diff --git "a/checkpoint-2000/trainer_state.json" "b/checkpoint-2000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-2000/trainer_state.json" @@ -0,0 +1,4034 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.10287272072628141, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 10.742102813720702, + "epoch": 0.0002571818018157035, + "grad_norm": 5.21875, + "learning_rate": 2e-06, + "loss": 10.7614, + "mean_token_accuracy": 8.620689623057842e-05, + "num_tokens": 9573.0, + "step": 5 + }, + { + "entropy": 10.742151069641114, + "epoch": 0.000514363603631407, + "grad_norm": 4.84375, + "learning_rate": 4.5e-06, + "loss": 10.7583, + "mean_token_accuracy": 0.0, + "num_tokens": 18933.0, + "step": 10 + }, + { + "entropy": 10.742130088806153, + "epoch": 0.0007715454054471106, + "grad_norm": 5.21875, + "learning_rate": 7e-06, + "loss": 10.7448, + "mean_token_accuracy": 0.0, + "num_tokens": 29028.0, + "step": 15 + }, + { + "entropy": 10.742134284973144, + "epoch": 0.001028727207262814, + "grad_norm": 4.9375, + "learning_rate": 9.5e-06, + "loss": 10.6881, + "mean_token_accuracy": 0.00012970168609172106, + "num_tokens": 37987.0, + "step": 20 + }, + { + "entropy": 10.742049884796142, + "epoch": 0.0012859090090785177, + "grad_norm": 4.4375, + "learning_rate": 1.2e-05, + "loss": 10.5852, + "mean_token_accuracy": 0.0029032987426035107, + "num_tokens": 47163.0, + "step": 25 + }, + { + "entropy": 10.741710948944093, + "epoch": 0.0015430908108942211, + "grad_norm": 4.25, + "learning_rate": 1.4500000000000002e-05, + "loss": 10.4809, + "mean_token_accuracy": 0.02479298785328865, + "num_tokens": 56096.0, + "step": 30 + }, + { + "entropy": 10.740671920776368, + "epoch": 0.0018002726127099246, + "grad_norm": 3.296875, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.3641, + "mean_token_accuracy": 0.03960379287600517, + "num_tokens": 65823.0, + "step": 35 + }, + { + "entropy": 10.737626838684083, + "epoch": 0.002057454414525628, + "grad_norm": 2.578125, + "learning_rate": 1.95e-05, + "loss": 10.2147, + "mean_token_accuracy": 0.04078627172857523, + "num_tokens": 75005.0, + "step": 40 + }, + { + "entropy": 10.73199462890625, + "epoch": 0.0023146362163413317, + "grad_norm": 2.53125, + "learning_rate": 2.2e-05, + "loss": 10.1015, + "mean_token_accuracy": 0.04431910365819931, + "num_tokens": 83340.0, + "step": 45 + }, + { + "entropy": 10.72521743774414, + "epoch": 0.0025718180181570354, + "grad_norm": 2.140625, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.0212, + "mean_token_accuracy": 0.049253365769982335, + "num_tokens": 92004.0, + "step": 50 + }, + { + "entropy": 10.719530010223389, + "epoch": 0.0028289998199727386, + "grad_norm": 2.078125, + "learning_rate": 2.7e-05, + "loss": 9.9673, + "mean_token_accuracy": 0.04715999849140644, + "num_tokens": 101196.0, + "step": 55 + }, + { + "entropy": 10.713758850097657, + "epoch": 0.0030861816217884423, + "grad_norm": 2.078125, + "learning_rate": 2.95e-05, + "loss": 9.8887, + "mean_token_accuracy": 0.04930844120681286, + "num_tokens": 109931.0, + "step": 60 + }, + { + "entropy": 10.709882545471192, + "epoch": 0.003343363423604146, + "grad_norm": 2.0625, + "learning_rate": 3.2e-05, + "loss": 9.8563, + "mean_token_accuracy": 0.046213630586862564, + "num_tokens": 118450.0, + "step": 65 + }, + { + "entropy": 10.70816535949707, + "epoch": 0.003600545225419849, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7843, + "mean_token_accuracy": 0.04638329595327377, + "num_tokens": 127311.0, + "step": 70 + }, + { + "entropy": 10.705178928375243, + "epoch": 0.003857727027235553, + "grad_norm": 1.875, + "learning_rate": 3.7e-05, + "loss": 9.7153, + "mean_token_accuracy": 0.05029761902987957, + "num_tokens": 136529.0, + "step": 75 + }, + { + "entropy": 10.696865940093994, + "epoch": 0.004114908829051256, + "grad_norm": 1.828125, + "learning_rate": 3.95e-05, + "loss": 9.6593, + "mean_token_accuracy": 0.050337107852101326, + "num_tokens": 145754.0, + "step": 80 + }, + { + "entropy": 10.685219669342041, + "epoch": 0.00437209063086696, + "grad_norm": 1.8046875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.6217, + "mean_token_accuracy": 0.04981501027941704, + "num_tokens": 155229.0, + "step": 85 + }, + { + "entropy": 10.669653797149659, + "epoch": 0.004629272432682663, + "grad_norm": 1.8984375, + "learning_rate": 4.45e-05, + "loss": 9.4894, + "mean_token_accuracy": 0.06370054408907891, + "num_tokens": 163766.0, + "step": 90 + }, + { + "entropy": 10.649745845794678, + "epoch": 0.004886454234498367, + "grad_norm": 1.7265625, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.4341, + "mean_token_accuracy": 0.05732584930956364, + "num_tokens": 172309.0, + "step": 95 + }, + { + "entropy": 10.618613624572754, + "epoch": 0.005143636036314071, + "grad_norm": 1.7421875, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.2855, + "mean_token_accuracy": 0.06327233165502548, + "num_tokens": 180242.0, + "step": 100 + }, + { + "entropy": 10.569914817810059, + "epoch": 0.0054008178381297735, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2324, + "mean_token_accuracy": 0.060527439787983896, + "num_tokens": 189044.0, + "step": 105 + }, + { + "entropy": 10.520080757141113, + "epoch": 0.005657999639945477, + "grad_norm": 1.5390625, + "learning_rate": 5.45e-05, + "loss": 9.1122, + "mean_token_accuracy": 0.06187737137079239, + "num_tokens": 197779.0, + "step": 110 + }, + { + "entropy": 10.468755054473878, + "epoch": 0.005915181441761181, + "grad_norm": 1.5859375, + "learning_rate": 5.7e-05, + "loss": 8.9561, + "mean_token_accuracy": 0.06379008032381535, + "num_tokens": 206025.0, + "step": 115 + }, + { + "entropy": 10.407035160064698, + "epoch": 0.0061723632435768845, + "grad_norm": 1.453125, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9663, + "mean_token_accuracy": 0.05617102049291134, + "num_tokens": 216620.0, + "step": 120 + }, + { + "entropy": 10.3653733253479, + "epoch": 0.006429545045392588, + "grad_norm": 1.375, + "learning_rate": 6.2e-05, + "loss": 8.7968, + "mean_token_accuracy": 0.059108608216047284, + "num_tokens": 225654.0, + "step": 125 + }, + { + "entropy": 10.301421070098877, + "epoch": 0.006686726847208292, + "grad_norm": 1.4609375, + "learning_rate": 6.450000000000001e-05, + "loss": 8.6036, + "mean_token_accuracy": 0.06164416745305061, + "num_tokens": 233967.0, + "step": 130 + }, + { + "entropy": 10.185540676116943, + "epoch": 0.006943908649023995, + "grad_norm": 1.4140625, + "learning_rate": 6.7e-05, + "loss": 8.5469, + "mean_token_accuracy": 0.06072752773761749, + "num_tokens": 241911.0, + "step": 135 + }, + { + "entropy": 10.0550705909729, + "epoch": 0.007201090450839698, + "grad_norm": 1.25, + "learning_rate": 6.950000000000001e-05, + "loss": 8.4323, + "mean_token_accuracy": 0.06439580023288727, + "num_tokens": 250771.0, + "step": 140 + }, + { + "entropy": 9.967238235473634, + "epoch": 0.007458272252655402, + "grad_norm": 1.1171875, + "learning_rate": 7.2e-05, + "loss": 8.3391, + "mean_token_accuracy": 0.06209088861942291, + "num_tokens": 260036.0, + "step": 145 + }, + { + "entropy": 9.832792282104492, + "epoch": 0.007715454054471106, + "grad_norm": 1.1875, + "learning_rate": 7.45e-05, + "loss": 8.2272, + "mean_token_accuracy": 0.06231529638171196, + "num_tokens": 268614.0, + "step": 150 + }, + { + "entropy": 9.642397022247314, + "epoch": 0.00797263585628681, + "grad_norm": 1.0546875, + "learning_rate": 7.7e-05, + "loss": 8.085, + "mean_token_accuracy": 0.06268828995525837, + "num_tokens": 278205.0, + "step": 155 + }, + { + "entropy": 9.471720123291016, + "epoch": 0.008229817658102512, + "grad_norm": 1.109375, + "learning_rate": 7.950000000000001e-05, + "loss": 8.0285, + "mean_token_accuracy": 0.054571619257330894, + "num_tokens": 287369.0, + "step": 160 + }, + { + "entropy": 9.277729606628418, + "epoch": 0.008486999459918217, + "grad_norm": 0.9765625, + "learning_rate": 8.2e-05, + "loss": 7.8389, + "mean_token_accuracy": 0.0658249743282795, + "num_tokens": 295469.0, + "step": 165 + }, + { + "entropy": 9.065653324127197, + "epoch": 0.00874418126173392, + "grad_norm": 0.875, + "learning_rate": 8.450000000000001e-05, + "loss": 7.8802, + "mean_token_accuracy": 0.05946259275078773, + "num_tokens": 304108.0, + "step": 170 + }, + { + "entropy": 8.9242995262146, + "epoch": 0.009001363063549624, + "grad_norm": 0.83203125, + "learning_rate": 8.7e-05, + "loss": 7.7549, + "mean_token_accuracy": 0.06102342195808887, + "num_tokens": 312797.0, + "step": 175 + }, + { + "entropy": 8.724368000030518, + "epoch": 0.009258544865365327, + "grad_norm": 0.89453125, + "learning_rate": 8.95e-05, + "loss": 7.726, + "mean_token_accuracy": 0.05993276461958885, + "num_tokens": 321947.0, + "step": 180 + }, + { + "entropy": 8.550490474700927, + "epoch": 0.00951572666718103, + "grad_norm": 0.859375, + "learning_rate": 9.2e-05, + "loss": 7.7268, + "mean_token_accuracy": 0.06107203662395477, + "num_tokens": 330881.0, + "step": 185 + }, + { + "entropy": 8.48734483718872, + "epoch": 0.009772908468996734, + "grad_norm": 0.8125, + "learning_rate": 9.45e-05, + "loss": 7.6738, + "mean_token_accuracy": 0.06392239518463612, + "num_tokens": 339615.0, + "step": 190 + }, + { + "entropy": 8.382297706604003, + "epoch": 0.010030090270812437, + "grad_norm": 0.9765625, + "learning_rate": 9.7e-05, + "loss": 7.5319, + "mean_token_accuracy": 0.0668424092233181, + "num_tokens": 347445.0, + "step": 195 + }, + { + "entropy": 8.23064022064209, + "epoch": 0.010287272072628141, + "grad_norm": 0.81640625, + "learning_rate": 9.95e-05, + "loss": 7.6527, + "mean_token_accuracy": 0.0642503272742033, + "num_tokens": 356466.0, + "step": 200 + }, + { + "entropy": 8.293260860443116, + "epoch": 0.010544453874443844, + "grad_norm": 0.890625, + "learning_rate": 0.000102, + "loss": 7.6586, + "mean_token_accuracy": 0.06924829706549644, + "num_tokens": 364582.0, + "step": 205 + }, + { + "entropy": 8.233483600616456, + "epoch": 0.010801635676259547, + "grad_norm": 0.87890625, + "learning_rate": 0.00010449999999999999, + "loss": 7.5999, + "mean_token_accuracy": 0.06699038669466972, + "num_tokens": 373816.0, + "step": 210 + }, + { + "entropy": 8.192768096923828, + "epoch": 0.011058817478075252, + "grad_norm": 0.96484375, + "learning_rate": 0.000107, + "loss": 7.6079, + "mean_token_accuracy": 0.06721281111240388, + "num_tokens": 382663.0, + "step": 215 + }, + { + "entropy": 8.15766954421997, + "epoch": 0.011315999279890954, + "grad_norm": 0.875, + "learning_rate": 0.0001095, + "loss": 7.5084, + "mean_token_accuracy": 0.06859233565628528, + "num_tokens": 391146.0, + "step": 220 + }, + { + "entropy": 8.103716373443604, + "epoch": 0.011573181081706659, + "grad_norm": 0.8125, + "learning_rate": 0.000112, + "loss": 7.5845, + "mean_token_accuracy": 0.06810487173497677, + "num_tokens": 400693.0, + "step": 225 + }, + { + "entropy": 8.105987453460694, + "epoch": 0.011830362883522362, + "grad_norm": 1.1171875, + "learning_rate": 0.0001145, + "loss": 7.539, + "mean_token_accuracy": 0.06601319462060928, + "num_tokens": 409706.0, + "step": 230 + }, + { + "entropy": 8.056668090820313, + "epoch": 0.012087544685338066, + "grad_norm": 0.9140625, + "learning_rate": 0.00011700000000000001, + "loss": 7.4696, + "mean_token_accuracy": 0.06857900470495223, + "num_tokens": 418717.0, + "step": 235 + }, + { + "entropy": 8.077108192443848, + "epoch": 0.012344726487153769, + "grad_norm": 1.046875, + "learning_rate": 0.00011949999999999999, + "loss": 7.5335, + "mean_token_accuracy": 0.06780378967523575, + "num_tokens": 428630.0, + "step": 240 + }, + { + "entropy": 8.065593910217284, + "epoch": 0.012601908288969472, + "grad_norm": 0.9609375, + "learning_rate": 0.000122, + "loss": 7.559, + "mean_token_accuracy": 0.06397245228290557, + "num_tokens": 438762.0, + "step": 245 + }, + { + "entropy": 8.016668844223023, + "epoch": 0.012859090090785176, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 7.4803, + "mean_token_accuracy": 0.06500645838677883, + "num_tokens": 447419.0, + "step": 250 + }, + { + "entropy": 8.066792869567871, + "epoch": 0.01311627189260088, + "grad_norm": 0.97265625, + "learning_rate": 