, + { + "epoch": 0.7401239707651032, + "grad_norm": 0.56640625, + "learning_rate": 3.840443775923365e-06, + "loss": 0.7916, + "mean_token_accuracy": 0.7642673992673995, + "step": 2000 + }, + { + "epoch": 0.7401239707651032, + "eval_loss": 0.819044828414917, + "eval_mean_token_accuracy": 0.7546460075871843, + "eval_runtime": 26.0834, + "eval_samples_per_second": 4.946, + "eval_steps_per_second": 1.265, + "step": 2000 + }, + { + "epoch": 0.7419742806920159, + "grad_norm": 0.55078125, + "learning_rate": 3.7896700706439826e-06, + "loss": 0.7943, + "mean_token_accuracy": 0.7654884004884005, + "step": 2005 + }, + { + "epoch": 0.7438245906189287, + "grad_norm": 0.53125, + "learning_rate": 3.7391556537112282e-06, + "loss": 0.7535, + "mean_token_accuracy": 0.7750793650793653, + "step": 2010 + }, + { + "epoch": 0.7456749005458414, + "grad_norm": 0.54296875, + "learning_rate": 3.6889026341595378e-06, + "loss": 0.75, + "mean_token_accuracy": 0.7773809523809525, + "step": 2015 + }, + { + "epoch": 0.7475252104727542, + "grad_norm": 0.54296875, + "learning_rate": 3.6389131101096953e-06, + "loss": 0.7725, + "mean_token_accuracy": 0.7696459096459096, + "step": 2020 + }, + { + "epoch": 0.7493755203996669, + "grad_norm": 0.55078125, + "learning_rate": 3.5891891686812597e-06, + "loss": 0.8132, + "mean_token_accuracy": 0.758526040459889, + "step": 2025 + }, + { + "epoch": 0.7512258303265797, + "grad_norm": 0.5390625, + "learning_rate": 3.5397328859054138e-06, + "loss": 0.7967, + "mean_token_accuracy": 0.7621855921855921, + "step": 2030 + }, + { + "epoch": 0.7530761402534925, + "grad_norm": 0.5625, + "learning_rate": 3.490546326638273e-06, + "loss": 0.8345, + "mean_token_accuracy": 0.7564122681613805, + "step": 2035 + }, + { + "epoch": 0.7549264501804053, + "grad_norm": 0.53515625, + "learning_rate": 3.441631544474705e-06, + "loss": 0.74, + "mean_token_accuracy": 0.7810012210012212, + "step": 2040 + }, + { + "epoch": 0.756776760107318, + "grad_norm": 0.56640625, + "learning_rate": 3.3929905816625653e-06, + "loss": 0.7891, + "mean_token_accuracy": 0.7667155067155067, + "step": 2045 + }, + { + "epoch": 0.7586270700342307, + "grad_norm": 0.6171875, + "learning_rate": 3.344625469017445e-06, + "loss": 0.8077, + "mean_token_accuracy": 0.7620695970695971, + "step": 2050 + }, + { + "epoch": 0.7604773799611435, + "grad_norm": 0.5234375, + "learning_rate": 3.2965382258378674e-06, + "loss": 0.7406, + "mean_token_accuracy": 0.7823992673992677, + "step": 2055 + }, + { + "epoch": 0.7623276898880562, + "grad_norm": 0.5703125, + "learning_rate": 3.248730859821002e-06, + "loss": 0.7964, + "mean_token_accuracy": 0.7645726495726497, + "step": 2060 + }, + { + "epoch": 0.764177999814969, + "grad_norm": 0.6015625, + "learning_rate": 3.2012053669788136e-06, + "loss": 0.8087, + "mean_token_accuracy": 0.7617582417582419, + "step": 2065 + }, + { + "epoch": 0.7660283097418817, + "grad_norm": 0.54296875, + "learning_rate": 3.1539637315547524e-06, + "loss": 0.7816, + "mean_token_accuracy": 0.7692124542124544, + "step": 2070 + }, + { + "epoch": 0.7678786196687946, + "grad_norm": 0.546875, + "learning_rate": 3.1070079259408934e-06, + "loss": 0.8164, + "mean_token_accuracy": 0.7587851037851037, + "step": 2075 + }, + { + "epoch": 0.7697289295957073, + "grad_norm": 0.546875, + "learning_rate": 3.0603399105955966e-06, + "loss": 0.7959, + "mean_token_accuracy": 0.7655555555555555, + "step": 2080 + }, + { + "epoch": 0.7715792395226201, + "grad_norm": 0.57421875, + "learning_rate": 3.0139616339616394e-06, + "loss": 0.7766, + "mean_token_accuracy": 0.7690048840048841, + "step": 