diff --git "a/checkpoint-3000/trainer_state.json" "b/checkpoint-3000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-3000/trainer_state.json" @@ -0,0 +1,3694 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.5856, + "eval_steps": 100, + "global_step": 3000, + "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 + }, + { + "entropy": 0.6560120561013096, + "epoch": 8.0192, + "grad_norm": 6.5, + "learning_rate": 1.6646666666666668e-05, + "loss": 0.6135, + "mean_token_accuracy": 0.8244276019303423, + "num_tokens": 35665123.0, + "step": 2510 + }, + { + "entropy": 0.6025455558672548, + "epoch": 8.0512, + "grad_norm": 6.03125, + "learning_rate": 1.6624444444444445e-05, + "loss": 0.5613, + "mean_token_accuracy": 0.8370782844722271, + "num_tokens": 35807960.0, + "step": 2520 + }, + { + "entropy": 0.59874182138592, + "epoch": 8.0832, + "grad_norm": 6.78125, + "learning_rate": 1.6602222222222223e-05, + "loss": 0.5531, + "mean_token_accuracy": 0.8351179607212543, + "num_tokens": 35951873.0, + "step": 2530 + }, + { + "entropy": 0.5861171767115593, + "epoch": 8.1152, + "grad_norm": 6.59375, + "learning_rate": 1.658e-05, + "loss": 0.5421, + "mean_token_accuracy": 0.8375212635844946, + "num_tokens": 36094800.0, + "step": 2540 + }, + { + "entropy": 0.5902227221988141, + "epoch": 8.1472, + "grad_norm": 6.46875, + "learning_rate": 1.6557777777777778e-05, + "loss": 0.5441, + "mean_token_accuracy": 0.837360543012619, + "num_tokens": 36237253.0, + "step": 2550 + }, + { + "entropy": 0.6122677305713295, + "epoch": 8.1792, + "grad_norm": 5.75, + "learning_rate": 1.6535555555555556e-05, + "loss": 0.5749, + "mean_token_accuracy": 0.831546526774764, + "num_tokens": 36382754.0, + "step": 2560 + }, + { + "entropy": 0.5965196141973138, + "epoch": 8.2112, + "grad_norm": 6.1875, + "learning_rate": 1.6513333333333333e-05, + "loss": 0.5472, + "mean_token_accuracy": 0.8380160730332136, + "num_tokens": 36524612.0, + "step": 2570 + }, + { + "entropy": 0.6061937671154738, + "epoch": 8.2432, + "grad_norm": 7.125, + "learning_rate": 1.6491111111111114e-05, + "loss": 0.5663, + "mean_token_accuracy": 0.8334988377988338, + "num_tokens": 36665472.0, + "step": 2580 + }, + { + "entropy": 0.5859136013314128, + "epoch": 8.2752, + "grad_norm": 5.59375, + "learning_rate": 1.646888888888889e-05, + "loss": 0.547, + "mean_token_accuracy": 0.8391021471470594, + "num_tokens": 36816358.0, + "step": 2590 + }, + { + "entropy": 0.6046942584216595, + "epoch": 8.3072, + "grad_norm": 5.96875, + "learning_rate": 1.644666666666667e-05, + "loss": 0.5638, + "mean_token_accuracy": 0.8341225437819958, + "num_tokens": 36957057.0, + "step": 2600 + }, + { + "epoch": 8.3072, + "eval_coding_entropy": 1.190221048116684, + "eval_coding_loss": 2.6115522384643555, + "eval_coding_mean_token_accuracy": 0.5068803449869156, + "eval_coding_num_tokens": 36957057.0, + "eval_coding_runtime": 80.5416, + "eval_coding_samples_per_second": 6.208, + "eval_coding_steps_per_second": 3.104, + "step": 2600 + }, + { + "epoch": 8.3072, + "eval_math_entropy": 0.6728351511955262, + "eval_math_loss": 