{ "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": 2.4347459591925142, "epoch": 0.00890224225226729, "grad_norm": 0.00732421875, "learning_rate": 1.8e-07, "loss": 3.3392, "mean_token_accuracy": 0.4414398778229952, "num_tokens": 128968.0, "step": 10 }, { "entropy": 2.5189025782048704, "epoch": 0.01780448450453458, "grad_norm": 0.0098876953125, "learning_rate": 3.8e-07, "loss": 3.4461, "mean_token_accuracy": 0.42950069066137075, "num_tokens": 257189.0, "step": 20 }, { "entropy": 2.4521907046437263, "epoch": 0.026706726756801868, "grad_norm": 0.007659912109375, "learning_rate": 5.800000000000001e-07, "loss": 3.3929, "mean_token_accuracy": 0.43435896690934894, "num_tokens": 394654.0, "step": 30 }, { "entropy": 2.4908889502286913, "epoch": 0.03560896900906916, "grad_norm": 0.00909423828125, "learning_rate": 7.8e-07, "loss": 3.3731, "mean_token_accuracy": 0.4337937039323151, "num_tokens": 528285.0, "step": 40 }, { "entropy": 2.4656582184135916, "epoch": 0.04451121126133645, "grad_norm": 0.0078125, "learning_rate": 9.800000000000001e-07, "loss": 3.3705, "mean_token_accuracy": 0.4305401614867151, "num_tokens": 663126.0, "step": 50 }, { "entropy": 2.5354390598833563, "epoch": 0.053413453513603736, "grad_norm": 0.007659912109375, "learning_rate": 1.1800000000000001e-06, "loss": 3.4166, "mean_token_accuracy": 0.42836275026202203, "num_tokens": 801635.0, "step": 60 }, { "entropy": 2.496990965306759, "epoch": 0.06231569576587103, "grad_norm": 0.00885009765625, "learning_rate": 1.3800000000000001e-06, "loss": 3.4009, "mean_token_accuracy": 0.43142524575814606, "num_tokens": 931344.0, "step": 70 }, { "entropy": 2.5406345002353192, "epoch": 0.07121793801813832, "grad_norm": 0.007171630859375, "learning_rate": 1.5800000000000001e-06, "loss": 3.4506, "mean_token_accuracy": 0.42618109108880164, "num_tokens": 1060812.0, "step": 80 }, { "entropy": 2.4690978921949864, "epoch": 0.08012018027040561, "grad_norm": 0.0111083984375, "learning_rate": 1.7800000000000001e-06, "loss": 3.375, "mean_token_accuracy": 0.4317979410290718, "num_tokens": 1200650.0, "step": 90 }, { "entropy": 2.537689981609583, "epoch": 0.0890224225226729, "grad_norm": 0.009033203125, "learning_rate": 1.98e-06, "loss": 3.4588, "mean_token_accuracy": 0.4282337296754122, "num_tokens": 1327380.0, "step": 100 }, { "epoch": 0.0890224225226729, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 1327380.0, "eval_coding_runtime": 96.2988, "eval_coding_samples_per_second": 5.192, "eval_coding_steps_per_second": 2.596, "step": 100 }, { "epoch": 0.0890224225226729, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 1327380.0, "eval_chemistry_runtime": 53.689, "eval_chemistry_samples_per_second": 9.313, "eval_chemistry_steps_per_second": 4.656, "step": 100 }, { "entropy": 2.541736252605915, "epoch": 0.09792466477494019, "grad_norm": 0.0079345703125, "learning_rate": 2.1800000000000003e-06, "loss": 3.4778, "mean_token_accuracy": 0.42182709854096173, "num_tokens": 1460130.0, "step": 110 }, { "entropy": 2.4891932401806116, "epoch": 0.10682690702720747, "grad_norm": 0.0091552734375, "learning_rate": 2.38e-06, "loss": 3.4123, "mean_token_accuracy": 0.4318336697295308, "num_tokens": 1597405.0, "step": 120 }, { "entropy": 2.549714620411396, "epoch": 0.11572914927947477, "grad_norm": 0.013427734375, "learning_rate": 2.5800000000000003e-06, "loss": 3.5233, "mean_token_accuracy": 0.4176134932786226, "num_tokens": 1728207.0, "step": 130 }, { "entropy": 2.5017867423594, "epoch": 0.12463139153174206, "grad_norm": 0.00921630859375, "learning_rate": 2.7800000000000005e-06, "loss": 3.4252, "mean_token_accuracy": 0.4325200604274869, "num_tokens": 1859684.0, "step": 140 }, { "entropy": 2.607860314100981, "epoch": 0.13353363378400934, "grad_norm": 0.0086669921875, "learning_rate": 2.9800000000000003e-06, "loss": 3.5854, "mean_token_accuracy": 0.41672497261315583, "num_tokens": 1985766.0, "step": 150 }, { "entropy": 2.546873392164707, "epoch": 0.14243587603627664, "grad_norm": 0.0096435546875, "learning_rate": 3.1800000000000005e-06, "loss": 3.4451, "mean_token_accuracy": 0.42558788452297447, "num_tokens": 2118068.0, "step": 160 }, { "entropy": 2.5062545992434027, "epoch": 0.15133811828854393, "grad_norm": 0.0125732421875, "learning_rate": 3.3800000000000007e-06, "loss": 3.4525, "mean_token_accuracy": 0.42451597433537247, "num_tokens": 2252650.0, "step": 170 }, { "entropy": 2.490347370505333, "epoch": 0.16024036054081123, "grad_norm": 0.0106201171875, "learning_rate": 3.58e-06, "loss": 3.398, "mean_token_accuracy": 0.4340389359742403, "num_tokens": 2388824.0, "step": 180 }, { "entropy": 2.5069186124950646, "epoch": 0.1691426027930785, "grad_norm": 0.01055908203125, "learning_rate": 3.7800000000000002e-06, "loss": 3.4995, "mean_token_accuracy": 0.42545853555202484, "num_tokens": 2515325.0, "step": 190 }, { "entropy": 2.569493807852268, "epoch": 0.1780448450453458, "grad_norm": 0.0174560546875, "learning_rate": 3.980000000000001e-06, "loss": 3.5293, "mean_token_accuracy": 0.4203047439455986, "num_tokens": 2644330.0, "step": 200 }, { "epoch": 0.1780448450453458, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 2644330.0, "eval_coding_runtime": 95.9249, "eval_coding_samples_per_second": 5.212, "eval_coding_steps_per_second": 2.606, "step": 200 }, { "epoch": 0.1780448450453458, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 2644330.0, "eval_chemistry_runtime": 53.6456, "eval_chemistry_samples_per_second": 9.32, "eval_chemistry_steps_per_second": 4.66, "step": 200 }, { "entropy": 2.463035849481821, "epoch": 0.18694708729761308, "grad_norm": 0.01226806640625, "learning_rate": 4.18e-06, "loss": 3.3809, "mean_token_accuracy": 0.43558520982041954, "num_tokens": 2783261.0, "step": 210 }, { "entropy": 2.5025305368006228, "epoch": 0.19584932954988038, "grad_norm": 0.007476806640625, "learning_rate": 4.38e-06, "loss": 3.4253, "mean_token_accuracy": 0.4310411293059587, "num_tokens": 2913700.0, "step": 220 }, { "entropy": 2.455498095601797, "epoch": 0.20475157180214767, "grad_norm": 0.0068359375, "learning_rate": 4.58e-06, "loss": 3.3586, "mean_token_accuracy": 0.43719491101801394, "num_tokens": 3048973.0, "step": 230 }, { "entropy": 2.5426308810710907, "epoch": 0.21365381405441494, "grad_norm": 0.007598876953125, "learning_rate": 4.78e-06, "loss": 3.406, "mean_token_accuracy": 0.43309843018651006, "num_tokens": 3185255.0, "step": 240 }, { "entropy": 2.444308698922396, "epoch": 0.22255605630668224, "grad_norm": 0.01324462890625, "learning_rate": 4.980000000000001e-06, "loss": 3.337, "mean_token_accuracy": 0.44262526389211415, "num_tokens": 3322823.0, "step": 250 }, { "entropy": 2.526992666721344, "epoch": 0.23145829855894953, "grad_norm": 0.0103759765625, "learning_rate": 5.18e-06, "loss": 3.478, "mean_token_accuracy": 0.42772163953632114, "num_tokens": 3454750.0, "step": 260 }, { "entropy": 2.468804422393441, "epoch": 