0.000127, + "loss": 7.4872, + "mean_token_accuracy": 0.07560092583298683, + "num_tokens": 455818.0, + "step": 255 + }, + { + "entropy": 8.00608172416687, + "epoch": 0.013373453694416584, + "grad_norm": 1.0625, + "learning_rate": 0.0001295, + "loss": 7.4407, + "mean_token_accuracy": 0.0703579068183899, + "num_tokens": 464411.0, + "step": 260 + }, + { + "entropy": 8.006528282165528, + "epoch": 0.013630635496232286, + "grad_norm": 0.95703125, + "learning_rate": 0.000132, + "loss": 7.4791, + "mean_token_accuracy": 0.07310711704194546, + "num_tokens": 473181.0, + "step": 265 + }, + { + "entropy": 7.954403877258301, + "epoch": 0.01388781729804799, + "grad_norm": 0.890625, + "learning_rate": 0.00013450000000000002, + "loss": 7.3802, + "mean_token_accuracy": 0.07561531476676464, + "num_tokens": 481776.0, + "step": 270 + }, + { + "entropy": 7.960335302352905, + "epoch": 0.014144999099863694, + "grad_norm": 0.91796875, + "learning_rate": 0.00013700000000000002, + "loss": 7.3739, + "mean_token_accuracy": 0.07225163355469703, + "num_tokens": 490482.0, + "step": 275 + }, + { + "entropy": 7.908543682098388, + "epoch": 0.014402180901679397, + "grad_norm": 1.046875, + "learning_rate": 0.0001395, + "loss": 7.3373, + "mean_token_accuracy": 0.08000247925519943, + "num_tokens": 498394.0, + "step": 280 + }, + { + "entropy": 7.912304162979126, + "epoch": 0.014659362703495101, + "grad_norm": 1.3671875, + "learning_rate": 0.00014199999999999998, + "loss": 7.3847, + "mean_token_accuracy": 0.07234559133648873, + "num_tokens": 507194.0, + "step": 285 + }, + { + "entropy": 7.905929660797119, + "epoch": 0.014916544505310804, + "grad_norm": 1.0390625, + "learning_rate": 0.0001445, + "loss": 7.3824, + "mean_token_accuracy": 0.07954801470041276, + "num_tokens": 515538.0, + "step": 290 + }, + { + "entropy": 7.906702852249145, + "epoch": 0.015173726307126508, + "grad_norm": 0.98828125, + "learning_rate": 0.000147, + "loss": 7.4258, + "mean_token_accuracy": 0.0705490980297327, + "num_tokens": 524544.0, + "step": 295 + }, + { + "entropy": 7.956319189071655, + "epoch": 0.015430908108942211, + "grad_norm": 0.95703125, + "learning_rate": 0.0001495, + "loss": 7.3581, + "mean_token_accuracy": 0.0792141430079937, + "num_tokens": 533096.0, + "step": 300 + }, + { + "entropy": 7.908858060836792, + "epoch": 0.015688089910757916, + "grad_norm": 0.95703125, + "learning_rate": 0.000152, + "loss": 7.2829, + "mean_token_accuracy": 0.07599962502717972, + "num_tokens": 542254.0, + "step": 305 + }, + { + "entropy": 7.929060173034668, + "epoch": 0.01594527171257362, + "grad_norm": 0.97265625, + "learning_rate": 0.00015450000000000001, + "loss": 7.3804, + "mean_token_accuracy": 0.07816362082958221, + "num_tokens": 550985.0, + "step": 310 + }, + { + "entropy": 7.865027332305909, + "epoch": 0.01620245351438932, + "grad_norm": 1.09375, + "learning_rate": 0.000157, + "loss": 7.3625, + "mean_token_accuracy": 0.07863678447902203, + "num_tokens": 560224.0, + "step": 315 + }, + { + "entropy": 7.856458759307861, + "epoch": 0.016459635316205024, + "grad_norm": 0.98828125, + "learning_rate": 0.0001595, + "loss": 7.2099, + "mean_token_accuracy": 0.0831373617053032, + "num_tokens": 569268.0, + "step": 320 + }, + { + "entropy": 7.8261981964111325, + "epoch": 0.01671681711802073, + "grad_norm": 1.03125, + "learning_rate": 0.000162, + "loss": 7.305, + "mean_token_accuracy": 0.07629284039139747, + "num_tokens": 577876.0, + "step": 325 + }, + { + "entropy": 7.825508499145508, + "epoch": 0.016973998919836433, + "grad_norm": 0.94921875, + "learning_rate": 0.00016450000000000001, + "loss": 7.1964, + "mean_token_accuracy": 0.08476228266954422, + "num_tokens": 586622.0, + "step": 330 + }, + { + "entropy": 7.87431845664978, + "epoch": 0.017231180721652136, + "grad_norm": 0.9609375, + "learning_rate": 0.00016700000000000002, + "loss": 7.3968, + "mean_token_accuracy": 0.07733883932232857, + "num_tokens": 596544.0, + "step": 335 + }, + { + "entropy": 7.786734390258789, + "epoch": 0.01748836252346784, + "grad_norm": 1.140625, + "learning_rate": 0.00016950000000000003, + "loss": 7.2342, + "mean_token_accuracy": 0.07911348566412926, + "num_tokens": 605349.0, + "step": 340 + }, + { + "entropy": 7.809148788452148, + "epoch": 0.01774554432528354, + "grad_norm": 0.98828125, + "learning_rate": 0.00017199999999999998, + "loss": 7.2457, + "mean_token_accuracy": 0.07915201708674431, + "num_tokens": 614266.0, + "step": 345 + }, + { + "entropy": 7.771593856811523, + "epoch": 0.018002726127099248, + "grad_norm": 1.0546875, + "learning_rate": 0.00017449999999999999, + "loss": 7.2829, + "mean_token_accuracy": 0.07773459404706955, + "num_tokens": 622534.0, + "step": 350 + }, + { + "entropy": 7.822271633148193, + "epoch": 0.01825990792891495, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 7.2365, + "mean_token_accuracy": 0.08085938617587089, + "num_tokens": 631838.0, + "step": 355 + }, + { + "entropy": 7.698997259140015, + "epoch": 0.018517089730730654, + "grad_norm": 1.0859375, + "learning_rate": 0.0001795, + "loss": 7.2539, + "mean_token_accuracy": 0.08351444229483604, + "num_tokens": 641386.0, + "step": 360 + }, + { + "entropy": 7.703382873535157, + "epoch": 0.018774271532546356, + "grad_norm": 1.09375, + "learning_rate": 0.000182, + "loss": 7.2384, + "mean_token_accuracy": 0.0824521966278553, + "num_tokens": 650465.0, + "step": 365 + }, + { + "entropy": 7.835447978973389, + "epoch": 0.01903145333436206, + "grad_norm": 1.0546875, + "learning_rate": 0.0001845, + "loss": 7.1401, + "mean_token_accuracy": 0.08636756986379623, + "num_tokens": 659509.0, + "step": 370 + }, + { + "entropy": 7.586853075027466, + "epoch": 0.019288635136177765, + "grad_norm": 1.109375, + "learning_rate": 0.000187, + "loss": 7.1678, + "mean_token_accuracy": 0.08730523958802223, + "num_tokens": 668137.0, + "step": 375 + }, + { + "entropy": 7.862004041671753, + "epoch": 0.019545816937993468, + "grad_norm": 1.078125, + "learning_rate": 0.0001895, + "loss": 7.2499, + "mean_token_accuracy": 0.0831152357161045, + "num_tokens": 677784.0, + "step": 380 + }, + { + "entropy": 7.637575674057007, + "epoch": 0.01980299873980917, + "grad_norm": 1.1953125, + "learning_rate": 0.000192, + "loss": 7.1701, + "mean_token_accuracy": 0.08491914793848991, + "num_tokens": 686088.0, + "step": 385 + }, + { + "entropy": 7.752926158905029, + "epoch": 0.020060180541624874, + "grad_norm": 1.0234375, + "learning_rate": 0.0001945, + "loss": 7.3326, + "mean_token_accuracy": 0.08027631081640721, + "num_tokens": 695131.0, + "step": 390 + }, + { + "entropy": 7.793869876861573, + "epoch": 0.020317362343440577, + "grad_norm": 1.0390625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1152, + "mean_token_accuracy": 0.08675874844193458, + "num_tokens": 703976.0, + "step": 395 + }, + { + "entropy": 7.674239635467529, + "epoch": 0.020574544145256283, + "grad_norm": 1.15625, + "learning_rate": 0.00019950000000000002, + "loss": 7.1607, + "mean_token_accuracy": 0.08738962039351464, + "num_tokens": 712080.0, + "step": 400 + }, + { + "entropy": 7.662798118591309, + "epoch": 0.020831725947071986, + "grad_norm": 1.109375, + "learning_rate": 0.000202, + "loss": 7.2073, + "mean_token_accuracy": 0.08529370948672295, + "num_tokens": 721151.0, + "step": 405 + }, + { + "entropy": 7.703192710876465, + "epoch": 0.02108890774888769, + "grad_norm": 1.03125, + "learning_rate": 0.00020449999999999998, + "loss": 7.2059, + "mean_token_accuracy": 0.08231882154941558, + "num_tokens": 730957.0, + "step": 410 + }, + { + "entropy": 7.6682192325592045, + "epoch": 0.02134608955070339, + "grad_norm": 1.0625, + "learning_rate": 0.000207, + "loss": 7.115, + "mean_token_accuracy": 0.09367254376411438, + "num_tokens": 740054.0, + "step": 415 + }, + { + "entropy": 7.710998058319092, + "epoch": 0.021603271352519094, + "grad_norm": 1.0390625, + "learning_rate": 0.0002095, + "loss": 7.1138, + "mean_token_accuracy": 0.0901214174926281, + "num_tokens": 748576.0, + "step": 420 + }, + { + "entropy": 7.615434312820435, + "epoch": 0.0218604531543348, + "grad_norm": 0.91015625, + "learning_rate": 0.000212, + "loss": 7.1257, + "mean_token_accuracy": 0.08843043595552444, + "num_tokens": 758078.0, + "step": 425 + }, + { + "entropy": 7.6622356414794925, + "epoch": 0.022117634956150503, + "grad_norm": 1.0390625, + "learning_rate": 0.0002145, + "loss": 7.1976, + "mean_token_accuracy": 0.08554179668426513, + "num_tokens": 767041.0, + "step": 430 + }, + { + "entropy": 7.6705575466156, + "epoch": 0.022374816757966206, + "grad_norm": 1.1328125, + "learning_rate": 0.00021700000000000002, + "loss": 7.192, + "mean_token_accuracy": 0.08901726603507995, + "num_tokens": 775675.0, + "step": 435 + }, + { + "entropy": 7.627669334411621, + "epoch": 0.02263199855978191, + "grad_norm": 1.1796875, + "learning_rate": 0.0002195, + "loss": 7.0133, + "mean_token_accuracy": 0.09209411665797233, + "num_tokens": 784105.0, + "step": 440 + }, + { + "entropy": 7.484321117401123, + "epoch": 0.022889180361597615, + "grad_norm": 1.03125, + "learning_rate": 0.000222, + "loss": 6.9712, + "mean_token_accuracy": 0.09117011949419976, + "num_tokens": 792861.0, + "step": 445 + }, + { + "entropy": 7.594349336624146, + "epoch": 0.023146362163413318, + "grad_norm": 1.0625, + "learning_rate": 0.0002245, + "loss": 7.0314, + "mean_token_accuracy": 0.08824475556612014, + "num_tokens": 801642.0, + "step": 450 + }, + { + "entropy": 7.497442388534546, + "epoch": 0.02340354396522902, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.9939, + "mean_token_accuracy": 0.08806813433766365, + "num_tokens": 811105.0, + "step": 455 + }, + { + "entropy": 7.556538200378418, + "epoch": 0.023660725767044723, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.0195, + "mean_token_accuracy": 0.09214109480381012, + "num_tokens": 819989.0, + "step": 460 + }, + { + "entropy": 7.516587781906128, + "epoch": 0.023917907568860426, + "grad_norm": 1.1953125, + "learning_rate": 0.00023200000000000003, + "loss": 7.0303, + "mean_token_accuracy": 0.0912808708846569, + "num_tokens": 829532.0, + "step": 465 + }, + { + "entropy": 7.524700498580932, + "epoch": 0.024175089370676132, + "grad_norm": 1.3046875, + "learning_rate": 0.00023449999999999998, + "loss": 6.9313, + "mean_token_accuracy": 0.09493043571710587, + "num_tokens": 838071.0, + "step": 470 + }, + { + "entropy": 7.6139366149902346, + "epoch": 0.024432271172491835, + "grad_norm": 1.03125, + "learning_rate": 0.000237, + "loss": 7.1399, + "mean_token_accuracy": 0.0876034751534462, + "num_tokens": 848094.0, + "step": 475 + }, + { + "entropy": 7.520268821716309, + "epoch": 0.024689452974307538, + "grad_norm": 1.15625, + "learning_rate": 0.0002395, + "loss": 7.0461, + "mean_token_accuracy": 0.09003157168626785, + "num_tokens": 856585.0, + "step": 480 + }, + { + "entropy": 7.4084981918334964, + "epoch": 0.02494663477612324, + "grad_norm": 1.0, + "learning_rate": 0.000242, + "loss": 7.0064, + "mean_token_accuracy": 0.09524489566683769, + "num_tokens": 865866.0, + "step": 485 + }, + { + "entropy": 7.565576791763306, + "epoch": 0.025203816577938944, + "grad_norm": 1.390625, + "learning_rate": 0.0002445, + "loss": 7.0857, + "mean_token_accuracy": 0.09243087470531464, + "num_tokens": 874963.0, + "step": 490 + }, + { + "entropy": 7.522153425216675, + "epoch": 0.02546099837975465, + "grad_norm": 1.0859375, + "learning_rate": 0.000247, + "loss": 7.0253, + "mean_token_accuracy": 0.09747636616230011, + "num_tokens": 883670.0, + "step": 495 + }, + { + "entropy": 7.411280775070191, + "epoch": 0.025718180181570353, + "grad_norm": 1.234375, + "learning_rate": 0.0002495, + "loss": 6.9456, + "mean_token_accuracy": 0.09364836364984512, + "num_tokens": 892322.0, + "step": 500 + }, + { + "entropy": 7.502190637588501, + "epoch": 0.025975361983386056, + "grad_norm": 0.98828125, + "learning_rate": 0.000252, + "loss": 7.0, + "mean_token_accuracy": 0.09010454788804054, + "num_tokens": 901450.0, + "step": 505 + }, + { + "entropy": 7.450657367706299, + "epoch": 0.02623254378520176, + "grad_norm": 1.0703125, + "learning_rate": 0.0002545, + "loss": 6.9258, + "mean_token_accuracy": 