{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 3.113948700829021, "eval_steps": 100, "global_step": 3500, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 2.6993201158940794, "epoch": 0.00890224225226729, "grad_norm": 264.0, "learning_rate": 1.8e-07, "loss": 6.8158, "mean_token_accuracy": 0.21653764923103153, "num_tokens": 129942.0, "step": 10 }, { "entropy": 2.748416267335415, "epoch": 0.01780448450453458, "grad_norm": 342.0, "learning_rate": 3.8e-07, "loss": 6.842, "mean_token_accuracy": 0.21704859719611705, "num_tokens": 259048.0, "step": 20 }, { "entropy": 2.856283613294363, "epoch": 0.026706726756801868, "grad_norm": 260.0, "learning_rate": 5.800000000000001e-07, "loss": 6.5796, "mean_token_accuracy": 0.21546755363233389, "num_tokens": 397518.0, "step": 30 }, { "entropy": 3.1255638763308524, "epoch": 0.03560896900906916, "grad_norm": 235.0, "learning_rate": 7.8e-07, "loss": 6.0702, "mean_token_accuracy": 0.22630739556625484, "num_tokens": 532019.0, "step": 40 }, { "entropy": 3.437747097015381, "epoch": 0.04451121126133645, "grad_norm": 120.0, "learning_rate": 9.800000000000001e-07, "loss": 5.3567, "mean_token_accuracy": 0.24060304677113892, "num_tokens": 667753.0, "step": 50 }, { "entropy": 3.8268849313259126, "epoch": 0.053413453513603736, "grad_norm": 69.0, "learning_rate": 1.1800000000000001e-06, "loss": 4.7458, "mean_token_accuracy": 0.25712613044306637, "num_tokens": 807220.0, "step": 60 }, { "entropy": 4.098993194103241, "epoch": 0.06231569576587103, "grad_norm": 44.0, "learning_rate": 1.3800000000000001e-06, "loss": 4.1873, "mean_token_accuracy": 0.2863635550253093, "num_tokens": 938024.0, "step": 70 }, { "entropy": 3.7632771015167235, "epoch": 0.07121793801813832, "grad_norm": 39.75, "learning_rate": 1.5800000000000001e-06, "loss": 3.8191, "mean_token_accuracy": 0.3185409564524889, "num_tokens": 1068429.0, "step": 80 }, { "entropy": 3.4629461631178855, "epoch": 0.08012018027040561, "grad_norm": 32.0, "learning_rate": 1.7800000000000001e-06, "loss": 3.5033, "mean_token_accuracy": 0.3425675223581493, "num_tokens": 1209109.0, "step": 90 }, { "entropy": 3.3570878595113753, "epoch": 0.0890224225226729, "grad_norm": 22.375, "learning_rate": 1.98e-06, "loss": 3.3283, "mean_token_accuracy": 0.36780647775158287, "num_tokens": 1336698.0, "step": 100 }, { "epoch": 0.0890224225226729, "eval_coding_entropy": 2.025357067108154, "eval_coding_loss": 2.231159210205078, "eval_coding_mean_token_accuracy": 0.49899543941020963, "eval_coding_num_tokens": 1336698.0, "eval_coding_runtime": 81.3311, "eval_coding_samples_per_second": 6.148, "eval_coding_steps_per_second": 3.074, "step": 100 }, { "epoch": 0.0890224225226729, "eval_chemistry_entropy": 3.242468201637268, "eval_chemistry_loss": 3.3159916400909424, "eval_chemistry_mean_token_accuracy": 0.3768811701536179, "eval_chemistry_num_tokens": 1336698.0, "eval_chemistry_runtime": 44.3638, "eval_chemistry_samples_per_second": 11.27, "eval_chemistry_steps_per_second": 5.635, "step": 100 }, { "entropy": 3.208672270178795, "epoch": 0.09792466477494019, "grad_norm": 26.625, "learning_rate": 2.1800000000000003e-06, "loss": 3.2262, "mean_token_accuracy": 0.38037093859165905, "num_tokens": 1470326.0, "step": 110 }, { "entropy": 3.073743937909603, "epoch": 0.10682690702720747, "grad_norm": 27.75, "learning_rate": 2.38e-06, "loss": 3.0418, "mean_token_accuracy": 0.4051793536171317, "num_tokens": 1608574.0, "step": 120 }, { "entropy": 3.0620595172047613, "epoch": 0.11572914927947477, "grad_norm": 23.0, "learning_rate": 2.5800000000000003e-06, "loss": 3.0619, "mean_token_accuracy": 0.407612837664783, "num_tokens": 1740382.0, "step": 130 }, { "entropy": 2.9336021929979323, "epoch": 0.12463139153174206, "grad_norm": 24.0, "learning_rate": 2.7800000000000005e-06, "loss": 2.8918, "mean_token_accuracy": 0.4315342627465725, "num_tokens": 1872747.0, "step": 140 }, { "entropy": 2.933651026338339, "epoch": 0.13353363378400934, "grad_norm": 21.125, "learning_rate": 2.9800000000000003e-06, "loss": 2.8977, "mean_token_accuracy": 0.4332870215177536, "num_tokens": 1999786.0, "step": 150 }, { "entropy": 2.78707619830966, "epoch": 0.14243587603627664, "grad_norm": 26.75, "learning_rate": 3.1800000000000005e-06, "loss": 2.713, "mean_token_accuracy": 0.45073309261351824, "num_tokens": 2133173.0, "step": 160 }, { "entropy": 2.686560308933258, "epoch": 0.15133811828854393, "grad_norm": 21.0, "learning_rate": 3.3800000000000007e-06, "loss": 2.6608, "mean_token_accuracy": 0.45698707569390534, "num_tokens": 2268889.0, "step": 170 }, { "entropy": 2.688250133395195, "epoch": 0.16024036054081123, "grad_norm": 23.0, "learning_rate": 3.58e-06, "loss": 2.6085, "mean_token_accuracy": 0.4693053809925914, "num_tokens": 2406145.0, "step": 180 }, { "entropy": 2.606059934198856, "epoch": 0.1691426027930785, "grad_norm": 19.0, "learning_rate": 3.7800000000000002e-06, "loss": 2.5776, "mean_token_accuracy": 0.4732652172446251, "num_tokens": 2533703.0, "step": 190 }, { "entropy": 2.6039498060941697, "epoch": 0.1780448450453458, "grad_norm": 20.625, "learning_rate": 3.980000000000001e-06, "loss": 2.5669, "mean_token_accuracy": 0.4830343261361122, "num_tokens": 2663709.0, "step": 200 }, { "epoch": 0.1780448450453458, "eval_coding_entropy": 1.940526816368103, "eval_coding_loss": 2.1769461631774902, "eval_coding_mean_token_accuracy": 0.5133515602350235, "eval_coding_num_tokens": 2663709.0, "eval_coding_runtime": 80.7684, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.095, "step": 200 }, { "epoch": 0.1780448450453458, "eval_chemistry_entropy": 2.574181836128235, "eval_chemistry_loss": 2.5678696632385254, "eval_chemistry_mean_token_accuracy": 0.4837975095510483, "eval_chemistry_num_tokens": 2663709.0, "eval_chemistry_runtime": 44.3338, "eval_chemistry_samples_per_second": 11.278, "eval_chemistry_steps_per_second": 5.639, "step": 200 }, { "entropy": 2.517921609431505, "epoch": 0.18694708729761308, "grad_norm": 21.875, "learning_rate": 4.18e-06, "loss": 2.4289, "mean_token_accuracy": 0.4946174016222358, "num_tokens": 2803638.0, "step": 210 }, { "entropy": 2.4712012231349947, "epoch": 0.19584932954988038, "grad_norm": 20.625, "learning_rate": 4.38e-06, "loss": 2.4073, "mean_token_accuracy": 0.4968462478369474, "num_tokens": 2934980.0, "step": 220 }, { "entropy": 2.402497890591621, "epoch": 0.20475157180214767, "grad_norm": 19.375, "learning_rate": 4.58e-06, "loss": 2.3435, "mean_token_accuracy": 0.507471177726984, "num_tokens": 3071339.0, "step": 230 }, { "entropy": 2.4326496072113515, "epoch": 0.21365381405441494, "grad_norm": 19.875, "learning_rate": 4.78e-06, "loss": 2.3438, "mean_token_accuracy": 0.5086988668888808, "num_tokens": 3208702.0, "step": 240 }, { "entropy": 2.321472028642893, "epoch": 0.22255605630668224, "grad_norm": 20.0, "learning_rate": 4.980000000000001e-06, "loss": 2.2871, "mean_token_accuracy": 0.5164231477305293, "num_tokens": 3347298.0, "step": 250 }, { "entropy": 2.342081367969513, "epoch": 0.23145829855894953, "grad_norm": 20.375, "learning_rate": 5.18e-06, "loss": 2.3225, "mean_token_accuracy": 0.5174826141446829, "num_tokens": 3480119.0, "step": 260 }, { "entropy": 2.30421741977334, "epoch": 0.24036054081121683, "grad_norm": 25.125, "learning_rate": 5.380000000000001e-06, "loss": 2.2163, "mean_token_accuracy": 0.5236617928370834, "num_tokens": 3615777.0, "step": 270 }, { "entropy": 2.3181479632854463, "epoch": 0.24926278306348412, "grad_norm": 19.625, "learning_rate": 5.580000000000001e-06, "loss": 2.2445, "mean_token_accuracy": 0.5264638463035226, "num_tokens": 3746392.0, "step": 280 }, { "entropy": 2.3754931248724462, "epoch": 0.2581650253157514, "grad_norm": 19.5, "learning_rate": 5.78e-06, "loss": 2.3122, "mean_token_accuracy": 0.5208129966631532, "num_tokens": 3880425.0, "step": 290 }, { "entropy": 2.2281612612307073, "epoch": 0.2670672675680187, "grad_norm": 21.5, "learning_rate": 5.98e-06, "loss": 2.1504, "mean_token_accuracy": 0.5389395957812667, "num_tokens": 4019487.0, "step": 300 }, { "epoch": 0.2670672675680187, "eval_coding_entropy": 1.8798885374069214, "eval_coding_loss": 2.1364073753356934, "eval_coding_mean_token_accuracy": 0.5203545212745666, "eval_coding_num_tokens": 4019487.0, "eval_coding_runtime": 80.6635, "eval_coding_samples_per_second": 6.199, "eval_coding_steps_per_second": 3.099, "step": 300 }, { "epoch": 0.2670672675680187, "eval_chemistry_entropy": 2.227835373401642, "eval_chemistry_loss": 2.2248311042785645, "eval_chemistry_mean_token_accuracy": 0.5376261820793152, "eval_chemistry_num_tokens": 4019487.0, "eval_chemistry_runtime": 44.3841, "eval_chemistry_samples_per_second": 11.265, "eval_chemistry_steps_per_second": 5.633, "step": 300 }, { "entropy": 2.2015350952744486, "epoch": 0.275969509820286, "grad_norm": 21.0, "learning_rate": 6.18e-06, "loss": 2.1543, "mean_token_accuracy": 0.5409426406025887, "num_tokens": 4162935.0, "step": 310 }, { "entropy": 2.148462438583374, "epoch": 0.2848717520725533, "grad_norm": 23.5, "learning_rate": 6.380000000000001e-06, "loss": 2.0957, "mean_token_accuracy": 0.5452342376112937, "num_tokens": 4298100.0, "step": 320 }, { "entropy": 2.0984656289219856, "epoch": 0.29377399432482054, "grad_norm": 19.5, "learning_rate": 6.5800000000000005e-06, "loss": 2.0404, "mean_token_accuracy": 0.5558066863566637, "num_tokens": 4431990.0, "step": 330 }, { "entropy": 2.1295887492597103, "epoch": 0.30267623657708786, "grad_norm": 17.625, "learning_rate": 6.780000000000001e-06, "loss": 2.0432, "mean_token_accuracy": 0.5554485151544213, "num_tokens": 4568116.0, "step": 340 }, { "entropy": 2.0176764823496343, "epoch": 0.31157847882935513, "grad_norm": 15.6875, "learning_rate": 6.98e-06, "loss": 1.9609, "mean_token_accuracy": 0.5690282396972179, "num_tokens": 4696575.0, "step": 350 }, { "entropy": 2.138897743076086, "epoch": 0.32048072108162245, "grad_norm": 20.0, "learning_rate": 7.180000000000001e-06, "loss": 2.0699, "mean_token_accuracy": 0.5525342913344502, "num_tokens": 4831334.0, "step": 360 }, { "entropy": 1.9979716561734677, "epoch": 0.3293829633338897, "grad_norm": 19.875, "learning_rate": 7.3800000000000005e-06, "loss": 1.9417, "mean_token_accuracy": 0.5726395657286047, "num_tokens": 4968132.0, "step": 370 }, { "entropy": 2.0710657715797423, "epoch": 0.338285205586157, "grad_norm": 23.125, "learning_rate": 7.58e-06, "loss": 1.9983, "mean_token_accuracy": 0.5640093663707375, "num_tokens": 5103301.0, "step": 380 }, { "entropy": 2.0690263971686362, "epoch": 0.3471874478384243, "grad_norm": 19.125, "learning_rate": 7.78e-06, "loss": 2.0099, "mean_token_accuracy": 0.5661305790767074, "num_tokens": 5230700.0, "step": 390 }, { "entropy": 2.0010731495916843, "epoch": 0.3560896900906916, "grad_norm": 15.625, "learning_rate": 7.980000000000002e-06, "loss": 1.9302, "mean_token_accuracy": 0.5734745427966118, "num_tokens": 5362915.0, "step": 400 }, { "epoch": 0.3560896900906916, "eval_coding_entropy": 1.9175666098594666, "eval_coding_loss": 2.1198952198028564, "eval_coding_mean_token_accuracy": 0.5218169560432434, "eval_coding_num_tokens": 5362915.0, "eval_coding_runtime": 80.6411, "eval_coding_samples_per_second": 6.2, "eval_coding_steps_per_second": 3.1, "step": 400 }, { "epoch": 0.3560896900906916, "eval_chemistry_entropy": 2.0164283666610716, "eval_chemistry_loss": 1.9814609289169312, "eval_chemistry_mean_token_accuracy": 0.5761862490177154, "eval_chemistry_num_tokens": 5362915.0, "eval_chemistry_runtime": 44.318, "eval_chemistry_samples_per_second": 11.282, "eval_chemistry_steps_per_second": 5.641, "step": 400 }, { "entropy": 1.9029628101736307, "epoch": 0.3649919323429589, "grad_norm": 20.625, "learning_rate": 8.18e-06, "loss": 1.861, "mean_token_accuracy": 0.5885544015094638, "num_tokens": 5497551.0, "step": 410 }, { "entropy": 1.8858691919595003, "epoch": 0.37389417459522617, "grad_norm": 18.75, "learning_rate": 8.380000000000001e-06, "loss": 1.8473, "mean_token_accuracy": 0.5886353930458427, "num_tokens": 5625455.0, "step": 420 }, { "entropy": 1.917143502831459, "epoch": 0.38279641684749344, "grad_norm": 18.0, "learning_rate": 8.580000000000001e-06, "loss": 1.8792, "mean_token_accuracy": 0.5864967351779342, "num_tokens": 5757241.0, "step": 430 }, { "entropy": 1.9342061571776867, "epoch": 0.39169865909976076, "grad_norm": 18.25, "learning_rate": 8.78e-06, "loss": 1.8538, "mean_token_accuracy": 0.5882492190226912, "num_tokens": 5890806.0, "step": 440 }, { "entropy": 1.8766419854015113, "epoch": 0.400600901352028, "grad_norm": 19.25, "learning_rate": 8.98e-06, "loss": 1.8162, "mean_token_accuracy": 0.5928706232458353, "num_tokens": 6023088.0, "step": 450 }, { "entropy": 1.8140752121806145, "epoch": 0.40950314360429535, "grad_norm": 17.375, "learning_rate": 9.180000000000002e-06, "loss": 1.7678, "mean_token_accuracy": 