0.24036054081121683, "grad_norm": 0.0084228515625, "learning_rate": 5.380000000000001e-06, "loss": 3.3899, "mean_token_accuracy": 0.4310757084749639, "num_tokens": 3589449.0, "step": 270 }, { "entropy": 2.5963171511888503, "epoch": 0.24926278306348412, "grad_norm": 0.00823974609375, "learning_rate": 5.580000000000001e-06, "loss": 3.5597, "mean_token_accuracy": 0.4164831433445215, "num_tokens": 3719113.0, "step": 280 }, { "entropy": 2.6820507936179636, "epoch": 0.2581650253157514, "grad_norm": 0.008056640625, "learning_rate": 5.78e-06, "loss": 3.6014, "mean_token_accuracy": 0.4143718365579844, "num_tokens": 3852276.0, "step": 290 }, { "entropy": 2.5068675063550474, "epoch": 0.2670672675680187, "grad_norm": 0.01226806640625, "learning_rate": 5.98e-06, "loss": 3.4183, "mean_token_accuracy": 0.4291886316612363, "num_tokens": 3990505.0, "step": 300 }, { "epoch": 0.2670672675680187, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 3990505.0, "eval_coding_runtime": 95.8518, "eval_coding_samples_per_second": 5.216, "eval_coding_steps_per_second": 2.608, "step": 300 }, { "epoch": 0.2670672675680187, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 3990505.0, "eval_chemistry_runtime": 53.7283, "eval_chemistry_samples_per_second": 9.306, "eval_chemistry_steps_per_second": 4.653, "step": 300 }, { "entropy": 2.4614722445607184, "epoch": 0.275969509820286, "grad_norm": 0.0091552734375, "learning_rate": 6.18e-06, "loss": 3.3329, "mean_token_accuracy": 0.4380343802273273, "num_tokens": 4133119.0, "step": 310 }, { "entropy": 2.4565507762134073, "epoch": 0.2848717520725533, "grad_norm": 0.0074462890625, "learning_rate": 6.380000000000001e-06, "loss": 3.376, "mean_token_accuracy": 0.4339581592008471, "num_tokens": 4267403.0, "step": 320 }, { "entropy": 2.4726619601249693, "epoch": 0.29377399432482054, "grad_norm": 0.007781982421875, "learning_rate": 6.5800000000000005e-06, "loss": 3.3584, "mean_token_accuracy": 0.43662677630782126, "num_tokens": 4400242.0, "step": 330 }, { "entropy": 2.4780636690557003, "epoch": 0.30267623657708786, "grad_norm": 0.009765625, "learning_rate": 6.780000000000001e-06, "loss": 3.3561, "mean_token_accuracy": 0.4329976743087173, "num_tokens": 4535458.0, "step": 340 }, { "entropy": 2.4669046089053155, "epoch": 0.31157847882935513, "grad_norm": 0.01031494140625, "learning_rate": 6.98e-06, "loss": 3.4031, "mean_token_accuracy": 0.43433742690831423, "num_tokens": 4662903.0, "step": 350 }, { "entropy": 2.5689725764095783, "epoch": 0.32048072108162245, "grad_norm": 0.00732421875, "learning_rate": 7.180000000000001e-06, "loss": 3.4889, "mean_token_accuracy": 0.4287034338340163, "num_tokens": 4796815.0, "step": 360 }, { "entropy": 2.4410855643451215, "epoch": 0.3293829633338897, "grad_norm": 0.00836181640625, "learning_rate": 7.3800000000000005e-06, "loss": 3.3643, "mean_token_accuracy": 0.43710872549563645, "num_tokens": 4932671.0, "step": 370 }, { "entropy": 2.5445352010428905, "epoch": 0.338285205586157, "grad_norm": 0.01129150390625, "learning_rate": 7.58e-06, "loss": 3.4525, "mean_token_accuracy": 0.42816965784877536, "num_tokens": 5066948.0, "step": 380 }, { "entropy": 2.565714708715677, "epoch": 0.3471874478384243, "grad_norm": 0.01470947265625, "learning_rate": 7.78e-06, "loss": 3.4661, "mean_token_accuracy": 0.4264904214069247, "num_tokens": 5193519.0, "step": 390 }, { "entropy": 2.516895131766796, "epoch": 0.3560896900906916, "grad_norm": 0.01031494140625, "learning_rate": 