1.2562575340270996, + "eval_math_mean_token_accuracy": 0.7232639222145081, + "eval_math_num_tokens": 36957057.0, + "eval_math_runtime": 45.9495, + "eval_math_samples_per_second": 10.882, + "eval_math_steps_per_second": 5.441, + "step": 2600 + }, + { + "entropy": 0.6147088201716542, + "epoch": 8.3392, + "grad_norm": 6.75, + "learning_rate": 1.6424444444444444e-05, + "loss": 0.5735, + "mean_token_accuracy": 0.8301718145608902, + "num_tokens": 37100317.0, + "step": 2610 + }, + { + "entropy": 0.6111037125810981, + "epoch": 8.3712, + "grad_norm": 6.5, + "learning_rate": 1.6402222222222225e-05, + "loss": 0.5654, + "mean_token_accuracy": 0.8321197848767042, + "num_tokens": 37238699.0, + "step": 2620 + }, + { + "entropy": 0.6080829676240682, + "epoch": 8.4032, + "grad_norm": 7.21875, + "learning_rate": 1.638e-05, + "loss": 0.5695, + "mean_token_accuracy": 0.831758837401867, + "num_tokens": 37380463.0, + "step": 2630 + }, + { + "entropy": 0.5950629852712155, + "epoch": 8.4352, + "grad_norm": 7.03125, + "learning_rate": 1.635777777777778e-05, + "loss": 0.5566, + "mean_token_accuracy": 0.8358054164797067, + "num_tokens": 37523481.0, + "step": 2640 + }, + { + "entropy": 0.6291573172435164, + "epoch": 8.4672, + "grad_norm": 6.40625, + "learning_rate": 1.6335555555555558e-05, + "loss": 0.5907, + "mean_token_accuracy": 0.8268824059516191, + "num_tokens": 37664219.0, + "step": 2650 + }, + { + "entropy": 0.6096789442002774, + "epoch": 8.4992, + "grad_norm": 6.0625, + "learning_rate": 1.6313333333333335e-05, + "loss": 0.5724, + "mean_token_accuracy": 0.8319921869784593, + "num_tokens": 37804845.0, + "step": 2660 + }, + { + "entropy": 0.6148664908483624, + "epoch": 8.5312, + "grad_norm": 5.9375, + "learning_rate": 1.6291111111111113e-05, + "loss": 0.5728, + "mean_token_accuracy": 0.8318193539977073, + "num_tokens": 37946895.0, + "step": 2670 + }, + { + "entropy": 0.6144907113164664, + "epoch": 8.5632, + "grad_norm": 6.25, + "learning_rate": 1.626888888888889e-05, + "loss": 0.5703, + "mean_token_accuracy": 0.8314372502267361, + "num_tokens": 38092590.0, + "step": 2680 + }, + { + "entropy": 0.6098557639867067, + "epoch": 8.5952, + "grad_norm": 6.375, + "learning_rate": 1.6246666666666668e-05, + "loss": 0.5737, + "mean_token_accuracy": 0.8304973334074021, + "num_tokens": 38240389.0, + "step": 2690 + }, + { + "entropy": 0.6045034935697913, + "epoch": 8.6272, + "grad_norm": 5.71875, + "learning_rate": 1.6224444444444446e-05, + "loss": 0.566, + "mean_token_accuracy": 0.8335471376776695, + "num_tokens": 38387161.0, + "step": 2700 + }, + { + "epoch": 8.6272, + "eval_coding_entropy": 1.2006142148971557, + "eval_coding_loss": 2.568366765975952, + "eval_coding_mean_token_accuracy": 0.5114180357456207, + "eval_coding_num_tokens": 38387161.0, + "eval_coding_runtime": 80.161, + "eval_coding_samples_per_second": 6.237, + "eval_coding_steps_per_second": 3.119, + "step": 2700 + }, + { + "epoch": 8.6272, + "eval_math_entropy": 0.6876461794376373, + "eval_math_loss": 1.2407033443450928, + "eval_math_mean_token_accuracy": 0.7249098746776581, + "eval_math_num_tokens": 