2085 + }, + { + "epoch": 0.7734295494495328, + "grad_norm": 0.5390625, + "learning_rate": 2.9678750323848893e-06, + "loss": 0.7716, + "mean_token_accuracy": 0.7713553113553113, + "step": 2090 + }, + { + "epoch": 0.7752798593764455, + "grad_norm": 0.58203125, + "learning_rate": 2.922082030033446e-06, + "loss": 0.8302, + "mean_token_accuracy": 0.7541452991452993, + "step": 2095 + }, + { + "epoch": 0.7771301693033583, + "grad_norm": 0.53515625, + "learning_rate": 2.8765845388172955e-06, + "loss": 0.7605, + "mean_token_accuracy": 0.7737423687423688, + "step": 2100 + }, + { + "epoch": 0.7771301693033583, + "eval_loss": 0.819015622138977, + "eval_mean_token_accuracy": 0.754966275554511, + "eval_runtime": 26.0914, + "eval_samples_per_second": 4.944, + "eval_steps_per_second": 1.265, + "step": 2100 + }, + { + "epoch": 0.778980479230271, + "grad_norm": 0.5234375, + "learning_rate": 2.831384458308518e-06, + "loss": 0.7411, + "mean_token_accuracy": 0.7796459096459099, + "step": 2105 + }, + { + "epoch": 0.7808307891571838, + "grad_norm": 0.5234375, + "learning_rate": 2.7864836756619407e-06, + "loss": 0.7773, + "mean_token_accuracy": 0.7681929181929184, + "step": 2110 + }, + { + "epoch": 0.7826810990840966, + "grad_norm": 0.55859375, + "learning_rate": 2.741884065536373e-06, + "loss": 0.7309, + "mean_token_accuracy": 0.780964590964591, + "step": 2115 + }, + { + "epoch": 0.7845314090110094, + "grad_norm": 0.5703125, + "learning_rate": 2.6975874900163223e-06, + "loss": 0.7862, + "mean_token_accuracy": 0.7671245421245422, + "step": 2120 + }, + { + "epoch": 0.7863817189379221, + "grad_norm": 0.53515625, + "learning_rate": 2.6535957985342653e-06, + "loss": 0.7644, + "mean_token_accuracy": 0.7734859584859586, + "step": 2125 + }, + { + "epoch": 0.7882320288648349, + "grad_norm": 0.5703125, + "learning_rate": 2.6099108277934105e-06, + "loss": 0.7323, + "mean_token_accuracy": 0.7814896214896216, + "step": 2130 + }, + { + "epoch": 0.7900823387917476, + "grad_norm": 0.51953125, + "learning_rate": 2.5665344016910367e-06, + "loss": 0.7531, + "mean_token_accuracy": 0.7742735042735043, + "step": 2135 + }, + { + "epoch": 0.7919326487186604, + "grad_norm": 0.546875, + "learning_rate": 2.523468331242329e-06, + "loss": 0.7908, + "mean_token_accuracy": 0.765952380952381, + "step": 2140 + }, + { + "epoch": 0.7937829586455731, + "grad_norm": 0.625, + "learning_rate": 2.4807144145047734e-06, + "loss": 0.834, + "mean_token_accuracy": 0.7536874236874237, + "step": 2145 + }, + { + "epoch": 0.7956332685724858, + "grad_norm": 0.625, + "learning_rate": 2.438274436503074e-06, + "loss": 0.7333, + "mean_token_accuracy": 0.7803418803418805, + "step": 2150 + }, + { + "epoch": 0.7974835784993987, + "grad_norm": 0.5546875, + "learning_rate": 2.396150169154644e-06, + "loss": 0.8079, + "mean_token_accuracy": 0.7606349206349208, + "step": 2155 + }, + { + "epoch": 0.7993338884263114, + "grad_norm": 0.61328125, + "learning_rate": 2.3543433711956197e-06, + "loss": 0.7997, + "mean_token_accuracy": 0.7624297924297926, + "step": 2160 + }, + { + "epoch": 0.8011841983532242, + "grad_norm": 0.5078125, + "learning_rate": 2.3128557881074153e-06, + "loss": 0.7753, + "mean_token_accuracy": 0.772893772893773, + "step": 2165 + }, + { + "epoch": 0.8030345082801369, + "grad_norm": 0.55859375, + "learning_rate": 2.271689152043873e-06, + "loss": 0.7912, + "mean_token_accuracy": 0.7645604395604397, + "step": 2170 + }, + { + "epoch": 0.8048848182070497, + "grad_norm": 0.59375, + "learning_rate": 2.230845181758928e-06, + "loss": 0.8491, + "mean_token_accuracy": 0.748827838827839, + "step": 