7.980000000000002e-06, "loss": 3.4401, "mean_token_accuracy": 0.4265883769840002, "num_tokens": 5324751.0, "step": 400 }, { "epoch": 0.3560896900906916, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 5324751.0, "eval_coding_runtime": 95.8822, "eval_coding_samples_per_second": 5.215, "eval_coding_steps_per_second": 2.607, "step": 400 }, { "epoch": 0.3560896900906916, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 5324751.0, "eval_chemistry_runtime": 53.6645, "eval_chemistry_samples_per_second": 9.317, "eval_chemistry_steps_per_second": 4.659, "step": 400 }, { "entropy": 2.4508687026798723, "epoch": 0.3649919323429589, "grad_norm": 0.010986328125, "learning_rate": 8.18e-06, "loss": 3.3874, "mean_token_accuracy": 0.4385754197835922, "num_tokens": 5458519.0, "step": 410 }, { "entropy": 2.4801586009562016, "epoch": 0.37389417459522617, "grad_norm": 0.00714111328125, "learning_rate": 8.380000000000001e-06, "loss": 3.4012, "mean_token_accuracy": 0.43559422083199023, "num_tokens": 5585508.0, "step": 420 }, { "entropy": 2.4704861216247083, "epoch": 0.38279641684749344, "grad_norm": 0.007659912109375, "learning_rate": 8.580000000000001e-06, "loss": 3.4353, "mean_token_accuracy": 0.43275914546102284, "num_tokens": 5716321.0, "step": 430 }, { "entropy": 2.537934695184231, "epoch": 0.39169865909976076, "grad_norm": 0.0081787109375, "learning_rate": 8.78e-06, "loss": 3.4176, "mean_token_accuracy": 0.4291856364347041, "num_tokens": 5848889.0, "step": 440 }, { "entropy": 2.513765400648117, "epoch": 0.400600901352028, "grad_norm": 0.00927734375, "learning_rate": 8.98e-06, "loss": 3.4106, "mean_token_accuracy": 0.42827712278813124, "num_tokens": 5980229.0, "step": 450 }, { "entropy": 2.4634178556501864, "epoch": 0.40950314360429535, "grad_norm": 0.01068115234375, "learning_rate": 9.180000000000002e-06, "loss": 3.4007, "mean_token_accuracy": 0.4337839787825942, "num_tokens": 6114855.0, "step": 460 }, { "entropy": 2.5320842534303667, "epoch": 0.4184053858565626, "grad_norm": 0.007049560546875, "learning_rate": 9.38e-06, "loss": 3.4216, "mean_token_accuracy": 0.4268041457980871, "num_tokens": 6244987.0, "step": 470 }, { "entropy": 2.4959075897932053, "epoch": 0.4273076281088299, "grad_norm": 0.0079345703125, "learning_rate": 9.58e-06, "loss": 3.3715, "mean_token_accuracy": 0.432720182929188, "num_tokens": 6378152.0, "step": 480 }, { "entropy": 2.503755620121956, "epoch": 0.4362098703610972, "grad_norm": 0.01708984375, "learning_rate": 9.780000000000001e-06, "loss": 3.4343, "mean_token_accuracy": 0.43189559010788797, "num_tokens": 6510231.0, "step": 490 }, { "entropy": 2.539106211811304, "epoch": 0.4451121126133645, "grad_norm": 0.0115966796875, "learning_rate": 9.980000000000001e-06, "loss": 3.4747, "mean_token_accuracy": 0.42332094311714175, "num_tokens": 6637273.0, "step": 500 }, { "epoch": 0.4451121126133645, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 6637273.0, "eval_coding_runtime": 95.8134, "eval_coding_samples_per_second": 5.218, "eval_coding_steps_per_second": 2.609, "step": 500 }, { "epoch": 0.4451121126133645, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 6637273.0, "eval_chemistry_runtime": 53.3031, "eval_chemistry_samples_per_second": 9.38, "eval_chemistry_steps_per_second": 4.69, "step": 500 }, { "entropy": 2.536660289019346, "epoch": 0.4540143548656318, "grad_norm": 0.0146484375, "learning_rate": 1.018e-05, "loss": 3.4613, "mean_token_accuracy": 