38387161.0, + "eval_math_runtime": 45.7722, + "eval_math_samples_per_second": 10.924, + "eval_math_steps_per_second": 5.462, + "step": 2700 + }, + { + "entropy": 0.6427660673856735, + "epoch": 8.6592, + "grad_norm": 5.78125, + "learning_rate": 1.6202222222222223e-05, + "loss": 0.6024, + "mean_token_accuracy": 0.8231842331588268, + "num_tokens": 38531282.0, + "step": 2710 + }, + { + "entropy": 0.6149282867088914, + "epoch": 8.6912, + "grad_norm": 6.28125, + "learning_rate": 1.618e-05, + "loss": 0.5725, + "mean_token_accuracy": 0.832622691988945, + "num_tokens": 38675669.0, + "step": 2720 + }, + { + "entropy": 0.5920048102736473, + "epoch": 8.7232, + "grad_norm": 5.78125, + "learning_rate": 1.615777777777778e-05, + "loss": 0.5556, + "mean_token_accuracy": 0.8333576548844576, + "num_tokens": 38812594.0, + "step": 2730 + }, + { + "entropy": 0.6234932013787329, + "epoch": 8.7552, + "grad_norm": 6.40625, + "learning_rate": 1.6135555555555556e-05, + "loss": 0.585, + "mean_token_accuracy": 0.8268820513039827, + "num_tokens": 38956131.0, + "step": 2740 + }, + { + "entropy": 0.5987358037382364, + "epoch": 8.7872, + "grad_norm": 6.3125, + "learning_rate": 1.6113333333333334e-05, + "loss": 0.5581, + "mean_token_accuracy": 0.8351681742817163, + "num_tokens": 39091841.0, + "step": 2750 + }, + { + "entropy": 0.6189692422747612, + "epoch": 8.8192, + "grad_norm": 5.90625, + "learning_rate": 1.609111111111111e-05, + "loss": 0.5784, + "mean_token_accuracy": 0.8277230367064476, + "num_tokens": 39231403.0, + "step": 2760 + }, + { + "entropy": 0.612622588314116, + "epoch": 8.8512, + "grad_norm": 6.71875, + "learning_rate": 1.606888888888889e-05, + "loss": 0.5788, + "mean_token_accuracy": 0.8315247103571892, + "num_tokens": 39369492.0, + "step": 2770 + }, + { + "entropy": 0.6111666314303875, + "epoch": 8.8832, + "grad_norm": 6.75, + "learning_rate": 1.6046666666666667e-05, + "loss": 0.578, + "mean_token_accuracy": 0.8307797733694315, + "num_tokens": 39509140.0, + "step": 2780 + }, + { + "entropy": 0.6081953683868051, + "epoch": 8.9152, + "grad_norm": 7.1875, + "learning_rate": 1.6024444444444444e-05, + "loss": 0.5771, + "mean_token_accuracy": 0.8316793866455555, + "num_tokens": 39651013.0, + "step": 2790 + }, + { + "entropy": 0.6254503468051553, + "epoch": 8.9472, + "grad_norm": 6.90625, + "learning_rate": 1.6002222222222222e-05, + "loss": 0.5835, + "mean_token_accuracy": 0.8256080824881792, + "num_tokens": 39792941.0, + "step": 2800 + }, + { + "epoch": 8.9472, + "eval_coding_entropy": 1.182766483783722, + "eval_coding_loss": 2.6028387546539307, + "eval_coding_mean_token_accuracy": 0.5101276164054871, + "eval_coding_num_tokens": 39792941.0, + "eval_coding_runtime": 80.5635, + "eval_coding_samples_per_second": 6.206, + "eval_coding_steps_per_second": 3.103, + "step": 2800 + }, + { + "epoch": 8.9472, + "eval_math_entropy": 0.6721872200369835, + "eval_math_loss": 1.250475287437439, + "eval_math_mean_token_accuracy": 0.7252113993167877, + "eval_math_num_tokens": 39792941.0, + "eval_math_runtime": 46.1028, + "eval_math_samples_per_second": 10.845, + "eval_math_steps_per_second": 