2175 + }, + { + "epoch": 0.8067351281339624, + "grad_norm": 0.515625, + "learning_rate": 2.1903255825348533e-06, + "loss": 0.7627, + "mean_token_accuracy": 0.7751831501831503, + "step": 2180 + }, + { + "epoch": 0.8085854380608752, + "grad_norm": 0.60546875, + "learning_rate": 2.150132046111054e-06, + "loss": 0.7893, + "mean_token_accuracy": 0.7648534798534798, + "step": 2185 + }, + { + "epoch": 0.810435747987788, + "grad_norm": 0.59765625, + "learning_rate": 2.1102662506134506e-06, + "loss": 0.8426, + "mean_token_accuracy": 0.7504273504273506, + "step": 2190 + }, + { + "epoch": 0.8122860579147008, + "grad_norm": 0.55859375, + "learning_rate": 2.0707298604843964e-06, + "loss": 0.7826, + "mean_token_accuracy": 0.7685714285714287, + "step": 2195 + }, + { + "epoch": 0.8141363678416135, + "grad_norm": 0.5703125, + "learning_rate": 2.03152452641321e-06, + "loss": 0.7403, + "mean_token_accuracy": 0.778907203907204, + "step": 2200 + }, + { + "epoch": 0.8141363678416135, + "eval_loss": 0.8189253807067871, + "eval_mean_token_accuracy": 0.7546959576371342, + "eval_runtime": 26.0836, + "eval_samples_per_second": 4.946, + "eval_steps_per_second": 1.265, + "step": 2200 + }, + { + "epoch": 0.8159866777685262, + "grad_norm": 0.55859375, + "learning_rate": 1.9926518852672294e-06, + "loss": 0.7908, + "mean_token_accuracy": 0.7656471306471306, + "step": 2205 + }, + { + "epoch": 0.817836987695439, + "grad_norm": 0.55859375, + "learning_rate": 1.9541135600234917e-06, + "loss": 0.7584, + "mean_token_accuracy": 0.775720390720391, + "step": 2210 + }, + { + "epoch": 0.8196872976223517, + "grad_norm": 0.51953125, + "learning_rate": 1.9159111597009584e-06, + "loss": 0.7581, + "mean_token_accuracy": 0.7746581196581198, + "step": 2215 + }, + { + "epoch": 0.8215376075492645, + "grad_norm": 0.57421875, + "learning_rate": 1.8780462792933473e-06, + "loss": 0.7515, + "mean_token_accuracy": 0.7767704517704519, + "step": 2220 + }, + { + "epoch": 0.8233879174761772, + "grad_norm": 0.5703125, + "learning_rate": 1.8405204997025394e-06, + "loss": 0.8596, + "mean_token_accuracy": 0.7457570207570207, + "step": 2225 + }, + { + "epoch": 0.82523822740309, + "grad_norm": 0.58203125, + "learning_rate": 1.8033353876725578e-06, + "loss": 0.8478, + "mean_token_accuracy": 0.7503479853479854, + "step": 2230 + }, + { + "epoch": 0.8270885373300028, + "grad_norm": 0.59375, + "learning_rate": 1.766492495724178e-06, + "loss": 0.7654, + "mean_token_accuracy": 0.7733028083028085, + "step": 2235 + }, + { + "epoch": 0.8289388472569156, + "grad_norm": 0.58984375, + "learning_rate": 1.7299933620900945e-06, + "loss": 0.8072, + "mean_token_accuracy": 0.7613797313797315, + "step": 2240 + }, + { + "epoch": 0.8307891571838283, + "grad_norm": 0.515625, + "learning_rate": 1.6938395106507034e-06, + "loss": 0.7069, + "mean_token_accuracy": 0.7902625152625156, + "step": 2245 + }, + { + "epoch": 0.832639467110741, + "grad_norm": 0.55078125, + "learning_rate": 1.658032450870467e-06, + "loss": 0.7755, + "mean_token_accuracy": 0.7686630036630037, + "step": 2250 + }, + { + "epoch": 0.8344897770376538, + "grad_norm": 0.5390625, + "learning_rate": 1.622573677734911e-06, + "loss": 0.7448, + "mean_token_accuracy": 0.7794871794871796, + "step": 2255 + }, + { + "epoch": 0.8363400869645665, + "grad_norm": 0.58984375, + "learning_rate": 1.587464671688187e-06, + "loss": 0.8006, + "mean_token_accuracy": 0.7608424908424909, + "step": 2260 + }, + { + "epoch": 0.8381903968914793, + "grad_norm": 0.56640625, + "learning_rate": 1.552706898571288e-06, + "loss": 0.8142, + "mean_token_accuracy": 0.7587423687423687, + "step": 