{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 7.9888, "eval_steps": 100, "global_step": 2500, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 1.9365717947483063, "epoch": 0.032, "grad_norm": 245.0, "learning_rate": 1.8e-07, "loss": 6.202, "mean_token_accuracy": 0.2543207791633904, "num_tokens": 144208.0, "step": 10 }, { "entropy": 1.9173382006585598, "epoch": 0.064, "grad_norm": 230.0, "learning_rate": 3.8e-07, "loss": 6.1081, "mean_token_accuracy": 0.25344993276521566, "num_tokens": 285280.0, "step": 20 }, { "entropy": 1.9177092142403125, "epoch": 0.096, "grad_norm": 246.0, "learning_rate": 5.800000000000001e-07, "loss": 5.9977, "mean_token_accuracy": 0.25974713498726487, "num_tokens": 430075.0, "step": 30 }, { "entropy": 1.9969916075468064, "epoch": 0.128, "grad_norm": 218.0, "learning_rate": 7.8e-07, "loss": 5.7736, "mean_token_accuracy": 0.25647984803654256, "num_tokens": 574626.0, "step": 40 }, { "entropy": 2.0409375332295894, "epoch": 0.16, "grad_norm": 198.0, "learning_rate": 9.800000000000001e-07, "loss": 5.4968, "mean_token_accuracy": 0.25714964754879477, "num_tokens": 721064.0, "step": 50 }, { "entropy": 2.080457562953234, "epoch": 0.192, "grad_norm": 141.0, "learning_rate": 1.1800000000000001e-06, "loss": 4.9089, "mean_token_accuracy": 0.2747303694486618, "num_tokens": 865275.0, "step": 60 }, { "entropy": 2.1661732770502566, "epoch": 0.224, "grad_norm": 95.0, "learning_rate": 1.3800000000000001e-06, "loss": 4.2411, "mean_token_accuracy": 0.3079248811118305, "num_tokens": 1005142.0, "step": 70 }, { "entropy": 2.440109082311392, "epoch": 0.256, "grad_norm": 65.5, "learning_rate": 1.5800000000000001e-06, "loss": 3.7265, "mean_token_accuracy": 0.32527065742760897, "num_tokens": 1147262.0, "step": 80 }, { "entropy": 2.6965860120952128, "epoch": 0.288, "grad_norm": 43.75, "learning_rate": 1.7800000000000001e-06, "loss": 3.3189, "mean_token_accuracy": 0.3538851010613143, "num_tokens": 1283845.0, "step": 90 }, { "entropy": 2.7403977632522585, "epoch": 0.32, "grad_norm": 26.25, "learning_rate": 1.98e-06, "loss": 3.0218, "mean_token_accuracy": 0.3812081998214126, "num_tokens": 1430551.0, "step": 100 }, { "epoch": 0.32, "eval_coding_entropy": 2.1376109790802, "eval_coding_loss": 2.211063861846924, "eval_coding_mean_token_accuracy": 0.4966651816368103, "eval_coding_num_tokens": 1430551.0, "eval_coding_runtime": 81.7119, "eval_coding_samples_per_second": 6.119, "eval_coding_steps_per_second": 3.06, "step": 100 }, { "epoch": 0.32, "eval_math_entropy": 2.7154639225006103, "eval_math_loss": 2.8518309593200684, "eval_math_mean_token_accuracy": 0.402160507440567, "eval_math_num_tokens": 1430551.0, "eval_math_runtime": 46.4902, "eval_math_samples_per_second": 10.755, "eval_math_steps_per_second": 5.377, "step": 100 }, { "entropy": 2.6445168428123, "epoch": 0.352, "grad_norm": 22.25, "learning_rate": 2.1800000000000003e-06, "loss": 2.7264, "mean_token_accuracy": 0.41560478005558255, "num_tokens": 1573121.0, "step": 110 }, { "entropy": 2.5231464847922327, "epoch": 0.384, "grad_norm": 17.5, "learning_rate": 2.38e-06, "loss": 2.597, "mean_token_accuracy": 0.4375463806092739, "num_tokens": 1714945.0, "step": 120 }, { "entropy": 2.426661425083876, "epoch": 0.416, "grad_norm": 18.875, "learning_rate": 2.5800000000000003e-06, "loss": 2.4805, "mean_token_accuracy": 0.45005974899977447, "num_tokens": 1851617.0, "step": 130 }, { "entropy": 2.3277198508381844, "epoch": 0.448, "grad_norm": 22.0, "learning_rate": 2.7800000000000005e-06, "loss": 2.3694, "mean_token_accuracy": 0.4707961905747652, "num_tokens": 1994075.0, "step": 140 }, { "entropy": 2.2954090014100075, "epoch": 0.48, "grad_norm": 20.875, "learning_rate": 2.9800000000000003e-06, "loss": 2.3273, "mean_token_accuracy": 0.4766052259132266, "num_tokens": 2136748.0, "step": 150 }, { "entropy": 2.2432560376822948, "epoch": 0.512, "grad_norm": 15.1875, "learning_rate": 3.1800000000000005e-06, "loss": 2.2433, "mean_token_accuracy": 0.4955187674611807, "num_tokens": 2276430.0, "step": 160 }, { "entropy": 2.1506235644221308, "epoch": 0.544, "grad_norm": 20.375, "learning_rate": 3.3800000000000007e-06, "loss": 2.1835, "mean_token_accuracy": 0.5024478340521454, "num_tokens": 2420005.0, "step": 170 }, { "entropy": 2.173030565679073, "epoch": 0.576, "grad_norm": 21.25, "learning_rate": 3.58e-06, "loss": 2.2005, "mean_token_accuracy": 0.5029806947335601, "num_tokens": 2567140.0, "step": 180 }, { "entropy": 2.067853280156851, "epoch": 0.608, "grad_norm": 15.625, "learning_rate": 3.7800000000000002e-06, "loss": 2.0934, "mean_token_accuracy": 0.52086176071316, "num_tokens": 2707769.0, "step": 190 }, { "entropy": 2.0607680074870585, "epoch": 0.64, "grad_norm": 16.125, "learning_rate": 3.980000000000001e-06, "loss": 2.0413, "mean_token_accuracy": 0.5280526082962751, "num_tokens": 2851391.0, "step": 200 }, { "epoch": 0.64, "eval_coding_entropy": 2.082627496242523, "eval_coding_loss": 2.0564982891082764, "eval_coding_mean_token_accuracy": 0.5250193012952804, "eval_coding_num_tokens": 2851391.0, "eval_coding_runtime": 81.149, "eval_coding_samples_per_second": 6.162, "eval_coding_steps_per_second": 3.081, "step": 200 }, { "epoch": 0.64, "eval_math_entropy": 2.0227903814315797, "eval_math_loss": 2.056239604949951, "eval_math_mean_token_accuracy": 0.5309821690320968, "eval_math_num_tokens": 2851391.0, "eval_math_runtime": 46.4944, "eval_math_samples_per_second": 10.754, "eval_math_steps_per_second": 5.377, "step": 200 }, { "entropy": 2.0263434551656245, "epoch": 0.672, "grad_norm": 15.6875, "learning_rate": 4.18e-06, "loss": 2.0178, "mean_token_accuracy": 0.5313251735642552, "num_tokens": 2997713.0, "step": 210 }, { "entropy": 2.0123437851667405, "epoch": 0.704, "grad_norm": 17.375, "learning_rate": 4.38e-06, "loss": 2.0443, "mean_token_accuracy": 0.5295042948797345, "num_tokens": 3141249.0, "step": 220 }, { "entropy": 2.039450883120298, "epoch": 0.736, "grad_norm": 18.5, "learning_rate": 4.58e-06, "loss": 2.0519, "mean_token_accuracy": 0.5338158709928393, "num_tokens": 3279135.0, "step": 230 }, { "entropy": 1.9529575437307358, "epoch": 0.768, "grad_norm": 15.4375, "learning_rate": 4.78e-06, "loss": 1.9503, "mean_token_accuracy": 0.5456137385219335, "num_tokens": 3429580.0, "step": 240 }, { "entropy": 1.9847303189337253, "epoch": 0.8, "grad_norm": 18.875, "learning_rate": 4.980000000000001e-06, "loss": 1.9973, "mean_token_accuracy": 0.5430868744850159, "num_tokens": 3574102.0, "step": 250 }, { "entropy": 1.941353114694357, "epoch": 0.832, "grad_norm": 17.625, "learning_rate": 5.18e-06, "loss": 1.9468, "mean_token_accuracy": 0.5475187944248319, "num_tokens": 3711682.0, "step": 260 }, { "entropy": 1.8798863902688026, "epoch": 0.864, "grad_norm": 21.0, "learning_rate": 5.380000000000001e-06, "loss": 1.873, "mean_token_accuracy": 0.5597963750362396, "num_tokens": 3855113.0, "step": 270 }, { "entropy": 1.835599235445261, "epoch": 0.896, "grad_norm": 14.375, "learning_rate": 5.580000000000001e-06, "loss": 1.8228, "mean_token_accuracy": 0.5651934513822198, "num_tokens": 3995349.0, "step": 280 }, { "entropy": 1.8507938131690025, "epoch": 0.928, "grad_norm": 16.875, "learning_rate": 5.78e-06, "loss": 1.8394, "mean_token_accuracy": 0.5661519970744848, "num_tokens": 4135852.0, "step": 290 }, { "entropy": 1.8499364234507083, "epoch": 0.96, "grad_norm": 16.75, "learning_rate": 5.98e-06, "loss": 1.8409, "mean_token_accuracy": 0.5702653925865888, "num_tokens": 4274655.0, "step": 300 }, { "epoch": 0.96, "eval_coding_entropy": 2.037804766178131, "eval_coding_loss": 2.022986650466919, "eval_coding_mean_token_accuracy": 0.5313419116735458, "eval_coding_num_tokens": 4274655.0, "eval_coding_runtime": 81.1157, "eval_coding_samples_per_second": 6.164, "eval_coding_steps_per_second": 3.082, "step": 300 }, { "epoch": 0.96, "eval_math_entropy": 1.802053134918213, "eval_math_loss": 1.8271188735961914, "eval_math_mean_token_accuracy": 0.5726956763267517, "eval_math_num_tokens": 4274655.0, "eval_math_runtime": 46.5128, "eval_math_samples_per_second": 10.75, "eval_math_steps_per_second": 5.375, "step": 300 }, { "entropy": 1.8301428437232972, "epoch": 0.992, "grad_norm": 17.25, "learning_rate": 6.18e-06, "loss": 1.8206, "mean_token_accuracy": 0.569915696978569, "num_tokens": 4415600.0, "step": 310 }, { "entropy": 1.8003562704512948, "epoch": 1.0224, "grad_norm": 12.75, "learning_rate": 6.380000000000001e-06, "loss": 1.7748, "mean_token_accuracy": 0.5778473768579332, "num_tokens": 4551683.0, "step": 320 }, { "entropy": 1.7793153546750546, "epoch": 1.0544, "grad_norm": 