0.6031433455646038, "num_tokens": 6158751.0, "step": 460 }, { "entropy": 1.8589354373514653, "epoch": 0.4184053858565626, "grad_norm": 17.25, "learning_rate": 9.38e-06, "loss": 1.8104, "mean_token_accuracy": 0.5982734605669975, "num_tokens": 6289699.0, "step": 470 }, { "entropy": 1.8204911682754754, "epoch": 0.4273076281088299, "grad_norm": 18.125, "learning_rate": 9.58e-06, "loss": 1.7427, "mean_token_accuracy": 0.6014625774696469, "num_tokens": 6423747.0, "step": 480 }, { "entropy": 1.8097763508558273, "epoch": 0.4362098703610972, "grad_norm": 18.0, "learning_rate": 9.780000000000001e-06, "loss": 1.7556, "mean_token_accuracy": 0.606043404340744, "num_tokens": 6556651.0, "step": 490 }, { "entropy": 1.7938172847032547, "epoch": 0.4451121126133645, "grad_norm": 16.125, "learning_rate": 9.980000000000001e-06, "loss": 1.7349, "mean_token_accuracy": 0.6063602799549699, "num_tokens": 6684517.0, "step": 500 }, { "epoch": 0.4451121126133645, "eval_coding_entropy": 1.9086761941909791, "eval_coding_loss": 2.1499152183532715, "eval_coding_mean_token_accuracy": 0.5191502428054809, "eval_coding_num_tokens": 6684517.0, "eval_coding_runtime": 80.761, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.096, "step": 500 }, { "epoch": 0.4451121126133645, "eval_chemistry_entropy": 1.8382492520809173, "eval_chemistry_loss": 1.8092410564422607, "eval_chemistry_mean_token_accuracy": 0.6044963012933731, "eval_chemistry_num_tokens": 6684517.0, "eval_chemistry_runtime": 43.9817, "eval_chemistry_samples_per_second": 11.368, "eval_chemistry_steps_per_second": 5.684, "step": 500 }, { "entropy": 1.7506890654563905, "epoch": 0.4540143548656318, "grad_norm": 17.0, "learning_rate": 1.018e-05, "loss": 1.6717, "mean_token_accuracy": 0.6144311860203743, "num_tokens": 6814065.0, "step": 510 }, { "entropy": 1.752192370966077, "epoch": 0.46291659711789906, "grad_norm": 18.5, "learning_rate": 1.038e-05, "loss": 1.6926, "mean_token_accuracy": 0.6115166075527668, "num_tokens": 6945659.0, "step": 520 }, { "entropy": 1.7476748272776603, "epoch": 0.4718188393701664, "grad_norm": 18.875, "learning_rate": 1.0580000000000002e-05, "loss": 1.6791, "mean_token_accuracy": 0.614359668083489, "num_tokens": 7083465.0, "step": 530 }, { "entropy": 1.7340088631957769, "epoch": 0.48072108162243365, "grad_norm": 14.125, "learning_rate": 1.0780000000000002e-05, "loss": 1.7051, "mean_token_accuracy": 0.6148024540394544, "num_tokens": 7217797.0, "step": 540 }, { "entropy": 1.7364882446825505, "epoch": 0.4896233238747009, "grad_norm": 16.25, "learning_rate": 1.0980000000000002e-05, "loss": 1.6523, "mean_token_accuracy": 0.6168902778998018, "num_tokens": 7364316.0, "step": 550 }, { "entropy": 1.6127678520977498, "epoch": 0.49852556612696824, "grad_norm": 20.5, "learning_rate": 1.1180000000000001e-05, "loss": 1.5842, "mean_token_accuracy": 0.6330170270055533, "num_tokens": 7498182.0, "step": 560 }, { "entropy": 1.7071593157947063, "epoch": 0.5074278083792355, "grad_norm": 15.1875, "learning_rate": 1.138e-05, "loss": 1.6117, "mean_token_accuracy": 0.6257967110723257, "num_tokens": 7630581.0, "step": 570 }, { "entropy": 1.6894463405013085, "epoch": 0.5163300506315028, "grad_norm": 17.875, "learning_rate": 1.1580000000000001e-05, "loss": 1.6253, "mean_token_accuracy": 0.6228752240538598, "num_tokens": 7761686.0, "step": 580 }, { "entropy": 1.7127487953752278, "epoch": 0.52523229288377, "grad_norm": 14.8125, "learning_rate": 1.178e-05, "loss": 1.6567, "mean_token_accuracy": 0.6184359768405556, "num_tokens": 7894733.0, "step": 590 }, { "entropy": 1.7086713213473559, "epoch": 0.5341345351360374, "grad_norm": 15.75, "learning_rate": 1.198e-05, "loss": 1.6548, "mean_token_accuracy": 0.6228462293744087, "num_tokens": 8026923.0, "step": 600 }, { "epoch": 0.5341345351360374, "eval_coding_entropy": 1.9360160393714905, "eval_coding_loss": 2.150575876235962, "eval_coding_mean_token_accuracy": 0.5199909027814865, "eval_coding_num_tokens": 8026923.0, "eval_coding_runtime": 80.6899, "eval_coding_samples_per_second": 6.197, "eval_coding_steps_per_second": 3.098, "step": 600 }, { "epoch": 0.5341345351360374, "eval_chemistry_entropy": 1.7303061096668244, "eval_chemistry_loss": 1.6744147539138794, "eval_chemistry_mean_token_accuracy": 0.6269070360660552, "eval_chemistry_num_tokens": 8026923.0, "eval_chemistry_runtime": 44.5775, "eval_chemistry_samples_per_second": 11.216, "eval_chemistry_steps_per_second": 5.608, "step": 600 }, { "entropy": 1.692430131137371, "epoch": 0.5430367773883047, "grad_norm": 14.75, "learning_rate": 1.218e-05, "loss": 1.6309, "mean_token_accuracy": 0.6261043848469854, "num_tokens": 8162179.0, "step": 610 }, { "entropy": 1.6273927468806506, "epoch": 0.551939019640572, "grad_norm": 17.875, "learning_rate": 1.2380000000000002e-05, "loss": 1.6052, "mean_token_accuracy": 0.6333680363371968, "num_tokens": 8301506.0, "step": 620 }, { "entropy": 1.6359726019203662, "epoch": 0.5608412618928392, "grad_norm": 16.625, "learning_rate": 1.2580000000000002e-05, "loss": 1.574, "mean_token_accuracy": 0.6349722359329462, "num_tokens": 8425846.0, "step": 630 }, { "entropy": 1.6046722147613763, "epoch": 0.5697435041451065, "grad_norm": 16.125, "learning_rate": 1.2780000000000001e-05, "loss": 1.5789, "mean_token_accuracy": 0.6387555615976452, "num_tokens": 8559126.0, "step": 640 }, { "entropy": 1.641243514046073, "epoch": 0.5786457463973739, "grad_norm": 18.375, "learning_rate": 1.2980000000000001e-05, "loss": 1.5626, "mean_token_accuracy": 0.6389757834374905, "num_tokens": 8685256.0, "step": 650 }, { "entropy": 1.6162871330976487, "epoch": 0.5875479886496411, "grad_norm": 13.375, "learning_rate": 1.3180000000000001e-05, "loss": 1.585, "mean_token_accuracy": 0.6322070205584168, "num_tokens": 8821088.0, "step": 660 }, { "entropy": 1.5711755152791738, "epoch": 0.5964502309019084, "grad_norm": 16.125, "learning_rate": 1.3380000000000002e-05, "loss": 1.5036, "mean_token_accuracy": 0.6462705478072166, "num_tokens": 8950665.0, "step": 670 }, { "entropy": 1.5002975206822158, "epoch": 0.6053524731541757, "grad_norm": 11.875, "learning_rate": 1.3580000000000002e-05, "loss": 1.455, "mean_token_accuracy": 0.6536407358944416, "num_tokens": 9089866.0, "step": 680 }, { "entropy": 1.5762819994241, "epoch": 0.614254715406443, "grad_norm": 15.3125, "learning_rate": 1.378e-05, "loss": 1.5317, "mean_token_accuracy": 0.6418447192758322, "num_tokens": 9219941.0, "step": 690 }, { "entropy": 1.5155543368309736, "epoch": 0.6231569576587103, "grad_norm": 14.1875, "learning_rate": 1.398e-05, "loss": 1.4688, "mean_token_accuracy": 0.6533356573432684, "num_tokens": 9358866.0, "step": 700 }, { "epoch": 0.6231569576587103, "eval_coding_entropy": 1.9042859573364257, "eval_coding_loss": 2.178054094314575, "eval_coding_mean_token_accuracy": 0.517359386563301, "eval_coding_num_tokens": 9358866.0, "eval_coding_runtime": 80.7138, "eval_coding_samples_per_second": 6.195, "eval_coding_steps_per_second": 3.097, "step": 700 }, { "epoch": 0.6231569576587103, "eval_chemistry_entropy": 1.56386332988739, "eval_chemistry_loss": 1.572709560394287, "eval_chemistry_mean_token_accuracy": 0.6433606895208359, "eval_chemistry_num_tokens": 9358866.0, "eval_chemistry_runtime": 44.295, "eval_chemistry_samples_per_second": 11.288, "eval_chemistry_steps_per_second": 5.644, "step": 700 }, { "entropy": 1.5002719465643168, "epoch": 0.6320591999109776, "grad_norm": 15.75, "learning_rate": 1.418e-05, "loss": 1.4804, "mean_token_accuracy": 0.6501881824806333, "num_tokens": 9493065.0, "step": 710 }, { "entropy": 1.522989520803094, "epoch": 0.6409614421632449, "grad_norm": 16.75, "learning_rate": 1.4380000000000001e-05, "loss": 1.4427, "mean_token_accuracy": 0.6548429084941745, "num_tokens": 9629977.0, "step": 720 }, { "entropy": 1.4675043471157552, "epoch": 0.6498636844155121, "grad_norm": 11.9375, "learning_rate": 1.4580000000000001e-05, "loss": 1.4134, "mean_token_accuracy": 0.6610828962177038, "num_tokens": 9765477.0, "step": 730 }, { "entropy": 1.491576162353158, "epoch": 0.6587659266677794, "grad_norm": 14.625, "learning_rate": 1.478e-05, "loss": 1.4587, "mean_token_accuracy": 0.6557513184845447, "num_tokens": 9897757.0, "step": 740 }, { "entropy": 1.4832498595118522, "epoch": 0.6676681689200468, "grad_norm": 13.0625, "learning_rate": 1.498e-05, "loss": 1.4184, "mean_token_accuracy": 0.6580261953175068, "num_tokens": 10026698.0, "step": 750 }, { "entropy": 1.4681301727890967, "epoch": 0.676570411172314, "grad_norm": 12.6875, "learning_rate": 1.5180000000000002e-05, "loss": 1.4207, "mean_token_accuracy": 0.6607962453737855, "num_tokens": 10168367.0, "step": 760 }, { "entropy": 1.431799278780818, "epoch": 0.6854726534245813, "grad_norm": 12.375, "learning_rate": 1.5380000000000002e-05, "loss": 1.4078, "mean_token_accuracy": 0.6646994914859533, "num_tokens": 10307268.0, "step": 770 }, { "entropy": 1.4440745569765567, "epoch": 0.6943748956768486, "grad_norm": 11.4375, "learning_rate": 1.5580000000000003e-05, "loss": 1.3797, "mean_token_accuracy": 0.666821115091443, "num_tokens": 10439039.0, "step": 780 }, { "entropy": 1.4467374693602324, "epoch": 0.703277137929116, "grad_norm": 12.3125, "learning_rate": 1.578e-05, "loss": 1.4202, "mean_token_accuracy": 0.6628865763545037, "num_tokens": 10576127.0, "step": 790 }, { "entropy": 1.476112574338913, "epoch": 0.7121793801813832, "grad_norm": 12.375, "learning_rate": 1.5980000000000003e-05, "loss": 1.397, "mean_token_accuracy": 0.663382687792182, "num_tokens": 10709549.0, "step": 800 }, { "epoch": 0.7121793801813832, "eval_coding_entropy": 1.8322501955032349, "eval_coding_loss": 2.2156379222869873, "eval_coding_mean_token_accuracy": 0.5140866179466248, "eval_coding_num_tokens": 10709549.0, "eval_coding_runtime": 80.6982, "eval_coding_samples_per_second": 6.196, "eval_coding_steps_per_second": 3.098, "step": 800 }, { "epoch": 0.7121793801813832, "eval_chemistry_entropy": 1.456686591386795, "eval_chemistry_loss": 1.4780359268188477, "eval_chemistry_mean_token_accuracy": 0.6602535841464996, "eval_chemistry_num_tokens": 10709549.0, "eval_chemistry_runtime": 44.3155, "eval_chemistry_samples_per_second": 11.283, "eval_chemistry_steps_per_second": 5.641, "step": 800 }, { "entropy": 1.3352404598146677, "epoch": 0.7210816224336505, "grad_norm": 13.75, "learning_rate": 1.618e-05, "loss": 1.3165, "mean_token_accuracy": 0.6821591448038816, "num_tokens": 10841474.0, "step": 810 }, { "entropy": 1.4511364437639713, "epoch": 0.7299838646859178, "grad_norm": 11.75, "learning_rate": 1.638e-05, "loss": 1.4194, "mean_token_accuracy": 0.6614615445956588, "num_tokens": 10976011.0, "step": 820 }, { "entropy": 1.4821706857532262, "epoch": 0.738886106938185, "grad_norm": 10.875, "learning_rate": 1.658e-05, "loss": 1.4022, "mean_token_accuracy": 0.662100600078702, "num_tokens": 11109618.0, "step": 830 }, { "entropy": 1.3720035433769227, "epoch": 0.7477883491904523, "grad_norm": 13.0625, "learning_rate": 1.6780000000000002e-05, "loss": 1.3532, "mean_token_accuracy": 0.6731239786371589, "num_tokens": 11245251.0, "step": 840 }, { "entropy": 1.428163754194975, "epoch": 0.7566905914427197, "grad_norm": 12.625, "learning_rate": 1.698e-05, "loss": 1.384, "mean_token_accuracy": 0.6671924598515033, "num_tokens": 11379950.0, "step": 850 }, { "entropy": 1.425218838453293, "epoch": 0.7655928336949869, "grad_norm": 12.4375, "learning_rate": 1.718e-05, "loss": 1.3805, "mean_token_accuracy": 0.6696572992950678, "num_tokens": 11518514.0, "step": 860 }, { "entropy": 1.3892541889101266, "epoch": 0.7744950759472542, "grad_norm": 10.0, "learning_rate": 1.7380000000000003e-05, "loss": 1.3583, "mean_token_accuracy": 0.6718392688781023, "num_tokens": 11650235.0, "step": 870 }, { "entropy": 1.409494410455227, "epoch": 0.7833973181995215, "grad_norm": 9.6875, "learning_rate": 1.758e-05, "loss": 1.3757, "mean_token_accuracy": 0.6687737111002207, "num_tokens": 11787117.0, "step": 880 }, { "entropy": 1.3409042585641147, "epoch": 0.7922995604517888, "grad_norm": 13.625, "learning_rate": 1.7780000000000003e-05, "loss": 1.3062, "mean_token_accuracy": 0.6828067794442176, "num_tokens": 11924960.0, "step": 890 }, { "entropy": 1.461272732913494, "epoch": 0.801201802704056, "grad_norm": 12.8125, "learning_rate": 1.798e-05, "loss": 1.4331, "mean_token_accuracy": 0.6593699859455228, "num_tokens": 12050993.0, "step": 900 }, { "epoch": 0.801201802704056, "eval_coding_entropy": 1.9756887073516847, "eval_coding_loss": 2.2261524200439453, "eval_coding_mean_token_accuracy": 0.5107356268167496, "eval_coding_num_tokens": 12050993.0, "eval_coding_runtime": 80.8151, "eval_coding_samples_per_second": 6.187, "eval_coding_steps_per_second": 3.093, "step": 900 }, { "epoch": 0.801201802704056, "eval_chemistry_entropy": 1.4363152146339417, "eval_chemistry_loss": 