0.0917640596628189, + "num_tokens": 910499.0, + "step": 510 + }, + { + "entropy": 7.4553405284881595, + "epoch": 0.02648972558701746, + "grad_norm": 0.9921875, + "learning_rate": 0.000257, + "loss": 7.042, + "mean_token_accuracy": 0.08597794771194459, + "num_tokens": 920223.0, + "step": 515 + }, + { + "entropy": 7.50772066116333, + "epoch": 0.026746907388833167, + "grad_norm": 1.2265625, + "learning_rate": 0.0002595, + "loss": 7.014, + "mean_token_accuracy": 0.08768303692340851, + "num_tokens": 929414.0, + "step": 520 + }, + { + "entropy": 7.4105640888214115, + "epoch": 0.02700408919064887, + "grad_norm": 1.28125, + "learning_rate": 0.000262, + "loss": 6.98, + "mean_token_accuracy": 0.08690723404288292, + "num_tokens": 938059.0, + "step": 525 + }, + { + "entropy": 7.362936401367188, + "epoch": 0.027261270992464573, + "grad_norm": 1.1875, + "learning_rate": 0.00026450000000000003, + "loss": 7.0251, + "mean_token_accuracy": 0.08964922651648521, + "num_tokens": 946868.0, + "step": 530 + }, + { + "entropy": 7.468600177764893, + "epoch": 0.027518452794280276, + "grad_norm": 1.0703125, + "learning_rate": 0.00026700000000000004, + "loss": 6.867, + "mean_token_accuracy": 0.09712589457631111, + "num_tokens": 954997.0, + "step": 535 + }, + { + "entropy": 7.428448724746704, + "epoch": 0.02777563459609598, + "grad_norm": 1.15625, + "learning_rate": 0.00026950000000000005, + "loss": 6.9816, + "mean_token_accuracy": 0.09053401798009872, + "num_tokens": 964488.0, + "step": 540 + }, + { + "entropy": 7.317347574234009, + "epoch": 0.028032816397911685, + "grad_norm": 1.1015625, + "learning_rate": 0.00027200000000000005, + "loss": 6.8074, + "mean_token_accuracy": 0.10062685832381249, + "num_tokens": 972901.0, + "step": 545 + }, + { + "entropy": 7.45094141960144, + "epoch": 0.028289998199727388, + "grad_norm": 1.0, + "learning_rate": 0.0002745, + "loss": 7.0093, + "mean_token_accuracy": 0.09124675542116165, + "num_tokens": 981922.0, + "step": 550 + }, + { + "entropy": 7.441890525817871, + "epoch": 0.02854718000154309, + "grad_norm": 1.1953125, + "learning_rate": 0.000277, + "loss": 6.9774, + "mean_token_accuracy": 0.09369566291570663, + "num_tokens": 990419.0, + "step": 555 + }, + { + "entropy": 7.304813051223755, + "epoch": 0.028804361803358793, + "grad_norm": 1.125, + "learning_rate": 0.0002795, + "loss": 6.8424, + "mean_token_accuracy": 0.09960516914725304, + "num_tokens": 998236.0, + "step": 560 + }, + { + "entropy": 7.3862227439880375, + "epoch": 0.0290615436051745, + "grad_norm": 1.015625, + "learning_rate": 0.00028199999999999997, + "loss": 6.8905, + "mean_token_accuracy": 0.09915700182318687, + "num_tokens": 1008258.0, + "step": 565 + }, + { + "entropy": 7.355383062362671, + "epoch": 0.029318725406990202, + "grad_norm": 1.09375, + "learning_rate": 0.0002845, + "loss": 6.8729, + "mean_token_accuracy": 0.09238902553915977, + "num_tokens": 1017029.0, + "step": 570 + }, + { + "entropy": 7.315412712097168, + "epoch": 0.029575907208805905, + "grad_norm": 1.1640625, + "learning_rate": 0.000287, + "loss": 6.9067, + "mean_token_accuracy": 0.09177370145916938, + "num_tokens": 1026497.0, + "step": 575 + }, + { + "entropy": 7.337841367721557, + "epoch": 0.029833089010621608, + "grad_norm": 1.234375, + "learning_rate": 0.0002895, + "loss": 6.8092, + "mean_token_accuracy": 0.10336045101284981, + "num_tokens": 1034728.0, + "step": 580 + }, + { + "entropy": 7.256781911849975, + "epoch": 0.03009027081243731, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 6.8645, + "mean_token_accuracy": 0.09807764887809753, + "num_tokens": 1043556.0, + "step": 585 + }, + { + "entropy": 7.315465259552002, + "epoch": 0.030347452614253017, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 6.7914, + "mean_token_accuracy": 0.10462642684578896, + "num_tokens": 1053449.0, + "step": 590 + }, + { + "entropy": 7.294723844528198, + "epoch": 0.03060463441606872, + "grad_norm": 1.25, + "learning_rate": 0.000297, + "loss": 6.8701, + "mean_token_accuracy": 0.09261535704135895, + "num_tokens": 1062691.0, + "step": 595 + }, + { + "entropy": 7.328425025939941, + "epoch": 0.030861816217884423, + "grad_norm": 1.0703125, + "learning_rate": 0.0002995, + "loss": 6.8732, + "mean_token_accuracy": 0.09672143906354905, + "num_tokens": 1072194.0, + "step": 600 + }, + { + "entropy": 7.280484533309936, + "epoch": 0.031118998019700125, + "grad_norm": 1.109375, + "learning_rate": 0.000302, + "loss": 6.7832, + "mean_token_accuracy": 0.09872276112437248, + "num_tokens": 1080781.0, + "step": 605 + }, + { + "entropy": 7.2788474559783936, + "epoch": 0.03137617982151583, + "grad_norm": 1.09375, + "learning_rate": 0.0003045, + "loss": 6.9191, + "mean_token_accuracy": 0.09485599771142006, + "num_tokens": 1090048.0, + "step": 610 + }, + { + "entropy": 7.34011402130127, + "epoch": 0.03163336162333153, + "grad_norm": 1.03125, + "learning_rate": 0.000307, + "loss": 6.9368, + "mean_token_accuracy": 0.09523111060261727, + "num_tokens": 1100121.0, + "step": 615 + }, + { + "entropy": 7.326197099685669, + "epoch": 0.03189054342514724, + "grad_norm": 1.1171875, + "learning_rate": 0.0003095, + "loss": 6.8036, + "mean_token_accuracy": 0.09568134695291519, + "num_tokens": 1108569.0, + "step": 620 + }, + { + "entropy": 7.213407182693482, + "epoch": 0.032147725226962943, + "grad_norm": 1.171875, + "learning_rate": 0.000312, + "loss": 6.776, + "mean_token_accuracy": 0.09914244189858437, + "num_tokens": 1118247.0, + "step": 625 + }, + { + "entropy": 7.210325479507446, + "epoch": 0.03240490702877864, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 6.7999, + "mean_token_accuracy": 0.09887302219867707, + "num_tokens": 1126951.0, + "step": 630 + }, + { + "entropy": 7.209123611450195, + "epoch": 0.03266208883059435, + "grad_norm": 1.1953125, + "learning_rate": 0.000317, + "loss": 6.7651, + "mean_token_accuracy": 0.10773184821009636, + "num_tokens": 1135390.0, + "step": 635 + }, + { + "entropy": 7.2418413162231445, + "epoch": 0.03291927063241005, + "grad_norm": 1.171875, + "learning_rate": 0.0003195, + "loss": 6.8057, + "mean_token_accuracy": 0.09772193506360054, + "num_tokens": 1143911.0, + "step": 640 + }, + { + "entropy": 7.288219833374024, + "epoch": 0.033176452434225755, + "grad_norm": 1.2265625, + "learning_rate": 0.000322, + "loss": 6.7833, + "mean_token_accuracy": 0.10312128961086273, + "num_tokens": 1152957.0, + "step": 645 + }, + { + "entropy": 7.144729995727539, + "epoch": 0.03343363423604146, + "grad_norm": 0.96484375, + "learning_rate": 0.00032450000000000003, + "loss": 6.7073, + "mean_token_accuracy": 0.10490344762802124, + "num_tokens": 1161911.0, + "step": 650 + }, + { + "entropy": 7.214617156982422, + "epoch": 0.03369081603785716, + "grad_norm": 1.203125, + "learning_rate": 0.00032700000000000003, + "loss": 6.7621, + "mean_token_accuracy": 0.10395861864089966, + "num_tokens": 1170932.0, + "step": 655 + }, + { + "entropy": 7.226040458679199, + "epoch": 0.03394799783967287, + "grad_norm": 1.015625, + "learning_rate": 0.00032950000000000004, + "loss": 6.8979, + "mean_token_accuracy": 0.09301602616906166, + "num_tokens": 1180417.0, + "step": 660 + }, + { + "entropy": 7.148654270172119, + "epoch": 0.034205179641488566, + "grad_norm": 1.1328125, + "learning_rate": 0.00033200000000000005, + "loss": 6.7629, + "mean_token_accuracy": 0.09860587194561958, + "num_tokens": 1189153.0, + "step": 665 + }, + { + "entropy": 7.214554643630981, + "epoch": 0.03446236144330427, + "grad_norm": 1.2109375, + "learning_rate": 0.00033450000000000005, + "loss": 6.7476, + "mean_token_accuracy": 0.1043582171201706, + "num_tokens": 1197903.0, + "step": 670 + }, + { + "entropy": 7.1135680198669435, + "epoch": 0.03471954324511998, + "grad_norm": 1.046875, + "learning_rate": 0.000337, + "loss": 6.7435, + "mean_token_accuracy": 0.10275317579507828, + "num_tokens": 1207310.0, + "step": 675 + }, + { + "entropy": 7.197217321395874, + "epoch": 0.03497672504693568, + "grad_norm": 1.1953125, + "learning_rate": 0.0003395, + "loss": 6.7117, + "mean_token_accuracy": 0.10364129021763802, + "num_tokens": 1215577.0, + "step": 680 + }, + { + "entropy": 7.160997724533081, + "epoch": 0.035233906848751384, + "grad_norm": 1.2578125, + "learning_rate": 0.000342, + "loss": 6.801, + "mean_token_accuracy": 0.10323198661208152, + "num_tokens": 1223906.0, + "step": 685 + }, + { + "entropy": 7.1171308040618895, + "epoch": 0.03549108865056708, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 6.7434, + "mean_token_accuracy": 0.10217863768339157, + "num_tokens": 1232689.0, + "step": 690 + }, + { + "entropy": 7.243052577972412, + "epoch": 0.03574827045238279, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 6.777, + "mean_token_accuracy": 0.10172305777668952, + "num_tokens": 1241079.0, + "step": 695 + }, + { + "entropy": 7.0958874225616455, + "epoch": 0.036005452254198496, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.6994, + "mean_token_accuracy": 0.10428043976426124, + "num_tokens": 1249540.0, + "step": 700 + }, + { + "entropy": 7.236631059646607, + "epoch": 0.036262634056014195, + "grad_norm": 1.15625, + "learning_rate": 0.000352, + "loss": 6.767, + "mean_token_accuracy": 0.10423633679747582, + "num_tokens": 1257823.0, + "step": 705 + }, + { + "entropy": 7.162586879730225, + "epoch": 0.0365198158578299, + "grad_norm": 1.15625, + "learning_rate": 0.0003545, + "loss": 6.7752, + "mean_token_accuracy": 0.10328136906027793, + "num_tokens": 1267242.0, + "step": 710 + }, + { + "entropy": 7.095451688766479, + "epoch": 0.0367769976596456, + "grad_norm": 1.1015625, + "learning_rate": 0.000357, + "loss": 6.6616, + "mean_token_accuracy": 0.10539852529764175, + "num_tokens": 1275942.0, + "step": 715 + }, + { + "entropy": 7.087832736968994, + "epoch": 0.03703417946146131, + "grad_norm": 1.1015625, + "learning_rate": 0.0003595, + "loss": 6.716, + "mean_token_accuracy": 0.10562722086906433, + "num_tokens": 1284840.0, + "step": 720 + }, + { + "entropy": 7.123103380203247, + "epoch": 0.03729136126327701, + "grad_norm": 1.1953125, + "learning_rate": 0.000362, + "loss": 6.6864, + "mean_token_accuracy": 0.10260284543037415, + "num_tokens": 1293592.0, + "step": 725 + }, + { + "entropy": 7.171104860305786, + "epoch": 0.03754854306509271, + "grad_norm": 1.15625, + "learning_rate": 0.0003645, + "loss": 6.8006, + "mean_token_accuracy": 0.10065393671393394, + "num_tokens": 1301903.0, + "step": 730 + }, + { + "entropy": 7.110880374908447, + "epoch": 0.03780572486690842, + "grad_norm": 1.265625, + "learning_rate": 0.000367, + "loss": 6.6262, + "mean_token_accuracy": 0.105719206482172, + "num_tokens": 1310230.0, + "step": 735 + }, + { + "entropy": 7.178726625442505, + "epoch": 0.03806290666872412, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.7676, + "mean_token_accuracy": 0.10490798503160477, + "num_tokens": 1320029.0, + "step": 740 + }, + { + "entropy": 7.001174449920654, + "epoch": 0.038320088470539825, + "grad_norm": 1.0703125, + "learning_rate": 0.000372, + "loss": 6.6133, + "mean_token_accuracy": 0.10703234896063804, + "num_tokens": 1329155.0, + "step": 745 + }, + { + "entropy": 7.125448083877563, + "epoch": 0.03857727027235553, + "grad_norm": 1.1484375, + "learning_rate": 0.0003745, + "loss": 6.8029, + "mean_token_accuracy": 0.1019430361688137, + "num_tokens": 1337958.0, + "step": 750 + }, + { + "entropy": 7.109465599060059, + "epoch": 0.03883445207417123, + "grad_norm": 1.3125, + "learning_rate": 0.000377, + "loss": 6.7375, + "mean_token_accuracy": 0.09966553151607513, + "num_tokens": 1347105.0, + "step": 755 + }, + { + "entropy": 7.161317777633667, + "epoch": 0.039091633875986936, + "grad_norm": 1.234375, + "learning_rate": 0.0003795, + "loss": 6.6791, + "mean_token_accuracy": 0.10060147866606713, + "num_tokens": 1356161.0, + "step": 760 + }, + { + "entropy": 6.9970433712005615, + "epoch": 0.039348815677802636, + "grad_norm": 1.140625, + "learning_rate": 0.000382, + "loss": 6.6891, + "mean_token_accuracy": 0.10932381451129913, + "num_tokens": 1365291.0, + "step": 765 + }, + { + "entropy": 7.0630707263946535, + "epoch": 0.03960599747961834, + "grad_norm": 1.2578125, + "learning_rate": 