15.125, "learning_rate": 6.5800000000000005e-06, "loss": 1.7851, "mean_token_accuracy": 0.579111011326313, "num_tokens": 4693696.0, "step": 330 }, { "entropy": 1.7894929252564906, "epoch": 1.0864, "grad_norm": 14.625, "learning_rate": 6.780000000000001e-06, "loss": 1.7635, "mean_token_accuracy": 0.5829346276819706, "num_tokens": 4834396.0, "step": 340 }, { "entropy": 1.7216685689985751, "epoch": 1.1184, "grad_norm": 15.1875, "learning_rate": 6.98e-06, "loss": 1.7294, "mean_token_accuracy": 0.5859142445027828, "num_tokens": 4971857.0, "step": 350 }, { "entropy": 1.795823823660612, "epoch": 1.1504, "grad_norm": 19.0, "learning_rate": 7.180000000000001e-06, "loss": 1.7665, "mean_token_accuracy": 0.5832353200763464, "num_tokens": 5110683.0, "step": 360 }, { "entropy": 1.7300004258751869, "epoch": 1.1824, "grad_norm": 13.625, "learning_rate": 7.3800000000000005e-06, "loss": 1.6956, "mean_token_accuracy": 0.589705759473145, "num_tokens": 5252621.0, "step": 370 }, { "entropy": 1.6924258664250373, "epoch": 1.2144, "grad_norm": 18.875, "learning_rate": 7.58e-06, "loss": 1.687, "mean_token_accuracy": 0.5896685650572181, "num_tokens": 5394768.0, "step": 380 }, { "entropy": 1.754713100194931, "epoch": 1.2464, "grad_norm": 12.5, "learning_rate": 7.78e-06, "loss": 1.7225, "mean_token_accuracy": 0.5889439214020967, "num_tokens": 5533439.0, "step": 390 }, { "entropy": 1.704547866433859, "epoch": 1.2784, "grad_norm": 20.5, "learning_rate": 7.980000000000002e-06, "loss": 1.6608, "mean_token_accuracy": 0.599461050145328, "num_tokens": 5670712.0, "step": 400 }, { "epoch": 1.2784, "eval_coding_entropy": 1.9745532732009887, "eval_coding_loss": 2.004408359527588, "eval_coding_mean_token_accuracy": 0.5342881647348404, "eval_coding_num_tokens": 5670712.0, "eval_coding_runtime": 81.3362, "eval_coding_samples_per_second": 6.147, "eval_coding_steps_per_second": 3.074, "step": 400 }, { "epoch": 1.2784, "eval_math_entropy": 1.6563503637313843, "eval_math_loss": 1.6785366535186768, "eval_math_mean_token_accuracy": 0.6000865260362626, "eval_math_num_tokens": 5670712.0, "eval_math_runtime": 46.6244, "eval_math_samples_per_second": 10.724, "eval_math_steps_per_second": 5.362, "step": 400 }, { "entropy": 1.6839238464832307, "epoch": 1.3104, "grad_norm": 16.625, "learning_rate": 8.18e-06, "loss": 1.6869, "mean_token_accuracy": 0.5953959075734019, "num_tokens": 5813458.0, "step": 410 }, { "entropy": 1.6726863503456115, "epoch": 1.3424, "grad_norm": 12.75, "learning_rate": 8.380000000000001e-06, "loss": 1.6315, "mean_token_accuracy": 0.6037707706913352, "num_tokens": 5951880.0, "step": 420 }, { "entropy": 1.6084760576486588, "epoch": 1.3744, "grad_norm": 14.3125, "learning_rate": 8.580000000000001e-06, "loss": 1.5881, "mean_token_accuracy": 0.6148429989814759, "num_tokens": 6098256.0, "step": 430 }, { "entropy": 1.6628840889781713, "epoch": 1.4064, "grad_norm": 15.6875, "learning_rate": 8.78e-06, "loss": 1.6761, "mean_token_accuracy": 0.6000858852639794, "num_tokens": 6242646.0, "step": 440 }, { "entropy": 1.6300812467932702, "epoch": 1.4384000000000001, "grad_norm": 21.25, "learning_rate": 8.98e-06, "loss": 1.6003, "mean_token_accuracy": 0.6083745462819934, "num_tokens": 6386025.0, "step": 450 }, { "entropy": 1.6391606278717519, "epoch": 1.4704, "grad_norm": 20.375, "learning_rate": 9.180000000000002e-06, "loss": 1.6273, "mean_token_accuracy": 0.6097741341218352, "num_tokens": 6533075.0, "step": 460 }, { "entropy": 1.6905927129089833, "epoch": 1.5024, "grad_norm": 15.375, "learning_rate": 9.38e-06, "loss": 1.6572, "mean_token_accuracy": 0.6046760326251388, "num_tokens": 6677208.0, "step": 470 }, { "entropy": 1.6522716350853444, "epoch": 1.5344, "grad_norm": 13.5, "learning_rate": 9.58e-06, "loss": 1.6494, "mean_token_accuracy": 0.6073551412671805, "num_tokens": 6814455.0, "step": 480 }, { "entropy": 1.6329746030271053, "epoch": 1.5664, "grad_norm": 13.6875, "learning_rate": 9.780000000000001e-06, "loss": 1.5924, "mean_token_accuracy": 0.614310959354043, "num_tokens": 6958149.0, "step": 490 }, { "entropy": 1.5567305848002433, "epoch": 1.5984, "grad_norm": 12.6875, "learning_rate": 9.980000000000001e-06, "loss": 1.5416, "mean_token_accuracy": 0.6263186866417527, "num_tokens": 7099528.0, "step": 500 }, { "epoch": 1.5984, "eval_coding_entropy": 1.9465989785194397, "eval_coding_loss": 1.990442156791687, "eval_coding_mean_token_accuracy": 0.5386206238269806, "eval_coding_num_tokens": 7099528.0, "eval_coding_runtime": 81.2403, "eval_coding_samples_per_second": 6.155, "eval_coding_steps_per_second": 3.077, "step": 500 }, { "epoch": 1.5984, "eval_math_entropy": 1.5453263101577759, "eval_math_loss": 1.5754268169403076, "eval_math_mean_token_accuracy": 0.6199949022531509, "eval_math_num_tokens": 7099528.0, "eval_math_runtime": 45.9145, "eval_math_samples_per_second": 10.89, "eval_math_steps_per_second": 5.445, "step": 500 }, { "entropy": 1.5644792415201665, "epoch": 1.6303999999999998, "grad_norm": 15.5625, "learning_rate": 1.018e-05, "loss": 1.5511, "mean_token_accuracy": 0.6213703533634544, "num_tokens": 7241222.0, "step": 510 }, { "entropy": 1.6044137500226499, "epoch": 1.6623999999999999, "grad_norm": 14.6875, "learning_rate": 1.038e-05, "loss": 1.5761, "mean_token_accuracy": 0.6146464478224516, "num_tokens": 7387899.0, "step": 520 }, { "entropy": 1.5174766711890697, "epoch": 1.6944, "grad_norm": 14.4375, "learning_rate": 1.0580000000000002e-05, "loss": 1.515, "mean_token_accuracy": 0.6280366148799658, "num_tokens": 7535577.0, "step": 530 }, { "entropy": 1.5012709453701973, "epoch": 1.7264, "grad_norm": 18.0, "learning_rate": 1.0780000000000002e-05, "loss": 1.4795, "mean_token_accuracy": 0.6314780458807945, "num_tokens": 7679139.0, "step": 540 }, { "entropy": 1.557135234773159, "epoch": 1.7584, "grad_norm": 21.0, "learning_rate": 1.0980000000000002e-05, "loss": 1.5279, "mean_token_accuracy": 0.6282323149964213, "num_tokens": 7821116.0, "step": 550 }, { "entropy": 1.5534105684608221, "epoch": 1.7904, "grad_norm": 15.9375, "learning_rate": 1.1180000000000001e-05, "loss": 1.5329, "mean_token_accuracy": 0.6273708928376436, "num_tokens": 7955945.0, "step": 560 }, { "entropy": 1.5024470299482346, "epoch": 1.8224, "grad_norm": 16.75, "learning_rate": 1.138e-05, "loss": 1.5027, "mean_token_accuracy": 0.6360822120681405, "num_tokens": 8098517.0, "step": 570 }, { "entropy": 1.468005495518446, "epoch": 1.8544, "grad_norm": 14.75, "learning_rate": 1.1580000000000001e-05, "loss": 1.4433, "mean_token_accuracy": 0.6402354558929801, "num_tokens": 8247652.0, "step": 580 }, { "entropy": 1.4894821517169476, "epoch": 1.8864, "grad_norm": 15.125, "learning_rate": 1.178e-05, "loss": 1.4651, "mean_token_accuracy": 0.6387512655928731, "num_tokens": 8390969.0, "step": 590 }, { "entropy": 1.5070936933159829, "epoch": 1.9184, "grad_norm": 14.625, "learning_rate": 1.198e-05, "loss": 1.4912, "mean_token_accuracy": 0.6379801956936717, "num_tokens": 8532905.0, "step": 600 }, { "epoch": 1.9184, "eval_coding_entropy": 1.9700443706512452, "eval_coding_loss": 1.9896337985992432, "eval_coding_mean_token_accuracy": 0.5387515650987625, "eval_coding_num_tokens": 8532905.0, "eval_coding_runtime": 81.1982, "eval_coding_samples_per_second": 6.158, "eval_coding_steps_per_second": 3.079, "step": 600 }, { "epoch": 1.9184, "eval_math_entropy": 1.479466641664505, "eval_math_loss": 1.4867653846740723, "eval_math_mean_token_accuracy": 0.6389840010404587, "eval_math_num_tokens": 8532905.0, "eval_math_runtime": 46.5533, "eval_math_samples_per_second": 10.74, "eval_math_steps_per_second": 5.37, "step": 600 }, { "entropy": 1.5151923824101687, "epoch": 1.9504000000000001, "grad_norm": 17.125, "learning_rate": 1.218e-05, "loss": 1.4863, "mean_token_accuracy": 0.6339302582666277, "num_tokens": 8676028.0, "step": 610 }, { "entropy": 1.468616184964776, "epoch": 1.9824000000000002, "grad_norm": 14.5, "learning_rate": 1.2380000000000002e-05, "loss": 1.4732, "mean_token_accuracy": 0.6385495683178306, "num_tokens": 8817323.0, "step": 620 }, { "entropy": 1.5188211822196056, "epoch": 2.0128, "grad_norm": 14.4375, "learning_rate": 1.2580000000000002e-05, "loss": 1.4835, "mean_token_accuracy": 0.634301284426137, "num_tokens": 8949173.0, "step": 630 }, { "entropy": 1.3755222257226705, "epoch": 2.0448, "grad_norm": 12.9375, "learning_rate": 1.2780000000000001e-05, "loss": 1.3601, "mean_token_accuracy": 0.6608490329235792, "num_tokens": 9085612.0, "step": 640 }, { "entropy": 1.4207779351621865, "epoch": 2.0768, "grad_norm": 13.9375, "learning_rate": 1.2980000000000001e-05, "loss": 