1.4172585010528564, "eval_chemistry_mean_token_accuracy": 0.6695912653207778, "eval_chemistry_num_tokens": 12050993.0, "eval_chemistry_runtime": 44.4444, "eval_chemistry_samples_per_second": 11.25, "eval_chemistry_steps_per_second": 5.625, "step": 900 }, { "entropy": 1.409971272200346, "epoch": 0.8101040449563234, "grad_norm": 9.75, "learning_rate": 1.8180000000000002e-05, "loss": 1.3519, "mean_token_accuracy": 0.6748842839151621, "num_tokens": 12184261.0, "step": 910 }, { "entropy": 1.3415631584823131, "epoch": 0.8190062872085907, "grad_norm": 11.1875, "learning_rate": 1.8380000000000004e-05, "loss": 1.3134, "mean_token_accuracy": 0.6776627466082573, "num_tokens": 12311688.0, "step": 920 }, { "entropy": 1.3450417269021273, "epoch": 0.8279085294608579, "grad_norm": 9.6875, "learning_rate": 1.858e-05, "loss": 1.2681, "mean_token_accuracy": 0.6853212669491768, "num_tokens": 12453515.0, "step": 930 }, { "entropy": 1.3162209324538707, "epoch": 0.8368107717131252, "grad_norm": 9.3125, "learning_rate": 1.878e-05, "loss": 1.2935, "mean_token_accuracy": 0.6805886892601848, "num_tokens": 12598408.0, "step": 940 }, { "entropy": 1.3450543098151684, "epoch": 0.8457130139653926, "grad_norm": 11.125, "learning_rate": 1.898e-05, "loss": 1.3186, "mean_token_accuracy": 0.6790889304131269, "num_tokens": 12732830.0, "step": 950 }, { "entropy": 1.3630160838365555, "epoch": 0.8546152562176598, "grad_norm": 11.0, "learning_rate": 1.918e-05, "loss": 1.3251, "mean_token_accuracy": 0.6795368468388915, "num_tokens": 12869642.0, "step": 960 }, { "entropy": 1.2341018915176392, "epoch": 0.8635174984699271, "grad_norm": 9.4375, "learning_rate": 1.938e-05, "loss": 1.2047, "mean_token_accuracy": 0.697525155171752, "num_tokens": 13002795.0, "step": 970 }, { "entropy": 1.3432362783700227, "epoch": 0.8724197407221944, "grad_norm": 11.9375, "learning_rate": 1.9580000000000002e-05, "loss": 1.3242, "mean_token_accuracy": 0.682424726523459, "num_tokens": 13139555.0, "step": 980 }, { "entropy": 1.3661971539258957, "epoch": 0.8813219829744617, "grad_norm": 11.0625, "learning_rate": 1.978e-05, "loss": 1.3181, "mean_token_accuracy": 0.678005202487111, "num_tokens": 13261742.0, "step": 990 }, { "entropy": 1.33810890391469, "epoch": 0.890224225226729, "grad_norm": 9.3125, "learning_rate": 1.9980000000000002e-05, "loss": 1.2809, "mean_token_accuracy": 0.6845312876626849, "num_tokens": 13396545.0, "step": 1000 }, { "epoch": 0.890224225226729, "eval_coding_entropy": 1.8324014544487, "eval_coding_loss": 2.2719883918762207, "eval_coding_mean_token_accuracy": 0.506569258928299, "eval_coding_num_tokens": 13396545.0, "eval_coding_runtime": 80.808, "eval_coding_samples_per_second": 6.188, "eval_coding_steps_per_second": 3.094, "step": 1000 }, { "epoch": 0.890224225226729, "eval_chemistry_entropy": 1.2783789792060851, "eval_chemistry_loss": 1.3424817323684692, "eval_chemistry_mean_token_accuracy": 0.6828865656852722, "eval_chemistry_num_tokens": 13396545.0, "eval_chemistry_runtime": 43.9749, "eval_chemistry_samples_per_second": 11.37, "eval_chemistry_steps_per_second": 5.685, "step": 1000 }, { "entropy": 1.3035245168954135, "epoch": 0.8991264674789963, "grad_norm": 9.375, "learning_rate": 1.9980000000000002e-05, "loss": 1.2693, "mean_token_accuracy": 0.688488537631929, "num_tokens": 13530331.0, "step": 1010 }, { "entropy": 1.3113087877631187, "epoch": 0.9080287097312636, "grad_norm": 10.1875, "learning_rate": 1.995777777777778e-05, "loss": 1.2332, "mean_token_accuracy": 0.685172756575048, "num_tokens": 13667857.0, "step": 1020 }, { "entropy": 1.2651601791381837, "epoch": 0.9169309519835308, "grad_norm": 8.0625, "learning_rate": 1.9935555555555557e-05, "loss": 1.2144, "mean_token_accuracy": 0.694831382855773, "num_tokens": 13804327.0, "step": 1030 }, { "entropy": 1.375035434216261, "epoch": 0.9258331942357981, "grad_norm": 7.875, "learning_rate": 1.9913333333333335e-05, "loss": 1.3072, "mean_token_accuracy": 0.6771694764494895, "num_tokens": 13932771.0, "step": 1040 }, { "entropy": 1.2766119629144668, "epoch": 0.9347354364880655, "grad_norm": 17.875, "learning_rate": 1.9891111111111112e-05, "loss": 1.2383, "mean_token_accuracy": 0.6927796453237534, "num_tokens": 14054030.0, "step": 1050 }, { "entropy": 1.2739322971552611, "epoch": 0.9436376787403328, "grad_norm": 8.8125, "learning_rate": 1.986888888888889e-05, "loss": 1.2235, "mean_token_accuracy": 0.697489945217967, "num_tokens": 14194632.0, "step": 1060 }, { "entropy": 1.2921774670481683, "epoch": 0.9525399209926, "grad_norm": 10.5625, "learning_rate": 1.9846666666666668e-05, "loss": 1.2519, "mean_token_accuracy": 0.6894336406141519, "num_tokens": 14324321.0, "step": 1070 }, { "entropy": 1.3097396202385425, "epoch": 0.9614421632448673, "grad_norm": 8.1875, "learning_rate": 1.9824444444444445e-05, "loss": 1.2746, "mean_token_accuracy": 0.6891787204891443, "num_tokens": 14457650.0, "step": 1080 }, { "entropy": 1.2524930398911238, "epoch": 0.9703444054971346, "grad_norm": 9.5, "learning_rate": 1.9802222222222226e-05, "loss": 1.2239, "mean_token_accuracy": 0.693185362778604, "num_tokens": 14597103.0, "step": 1090 }, { "entropy": 1.2353097528219223, "epoch": 0.9792466477494018, "grad_norm": 9.0625, "learning_rate": 1.978e-05, "loss": 1.188, "mean_token_accuracy": 0.7037162348628044, "num_tokens": 14724967.0, "step": 1100 }, { "epoch": 0.9792466477494018, "eval_coding_entropy": 1.9174934754371642, "eval_coding_loss": 2.2787740230560303, "eval_coding_mean_token_accuracy": 0.5043189586400986, "eval_coding_num_tokens": 14724967.0, "eval_coding_runtime": 80.7608, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.096, "step": 1100 }, { "epoch": 0.9792466477494018, "eval_chemistry_entropy": 1.2794872944355011, "eval_chemistry_loss": 1.2872111797332764, "eval_chemistry_mean_token_accuracy": 0.6942087370157242, "eval_chemistry_num_tokens": 14724967.0, "eval_chemistry_runtime": 44.348, "eval_chemistry_samples_per_second": 11.274, "eval_chemistry_steps_per_second": 5.637, "step": 1100 }, { "entropy": 1.2467465713620185, "epoch": 0.9881488900016692, "grad_norm": 8.0625, "learning_rate": 1.975777777777778e-05, "loss": 1.2251, "mean_token_accuracy": 0.6985302936285734, "num_tokens": 14866601.0, "step": 1110 }, { "entropy": 1.2711088940501214, "epoch": 0.9970511322539365, "grad_norm": 7.90625, "learning_rate": 1.9735555555555556e-05, "loss": 1.2636, "mean_token_accuracy": 0.6943498553708196, "num_tokens": 14993272.0, "step": 1120 }, { "entropy": 1.16374516967159, "epoch": 1.0053413453513604, "grad_norm": 8.625, "learning_rate": 1.9713333333333337e-05, "loss": 1.1153, "mean_token_accuracy": 0.7124827076124665, "num_tokens": 15117600.0, "step": 1130 }, { "entropy": 1.0887193260714412, "epoch": 1.0142435876036278, "grad_norm": 7.28125, "learning_rate": 1.969111111111111e-05, "loss": 1.0437, "mean_token_accuracy": 0.7269797824323178, "num_tokens": 15254936.0, "step": 1140 }, { "entropy": 1.182083160057664, "epoch": 1.0231458298558949, "grad_norm": 8.375, "learning_rate": 1.9668888888888892e-05, "loss": 1.1231, "mean_token_accuracy": 0.7116198563948274, "num_tokens": 15384044.0, "step": 1150 }, { "entropy": 1.149610160663724, "epoch": 1.0320480721081622, "grad_norm": 7.75, "learning_rate": 1.9646666666666666e-05, "loss": 1.121, "mean_token_accuracy": 0.7131425060331822, "num_tokens": 15515007.0, "step": 1160 }, { "entropy": 1.097679178789258, "epoch": 1.0409503143604295, "grad_norm": 7.90625, "learning_rate": 1.9624444444444447e-05, "loss": 1.0517, "mean_token_accuracy": 0.7278640700504184, "num_tokens": 15661927.0, "step": 1170 }, { "entropy": 1.1251065036281944, "epoch": 1.0498525566126968, "grad_norm": 7.90625, "learning_rate": 1.9602222222222225e-05, "loss": 1.1007, "mean_token_accuracy": 0.7212187899276614, "num_tokens": 15794203.0, "step": 1180 }, { "entropy": 1.139916059933603, "epoch": 1.0587547988649642, "grad_norm": 9.1875, "learning_rate": 1.9580000000000002e-05, "loss": 1.1087, "mean_token_accuracy": 0.7153899630531668, "num_tokens": 15929958.0, "step": 1190 }, { "entropy": 1.122027451172471, "epoch": 1.0676570411172315, "grad_norm": 10.5, "learning_rate": 1.955777777777778e-05, "loss": 1.1006, "mean_token_accuracy": 0.722288279607892, "num_tokens": 16063664.0, "step": 1200 }, { "epoch": 1.0676570411172315, "eval_coding_entropy": 1.7862111530303955, "eval_coding_loss": 2.3154520988464355, "eval_coding_mean_token_accuracy": 0.503941803097725, "eval_coding_num_tokens": 16063664.0, "eval_coding_runtime": 80.6939, "eval_coding_samples_per_second": 6.196, "eval_coding_steps_per_second": 3.098, "step": 1200 }, { "epoch": 1.0676570411172315, "eval_chemistry_entropy": 1.1847249876260757, "eval_chemistry_loss": 1.2270034551620483, "eval_chemistry_mean_token_accuracy": 0.7046360708475113, "eval_chemistry_num_tokens": 16063664.0, "eval_chemistry_runtime": 44.2926, "eval_chemistry_samples_per_second": 11.289, "eval_chemistry_steps_per_second": 5.644, "step": 1200 }, { "entropy": 1.0779426898807287, "epoch": 1.0765592833694986, "grad_norm": 7.78125, "learning_rate": 1.9535555555555557e-05, "loss": 1.0534, "mean_token_accuracy": 0.730063559487462, "num_tokens": 16203903.0, "step": 1210 }, { "entropy": 1.106826901063323, "epoch": 1.085461525621766, "grad_norm": 9.3125, "learning_rate": 1.9513333333333335e-05, "loss": 1.0825, "mean_token_accuracy": 0.7251957911998034, "num_tokens": 16338303.0, "step": 1220 }, { "entropy": 1.136346418224275, "epoch": 1.0943637678740332, "grad_norm": 8.375, "learning_rate": 1.9491111111111113e-05, "loss": 1.0946, "mean_token_accuracy": 0.718695884756744, "num_tokens": 16470818.0, "step": 1230 }, { "entropy": 1.136488999426365, "epoch": 1.1032660101263005, "grad_norm": 9.0, "learning_rate": 1.946888888888889e-05, "loss": 1.0941, "mean_token_accuracy": 0.7204574767500163, "num_tokens": 16606302.0, "step": 1240 }, { "entropy": 1.0911134846508503, "epoch": 1.1121682523785679, "grad_norm": 6.625, "learning_rate": 1.9446666666666668e-05, "loss": 1.0438, "mean_token_accuracy": 0.7281744480133057, "num_tokens": 16737209.0, "step": 1250 }, { "entropy": 1.1247851882129907, "epoch": 1.1210704946308352, "grad_norm": 7.375, "learning_rate": 1.9424444444444446e-05, "loss": 1.0708, "mean_token_accuracy": 0.7217418739572168, "num_tokens": 16877071.0, "step": 1260 }, { "entropy": 1.1004639966413379, "epoch": 1.1299727368831025, "grad_norm": 8.25, "learning_rate": 1.9402222222222223e-05, "loss": 1.0983, "mean_token_accuracy": 0.7219324804842472, "num_tokens": 17011127.0, "step": 1270 }, { "entropy": 1.0730026822537184, "epoch": 1.1388749791353696, "grad_norm": 8.5625, "learning_rate": 1.938e-05, "loss": 1.0242, "mean_token_accuracy": 0.7301186516880989, "num_tokens": 17145775.0, "step": 1280 }, { "entropy": 1.0746742237359286, "epoch": 1.147777221387637, "grad_norm": 6.4375, "learning_rate": 1.935777777777778e-05, "loss": 1.0389, "mean_token_accuracy": 0.7312157262116671, "num_tokens": 17278708.0, "step": 1290 }, { "entropy": 1.1036461044102908, "epoch": 1.1566794636399043, "grad_norm": 6.90625, "learning_rate": 1.9335555555555556e-05, "loss": 1.0666, "mean_token_accuracy": 0.7227642200887203, "num_tokens": 17410775.0, "step": 1300 }, { "epoch": 1.1566794636399043, "eval_coding_entropy": 1.82445157289505, "eval_coding_loss": 2.3140883445739746, "eval_coding_mean_token_accuracy": 0.5025496450662613, "eval_coding_num_tokens": 17410775.0, "eval_coding_runtime": 80.8109, "eval_coding_samples_per_second": 6.187, "eval_coding_steps_per_second": 3.094, "step": 1300 }, { "epoch": 1.1566794636399043, "eval_chemistry_entropy": 1.1369108176231384, "eval_chemistry_loss": 1.1869932413101196, "eval_chemistry_mean_token_accuracy": 0.7125645990371704, "eval_chemistry_num_tokens": 17410775.0, "eval_chemistry_runtime": 44.3736, "eval_chemistry_samples_per_second": 11.268, "eval_chemistry_steps_per_second": 5.634, "step": 1300 }, { "entropy": 1.098898689262569, "epoch": 1.1655817058921716, "grad_norm": 7.96875, "learning_rate": 1.9313333333333334e-05, "loss": 1.0895, "mean_token_accuracy": 0.7260249227285385, "num_tokens": 17543395.0, "step": 1310 }, { "entropy": 1.1586046267300845, "epoch": 1.174483948144439, "grad_norm": 7.15625, "learning_rate": 1.9291111111111115e-05, "loss": 1.0871, "mean_token_accuracy": 0.7148085344582796, "num_tokens": 17677791.0, "step": 1320 }, { "entropy": 1.0978492671623825, "epoch": 1.1833861903967062, "grad_norm": 7.8125, "learning_rate": 1.926888888888889e-05, "loss": 1.0462, "mean_token_accuracy": 0.730253504216671, "num_tokens": 17812608.0, "step": 1330 }, { "entropy": 1.0760172510519623, "epoch": 1.1922884326489736, "grad_norm": 7.1875, "learning_rate": 1.924666666666667e-05, "loss": 1.0303, "mean_token_accuracy": 0.7288852859288454, "num_tokens": 17949441.0, "step": 1340 }, { "entropy": 1.063178063556552, "epoch": 1.2011906749012407, "grad_norm": 7.125, "learning_rate": 1.9224444444444444e-05, "loss": 1.0237, "mean_token_accuracy": 0.7320365833118558, "num_tokens": 18079231.0, "step": 1350 }, { "entropy": 1.074139853566885, "epoch": 1.210092917153508, "grad_norm": 7.875, "learning_rate": 1.9202222222222225e-05, "loss": 1.0405, "mean_token_accuracy": 0.7328159822151065, "num_tokens": 18217742.0, "step": 1360 }, { "entropy": 1.075910792313516, "epoch": 1.2189951594057753, "grad_norm": 7.0625, "learning_rate": 1.918e-05, "loss": 1.0279, "mean_token_accuracy": 0.7312528677284718, "num_tokens": 18360535.0, "step": 1370 }, { "entropy": 1.0907096166163683, "epoch": 1.2278974016580426, "grad_norm": 7.15625, "learning_rate": 1.915777777777778e-05, "loss": 1.0552, "mean_token_accuracy": 0.7264303725212813, "num_tokens": 18487769.0, "step": 1380 }, { "entropy": 1.081585726328194, "epoch": 1.23679964391031, "grad_norm": 6.78125, "learning_rate": 1.9135555555555555e-05, "loss": 1.0514, "mean_token_accuracy": 0.727237294241786, "num_tokens": 18622690.0, "step": 1390 }, { "entropy": 1.0638965075835585, "epoch": 1.2457018861625773, "grad_norm": 6.9375, "learning_rate": 1.9113333333333336e-05, "loss": 1.0176, "mean_token_accuracy": 0.7334342382848262, "num_tokens": 18760296.0, "step": 1400 }, { "epoch": 1.2457018861625773, "eval_coding_entropy": 1.8175329451560973, "eval_coding_loss": 2.3160665035247803, "eval_coding_mean_token_accuracy": 0.5024578042030334, "eval_coding_num_tokens": 18760296.0, "eval_coding_runtime": 80.7542, "eval_coding_samples_per_second": 6.192, "eval_coding_steps_per_second": 3.096, "step": 1400 }, { "epoch": 1.2457018861625773, "eval_chemistry_entropy": 1.1010388153791428, "eval_chemistry_loss": 1.154791235923767, "eval_chemistry_mean_token_accuracy": 0.7180610251426697, "eval_chemistry_num_tokens": 18760296.0, "eval_chemistry_runtime": 44.4534, "eval_chemistry_samples_per_second": 11.248, "eval_chemistry_steps_per_second": 5.624, "step": 1400 }, { "entropy": 1.0695431407541036, "epoch": 1.2546041284148446, "grad_norm": 6.5, "learning_rate": 1.9091111111111113e-05, "loss": 1.0238, "mean_token_accuracy": 0.7328258238732814, "num_tokens": 18902929.0, "step": 1410 }, { "entropy": 1.0441692693158984, "epoch": 1.2635063706671117, "grad_norm": 6.625, "learning_rate": 1.906888888888889e-05, "loss": 1.0063, "mean_token_accuracy": 0.7369453951716423, "num_tokens": 19035733.0, "step": 1420 }, { "entropy": 1.0926606407389046, "epoch": 1.272408612919379, "grad_norm": 6.875, "learning_rate": 1.904666666666667e-05, "loss": 1.0584, "mean_token_accuracy": 0.7249008229002356, "num_tokens": 19176688.0, "step": 1430 }, { "entropy": 1.0925894405692815, "epoch": 1.2813108551716463, "grad_norm": 5.84375, "learning_rate": 1.9024444444444446e-05, "loss": 1.0454, "mean_token_accuracy": 0.7300722308456897, "num_tokens": 19311432.0, "step": 1440 }, { "entropy": 1.0371008031070232, "epoch": 1.2902130974239137, "grad_norm": 6.9375, "learning_rate": 1.9002222222222224e-05, "loss": 1.0135, "mean_token_accuracy": 0.7359844289720059, "num_tokens": 19455868.0, "step": 1450 }, { "entropy": 1.0112120743840933, "epoch": 1.299115339676181, "grad_norm": 6.8125, "learning_rate": 1.898e-05, "loss": 0.9746, "mean_token_accuracy": 0.7447358928620815, "num_tokens": 19593016.0, "step": 1460 }, { "entropy": 1.0387776872143148, "epoch": 1.3080175819284483, "grad_norm": 6.5, "learning_rate": 1.895777777777778e-05, "loss": 0.9989, "mean_token_accuracy": 0.736772421002388, "num_tokens": 19729273.0, "step": 1470 }, { "entropy": 1.047124046459794, "epoch": 1.3169198241807156, "grad_norm": 5.71875, "learning_rate": 1.8935555555555556e-05, "loss": 1.0033, "mean_token_accuracy": 0.7367634609341621, "num_tokens": 19860476.0, "step": 1480 }, { "entropy": 1.0483765492215753, "epoch": 1.3258220664329827, "grad_norm": 6.46875, "learning_rate": 1.8913333333333334e-05, "loss": 0.9927, "mean_token_accuracy": 0.7344137353822588, "num_tokens": 19993681.0, "step": 1490 }, { "entropy": 1.0336147954687476, "epoch": 1.33472430868525, "grad_norm": 6.625, "learning_rate": 1.8891111111111115e-05, "loss": 0.9945, "mean_token_accuracy": 0.7402323342859745, "num_tokens": 20124436.0, "step": 1500 }, { "epoch": 1.33472430868525, "eval_coding_entropy": 1.817141619682312, "eval_coding_loss": 2.247633218765259, "eval_coding_mean_token_accuracy": 0.5122213376760483, "eval_coding_num_tokens": 20124436.0, "eval_coding_runtime": 80.8023, "eval_coding_samples_per_second": 6.188, "eval_coding_steps_per_second": 3.094, "step": 1500 }, { "epoch": 1.33472430868525, "eval_chemistry_entropy": 1.099737853527069, "eval_chemistry_loss": 1.11974036693573, "eval_chemistry_mean_token_accuracy": 0.7246058889627457, "eval_chemistry_num_tokens": 20124436.0, "eval_chemistry_runtime": 44.0197, "eval_chemistry_samples_per_second": 11.359, "eval_chemistry_steps_per_second": 5.679, "step": 1500 }, { "entropy": 1.0875422598794102, "epoch": 1.3436265509375174, "grad_norm": 6.75, "learning_rate": 1.886888888888889e-05, "loss": 1.0491, "mean_token_accuracy": 0.7286154057830572, "num_tokens": 20256101.0, "step": 1510 }, { "entropy": 1.0377698469907046, "epoch": 1.3525287931897847, "grad_norm": 6.84375, "learning_rate": 1.884666666666667e-05, "loss": 1.0071, "mean_token_accuracy": 0.7385351993143559, "num_tokens": 20388027.0, "step": 1520 }, { "entropy": 1.04939345382154, "epoch": 1.361431035442052, "grad_norm": 6.4375, "learning_rate": 1.8824444444444445e-05, "loss": 0.9965, "mean_token_accuracy": 0.7372564105316997, "num_tokens": 20519030.0, "step": 1530 }, { "entropy": 1.0302043357864021, "epoch": 1.3703332776943191, "grad_norm": 6.375, "learning_rate": 1.8802222222222226e-05, "loss": 0.9984, "mean_token_accuracy": 0.7377668373286724, "num_tokens": 20656076.0, "step": 1540 }, { "entropy": 1.092260554805398, "epoch": 1.3792355199465867, "grad_norm": 6.4375, "learning_rate": 1.878e-05, "loss": 1.0758, "mean_token_accuracy": 0.7272779047489166, "num_tokens": 20781429.0, "step": 1550 }, { "entropy": 1.0867322444915772, "epoch": 1.3881377621988538, "grad_norm": 11.375, "learning_rate": 1.875777777777778e-05, "loss": 1.0343, "mean_token_accuracy": 0.7299443442374468, "num_tokens": 20911633.0, "step": 1560 }, { "entropy": 1.0433940727263689, "epoch": 1.397040004451121, "grad_norm": 7.125, "learning_rate": 1.873555555555556e-05, "loss": 1.0004, "mean_token_accuracy": 0.7396705735474824, "num_tokens": 21044481.0, "step": 1570 }, { "entropy": 1.073896124958992, "epoch": 1.4059422467033884, "grad_norm": 6.5625, "learning_rate": 1.8713333333333336e-05, "loss": 1.0542, "mean_token_accuracy": 0.7299106653779746, "num_tokens": 21176227.0, "step": 1580 }, { "entropy": 1.054144686087966, "epoch": 1.4148444889556557, "grad_norm": 5.875, "learning_rate": 1.8691111111111114e-05, "loss": 1.008, "mean_token_accuracy": 0.736966310814023, "num_tokens": 21308809.0, "step": 1590 }, { "entropy": 1.0131638515740633, "epoch": 1.423746731207923, "grad_norm": 6.09375, "learning_rate": 1.866888888888889e-05, "loss": 0.9884, "mean_token_accuracy": 0.7402045801281929, "num_tokens": 21445242.0, "step": 1600 }, { "epoch": 1.423746731207923, "eval_coding_entropy": 1.7055041899681092, "eval_coding_loss": 2.283527374267578, "eval_coding_mean_token_accuracy": 0.5110386753082276, "eval_coding_num_tokens": 21445242.0, "eval_coding_runtime": 80.8292, "eval_coding_samples_per_second": 6.186, "eval_coding_steps_per_second": 3.093, "step": 1600 }, { "epoch": 1.423746731207923, "eval_chemistry_entropy": 1.0189639842510223, "eval_chemistry_loss": 1.0948059558868408, "eval_chemistry_mean_token_accuracy": 0.7295370472669601, "eval_chemistry_num_tokens": 21445242.0, "eval_chemistry_runtime": 44.4303, "eval_chemistry_samples_per_second": 11.254, "eval_chemistry_steps_per_second": 5.627, "step": 1600 }, { "entropy": 1.0424250226467848, "epoch": 1.4326489734601902, "grad_norm": 6.0, "learning_rate": 1.864666666666667e-05, "loss": 1.0037, "mean_token_accuracy": 0.738079284876585, "num_tokens": 21580828.0, "step": 1610 }, { "entropy": 1.0000621777027845, "epoch": 1.4415512157124577, "grad_norm": 6.71875, "learning_rate": 1.8624444444444446e-05, "loss": 0.9756, "mean_token_accuracy": 0.7446792133152484, "num_tokens": 21718455.0, "step": 1620 }, { "entropy": 1.0381389891728758, "epoch": 1.4504534579647248, "grad_norm": 5.59375, "learning_rate": 1.8602222222222224e-05, "loss": 0.9908, "mean_token_accuracy": 0.7371132237836718, "num_tokens": 21843858.0, "step": 1630 }, { "entropy": 1.0006099876016379, "epoch": 1.4593557002169921, "grad_norm": 5.8125, "learning_rate": 1.858e-05, "loss": 0.9719, "mean_token_accuracy": 0.7490028616040945, "num_tokens": 21974076.0, "step": 1640 }, { "entropy": 1.0176434211432934, "epoch": 1.4682579424692594, "grad_norm": 8.0, "learning_rate": 1.855777777777778e-05, "loss": 0.988, "mean_token_accuracy": 0.7422546174377203, "num_tokens": 22105208.0, "step": 1650 }, { "entropy": 1.051332799717784, "epoch": 1.4771601847215268, "grad_norm": 5.9375, "learning_rate": 1.8535555555555557e-05, "loss": 1.0022, "mean_token_accuracy": 0.7370473204180599, "num_tokens": 22241599.0, "step": 1660 }, { "entropy": 1.047087043710053, "epoch": 1.486062426973794, "grad_norm": 7.40625, "learning_rate": 1.8513333333333335e-05, "loss": 1.0112, "mean_token_accuracy": 0.7353191252797842, "num_tokens": 22376331.0, "step": 1670 }, { "entropy": 0.998528147302568, "epoch": 1.4949646692260612, "grad_norm": 6.6875, "learning_rate": 1.8491111111111112e-05, "loss": 0.962, "mean_token_accuracy": 0.7432398173958064, "num_tokens": 22510725.0, "step": 1680 }, { "entropy": 1.0193962009623647, "epoch": 1.5038669114783287, "grad_norm": 6.71875, "learning_rate": 1.846888888888889e-05, "loss": 0.9954, "mean_token_accuracy": 0.7430227894335986, "num_tokens": 22647287.0, "step": 1690 }, { "entropy": 0.9964680068194867, "epoch": 1.5127691537305958, "grad_norm": 5.65625, "learning_rate": 1.8446666666666667e-05, "loss": 0.9422, "mean_token_accuracy": 0.7483414333313704, "num_tokens": 22778514.0, "step": 1700 }, { "epoch": 1.5127691537305958, "eval_coding_entropy": 1.7789310560226441, "eval_coding_loss": 2.2901668548583984, "eval_coding_mean_token_accuracy": 0.5082898802757263, "eval_coding_num_tokens": 22778514.0, "eval_coding_runtime": 80.8117, "eval_coding_samples_per_second": 6.187, "eval_coding_steps_per_second": 3.094, "step": 1700 }, { "epoch": 1.5127691537305958, "eval_chemistry_entropy": 1.0228302110433578, "eval_chemistry_loss": 1.0728719234466553, "eval_chemistry_mean_token_accuracy": 0.7340625635385514, "eval_chemistry_num_tokens": 22778514.0, "eval_chemistry_runtime": 44.3932, "eval_chemistry_samples_per_second": 11.263, "eval_chemistry_steps_per_second": 5.631, "step": 1700 }, { "entropy": 1.018488030694425, "epoch": 1.5216713959828632, "grad_norm": 5.96875, "learning_rate": 1.842444444444445e-05, "loss": 0.9724, "mean_token_accuracy": 0.741841921582818, "num_tokens": 22913183.0, "step": 1710 }, { "entropy": 0.9667788481339812, "epoch": 1.5305736382351305, "grad_norm": 6.34375, "learning_rate": 1.8402222222222223e-05, "loss": 0.927, "mean_token_accuracy": 0.7500551588833332, "num_tokens": 23051230.0, "step": 1720 }, { "entropy": 1.0106308363378047, "epoch": 1.5394758804873978, "grad_norm": 6.125, "learning_rate": 1.8380000000000004e-05, "loss": 0.9704, "mean_token_accuracy": 0.7423111679032445, "num_tokens": 23179208.0, "step": 1730 }, { "entropy": 1.0059592995792628, "epoch": 1.5483781227396651, "grad_norm": 5.84375, "learning_rate": 1.8357777777777778e-05, "loss": 0.9573, "mean_token_accuracy": 0.7479906413704157, "num_tokens": 23306327.0, "step": 1740 }, { "entropy": 0.9837975237518549, "epoch": 1.5572803649919322, "grad_norm": 6.125, "learning_rate": 1.833555555555556e-05, "loss": 0.9434, "mean_token_accuracy": 0.7474345922470093, "num_tokens": 23435151.0, "step": 1750 }, { "entropy": 1.0287323439493776, "epoch": 1.5661826072441998, "grad_norm": 5.96875, "learning_rate": 1.8313333333333333e-05, "loss": 0.9897, "mean_token_accuracy": 0.7407072335481644, "num_tokens": 23573127.0, "step": 1760 }, { "entropy": 1.0248231099918486, "epoch": 1.5750848494964669, "grad_norm": 5.28125, "learning_rate": 1.8291111111111114e-05, "loss": 0.9815, "mean_token_accuracy": 0.7394947454333305, "num_tokens": 23704824.0, "step": 1770 }, { "entropy": 0.9785062935203314, "epoch": 1.5839870917487342, "grad_norm": 5.78125, "learning_rate": 1.8268888888888888e-05, "loss": 0.9392, "mean_token_accuracy": 0.7487792737782002, "num_tokens": 23841914.0, "step": 1780 }, { "entropy": 0.9828181255608797, "epoch": 1.5928893340010015, "grad_norm": 5.0625, "learning_rate": 1.824666666666667e-05, "loss": 0.9569, "mean_token_accuracy": 0.7477491162717342, "num_tokens": 23976648.0, "step": 1790 }, { "entropy": 1.0069462068378925, "epoch": 1.6017915762532688, "grad_norm": 6.75, "learning_rate": 1.8224444444444447e-05, "loss": 0.9675, "mean_token_accuracy": 0.7469035653397441, "num_tokens": 24105114.0, "step": 1800 }, { "epoch": 1.6017915762532688, "eval_coding_entropy": 1.7382126560211182, "eval_coding_loss": 2.2909605503082275, "eval_coding_mean_token_accuracy": 0.5080101939439774, "eval_coding_num_tokens": 24105114.0, "eval_coding_runtime": 80.8719, "eval_coding_samples_per_second": 6.183, "eval_coding_steps_per_second": 3.091, "step": 1800 }, { "epoch": 1.6017915762532688, "eval_chemistry_entropy": 1.03293852186203, "eval_chemistry_loss": 1.056942343711853, "eval_chemistry_mean_token_accuracy": 0.7363584907054901, "eval_chemistry_num_tokens": 24105114.0, "eval_chemistry_runtime": 44.5514, "eval_chemistry_samples_per_second": 11.223, "eval_chemistry_steps_per_second": 5.611, "step": 1800 }, { "entropy": 0.9643349962309002, "epoch": 1.6106938185055362, "grad_norm": 4.59375, "learning_rate": 1.8202222222222225e-05, "loss": 0.9435, "mean_token_accuracy": 0.7507723122835159, "num_tokens": 24242945.0, "step": 1810 }, { "entropy": 0.9434997234493494, "epoch": 1.6195960607578033, "grad_norm": 6.40625, "learning_rate": 1.8180000000000002e-05, "loss": 0.9229, "mean_token_accuracy": 0.7551070984452963, "num_tokens": 24384008.0, "step": 1820 }, { "entropy": 1.0243266159668565, "epoch": 1.6284983030100708, "grad_norm": 5.96875, "learning_rate": 1.815777777777778e-05, "loss": 0.987, "mean_token_accuracy": 0.7420570751652121, "num_tokens": 24510350.0, "step": 1830 }, { "entropy": 0.959172617085278, "epoch": 1.637400545262338, "grad_norm": 6.84375, "learning_rate": 1.8135555555555557e-05, "loss": 0.9155, "mean_token_accuracy": 0.7518640130758285, "num_tokens": 24638205.0, "step": 1840 }, { "entropy": 0.9474278407171368, "epoch": 1.6463027875146052, "grad_norm": 5.53125, "learning_rate": 1.8113333333333335e-05, "loss": 0.8923, "mean_token_accuracy": 0.7558273140341043, "num_tokens": 24773805.0, "step": 1850 }, { "entropy": 0.9222735103219748, "epoch": 1.6552050297668726, "grad_norm": 6.03125, "learning_rate": 1.8091111111111113e-05, "loss": 0.8927, "mean_token_accuracy": 0.7610101442784071, "num_tokens": 24910104.0, "step": 1860 }, { "entropy": 0.9674294136464596, "epoch": 1.6641072720191397, "grad_norm": 5.46875, "learning_rate": 1.806888888888889e-05, "loss": 0.9182, "mean_token_accuracy": 0.7508355010300874, "num_tokens": 25047786.0, "step": 1870 }, { "entropy": 0.9484452249482274, "epoch": 1.6730095142714072, "grad_norm": 5.125, "learning_rate": 1.8046666666666668e-05, "loss": 0.9237, "mean_token_accuracy": 0.7539303492754698, "num_tokens": 25181306.0, "step": 1880 }, { "entropy": 1.0244407325983047, "epoch": 1.6819117565236743, "grad_norm": 6.09375, "learning_rate": 1.8024444444444445e-05, "loss": 0.9899, "mean_token_accuracy": 0.7406658142805099, "num_tokens": 25313859.0, "step": 1890 }, { "entropy": 0.89578603412956, "epoch": 1.6908139987759419, "grad_norm": 5.625, "learning_rate": 1.8002222222222223e-05, "loss": 0.8741, "mean_token_accuracy": 0.7654941972345114, "num_tokens": 25449138.0, "step": 1900 }, { "epoch": 1.6908139987759419, "eval_coding_entropy": 1.7772144932746887, "eval_coding_loss": 2.3101391792297363, "eval_coding_mean_token_accuracy": 0.507433453321457, "eval_coding_num_tokens": 25449138.0, "eval_coding_runtime": 80.6897, "eval_coding_samples_per_second": 6.197, "eval_coding_steps_per_second": 3.098, "step": 1900 }, { "epoch": 1.6908139987759419, "eval_chemistry_entropy": 1.0048357552289964, "eval_chemistry_loss": 1.0314446687698364, "eval_chemistry_mean_token_accuracy": 0.7415237789154052, "eval_chemistry_num_tokens": 25449138.0, "eval_chemistry_runtime": 44.3145, "eval_chemistry_samples_per_second": 11.283, "eval_chemistry_steps_per_second": 5.641, "step": 1900 }, { "entropy": 0.9545569067820907, "epoch": 1.699716241028209, "grad_norm": 6.125, "learning_rate": 1.798e-05, "loss": 0.9039, "mean_token_accuracy": 0.7564696136862039, "num_tokens": 25583745.0, "step": 1910 }, { "entropy": 0.9878080926835537, "epoch": 1.7086184832804763, "grad_norm": 7.25, "learning_rate": 1.7957777777777778e-05, "loss": 0.9657, "mean_token_accuracy": 0.7482136309146881, "num_tokens": 25709030.0, "step": 1920 }, { "entropy": 1.0241941774263978, "epoch": 1.7175207255327436, "grad_norm": 4.8125, "learning_rate": 1.7935555555555556e-05, "loss": 0.9613, "mean_token_accuracy": 0.7427621867507697, "num_tokens": 25842094.0, "step": 1930 }, { "entropy": 0.969705024920404, "epoch": 1.7264229677850107, "grad_norm": 5.28125, "learning_rate": 1.7913333333333337e-05, "loss": 0.9264, "mean_token_accuracy": 0.748832119628787, "num_tokens": 25972807.0, "step": 1940 }, { "entropy": 0.9519479189068079, "epoch": 1.7353252100372782, "grad_norm": 5.3125, "learning_rate": 1.789111111111111e-05, "loss": 0.9243, "mean_token_accuracy": 0.7541633494198322, "num_tokens": 26111702.0, "step": 1950 }, { "entropy": 0.9655054366216064, "epoch": 1.7442274522895453, "grad_norm": 5.75, "learning_rate": 1.7868888888888892e-05, "loss": 0.9167, "mean_token_accuracy": 0.7538340780884027, "num_tokens": 26244955.0, "step": 1960 }, { "entropy": 0.9491505783051253, "epoch": 1.7531296945418127, "grad_norm": 5.4375, "learning_rate": 1.7846666666666666e-05, "loss": 0.9042, "mean_token_accuracy": 0.7555052500218153, "num_tokens": 26383177.0, "step": 1970 }, { "entropy": 0.876483421958983, "epoch": 1.76203193679408, "grad_norm": 5.15625, "learning_rate": 1.7824444444444447e-05, "loss": 0.8621, "mean_token_accuracy": 0.768435088545084, "num_tokens": 26515548.0, "step": 1980 }, { "entropy": 0.9604039745405316, "epoch": 1.7709341790463473, "grad_norm": 4.75, "learning_rate": 1.780222222222222e-05, "loss": 0.9117, "mean_token_accuracy": 0.7546427011489868, "num_tokens": 26652194.0, "step": 1990 }, { "entropy": 0.944821952097118, "epoch": 1.7798364212986146, "grad_norm": 5.09375, "learning_rate": 1.7780000000000003e-05, "loss": 0.9035, "mean_token_accuracy": 0.7559604255482555, "num_tokens": 26782376.0, "step": 2000 }, { "epoch": 1.7798364212986146, "eval_coding_entropy": 1.712769726753235, "eval_coding_loss": 2.3114633560180664, "eval_coding_mean_token_accuracy": 0.5093689965009689, "eval_coding_num_tokens": 26782376.0, "eval_coding_runtime": 80.6697, "eval_coding_samples_per_second": 6.198, "eval_coding_steps_per_second": 3.099, "step": 2000 }, { "epoch": 1.7798364212986146, "eval_chemistry_entropy": 0.9783082293272019, "eval_chemistry_loss": 1.0181097984313965, "eval_chemistry_mean_token_accuracy": 0.7442418551445007, "eval_chemistry_num_tokens": 26782376.0, "eval_chemistry_runtime": 44.0501, "eval_chemistry_samples_per_second": 11.351, "eval_chemistry_steps_per_second": 5.675, "step": 2000 }, { "entropy": 0.9411061625927687, "epoch": 1.7887386635508817, "grad_norm": 5.84375, "learning_rate": 1.7757777777777777e-05, "loss": 0.9013, "mean_token_accuracy": 0.7582196421921253, "num_tokens": 26913674.0, "step": 2010 }, { "entropy": 0.9466140553355217, "epoch": 1.7976409058031493, "grad_norm": 4.6875, "learning_rate": 1.7735555555555558e-05, "loss": 0.9284, "mean_token_accuracy": 0.7540723484009504, "num_tokens": 27049648.0, "step": 2020 }, { "entropy": 0.9803621105849742, "epoch": 1.8065431480554164, "grad_norm": 5.15625, "learning_rate": 1.7713333333333335e-05, "loss": 0.9306, "mean_token_accuracy": 0.7513340801000595, "num_tokens": 27179178.0, "step": 2030 }, { "entropy": 0.9712000517174602, "epoch": 1.8154453903076837, "grad_norm": 5.9375, "learning_rate": 1.7691111111111113e-05, "loss": 0.9478, "mean_token_accuracy": 0.752249525859952, "num_tokens": 27315061.0, "step": 2040 }, { "entropy": 0.9317782137542963, "epoch": 1.824347632559951, "grad_norm": 5.28125, "learning_rate": 1.766888888888889e-05, "loss": 0.8958, "mean_token_accuracy": 0.7610440488904715, "num_tokens": 27451473.0, "step": 2050 }, { "entropy": 0.9378326464444399, "epoch": 1.8332498748122183, "grad_norm": 5.71875, "learning_rate": 1.7646666666666668e-05, "loss": 0.8917, "mean_token_accuracy": 0.7592362996190787, "num_tokens": 27587650.0, "step": 2060 }, { "entropy": 0.9810647163540125, "epoch": 1.8421521170644857, "grad_norm": 5.375, "learning_rate": 1.7624444444444446e-05, "loss": 0.9384, "mean_token_accuracy": 0.749565614387393, "num_tokens": 27718059.0, "step": 2070 }, { "entropy": 0.9164110349491239, "epoch": 1.8510543593167528, "grad_norm": 5.0625, "learning_rate": 1.7602222222222223e-05, "loss": 0.8921, "mean_token_accuracy": 0.7612464178353548, "num_tokens": 27855458.0, "step": 2080 }, { "entropy": 0.983701690286398, "epoch": 1.8599566015690203, "grad_norm": 5.84375, "learning_rate": 1.758e-05, "loss": 0.93, "mean_token_accuracy": 0.7531817588955164, "num_tokens": 27989381.0, "step": 2090 }, { "entropy": 0.916964913904667, "epoch": 1.8688588438212874, "grad_norm": 5.625, "learning_rate": 1.755777777777778e-05, "loss": 0.885, "mean_token_accuracy": 0.7609612088650465, "num_tokens": 28127703.0, "step": 2100 }, { "epoch": 1.8688588438212874, "eval_coding_entropy": 1.7431006593704224, "eval_coding_loss": 2.2912614345550537, "eval_coding_mean_token_accuracy": 0.5093610838651658, "eval_coding_num_tokens": 28127703.0, "eval_coding_runtime": 80.8352, "eval_coding_samples_per_second": 6.185, "eval_coding_steps_per_second": 3.093, "step": 2100 }, { "epoch": 1.8688588438212874, "eval_chemistry_entropy": 0.9440541378259659, "eval_chemistry_loss": 1.0031005144119263, "eval_chemistry_mean_token_accuracy": 0.7476753370761872, "eval_chemistry_num_tokens": 28127703.0, "eval_chemistry_runtime": 44.4802, "eval_chemistry_samples_per_second": 11.241, "eval_chemistry_steps_per_second": 5.62, "step": 2100 }, { "entropy": 0.9171810772269964, "epoch": 1.8777610860735547, "grad_norm": 5.0625, "learning_rate": 1.7535555555555556e-05, "loss": 0.8602, "mean_token_accuracy": 0.7633361782878637, "num_tokens": 28261081.0, "step": 2110 }, { "entropy": 0.8876332893967629, "epoch": 1.886663328325822, "grad_norm": 4.875, "learning_rate": 1.7513333333333334e-05, "loss": 0.8625, "mean_token_accuracy": 0.767698946967721, "num_tokens": 28395128.0, "step": 2120 }, { "entropy": 0.926989870518446, "epoch": 1.8955655705780894, "grad_norm": 5.21875, "learning_rate": 1.749111111111111e-05, "loss": 0.8888, "mean_token_accuracy": 0.7574160646647214, "num_tokens": 28526017.0, "step": 2130 }, { "entropy": 0.9683940343558788, "epoch": 1.9044678128303567, "grad_norm": 5.4375, "learning_rate": 1.746888888888889e-05, "loss": 0.905, "mean_token_accuracy": 0.7561913870275021, "num_tokens": 28662344.0, "step": 2140 }, { "entropy": 0.8912612002342939, "epoch": 1.9133700550826238, "grad_norm": 5.5625, "learning_rate": 1.7446666666666667e-05, "loss": 0.866, "mean_token_accuracy": 0.7663097100332379, "num_tokens": 28798041.0, "step": 2150 }, { "entropy": 0.9882675973698497, "epoch": 1.9222722973348914, "grad_norm": 5.4375, "learning_rate": 1.7424444444444444e-05, "loss": 0.9295, "mean_token_accuracy": 0.7492683254182338, "num_tokens": 28928769.0, "step": 2160 }, { "entropy": 0.9113500153645873, "epoch": 1.9311745395871585, "grad_norm": 5.53125, "learning_rate": 1.7402222222222222e-05, "loss": 0.8739, "mean_token_accuracy": 0.7638713479042053, "num_tokens": 29058479.0, "step": 2170 }, { "entropy": 0.9551330221816897, "epoch": 1.9400767818394258, "grad_norm": 5.125, "learning_rate": 1.7380000000000003e-05, "loss": 0.916, "mean_token_accuracy": 0.7549599496647715, "num_tokens": 29186214.0, "step": 2180 }, { "entropy": 0.9826798997819424, "epoch": 1.948979024091693, "grad_norm": 5.65625, "learning_rate": 1.735777777777778e-05, "loss": 0.9479, "mean_token_accuracy": 0.7481921702623368, "num_tokens": 29311083.0, "step": 2190 }, { "entropy": 0.9114339074119926, "epoch": 1.9578812663439604, "grad_norm": 5.71875, "learning_rate": 1.7335555555555558e-05, "loss": 0.8971, "mean_token_accuracy": 0.7607169698923826, "num_tokens": 29446445.0, "step": 2200 }, { "epoch": 1.9578812663439604, "eval_coding_entropy": 1.758779797077179, "eval_coding_loss": 2.3063414096832275, "eval_coding_mean_token_accuracy": 0.5077208431959153, "eval_coding_num_tokens": 29446445.0, "eval_coding_runtime": 80.7301, "eval_coding_samples_per_second": 6.193, "eval_coding_steps_per_second": 3.097, "step": 2200 }, { "epoch": 1.9578812663439604, "eval_chemistry_entropy": 0.9747029945850373, "eval_chemistry_loss": 0.9925632476806641, "eval_chemistry_mean_token_accuracy": 0.7497075235843659, "eval_chemistry_num_tokens": 29446445.0, "eval_chemistry_runtime": 44.3289, "eval_chemistry_samples_per_second": 11.279, "eval_chemistry_steps_per_second": 5.64, "step": 2200 }, { "entropy": 0.9837614057585597, "epoch": 1.9667835085962277, "grad_norm": 5.0625, "learning_rate": 1.7313333333333336e-05, "loss": 0.9202, "mean_token_accuracy": 0.7511004183441401, "num_tokens": 29577117.0, "step": 2210 }, { "entropy": 0.8847709085792304, "epoch": 1.9756857508484948, "grad_norm": 5.53125, "learning_rate": 1.7291111111111113e-05, "loss": 0.8448, "mean_token_accuracy": 0.7678694428876043, "num_tokens": 29711771.0, "step": 2220 }, { "entropy": 0.9394596133381128, "epoch": 1.9845879931007624, "grad_norm": 4.6875, "learning_rate": 1.726888888888889e-05, "loss": 0.8788, "mean_token_accuracy": 0.7633742790669202, "num_tokens": 29846056.0, "step": 2230 }, { "entropy": 0.9131581572815776, "epoch": 1.9934902353530295, "grad_norm": 5.46875, "learning_rate": 1.724666666666667e-05, "loss": 0.8999, "mean_token_accuracy": 0.7595547553151846, "num_tokens": 29979994.0, "step": 2240 }, { "entropy": 0.9380778378288218, "epoch": 2.0017804484504533, "grad_norm": 5.96875, "learning_rate": 1.7224444444444446e-05, "loss": 0.8632, "mean_token_accuracy": 0.7650105865209694, "num_tokens": 30104339.0, "step": 2250 }, { "entropy": 0.6751446353271604, "epoch": 2.010682690702721, "grad_norm": 5.34375, "learning_rate": 1.7202222222222224e-05, "loss": 0.6607, "mean_token_accuracy": 0.8066760376095772, "num_tokens": 30240793.0, "step": 2260 }, { "entropy": 0.7322767108678818, "epoch": 2.019584932954988, "grad_norm": 4.3125, "learning_rate": 1.718e-05, "loss": 0.671, "mean_token_accuracy": 0.8030222978442907, "num_tokens": 30374084.0, "step": 2270 }, { "entropy": 0.6310971546918154, "epoch": 2.0284871752072555, "grad_norm": 5.5625, "learning_rate": 1.715777777777778e-05, "loss": 0.6053, "mean_token_accuracy": 0.8167277801781893, "num_tokens": 30503988.0, "step": 2280 }, { "entropy": 0.7133538842201232, "epoch": 2.0373894174595226, "grad_norm": 5.28125, "learning_rate": 1.7135555555555557e-05, "loss": 0.6663, "mean_token_accuracy": 0.8047899607568979, "num_tokens": 30639178.0, "step": 2290 }, { "entropy": 0.673244996368885, "epoch": 2.0462916597117897, "grad_norm": 5.15625, "learning_rate": 1.7113333333333334e-05, "loss": 0.624, "mean_token_accuracy": 0.8107521183788776, "num_tokens": 30771841.0, "step": 2300 }, { "epoch": 2.0462916597117897, "eval_coding_entropy": 1.3595808396339417, "eval_coding_loss": 2.503028392791748, "eval_coding_mean_token_accuracy": 0.5042585589885712, "eval_coding_num_tokens": 30771841.0, "eval_coding_runtime": 80.7845, "eval_coding_samples_per_second": 6.189, "eval_coding_steps_per_second": 3.095, "step": 2300 }, { "epoch": 2.0462916597117897, "eval_chemistry_entropy": 0.7220290039777756, "eval_chemistry_loss": 1.044023871421814, "eval_chemistry_mean_token_accuracy": 0.7492555620670318, "eval_chemistry_num_tokens": 30771841.0, "eval_chemistry_runtime": 44.4082, "eval_chemistry_samples_per_second": 11.259, "eval_chemistry_steps_per_second": 5.63, "step": 2300 }, { "entropy": 0.650447968672961, "epoch": 2.0551939019640573, "grad_norm": 4.84375, "learning_rate": 1.7091111111111112e-05, "loss": 0.6149, "mean_token_accuracy": 0.8162594970315695, "num_tokens": 30911385.0, "step": 2310 }, { "entropy": 0.6901814254000783, "epoch": 2.0640961442163244, "grad_norm": 5.65625, "learning_rate": 1.706888888888889e-05, "loss": 0.6577, "mean_token_accuracy": 0.807989289984107, "num_tokens": 31045037.0, "step": 2320 }, { "entropy": 0.7224311189725995, "epoch": 2.072998386468592, "grad_norm": 5.8125, "learning_rate": 1.704666666666667e-05, "loss": 0.6841, "mean_token_accuracy": 0.7975382342934608, "num_tokens": 31171463.0, "step": 2330 }, { "entropy": 0.7207206780090928, "epoch": 2.081900628720859, "grad_norm": 5.59375, "learning_rate": 1.7024444444444445e-05, "loss": 0.6787, "mean_token_accuracy": 0.8005865413695574, "num_tokens": 31299575.0, "step": 2340 }, { "entropy": 0.7077139405533671, "epoch": 2.0908028709731266, "grad_norm": 5.75, "learning_rate": 1.7002222222222226e-05, "loss": 0.6649, "mean_token_accuracy": 0.8006750706583261, "num_tokens": 31433410.0, "step": 2350 }, { "entropy": 0.7052157809957862, "epoch": 2.0997051132253937, "grad_norm": 5.96875, "learning_rate": 1.698e-05, "loss": 0.6952, "mean_token_accuracy": 0.7997228655964136, "num_tokens": 31565963.0, "step": 2360 }, { "entropy": 0.6745271515101194, "epoch": 2.1086073554776608, "grad_norm": 5.46875, "learning_rate": 1.695777777777778e-05, "loss": 0.6383, "mean_token_accuracy": 0.813958278298378, "num_tokens": 31700651.0, "step": 2370 }, { "entropy": 0.681758170388639, "epoch": 2.1175095977299283, "grad_norm": 5.59375, "learning_rate": 1.6935555555555555e-05, "loss": 0.6577, "mean_token_accuracy": 0.8078952629119158, "num_tokens": 31834212.0, "step": 2380 }, { "entropy": 0.6909406213089824, "epoch": 2.1264118399821954, "grad_norm": 5.125, "learning_rate": 1.6913333333333336e-05, "loss": 0.6573, "mean_token_accuracy": 0.8060090221464634, "num_tokens": 31973291.0, "step": 2390 }, { "entropy": 0.7074554307386279, "epoch": 2.135314082234463, "grad_norm": 5.5, "learning_rate": 1.689111111111111e-05, "loss": 0.6642, "mean_token_accuracy": 0.8029129397124052, "num_tokens": 32103356.0, "step": 2400 }, { "epoch": 2.135314082234463, "eval_coding_entropy": 1.3474301302433014, "eval_coding_loss": 2.5246565341949463, "eval_coding_mean_token_accuracy": 0.5042781318426133, "eval_coding_num_tokens": 32103356.0, "eval_coding_runtime": 80.7668, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.095, "step": 2400 }, { "epoch": 2.135314082234463, "eval_chemistry_entropy": 0.7277124656438827, "eval_chemistry_loss": 1.0443603992462158, "eval_chemistry_mean_token_accuracy": 0.7491718275547028, "eval_chemistry_num_tokens": 32103356.0, "eval_chemistry_runtime": 44.6557, "eval_chemistry_samples_per_second": 11.197, "eval_chemistry_steps_per_second": 5.598, "step": 2400 }, { "entropy": 0.7237576061859727, "epoch": 2.14421632448673, "grad_norm": 5.28125, "learning_rate": 1.686888888888889e-05, "loss": 0.6829, "mean_token_accuracy": 0.8009689141064882, "num_tokens": 32238918.0, "step": 2410 }, { "entropy": 0.6664205349981784, "epoch": 2.153118566738997, "grad_norm": 5.28125, "learning_rate": 1.684666666666667e-05, "loss": 0.6276, "mean_token_accuracy": 0.8129349954426288, "num_tokens": 32374830.0, "step": 2420 }, { "entropy": 0.6417453872039914, "epoch": 2.1620208089912647, "grad_norm": 5.59375, "learning_rate": 1.6824444444444447e-05, "loss": 0.6145, "mean_token_accuracy": 0.8182108178734779, "num_tokens": 32510032.0, "step": 2430 }, { "entropy": 0.6808106200769544, "epoch": 2.170923051243532, "grad_norm": 5.34375, "learning_rate": 1.6802222222222224e-05, "loss": 0.6513, "mean_token_accuracy": 0.8094353195279836, "num_tokens": 32643479.0, "step": 2440 }, { "entropy": 0.67868527546525, "epoch": 2.1798252934957993, "grad_norm": 5.03125, "learning_rate": 1.6780000000000002e-05, "loss": 0.6431, "mean_token_accuracy": 0.8081219315528869, "num_tokens": 32776239.0, "step": 2450 }, { "entropy": 0.6879025629721582, "epoch": 2.1887275357480664, "grad_norm": 4.9375, "learning_rate": 1.675777777777778e-05, "loss": 0.6155, "mean_token_accuracy": 0.8085521880537272, "num_tokens": 32908761.0, "step": 2460 }, { "entropy": 0.7213755307719112, "epoch": 2.197629778000334, "grad_norm": 5.15625, "learning_rate": 1.6735555555555557e-05, "loss": 0.6681, "mean_token_accuracy": 0.8011581059545279, "num_tokens": 33030976.0, "step": 2470 }, { "entropy": 0.6821736327372492, "epoch": 2.206532020252601, "grad_norm": 5.15625, "learning_rate": 1.6713333333333335e-05, "loss": 0.6526, "mean_token_accuracy": 0.8078901413828135, "num_tokens": 33166413.0, "step": 2480 }, { "entropy": 0.6923310263082385, "epoch": 2.2154342625048686, "grad_norm": 5.9375, "learning_rate": 1.6691111111111112e-05, "loss": 0.6706, "mean_token_accuracy": 0.8054627288132906, "num_tokens": 33297834.0, "step": 2490 }, { "entropy": 0.6578195100650192, "epoch": 2.2243365047571357, "grad_norm": 4.875, "learning_rate": 1.666888888888889e-05, "loss": 0.6292, "mean_token_accuracy": 0.8126751393079757, "num_tokens": 33432686.0, "step": 2500 }, { "epoch": 2.2243365047571357, "eval_coding_entropy": 1.359846888065338, "eval_coding_loss": 2.5393831729888916, "eval_coding_mean_token_accuracy": 0.5013983782529831, "eval_coding_num_tokens": 33432686.0, "eval_coding_runtime": 80.7592, "eval_coding_samples_per_second": 6.191, "eval_coding_steps_per_second": 3.096, "step": 2500 }, { "epoch": 2.2243365047571357, "eval_chemistry_entropy": 0.7504983623027801, "eval_chemistry_loss": 1.0311698913574219, "eval_chemistry_mean_token_accuracy": 0.7517331650257111, "eval_chemistry_num_tokens": 33432686.0, "eval_chemistry_runtime": 44.3538, "eval_chemistry_samples_per_second": 11.273, "eval_chemistry_steps_per_second": 5.636, "step": 2500 }, { "entropy": 0.7050275545567274, "epoch": 2.233238747009403, "grad_norm": 4.71875, "learning_rate": 1.6646666666666668e-05, "loss": 0.668, "mean_token_accuracy": 0.8031698003411293, "num_tokens": 33563511.0, "step": 2510 }, { "entropy": 0.6760105773806572, "epoch": 2.2421409892616704, "grad_norm": 5.53125, "learning_rate": 1.6624444444444445e-05, "loss": 0.6429, "mean_token_accuracy": 0.8107778910547495, "num_tokens": 33693242.0, "step": 2520 }, { "entropy": 0.6887492289766669, "epoch": 2.2510432315139375, "grad_norm": 5.78125, "learning_rate": 1.6602222222222223e-05, "loss": 0.6424, "mean_token_accuracy": 0.8106433190405369, "num_tokens": 33831513.0, "step": 2530 }, { "entropy": 0.6382455182261765, "epoch": 2.259945473766205, "grad_norm": 5.125, "learning_rate": 1.658e-05, "loss": 0.6039, "mean_token_accuracy": 0.8192764405161143, "num_tokens": 33970820.0, "step": 2540 }, { "entropy": 0.641087737120688, "epoch": 2.268847716018472, "grad_norm": 5.8125, "learning_rate": 1.6557777777777778e-05, "loss": 0.6166, "mean_token_accuracy": 0.8172270767390728, "num_tokens": 34107209.0, "step": 2550 }, { "entropy": 0.7278640048578382, "epoch": 2.2777499582707392, "grad_norm": 5.6875, "learning_rate": 1.6535555555555556e-05, "loss": 0.6825, "mean_token_accuracy": 0.7987151812762022, "num_tokens": 34243042.0, "step": 2560 }, { "entropy": 0.6859472109004855, "epoch": 2.2866522005230068, "grad_norm": 5.21875, "learning_rate": 1.6513333333333333e-05, "loss": 0.6676, "mean_token_accuracy": 0.8081459250301123, "num_tokens": 34378803.0, "step": 2570 }, { "entropy": 0.682016589678824, "epoch": 2.295554442775274, "grad_norm": 4.71875, "learning_rate": 1.6491111111111114e-05, "loss": 0.6406, "mean_token_accuracy": 0.8095824711024762, "num_tokens": 34515236.0, "step": 2580 }, { "entropy": 0.6486262887716293, "epoch": 2.3044566850275414, "grad_norm": 5.375, "learning_rate": 1.646888888888889e-05, "loss": 0.6183, "mean_token_accuracy": 0.8155608825385571, "num_tokens": 34647579.0, "step": 2590 }, { "entropy": 0.6554163221269846, "epoch": 2.3133589272798085, "grad_norm": 5.625, "learning_rate": 1.644666666666667e-05, "loss": 0.6139, "mean_token_accuracy": 0.8146194528788329, "num_tokens": 34785068.0, "step": 2600 }, { "epoch": 2.3133589272798085, "eval_coding_entropy": 1.341162795305252, "eval_coding_loss": 2.568235158920288, "eval_coding_mean_token_accuracy": 0.5024716736078262, "eval_coding_num_tokens": 34785068.0, "eval_coding_runtime": 80.9857, "eval_coding_samples_per_second": 6.174, "eval_coding_steps_per_second": 3.087, "step": 2600 }, { "epoch": 2.3133589272798085, "eval_chemistry_entropy": 0.7452526745796204, "eval_chemistry_loss": 1.027672290802002, "eval_chemistry_mean_token_accuracy": 0.7516778976917267, "eval_chemistry_num_tokens": 34785068.0, "eval_chemistry_runtime": 44.4616, "eval_chemistry_samples_per_second": 11.246, "eval_chemistry_steps_per_second": 5.623, "step": 2600 }, { "entropy": 0.7047396818175912, "epoch": 2.322261169532076, "grad_norm": 5.40625, "learning_rate": 1.6424444444444444e-05, "loss": 0.6632, "mean_token_accuracy": 0.8033771358430386, "num_tokens": 34919157.0, "step": 2610 }, { "entropy": 0.6924863770604134, "epoch": 2.331163411784343, "grad_norm": 4.90625, "learning_rate": 1.6402222222222225e-05, "loss": 0.6536, "mean_token_accuracy": 0.8057784728705883, "num_tokens": 35055845.0, "step": 2620 }, { "entropy": 0.6686609257012606, "epoch": 2.3400656540366107, "grad_norm": 5.3125, "learning_rate": 1.638e-05, "loss": 0.6401, "mean_token_accuracy": 0.8125207956880331, "num_tokens": 35188805.0, "step": 2630 }, { "entropy": 0.6943664757534862, "epoch": 2.348967896288878, "grad_norm": 5.40625, "learning_rate": 1.635777777777778e-05, "loss": 0.6548, "mean_token_accuracy": 0.8056631416082383, "num_tokens": 35327481.0, "step": 2640 }, { "entropy": 0.7098184963688254, "epoch": 2.357870138541145, "grad_norm": 5.3125, "learning_rate": 1.6335555555555558e-05, "loss": 0.679, "mean_token_accuracy": 0.8018865004181862, "num_tokens": 35459391.0, "step": 2650 }, { "entropy": 0.6859694801270961, "epoch": 2.3667723807934125, "grad_norm": 5.34375, "learning_rate": 1.6313333333333335e-05, "loss": 0.6556, "mean_token_accuracy": 0.8075915783643722, "num_tokens": 35596362.0, "step": 2660 }, { "entropy": 0.6629813998937607, "epoch": 2.3756746230456796, "grad_norm": 5.125, "learning_rate": 1.6291111111111113e-05, "loss": 0.6287, "mean_token_accuracy": 0.8144315045326949, "num_tokens": 35733119.0, "step": 2670 }, { "entropy": 0.6971998689696193, "epoch": 2.384576865297947, "grad_norm": 5.34375, "learning_rate": 1.626888888888889e-05, "loss": 0.6527, "mean_token_accuracy": 0.8070112053304911, "num_tokens": 35869585.0, "step": 2680 }, { "entropy": 0.6961546177044511, "epoch": 2.393479107550214, "grad_norm": 4.8125, "learning_rate": 1.6246666666666668e-05, "loss": 0.6466, "mean_token_accuracy": 0.8089884545654058, "num_tokens": 36000516.0, "step": 2690 }, { "entropy": 0.6580943001434207, "epoch": 2.4023813498024813, "grad_norm": 5.625, "learning_rate": 1.6224444444444446e-05, "loss": 0.6404, "mean_token_accuracy": 0.8133330389857292, "num_tokens": 36134072.0, "step": 2700 }, { "epoch": 2.4023813498024813, "eval_coding_entropy": 1.3438351492881775, "eval_coding_loss": 2.551229953765869, "eval_coding_mean_token_accuracy": 0.5017013101577759, "eval_coding_num_tokens": 36134072.0, "eval_coding_runtime": 80.8424, "eval_coding_samples_per_second": 6.185, "eval_coding_steps_per_second": 3.092, "step": 2700 }, { "epoch": 2.4023813498024813, "eval_chemistry_entropy": 0.7395072062015533, "eval_chemistry_loss": 1.0199018716812134, "eval_chemistry_mean_token_accuracy": 0.7541784026622772, "eval_chemistry_num_tokens": 36134072.0, "eval_chemistry_runtime": 44.3917, "eval_chemistry_samples_per_second": 11.263, "eval_chemistry_steps_per_second": 5.632, "step": 2700 }, { "entropy": 0.6819272680208087, "epoch": 2.411283592054749, "grad_norm": 5.34375, "learning_rate": 1.6202222222222223e-05, "loss": 0.6503, "mean_token_accuracy": 0.8103040024638176, "num_tokens": 36266582.0, "step": 2710 }, { "entropy": 0.6610682730562984, "epoch": 2.420185834307016, "grad_norm": 5.1875, "learning_rate": 1.618e-05, "loss": 0.644, "mean_token_accuracy": 0.8126811794936657, "num_tokens": 36406263.0, "step": 2720 }, { "entropy": 0.6747404722496867, "epoch": 2.4290880765592835, "grad_norm": 5.40625, "learning_rate": 1.615777777777778e-05, "loss": 0.6379, "mean_token_accuracy": 0.8103346832096576, "num_tokens": 36544353.0, "step": 2730 }, { "entropy": 0.6939026135951281, "epoch": 2.4379903188115506, "grad_norm": 6.125, "learning_rate": 1.6135555555555556e-05, "loss": 0.6479, "mean_token_accuracy": 0.8088636647909879, "num_tokens": 36676822.0, "step": 2740 }, { "entropy": 0.6915046261623502, "epoch": 2.446892561063818, "grad_norm": 5.21875, "learning_rate": 1.6113333333333334e-05, "loss": 0.6531, "mean_token_accuracy": 0.8075901720672846, "num_tokens": 36809542.0, "step": 2750 }, { "entropy": 0.6678896933794022, "epoch": 2.4557948033160852, "grad_norm": 5.875, "learning_rate": 1.609111111111111e-05, "loss": 0.634, "mean_token_accuracy": 0.8129198741167784, "num_tokens": 36942837.0, "step": 2760 }, { "entropy": 0.6581751000136137, "epoch": 2.4646970455683523, "grad_norm": 4.8125, "learning_rate": 1.606888888888889e-05, "loss": 0.6243, "mean_token_accuracy": 0.8144248973578214, "num_tokens": 37073852.0, "step": 2770 }, { "entropy": 0.6735358687117696, "epoch": 2.47359928782062, "grad_norm": 5.84375, "learning_rate": 1.6046666666666667e-05, "loss": 0.6561, "mean_token_accuracy": 0.8086125176399946, "num_tokens": 37210791.0, "step": 2780 }, { "entropy": 0.6608247993513942, "epoch": 2.482501530072887, "grad_norm": 5.1875, "learning_rate": 1.6024444444444444e-05, "loss": 0.6273, "mean_token_accuracy": 0.8159277431666851, "num_tokens": 37349906.0, "step": 2790 }, { "entropy": 0.6531393617391587, "epoch": 2.4914037723251545, "grad_norm": 5.59375, "learning_rate": 1.6002222222222222e-05, "loss": 0.6442, "mean_token_accuracy": 0.814842538163066, "num_tokens": 37485822.0, "step": 2800 }, { "epoch": 2.4914037723251545, "eval_coding_entropy": 1.3514180865287782, "eval_coding_loss": 2.535834550857544, "eval_coding_mean_token_accuracy": 0.5022077556848527, "eval_coding_num_tokens": 37485822.0, "eval_coding_runtime": 80.7305, "eval_coding_samples_per_second": 6.193, "eval_coding_steps_per_second": 3.097, "step": 2800 }, { "epoch": 2.4914037723251545, "eval_chemistry_entropy": 0.734144370675087, "eval_chemistry_loss": 1.0119251012802124, "eval_chemistry_mean_token_accuracy": 0.7545760450363159, "eval_chemistry_num_tokens": 37485822.0, "eval_chemistry_runtime": 44.3631, "eval_chemistry_samples_per_second": 11.271, "eval_chemistry_steps_per_second": 5.635, "step": 2800 }, { "entropy": 0.7091395361348987, "epoch": 2.5003060145774216, "grad_norm": 5.75, "learning_rate": 1.5980000000000003e-05, "loss": 0.6636, "mean_token_accuracy": 0.8052146650850773, "num_tokens": 37611329.0, "step": 2810 }, { "entropy": 0.6451047549024225, "epoch": 2.509208256829689, "grad_norm": 5.5625, "learning_rate": 1.5957777777777777e-05, "loss": 0.6169, "mean_token_accuracy": 0.8182801440358162, "num_tokens": 37746150.0, "step": 2820 }, { "entropy": 0.6536917492747307, "epoch": 2.5181104990819563, "grad_norm": 5.03125, "learning_rate": 1.5935555555555558e-05, "loss": 0.6318, "mean_token_accuracy": 0.8141068946570158, "num_tokens": 37876900.0, "step": 2830 }, { "entropy": 0.6732046099379658, "epoch": 2.5270127413342234, "grad_norm": 5.71875, "learning_rate": 1.5913333333333332e-05, "loss": 0.6423, "mean_token_accuracy": 0.8091734830290079, "num_tokens": 38016863.0, "step": 2840 }, { "entropy": 0.6968869367614389, "epoch": 2.535914983586491, "grad_norm": 5.90625, "learning_rate": 1.5891111111111113e-05, "loss": 0.6583, "mean_token_accuracy": 0.8065891288220882, "num_tokens": 38150165.0, "step": 2850 }, { "entropy": 0.6866594105958939, "epoch": 2.544817225838758, "grad_norm": 6.6875, "learning_rate": 1.5868888888888888e-05, "loss": 0.6418, "mean_token_accuracy": 0.8063335064798594, "num_tokens": 38277754.0, "step": 2860 }, { "entropy": 0.6670206711627543, "epoch": 2.5537194680910256, "grad_norm": 5.3125, "learning_rate": 1.584666666666667e-05, "loss": 0.6472, "mean_token_accuracy": 0.8101547524333, "num_tokens": 38412875.0, "step": 2870 }, { "entropy": 0.7017344998195767, "epoch": 2.5626217103432927, "grad_norm": 4.96875, "learning_rate": 1.5824444444444446e-05, "loss": 0.6731, "mean_token_accuracy": 0.808038018643856, "num_tokens": 38542761.0, "step": 2880 }, { "entropy": 0.6877943404018879, "epoch": 2.5715239525955598, "grad_norm": 5.875, "learning_rate": 1.5802222222222224e-05, "loss": 0.6576, "mean_token_accuracy": 0.8062680896371603, "num_tokens": 38681049.0, "step": 2890 }, { "entropy": 0.6650467852130533, "epoch": 2.5804261948478273, "grad_norm": 5.84375, "learning_rate": 1.578e-05, "loss": 0.6346, "mean_token_accuracy": 0.8112391501665115, "num_tokens": 38820999.0, "step": 2900 }, { "epoch": 2.5804261948478273, "eval_coding_entropy": 1.349726175546646, "eval_coding_loss": 2.5497632026672363, "eval_coding_mean_token_accuracy": 0.5023152486085892, "eval_coding_num_tokens": 38820999.0, "eval_coding_runtime": 80.8248, "eval_coding_samples_per_second": 6.186, "eval_coding_steps_per_second": 3.093, "step": 2900 }, { "epoch": 2.5804261948478273, "eval_chemistry_entropy": 0.730859316110611, "eval_chemistry_loss": 1.0118193626403809, "eval_chemistry_mean_token_accuracy": 0.7558274228572845, "eval_chemistry_num_tokens": 38820999.0, "eval_chemistry_runtime": 44.3858, "eval_chemistry_samples_per_second": 11.265, "eval_chemistry_steps_per_second": 5.632, "step": 2900 }, { "entropy": 0.6655731063336134, "epoch": 2.589328437100095, "grad_norm": 6.5, "learning_rate": 1.575777777777778e-05, "loss": 0.633, "mean_token_accuracy": 0.814475579187274, "num_tokens": 38947566.0, "step": 2910 }, { "entropy": 0.6725127598270774, "epoch": 2.598230679352362, "grad_norm": 5.53125, "learning_rate": 1.5735555555555557e-05, "loss": 0.6431, "mean_token_accuracy": 0.8106610123068094, "num_tokens": 39080016.0, "step": 2920 }, { "entropy": 0.6704443937167526, "epoch": 2.607132921604629, "grad_norm": 5.15625, "learning_rate": 1.5713333333333334e-05, "loss": 0.626, "mean_token_accuracy": 0.8133666381239891, "num_tokens": 39211023.0, "step": 2930 }, { "entropy": 0.6696614004671574, "epoch": 2.6160351638568966, "grad_norm": 5.5, "learning_rate": 1.5691111111111112e-05, "loss": 0.6411, "mean_token_accuracy": 0.8135382037609815, "num_tokens": 39345434.0, "step": 2940 }, { "entropy": 0.6526558686047792, "epoch": 2.6249374061091637, "grad_norm": 6.0625, "learning_rate": 1.5668888888888893e-05, "loss": 0.6228, "mean_token_accuracy": 0.8154466915875673, "num_tokens": 39477589.0, "step": 2950 }, { "entropy": 0.6912691283971071, "epoch": 2.6338396483614313, "grad_norm": 6.3125, "learning_rate": 1.5646666666666667e-05, "loss": 0.6538, "mean_token_accuracy": 0.8079862985759974, "num_tokens": 39610041.0, "step": 2960 }, { "entropy": 0.6524309016764164, "epoch": 2.6427418906136984, "grad_norm": 5.0625, "learning_rate": 1.5624444444444448e-05, "loss": 0.6221, "mean_token_accuracy": 0.8171541560441256, "num_tokens": 39752300.0, "step": 2970 }, { "entropy": 0.6497844392433763, "epoch": 2.6516441328659655, "grad_norm": 5.28125, "learning_rate": 1.5602222222222222e-05, "loss": 0.6191, "mean_token_accuracy": 0.816034659743309, "num_tokens": 39884185.0, "step": 2980 }, { "entropy": 0.7120374557562172, "epoch": 2.660546375118233, "grad_norm": 5.40625, "learning_rate": 1.5580000000000003e-05, "loss": 0.6781, "mean_token_accuracy": 0.8020179472863674, "num_tokens": 40013789.0, "step": 2990 }, { "entropy": 0.6579019205644727, "epoch": 2.6694486173705, "grad_norm": 6.1875, "learning_rate": 1.5557777777777778e-05, "loss": 0.6214, "mean_token_accuracy": 0.8132367212325334, "num_tokens": 40143543.0, "step": 3000 }, { "epoch": 2.6694486173705, "eval_coding_entropy": 1.352729766368866, "eval_coding_loss": 2.5435996055603027, "eval_coding_mean_token_accuracy": 0.5027551363706588, "eval_coding_num_tokens": 40143543.0, "eval_coding_runtime": 80.891, "eval_coding_samples_per_second": 6.181, "eval_coding_steps_per_second": 3.091, "step": 3000 }, { "epoch": 2.6694486173705, "eval_chemistry_entropy": 0.7262587877511978, "eval_chemistry_loss": 1.008080244064331, "eval_chemistry_mean_token_accuracy": 0.7569679837226868, "eval_chemistry_num_tokens": 40143543.0, "eval_chemistry_runtime": 44.0719, "eval_chemistry_samples_per_second": 11.345, "eval_chemistry_steps_per_second": 5.673, "step": 3000 }, { "entropy": 0.6745331380516291, "epoch": 2.6783508596227676, "grad_norm": 5.53125, "learning_rate": 1.553555555555556e-05, "loss": 0.6292, "mean_token_accuracy": 0.8121513605117798, "num_tokens": 40279074.0, "step": 3010 }, { "entropy": 0.6798911440186203, "epoch": 2.6872531018750347, "grad_norm": 6.21875, "learning_rate": 1.5513333333333333e-05, "loss": 0.6399, "mean_token_accuracy": 0.8098079148679972, "num_tokens": 40406812.0, "step": 3020 }, { "entropy": 0.7015228177420795, "epoch": 2.696155344127302, "grad_norm": 4.84375, "learning_rate": 1.5491111111111114e-05, "loss": 0.6698, "mean_token_accuracy": 0.8044562671333552, "num_tokens": 40537421.0, "step": 3030 }, { "entropy": 0.6907086078077554, "epoch": 2.7050575863795694, "grad_norm": 5.375, "learning_rate": 1.546888888888889e-05, "loss": 0.6583, "mean_token_accuracy": 0.8069438233971595, "num_tokens": 40668543.0, "step": 3040 }, { "entropy": 0.6553088827058673, "epoch": 2.7139598286318365, "grad_norm": 5.25, "learning_rate": 1.544666666666667e-05, "loss": 0.618, "mean_token_accuracy": 0.8174055136740208, "num_tokens": 40808027.0, "step": 3050 }, { "entropy": 0.6936577260494232, "epoch": 2.722862070884104, "grad_norm": 5.875, "learning_rate": 1.5424444444444447e-05, "loss": 0.6454, "mean_token_accuracy": 0.8049722142517567, "num_tokens": 40942603.0, "step": 3060 }, { "entropy": 0.6946257062256336, "epoch": 2.731764313136371, "grad_norm": 5.46875, "learning_rate": 1.5402222222222224e-05, "loss": 0.661, "mean_token_accuracy": 0.8087360549718141, "num_tokens": 41074577.0, "step": 3070 }, { "entropy": 0.6601529682986438, "epoch": 2.7406665553886382, "grad_norm": 5.84375, "learning_rate": 1.5380000000000002e-05, "loss": 0.624, "mean_token_accuracy": 0.816022364795208, "num_tokens": 41208093.0, "step": 3080 }, { "entropy": 0.6539908060804009, "epoch": 2.749568797640906, "grad_norm": 5.3125, "learning_rate": 1.535777777777778e-05, "loss": 0.644, "mean_token_accuracy": 0.8129688374698162, "num_tokens": 41341670.0, "step": 3090 }, { "entropy": 0.6638065639883279, "epoch": 2.7584710398931733, "grad_norm": 5.6875, "learning_rate": 1.5335555555555557e-05, "loss": 0.6345, "mean_token_accuracy": 0.8132123481482267, "num_tokens": 41477562.0, "step": 3100 }, { "epoch": 2.7584710398931733, "eval_coding_entropy": 1.3336818788051605, "eval_coding_loss": 2.5668866634368896, "eval_coding_mean_token_accuracy": 0.5014687118530273, "eval_coding_num_tokens": 41477562.0, "eval_coding_runtime": 80.6524, "eval_coding_samples_per_second": 6.199, "eval_coding_steps_per_second": 3.1, "step": 3100 }, { "epoch": 2.7584710398931733, "eval_chemistry_entropy": 0.7200761045217514, "eval_chemistry_loss": 0.9990389347076416, "eval_chemistry_mean_token_accuracy": 0.7580972800254822, "eval_chemistry_num_tokens": 41477562.0, "eval_chemistry_runtime": 44.3239, "eval_chemistry_samples_per_second": 11.281, "eval_chemistry_steps_per_second": 5.64, "step": 3100 }, { "entropy": 0.6416423838585615, "epoch": 2.7673732821454404, "grad_norm": 5.78125, "learning_rate": 1.5313333333333335e-05, "loss": 0.6136, "mean_token_accuracy": 0.8184031523764134, "num_tokens": 41615276.0, "step": 3110 }, { "entropy": 0.6809855399653315, "epoch": 2.7762755243977075, "grad_norm": 5.625, "learning_rate": 1.5291111111111112e-05, "loss": 0.653, "mean_token_accuracy": 0.8096095111221076, "num_tokens": 41746571.0, "step": 3120 }, { "entropy": 0.6584030732512474, "epoch": 2.785177766649975, "grad_norm": 5.59375, "learning_rate": 1.526888888888889e-05, "loss": 0.629, "mean_token_accuracy": 0.815122715011239, "num_tokens": 41875775.0, "step": 3130 }, { "entropy": 0.6617810314521193, "epoch": 2.794080008902242, "grad_norm": 6.0, "learning_rate": 1.5246666666666668e-05, "loss": 0.6224, "mean_token_accuracy": 0.8135030146688222, "num_tokens": 42011633.0, "step": 3140 }, { "entropy": 0.694177679810673, "epoch": 2.8029822511545097, "grad_norm": 5.71875, "learning_rate": 1.5224444444444447e-05, "loss": 0.6607, "mean_token_accuracy": 0.8052948355674744, "num_tokens": 42143308.0, "step": 3150 }, { "entropy": 0.6584483465179801, "epoch": 2.811884493406777, "grad_norm": 5.34375, "learning_rate": 1.5202222222222223e-05, "loss": 0.634, "mean_token_accuracy": 0.814565795660019, "num_tokens": 42283087.0, "step": 3160 }, { "entropy": 0.6723427005112171, "epoch": 2.820786735659044, "grad_norm": 5.625, "learning_rate": 1.5180000000000002e-05, "loss": 0.6285, "mean_token_accuracy": 0.8106303729116917, "num_tokens": 42420865.0, "step": 3170 }, { "entropy": 0.6260177625343204, "epoch": 2.8296889779113115, "grad_norm": 4.90625, "learning_rate": 1.5157777777777778e-05, "loss": 0.5945, "mean_token_accuracy": 0.8242932174354791, "num_tokens": 42561534.0, "step": 3180 }, { "entropy": 0.675075697619468, "epoch": 2.8385912201635786, "grad_norm": 5.46875, "learning_rate": 1.5135555555555557e-05, "loss": 0.6494, "mean_token_accuracy": 0.8105576701462269, "num_tokens": 42693832.0, "step": 3190 }, { "entropy": 0.6673068619333208, "epoch": 2.847493462415846, "grad_norm": 5.59375, "learning_rate": 1.5113333333333335e-05, "loss": 0.6347, "mean_token_accuracy": 0.8138904709368944, "num_tokens": 42834266.0, "step": 3200 }, { "epoch": 2.847493462415846, "eval_coding_entropy": 1.3546104590892791, "eval_coding_loss": 2.544434070587158, "eval_coding_mean_token_accuracy": 0.5036582814455033, "eval_coding_num_tokens": 42834266.0, "eval_coding_runtime": 80.6432, "eval_coding_samples_per_second": 6.2, "eval_coding_steps_per_second": 3.1, "step": 3200 }, { "epoch": 2.847493462415846, "eval_chemistry_entropy": 0.7308159035444259, "eval_chemistry_loss": 0.9910622835159302, "eval_chemistry_mean_token_accuracy": 0.7586741526126861, "eval_chemistry_num_tokens": 42834266.0, "eval_chemistry_runtime": 44.3134, "eval_chemistry_samples_per_second": 11.283, "eval_chemistry_steps_per_second": 5.642, "step": 3200 }, { "entropy": 0.7081947403028608, "epoch": 2.856395704668113, "grad_norm": 5.53125, "learning_rate": 1.5091111111111113e-05, "loss": 0.647, "mean_token_accuracy": 0.8072695821523667, "num_tokens": 42967494.0, "step": 3210 }, { "entropy": 0.6875266904011369, "epoch": 2.8652979469203803, "grad_norm": 6.125, "learning_rate": 1.506888888888889e-05, "loss": 0.6712, "mean_token_accuracy": 0.8070441871881485, "num_tokens": 43100513.0, "step": 3220 }, { "entropy": 0.6705147823318839, "epoch": 2.874200189172648, "grad_norm": 5.5625, "learning_rate": 1.5046666666666668e-05, "loss": 0.6458, "mean_token_accuracy": 0.8108558312058449, "num_tokens": 43240035.0, "step": 3230 }, { "entropy": 0.6661259103566408, "epoch": 2.8831024314249154, "grad_norm": 5.59375, "learning_rate": 1.5024444444444445e-05, "loss": 0.6249, "mean_token_accuracy": 0.815429400652647, "num_tokens": 43375632.0, "step": 3240 }, { "entropy": 0.6251379268243908, "epoch": 2.8920046736771825, "grad_norm": 5.125, "learning_rate": 1.5002222222222223e-05, "loss": 0.6021, "mean_token_accuracy": 0.8213659271597862, "num_tokens": 43514400.0, "step": 3250 }, { "entropy": 0.6793911940418184, "epoch": 2.9009069159294496, "grad_norm": 5.78125, "learning_rate": 1.498e-05, "loss": 0.6521, "mean_token_accuracy": 0.8136643651872874, "num_tokens": 43644341.0, "step": 3260 }, { "entropy": 0.6614615533500909, "epoch": 2.909809158181717, "grad_norm": 5.6875, "learning_rate": 1.495777777777778e-05, "loss": 0.6333, "mean_token_accuracy": 0.8129747349768877, "num_tokens": 43781318.0, "step": 3270 }, { "entropy": 0.6454314555041492, "epoch": 2.9187114004339842, "grad_norm": 5.28125, "learning_rate": 1.4935555555555556e-05, "loss": 0.5978, "mean_token_accuracy": 0.8210929311811924, "num_tokens": 43917580.0, "step": 3280 }, { "entropy": 0.6484104382805527, "epoch": 2.927613642686252, "grad_norm": 5.8125, "learning_rate": 1.4913333333333335e-05, "loss": 0.6214, "mean_token_accuracy": 0.816330011188984, "num_tokens": 44048559.0, "step": 3290 }, { "entropy": 0.6625750293955207, "epoch": 2.936515884938519, "grad_norm": 5.65625, "learning_rate": 1.4891111111111111e-05, "loss": 0.6249, "mean_token_accuracy": 0.8133521389216185, "num_tokens": 44177325.0, "step": 3300 }, { "epoch": 2.936515884938519, "eval_coding_entropy": 1.340244551897049, "eval_coding_loss": 2.546386480331421, "eval_coding_mean_token_accuracy": 0.5042038741111755, "eval_coding_num_tokens": 44177325.0, "eval_coding_runtime": 80.6967, "eval_coding_samples_per_second": 6.196, "eval_coding_steps_per_second": 3.098, "step": 3300 }, { "epoch": 2.936515884938519, "eval_chemistry_entropy": 0.7220234467983245, "eval_chemistry_loss": 0.9898947477340698, "eval_chemistry_mean_token_accuracy": 0.758931795835495, "eval_chemistry_num_tokens": 44177325.0, "eval_chemistry_runtime": 44.3614, "eval_chemistry_samples_per_second": 11.271, "eval_chemistry_steps_per_second": 5.636, "step": 3300 }, { "entropy": 0.6771549770608545, "epoch": 2.945418127190786, "grad_norm": 5.3125, "learning_rate": 1.486888888888889e-05, "loss": 0.642, "mean_token_accuracy": 0.8109464462846517, "num_tokens": 44311351.0, "step": 3310 }, { "entropy": 0.6604766797274351, "epoch": 2.9543203694430535, "grad_norm": 5.34375, "learning_rate": 1.4846666666666666e-05, "loss": 0.6346, "mean_token_accuracy": 0.8145252376794815, "num_tokens": 44442947.0, "step": 3320 }, { "entropy": 0.6826975420117378, "epoch": 2.9632226116953206, "grad_norm": 6.53125, "learning_rate": 1.4824444444444446e-05, "loss": 0.645, "mean_token_accuracy": 0.8113802324980497, "num_tokens": 44571899.0, "step": 3330 }, { "entropy": 0.6759714109823107, "epoch": 2.972124853947588, "grad_norm": 5.96875, "learning_rate": 1.4802222222222225e-05, "loss": 0.6459, "mean_token_accuracy": 0.8092896059155464, "num_tokens": 44700601.0, "step": 3340 }, { "entropy": 0.6581103198230267, "epoch": 2.9810270961998553, "grad_norm": 6.03125, "learning_rate": 1.478e-05, "loss": 0.6321, "mean_token_accuracy": 0.8154440209269523, "num_tokens": 44828600.0, "step": 3350 }, { "entropy": 0.6576101597398519, "epoch": 2.9899293384521224, "grad_norm": 5.46875, "learning_rate": 1.475777777777778e-05, "loss": 0.6166, "mean_token_accuracy": 0.818338543176651, "num_tokens": 44971479.0, "step": 3360 }, { "entropy": 0.6600229930132627, "epoch": 2.99883158070439, "grad_norm": 5.625, "learning_rate": 1.4735555555555556e-05, "loss": 0.6117, "mean_token_accuracy": 0.8145487550646067, "num_tokens": 45101238.0, "step": 3370 }, { "entropy": 0.49347520294605485, "epoch": 3.0071217938018138, "grad_norm": 6.15625, "learning_rate": 1.4713333333333335e-05, "loss": 0.4202, "mean_token_accuracy": 0.8740264201324258, "num_tokens": 45231796.0, "step": 3380 }, { "entropy": 0.4081104312092066, "epoch": 3.0160240360540813, "grad_norm": 5.5625, "learning_rate": 1.4691111111111111e-05, "loss": 0.3834, "mean_token_accuracy": 0.8790286026895047, "num_tokens": 45365444.0, "step": 3390 }, { "entropy": 0.41986756222322585, "epoch": 3.0249262783063484, "grad_norm": 6.375, "learning_rate": 1.466888888888889e-05, "loss": 0.3647, "mean_token_accuracy": 0.8841583203524351, "num_tokens": 45500317.0, "step": 3400 }, { "epoch": 3.0249262783063484, "eval_coding_entropy": 1.000330668926239, "eval_coding_loss": 3.113379955291748, "eval_coding_mean_token_accuracy": 0.48467672312259674, "eval_coding_num_tokens": 45500317.0, "eval_coding_runtime": 80.8769, "eval_coding_samples_per_second": 6.182, "eval_coding_steps_per_second": 3.091, "step": 3400 }, { "epoch": 3.0249262783063484, "eval_chemistry_entropy": 0.5033477848768234, "eval_chemistry_loss": 1.2048485279083252, "eval_chemistry_mean_token_accuracy": 0.7507229104042054, "eval_chemistry_num_tokens": 45500317.0, "eval_chemistry_runtime": 44.3578, "eval_chemistry_samples_per_second": 11.272, "eval_chemistry_steps_per_second": 5.636, "step": 3400 }, { "entropy": 0.3812009177170694, "epoch": 3.0338285205586155, "grad_norm": 5.59375, "learning_rate": 1.4646666666666666e-05, "loss": 0.3336, "mean_token_accuracy": 0.8897557239979506, "num_tokens": 45627891.0, "step": 3410 }, { "entropy": 0.3608863881789148, "epoch": 3.042730762810883, "grad_norm": 5.46875, "learning_rate": 1.4624444444444446e-05, "loss": 0.3279, "mean_token_accuracy": 0.8938877809792757, "num_tokens": 45762680.0, "step": 3420 }, { "entropy": 0.3777980367653072, "epoch": 3.05163300506315, "grad_norm": 6.09375, "learning_rate": 1.4602222222222225e-05, "loss": 0.3369, "mean_token_accuracy": 0.8900566104799509, "num_tokens": 45896651.0, "step": 3430 }, { "entropy": 0.374933801824227, "epoch": 3.0605352473154177, "grad_norm": 5.84375, "learning_rate": 1.4580000000000001e-05, "loss": 0.334, "mean_token_accuracy": 0.8923791516572237, "num_tokens": 46029923.0, "step": 3440 }, { "entropy": 0.379786391556263, "epoch": 3.069437489567685, "grad_norm": 5.78125, "learning_rate": 1.455777777777778e-05, "loss": 0.3445, "mean_token_accuracy": 0.8881295207887888, "num_tokens": 46173467.0, "step": 3450 }, { "entropy": 0.37924998281523586, "epoch": 3.0783397318199524, "grad_norm": 5.78125, "learning_rate": 1.4535555555555556e-05, "loss": 0.3406, "mean_token_accuracy": 0.8885490503162146, "num_tokens": 46305156.0, "step": 3460 }, { "entropy": 0.3563411055132747, "epoch": 3.0872419740722195, "grad_norm": 6.15625, "learning_rate": 1.4513333333333336e-05, "loss": 0.3265, "mean_token_accuracy": 0.8946562297642231, "num_tokens": 46446562.0, "step": 3470 }, { "entropy": 0.38276689909398554, "epoch": 3.0961442163244866, "grad_norm": 5.75, "learning_rate": 1.4491111111111111e-05, "loss": 0.3449, "mean_token_accuracy": 0.8880472250282765, "num_tokens": 46582874.0, "step": 3480 }, { "entropy": 0.3743845520541072, "epoch": 3.105046458576754, "grad_norm": 5.875, "learning_rate": 1.446888888888889e-05, "loss": 0.3447, "mean_token_accuracy": 0.8908812377601862, "num_tokens": 46715265.0, "step": 3490 }, { "entropy": 0.397824642714113, "epoch": 3.113948700829021, "grad_norm": 7.71875, "learning_rate": 1.4446666666666668e-05, "loss": 0.3672, "mean_token_accuracy": 0.8840487454086542, "num_tokens": 46850175.0, "step": 3500 }, { "epoch": 3.113948700829021, "eval_coding_entropy": 0.977915655374527, "eval_coding_loss": 3.1338014602661133, "eval_coding_mean_token_accuracy": 0.48520465755462644, "eval_coding_num_tokens": 46850175.0, "eval_coding_runtime": 80.6689, "eval_coding_samples_per_second": 6.198, "eval_coding_steps_per_second": 3.099, "step": 3500 }, { "epoch": 3.113948700829021, "eval_chemistry_entropy": 0.49352808421850203, "eval_chemistry_loss": 1.2194854021072388, "eval_chemistry_mean_token_accuracy": 0.7510249562263489, "eval_chemistry_num_tokens": 46850175.0, "eval_chemistry_runtime": 44.1305, "eval_chemistry_samples_per_second": 11.33, "eval_chemistry_steps_per_second": 5.665, "step": 3500 } ], "logging_steps": 10, "max_steps": 10000, "num_input_tokens_seen": 0, "num_train_epochs": 9, "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": 3.008825926483077e+18, "train_batch_size": 2, "trial_name": null, "trial_params": null }