0.4232974941842258, "num_tokens": 6765798.0, "step": 510 }, { "entropy": 2.459078107774258, "epoch": 0.46291659711789906, "grad_norm": 0.0079345703125, "learning_rate": 1.038e-05, "loss": 3.3655, "mean_token_accuracy": 0.43400888703763485, "num_tokens": 6896684.0, "step": 520 }, { "entropy": 2.454593952000141, "epoch": 0.4718188393701664, "grad_norm": 0.014404296875, "learning_rate": 1.0580000000000002e-05, "loss": 3.3614, "mean_token_accuracy": 0.43178336657583716, "num_tokens": 7033417.0, "step": 530 }, { "entropy": 2.558536158502102, "epoch": 0.48072108162243365, "grad_norm": 0.018310546875, "learning_rate": 1.0780000000000002e-05, "loss": 3.4999, "mean_token_accuracy": 0.4232194619253278, "num_tokens": 7166608.0, "step": 540 }, { "entropy": 2.4503342963755133, "epoch": 0.4896233238747009, "grad_norm": 0.0150146484375, "learning_rate": 1.0980000000000002e-05, "loss": 3.3626, "mean_token_accuracy": 0.4358119173906744, "num_tokens": 7311968.0, "step": 550 }, { "entropy": 2.4068671748042108, "epoch": 0.49852556612696824, "grad_norm": 0.00836181640625, "learning_rate": 1.1180000000000001e-05, "loss": 3.2928, "mean_token_accuracy": 0.44231050591915844, "num_tokens": 7444923.0, "step": 560 }, { "entropy": 2.5063270702958107, "epoch": 0.5074278083792355, "grad_norm": 0.007171630859375, "learning_rate": 1.138e-05, "loss": 3.4094, "mean_token_accuracy": 0.42552004270255567, "num_tokens": 7576456.0, "step": 570 }, { "entropy": 2.5186563402414324, "epoch": 0.5163300506315028, "grad_norm": 0.00994873046875, "learning_rate": 1.1580000000000001e-05, "loss": 3.4523, "mean_token_accuracy": 0.42800150997936726, "num_tokens": 7706502.0, "step": 580 }, { "entropy": 2.500379876047373, "epoch": 0.52523229288377, "grad_norm": 0.016357421875, "learning_rate": 1.178e-05, "loss": 3.4366, "mean_token_accuracy": 0.42906679548323157, "num_tokens": 7838516.0, "step": 590 }, { "entropy": 2.535025441646576, "epoch": 0.5341345351360374, "grad_norm": 0.0087890625, "learning_rate": 1.198e-05, "loss": 3.5082, "mean_token_accuracy": 0.42478432394564153, "num_tokens": 7969704.0, "step": 600 }, { "epoch": 0.5341345351360374, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 7969704.0, "eval_coding_runtime": 95.8333, "eval_coding_samples_per_second": 5.217, "eval_coding_steps_per_second": 2.609, "step": 600 }, { "epoch": 0.5341345351360374, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 7969704.0, "eval_chemistry_runtime": 53.6736, "eval_chemistry_samples_per_second": 9.316, "eval_chemistry_steps_per_second": 4.658, "step": 600 }, { "entropy": 2.542660507559776, "epoch": 0.5430367773883047, "grad_norm": 0.009765625, "learning_rate": 1.218e-05, "loss": 3.4959, "mean_token_accuracy": 0.42042196970433, "num_tokens": 8103869.0, "step": 610 }, { "entropy": 2.5036643177270888, "epoch": 0.551939019640572, "grad_norm": 0.007781982421875, "learning_rate": 1.2380000000000002e-05, "loss": 3.4222, "mean_token_accuracy": 0.43322109896689653, "num_tokens": 8242162.0, "step": 620 }, { "entropy": 2.5407710492610933, "epoch": 0.5608412618928392, "grad_norm": 0.01031494140625, "learning_rate": 1.2580000000000002e-05, "loss": 3.5112, "mean_token_accuracy": 0.424757894128561, "num_tokens": 8365617.0, "step": 630 }, { "entropy": 2.4822314344346523, "epoch": 0.5697435041451065, "grad_norm": 0.009033203125, "learning_rate": 1.2780000000000001e-05, "loss": 3.4362, "mean_token_accuracy": 0.43353409245610236, "num_tokens": 8497852.0, "step": 640 }, { "entropy": 2.5407922022044658, "epoch": 0.5786457463973739, "grad_norm": 0.0172119140625, "learning_rate": 1.2980000000000001e-05, "loss": 3.5164, "mean_token_accuracy": 0.42170737963169813, "num_tokens": 8622868.0, "step": 650 }, { "entropy": 2.577139265835285, "epoch": 0.5875479886496411, "grad_norm": 0.01007080078125, "learning_rate": 1.3180000000000001e-05, "loss": 3.5058, "mean_token_accuracy": 0.41903221048414707, "num_tokens": 8757753.0, "step": 660 }, { "entropy": 2.475165160000324, "epoch": 0.5964502309019084, "grad_norm": 0.01422119140625, "learning_rate": 1.3380000000000002e-05, "loss": 3.4273, "mean_token_accuracy": 0.4251199818216264, "num_tokens": 8886401.0, "step": 670 }, { "entropy": 2.4363515108823774, "epoch": 0.6053524731541757, "grad_norm": 0.01300048828125, "learning_rate": 1.3580000000000002e-05, "loss": 3.3275, "mean_token_accuracy": 0.43763177264481784, "num_tokens": 9024677.0, "step": 680 }, { "entropy": 2.56791525632143, "epoch": 0.614254715406443, "grad_norm": 0.0074462890625, "learning_rate": 1.378e-05, "loss": 3.4703, "mean_token_accuracy": 0.42369468677788974, "num_tokens": 9153771.0, "step": 690 }, { "entropy": 2.484988895058632, "epoch": 0.6231569576587103, "grad_norm": 0.0126953125, "learning_rate": 1.398e-05, "loss": 3.3769, "mean_token_accuracy": 0.4326890670694411, "num_tokens": 9291760.0, "step": 700 }, { "epoch": 0.6231569576587103, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 9291760.0, "eval_coding_runtime": 95.8189, "eval_coding_samples_per_second": 5.218, "eval_coding_steps_per_second": 2.609, "step": 700 }, { "epoch": 0.6231569576587103, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 9291760.0, "eval_chemistry_runtime": 53.6652, "eval_chemistry_samples_per_second": 9.317, "eval_chemistry_steps_per_second": 4.659, "step": 700 }, { "entropy": 2.4618755050003527, "epoch": 0.6320591999109776, "grad_norm": 0.00921630859375, "learning_rate": 1.418e-05, "loss": 3.4035, "mean_token_accuracy": 0.4318504808470607, "num_tokens": 9425022.0, "step": 710 }, { "entropy": 2.4683789536356926, "epoch": 0.6409614421632449, "grad_norm": 0.0076904296875, "learning_rate": 1.4380000000000001e-05, "loss": 3.3571, "mean_token_accuracy": 0.43439894206821916, "num_tokens": 9561091.0, "step": 720 }, { "entropy": 2.4340669311583043, "epoch": 0.6498636844155121, "grad_norm": 0.00970458984375, "learning_rate": 1.4580000000000001e-05, "loss": 3.3348, "mean_token_accuracy": 0.4359587837010622, "num_tokens": 9695723.0, "step": 730 }, { "entropy": 2.504717104136944, "epoch": 0.6587659266677794, "grad_norm": 0.0174560546875, "learning_rate": 1.478e-05, "loss": 3.4563, "mean_token_accuracy": 0.4270874824374914, "num_tokens": 9827272.0, "step": 740 }, { "entropy": 2.4963896624743938, "epoch": 0.6676681689200468, "grad_norm": 0.010498046875, "learning_rate": 1.498e-05, "loss": 3.3969, "mean_token_accuracy": 0.4328357223421335, "num_tokens": 9955369.0, "step": 750 }, { "entropy": 2.47789601534605, "epoch": 0.676570411172314, "grad_norm": 0.015869140625, "learning_rate": 1.5180000000000002e-05, "loss": 3.3672, "mean_token_accuracy": 0.43644896559417246, "num_tokens": 10096065.0, "step": 760 }, { "entropy": 2.4533426530659197, "epoch": 0.6854726534245813, "grad_norm": 0.00982666015625, "learning_rate": 1.5380000000000002e-05, "loss": 3.3724, "mean_token_accuracy": 0.43634699024260043, "num_tokens": 10233806.0, "step": 770 }, { "entropy": 2.5112246222794057, "epoch": 0.6943748956768486, "grad_norm": 0.00885009765625, "learning_rate": 1.5580000000000003e-05, "loss": 3.4341, "mean_token_accuracy": 0.4313540508970618, "num_tokens": 10364601.0, "step": 780 }, { "entropy": 2.467985014617443, "epoch": 0.703277137929116, "grad_norm": 0.01171875, "learning_rate": 1.578e-05, "loss": 3.379, "mean_token_accuracy": 0.4354724214412272, "num_tokens": 10500891.0, "step": 790 }, { "entropy": 2.4910646095871924, "epoch": 0.7121793801813832, "grad_norm": 0.0089111328125, "learning_rate": 1.5980000000000003e-05, "loss": 3.4174, "mean_token_accuracy": 0.4264952681958675, "num_tokens": 10633325.0, "step": 800 }, { "epoch": 0.7121793801813832, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 10633325.0, "eval_coding_runtime": 95.7207, "eval_coding_samples_per_second": 5.224, "eval_coding_steps_per_second": 2.612, "step": 800 }, { "epoch": 0.7121793801813832, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 10633325.0, "eval_chemistry_runtime": 53.6314, "eval_chemistry_samples_per_second": 9.323, "eval_chemistry_steps_per_second": 4.661, "step": 800 }, { "entropy": 2.421719251573086, "epoch": 0.7210816224336505, "grad_norm": 0.009033203125, "learning_rate": 1.618e-05, "loss": 3.373, "mean_token_accuracy": 0.4373985629528761, "num_tokens": 10764319.0, "step": 810 }, { "entropy": 2.43545116186142, "epoch": 0.7299838646859178, "grad_norm": 0.01287841796875, "learning_rate": 1.638e-05, "loss": 3.3444, "mean_token_accuracy": 0.43578007342293856, "num_tokens": 10897916.0, "step": 820 }, { "entropy": 2.5303331069648265, "epoch": 0.738886106938185, "grad_norm": 0.0125732421875, "learning_rate": 1.658e-05, "loss": 3.4252, "mean_token_accuracy": 0.4248075334355235, "num_tokens": 11030485.0, "step": 830 }, { "entropy": 2.4731515564024447, "epoch": 0.7477883491904523, "grad_norm": 0.007659912109375, "learning_rate": 1.6780000000000002e-05, "loss": 3.4258, "mean_token_accuracy": 0.43433472914621235, "num_tokens": 11165356.0, "step": 840 }, { "entropy": 2.4785347141325476, "epoch": 0.7566905914427197, "grad_norm": 0.0087890625, "learning_rate": 1.698e-05, "loss": 3.4161, "mean_token_accuracy": 0.4306844290345907, "num_tokens": 11299223.0, "step": 850 }, { "entropy": 2.4768461272120477, "epoch": 0.7655928336949869, "grad_norm": 0.01287841796875, "learning_rate": 1.718e-05, "loss": 3.3776, "mean_token_accuracy": 0.4344117846339941, "num_tokens": 11436799.0, "step": 860 }, { "entropy": 2.5141974300146104, "epoch": 0.7744950759472542, "grad_norm": 0.00830078125, "learning_rate": 1.7380000000000003e-05, "loss": 3.3958, "mean_token_accuracy": 0.4330358326435089, "num_tokens": 11567422.0, "step": 870 }, { "entropy": 2.515311509370804, "epoch": 0.7833973181995215, "grad_norm": 0.009765625, "learning_rate": 1.758e-05, "loss": 3.4031, "mean_token_accuracy": 0.4312752116471529, "num_tokens": 11703496.0, "step": 880 }, { "entropy": 2.453214881569147, "epoch": 0.7922995604517888, "grad_norm": 0.0093994140625, "learning_rate": 1.7780000000000003e-05, "loss": 3.3834, "mean_token_accuracy": 0.4389944301918149, "num_tokens": 11840317.0, "step": 890 }, { "entropy": 2.6043091461062433, "epoch": 0.801201802704056, "grad_norm": 0.01116943359375, "learning_rate": 1.798e-05, "loss": 3.5713, "mean_token_accuracy": 0.4135642783716321, "num_tokens": 11965530.0, "step": 900 }, { "epoch": 0.801201802704056, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 