2265 + }, + { + "epoch": 0.840040706818392, + "grad_norm": 0.56640625, + "learning_rate": 1.5183018095608138e-06, + "loss": 0.8084, + "mean_token_accuracy": 0.7609201304433996, + "step": 2270 + }, + { + "epoch": 0.8418910167453049, + "grad_norm": 0.54296875, + "learning_rate": 1.4842508411084145e-06, + "loss": 0.7561, + "mean_token_accuracy": 0.7751037851037853, + "step": 2275 + }, + { + "epoch": 0.8437413266722176, + "grad_norm": 0.60546875, + "learning_rate": 1.4505554148807954e-06, + "loss": 0.8169, + "mean_token_accuracy": 0.7584371184371185, + "step": 2280 + }, + { + "epoch": 0.8455916365991304, + "grad_norm": 0.56640625, + "learning_rate": 1.4172169377003775e-06, + "loss": 0.7917, + "mean_token_accuracy": 0.7660012210012211, + "step": 2285 + }, + { + "epoch": 0.8474419465260431, + "grad_norm": 0.56640625, + "learning_rate": 1.3842368014865414e-06, + "loss": 0.7726, + "mean_token_accuracy": 0.7716788766788768, + "step": 2290 + }, + { + "epoch": 0.8492922564529559, + "grad_norm": 0.5625, + "learning_rate": 1.3516163831975337e-06, + "loss": 0.7783, + "mean_token_accuracy": 0.772661782661783, + "step": 2295 + }, + { + "epoch": 0.8511425663798686, + "grad_norm": 0.60546875, + "learning_rate": 1.3193570447729642e-06, + "loss": 0.8094, + "mean_token_accuracy": 0.7593650793650795, + "step": 2300 + }, + { + "epoch": 0.8511425663798686, + "eval_loss": 0.8189005255699158, + "eval_mean_token_accuracy": 0.7546053075464842, + "eval_runtime": 26.0815, + "eval_samples_per_second": 4.946, + "eval_steps_per_second": 1.265, + "step": 2300 + }, + { + "epoch": 0.8529928763067813, + "grad_norm": 0.55859375, + "learning_rate": 1.2874601330769488e-06, + "loss": 0.8282, + "mean_token_accuracy": 0.7572283272283271, + "step": 2305 + }, + { + "epoch": 0.8548431862336942, + "grad_norm": 0.52734375, + "learning_rate": 1.255926979841876e-06, + "loss": 0.7546, + "mean_token_accuracy": 0.7755677655677656, + "step": 2310 + }, + { + "epoch": 0.8566934961606069, + "grad_norm": 0.53515625, + "learning_rate": 1.224758901612796e-06, + "loss": 0.773, + "mean_token_accuracy": 0.7707570207570209, + "step": 2315 + }, + { + "epoch": 0.8585438060875197, + "grad_norm": 0.546875, + "learning_rate": 1.1939571996924738e-06, + "loss": 0.7457, + "mean_token_accuracy": 0.7784065934065935, + "step": 2320 + }, + { + "epoch": 0.8603941160144324, + "grad_norm": 0.5234375, + "learning_rate": 1.1635231600870334e-06, + "loss": 0.8219, + "mean_token_accuracy": 0.7565201465201465, + "step": 2325 + }, + { + "epoch": 0.8622444259413452, + "grad_norm": 0.5390625, + "learning_rate": 1.1334580534522932e-06, + "loss": 0.7932, + "mean_token_accuracy": 0.7651282051282052, + "step": 2330 + }, + { + "epoch": 0.8640947358682579, + "grad_norm": 0.54296875, + "learning_rate": 1.1037631350406874e-06, + "loss": 0.6943, + "mean_token_accuracy": 0.7926190476190478, + "step": 2335 + }, + { + "epoch": 0.8659450457951707, + "grad_norm": 0.56640625, + "learning_rate": 1.0744396446488781e-06, + "loss": 0.7987, + "mean_token_accuracy": 0.7629731379731381, + "step": 2340 + }, + { + "epoch": 0.8677953557220834, + "grad_norm": 0.5625, + "learning_rate": 1.0454888065659775e-06, + "loss": 0.84, + "mean_token_accuracy": 0.7513553113553114, + "step": 2345 + }, + { + "epoch": 0.8696456656489963, + "grad_norm": 0.57421875, + "learning_rate": 1.0169118295224488e-06, + "loss": 0.8309, + "mean_token_accuracy": 0.7559645909645909, + "step": 2350 + }, + { + "epoch": 0.871495975575909, + "grad_norm": 0.55859375, + "learning_rate": 9.887099066396178e-07, + "loss": 0.8251, + "mean_token_accuracy": 