5.423, + "step": 2800 + }, + { + "entropy": 0.6324062248691916, + "epoch": 8.9792, + "grad_norm": 6.125, + "learning_rate": 1.5980000000000003e-05, + "loss": 0.5989, + "mean_token_accuracy": 0.826288477703929, + "num_tokens": 39939134.0, + "step": 2810 + }, + { + "entropy": 0.6012408115754002, + "epoch": 9.0096, + "grad_norm": 5.28125, + "learning_rate": 1.5957777777777777e-05, + "loss": 0.5458, + "mean_token_accuracy": 0.8398351175220389, + "num_tokens": 40074891.0, + "step": 2820 + }, + { + "entropy": 0.5318261187523603, + "epoch": 9.0416, + "grad_norm": 6.1875, + "learning_rate": 1.5935555555555558e-05, + "loss": 0.4762, + "mean_token_accuracy": 0.8588335525244475, + "num_tokens": 40222571.0, + "step": 2830 + }, + { + "entropy": 0.5274458668194711, + "epoch": 9.0736, + "grad_norm": 6.40625, + "learning_rate": 1.5913333333333332e-05, + "loss": 0.4708, + "mean_token_accuracy": 0.8612128391861915, + "num_tokens": 40367991.0, + "step": 2840 + }, + { + "entropy": 0.5246741400100291, + "epoch": 9.1056, + "grad_norm": 6.25, + "learning_rate": 1.5891111111111113e-05, + "loss": 0.4579, + "mean_token_accuracy": 0.8627629213035106, + "num_tokens": 40509352.0, + "step": 2850 + }, + { + "entropy": 0.5131453761830926, + "epoch": 9.1376, + "grad_norm": 9.0, + "learning_rate": 1.5868888888888888e-05, + "loss": 0.4494, + "mean_token_accuracy": 0.8649103097617626, + "num_tokens": 40651112.0, + "step": 2860 + }, + { + "entropy": 0.5197440345771611, + "epoch": 9.1696, + "grad_norm": 6.15625, + "learning_rate": 1.584666666666667e-05, + "loss": 0.4622, + "mean_token_accuracy": 0.8633057914674283, + "num_tokens": 40787831.0, + "step": 2870 + }, + { + "entropy": 0.5328541550785303, + "epoch": 9.2016, + "grad_norm": 6.3125, + "learning_rate": 1.5824444444444446e-05, + "loss": 0.4764, + "mean_token_accuracy": 0.8565490908920765, + "num_tokens": 40932702.0, + "step": 2880 + }, + { + "entropy": 0.5416258215904236, + "epoch": 9.2336, + "grad_norm": 6.78125, + "learning_rate": 1.5802222222222224e-05, + "loss": 0.4798, + "mean_token_accuracy": 0.8568971626460552, + "num_tokens": 41080043.0, + "step": 2890 + }, + { + "entropy": 0.5248058075085282, + "epoch": 9.2656, + "grad_norm": 6.46875, + "learning_rate": 1.578e-05, + "loss": 0.4775, + "mean_token_accuracy": 0.8570398628711701, + "num_tokens": 41220738.0, + "step": 2900 + }, + { + "epoch": 9.2656, + "eval_coding_entropy": 1.1136542909145355, + "eval_coding_loss": 2.7673168182373047, + "eval_coding_mean_token_accuracy": 0.5006222115755081, + "eval_coding_num_tokens": 41220738.0, + "eval_coding_runtime": 80.8421, + "eval_coding_samples_per_second": 6.185, + "eval_coding_steps_per_second": 3.092, + "step": 2900 + }, + { + "epoch": 9.2656, + "eval_math_entropy": 0.6322178390026093, + "eval_math_loss": 1.325918197631836, + "eval_math_mean_token_accuracy": 0.7193420985937119, + "eval_math_num_tokens": 41220738.0, + "eval_math_runtime": 46.1351, + "eval_math_samples_per_second": 10.838, + "eval_math_steps_per_second": 5.419, + "step": 2900 + }, + { + "entropy": 0.5244877910241484, + "epoch": 9.2976, + "grad_norm": 