1.4097, "mean_token_accuracy": 0.6495957912877202, "num_tokens": 9233211.0, "step": 650 }, { "entropy": 1.437428993731737, "epoch": 2.1088, "grad_norm": 17.5, "learning_rate": 1.3180000000000001e-05, "loss": 1.4124, "mean_token_accuracy": 0.6517477501183748, "num_tokens": 9376523.0, "step": 660 }, { "entropy": 1.3855586621910334, "epoch": 2.1408, "grad_norm": 14.75, "learning_rate": 1.3380000000000002e-05, "loss": 1.3542, "mean_token_accuracy": 0.6590309431776404, "num_tokens": 9523963.0, "step": 670 }, { "entropy": 1.4285461019724608, "epoch": 2.1728, "grad_norm": 16.375, "learning_rate": 1.3580000000000002e-05, "loss": 1.4063, "mean_token_accuracy": 0.6481046233326196, "num_tokens": 9670446.0, "step": 680 }, { "entropy": 1.389345682412386, "epoch": 2.2048, "grad_norm": 14.5625, "learning_rate": 1.378e-05, "loss": 1.368, "mean_token_accuracy": 0.6584958679974079, "num_tokens": 9809324.0, "step": 690 }, { "entropy": 1.4275502871721983, "epoch": 2.2368, "grad_norm": 14.875, "learning_rate": 1.398e-05, "loss": 1.4041, "mean_token_accuracy": 0.6543006511405111, "num_tokens": 9943194.0, "step": 700 }, { "epoch": 2.2368, "eval_coding_entropy": 1.8811444640159607, "eval_coding_loss": 1.999657154083252, "eval_coding_mean_token_accuracy": 0.5383623929023743, "eval_coding_num_tokens": 9943194.0, "eval_coding_runtime": 80.9539, "eval_coding_samples_per_second": 6.176, "eval_coding_steps_per_second": 3.088, "step": 700 }, { "epoch": 2.2368, "eval_math_entropy": 1.3948393285274505, "eval_math_loss": 1.4332354068756104, "eval_math_mean_token_accuracy": 0.6499490721225738, "eval_math_num_tokens": 9943194.0, "eval_math_runtime": 46.0836, "eval_math_samples_per_second": 10.85, "eval_math_steps_per_second": 5.425, "step": 700 }, { "entropy": 1.407985271140933, "epoch": 2.2688, "grad_norm": 16.625, "learning_rate": 1.418e-05, "loss": 1.3837, "mean_token_accuracy": 0.6551688494160771, "num_tokens": 10087633.0, "step": 710 }, { "entropy": 1.378972141817212, "epoch": 2.3008, "grad_norm": 13.375, "learning_rate": 1.4380000000000001e-05, "loss": 1.3544, "mean_token_accuracy": 0.6556477602571249, "num_tokens": 10229382.0, "step": 720 }, { "entropy": 1.354974314570427, "epoch": 2.3327999999999998, "grad_norm": 14.9375, "learning_rate": 1.4580000000000001e-05, "loss": 1.3344, "mean_token_accuracy": 0.6645016176626086, "num_tokens": 10376268.0, "step": 730 }, { "entropy": 1.3568570345640183, "epoch": 2.3648, "grad_norm": 17.75, "learning_rate": 1.478e-05, "loss": 1.3345, "mean_token_accuracy": 0.6638497773557901, "num_tokens": 10518064.0, "step": 740 }, { "entropy": 1.418501327931881, "epoch": 2.3968, "grad_norm": 15.5625, "learning_rate": 1.498e-05, "loss": 1.3993, "mean_token_accuracy": 0.6545212138444185, "num_tokens": 10654090.0, "step": 750 }, { "entropy": 1.3498825568705797, "epoch": 2.4288, "grad_norm": 14.8125, "learning_rate": 1.5180000000000002e-05, "loss": 1.3302, "mean_token_accuracy": 0.6608284536749125, "num_tokens": 10803539.0, "step": 760 }, { "entropy": 1.3939791657030582, "epoch": 2.4608, "grad_norm": 15.1875, "learning_rate": 1.5380000000000002e-05, "loss": 1.3721, "mean_token_accuracy": 0.6571606319397688, "num_tokens": 10951500.0, "step": 770 }, { "entropy": 1.4095406230539083, "epoch": 2.4928, "grad_norm": 12.6875, "learning_rate": 1.5580000000000003e-05, "loss": 1.3827, "mean_token_accuracy": 0.6542418278753758, "num_tokens": 11089421.0, "step": 780 }, { "entropy": 1.3628040976822375, "epoch": 2.5248, "grad_norm": 16.0, "learning_rate": 1.578e-05, "loss": 1.3434, "mean_token_accuracy": 0.6625945869833231, "num_tokens": 11233056.0, "step": 790 }, { "entropy": 1.353104681521654, "epoch": 2.5568, "grad_norm": 13.5, "learning_rate": 1.5980000000000003e-05, "loss": 1.3441, "mean_token_accuracy": 0.663878696039319, "num_tokens": 11382658.0, "step": 800 }, { "epoch": 2.5568, "eval_coding_entropy": 1.88368141412735, "eval_coding_loss": 2.0113229751586914, "eval_coding_mean_token_accuracy": 0.5368727495670319, "eval_coding_num_tokens": 11382658.0, "eval_coding_runtime": 80.7647, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.095, "step": 800 }, { "epoch": 2.5568, "eval_math_entropy": 1.3451528911590576, "eval_math_loss": 1.3778893947601318, "eval_math_mean_token_accuracy": 0.6607881124019623, "eval_math_num_tokens": 11382658.0, "eval_math_runtime": 46.1509, "eval_math_samples_per_second": 10.834, "eval_math_steps_per_second": 5.417, "step": 800 }, { "entropy": 1.3698780447244645, "epoch": 2.5888, "grad_norm": 14.0625, "learning_rate": 1.618e-05, "loss": 1.3446, "mean_token_accuracy": 0.667889142036438, "num_tokens": 11520248.0, "step": 810 }, { "entropy": 1.3439954832196235, "epoch": 2.6208, "grad_norm": 13.25, "learning_rate": 1.638e-05, "loss": 1.3411, "mean_token_accuracy": 0.6649587988853455, "num_tokens": 11662426.0, "step": 820 }, { "entropy": 1.3382667150348424, "epoch": 2.6528, "grad_norm": 15.125, "learning_rate": 1.658e-05, "loss": 1.2968, "mean_token_accuracy": 0.667837655171752, "num_tokens": 11801529.0, "step": 830 }, { "entropy": 1.3607995260506869, "epoch": 2.6848, "grad_norm": 12.8125, "learning_rate": 1.6780000000000002e-05, "loss": 1.3342, "mean_token_accuracy": 0.6632724912837148, "num_tokens": 11945073.0, "step": 840 }, { "entropy": 1.340226661413908, "epoch": 2.7168, "grad_norm": 18.375, "learning_rate": 1.698e-05, "loss": 1.3183, "mean_token_accuracy": 0.6692224076017738, "num_tokens": 12086334.0, "step": 850 }, { "entropy": 1.3257515206933022, "epoch": 2.7488, "grad_norm": 17.75, "learning_rate": 1.718e-05, "loss": 1.3204, "mean_token_accuracy": 0.6661742279306054, "num_tokens": 12227580.0, "step": 860 }, { "entropy": 1.2998232152312994, "epoch": 2.7808, "grad_norm": 14.0, "learning_rate": 1.7380000000000003e-05, "loss": 1.2841, "mean_token_accuracy": 0.6723095076158643, "num_tokens": 12366568.0, "step": 870 }, { "entropy": 1.321110926195979, "epoch": 2.8128, "grad_norm": 14.1875, "learning_rate": 1.758e-05, "loss": 1.2809, "mean_token_accuracy": 0.6734412474557757, "num_tokens": 12508616.0, "step": 880 }, { "entropy": 1.3441704627126456, "epoch": 2.8448, "grad_norm": 14.5625, "learning_rate": 1.7780000000000003e-05, "loss": 1.3264, "mean_token_accuracy": 0.6696716655045748, "num_tokens": 12651142.0, "step": 890 }, { "entropy": 1.350888105481863, "epoch": 2.8768000000000002, "grad_norm": 13.125, "learning_rate": 1.798e-05, "loss": 1.3305, "mean_token_accuracy": 0.6628765376284719, "num_tokens": 12790697.0, "step": 900 }, { "epoch": 2.8768000000000002, "eval_coding_entropy": 1.923588216304779, "eval_coding_loss": 2.011129379272461, "eval_coding_mean_token_accuracy": 0.5363702869415283, "eval_coding_num_tokens": 12790697.0, "eval_coding_runtime": 80.767, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.095, "step": 900 }, { "epoch": 2.8768000000000002, "eval_math_entropy": 1.3416466426849365, "eval_math_loss": 1.3308217525482178, "eval_math_mean_token_accuracy": 0.6704786785840988, "eval_math_num_tokens": 12790697.0, "eval_math_runtime": 46.0849, "eval_math_samples_per_second": 10.85, "eval_math_steps_per_second": 5.425, "step": 900 }, { "entropy": 1.3483149357140065, "epoch": 2.9088000000000003, "grad_norm": 11.875, "learning_rate": 1.8180000000000002e-05, "loss": 1.3227, "mean_token_accuracy": 0.6711992308497429, "num_tokens": 12931565.0, "step": 910 }, { "entropy": 1.2966109592467547, "epoch": 2.9408, "grad_norm": 13.4375, "learning_rate": 1.8380000000000004e-05, "loss": 1.2763, "mean_token_accuracy": 0.6791517404839397, "num_tokens": 13073417.0, "step": 920 }, { "entropy": 1.3717037633061409, "epoch": 2.9728, "grad_norm": 13.0, "learning_rate": 1.858e-05, "loss": 1.3564, "mean_token_accuracy": 0.6620129646733404, "num_tokens": 13220708.0, "step": 930 }, { "entropy": 1.3031759885580916, "epoch": 3.0032, "grad_norm": 12.5, "learning_rate": 1.878e-05, "loss": 1.2593, "mean_token_accuracy": 0.6780896206435404, "num_tokens": 13357917.0, "step": 940 }, { "entropy": 1.2132978197187185, "epoch": 3.0352, "grad_norm": 12.125, "learning_rate": 1.898e-05, "loss": 1.2061, "mean_token_accuracy": 0.6939747478812933, "num_tokens": 13504598.0, "step": 950 }, { "entropy": 1.2069394052028657, "epoch": 3.0672, "grad_norm": 11.625, "learning_rate": 1.918e-05, "loss": 1.1756, "mean_token_accuracy": 0.695431136712432, "num_tokens": 13654124.0, "step": 960 }, { "entropy": 1.2009814836084842, "epoch": 3.0992, "grad_norm": 11.0625, "learning_rate": 1.938e-05, "loss": 1.1898, "mean_token_accuracy": 0.6938818197697401, "num_tokens": 13797243.0, "step": 970 }, { "entropy": 1.2126072812825441, "epoch": 3.1312, "grad_norm": 12.0, "learning_rate": 1.9580000000000002e-05, "loss": 1.1748, "mean_token_accuracy": 0.6926786806434393, "num_tokens": 13944269.0, "step": 980 }, { "entropy": 1.2055565655231475, "epoch": 3.1632, "grad_norm": 10.75, "learning_rate": 1.978e-05, "loss": 1.1736, "mean_token_accuracy": 0.6961859103292227, "num_tokens": 14084426.0, "step": 990 }, { "entropy": 1.2099793013185263, "epoch": 3.1952, "grad_norm": 12.8125, "learning_rate": 1.9980000000000002e-05, "loss": 1.1884, "mean_token_accuracy": 0.6956615813076497, "num_tokens": 14225578.0, "step": 1000 }, { "epoch": 3.1952, "eval_coding_entropy": 1.8568685698509215, "eval_coding_loss": 2.0376784801483154, "eval_coding_mean_token_accuracy": 0.5336039383411407, "eval_coding_num_tokens": 14225578.0, "eval_coding_runtime": 81.5817, "eval_coding_samples_per_second": 6.129, "eval_coding_steps_per_second": 3.064, "step": 1000 }, { "epoch": 3.1952, "eval_math_entropy": 1.2256325538158417, "eval_math_loss": 1.2980027198791504, "eval_math_mean_token_accuracy": 0.6779666702747345, "eval_math_num_tokens": 14225578.0, "eval_math_runtime": 46.295, "eval_math_samples_per_second": 10.8, "eval_math_steps_per_second": 5.4, "step": 1000 }, { "entropy": 1.2310455348342657, "epoch": 3.2272, "grad_norm": 11.75, "learning_rate": 1.9980000000000002e-05, "loss": 1.2069, "mean_token_accuracy": 0.6908577650785446, "num_tokens": 14371313.0, "step": 1010 }, { "entropy": 1.2366832181811334, "epoch": 3.2592, "grad_norm": 9.9375, "learning_rate": 1.995777777777778e-05, "loss": 1.2053, "mean_token_accuracy": 0.6909629859030246, "num_tokens": 14510372.0, "step": 1020 }, { "entropy": 1.1998371604830027, "epoch": 3.2912, "grad_norm": 11.1875, "learning_rate": 1.9935555555555557e-05, "loss": 1.1928, "mean_token_accuracy": 0.6971310704946518, "num_tokens": 14654048.0, "step": 1030 }, { "entropy": 1.2052522465586661, "epoch": 3.3232, "grad_norm": 10.6875, "learning_rate": 1.9913333333333335e-05, "loss": 1.1736, "mean_token_accuracy": 0.6949702069163323, "num_tokens": 14799061.0, "step": 1040 }, { "entropy": 1.2304670121520758, "epoch": 3.3552, "grad_norm": 9.125, "learning_rate": 1.9891111111111112e-05, "loss": 1.208, "mean_token_accuracy": 0.6886732917279005, "num_tokens": 14948615.0, "step": 1050 }, { "entropy": 1.195398748293519, "epoch": 3.3872, "grad_norm": 10.4375, "learning_rate": 1.986888888888889e-05, "loss": 1.1855, "mean_token_accuracy": 0.7008309479802847, "num_tokens": 15091830.0, "step": 1060 }, { "entropy": 1.1796185825020076, "epoch": 3.4192, "grad_norm": 11.375, "learning_rate": 1.9846666666666668e-05, "loss": 1.1623, "mean_token_accuracy": 0.7005136132240295, "num_tokens": 15223941.0, "step": 1070 }, { "entropy": 1.1732951115816832, "epoch": 3.4512, "grad_norm": 13.8125, "learning_rate": 1.9824444444444445e-05, "loss": 1.1437, "mean_token_accuracy": 0.7002243742346763, "num_tokens": 15364119.0, "step": 1080 }, { "entropy": 1.1816517032682896, "epoch": 3.4832, "grad_norm": 11.125, "learning_rate": 1.9802222222222226e-05, "loss": 1.1425, "mean_token_accuracy": 0.6995426103472709, "num_tokens": 15508933.0, "step": 1090 }, { "entropy": 1.2135872263461351, "epoch": 3.5152, "grad_norm": 8.75, "learning_rate": 1.978e-05, "loss": 1.1847, "mean_token_accuracy": 0.6952282149344683, "num_tokens": 15654554.0, "step": 1100 }, { "epoch": 3.5152, "eval_coding_entropy": 1.8463355026245116, "eval_coding_loss": 2.0515615940093994, "eval_coding_mean_token_accuracy": 0.5331288994550705, "eval_coding_num_tokens": 15654554.0, "eval_coding_runtime": 80.9144, "eval_coding_samples_per_second": 6.179, "eval_coding_steps_per_second": 3.09, "step": 1100 }, { "epoch": 3.5152, "eval_math_entropy": 1.2076501297950744, "eval_math_loss": 1.240770697593689, "eval_math_mean_token_accuracy": 0.6900603187084198, "eval_math_num_tokens": 15654554.0, "eval_math_runtime": 46.9328, "eval_math_samples_per_second": 10.654, "eval_math_steps_per_second": 5.327, "step": 1100 }, { "entropy": 1.212555281817913, "epoch": 3.5472, "grad_norm": 9.4375, "learning_rate": 1.975777777777778e-05, "loss": 1.1833, "mean_token_accuracy": 0.6934925394132734, "num_tokens": 15793364.0, "step": 1110 }, { "entropy": 1.207034119591117, "epoch": 3.5792, "grad_norm": 10.875, "learning_rate": 1.9735555555555556e-05, "loss": 1.1711, "mean_token_accuracy": 0.697374514490366, "num_tokens": 15935657.0, "step": 1120 }, { "entropy": 1.2222992777824402, "epoch": 3.6112, "grad_norm": 9.9375, "learning_rate": 1.9713333333333337e-05, "loss": 1.2014, "mean_token_accuracy": 0.6935698345303536, "num_tokens": 16077275.0, "step": 1130 }, { "entropy": 1.1657866805791854, "epoch": 3.6432, "grad_norm": 9.4375, "learning_rate": 1.969111111111111e-05, "loss": 1.1546, "mean_token_accuracy": 0.7033114738762378, "num_tokens": 16222318.0, "step": 1140 }, { "entropy": 1.1633354667574167, "epoch": 3.6752000000000002, "grad_norm": 9.25, "learning_rate": 1.9668888888888892e-05, "loss": 1.1251, "mean_token_accuracy": 0.7043058726936579, "num_tokens": 16361855.0, "step": 1150 }, { "entropy": 1.1620853256434203, "epoch": 3.7072000000000003, "grad_norm": 9.75, "learning_rate": 1.9646666666666666e-05, "loss": 1.1342, "mean_token_accuracy": 0.7022159334272147, "num_tokens": 16500375.0, "step": 1160 }, { "entropy": 1.1738709833472967, "epoch": 3.7392, "grad_norm": 10.0625, "learning_rate": 1.9624444444444447e-05, "loss": 1.1561, "mean_token_accuracy": 0.7008879505097866, "num_tokens": 16643092.0, "step": 1170 }, { "entropy": 1.1810582045465707, "epoch": 3.7712, "grad_norm": 8.5625, "learning_rate": 1.9602222222222225e-05, "loss": 1.1661, "mean_token_accuracy": 0.6994068440049886, "num_tokens": 16789527.0, "step": 1180 }, { "entropy": 1.1981235884130002, "epoch": 3.8032, "grad_norm": 9.25, "learning_rate": 1.9580000000000002e-05, "loss": 1.184, "mean_token_accuracy": 0.7009957425296307, "num_tokens": 16930493.0, "step": 1190 }, { "entropy": 1.1709371741861105, "epoch": 3.8352, "grad_norm": 9.25, "learning_rate": 1.955777777777778e-05, "loss": 1.1328, "mean_token_accuracy": 0.7039620807394386, "num_tokens": 17066856.0, "step": 1200 }, { "epoch": 3.8352, "eval_coding_entropy": 1.7909702219963073, "eval_coding_loss": 2.0417468547821045, "eval_coding_mean_token_accuracy": 0.5346206701993942, "eval_coding_num_tokens": 17066856.0, "eval_coding_runtime": 81.4914, "eval_coding_samples_per_second": 6.136, "eval_coding_steps_per_second": 3.068, "step": 1200 }, { "epoch": 3.8352, "eval_math_entropy": 1.1532045022249222, "eval_math_loss": 1.2045187950134277, "eval_math_mean_token_accuracy": 0.6980784633159638, "eval_math_num_tokens": 17066856.0, "eval_math_runtime": 46.8505, "eval_math_samples_per_second": 10.672, "eval_math_steps_per_second": 5.336, "step": 1200 }, { "entropy": 1.156894364207983, "epoch": 3.8672, "grad_norm": 9.0625, "learning_rate": 1.9535555555555557e-05, "loss": 1.1334, "mean_token_accuracy": 0.7076525427401066, "num_tokens": 17205604.0, "step": 1210 }, { "entropy": 1.174615489691496, "epoch": 3.8992, "grad_norm": 8.375, "learning_rate": 1.9513333333333335e-05, "loss": 1.165, "mean_token_accuracy": 0.6988233763724565, "num_tokens": 17348293.0, "step": 1220 }, { "entropy": 1.1527796313166618, "epoch": 3.9312, "grad_norm": 9.3125, "learning_rate": 1.9491111111111113e-05, "loss": 1.1257, "mean_token_accuracy": 0.707377451658249, "num_tokens": 17491463.0, "step": 1230 }, { "entropy": 1.1771091677248477, "epoch": 3.9632, "grad_norm": 10.0625, "learning_rate": 1.946888888888889e-05, "loss": 1.1595, "mean_token_accuracy": 0.7032928232103586, "num_tokens": 17628099.0, "step": 1240 }, { "entropy": 1.1742881268262864, "epoch": 3.9952, "grad_norm": 10.5625, "learning_rate": 1.9446666666666668e-05, "loss": 1.1505, "mean_token_accuracy": 0.7026802890002728, "num_tokens": 17768068.0, "step": 1250 }, { "entropy": 1.0864369343770177, "epoch": 4.0256, "grad_norm": 7.90625, "learning_rate": 1.9424444444444446e-05, "loss": 1.0635, "mean_token_accuracy": 0.7234101566044908, "num_tokens": 17904915.0, "step": 1260 }, { "entropy": 1.0292031805962325, "epoch": 4.0576, "grad_norm": 10.375, "learning_rate": 1.9402222222222223e-05, "loss": 0.9885, "mean_token_accuracy": 0.7318673226982355, "num_tokens": 18050621.0, "step": 1270 }, { "entropy": 1.0440782070159913, "epoch": 4.0896, "grad_norm": 10.75, "learning_rate": 1.938e-05, "loss": 1.0119, "mean_token_accuracy": 0.7287190053611994, "num_tokens": 18195139.0, "step": 1280 }, { "entropy": 1.0936193302273751, "epoch": 4.1216, "grad_norm": 9.5, "learning_rate": 1.935777777777778e-05, "loss": 1.0587, "mean_token_accuracy": 0.7225902825593948, "num_tokens": 18335483.0, "step": 1290 }, { "entropy": 1.0716597214341164, "epoch": 4.1536, "grad_norm": 8.0, "learning_rate": 1.9335555555555556e-05, "loss": 1.0521, "mean_token_accuracy": 0.7205776769667864, "num_tokens": 18471464.0, "step": 1300 }, { "epoch": 4.1536, "eval_coding_entropy": 1.666171245574951, "eval_coding_loss": 2.089735984802246, "eval_coding_mean_token_accuracy": 0.5322686601877212, "eval_coding_num_tokens": 18471464.0, "eval_coding_runtime": 81.1644, "eval_coding_samples_per_second": 6.16, "eval_coding_steps_per_second": 3.08, "step": 1300 }, { "epoch": 4.1536, "eval_math_entropy": 1.060988509297371, "eval_math_loss": 1.184299111366272, "eval_math_mean_token_accuracy": 0.7041985726356507, "eval_math_num_tokens": 18471464.0, "eval_math_runtime": 46.7403, "eval_math_samples_per_second": 10.697, "eval_math_steps_per_second": 5.349, "step": 1300 }, { "entropy": 1.042165393382311, "epoch": 4.1856, "grad_norm": 8.375, "learning_rate": 1.9313333333333334e-05, "loss": 1.0117, "mean_token_accuracy": 0.7323273476213217, "num_tokens": 18613144.0, "step": 1310 }, { "entropy": 1.0549738246947526, "epoch": 4.2176, "grad_norm": 12.0625, "learning_rate": 1.9291111111111115e-05, "loss": 1.0356, "mean_token_accuracy": 0.7262615174055099, "num_tokens": 18757354.0, "step": 1320 }, { "entropy": 0.9945293262600898, "epoch": 4.2496, "grad_norm": 8.5625, "learning_rate": 1.926888888888889e-05, "loss": 0.9893, "mean_token_accuracy": 0.737324832752347, "num_tokens": 18901730.0, "step": 1330 }, { "entropy": 1.0042558293789625, "epoch": 4.2816, "grad_norm": 8.1875, "learning_rate": 1.924666666666667e-05, "loss": 0.976, "mean_token_accuracy": 0.7383205603808165, "num_tokens": 19044725.0, "step": 1340 }, { "entropy": 1.0393657265231013, "epoch": 4.3136, "grad_norm": 8.625, "learning_rate": 1.9224444444444444e-05, "loss": 1.0086, "mean_token_accuracy": 0.7331446453928947, "num_tokens": 19193912.0, "step": 1350 }, { "entropy": 1.0386454924941062, "epoch": 4.3456, "grad_norm": 9.0, "learning_rate": 1.9202222222222225e-05, "loss": 1.0083, "mean_token_accuracy": 0.7298929043114185, "num_tokens": 19336463.0, "step": 1360 }, { "entropy": 1.0017262276262044, "epoch": 4.3776, "grad_norm": 8.3125, "learning_rate": 1.918e-05, "loss": 0.979, "mean_token_accuracy": 0.7369209341704845, "num_tokens": 19482758.0, "step": 1370 }, { "entropy": 1.0357928197830915, "epoch": 4.4096, "grad_norm": 11.25, "learning_rate": 1.915777777777778e-05, "loss": 1.0003, "mean_token_accuracy": 0.7308139387518168, "num_tokens": 19624149.0, "step": 1380 }, { "entropy": 1.0128012642264366, "epoch": 4.4416, "grad_norm": 9.6875, "learning_rate": 1.9135555555555555e-05, "loss": 0.994, "mean_token_accuracy": 0.7347184054553508, "num_tokens": 19762641.0, "step": 1390 }, { "entropy": 1.0030905462801456, "epoch": 4.4736, "grad_norm": 7.96875, "learning_rate": 1.9113333333333336e-05, "loss": 0.9852, "mean_token_accuracy": 0.7376307789236307, "num_tokens": 19906714.0, "step": 1400 }, { "epoch": 4.4736, "eval_coding_entropy": 1.6414423942565919, "eval_coding_loss": 2.086019277572632, "eval_coding_mean_token_accuracy": 0.533721309542656, "eval_coding_num_tokens": 19906714.0, "eval_coding_runtime": 81.4357, "eval_coding_samples_per_second": 6.14, "eval_coding_steps_per_second": 3.07, "step": 1400 }, { "epoch": 4.4736, "eval_math_entropy": 1.023936753153801, "eval_math_loss": 1.1772490739822388, "eval_math_mean_token_accuracy": 0.707464236497879, "eval_math_num_tokens": 19906714.0, "eval_math_runtime": 46.7296, "eval_math_samples_per_second": 10.7, "eval_math_steps_per_second": 5.35, "step": 1400 }, { "entropy": 1.0678872428834438, "epoch": 4.5056, "grad_norm": 8.5, "learning_rate": 1.9091111111111113e-05, "loss": 1.0421, "mean_token_accuracy": 0.7248407501727343, "num_tokens": 20042824.0, "step": 1410 }, { "entropy": 1.0317748140543699, "epoch": 4.5376, "grad_norm": 7.28125, "learning_rate": 1.906888888888889e-05, "loss": 1.0118, "mean_token_accuracy": 0.7290458243340254, "num_tokens": 20184198.0, "step": 1420 }, { "entropy": 1.0234299018979072, "epoch": 4.5696, "grad_norm": 8.1875, "learning_rate": 1.904666666666667e-05, "loss": 0.9974, "mean_token_accuracy": 0.734089670330286, "num_tokens": 20326769.0, "step": 1430 }, { "entropy": 1.0432322915643453, "epoch": 4.6016, "grad_norm": 10.4375, "learning_rate": 1.9024444444444446e-05, "loss": 1.0359, "mean_token_accuracy": 0.7288251578807831, "num_tokens": 20463248.0, "step": 1440 }, { "entropy": 0.9960782427340746, "epoch": 4.6336, "grad_norm": 7.75, "learning_rate": 1.9002222222222224e-05, "loss": 0.9673, "mean_token_accuracy": 0.7419588100165129, "num_tokens": 20606156.0, "step": 1450 }, { "entropy": 1.0214475937187673, "epoch": 4.6655999999999995, "grad_norm": 9.75, "learning_rate": 1.898e-05, "loss": 1.0073, "mean_token_accuracy": 0.7355681076645851, "num_tokens": 20742663.0, "step": 1460 }, { "entropy": 1.042779802531004, "epoch": 4.6975999999999996, "grad_norm": 8.3125, "learning_rate": 1.895777777777778e-05, "loss": 1.015, "mean_token_accuracy": 0.7308492448180914, "num_tokens": 20888422.0, "step": 1470 }, { "entropy": 0.9938499752432108, "epoch": 4.7296, "grad_norm": 8.4375, "learning_rate": 1.8935555555555556e-05, "loss": 0.9681, "mean_token_accuracy": 0.7414834558963775, "num_tokens": 21032183.0, "step": 1480 }, { "entropy": 1.016091812774539, "epoch": 4.7616, "grad_norm": 10.3125, "learning_rate": 1.8913333333333334e-05, "loss": 0.9861, "mean_token_accuracy": 0.7363665714859963, "num_tokens": 21171363.0, "step": 1490 }, { "entropy": 1.0135044915601612, "epoch": 4.7936, "grad_norm": 7.5625, "learning_rate": 1.8891111111111115e-05, "loss": 0.9953, "mean_token_accuracy": 0.7363950561732053, "num_tokens": 21316124.0, "step": 1500 }, { "epoch": 4.7936, "eval_coding_entropy": 1.6775614714622498, "eval_coding_loss": 2.1003665924072266, "eval_coding_mean_token_accuracy": 0.5311660279035568, "eval_coding_num_tokens": 21316124.0, "eval_coding_runtime": 82.243, "eval_coding_samples_per_second": 6.08, "eval_coding_steps_per_second": 3.04, "step": 1500 }, { "epoch": 4.7936, "eval_math_entropy": 1.0237463138103484, "eval_math_loss": 1.1396057605743408, "eval_math_mean_token_accuracy": 0.715588841676712, "eval_math_num_tokens": 21316124.0, "eval_math_runtime": 47.1978, "eval_math_samples_per_second": 10.594, "eval_math_steps_per_second": 5.297, "step": 1500 }, { "entropy": 1.0302676513791085, "epoch": 4.8256, "grad_norm": 7.5625, "learning_rate": 1.886888888888889e-05, "loss": 1.0034, "mean_token_accuracy": 0.7323874134570361, "num_tokens": 21456811.0, "step": 1510 }, { "entropy": 1.0087147317826748, "epoch": 4.8576, "grad_norm": 10.375, "learning_rate": 1.884666666666667e-05, "loss": 0.9966, "mean_token_accuracy": 0.7373051200062036, "num_tokens": 21598174.0, "step": 1520 }, { "entropy": 1.0385818116366863, "epoch": 4.8896, "grad_norm": 8.75, "learning_rate": 1.8824444444444445e-05, "loss": 1.0234, "mean_token_accuracy": 0.7324004743248225, "num_tokens": 21749526.0, "step": 1530 }, { "entropy": 1.0246109385043383, "epoch": 4.9216, "grad_norm": 8.125, "learning_rate": 1.8802222222222226e-05, "loss": 0.9977, "mean_token_accuracy": 0.7329407773911953, "num_tokens": 21885800.0, "step": 1540 }, { "entropy": 1.005864929407835, "epoch": 4.9536, "grad_norm": 9.4375, "learning_rate": 1.878e-05, "loss": 0.9762, "mean_token_accuracy": 0.7406043078750372, "num_tokens": 22028858.0, "step": 1550 }, { "entropy": 0.9871604397892952, "epoch": 4.9856, "grad_norm": 7.84375, "learning_rate": 1.875777777777778e-05, "loss": 0.9605, "mean_token_accuracy": 0.7413943439722062, "num_tokens": 22175575.0, "step": 1560 }, { "entropy": 0.9552774119533991, "epoch": 5.016, "grad_norm": 7.96875, "learning_rate": 1.873555555555556e-05, "loss": 0.9271, "mean_token_accuracy": 0.7519231669996914, "num_tokens": 22313061.0, "step": 1570 }, { "entropy": 0.908423101902008, "epoch": 5.048, "grad_norm": 6.65625, "learning_rate": 1.8713333333333336e-05, "loss": 0.8928, "mean_token_accuracy": 0.7576735183596611, "num_tokens": 22457889.0, "step": 1580 }, { "entropy": 0.9394706435501575, "epoch": 5.08, "grad_norm": 7.5, "learning_rate": 1.8691111111111114e-05, "loss": 0.9083, "mean_token_accuracy": 0.7530260667204857, "num_tokens": 22594618.0, "step": 1590 }, { "entropy": 0.9052924428135156, "epoch": 5.112, "grad_norm": 6.4375, "learning_rate": 1.866888888888889e-05, "loss": 0.876, "mean_token_accuracy": 0.7579276110976935, "num_tokens": 22735034.0, "step": 1600 }, { "epoch": 5.112, "eval_coding_entropy": 1.5108720426559448, "eval_coding_loss": 2.168074131011963, "eval_coding_mean_token_accuracy": 0.5293694581985474, "eval_coding_num_tokens": 22735034.0, "eval_coding_runtime": 80.6791, "eval_coding_samples_per_second": 6.197, "eval_coding_steps_per_second": 3.099, "step": 1600 }, { "epoch": 5.112, "eval_math_entropy": 0.9210035672187805, "eval_math_loss": 1.1561440229415894, "eval_math_mean_token_accuracy": 0.7158858454227448, "eval_math_num_tokens": 22735034.0, "eval_math_runtime": 46.0157, "eval_math_samples_per_second": 10.866, "eval_math_steps_per_second": 5.433, "step": 1600 }, { "entropy": 0.8932699026539922, "epoch": 5.144, "grad_norm": 6.5, "learning_rate": 1.864666666666667e-05, "loss": 0.8714, "mean_token_accuracy": 0.762346514314413, "num_tokens": 22875863.0, "step": 1610 }, { "entropy": 0.8730874558910727, "epoch": 5.176, "grad_norm": 7.3125, "learning_rate": 1.8624444444444446e-05, "loss": 0.8248, "mean_token_accuracy": 0.767206709459424, "num_tokens": 23019827.0, "step": 1620 }, { "entropy": 0.9459875440225005, "epoch": 5.208, "grad_norm": 7.625, "learning_rate": 1.8602222222222224e-05, "loss": 0.9073, "mean_token_accuracy": 0.7505842503160238, "num_tokens": 23160295.0, "step": 1630 }, { "entropy": 0.8937128365039826, "epoch": 5.24, "grad_norm": 6.375, "learning_rate": 1.858e-05, "loss": 0.87, "mean_token_accuracy": 0.7625281598418951, "num_tokens": 23302273.0, "step": 1640 }, { "entropy": 0.8976007211953402, "epoch": 5.272, "grad_norm": 6.75, "learning_rate": 1.855777777777778e-05, "loss": 0.8753, "mean_token_accuracy": 0.7627121699973941, "num_tokens": 23449683.0, "step": 1650 }, { "entropy": 0.8997082270681858, "epoch": 5.304, "grad_norm": 6.5625, "learning_rate": 1.8535555555555557e-05, "loss": 0.888, "mean_token_accuracy": 0.7588404752314091, "num_tokens": 23588004.0, "step": 1660 }, { "entropy": 0.9175663651898504, "epoch": 5.336, "grad_norm": 7.5, "learning_rate": 1.8513333333333335e-05, "loss": 0.8712, "mean_token_accuracy": 0.7588019911199808, "num_tokens": 23735695.0, "step": 1670 }, { "entropy": 0.8917087573558092, "epoch": 5.368, "grad_norm": 6.75, "learning_rate": 1.8491111111111112e-05, "loss": 0.872, "mean_token_accuracy": 0.7614140216261148, "num_tokens": 23878624.0, "step": 1680 }, { "entropy": 0.9097595578059554, "epoch": 5.4, "grad_norm": 6.8125, "learning_rate": 1.846888888888889e-05, "loss": 0.8898, "mean_token_accuracy": 0.7600292358547449, "num_tokens": 24021664.0, "step": 1690 }, { "entropy": 0.8914705088362098, "epoch": 5.432, "grad_norm": 8.75, "learning_rate": 1.8446666666666667e-05, "loss": 0.8629, "mean_token_accuracy": 0.7618724539875984, "num_tokens": 24162453.0, "step": 1700 }, { "epoch": 5.432, "eval_coding_entropy": 1.5077661447525024, "eval_coding_loss": 2.1740472316741943, "eval_coding_mean_token_accuracy": 0.5293574998378754, "eval_coding_num_tokens": 24162453.0, "eval_coding_runtime": 81.2553, "eval_coding_samples_per_second": 6.153, "eval_coding_steps_per_second": 3.077, "step": 1700 }, { "epoch": 5.432, "eval_math_entropy": 0.907505418419838, "eval_math_loss": 1.1403419971466064, "eval_math_mean_token_accuracy": 0.7196878392696381, "eval_math_num_tokens": 24162453.0, "eval_math_runtime": 46.3752, "eval_math_samples_per_second": 10.782, "eval_math_steps_per_second": 5.391, "step": 1700 }, { "entropy": 0.8794696152210235, "epoch": 5.464, "grad_norm": 7.8125, "learning_rate": 1.842444444444445e-05, "loss": 0.8491, "mean_token_accuracy": 0.7637434259057045, "num_tokens": 24302751.0, "step": 1710 }, { "entropy": 0.8770243087783456, "epoch": 5.496, "grad_norm": 6.90625, "learning_rate": 1.8402222222222223e-05, "loss": 0.8569, "mean_token_accuracy": 0.7662156637758016, "num_tokens": 24447316.0, "step": 1720 }, { "entropy": 0.9151918144896627, "epoch": 5.5280000000000005, "grad_norm": 7.9375, "learning_rate": 1.8380000000000004e-05, "loss": 0.8896, "mean_token_accuracy": 0.7570474561303854, "num_tokens": 24588812.0, "step": 1730 }, { "entropy": 0.9098712190985679, "epoch": 5.5600000000000005, "grad_norm": 6.96875, "learning_rate": 1.8357777777777778e-05, "loss": 0.8752, "mean_token_accuracy": 0.7589137274771929, "num_tokens": 24729042.0, "step": 1740 }, { "entropy": 0.9058109503239393, "epoch": 5.592, "grad_norm": 7.21875, "learning_rate": 1.833555555555556e-05, "loss": 0.8724, "mean_token_accuracy": 0.7591247230768203, "num_tokens": 24861573.0, "step": 1750 }, { "entropy": 0.8967058792710304, "epoch": 5.624, "grad_norm": 7.65625, "learning_rate": 1.8313333333333333e-05, "loss": 0.8772, "mean_token_accuracy": 0.7598790679126978, "num_tokens": 25009913.0, "step": 1760 }, { "entropy": 0.8895885275676847, "epoch": 5.656, "grad_norm": 7.125, "learning_rate": 1.8291111111111114e-05, "loss": 0.8706, "mean_token_accuracy": 0.7640030801296234, "num_tokens": 25148190.0, "step": 1770 }, { "entropy": 0.9247543184086681, "epoch": 5.688, "grad_norm": 7.75, "learning_rate": 1.8268888888888888e-05, "loss": 0.899, "mean_token_accuracy": 0.7559223342686892, "num_tokens": 25291745.0, "step": 1780 }, { "entropy": 0.9217993386089802, "epoch": 5.72, "grad_norm": 7.8125, "learning_rate": 1.824666666666667e-05, "loss": 0.895, "mean_token_accuracy": 0.7565487738698721, "num_tokens": 25434441.0, "step": 1790 }, { "entropy": 0.8966394849121571, "epoch": 5.752, "grad_norm": 8.3125, "learning_rate": 1.8224444444444447e-05, "loss": 0.8758, "mean_token_accuracy": 0.7607072979211807, "num_tokens": 25573574.0, "step": 1800 }, { "epoch": 5.752, "eval_coding_entropy": 1.5287488384246826, "eval_coding_loss": 2.1693997383117676, "eval_coding_mean_token_accuracy": 0.5300438596010209, "eval_coding_num_tokens": 25573574.0, "eval_coding_runtime": 81.0569, "eval_coding_samples_per_second": 6.169, "eval_coding_steps_per_second": 3.084, "step": 1800 }, { "epoch": 5.752, "eval_math_entropy": 0.9324754639863968, "eval_math_loss": 1.1225923299789429, "eval_math_mean_token_accuracy": 0.7223285484313965, "eval_math_num_tokens": 25573574.0, "eval_math_runtime": 46.1182, "eval_math_samples_per_second": 10.842, "eval_math_steps_per_second": 5.421, "step": 1800 }, { "entropy": 0.8990588784217834, "epoch": 5.784, "grad_norm": 6.6875, "learning_rate": 1.8202222222222225e-05, "loss": 0.8611, "mean_token_accuracy": 0.7620632901787758, "num_tokens": 25720633.0, "step": 1810 }, { "entropy": 0.9017492324113846, "epoch": 5.816, "grad_norm": 7.0, "learning_rate": 1.8180000000000002e-05, "loss": 0.8795, "mean_token_accuracy": 0.7607263036072254, "num_tokens": 25860386.0, "step": 1820 }, { "entropy": 0.8764655807986855, "epoch": 5.848, "grad_norm": 7.09375, "learning_rate": 1.815777777777778e-05, "loss": 0.8454, "mean_token_accuracy": 0.7668800290673972, "num_tokens": 26003831.0, "step": 1830 }, { "entropy": 0.9092245759442449, "epoch": 5.88, "grad_norm": 7.28125, "learning_rate": 1.8135555555555557e-05, "loss": 0.9039, "mean_token_accuracy": 0.7570795770734549, "num_tokens": 26141832.0, "step": 1840 }, { "entropy": 0.9221448406577111, "epoch": 5.912, "grad_norm": 7.6875, "learning_rate": 1.8113333333333335e-05, "loss": 0.889, "mean_token_accuracy": 0.7561331510543823, "num_tokens": 26285027.0, "step": 1850 }, { "entropy": 0.8948194550350308, "epoch": 5.944, "grad_norm": 8.6875, "learning_rate": 1.8091111111111113e-05, "loss": 0.8728, "mean_token_accuracy": 0.760323528200388, "num_tokens": 26432812.0, "step": 1860 }, { "entropy": 0.8912792162969708, "epoch": 5.976, "grad_norm": 7.4375, "learning_rate": 1.806888888888889e-05, "loss": 0.8637, "mean_token_accuracy": 0.7622829657047987, "num_tokens": 26576198.0, "step": 1870 }, { "entropy": 0.8932076808261243, "epoch": 6.0064, "grad_norm": 6.59375, "learning_rate": 1.8046666666666668e-05, "loss": 0.8527, "mean_token_accuracy": 0.7719342869363333, "num_tokens": 26714418.0, "step": 1880 }, { "entropy": 0.7547721007838846, "epoch": 6.0384, "grad_norm": 7.78125, "learning_rate": 1.8024444444444445e-05, "loss": 0.7466, "mean_token_accuracy": 0.7900280602276325, "num_tokens": 26854471.0, "step": 1890 }, { "entropy": 0.8012739174067974, "epoch": 6.0704, "grad_norm": 6.9375, "learning_rate": 1.8002222222222223e-05, "loss": 0.7694, "mean_token_accuracy": 0.7837659023702145, "num_tokens": 26997548.0, "step": 1900 }, { "epoch": 6.0704, "eval_coding_entropy": 1.4375424737930298, "eval_coding_loss": 2.2412030696868896, "eval_coding_mean_token_accuracy": 0.5258033001422882, "eval_coding_num_tokens": 26997548.0, "eval_coding_runtime": 80.7826, "eval_coding_samples_per_second": 6.189, "eval_coding_steps_per_second": 3.095, "step": 1900 }, { "epoch": 6.0704, "eval_math_entropy": 0.8488073872327805, "eval_math_loss": 1.1494157314300537, "eval_math_mean_token_accuracy": 0.7230218532085418, "eval_math_num_tokens": 26997548.0, "eval_math_runtime": 46.1166, "eval_math_samples_per_second": 10.842, "eval_math_steps_per_second": 5.421, "step": 1900 }, { "entropy": 0.7635609801858664, "epoch": 6.1024, "grad_norm": 7.59375, "learning_rate": 1.798e-05, "loss": 0.7384, "mean_token_accuracy": 0.7916049119085073, "num_tokens": 27142854.0, "step": 1910 }, { "entropy": 0.756542045250535, "epoch": 6.1344, "grad_norm": 7.84375, "learning_rate": 1.7957777777777778e-05, "loss": 0.7285, "mean_token_accuracy": 0.7928035575896502, "num_tokens": 27287562.0, "step": 1920 }, { "entropy": 0.7951679166406393, "epoch": 6.1664, "grad_norm": 8.3125, "learning_rate": 1.7935555555555556e-05, "loss": 0.7664, "mean_token_accuracy": 0.7882673852145672, "num_tokens": 27424818.0, "step": 1930 }, { "entropy": 0.7970327842980623, "epoch": 6.1984, "grad_norm": 7.75, "learning_rate": 1.7913333333333337e-05, "loss": 0.7689, "mean_token_accuracy": 0.7828843638300895, "num_tokens": 27562593.0, "step": 1940 }, { "entropy": 0.7904769157990813, "epoch": 6.2304, "grad_norm": 6.84375, "learning_rate": 1.789111111111111e-05, "loss": 0.7573, "mean_token_accuracy": 0.7857714165002108, "num_tokens": 27704822.0, "step": 1950 }, { "entropy": 0.7835376903414726, "epoch": 6.2624, "grad_norm": 6.3125, "learning_rate": 1.7868888888888892e-05, "loss": 0.7641, "mean_token_accuracy": 0.7862238857895136, "num_tokens": 27850462.0, "step": 1960 }, { "entropy": 0.7813543854281306, "epoch": 6.2943999999999996, "grad_norm": 6.09375, "learning_rate": 1.7846666666666666e-05, "loss": 0.7619, "mean_token_accuracy": 0.7848350748419761, "num_tokens": 27995867.0, "step": 1970 }, { "entropy": 0.7751486446708441, "epoch": 6.3264, "grad_norm": 6.53125, "learning_rate": 1.7824444444444447e-05, "loss": 0.7454, "mean_token_accuracy": 0.7895105637609958, "num_tokens": 28141531.0, "step": 1980 }, { "entropy": 0.8145087849348783, "epoch": 6.3584, "grad_norm": 7.1875, "learning_rate": 1.780222222222222e-05, "loss": 0.7932, "mean_token_accuracy": 0.7784016776829958, "num_tokens": 28283236.0, "step": 1990 }, { "entropy": 0.7936712250113487, "epoch": 6.3904, "grad_norm": 7.5625, "learning_rate": 1.7780000000000003e-05, "loss": 0.7684, "mean_token_accuracy": 0.7840494114905596, "num_tokens": 28424091.0, "step": 2000 }, { "epoch": 6.3904, "eval_coding_entropy": 1.3973456344604491, "eval_coding_loss": 2.2944459915161133, "eval_coding_mean_token_accuracy": 0.523113137125969, "eval_coding_num_tokens": 28424091.0, "eval_coding_runtime": 80.7861, "eval_coding_samples_per_second": 6.189, "eval_coding_steps_per_second": 3.095, "step": 2000 }, { "epoch": 6.3904, "eval_math_entropy": 0.8243015093803405, "eval_math_loss": 1.1564151048660278, "eval_math_mean_token_accuracy": 0.7230146683454514, "eval_math_num_tokens": 28424091.0, "eval_math_runtime": 45.6525, "eval_math_samples_per_second": 10.952, "eval_math_steps_per_second": 5.476, "step": 2000 }, { "entropy": 0.8037007624283433, "epoch": 6.4224, "grad_norm": 5.875, "learning_rate": 1.7757777777777777e-05, "loss": 0.7719, "mean_token_accuracy": 0.7816891677677631, "num_tokens": 28567440.0, "step": 2010 }, { "entropy": 0.834957654774189, "epoch": 6.4544, "grad_norm": 6.71875, "learning_rate": 1.7735555555555558e-05, "loss": 0.7928, "mean_token_accuracy": 0.7771519389003515, "num_tokens": 28710513.0, "step": 2020 }, { "entropy": 0.8089170817285776, "epoch": 6.4864, "grad_norm": 6.1875, "learning_rate": 1.7713333333333335e-05, "loss": 0.7809, "mean_token_accuracy": 0.7798932507634163, "num_tokens": 28845867.0, "step": 2030 }, { "entropy": 0.7893792005255819, "epoch": 6.5184, "grad_norm": 7.0, "learning_rate": 1.7691111111111113e-05, "loss": 0.772, "mean_token_accuracy": 0.7853275798261166, "num_tokens": 28986087.0, "step": 2040 }, { "entropy": 0.817673640884459, "epoch": 6.5504, "grad_norm": 7.25, "learning_rate": 1.766888888888889e-05, "loss": 0.7786, "mean_token_accuracy": 0.7811060819774867, "num_tokens": 29127986.0, "step": 2050 }, { "entropy": 0.7762261744588613, "epoch": 6.5824, "grad_norm": 6.75, "learning_rate": 1.7646666666666668e-05, "loss": 0.7558, "mean_token_accuracy": 0.7873165447264909, "num_tokens": 29274419.0, "step": 2060 }, { "entropy": 0.834563871473074, "epoch": 6.6144, "grad_norm": 7.0625, "learning_rate": 1.7624444444444446e-05, "loss": 0.7983, "mean_token_accuracy": 0.775597108900547, "num_tokens": 29416469.0, "step": 2070 }, { "entropy": 0.7912350505590439, "epoch": 6.6464, "grad_norm": 8.5625, "learning_rate": 1.7602222222222223e-05, "loss": 0.7725, "mean_token_accuracy": 0.7829791463911533, "num_tokens": 29552171.0, "step": 2080 }, { "entropy": 0.7903627971187234, "epoch": 6.6784, "grad_norm": 5.6875, "learning_rate": 1.758e-05, "loss": 0.7663, "mean_token_accuracy": 0.7871049847453833, "num_tokens": 29697358.0, "step": 2090 }, { "entropy": 0.7845524778589607, "epoch": 6.7104, "grad_norm": 5.84375, "learning_rate": 1.755777777777778e-05, "loss": 0.7538, "mean_token_accuracy": 0.7856491521000862, "num_tokens": 29837721.0, "step": 2100 }, { "epoch": 6.7104, "eval_coding_entropy": 1.4155221619606018, "eval_coding_loss": 2.2857377529144287, "eval_coding_mean_token_accuracy": 0.5220260412693024, "eval_coding_num_tokens": 29837721.0, "eval_coding_runtime": 80.7321, "eval_coding_samples_per_second": 6.193, "eval_coding_steps_per_second": 3.097, "step": 2100 }, { "epoch": 6.7104, "eval_math_entropy": 0.8305150240659713, "eval_math_loss": 1.140716791152954, "eval_math_mean_token_accuracy": 0.7266455957889557, "eval_math_num_tokens": 29837721.0, "eval_math_runtime": 46.0673, "eval_math_samples_per_second": 10.854, "eval_math_steps_per_second": 5.427, "step": 2100 }, { "entropy": 0.789828123897314, "epoch": 6.7424, "grad_norm": 6.3125, "learning_rate": 1.7535555555555556e-05, "loss": 0.7616, "mean_token_accuracy": 0.7844318665564061, "num_tokens": 29975475.0, "step": 2110 }, { "entropy": 0.8087119059637189, "epoch": 6.7744, "grad_norm": 6.5, "learning_rate": 1.7513333333333334e-05, "loss": 0.7842, "mean_token_accuracy": 0.7817314140498638, "num_tokens": 30122898.0, "step": 2120 }, { "entropy": 0.8047438763082028, "epoch": 6.8064, "grad_norm": 7.6875, "learning_rate": 1.749111111111111e-05, "loss": 0.7719, "mean_token_accuracy": 0.7834227979183197, "num_tokens": 30267350.0, "step": 2130 }, { "entropy": 0.7722480308264494, "epoch": 6.8384, "grad_norm": 5.875, "learning_rate": 1.746888888888889e-05, "loss": 0.7482, "mean_token_accuracy": 0.7906263262033463, "num_tokens": 30410425.0, "step": 2140 }, { "entropy": 0.7863922705873847, "epoch": 6.8704, "grad_norm": 5.75, "learning_rate": 1.7446666666666667e-05, "loss": 0.7573, "mean_token_accuracy": 0.7874143712222577, "num_tokens": 30556104.0, "step": 2150 }, { "entropy": 0.7923967076465488, "epoch": 6.9024, "grad_norm": 6.875, "learning_rate": 1.7424444444444444e-05, "loss": 0.7673, "mean_token_accuracy": 0.7842209670692682, "num_tokens": 30696633.0, "step": 2160 }, { "entropy": 0.7635320017114282, "epoch": 6.9344, "grad_norm": 7.8125, "learning_rate": 1.7402222222222222e-05, "loss": 0.7348, "mean_token_accuracy": 0.7918086532503367, "num_tokens": 30846050.0, "step": 2170 }, { "entropy": 0.8394313918426632, "epoch": 6.9664, "grad_norm": 6.5625, "learning_rate": 1.7380000000000003e-05, "loss": 0.8089, "mean_token_accuracy": 0.7738638300448656, "num_tokens": 30985566.0, "step": 2180 }, { "entropy": 0.7745752094313503, "epoch": 6.9984, "grad_norm": 6.5625, "learning_rate": 1.735777777777778e-05, "loss": 0.7555, "mean_token_accuracy": 0.7885649967938662, "num_tokens": 31126781.0, "step": 2190 }, { "entropy": 0.6780358164718276, "epoch": 7.0288, "grad_norm": 6.34375, "learning_rate": 1.7335555555555558e-05, "loss": 0.6546, "mean_token_accuracy": 0.8142786818115335, "num_tokens": 31264201.0, "step": 2200 }, { "epoch": 7.0288, "eval_coding_entropy": 1.304100867509842, "eval_coding_loss": 2.3947367668151855, "eval_coding_mean_token_accuracy": 0.5186028212308884, "eval_coding_num_tokens": 31264201.0, "eval_coding_runtime": 80.6872, "eval_coding_samples_per_second": 6.197, "eval_coding_steps_per_second": 3.098, "step": 2200 }, { "epoch": 7.0288, "eval_math_entropy": 0.7535352064371109, "eval_math_loss": 1.187160849571228, "eval_math_mean_token_accuracy": 0.7245078366994858, "eval_math_num_tokens": 31264201.0, "eval_math_runtime": 45.9956, "eval_math_samples_per_second": 