0.7557509157509159, + "step": 2355 + }, + { + "epoch": 0.8733462855028217, + "grad_norm": 0.5625, + "learning_rate": 9.608842153798903e-07, + "loss": 0.8459, + "mean_token_accuracy": 0.7503296703296702, + "step": 2360 + }, + { + "epoch": 0.8751965954297345, + "grad_norm": 0.56640625, + "learning_rate": 9.33435917497556e-07, + "loss": 0.7765, + "mean_token_accuracy": 0.7696031746031744, + "step": 2365 + }, + { + "epoch": 0.8770469053566472, + "grad_norm": 0.55859375, + "learning_rate": 9.063661589903116e-07, + "loss": 0.7871, + "mean_token_accuracy": 0.7675152625152626, + "step": 2370 + }, + { + "epoch": 0.87889721528356, + "grad_norm": 0.54296875, + "learning_rate": 8.796760700513984e-07, + "loss": 0.8339, + "mean_token_accuracy": 0.7530097680097679, + "step": 2375 + }, + { + "epoch": 0.8807475252104727, + "grad_norm": 0.546875, + "learning_rate": 8.533667650224253e-07, + "loss": 0.7915, + "mean_token_accuracy": 0.7669474969474972, + "step": 2380 + }, + { + "epoch": 0.8825978351373855, + "grad_norm": 0.60546875, + "learning_rate": 8.274393423468385e-07, + "loss": 0.8438, + "mean_token_accuracy": 0.7518070818070817, + "step": 2385 + }, + { + "epoch": 0.8844481450642983, + "grad_norm": 0.52734375, + "learning_rate": 8.018948845240538e-07, + "loss": 0.8147, + "mean_token_accuracy": 0.7604273504273504, + "step": 2390 + }, + { + "epoch": 0.8862984549912111, + "grad_norm": 0.58203125, + "learning_rate": 7.767344580642821e-07, + "loss": 0.785, + "mean_token_accuracy": 0.7690048840048841, + "step": 2395 + }, + { + "epoch": 0.8881487649181238, + "grad_norm": 0.546875, + "learning_rate": 7.519591134439753e-07, + "loss": 0.7843, + "mean_token_accuracy": 0.7686507936507938, + "step": 2400 + }, + { + "epoch": 0.8881487649181238, + "eval_loss": 0.8189650177955627, + "eval_mean_token_accuracy": 0.7548106577518344, + "eval_runtime": 26.072, + "eval_samples_per_second": 4.948, + "eval_steps_per_second": 1.266, + "step": 2400 + }, + { + "epoch": 0.8899990748450366, + "grad_norm": 0.546875, + "learning_rate": 7.275698850619861e-07, + "loss": 0.7779, + "mean_token_accuracy": 0.7692857142857144, + "step": 2405 + }, + { + "epoch": 0.8918493847719493, + "grad_norm": 0.57421875, + "learning_rate": 7.035677911963712e-07, + "loss": 0.7506, + "mean_token_accuracy": 0.7773748473748475, + "step": 2410 + }, + { + "epoch": 0.893699694698862, + "grad_norm": 0.5390625, + "learning_rate": 6.799538339618838e-07, + "loss": 0.796, + "mean_token_accuracy": 0.7610561660561661, + "step": 2415 + }, + { + "epoch": 0.8955500046257748, + "grad_norm": 0.49609375, + "learning_rate": 6.567289992681258e-07, + "loss": 0.7628, + "mean_token_accuracy": 0.7717032967032967, + "step": 2420 + }, + { + "epoch": 0.8974003145526875, + "grad_norm": 0.58203125, + "learning_rate": 6.33894256778399e-07, + "loss": 0.8022, + "mean_token_accuracy": 0.7613797313797314, + "step": 2425 + }, + { + "epoch": 0.8992506244796004, + "grad_norm": 0.6015625, + "learning_rate": 6.114505598692011e-07, + "loss": 0.7999, + "mean_token_accuracy": 0.7630158730158731, + "step": 2430 + }, + { + "epoch": 0.9011009344065131, + "grad_norm": 0.57421875, + "learning_rate": 5.893988455904387e-07, + "loss": 0.743, + "mean_token_accuracy": 0.7777045177045179, + "step": 2435 + }, + { + "epoch": 0.9029512443334259, + "grad_norm": 0.494140625, + "learning_rate": 5.677400346262918e-07, + "loss": 0.7622, + "mean_token_accuracy": 0.7728266178266182, + "step": 2440 + }, + { + "epoch": 0.9048015542603386, + "grad_norm": 0.578125, + "learning_rate": 5.464750312567835e-07, + "loss": 0.7049, + "mean_token_accuracy": 