0.0003845, + "loss": 6.6481, + "mean_token_accuracy": 0.1059026412665844, + "num_tokens": 1374057.0, + "step": 770 + }, + { + "entropy": 7.118219041824341, + "epoch": 0.03986317928143405, + "grad_norm": 1.296875, + "learning_rate": 0.00038700000000000003, + "loss": 6.6895, + "mean_token_accuracy": 0.09991606175899506, + "num_tokens": 1383204.0, + "step": 775 + }, + { + "entropy": 7.0793726444244385, + "epoch": 0.04012036108324975, + "grad_norm": 1.2421875, + "learning_rate": 0.00038950000000000003, + "loss": 6.7114, + "mean_token_accuracy": 0.1018392451107502, + "num_tokens": 1392303.0, + "step": 780 + }, + { + "entropy": 7.041213703155518, + "epoch": 0.040377542885065454, + "grad_norm": 1.0546875, + "learning_rate": 0.00039200000000000004, + "loss": 6.6789, + "mean_token_accuracy": 0.10870900377631187, + "num_tokens": 1401955.0, + "step": 785 + }, + { + "entropy": 7.127471685409546, + "epoch": 0.04063472468688115, + "grad_norm": 1.1796875, + "learning_rate": 0.00039450000000000005, + "loss": 6.6934, + "mean_token_accuracy": 0.10036104544997215, + "num_tokens": 1410467.0, + "step": 790 + }, + { + "entropy": 6.975720405578613, + "epoch": 0.04089190648869686, + "grad_norm": 1.0625, + "learning_rate": 0.00039700000000000005, + "loss": 6.6748, + "mean_token_accuracy": 0.09731148779392243, + "num_tokens": 1420337.0, + "step": 795 + }, + { + "entropy": 7.059706926345825, + "epoch": 0.041149088290512566, + "grad_norm": 1.078125, + "learning_rate": 0.0003995, + "loss": 6.6711, + "mean_token_accuracy": 0.10144198536872864, + "num_tokens": 1429453.0, + "step": 800 + }, + { + "entropy": 7.094644546508789, + "epoch": 0.041406270092328265, + "grad_norm": 1.1171875, + "learning_rate": 0.000402, + "loss": 6.6208, + "mean_token_accuracy": 0.10604123547673225, + "num_tokens": 1438417.0, + "step": 805 + }, + { + "entropy": 6.986465740203857, + "epoch": 0.04166345189414397, + "grad_norm": 1.40625, + "learning_rate": 0.0004045, + "loss": 6.6667, + "mean_token_accuracy": 0.10473878160119057, + "num_tokens": 1446480.0, + "step": 810 + }, + { + "entropy": 6.946633005142212, + "epoch": 0.04192063369595967, + "grad_norm": 1.1171875, + "learning_rate": 0.00040699999999999997, + "loss": 6.6306, + "mean_token_accuracy": 0.10496868267655372, + "num_tokens": 1455102.0, + "step": 815 + }, + { + "entropy": 7.14404935836792, + "epoch": 0.04217781549777538, + "grad_norm": 1.1015625, + "learning_rate": 0.0004095, + "loss": 6.6538, + "mean_token_accuracy": 0.10508396551012993, + "num_tokens": 1463839.0, + "step": 820 + }, + { + "entropy": 7.024435377120971, + "epoch": 0.04243499729959108, + "grad_norm": 1.15625, + "learning_rate": 0.000412, + "loss": 6.6836, + "mean_token_accuracy": 0.10788170769810676, + "num_tokens": 1472806.0, + "step": 825 + }, + { + "entropy": 6.979895305633545, + "epoch": 0.04269217910140678, + "grad_norm": 1.1015625, + "learning_rate": 0.0004145, + "loss": 6.6016, + "mean_token_accuracy": 0.10319365486502648, + "num_tokens": 1481707.0, + "step": 830 + }, + { + "entropy": 6.948284530639649, + "epoch": 0.04294936090322249, + "grad_norm": 1.1796875, + "learning_rate": 0.000417, + "loss": 6.6068, + "mean_token_accuracy": 0.10952205657958984, + "num_tokens": 1491057.0, + "step": 835 + }, + { + "entropy": 6.963069152832031, + "epoch": 0.04320654270503819, + "grad_norm": 1.0234375, + "learning_rate": 0.0004195, + "loss": 6.5666, + "mean_token_accuracy": 0.10177317038178443, + "num_tokens": 1500331.0, + "step": 840 + }, + { + "entropy": 6.964898347854614, + "epoch": 0.043463724506853894, + "grad_norm": 1.0859375, + "learning_rate": 0.000422, + "loss": 6.6376, + "mean_token_accuracy": 0.10519776120781898, + "num_tokens": 1509051.0, + "step": 845 + }, + { + "entropy": 7.032815408706665, + "epoch": 0.0437209063086696, + "grad_norm": 1.2421875, + "learning_rate": 0.0004245, + "loss": 6.5931, + "mean_token_accuracy": 0.10714114159345627, + "num_tokens": 1517082.0, + "step": 850 + }, + { + "entropy": 6.869009304046631, + "epoch": 0.0439780881104853, + "grad_norm": 1.203125, + "learning_rate": 0.000427, + "loss": 6.5338, + "mean_token_accuracy": 0.11201286613941193, + "num_tokens": 1525498.0, + "step": 855 + }, + { + "entropy": 6.827907609939575, + "epoch": 0.044235269912301006, + "grad_norm": 1.140625, + "learning_rate": 0.0004295, + "loss": 6.4978, + "mean_token_accuracy": 0.11273056790232658, + "num_tokens": 1534476.0, + "step": 860 + }, + { + "entropy": 6.958985805511475, + "epoch": 0.04449245171411671, + "grad_norm": 1.15625, + "learning_rate": 0.000432, + "loss": 6.5896, + "mean_token_accuracy": 0.10771357268095016, + "num_tokens": 1542905.0, + "step": 865 + }, + { + "entropy": 6.942825794219971, + "epoch": 0.04474963351593241, + "grad_norm": 1.109375, + "learning_rate": 0.0004345, + "loss": 6.583, + "mean_token_accuracy": 0.10546278730034828, + "num_tokens": 1551763.0, + "step": 870 + }, + { + "entropy": 6.906496191024781, + "epoch": 0.04500681531774812, + "grad_norm": 1.109375, + "learning_rate": 0.000437, + "loss": 6.5085, + "mean_token_accuracy": 0.11341241300106049, + "num_tokens": 1560520.0, + "step": 875 + }, + { + "entropy": 6.904255485534668, + "epoch": 0.04526399711956382, + "grad_norm": 1.0625, + "learning_rate": 0.0004395, + "loss": 6.4871, + "mean_token_accuracy": 0.11152468100190163, + "num_tokens": 1569401.0, + "step": 880 + }, + { + "entropy": 6.922533941268921, + "epoch": 0.045521178921379524, + "grad_norm": 1.046875, + "learning_rate": 0.000442, + "loss": 6.5564, + "mean_token_accuracy": 0.10919757708907127, + "num_tokens": 1578440.0, + "step": 885 + }, + { + "entropy": 6.789845991134643, + "epoch": 0.04577836072319523, + "grad_norm": 1.234375, + "learning_rate": 0.0004445, + "loss": 6.4462, + "mean_token_accuracy": 0.11144870221614837, + "num_tokens": 1587551.0, + "step": 890 + }, + { + "entropy": 6.944276809692383, + "epoch": 0.04603554252501093, + "grad_norm": 1.1875, + "learning_rate": 0.000447, + "loss": 6.6154, + "mean_token_accuracy": 0.10818377807736397, + "num_tokens": 1596314.0, + "step": 895 + }, + { + "entropy": 6.900253582000732, + "epoch": 0.046292724326826636, + "grad_norm": 1.1953125, + "learning_rate": 0.00044950000000000003, + "loss": 6.4889, + "mean_token_accuracy": 0.1112966388463974, + "num_tokens": 1605025.0, + "step": 900 + }, + { + "entropy": 6.905750894546509, + "epoch": 0.046549906128642335, + "grad_norm": 1.2265625, + "learning_rate": 0.00045200000000000004, + "loss": 6.5348, + "mean_token_accuracy": 0.10826415568590164, + "num_tokens": 1613295.0, + "step": 905 + }, + { + "entropy": 6.862349224090576, + "epoch": 0.04680708793045804, + "grad_norm": 1.328125, + "learning_rate": 0.00045450000000000004, + "loss": 6.5131, + "mean_token_accuracy": 0.1080511450767517, + "num_tokens": 1621865.0, + "step": 910 + }, + { + "entropy": 6.87268099784851, + "epoch": 0.04706426973227375, + "grad_norm": 1.09375, + "learning_rate": 0.00045700000000000005, + "loss": 6.517, + "mean_token_accuracy": 0.11334388554096222, + "num_tokens": 1631036.0, + "step": 915 + }, + { + "entropy": 6.960796642303467, + "epoch": 0.04732145153408945, + "grad_norm": 1.1640625, + "learning_rate": 0.00045950000000000006, + "loss": 6.6083, + "mean_token_accuracy": 0.10900305211544037, + "num_tokens": 1640311.0, + "step": 920 + }, + { + "entropy": 6.877505731582642, + "epoch": 0.04757863333590515, + "grad_norm": 1.2578125, + "learning_rate": 0.000462, + "loss": 6.5707, + "mean_token_accuracy": 0.11122839301824569, + "num_tokens": 1648651.0, + "step": 925 + }, + { + "entropy": 6.814219570159912, + "epoch": 0.04783581513772085, + "grad_norm": 1.2109375, + "learning_rate": 0.0004645, + "loss": 6.5091, + "mean_token_accuracy": 0.11311314180493355, + "num_tokens": 1657493.0, + "step": 930 + }, + { + "entropy": 6.919810724258423, + "epoch": 0.04809299693953656, + "grad_norm": 1.203125, + "learning_rate": 0.000467, + "loss": 6.5672, + "mean_token_accuracy": 0.10320627093315124, + "num_tokens": 1666909.0, + "step": 935 + }, + { + "entropy": 6.835229587554932, + "epoch": 0.048350178741352265, + "grad_norm": 1.109375, + "learning_rate": 0.0004695, + "loss": 6.5857, + "mean_token_accuracy": 0.10411025136709214, + "num_tokens": 1676071.0, + "step": 940 + }, + { + "entropy": 6.990052223205566, + "epoch": 0.048607360543167964, + "grad_norm": 1.1484375, + "learning_rate": 0.000472, + "loss": 6.6305, + "mean_token_accuracy": 0.10452140420675278, + "num_tokens": 1685240.0, + "step": 945 + }, + { + "entropy": 6.916949987411499, + "epoch": 0.04886454234498367, + "grad_norm": 1.078125, + "learning_rate": 0.0004745, + "loss": 6.5346, + "mean_token_accuracy": 0.117493636906147, + "num_tokens": 1694441.0, + "step": 950 + }, + { + "entropy": 6.721475076675415, + "epoch": 0.04912172414679937, + "grad_norm": 1.171875, + "learning_rate": 0.000477, + "loss": 6.4578, + "mean_token_accuracy": 0.1129125975072384, + "num_tokens": 1702925.0, + "step": 955 + }, + { + "entropy": 6.895248603820801, + "epoch": 0.049378905948615076, + "grad_norm": 1.125, + "learning_rate": 0.0004795, + "loss": 6.4835, + "mean_token_accuracy": 0.10699952915310859, + "num_tokens": 1711708.0, + "step": 960 + }, + { + "entropy": 6.799575614929199, + "epoch": 0.04963608775043078, + "grad_norm": 1.21875, + "learning_rate": 0.000482, + "loss": 6.4901, + "mean_token_accuracy": 0.10597067773342132, + "num_tokens": 1720543.0, + "step": 965 + }, + { + "entropy": 6.862289619445801, + "epoch": 0.04989326955224648, + "grad_norm": 1.171875, + "learning_rate": 0.0004845, + "loss": 6.4988, + "mean_token_accuracy": 0.11304299309849739, + "num_tokens": 1729776.0, + "step": 970 + }, + { + "entropy": 6.8804943561553955, + "epoch": 0.05015045135406219, + "grad_norm": 1.171875, + "learning_rate": 0.000487, + "loss": 6.4822, + "mean_token_accuracy": 0.11637242883443832, + "num_tokens": 1738249.0, + "step": 975 + }, + { + "entropy": 6.828695917129517, + "epoch": 0.05040763315587789, + "grad_norm": 1.171875, + "learning_rate": 0.0004895, + "loss": 6.5063, + "mean_token_accuracy": 0.11184739843010902, + "num_tokens": 1747262.0, + "step": 980 + }, + { + "entropy": 6.891150426864624, + "epoch": 0.050664814957693594, + "grad_norm": 1.2890625, + "learning_rate": 0.000492, + "loss": 6.5072, + "mean_token_accuracy": 0.11530979126691818, + "num_tokens": 1755320.0, + "step": 985 + }, + { + "entropy": 6.7496922492980955, + "epoch": 0.0509219967595093, + "grad_norm": 1.078125, + "learning_rate": 0.0004945, + "loss": 6.5038, + "mean_token_accuracy": 0.11211839094758033, + "num_tokens": 1763798.0, + "step": 990 + }, + { + "entropy": 6.788990116119384, + "epoch": 0.051179178561325, + "grad_norm": 1.1484375, + "learning_rate": 0.000497, + "loss": 6.4671, + "mean_token_accuracy": 0.11327328234910965, + "num_tokens": 1773862.0, + "step": 995 + }, + { + "entropy": 6.837374210357666, + "epoch": 0.051436360363140705, + "grad_norm": 1.0078125, + "learning_rate": 0.0004995, + "loss": 6.5248, + "mean_token_accuracy": 0.11146914437413216, + "num_tokens": 1783552.0, + "step": 1000 + }, + { + "entropy": 6.746343898773193, + "epoch": 0.051693542164956405, + "grad_norm": 1.03125, + "learning_rate": 0.000499998026082006, + "loss": 6.426, + "mean_token_accuracy": 0.11493942067027092, + "num_tokens": 1792245.0, + "step": 1005 + }, + { + "entropy": 6.774056434631348, + "epoch": 0.05195072396677211, + "grad_norm": 1.140625, + "learning_rate": 0.0004999900070995136, + "loss": 6.5069, + "mean_token_accuracy": 0.11212562620639802, + "num_tokens": 1800813.0, + "step": 1010 + }, + { + "entropy": 6.852898216247558, + "epoch": 0.05220790576858782, + "grad_norm": 1.0625, + "learning_rate": 0.0004999758199023239, + "loss": 6.5207, + "mean_token_accuracy": 0.11174971088767052, + "num_tokens": 1809671.0, + "step": 1015 + }, + { + "entropy": 6.741954612731933, + "epoch": 0.05246508757040352, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999554648793858, + "loss": 6.4463, + "mean_token_accuracy": 0.11097860932350159, + "num_tokens": 1817968.0, + "step": 1020 + }, + { + "entropy": 6.815918350219727, + "epoch": 0.05272226937221922, + "grad_norm": 1.09375, + "learning_rate": 