10.871, "eval_math_steps_per_second": 5.435, "step": 2200 }, { "entropy": 0.6964505778625607, "epoch": 7.0608, "grad_norm": 7.15625, "learning_rate": 1.7313333333333336e-05, "loss": 0.6526, "mean_token_accuracy": 0.8109941691160202, "num_tokens": 31407669.0, "step": 2210 }, { "entropy": 0.6898874808102846, "epoch": 7.0928, "grad_norm": 6.5625, "learning_rate": 1.7291111111111113e-05, "loss": 0.6482, "mean_token_accuracy": 0.8115406323224306, "num_tokens": 31545593.0, "step": 2220 }, { "entropy": 0.6895740699023009, "epoch": 7.1248, "grad_norm": 5.65625, "learning_rate": 1.726888888888889e-05, "loss": 0.6556, "mean_token_accuracy": 0.8106831427663564, "num_tokens": 31682971.0, "step": 2230 }, { "entropy": 0.6958585649728775, "epoch": 7.1568, "grad_norm": 7.0625, "learning_rate": 1.724666666666667e-05, "loss": 0.6613, "mean_token_accuracy": 0.8089716974645853, "num_tokens": 31823741.0, "step": 2240 }, { "entropy": 0.6874750999733805, "epoch": 7.1888, "grad_norm": 7.59375, "learning_rate": 1.7224444444444446e-05, "loss": 0.6497, "mean_token_accuracy": 0.8098180022090673, "num_tokens": 31961567.0, "step": 2250 }, { "entropy": 0.7004628121852875, "epoch": 7.2208, "grad_norm": 6.59375, "learning_rate": 1.7202222222222224e-05, "loss": 0.6678, "mean_token_accuracy": 0.806743647903204, "num_tokens": 32099978.0, "step": 2260 }, { "entropy": 0.6884488120675087, "epoch": 7.2528, "grad_norm": 5.90625, "learning_rate": 1.718e-05, "loss": 0.6613, "mean_token_accuracy": 0.8100233267992735, "num_tokens": 32241652.0, "step": 2270 }, { "entropy": 0.677618951164186, "epoch": 7.2848, "grad_norm": 6.8125, "learning_rate": 1.715777777777778e-05, "loss": 0.6566, "mean_token_accuracy": 0.8116524960845709, "num_tokens": 32384902.0, "step": 2280 }, { "entropy": 0.7019629061222077, "epoch": 7.3168, "grad_norm": 6.0625, "learning_rate": 1.7135555555555557e-05, "loss": 0.6562, "mean_token_accuracy": 0.807775004953146, "num_tokens": 32528866.0, "step": 2290 }, { "entropy": 0.7041911154985427, "epoch": 7.3488, "grad_norm": 6.0625, "learning_rate": 1.7113333333333334e-05, "loss": 0.6684, "mean_token_accuracy": 0.8070357060059905, "num_tokens": 32676568.0, "step": 2300 }, { "epoch": 7.3488, "eval_coding_entropy": 1.2615632174015046, "eval_coding_loss": 2.4397706985473633, "eval_coding_mean_token_accuracy": 0.5178579885959625, "eval_coding_num_tokens": 32676568.0, "eval_coding_runtime": 80.7921, "eval_coding_samples_per_second": 6.189, "eval_coding_steps_per_second": 3.094, "step": 2300 }, { "epoch": 7.3488, "eval_math_entropy": 0.7428458639383316, "eval_math_loss": 1.1929874420166016, "eval_math_mean_token_accuracy": 0.7246040363311768, "eval_math_num_tokens": 32676568.0, "eval_math_runtime": 46.0974, "eval_math_samples_per_second": 10.847, "eval_math_steps_per_second": 5.423, "step": 2300 }, { "entropy": 0.6917074115946888, "epoch": 7.3808, "grad_norm": 5.5, "learning_rate": 1.7091111111111112e-05, "loss": 0.6567, "mean_token_accuracy": 0.8070734158158303, "num_tokens": 32815334.0, "step": 2310 }, { "entropy": 0.701219811849296, "epoch": 7.4128, "grad_norm": 6.78125, "learning_rate": 1.706888888888889e-05, "loss": 0.6619, "mean_token_accuracy": 0.8089694399386644, "num_tokens": 32953795.0, "step": 2320 }, { "entropy": 0.7057253098115325, "epoch": 7.4448, "grad_norm": 6.40625, "learning_rate": 1.704666666666667e-05, "loss": 0.6766, "mean_token_accuracy": 0.8057920385152102, "num_tokens": 33095143.0, "step": 2330 }, { "entropy": 0.7029675403609872, "epoch": 7.4768, "grad_norm": 6.46875, "learning_rate": 1.7024444444444445e-05, "loss": 0.6654, "mean_token_accuracy": 0.8057617463171483, "num_tokens": 33231603.0, "step": 2340 }, { "entropy": 0.7067077737301588, "epoch": 7.5088, "grad_norm": 6.4375, "learning_rate": 1.7002222222222226e-05, "loss": 0.6633, "mean_token_accuracy": 0.8062474392354488, "num_tokens": 33373326.0, "step": 2350 }, { "entropy": 0.6964337192475796, "epoch": 7.5408, "grad_norm": 6.0625, "learning_rate": 1.698e-05, "loss": 0.6706, "mean_token_accuracy": 0.8072092153131962, "num_tokens": 33518601.0, "step": 2360 }, { "entropy": 0.7400129863992333, "epoch": 7.5728, "grad_norm": 7.125, "learning_rate": 1.695777777777778e-05, "loss": 0.7088, "mean_token_accuracy": 0.7985821563750506, "num_tokens": 33658816.0, "step": 2370 }, { "entropy": 0.716340858861804, "epoch": 7.6048, "grad_norm": 7.4375, "learning_rate": 1.6935555555555555e-05, "loss": 0.6818, "mean_token_accuracy": 0.8039816755801439, "num_tokens": 33801497.0, "step": 2380 }, { "entropy": 0.6917989738285542, "epoch": 7.6368, "grad_norm": 6.125, "learning_rate": 1.6913333333333336e-05, "loss": 0.6613, "mean_token_accuracy": 0.8100811116397381, "num_tokens": 33953968.0, "step": 2390 }, { "entropy": 0.7106034072116018, "epoch": 7.6688, "grad_norm": 6.4375, "learning_rate": 1.689111111111111e-05, "loss": 0.6834, "mean_token_accuracy": 0.8061708252876997, "num_tokens": 34098980.0, "step": 2400 }, { "epoch": 7.6688, "eval_coding_entropy": 1.275503532409668, "eval_coding_loss": 2.4567227363586426, "eval_coding_mean_token_accuracy": 0.5148999409675599, "eval_coding_num_tokens": 34098980.0, "eval_coding_runtime": 80.8055, "eval_coding_samples_per_second": 6.188, "eval_coding_steps_per_second": 3.094, "step": 2400 }, { "epoch": 7.6688, "eval_math_entropy": 0.7483759069442749, "eval_math_loss": 1.1908166408538818, "eval_math_mean_token_accuracy": 0.725921373128891, "eval_math_num_tokens": 34098980.0, "eval_math_runtime": 46.1081, "eval_math_samples_per_second": 10.844, "eval_math_steps_per_second": 5.422, "step": 2400 }, { "entropy": 0.6861953908577562, "epoch": 7.7008, "grad_norm": 6.15625, "learning_rate": 1.686888888888889e-05, "loss": 0.658, "mean_token_accuracy": 0.8090121451765299, "num_tokens": 34244356.0, "step": 2410 }, { "entropy": 0.6957589897327126, "epoch": 7.7328, "grad_norm": 6.1875, "learning_rate": 1.684666666666667e-05, "loss": 0.6682, "mean_token_accuracy": 0.8056382369250059, "num_tokens": 34386627.0, "step": 2420 }, { "entropy": 0.6806132102385163, "epoch": 7.7648, "grad_norm": 5.84375, "learning_rate": 1.6824444444444447e-05, "loss": 0.6505, "mean_token_accuracy": 0.8116094917058945, "num_tokens": 34529410.0, "step": 2430 }, { "entropy": 0.7054837485775352, "epoch": 7.7968, "grad_norm": 5.90625, "learning_rate": 1.6802222222222224e-05, "loss": 0.6771, "mean_token_accuracy": 0.8048388287425041, "num_tokens": 34672533.0, "step": 2440 }, { "entropy": 0.723476623184979, "epoch": 7.8288, "grad_norm": 6.59375, "learning_rate": 1.6780000000000002e-05, "loss": 0.6912, "mean_token_accuracy": 0.7992072824388743, "num_tokens": 34816086.0, "step": 2450 }, { "entropy": 0.7052285142242909, "epoch": 7.8608, "grad_norm": 5.75, "learning_rate": 1.675777777777778e-05, "loss": 0.6724, "mean_token_accuracy": 0.8062153965234756, "num_tokens": 34957664.0, "step": 2460 }, { "entropy": 0.689465108141303, "epoch": 7.8928, "grad_norm": 6.65625, "learning_rate": 1.6735555555555557e-05, "loss": 0.6624, "mean_token_accuracy": 0.8078870676457882, "num_tokens": 35103008.0, "step": 2470 }, { "entropy": 0.7182905808091163, "epoch": 7.9248, "grad_norm": 7.5625, "learning_rate": 1.6713333333333335e-05, "loss": 0.6914, "mean_token_accuracy": 0.8023614939302206, "num_tokens": 35246605.0, "step": 2480 }, { "entropy": 0.6776346262544394, "epoch": 7.9568, "grad_norm": 7.59375, "learning_rate": 1.6691111111111112e-05, "loss": 0.6477, "mean_token_accuracy": 0.8146071847528219, "num_tokens": 35390831.0, "step": 2490 }, { "entropy": 0.7015655115246773, "epoch": 7.9888, "grad_norm": 6.5, "learning_rate": 1.666888888888889e-05, "loss": 0.6571, "mean_token_accuracy": 0.8058168698102236, "num_tokens": 35532109.0, "step": 2500 }, { "epoch": 7.9888, "eval_coding_entropy": 1.2702913012504577, "eval_coding_loss": 2.4451162815093994, "eval_coding_mean_token_accuracy": 0.5166184566020966, "eval_coding_num_tokens": 35532109.0, "eval_coding_runtime": 80.8534, "eval_coding_samples_per_second": 6.184, "eval_coding_steps_per_second": 3.092, "step": 2500 }, { "epoch": 7.9888, "eval_math_entropy": 0.7409075227975845, "eval_math_loss": 1.1822519302368164, "eval_math_mean_token_accuracy": 0.7277101860046387, "eval_math_num_tokens": 35532109.0, "eval_math_runtime": 45.659, "eval_math_samples_per_second": 10.951, "eval_math_steps_per_second": 5.475, "step": 2500 } ], "logging_steps": 10, "max_steps": 10000, "num_input_tokens_seen": 0, "num_train_epochs": 32, "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": 2.2531142149730673e+18, "train_batch_size": 2, "trial_name": null, "trial_params": null }