6.28125, + "learning_rate": 1.575777777777778e-05, + "loss": 0.4692, + "mean_token_accuracy": 0.8596760775893927, + "num_tokens": 41364745.0, + "step": 2910 + }, + { + "entropy": 0.5472216626629234, + "epoch": 9.3296, + "grad_norm": 6.5625, + "learning_rate": 1.5735555555555557e-05, + "loss": 0.4817, + "mean_token_accuracy": 0.8550189323723316, + "num_tokens": 41506028.0, + "step": 2920 + }, + { + "entropy": 0.5349522266536951, + "epoch": 9.3616, + "grad_norm": 5.65625, + "learning_rate": 1.5713333333333334e-05, + "loss": 0.4839, + "mean_token_accuracy": 0.8562944039702416, + "num_tokens": 41651227.0, + "step": 2930 + }, + { + "entropy": 0.5615787353366614, + "epoch": 9.3936, + "grad_norm": 6.78125, + "learning_rate": 1.5691111111111112e-05, + "loss": 0.5062, + "mean_token_accuracy": 0.8496946014463902, + "num_tokens": 41793383.0, + "step": 2940 + }, + { + "entropy": 0.5343781635165215, + "epoch": 9.4256, + "grad_norm": 6.75, + "learning_rate": 1.5668888888888893e-05, + "loss": 0.4748, + "mean_token_accuracy": 0.8585585359483957, + "num_tokens": 41931388.0, + "step": 2950 + }, + { + "entropy": 0.5460910867899657, + "epoch": 9.4576, + "grad_norm": 6.21875, + "learning_rate": 1.5646666666666667e-05, + "loss": 0.4908, + "mean_token_accuracy": 0.8529999420046807, + "num_tokens": 42072732.0, + "step": 2960 + }, + { + "entropy": 0.5411690116859973, + "epoch": 9.4896, + "grad_norm": 7.59375, + "learning_rate": 1.5624444444444448e-05, + "loss": 0.491, + "mean_token_accuracy": 0.8546163454651833, + "num_tokens": 42216880.0, + "step": 2970 + }, + { + "entropy": 0.5196895817294717, + "epoch": 9.5216, + "grad_norm": 6.03125, + "learning_rate": 1.5602222222222222e-05, + "loss": 0.4608, + "mean_token_accuracy": 0.8605905815958976, + "num_tokens": 42363129.0, + "step": 2980 + }, + { + "entropy": 0.5527703028172255, + "epoch": 9.5536, + "grad_norm": 5.6875, + "learning_rate": 1.5580000000000003e-05, + "loss": 0.4997, + "mean_token_accuracy": 0.8506911654025316, + "num_tokens": 42501873.0, + "step": 2990 + }, + { + "entropy": 0.5321281863376498, + "epoch": 9.5856, + "grad_norm": 7.3125, + "learning_rate": 1.5557777777777778e-05, + "loss": 0.4759, + "mean_token_accuracy": 0.8594888877123594, + "num_tokens": 42642989.0, + "step": 3000 + }, + { + "epoch": 9.5856, + "eval_coding_entropy": 1.0940111632347107, + "eval_coding_loss": 2.7935373783111572, + "eval_coding_mean_token_accuracy": 0.49977762436866763, + "eval_coding_num_tokens": 42642989.0, + "eval_coding_runtime": 81.0858, + "eval_coding_samples_per_second": 6.166, + "eval_coding_steps_per_second": 3.083, + "step": 3000 + }, + { + "epoch": 9.5856, + "eval_math_entropy": 0.6124070265889168, + "eval_math_loss": 1.3337898254394531, + "eval_math_mean_token_accuracy": 0.7198901507854462, + "eval_math_num_tokens": 42642989.0, + "eval_math_runtime": 45.8245, + "eval_math_samples_per_second": 10.911, + "eval_math_steps_per_second": 5.456, + "step": 3000 + } + ], + "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": 2.702990516896309e+18, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}