11965530.0, "eval_coding_runtime": 95.8462, "eval_coding_samples_per_second": 5.217, "eval_coding_steps_per_second": 2.608, "step": 900 }, { "epoch": 0.801201802704056, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 11965530.0, "eval_chemistry_runtime": 53.6177, "eval_chemistry_samples_per_second": 9.325, "eval_chemistry_steps_per_second": 4.663, "step": 900 }, { "entropy": 2.4632391795516013, "epoch": 0.8101040449563234, "grad_norm": 0.00836181640625, "learning_rate": 1.8180000000000002e-05, "loss": 3.4352, "mean_token_accuracy": 0.42954989019781353, "num_tokens": 12097917.0, "step": 910 }, { "entropy": 2.468993365764618, "epoch": 0.8190062872085907, "grad_norm": 0.0089111328125, "learning_rate": 1.8380000000000004e-05, "loss": 3.4071, "mean_token_accuracy": 0.4282375952228904, "num_tokens": 12224427.0, "step": 920 }, { "entropy": 2.468296863883734, "epoch": 0.8279085294608579, "grad_norm": 0.008056640625, "learning_rate": 1.858e-05, "loss": 3.3355, "mean_token_accuracy": 0.43817838532850145, "num_tokens": 12365332.0, "step": 930 }, { "entropy": 2.427542605996132, "epoch": 0.8368107717131252, "grad_norm": 0.01031494140625, "learning_rate": 1.878e-05, "loss": 3.317, "mean_token_accuracy": 0.44397469637915493, "num_tokens": 12509124.0, "step": 940 }, { "entropy": 2.4841547794640064, "epoch": 0.8457130139653926, "grad_norm": 0.018798828125, "learning_rate": 1.898e-05, "loss": 3.3654, "mean_token_accuracy": 0.434748101234436, "num_tokens": 12642651.0, "step": 950 }, { "entropy": 2.449143522232771, "epoch": 0.8546152562176598, "grad_norm": 0.00738525390625, "learning_rate": 1.918e-05, "loss": 3.4035, "mean_token_accuracy": 0.43319537229835986, "num_tokens": 12778408.0, "step": 960 }, { "entropy": 2.387574986368418, "epoch": 0.8635174984699271, "grad_norm": 0.0072021484375, "learning_rate": 1.938e-05, "loss": 3.2822, "mean_token_accuracy": 0.4413015801459551, "num_tokens": 12910630.0, "step": 970 }, { "entropy": 2.5341439098119736, "epoch": 0.8724197407221944, "grad_norm": 0.01055908203125, "learning_rate": 1.9580000000000002e-05, "loss": 3.4749, "mean_token_accuracy": 0.4271688721142709, "num_tokens": 13046473.0, "step": 980 }, { "entropy": 2.5607902660965918, "epoch": 0.8813219829744617, "grad_norm": 0.00848388671875, "learning_rate": 1.978e-05, "loss": 3.4981, "mean_token_accuracy": 0.4231617606244981, "num_tokens": 13167768.0, "step": 990 }, { "entropy": 2.4919896230101584, "epoch": 0.890224225226729, "grad_norm": 0.009765625, "learning_rate": 1.9980000000000002e-05, "loss": 3.3681, "mean_token_accuracy": 0.43273249492049215, "num_tokens": 13301659.0, "step": 1000 }, { "epoch": 0.890224225226729, "eval_coding_entropy": 1.266241003036499, "eval_coding_loss": 1.2625732421875, "eval_coding_mean_token_accuracy": 0.6838934738636017, "eval_coding_num_tokens": 13301659.0, "eval_coding_runtime": 95.788, "eval_coding_samples_per_second": 5.22, "eval_coding_steps_per_second": 2.61, "step": 1000 }, { "epoch": 0.890224225226729, "eval_chemistry_entropy": 2.520227357387543, "eval_chemistry_loss": 3.5777227878570557, "eval_chemistry_mean_token_accuracy": 0.4262875291109085, "eval_chemistry_num_tokens": 13301659.0, "eval_chemistry_runtime": 53.3313, "eval_chemistry_samples_per_second": 9.375, "eval_chemistry_steps_per_second": 4.688, "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": 1.1048995053730529e+18, "train_batch_size": 2, "trial_name": null, "trial_params": null }