{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.890224225226729, "eval_steps": 100, "global_step": 1000, "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 } ], "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": 8.606016510296003e+17, "train_batch_size": 2, "trial_name": null, "trial_params": null }