0.0004999289425887425, + "loss": 6.529, + "mean_token_accuracy": 0.10783923268318177, + "num_tokens": 1826302.0, + "step": 1025 + }, + { + "entropy": 6.708252668380737, + "epoch": 0.05297945117403492, + "grad_norm": 1.109375, + "learning_rate": 0.0004998962537575161, + "loss": 6.4088, + "mean_token_accuracy": 0.11643101274967194, + "num_tokens": 1836008.0, + "step": 1030 + }, + { + "entropy": 6.737126874923706, + "epoch": 0.05323663297585063, + "grad_norm": 1.1484375, + "learning_rate": 0.0004998573992818874, + "loss": 6.4282, + "mean_token_accuracy": 0.11566728353500366, + "num_tokens": 1844730.0, + "step": 1035 + }, + { + "entropy": 6.724181604385376, + "epoch": 0.053493814777666335, + "grad_norm": 1.15625, + "learning_rate": 0.0004998123802270715, + "loss": 6.402, + "mean_token_accuracy": 0.11093823388218879, + "num_tokens": 1853186.0, + "step": 1040 + }, + { + "entropy": 6.778470802307129, + "epoch": 0.053750996579482034, + "grad_norm": 1.21875, + "learning_rate": 0.0004997611978272886, + "loss": 6.376, + "mean_token_accuracy": 0.1124820165336132, + "num_tokens": 1861579.0, + "step": 1045 + }, + { + "entropy": 6.778669786453247, + "epoch": 0.05400817838129774, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997038534857298, + "loss": 6.5295, + "mean_token_accuracy": 0.1051288291811943, + "num_tokens": 1871948.0, + "step": 1050 + }, + { + "entropy": 6.779291105270386, + "epoch": 0.05426536018311344, + "grad_norm": 1.140625, + "learning_rate": 0.0004996403487745194, + "loss": 6.4291, + "mean_token_accuracy": 0.11674032881855964, + "num_tokens": 1880142.0, + "step": 1055 + }, + { + "entropy": 6.749887180328369, + "epoch": 0.054522541984929146, + "grad_norm": 1.078125, + "learning_rate": 0.000499570685434671, + "loss": 6.4415, + "mean_token_accuracy": 0.10835661590099335, + "num_tokens": 1888929.0, + "step": 1060 + }, + { + "entropy": 6.763294887542725, + "epoch": 0.05477972378674485, + "grad_norm": 1.1796875, + "learning_rate": 0.0004994948653760405, + "loss": 6.4847, + "mean_token_accuracy": 0.10644253864884376, + "num_tokens": 1897982.0, + "step": 1065 + }, + { + "entropy": 6.66923336982727, + "epoch": 0.05503690558856055, + "grad_norm": 1.15625, + "learning_rate": 0.0004994128906772729, + "loss": 6.3776, + "mean_token_accuracy": 0.11694736555218696, + "num_tokens": 1906583.0, + "step": 1070 + }, + { + "entropy": 6.752908086776733, + "epoch": 0.05529408739037626, + "grad_norm": 1.1328125, + "learning_rate": 0.000499324763585746, + "loss": 6.4433, + "mean_token_accuracy": 0.11435103714466095, + "num_tokens": 1915457.0, + "step": 1075 + }, + { + "entropy": 6.66996021270752, + "epoch": 0.05555126919219196, + "grad_norm": 1.0546875, + "learning_rate": 0.0004992304865175085, + "loss": 6.3785, + "mean_token_accuracy": 0.12019199803471566, + "num_tokens": 1923802.0, + "step": 1080 + }, + { + "entropy": 6.735610485076904, + "epoch": 0.05580845099400766, + "grad_norm": 1.0234375, + "learning_rate": 0.0004991300620572138, + "loss": 6.3917, + "mean_token_accuracy": 0.11757480353116989, + "num_tokens": 1933097.0, + "step": 1085 + }, + { + "entropy": 6.72240138053894, + "epoch": 0.05606563279582337, + "grad_norm": 1.1015625, + "learning_rate": 0.0004990234929580494, + "loss": 6.3646, + "mean_token_accuracy": 0.11228772699832916, + "num_tokens": 1942240.0, + "step": 1090 + }, + { + "entropy": 6.5773022174835205, + "epoch": 0.05632281459763907, + "grad_norm": 1.1171875, + "learning_rate": 0.0004989107821416609, + "loss": 6.3542, + "mean_token_accuracy": 0.11520460173487664, + "num_tokens": 1950501.0, + "step": 1095 + }, + { + "entropy": 6.835616827011108, + "epoch": 0.056579996399454775, + "grad_norm": 1.2421875, + "learning_rate": 0.0004987919326980723, + "loss": 6.4121, + "mean_token_accuracy": 0.11566629931330681, + "num_tokens": 1958621.0, + "step": 1100 + }, + { + "entropy": 6.723128461837769, + "epoch": 0.05683717820127048, + "grad_norm": 1.0625, + "learning_rate": 0.0004986669478856011, + "loss": 6.5071, + "mean_token_accuracy": 0.11123462915420532, + "num_tokens": 1966836.0, + "step": 1105 + }, + { + "entropy": 6.7716064453125, + "epoch": 0.05709436000308618, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985358311307688, + "loss": 6.4827, + "mean_token_accuracy": 0.11127110049128533, + "num_tokens": 1976046.0, + "step": 1110 + }, + { + "entropy": 6.752973651885986, + "epoch": 0.05735154180490189, + "grad_norm": 1.1171875, + "learning_rate": 0.0004983985860282081, + "loss": 6.4645, + "mean_token_accuracy": 0.11258459836244583, + "num_tokens": 1984074.0, + "step": 1115 + }, + { + "entropy": 6.730236387252807, + "epoch": 0.057608723606717586, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982552163405623, + "loss": 6.539, + "mean_token_accuracy": 0.11384548544883728, + "num_tokens": 1992898.0, + "step": 1120 + }, + { + "entropy": 6.832723760604859, + "epoch": 0.05786590540853329, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981057259983839, + "loss": 6.4669, + "mean_token_accuracy": 0.11225469931960105, + "num_tokens": 2002390.0, + "step": 1125 + }, + { + "entropy": 6.657161140441895, + "epoch": 0.058123087210349, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979501191000262, + "loss": 6.3538, + "mean_token_accuracy": 0.1199690505862236, + "num_tokens": 2011499.0, + "step": 1130 + }, + { + "entropy": 6.6502784252166744, + "epoch": 0.0583802690121647, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977883999115311, + "loss": 6.4782, + "mean_token_accuracy": 0.11357165277004241, + "num_tokens": 2021336.0, + "step": 1135 + }, + { + "entropy": 6.731290435791015, + "epoch": 0.058637450813980405, + "grad_norm": 1.140625, + "learning_rate": 0.0004976205728665113, + "loss": 6.3638, + "mean_token_accuracy": 0.11489428207278252, + "num_tokens": 2029706.0, + "step": 1140 + }, + { + "entropy": 6.830005741119384, + "epoch": 0.058894632615796104, + "grad_norm": 1.171875, + "learning_rate": 0.0004974466425660307, + "loss": 6.5844, + "mean_token_accuracy": 0.10661658570170403, + "num_tokens": 2038915.0, + "step": 1145 + }, + { + "entropy": 6.701237726211548, + "epoch": 0.05915181441761181, + "grad_norm": 1.09375, + "learning_rate": 0.0004972666137784759, + "loss": 6.418, + "mean_token_accuracy": 0.11196302473545075, + "num_tokens": 2047661.0, + "step": 1150 + }, + { + "entropy": 6.637448024749756, + "epoch": 0.059408996219427516, + "grad_norm": 1.1171875, + "learning_rate": 0.0004970804914394271, + "loss": 6.4053, + "mean_token_accuracy": 0.11128832325339318, + "num_tokens": 2056768.0, + "step": 1155 + }, + { + "entropy": 6.7576159000396725, + "epoch": 0.059666178021243216, + "grad_norm": 1.0625, + "learning_rate": 0.0004968882806515225, + "loss": 6.4509, + "mean_token_accuracy": 0.11101424172520638, + "num_tokens": 2066862.0, + "step": 1160 + }, + { + "entropy": 6.65157413482666, + "epoch": 0.05992335982305892, + "grad_norm": 1.1328125, + "learning_rate": 0.0004966899866843177, + "loss": 6.2771, + "mean_token_accuracy": 0.11530844420194626, + "num_tokens": 2075794.0, + "step": 1165 + }, + { + "entropy": 6.693396663665771, + "epoch": 0.06018054162487462, + "grad_norm": 1.1171875, + "learning_rate": 0.000496485614974142, + "loss": 6.4464, + "mean_token_accuracy": 0.11457487121224404, + "num_tokens": 2084806.0, + "step": 1170 + }, + { + "entropy": 6.578125905990601, + "epoch": 0.06043772342669033, + "grad_norm": 1.0, + "learning_rate": 0.0004962751711239492, + "loss": 6.3015, + "mean_token_accuracy": 0.11791201233863831, + "num_tokens": 2093884.0, + "step": 1175 + }, + { + "entropy": 6.601912546157837, + "epoch": 0.060694905228506034, + "grad_norm": 1.1015625, + "learning_rate": 0.0004960586609031636, + "loss": 6.2546, + "mean_token_accuracy": 0.12269692420959473, + "num_tokens": 2103716.0, + "step": 1180 + }, + { + "entropy": 6.633868169784546, + "epoch": 0.06095208703032173, + "grad_norm": 1.15625, + "learning_rate": 0.0004958360902475224, + "loss": 6.3092, + "mean_token_accuracy": 0.11640048250555993, + "num_tokens": 2113627.0, + "step": 1185 + }, + { + "entropy": 6.588856792449951, + "epoch": 0.06120926883213744, + "grad_norm": 1.2109375, + "learning_rate": 0.0004956074652589125, + "loss": 6.2842, + "mean_token_accuracy": 0.1199034109711647, + "num_tokens": 2121455.0, + "step": 1190 + }, + { + "entropy": 6.636424875259399, + "epoch": 0.06146645063395314, + "grad_norm": 1.109375, + "learning_rate": 0.0004953727922052035, + "loss": 6.2933, + "mean_token_accuracy": 0.11959701478481292, + "num_tokens": 2130364.0, + "step": 1195 + }, + { + "entropy": 6.704743337631226, + "epoch": 0.061723632435768845, + "grad_norm": 1.203125, + "learning_rate": 0.0004951320775200756, + "loss": 6.4765, + "mean_token_accuracy": 0.11397643610835076, + "num_tokens": 2138893.0, + "step": 1200 + }, + { + "entropy": 6.7864457130432125, + "epoch": 0.06198081423758455, + "grad_norm": 1.1015625, + "learning_rate": 0.0004948853278028436, + "loss": 6.4775, + "mean_token_accuracy": 0.11080277115106582, + "num_tokens": 2148441.0, + "step": 1205 + }, + { + "entropy": 6.467393255233764, + "epoch": 0.06223799603940025, + "grad_norm": 1.125, + "learning_rate": 0.0004946325498182755, + "loss": 6.3488, + "mean_token_accuracy": 0.11968965232372283, + "num_tokens": 2157566.0, + "step": 1210 + }, + { + "entropy": 6.594685506820679, + "epoch": 0.06249517784121596, + "grad_norm": 1.0703125, + "learning_rate": 0.0004943737504964076, + "loss": 6.2783, + "mean_token_accuracy": 0.12351583763957023, + "num_tokens": 2166652.0, + "step": 1215 + }, + { + "entropy": 6.595351934432983, + "epoch": 0.06275235964303166, + "grad_norm": 1.078125, + "learning_rate": 0.000494108936932354, + "loss": 6.3271, + "mean_token_accuracy": 0.11962940394878388, + "num_tokens": 2175786.0, + "step": 1220 + }, + { + "entropy": 6.599175357818604, + "epoch": 0.06300954144484737, + "grad_norm": 1.0859375, + "learning_rate": 0.0004938381163861124, + "loss": 6.3318, + "mean_token_accuracy": 0.11382425799965859, + "num_tokens": 2184282.0, + "step": 1225 + }, + { + "entropy": 6.65804877281189, + "epoch": 0.06326672324666306, + "grad_norm": 1.1171875, + "learning_rate": 0.0004935612962823645, + "loss": 6.2634, + "mean_token_accuracy": 0.1293702930212021, + "num_tokens": 2192588.0, + "step": 1230 + }, + { + "entropy": 6.570264053344727, + "epoch": 0.06352390504847877, + "grad_norm": 1.09375, + "learning_rate": 0.0004932784842102739, + "loss": 6.224, + "mean_token_accuracy": 0.1252226300537586, + "num_tokens": 2201247.0, + "step": 1235 + }, + { + "entropy": 6.581180286407471, + "epoch": 0.06378108685029447, + "grad_norm": 1.0546875, + "learning_rate": 0.0004929896879232758, + "loss": 6.4, + "mean_token_accuracy": 0.11070948839187622, + "num_tokens": 2210096.0, + "step": 1240 + }, + { + "entropy": 6.548767185211181, + "epoch": 0.06403826865211018, + "grad_norm": 1.0625, + "learning_rate": 0.0004926949153388668, + "loss": 6.2372, + "mean_token_accuracy": 0.12190242633223533, + "num_tokens": 2219221.0, + "step": 1245 + }, + { + "entropy": 6.613304138183594, + "epoch": 0.06429545045392589, + "grad_norm": 1.0234375, + "learning_rate": 0.0004923941745383859, + "loss": 6.3914, + "mean_token_accuracy": 0.11916265785694122, + "num_tokens": 2229094.0, + "step": 1250 + }, + { + "entropy": 6.622950220108033, + "epoch": 0.06455263225574158, + "grad_norm": 1.1328125, + "learning_rate": 0.000492087473766794, + "loss": 6.2814, + "mean_token_accuracy": 0.12494359165430069, + "num_tokens": 2236964.0, + "step": 1255 + }, + { + "entropy": 6.639262056350708, + "epoch": 0.06480981405755729, + "grad_norm": 1.0703125, + "learning_rate": 0.000491774821432448, + "loss": 6.2964, + "mean_token_accuracy": 0.11379757001996041, + "num_tokens": 2247044.0, + "step": 1260 + }, + { + "entropy": 6.578648328781128, + "epoch": 0.06506699585937299, + "grad_norm": 1.0859375, + "learning_rate": 0.0004914562261068693, + "loss": 6.3464, + "mean_token_accuracy": 0.11853989958763123, + "num_tokens": 2256106.0, + "step": 1265 + }, + { + "entropy": 6.5819896221160885, + "epoch": 0.0653241776611887, + "grad_norm": 1.015625, + "learning_rate": 0.0004911316965245098, + "loss": 