0.7893162393162396, + "step": 2445 + }, + { + "epoch": 0.9066518641872514, + "grad_norm": 0.55859375, + "learning_rate": 5.256047233200201e-07, + "loss": 0.7841, + "mean_token_accuracy": 0.7664774114774116, + "step": 2450 + }, + { + "epoch": 0.9085021741141641, + "grad_norm": 0.5390625, + "learning_rate": 5.051299821751254e-07, + "loss": 0.7993, + "mean_token_accuracy": 0.7621306471306472, + "step": 2455 + }, + { + "epoch": 0.9103524840410768, + "grad_norm": 0.60546875, + "learning_rate": 4.850516626658585e-07, + "loss": 0.8352, + "mean_token_accuracy": 0.7551770451770453, + "step": 2460 + }, + { + "epoch": 0.9122027939679896, + "grad_norm": 0.55859375, + "learning_rate": 4.653706030849214e-07, + "loss": 0.7927, + "mean_token_accuracy": 0.7655616605616608, + "step": 2465 + }, + { + "epoch": 0.9140531038949024, + "grad_norm": 0.59765625, + "learning_rate": 4.4608762513896455e-07, + "loss": 0.8552, + "mean_token_accuracy": 0.7490293040293041, + "step": 2470 + }, + { + "epoch": 0.9159034138218152, + "grad_norm": 0.5390625, + "learning_rate": 4.2720353391427547e-07, + "loss": 0.7642, + "mean_token_accuracy": 0.7714896214896216, + "step": 2475 + }, + { + "epoch": 0.9177537237487279, + "grad_norm": 0.5234375, + "learning_rate": 4.087191178431682e-07, + "loss": 0.8003, + "mean_token_accuracy": 0.7616239316239317, + "step": 2480 + }, + { + "epoch": 0.9196040336756407, + "grad_norm": 0.53515625, + "learning_rate": 3.9063514867105914e-07, + "loss": 0.8735, + "mean_token_accuracy": 0.7444444444444442, + "step": 2485 + }, + { + "epoch": 0.9214543436025534, + "grad_norm": 0.5546875, + "learning_rate": 3.729523814242608e-07, + "loss": 0.7967, + "mean_token_accuracy": 0.7642735042735043, + "step": 2490 + }, + { + "epoch": 0.9233046535294662, + "grad_norm": 0.5390625, + "learning_rate": 3.5567155437843725e-07, + "loss": 0.7621, + "mean_token_accuracy": 0.7725457875457875, + "step": 2495 + }, + { + "epoch": 0.9251549634563789, + "grad_norm": 0.6640625, + "learning_rate": 3.3879338902779945e-07, + "loss": 0.7238, + "mean_token_accuracy": 0.7829304029304031, + "step": 2500 + }, + { + "epoch": 0.9251549634563789, + "eval_loss": 0.8188990950584412, + "eval_mean_token_accuracy": 0.7546830076241844, + "eval_runtime": 26.0806, + "eval_samples_per_second": 4.946, + "eval_steps_per_second": 1.265, + "step": 2500 + }, + { + "epoch": 0.9270052733832918, + "grad_norm": 0.58203125, + "learning_rate": 3.223185900549686e-07, + "loss": 0.8143, + "mean_token_accuracy": 0.7615140415140416, + "step": 2505 + }, + { + "epoch": 0.9288555833102045, + "grad_norm": 0.578125, + "learning_rate": 3.0624784530156384e-07, + "loss": 0.7935, + "mean_token_accuracy": 0.7645115995115995, + "step": 2510 + }, + { + "epoch": 0.9307058932371172, + "grad_norm": 0.5234375, + "learning_rate": 2.905818257394799e-07, + "loss": 0.7468, + "mean_token_accuracy": 0.7803663003663006, + "step": 2515 + }, + { + "epoch": 0.93255620316403, + "grad_norm": 0.58984375, + "learning_rate": 2.753211854428728e-07, + "loss": 0.7384, + "mean_token_accuracy": 0.7796336996336997, + "step": 2520 + }, + { + "epoch": 0.9344065130909427, + "grad_norm": 0.51171875, + "learning_rate": 2.604665615608526e-07, + "loss": 0.8001, + "mean_token_accuracy": 0.7647697631640189, + "step": 2525 + }, + { + "epoch": 0.9362568230178555, + "grad_norm": 0.58203125, + "learning_rate": 2.460185742908816e-07, + "loss": 0.839, + "mean_token_accuracy": 0.7539621489621489, + "step": 2530 + }, + { + "epoch": 0.9381071329447682, + "grad_norm": 0.56640625, + "learning_rate": 2.3197782685288385e-07, + "loss": 0.8144, + "mean_token_accuracy": 0.7606471306471306, + "step": 2535 + }, + { + "epoch": 0.939957442871681, + "grad_norm": 0.55078125, + "learning_rate": 2.1834490546405186e-07, + "loss": 0.7927, + "mean_token_accuracy": 0.7649450549450549, + "step": 2540 + }, + { + "epoch": 0.9418077527985937, + "grad_norm": 0.55078125, + "learning_rate": 2.0512037931437855e-07, + "loss": 0.8167, + "mean_token_accuracy": 0.7583699633699635, + "step": 2545 + }, + { + "epoch": 0.9436580627255066, + "grad_norm": 0.51953125, + "learning_rate": 1.9230480054288958e-07, + "loss": 0.7274, + "mean_token_accuracy": 0.7822710622710624, + "step": 2550 + }, + { + "epoch": 0.9455083726524193, + "grad_norm": 0.5390625, + "learning_rate": 1.7989870421459498e-07, + "loss": 0.7599, + "mean_token_accuracy": 0.7735409035409037, + "step": 2555 + }, + { + "epoch": 0.9473586825793321, + "grad_norm": 0.5703125, + "learning_rate": 1.6790260829814053e-07, + "loss": 0.8146, + "mean_token_accuracy": 0.758980463980464, + "step": 2560 + }, + { + "epoch": 0.9492089925062448, + "grad_norm": 0.5390625, + "learning_rate": 1.5631701364419492e-07, + "loss": 0.7054, + "mean_token_accuracy": 0.7896398046398048, + "step": 2565 + }, + { + "epoch": 0.9510593024331575, + "grad_norm": 0.5078125, + "learning_rate": 1.4514240396452438e-07, + "loss": 0.7596, + "mean_token_accuracy": 0.7729059829059831, + "step": 2570 + }, + { + "epoch": 0.9529096123600703, + "grad_norm": 0.51953125, + "learning_rate": 1.3437924581181205e-07, + "loss": 0.7282, + "mean_token_accuracy": 0.7823137973137976, + "step": 2575 + }, + { + "epoch": 0.954759922286983, + "grad_norm": 0.55859375, + "learning_rate": 1.2402798856016474e-07, + "loss": 0.8428, + "mean_token_accuracy": 0.7522832722832724, + "step": 2580 + }, + { + "epoch": 0.9566102322138959, + "grad_norm": 0.55078125, + "learning_rate": 1.1408906438636236e-07, + "loss": 0.7615, + "mean_token_accuracy": 0.7756288156288157, + "step": 2585 + }, + { + "epoch": 0.9584605421408086, + "grad_norm": 0.53125, + "learning_rate": 1.045628882518046e-07, + "loss": 0.7397, + "mean_token_accuracy": 0.7781868131868135, + "step": 2590 + }, + { + "epoch": 0.9603108520677214, + "grad_norm": 0.59375, + "learning_rate": 9.544985788519589e-08, + "loss": 0.8289, + "mean_token_accuracy": 0.7555555555555555, + "step": 2595 + }, + { + "epoch": 0.9621611619946341, + "grad_norm": 0.546875, + "learning_rate": 8.675035376593088e-08, + "loss": 0.7881, + "mean_token_accuracy": 0.766874236874237, + "step": 2600 + }, + { + "epoch": 0.9621611619946341, + "eval_loss": 0.8189713954925537, + "eval_mean_token_accuracy": 0.7548756254638613, + "eval_runtime": 26.0624, + "eval_samples_per_second": 4.95, + "eval_steps_per_second": 1.266, + "step": 2600 + }, + { + "epoch": 0.9640114719215469, + "grad_norm": 0.5546875, + "learning_rate": 7.846473910821162e-08, + "loss": 0.8085, + "mean_token_accuracy": 0.7612148962148964, + "step": 2605 + }, + { + "epoch": 0.9658617818484596, + "grad_norm": 0.53125, + "learning_rate": 7.059335984588634e-08, + "loss": 0.7267, + "mean_token_accuracy": 0.7843833943833947, + "step": 2610 + }, + { + "epoch": 0.9677120917753724, + "grad_norm": 0.61328125, + "learning_rate": 6.313654461800322e-08, + "loss": 0.8455, + "mean_token_accuracy": 0.7499328449328448, + "step": 2615 + }, + { + "epoch": 0.9695624017022851, + "grad_norm": 0.51953125, + "learning_rate": 5.609460475509032e-08, + "loss": 0.7448, + "mean_token_accuracy": 0.7773137973137976, + "step": 2620 + }, + { + "epoch": 0.9714127116291978, + "grad_norm": 0.53125, + "learning_rate": 4.9467834266154756e-08, + "loss": 0.8253, + "mean_token_accuracy": 0.7578510378510378, + "step": 2625 + }, + { + "epoch": 0.9732630215561107, + "grad_norm": 0.5546875, + "learning_rate": 4.325650982641039e-08, + "loss": 0.7935, + "mean_token_accuracy": 0.7637851037851039, + "step": 2630 + }, + { + "epoch": 0.9751133314830234, + "grad_norm": 0.53515625, + "learning_rate": 3.746089076572701e-08, + "loss": 0.7791, + "mean_token_accuracy": 0.7706654456654458, + "step": 2635 + }, + { + "epoch": 0.9769636414099362, + "grad_norm": 0.55078125, + "learning_rate": 3.208121905779904e-08, + "loss": 0.7357, + "mean_token_accuracy": 0.7803846153846157, + "step": 2640 + }, + { + "epoch": 0.9788139513368489, + "grad_norm": 0.578125, + "learning_rate": 2.711771931004692e-08, + "loss": 0.7612, + "mean_token_accuracy": 0.7714163614163615, + "step": 2645 + }, + { + "epoch": 0.9806642612637617, + "grad_norm": 0.5703125, + "learning_rate": 2.257059875423795e-08, + "loss": 0.8455, + "mean_token_accuracy": 0.748791208791209, + "step": 2650 + }, + { + "epoch": 0.9825145711906744, + "grad_norm": 0.546875, + "learning_rate": 1.8440047237832105e-08, + "loss": 0.6935, + "mean_token_accuracy": 0.7913308913308914, + "step": 2655 + }, + { + "epoch": 0.9843648811175872, + "grad_norm": 0.578125, + "learning_rate": 1.472623721606059e-08, + "loss": 0.7697, + "mean_token_accuracy": 0.7722405372405374, + "step": 2660 + }, + { + "epoch": 0.9862151910445, + "grad_norm": 0.5703125, + "learning_rate": 1.1429323744720499e-08, + "loss": 0.7916, + "mean_token_accuracy": 0.7669413919413919, + "step": 2665 + }, + { + "epoch": 0.9880655009714127, + "grad_norm": 0.5546875, + "learning_rate": 8.549444473702207e-09, + "loss": 0.8311, + "mean_token_accuracy": 0.753003663003663, + "step": 2670 + }, + { + "epoch": 0.9899158108983255, + "grad_norm": 0.5625, + "learning_rate": 6.086719641246186e-09, + "loss": 0.7339, + "mean_token_accuracy": 0.7823321123321122, + "step": 2675 + }, + { + "epoch": 0.9917661208252382, + "grad_norm": 0.51953125, + "learning_rate": 4.041252068918145e-09, + "loss": 0.7361, + "mean_token_accuracy": 0.7801526251526253, + "step": 2680 + }, + { + "epoch": 0.993616430752151, + "grad_norm": 0.546875, + "learning_rate": 2.4131271573191172e-09, + "loss": 0.774, + "mean_token_accuracy": 0.7713064713064715, + "step": 2685 + }, + { + "epoch": 0.9954667406790637, + "grad_norm": 0.5703125, + "learning_rate": 1.2024128825172121e-09, + "loss": 0.7732, + "mean_token_accuracy": 0.7708485958485959, + "step": 2690 + }, + { + "epoch": 0.9973170506059765, + "grad_norm": 0.58984375, + "learning_rate": 4.0915979321320967e-10, + "loss": 0.7891, + "mean_token_accuracy": 0.7637240537240537, + "step": 2695 + }, + { + "epoch": 0.9991673605328892, + "grad_norm": 0.51953125, + "learning_rate": 3.3401008625588706e-11, + "loss": 0.7672, + "mean_token_accuracy": 0.7712332112332115, + "step": 2700 + }, + { + "epoch": 0.9991673605328892, + "eval_loss": 0.8189318776130676, + "eval_mean_token_accuracy": 0.7548460254342608, + "eval_runtime": 26.1059, + "eval_samples_per_second": 4.941, + "eval_steps_per_second": 1.264, + "step": 2700 + }, + { + "epoch": 0.9999074845036544, + "mean_token_accuracy": 0.7957417582417581, + "step": 2702, + "total_flos": 6.960985517882081e+17, + "train_loss": 0.8181797522337325, + "train_runtime": 16039.8645, + "train_samples_per_second": 1.348, + "train_steps_per_second": 0.168 + } + ], + "logging_steps": 5, + "max_steps": 2702, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": false, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 6.960985517882081e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}