6.333, + "mean_token_accuracy": 0.1119878426194191, + "num_tokens": 2265432.0, + "step": 1270 + }, + { + "entropy": 6.685585260391235, + "epoch": 0.0655813594630044, + "grad_norm": 1.125, + "learning_rate": 0.000490801241582512, + "loss": 6.3091, + "mean_token_accuracy": 0.11969617679715157, + "num_tokens": 2273882.0, + "step": 1275 + }, + { + "entropy": 6.507035255432129, + "epoch": 0.0658385412648201, + "grad_norm": 1.0546875, + "learning_rate": 0.000490464870340465, + "loss": 6.2311, + "mean_token_accuracy": 0.12235765084624291, + "num_tokens": 2282754.0, + "step": 1280 + }, + { + "entropy": 6.6120068550109865, + "epoch": 0.0660957230666358, + "grad_norm": 1.046875, + "learning_rate": 0.0004901225920201563, + "loss": 6.2385, + "mean_token_accuracy": 0.11968952193856239, + "num_tokens": 2291637.0, + "step": 1285 + }, + { + "entropy": 6.5052814960479735, + "epoch": 0.06635290486845151, + "grad_norm": 1.15625, + "learning_rate": 0.000489774416005319, + "loss": 6.2752, + "mean_token_accuracy": 0.1284623309969902, + "num_tokens": 2300279.0, + "step": 1290 + }, + { + "entropy": 6.605392360687256, + "epoch": 0.06661008667026722, + "grad_norm": 1.203125, + "learning_rate": 0.0004894203518413742, + "loss": 6.3063, + "mean_token_accuracy": 0.11685983091592789, + "num_tokens": 2309413.0, + "step": 1295 + }, + { + "entropy": 6.453005313873291, + "epoch": 0.06686726847208292, + "grad_norm": 1.046875, + "learning_rate": 0.0004890604092351701, + "loss": 6.2339, + "mean_token_accuracy": 0.12537124752998352, + "num_tokens": 2318284.0, + "step": 1300 + }, + { + "entropy": 6.663999080657959, + "epoch": 0.06712445027389861, + "grad_norm": 1.140625, + "learning_rate": 0.000488694598054715, + "loss": 6.4158, + "mean_token_accuracy": 0.11596757918596268, + "num_tokens": 2327483.0, + "step": 1305 + }, + { + "entropy": 6.604641580581665, + "epoch": 0.06738163207571432, + "grad_norm": 1.046875, + "learning_rate": 0.0004883229283289071, + "loss": 6.3298, + "mean_token_accuracy": 0.11663304418325424, + "num_tokens": 2336096.0, + "step": 1310 + }, + { + "entropy": 6.647005414962768, + "epoch": 0.06763881387753003, + "grad_norm": 1.0, + "learning_rate": 0.00048794541024725993, + "loss": 6.2797, + "mean_token_accuracy": 0.11775869503617287, + "num_tokens": 2345393.0, + "step": 1315 + }, + { + "entropy": 6.554132890701294, + "epoch": 0.06789599567934573, + "grad_norm": 1.15625, + "learning_rate": 0.0004875620541596221, + "loss": 6.2501, + "mean_token_accuracy": 0.12467899695038795, + "num_tokens": 2353824.0, + "step": 1320 + }, + { + "entropy": 6.465411710739136, + "epoch": 0.06815317748116144, + "grad_norm": 1.140625, + "learning_rate": 0.00048717287057589454, + "loss": 6.2802, + "mean_token_accuracy": 0.12414587661623955, + "num_tokens": 2361992.0, + "step": 1325 + }, + { + "entropy": 6.607723951339722, + "epoch": 0.06841035928297713, + "grad_norm": 1.0390625, + "learning_rate": 0.0004867778701657417, + "loss": 6.1856, + "mean_token_accuracy": 0.12355614453554153, + "num_tokens": 2370849.0, + "step": 1330 + }, + { + "entropy": 6.542122459411621, + "epoch": 0.06866754108479284, + "grad_norm": 1.1953125, + "learning_rate": 0.00048637706375829955, + "loss": 6.2951, + "mean_token_accuracy": 0.125213223695755, + "num_tokens": 2379460.0, + "step": 1335 + }, + { + "entropy": 6.524771022796631, + "epoch": 0.06892472288660854, + "grad_norm": 1.046875, + "learning_rate": 0.000485970462341878, + "loss": 6.1841, + "mean_token_accuracy": 0.12624969705939293, + "num_tokens": 2388236.0, + "step": 1340 + }, + { + "entropy": 6.408080244064331, + "epoch": 0.06918190468842425, + "grad_norm": 1.1796875, + "learning_rate": 0.00048555807706366044, + "loss": 6.2347, + "mean_token_accuracy": 0.12203069031238556, + "num_tokens": 2397598.0, + "step": 1345 + }, + { + "entropy": 6.627772331237793, + "epoch": 0.06943908649023996, + "grad_norm": 1.125, + "learning_rate": 0.00048513991922939756, + "loss": 6.2066, + "mean_token_accuracy": 0.12295120730996131, + "num_tokens": 2406097.0, + "step": 1350 + }, + { + "entropy": 6.502293634414673, + "epoch": 0.06969626829205565, + "grad_norm": 1.0625, + "learning_rate": 0.00048471600030309744, + "loss": 6.3098, + "mean_token_accuracy": 0.11426047384738922, + "num_tokens": 2414590.0, + "step": 1355 + }, + { + "entropy": 6.440834903717041, + "epoch": 0.06995345009387136, + "grad_norm": 1.03125, + "learning_rate": 0.00048428633190671186, + "loss": 6.1354, + "mean_token_accuracy": 0.1235704205930233, + "num_tokens": 2424100.0, + "step": 1360 + }, + { + "entropy": 6.563741016387939, + "epoch": 0.07021063189568706, + "grad_norm": 1.1328125, + "learning_rate": 0.0004838509258198167, + "loss": 6.2091, + "mean_token_accuracy": 0.121873689442873, + "num_tokens": 2432751.0, + "step": 1365 + }, + { + "entropy": 6.543551826477051, + "epoch": 0.07046781369750277, + "grad_norm": 1.1015625, + "learning_rate": 0.00048340979397929, + "loss": 6.1861, + "mean_token_accuracy": 0.12034041285514832, + "num_tokens": 2442054.0, + "step": 1370 + }, + { + "entropy": 6.375408792495728, + "epoch": 0.07072499549931847, + "grad_norm": 1.109375, + "learning_rate": 0.00048296294847898386, + "loss": 6.1099, + "mean_token_accuracy": 0.12799823582172393, + "num_tokens": 2450711.0, + "step": 1375 + }, + { + "entropy": 6.405136442184448, + "epoch": 0.07098217730113417, + "grad_norm": 1.09375, + "learning_rate": 0.0004825104015693934, + "loss": 6.1895, + "mean_token_accuracy": 0.12983948215842248, + "num_tokens": 2460203.0, + "step": 1380 + }, + { + "entropy": 6.558651971817016, + "epoch": 0.07123935910294987, + "grad_norm": 1.1015625, + "learning_rate": 0.0004820521656573208, + "loss": 6.2482, + "mean_token_accuracy": 0.12185781002044678, + "num_tokens": 2469656.0, + "step": 1385 + }, + { + "entropy": 6.4783261775970455, + "epoch": 0.07149654090476558, + "grad_norm": 1.1640625, + "learning_rate": 0.00048158825330553505, + "loss": 6.1986, + "mean_token_accuracy": 0.12839986979961396, + "num_tokens": 2478359.0, + "step": 1390 + }, + { + "entropy": 6.440516662597656, + "epoch": 0.07175372270658129, + "grad_norm": 1.015625, + "learning_rate": 0.00048111867723242763, + "loss": 6.1319, + "mean_token_accuracy": 0.12275411933660507, + "num_tokens": 2487330.0, + "step": 1395 + }, + { + "entropy": 6.464969682693481, + "epoch": 0.07201090450839699, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806434503116637, + "loss": 6.1196, + "mean_token_accuracy": 0.12776034623384475, + "num_tokens": 2495445.0, + "step": 1400 + }, + { + "entropy": 6.352128219604492, + "epoch": 0.07226808631021268, + "grad_norm": 1.03125, + "learning_rate": 0.0004801625855718296, + "loss": 6.1221, + "mean_token_accuracy": 0.129915539175272, + "num_tokens": 2504061.0, + "step": 1405 + }, + { + "entropy": 6.479479789733887, + "epoch": 0.07252526811202839, + "grad_norm": 1.1640625, + "learning_rate": 0.00047967609619607477, + "loss": 6.1634, + "mean_token_accuracy": 0.12523439154028893, + "num_tokens": 2513044.0, + "step": 1410 + }, + { + "entropy": 6.456380176544189, + "epoch": 0.0727824499138441, + "grad_norm": 1.0625, + "learning_rate": 0.0004791839955217513, + "loss": 6.2452, + "mean_token_accuracy": 0.12148747369647026, + "num_tokens": 2522027.0, + "step": 1415 + }, + { + "entropy": 6.455992269515991, + "epoch": 0.0730396317156598, + "grad_norm": 1.03125, + "learning_rate": 0.00047868629704004786, + "loss": 6.1438, + "mean_token_accuracy": 0.12664651721715928, + "num_tokens": 2530888.0, + "step": 1420 + }, + { + "entropy": 6.309210348129272, + "epoch": 0.07329681351747551, + "grad_norm": 1.1328125, + "learning_rate": 0.00047818301439561965, + "loss": 6.1205, + "mean_token_accuracy": 0.13230895176529883, + "num_tokens": 2540210.0, + "step": 1425 + }, + { + "entropy": 6.500010251998901, + "epoch": 0.0735539953192912, + "grad_norm": 1.1171875, + "learning_rate": 0.00047767416138621454, + "loss": 6.1576, + "mean_token_accuracy": 0.13035310953855514, + "num_tokens": 2547943.0, + "step": 1430 + }, + { + "entropy": 6.4128905773162845, + "epoch": 0.07381117712110691, + "grad_norm": 1.09375, + "learning_rate": 0.000477159751962295, + "loss": 6.1758, + "mean_token_accuracy": 0.12096773236989974, + "num_tokens": 2557174.0, + "step": 1435 + }, + { + "entropy": 6.467635154724121, + "epoch": 0.07406835892292261, + "grad_norm": 1.109375, + "learning_rate": 0.00047663980022665507, + "loss": 6.1847, + "mean_token_accuracy": 0.12423764616250992, + "num_tokens": 2566139.0, + "step": 1440 + }, + { + "entropy": 6.443244886398316, + "epoch": 0.07432554072473832, + "grad_norm": 1.1015625, + "learning_rate": 0.00047611432043403437, + "loss": 6.1833, + "mean_token_accuracy": 0.12400569245219231, + "num_tokens": 2574701.0, + "step": 1445 + }, + { + "entropy": 6.48380708694458, + "epoch": 0.07458272252655403, + "grad_norm": 1.109375, + "learning_rate": 0.0004755833269907267, + "loss": 6.1683, + "mean_token_accuracy": 0.13298066854476928, + "num_tokens": 2583065.0, + "step": 1450 + }, + { + "entropy": 6.337066030502319, + "epoch": 0.07483990432836972, + "grad_norm": 1.0625, + "learning_rate": 0.0004750468344541857, + "loss": 6.0415, + "mean_token_accuracy": 0.13096242472529412, + "num_tokens": 2592619.0, + "step": 1455 + }, + { + "entropy": 6.387078046798706, + "epoch": 0.07509708613018543, + "grad_norm": 1.125, + "learning_rate": 0.00047450485753262525, + "loss": 6.1234, + "mean_token_accuracy": 0.12428422570228577, + "num_tokens": 2601434.0, + "step": 1460 + }, + { + "entropy": 6.404777574539184, + "epoch": 0.07535426793200113, + "grad_norm": 1.015625, + "learning_rate": 0.00047395741108461633, + "loss": 6.247, + "mean_token_accuracy": 0.11993053182959557, + "num_tokens": 2610925.0, + "step": 1465 + }, + { + "entropy": 6.445322704315186, + "epoch": 0.07561144973381684, + "grad_norm": 1.015625, + "learning_rate": 0.00047340451011867985, + "loss": 6.2036, + "mean_token_accuracy": 0.1239316701889038, + "num_tokens": 2620275.0, + "step": 1470 + }, + { + "entropy": 6.519756078720093, + "epoch": 0.07586863153563254, + "grad_norm": 1.0, + "learning_rate": 0.00047284616979287515, + "loss": 6.2099, + "mean_token_accuracy": 0.1233117938041687, + "num_tokens": 2629826.0, + "step": 1475 + }, + { + "entropy": 6.344198274612427, + "epoch": 0.07612581333744824, + "grad_norm": 1.0625, + "learning_rate": 0.00047228240541438433, + "loss": 5.9902, + "mean_token_accuracy": 0.13270971104502677, + "num_tokens": 2638680.0, + "step": 1480 + }, + { + "entropy": 6.357509803771973, + "epoch": 0.07638299513926394, + "grad_norm": 1.078125, + "learning_rate": 0.00047171323243909257, + "loss": 6.1679, + "mean_token_accuracy": 0.12576281726360322, + "num_tokens": 2647739.0, + "step": 1485 + }, + { + "entropy": 6.3423261642456055, + "epoch": 0.07664017694107965, + "grad_norm": 1.125, + "learning_rate": 0.00047113866647116457, + "loss": 6.0689, + "mean_token_accuracy": 0.12693566605448722, + "num_tokens": 2656137.0, + "step": 1490 + }, + { + "entropy": 6.399060344696045, + "epoch": 0.07689735874289536, + "grad_norm": 1.046875, + "learning_rate": 0.0004705587232626164, + "loss": 6.1868, + "mean_token_accuracy": 0.1253664128482342, + "num_tokens": 2665173.0, + "step": 1495 + }, + { + "entropy": 6.466083621978759, + "epoch": 0.07715454054471106, + "grad_norm": 1.1953125, + "learning_rate": 0.00046997341871288424, + "loss": 6.1583, + "mean_token_accuracy": 0.13294297680258751, + "num_tokens": 2673574.0, + "step": 1500 + }, + { + "entropy": 6.281017255783081, + "epoch": 0.07741172234652675, + "grad_norm": 1.1171875, + "learning_rate": 0.0004693827688683879, + "loss": 6.0623, + "mean_token_accuracy": 0.1325296178460121, + "num_tokens": 2682550.0, + "step": 1505 + }, + { + "entropy": 6.448086404800415, + "epoch": 0.07766890414834246, + "grad_norm": 1.109375, + "learning_rate": 0.0004687867899220914, + "loss": 6.1484, + "mean_token_accuracy": 0.1286767065525055, + "num_tokens": 2691473.0, + "step": 1510 + }, + { + "entropy": 6.355803918838501, + "epoch": 0.07792608595015817, + "grad_norm": 1.0390625, + "learning_rate": 0.00046818549821305846, + "loss": 6.1298, + "mean_token_accuracy": 0.12500087693333625, + "num_tokens": 2700351.0, + "step": 1515 + }, + { + "entropy": 6.375854969024658, + "epoch": 0.07818326775197387, + "grad_norm": 1.0703125, + "learning_rate": 0.00046757891022600494, + "loss": 6.134, + "mean_token_accuracy": 0.13383759930729866, + "num_tokens": 2709286.0, + "step": 1520 + }, + { + "entropy": 6.397713947296142, + "epoch": 0.07844044955378958, + "grad_norm": 1.109375, + "learning_rate": 0.0004669670425908471, + "loss": 6.1319, + "mean_token_accuracy": 0.1305990234017372, + "num_tokens": 2718003.0, + "step": 1525 + }, + { + "entropy": 6.5097356796264645, + "epoch": 0.07869763135560527, + "grad_norm": 1.1015625, + "learning_rate": 0.0004663499120822451, + "loss": 6.1401, + "mean_token_accuracy": 0.13283091709017752, + "num_tokens": 2726488.0, + "step": 1530 + }, + { + "entropy": 6.442542362213135, + "epoch": 0.07895481315742098, + "grad_norm": 1.1015625, + "learning_rate": 0.0004657275356191437, + "loss": 6.2381, + "mean_token_accuracy": 0.12060219943523406, + "num_tokens": 2735183.0, + "step": 1535 + }, + { + "entropy": 6.431625938415527, + "epoch": 0.07921199495923668, + "grad_norm": 1.140625, + "learning_rate": 0.00046509993026430804, + "loss": 6.1846, + "mean_token_accuracy": 0.13017381876707076, + "num_tokens": 2744730.0, + "step": 1540 + }, + { + "entropy": 6.391227769851684, + "epoch": 0.07946917676105239, + "grad_norm": 1.0703125, + "learning_rate": 0.0004644671132238558, + "loss": 6.078, + "mean_token_accuracy": 0.13144444525241852, + "num_tokens": 2753148.0, + "step": 1545 + }, + { + "entropy": 6.3710565090179445, + "epoch": 0.0797263585628681, + "grad_norm": 1.1484375, + "learning_rate": 0.00046382910184678585, + "loss": 6.1304, + "mean_token_accuracy": 0.12514668405056, + "num_tokens": 2762394.0, + "step": 1550 + }, + { + "entropy": 6.383265018463135, + "epoch": 0.07998354036468379, + "grad_norm": 1.15625, + "learning_rate": 0.0004631859136245025, + "loss": 6.0604, + "mean_token_accuracy": 0.13881182968616484, + "num_tokens": 2770778.0, + "step": 1555 + }, + { + "entropy": 6.303916597366333, + "epoch": 0.0802407221664995, + "grad_norm": 1.078125, + "learning_rate": 0.0004625375661903357, + "loss": 6.0143, + "mean_token_accuracy": 0.1306192882359028, + "num_tokens": 2779530.0, + "step": 1560 + }, + { + "entropy": 6.338508129119873, + "epoch": 0.0804979039683152, + "grad_norm": 1.015625, + "learning_rate": 0.00046188407731905787, + "loss": 6.0973, + "mean_token_accuracy": 0.12936475947499276, + "num_tokens": 2788587.0, + "step": 1565 + }, + { + "entropy": 6.286006164550781, + "epoch": 0.08075508577013091, + "grad_norm": 1.015625, + "learning_rate": 0.00046122546492639643, + "loss": 6.0359, + "mean_token_accuracy": 0.13100264444947243, + "num_tokens": 2797759.0, + "step": 1570 + }, + { + "entropy": 6.315873813629151, + "epoch": 0.08101226757194661, + "grad_norm": 1.0703125, + "learning_rate": 0.000460561747068543, + "loss": 5.9986, + "mean_token_accuracy": 0.13158408626914025, + "num_tokens": 2806030.0, + "step": 1575 + }, + { + "entropy": 6.338774108886719, + "epoch": 0.0812694493737623, + "grad_norm": 1.0078125, + "learning_rate": 0.0004598929419416578, + "loss": 6.0144, + "mean_token_accuracy": 0.13145786076784133, + "num_tokens": 2815051.0, + "step": 1580 + }, + { + "entropy": 6.2580437660217285, + "epoch": 0.08152663117557801, + "grad_norm": 1.0859375, + "learning_rate": 0.00045921906788137123, + "loss": 6.0245, + "mean_token_accuracy": 0.1368385747075081, + "num_tokens": 2824019.0, + "step": 1585 + }, + { + "entropy": 6.473824882507325, + "epoch": 0.08178381297739372, + "grad_norm": 1.09375, + "learning_rate": 0.00045854014336228115, + "loss": 6.1763, + "mean_token_accuracy": 0.12589069753885268, + "num_tokens": 2832494.0, + "step": 1590 + }, + { + "entropy": 6.306181764602661, + "epoch": 0.08204099477920943, + "grad_norm": 1.0078125, + "learning_rate": 0.00045785618699744615, + "loss": 6.0168, + "mean_token_accuracy": 0.13415324538946152, + "num_tokens": 2841314.0, + "step": 1595 + }, + { + "entropy": 6.2222880840301515, + "epoch": 0.08229817658102513, + "grad_norm": 1.0859375, + "learning_rate": 0.00045716721753787543, + "loss": 5.9476, + "mean_token_accuracy": 0.13951284289360047, + "num_tokens": 2849635.0, + "step": 1600 + }, + { + "entropy": 6.297337532043457, + "epoch": 0.08255535838284082, + "grad_norm": 1.2265625, + "learning_rate": 0.0004564732538720148, + "loss": 6.094, + "mean_token_accuracy": 0.12806924805045128, + "num_tokens": 2859306.0, + "step": 1605 + }, + { + "entropy": 6.361379623413086, + "epoch": 0.08281254018465653, + "grad_norm": 1.078125, + "learning_rate": 0.00045577431502522877, + "loss": 6.1886, + "mean_token_accuracy": 0.1268698565661907, + "num_tokens": 2868316.0, + "step": 1610 + }, + { + "entropy": 6.415389966964722, + "epoch": 0.08306972198647224, + "grad_norm": 1.1015625, + "learning_rate": 0.0004550704201592787, + "loss": 6.1611, + "mean_token_accuracy": 0.12649422660470008, + "num_tokens": 2877508.0, + "step": 1615 + }, + { + "entropy": 6.425594854354858, + "epoch": 0.08332690378828794, + "grad_norm": 0.9921875, + "learning_rate": 0.0004543615885717981, + "loss": 6.1123, + "mean_token_accuracy": 0.1241836428642273, + "num_tokens": 2886927.0, + "step": 1620 + }, + { + "entropy": 6.364439010620117, + "epoch": 0.08358408559010365, + "grad_norm": 1.046875, + "learning_rate": 0.00045364783969576296, + "loss": 6.1434, + "mean_token_accuracy": 0.12308017164468765, + "num_tokens": 2896484.0, + "step": 1625 + }, + { + "entropy": 6.411374950408936, + "epoch": 0.08384126739191934, + "grad_norm": 1.09375, + "learning_rate": 0.0004529291930989592, + "loss": 6.0181, + "mean_token_accuracy": 0.13011238351464272, + "num_tokens": 2905298.0, + "step": 1630 + }, + { + "entropy": 6.292522811889649, + "epoch": 0.08409844919373505, + "grad_norm": 1.1328125, + "learning_rate": 0.0004522056684834464, + "loss": 6.0992, + "mean_token_accuracy": 0.1334770753979683, + "num_tokens": 2913811.0, + "step": 1635 + }, + { + "entropy": 6.370844841003418, + "epoch": 0.08435563099555075, + "grad_norm": 1.078125, + "learning_rate": 0.0004514772856850173, + "loss": 6.0902, + "mean_token_accuracy": 0.128910331428051, + "num_tokens": 2922531.0, + "step": 1640 + }, + { + "entropy": 6.311898422241211, + "epoch": 0.08461281279736646, + "grad_norm": 1.1015625, + "learning_rate": 0.0004507440646726542, + "loss": 6.0567, + "mean_token_accuracy": 0.13458428382873536, + "num_tokens": 2931178.0, + "step": 1645 + }, + { + "entropy": 6.309841632843018, + "epoch": 0.08486999459918217, + "grad_norm": 1.0625, + "learning_rate": 0.0004500060255479818, + "loss": 6.0937, + "mean_token_accuracy": 0.13025279939174653, + "num_tokens": 2940419.0, + "step": 1650 + }, + { + "entropy": 6.36889328956604, + "epoch": 0.08512717640099786, + "grad_norm": 1.109375, + "learning_rate": 0.0004492631885447151, + "loss": 5.9964, + "mean_token_accuracy": 0.1294368840754032, + "num_tokens": 2949119.0, + "step": 1655 + }, + { + "entropy": 6.307538890838623, + "epoch": 0.08538435820281357, + "grad_norm": 1.1171875, + "learning_rate": 0.00044851557402810616, + "loss": 6.1656, + "mean_token_accuracy": 0.12390446290373802, + "num_tokens": 2957775.0, + "step": 1660 + }, + { + "entropy": 6.376241397857666, + "epoch": 0.08564154000462927, + "grad_norm": 1.0234375, + "learning_rate": 0.00044776320249438444, + "loss": 6.0929, + "mean_token_accuracy": 0.1286988750100136, + "num_tokens": 2967644.0, + "step": 1665 + }, + { + "entropy": 6.352219152450561, + "epoch": 0.08589872180644498, + "grad_norm": 1.0390625, + "learning_rate": 0.00044700609457019565, + "loss": 6.0603, + "mean_token_accuracy": 0.13165615424513816, + "num_tokens": 2975608.0, + "step": 1670 + }, + { + "entropy": 6.289653968811035, + "epoch": 0.08615590360826068, + "grad_norm": 1.125, + "learning_rate": 0.0004462442710120359, + "loss": 6.0552, + "mean_token_accuracy": 0.1328391693532467, + "num_tokens": 2984138.0, + "step": 1675 + }, + { + "entropy": 6.410796213150024, + "epoch": 0.08641308541007638, + "grad_norm": 1.0859375, + "learning_rate": 0.000445477752705683, + "loss": 6.1551, + "mean_token_accuracy": 0.12801553606986998, + "num_tokens": 2992770.0, + "step": 1680 + }, + { + "entropy": 6.379126834869385, + "epoch": 0.08667026721189208, + "grad_norm": 1.0546875, + "learning_rate": 0.00044470656066562336, + "loss": 5.9911, + "mean_token_accuracy": 0.1325019121170044, + "num_tokens": 3001685.0, + "step": 1685 + }, + { + "entropy": 6.266774129867554, + "epoch": 0.08692744901370779, + "grad_norm": 1.09375, + "learning_rate": 0.0004439307160344765, + "loss": 6.0246, + "mean_token_accuracy": 0.13351587057113648, + "num_tokens": 3010905.0, + "step": 1690 + }, + { + "entropy": 6.312497520446778, + "epoch": 0.0871846308155235, + "grad_norm": 1.015625, + "learning_rate": 0.00044315024008241473, + "loss": 6.0822, + "mean_token_accuracy": 0.12986138314008713, + "num_tokens": 3020257.0, + "step": 1695 + }, + { + "entropy": 6.329559803009033, + "epoch": 0.0874418126173392, + "grad_norm": 1.03125, + "learning_rate": 0.0004423651542065806, + "loss": 6.086, + "mean_token_accuracy": 0.1287504680454731, + "num_tokens": 3029397.0, + "step": 1700 + }, + { + "entropy": 6.40656681060791, + "epoch": 0.0876989944191549, + "grad_norm": 1.09375, + "learning_rate": 0.00044157547993050006, + "loss": 6.0878, + "mean_token_accuracy": 0.12193093374371529, + "num_tokens": 3038822.0, + "step": 1705 + }, + { + "entropy": 6.286016368865967, + "epoch": 0.0879561762209706, + "grad_norm": 1.0859375, + "learning_rate": 0.00044078123890349227, + "loss": 5.9675, + "mean_token_accuracy": 0.13392331525683404, + "num_tokens": 3047435.0, + "step": 1710 + }, + { + "entropy": 6.301493215560913, + "epoch": 0.0882133580227863, + "grad_norm": 1.1015625, + "learning_rate": 0.00043998245290007606, + "loss": 6.1045, + "mean_token_accuracy": 0.13060200214385986, + "num_tokens": 3056011.0, + "step": 1715 + }, + { + "entropy": 6.378498220443726, + "epoch": 0.08847053982460201, + "grad_norm": 1.109375, + "learning_rate": 0.00043917914381937323, + "loss": 6.0839, + "mean_token_accuracy": 0.1344021290540695, + "num_tokens": 3064182.0, + "step": 1720 + }, + { + "entropy": 6.304371786117554, + "epoch": 0.08872772162641772, + "grad_norm": 1.0625, + "learning_rate": 0.00043837133368450815, + "loss": 6.0605, + "mean_token_accuracy": 0.13042551502585412, + "num_tokens": 3072669.0, + "step": 1725 + }, + { + "entropy": 6.319208002090454, + "epoch": 0.08898490342823343, + "grad_norm": 1.0625, + "learning_rate": 0.0004375590446420037, + "loss": 6.0262, + "mean_token_accuracy": 0.13751724287867545, + "num_tokens": 3081024.0, + "step": 1730 + }, + { + "entropy": 6.245740699768066, + "epoch": 0.08924208523004912, + "grad_norm": 1.15625, + "learning_rate": 0.0004367422989611743, + "loss": 5.9442, + "mean_token_accuracy": 0.13434263542294503, + "num_tokens": 3089747.0, + "step": 1735 + }, + { + "entropy": 6.31815619468689, + "epoch": 0.08949926703186482, + "grad_norm": 0.97265625, + "learning_rate": 0.0004359211190335153, + "loss": 6.0425, + "mean_token_accuracy": 0.13445181101560594, + "num_tokens": 3099011.0, + "step": 1740 + }, + { + "entropy": 6.286892604827881, + "epoch": 0.08975644883368053, + "grad_norm": 1.0703125, + "learning_rate": 0.00043509552737208923, + "loss": 5.9967, + "mean_token_accuracy": 0.13267636224627494, + "num_tokens": 3107645.0, + "step": 1745 + }, + { + "entropy": 6.278048324584961, + "epoch": 0.09001363063549624, + "grad_norm": 1.109375, + "learning_rate": 0.00043426554661090853, + "loss": 6.0557, + "mean_token_accuracy": 0.1316031478345394, + "num_tokens": 3116292.0, + "step": 1750 + }, + { + "entropy": 6.359972858428955, + "epoch": 0.09027081243731194, + "grad_norm": 1.1015625, + "learning_rate": 0.00043343119950431516, + "loss": 6.0723, + "mean_token_accuracy": 0.13226044401526452, + "num_tokens": 3126356.0, + "step": 1755 + }, + { + "entropy": 6.250633955001831, + "epoch": 0.09052799423912763, + "grad_norm": 1.078125, + "learning_rate": 0.00043259250892635644, + "loss": 6.0472, + "mean_token_accuracy": 0.12974994629621506, + "num_tokens": 3135685.0, + "step": 1760 + }, + { + "entropy": 6.314090394973755, + "epoch": 0.09078517604094334, + "grad_norm": 1.109375, + "learning_rate": 0.0004317494978701582, + "loss": 6.0026, + "mean_token_accuracy": 0.12911238446831702, + "num_tokens": 3144788.0, + "step": 1765 + }, + { + "entropy": 6.288527154922486, + "epoch": 0.09104235784275905, + "grad_norm": 1.140625, + "learning_rate": 0.0004309021894472943, + "loss": 6.0151, + "mean_token_accuracy": 0.1408878244459629, + "num_tokens": 3153273.0, + "step": 1770 + }, + { + "entropy": 6.267010736465454, + "epoch": 0.09129953964457475, + "grad_norm": 1.109375, + "learning_rate": 0.0004300506068871534, + "loss": 6.0249, + "mean_token_accuracy": 0.1345413491129875, + "num_tokens": 3161806.0, + "step": 1775 + }, + { + "entropy": 6.174133968353272, + "epoch": 0.09155672144639046, + "grad_norm": 1.09375, + "learning_rate": 0.00042919477353630135, + "loss": 5.8371, + "mean_token_accuracy": 0.14690690338611603, + "num_tokens": 3170401.0, + "step": 1780 + }, + { + "entropy": 6.2911989212036135, + "epoch": 0.09181390324820615, + "grad_norm": 1.0703125, + "learning_rate": 0.000428334712857842, + "loss": 5.9583, + "mean_token_accuracy": 0.13602055236697197, + "num_tokens": 3179742.0, + "step": 1785 + }, + { + "entropy": 6.309875202178955, + "epoch": 0.09207108505002186, + "grad_norm": 1.0078125, + "learning_rate": 0.00042747044843077304, + "loss": 6.1082, + "mean_token_accuracy": 0.13044340386986733, + "num_tokens": 3188898.0, + "step": 1790 + }, + { + "entropy": 6.30495662689209, + "epoch": 0.09232826685183756, + "grad_norm": 1.03125, + "learning_rate": 0.00042660200394934047, + "loss": 6.0906, + "mean_token_accuracy": 0.12872936055064202, + "num_tokens": 3197860.0, + "step": 1795 + }, + { + "entropy": 6.351209688186645, + "epoch": 0.09258544865365327, + "grad_norm": 1.1015625, + "learning_rate": 0.00042572940322238844, + "loss": 6.0633, + "mean_token_accuracy": 0.133078370988369, + "num_tokens": 3206779.0, + "step": 1800 + }, + { + "entropy": 6.252921724319458, + "epoch": 0.09284263045546898, + "grad_norm": 1.1875, + "learning_rate": 0.00042485267017270664, + "loss": 5.9835, + "mean_token_accuracy": 0.1363011360168457, + "num_tokens": 3215051.0, + "step": 1805 + }, + { + "entropy": 6.277395391464234, + "epoch": 0.09309981225728467, + "grad_norm": 1.1640625, + "learning_rate": 0.0004239718288363745, + "loss": 5.9666, + "mean_token_accuracy": 0.1378926604986191, + "num_tokens": 3223977.0, + "step": 1810 + }, + { + "entropy": 6.305054616928101, + "epoch": 0.09335699405910038, + "grad_norm": 1.0859375, + "learning_rate": 0.0004230869033621023, + "loss": 5.9981, + "mean_token_accuracy": 0.1367839142680168, + "num_tokens": 3232714.0, + "step": 1815 + }, + { + "entropy": 6.307405042648315, + "epoch": 0.09361417586091608, + "grad_norm": 1.0859375, + "learning_rate": 0.0004221979180105688, + "loss": 5.9666, + "mean_token_accuracy": 0.13633009940385818, + "num_tokens": 3241405.0, + "step": 1820 + }, + { + "entropy": 6.269251775741577, + "epoch": 0.09387135766273179, + "grad_norm": 1.0625, + "learning_rate": 0.00042130489715375645, + "loss": 6.0106, + "mean_token_accuracy": 0.13501947596669198, + "num_tokens": 3249846.0, + "step": 1825 + }, + { + "entropy": 6.296307373046875, + "epoch": 0.0941285394645475, + "grad_norm": 1.0859375, + "learning_rate": 0.00042040786527428335, + "loss": 5.9188, + "mean_token_accuracy": 0.13773071020841599, + "num_tokens": 3258231.0, + "step": 1830 + }, + { + "entropy": 6.150211763381958, + "epoch": 0.09438572126636319, + "grad_norm": 1.0703125, + "learning_rate": 0.0004195068469647315, + "loss": 5.9593, + "mean_token_accuracy": 0.1389425627887249, + "num_tokens": 3267333.0, + "step": 1835 + }, + { + "entropy": 6.298181486129761, + "epoch": 0.0946429030681789, + "grad_norm": 1.0234375, + "learning_rate": 0.00041860186692697297, + "loss": 6.1112, + "mean_token_accuracy": 0.12236591503024101, + "num_tokens": 3276575.0, + "step": 1840 + }, + { + "entropy": 6.347346067428589, + "epoch": 0.0949000848699946, + "grad_norm": 1.1953125, + "learning_rate": 0.00041769294997149264, + "loss": 6.1014, + "mean_token_accuracy": 0.12974566370248794, + "num_tokens": 3284771.0, + "step": 1845 + }, + { + "entropy": 6.261059379577636, + "epoch": 0.0951572666718103, + "grad_norm": 0.94921875, + "learning_rate": 0.0004167801210167081, + "loss": 6.0138, + "mean_token_accuracy": 0.13305832222104072, + "num_tokens": 3294091.0, + "step": 1850 + }, + { + "entropy": 6.248409795761108, + "epoch": 0.09541444847362601, + "grad_norm": 1.078125, + "learning_rate": 0.0004158634050882861, + "loss": 5.8796, + "mean_token_accuracy": 0.13779047578573228, + "num_tokens": 3302572.0, + "step": 1855 + }, + { + "entropy": 6.177290248870849, + "epoch": 0.0956716302754417, + "grad_norm": 1.0546875, + "learning_rate": 0.0004149428273184569, + "loss": 5.9015, + "mean_token_accuracy": 0.14134511575102807, + "num_tokens": 3310709.0, + "step": 1860 + }, + { + "entropy": 6.239241313934326, + "epoch": 0.09592881207725741, + "grad_norm": 1.078125, + "learning_rate": 0.0004140184129453253, + "loss": 5.9881, + "mean_token_accuracy": 0.13656110763549806, + "num_tokens": 3319959.0, + "step": 1865 + }, + { + "entropy": 6.237763357162476, + "epoch": 0.09618599387907312, + "grad_norm": 1.09375, + "learning_rate": 0.000413090187312178, + "loss": 5.9338, + "mean_token_accuracy": 0.1348011650145054, + "num_tokens": 3328475.0, + "step": 1870 + }, + { + "entropy": 6.189648580551148, + "epoch": 0.09644317568088882, + "grad_norm": 0.97265625, + "learning_rate": 0.0004121581758667898, + "loss": 6.0114, + "mean_token_accuracy": 0.1303848333656788, + "num_tokens": 3337785.0, + "step": 1875 + }, + { + "entropy": 6.246728134155274, + "epoch": 0.09670035748270453, + "grad_norm": 0.9921875, + "learning_rate": 0.00041122240416072533, + "loss": 5.9514, + "mean_token_accuracy": 0.13871703594923018, + "num_tokens": 3347102.0, + "step": 1880 + }, + { + "entropy": 6.295105886459351, + "epoch": 0.09695753928452022, + "grad_norm": 1.0078125, + "learning_rate": 0.0004102828978486385, + "loss": 5.9854, + "mean_token_accuracy": 0.13081275448203086, + "num_tokens": 3356787.0, + "step": 1885 + }, + { + "entropy": 6.240402698516846, + "epoch": 0.09721472108633593, + "grad_norm": 1.140625, + "learning_rate": 0.0004093396826875695, + "loss": 6.058, + "mean_token_accuracy": 0.1320380300283432, + "num_tokens": 3365497.0, + "step": 1890 + }, + { + "entropy": 6.231711196899414, + "epoch": 0.09747190288815163, + "grad_norm": 1.1015625, + "learning_rate": 0.00040839278453623837, + "loss": 6.0093, + "mean_token_accuracy": 0.13135660141706468, + "num_tokens": 3373622.0, + "step": 1895 + }, + { + "entropy": 6.235841464996338, + "epoch": 0.09772908468996734, + "grad_norm": 1.0, + "learning_rate": 0.0004074422293543363, + "loss": 5.9967, + "mean_token_accuracy": 0.13504694923758506, + "num_tokens": 3382563.0, + "step": 1900 + }, + { + "entropy": 6.295864820480347, + "epoch": 0.09798626649178305, + "grad_norm": 1.15625, + "learning_rate": 0.0004064880432018137, + "loss": 5.8712, + "mean_token_accuracy": 0.14425868391990662, + "num_tokens": 3390686.0, + "step": 1905 + }, + { + "entropy": 6.186135339736938, + "epoch": 0.09824344829359874, + "grad_norm": 1.09375, + "learning_rate": 0.00040553025223816615, + "loss": 5.9351, + "mean_token_accuracy": 0.13617005720734596, + "num_tokens": 3399616.0, + "step": 1910 + }, + { + "entropy": 6.16251573562622, + "epoch": 0.09850063009541445, + "grad_norm": 1.0546875, + "learning_rate": 0.00040456888272171653, + "loss": 5.834, + "mean_token_accuracy": 0.1381289020180702, + "num_tokens": 3407572.0, + "step": 1915 + }, + { + "entropy": 6.25083360671997, + "epoch": 0.09875781189723015, + "grad_norm": 1.046875, + "learning_rate": 0.00040360396100889577, + "loss": 5.9848, + "mean_token_accuracy": 0.13736421391367912, + "num_tokens": 3416174.0, + "step": 1920 + }, + { + "entropy": 6.121949052810669, + "epoch": 0.09901499369904586, + "grad_norm": 0.984375, + "learning_rate": 0.0004026355135535202, + "loss": 5.844, + "mean_token_accuracy": 0.1408976547420025, + "num_tokens": 3425115.0, + "step": 1925 + }, + { + "entropy": 6.129916381835938, + "epoch": 0.09927217550086156, + "grad_norm": 0.98828125, + "learning_rate": 0.000401663566906066, + "loss": 5.8997, + "mean_token_accuracy": 0.14465468153357505, + "num_tokens": 3433589.0, + "step": 1930 + }, + { + "entropy": 6.251618909835815, + "epoch": 0.09952935730267726, + "grad_norm": 1.078125, + "learning_rate": 0.00040068814771294134, + "loss": 5.9948, + "mean_token_accuracy": 0.14055624082684517, + "num_tokens": 3443205.0, + "step": 1935 + }, + { + "entropy": 6.300161504745484, + "epoch": 0.09978653910449296, + "grad_norm": 1.1796875, + "learning_rate": 0.0003997092827157562, + "loss": 5.9464, + "mean_token_accuracy": 0.136979528516531, + "num_tokens": 3451738.0, + "step": 1940 + }, + { + "entropy": 6.163929224014282, + "epoch": 0.10004372090630867, + "grad_norm": 1.046875, + "learning_rate": 0.000398726998750589, + "loss": 5.9042, + "mean_token_accuracy": 0.1414563961327076, + "num_tokens": 3461201.0, + "step": 1945 + }, + { + "entropy": 6.146855640411377, + "epoch": 0.10030090270812438, + "grad_norm": 1.1640625, + "learning_rate": 0.00039774132274725076, + "loss": 5.9047, + "mean_token_accuracy": 0.1325928770005703, + "num_tokens": 3470788.0, + "step": 1950 + }, + { + "entropy": 6.3281749248504635, + "epoch": 0.10055808450994008, + "grad_norm": 1.1171875, + "learning_rate": 0.00039675228172854707, + "loss": 6.0299, + "mean_token_accuracy": 0.13255303725600243, + "num_tokens": 3480143.0, + "step": 1955 + }, + { + "entropy": 6.215788984298706, + "epoch": 0.10081526631175577, + "grad_norm": 1.078125, + "learning_rate": 0.0003957599028095371, + "loss": 5.9038, + "mean_token_accuracy": 0.14231238663196563, + "num_tokens": 3488217.0, + "step": 1960 + }, + { + "entropy": 6.2849045753479, + "epoch": 0.10107244811357148, + "grad_norm": 1.0, + "learning_rate": 0.00039476421319679017, + "loss": 6.0992, + "mean_token_accuracy": 0.1307053431868553, + "num_tokens": 3496960.0, + "step": 1965 + }, + { + "entropy": 6.365100383758545, + "epoch": 0.10132962991538719, + "grad_norm": 1.0625, + "learning_rate": 0.00039376524018764, + "loss": 6.0058, + "mean_token_accuracy": 0.1358587734401226, + "num_tokens": 3506314.0, + "step": 1970 + }, + { + "entropy": 6.257384538650513, + "epoch": 0.1015868117172029, + "grad_norm": 1.0546875, + "learning_rate": 0.00039276301116943616, + "loss": 5.9707, + "mean_token_accuracy": 0.14363735169172287, + "num_tokens": 3514425.0, + "step": 1975 + }, + { + "entropy": 6.19381799697876, + "epoch": 0.1018439935190186, + "grad_norm": 1.0546875, + "learning_rate": 0.0003917575536187936, + "loss": 5.9653, + "mean_token_accuracy": 0.1379447251558304, + "num_tokens": 3524153.0, + "step": 1980 + }, + { + "entropy": 6.209758520126343, + "epoch": 0.10210117532083429, + "grad_norm": 1.0859375, + "learning_rate": 0.00039074889510083894, + "loss": 5.8675, + "mean_token_accuracy": 0.14806670546531678, + "num_tokens": 3532252.0, + "step": 1985 + }, + { + "entropy": 6.207709884643554, + "epoch": 0.10235835712265, + "grad_norm": 1.0859375, + "learning_rate": 0.00038973706326845495, + "loss": 5.9073, + "mean_token_accuracy": 0.13528766930103303, + "num_tokens": 3540689.0, + "step": 1990 + }, + { + "entropy": 6.209512042999267, + "epoch": 0.1026155389244657, + "grad_norm": 1.0625, + "learning_rate": 0.0003887220858615225, + "loss": 5.9125, + "mean_token_accuracy": 0.14427549242973328, + "num_tokens": 3549110.0, + "step": 1995 + }, + { + "entropy": 6.194009447097779, + "epoch": 0.10287272072628141, + "grad_norm": 1.015625, + "learning_rate": 0.0003877039907061597, + "loss": 5.8742, + "mean_token_accuracy": 0.14361105114221573, + "num_tokens": 3558252.0, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 4000, + "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": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 706424604917760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +}