{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0, "eval_steps": 100, "global_step": 375, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0, "eval_loss": 0.7259935140609741, "eval_ppl": 2.06678, "eval_runtime": 262.2012, "eval_samples_per_second": 0.191, "eval_steps_per_second": 0.191, "memory/device_reserved (GiB)": 16.61, "memory/max_active (GiB)": 13.63, "memory/max_allocated (GiB)": 13.63, "step": 0 }, { "epoch": 0.013333333333333334, "grad_norm": 0.9595199227333069, "learning_rate": 3.6363636363636364e-05, "loss": 0.7722715854644775, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 2.16468, "step": 5, "tokens/total": 655360, "tokens/trainable": 25212 }, { "epoch": 0.02666666666666667, "grad_norm": 0.899686336517334, "learning_rate": 8.181818181818183e-05, "loss": 0.6230775833129882, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.86466, "step": 10, "tokens/total": 1310720, "tokens/train_per_sec_per_gpu": 45.14, "tokens/trainable": 50168 }, { "epoch": 0.04, "grad_norm": 0.5400508046150208, "learning_rate": 9.998324072477266e-05, "loss": 0.32673048973083496, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.38643, "step": 15, "tokens/total": 1966080, "tokens/train_per_sec_per_gpu": 43.36, "tokens/trainable": 74436 }, { "epoch": 0.05333333333333334, "grad_norm": 0.6370494365692139, "learning_rate": 9.98808636150624e-05, "loss": 0.15945987701416015, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.17288, "step": 20, "tokens/total": 2621440, "tokens/train_per_sec_per_gpu": 40.94, "tokens/trainable": 97372 }, { "epoch": 0.06666666666666667, "grad_norm": 0.3147568702697754, "learning_rate": 9.968561049466214e-05, "loss": 0.06350756883621216, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.06557, "step": 25, "tokens/total": 3276800, "tokens/train_per_sec_per_gpu": 44.98, "tokens/trainable": 122367 }, { "epoch": 0.08, "grad_norm": 0.38141945004463196, "learning_rate": 9.939784491643734e-05, "loss": 0.03221326172351837, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.03274, "step": 30, "tokens/total": 3932160, "tokens/train_per_sec_per_gpu": 47.33, "tokens/trainable": 148467 }, { "epoch": 0.09333333333333334, "grad_norm": 0.19483867287635803, "learning_rate": 9.901810268744868e-05, "loss": 0.015181700885295867, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0153, "step": 35, "tokens/total": 4587520, "tokens/train_per_sec_per_gpu": 43.02, "tokens/trainable": 172408 }, { "epoch": 0.10666666666666667, "grad_norm": 0.2517841160297394, "learning_rate": 9.85470908713026e-05, "loss": 0.011043991893529892, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.01111, "step": 40, "tokens/total": 5242880, "tokens/train_per_sec_per_gpu": 42.69, "tokens/trainable": 196124 }, { "epoch": 0.12, "grad_norm": 0.18462270498275757, "learning_rate": 9.798568647162938e-05, "loss": 0.008527934551239014, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00856, "step": 45, "tokens/total": 5898240, "tokens/train_per_sec_per_gpu": 45.45, "tokens/trainable": 221449 }, { "epoch": 0.13333333333333333, "grad_norm": 0.15647922456264496, "learning_rate": 9.73349347991403e-05, "loss": 0.007092365622520446, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00712, "step": 50, "tokens/total": 6553600, "tokens/train_per_sec_per_gpu": 44.31, "tokens/trainable": 246009 }, { "epoch": 0.14666666666666667, "grad_norm": 0.14506474137306213, "learning_rate": 9.659604752530435e-05, "loss": 0.007451323419809341, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00748, "step": 55, "tokens/total": 7208960, "tokens/train_per_sec_per_gpu": 46.6, "tokens/trainable": 271720 }, { "epoch": 0.16, "grad_norm": 0.1790270060300827, "learning_rate": 9.577040042626833e-05, "loss": 0.006205667927861214, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00622, "step": 60, "tokens/total": 7864320, "tokens/train_per_sec_per_gpu": 44.67, "tokens/trainable": 296607 }, { "epoch": 0.17333333333333334, "grad_norm": 0.0761479064822197, "learning_rate": 9.485953082122116e-05, "loss": 0.006498461961746216, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00652, "step": 65, "tokens/total": 8519680, "tokens/train_per_sec_per_gpu": 41.69, "tokens/trainable": 319761 }, { "epoch": 0.18666666666666668, "grad_norm": 0.04886709898710251, "learning_rate": 9.38651347099721e-05, "loss": 0.006663598120212555, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00669, "step": 70, "tokens/total": 9175040, "tokens/train_per_sec_per_gpu": 45.88, "tokens/trainable": 345060 }, { "epoch": 0.2, "grad_norm": 0.1578911989927292, "learning_rate": 9.278906361507238e-05, "loss": 0.006440120935440064, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00646, "step": 75, "tokens/total": 9830400, "tokens/train_per_sec_per_gpu": 44.89, "tokens/trainable": 370067 }, { "epoch": 0.21333333333333335, "grad_norm": 0.042364154011011124, "learning_rate": 9.163332113436032e-05, "loss": 0.005803017318248749, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00582, "step": 80, "tokens/total": 10485760, "tokens/train_per_sec_per_gpu": 40.53, "tokens/trainable": 392560 }, { "epoch": 0.22666666666666666, "grad_norm": 0.045341458171606064, "learning_rate": 9.040005921034882e-05, "loss": 0.005494951084256172, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00551, "step": 85, "tokens/total": 11141120, "tokens/train_per_sec_per_gpu": 46.42, "tokens/trainable": 418173 }, { "epoch": 0.24, "grad_norm": 0.05745840072631836, "learning_rate": 8.90915741234015e-05, "loss": 0.005376889556646347, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00539, "step": 90, "tokens/total": 11796480, "tokens/train_per_sec_per_gpu": 47.3, "tokens/trainable": 444638 }, { "epoch": 0.25333333333333335, "grad_norm": 0.04302145168185234, "learning_rate": 8.771030221615786e-05, "loss": 0.005212824791669846, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00523, "step": 95, "tokens/total": 12451840, "tokens/train_per_sec_per_gpu": 45.65, "tokens/trainable": 470004 }, { "epoch": 0.26666666666666666, "grad_norm": 0.0410093255341053, "learning_rate": 8.625881535716883e-05, "loss": 0.00543316900730133, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00545, "step": 100, "tokens/total": 13107200, "tokens/train_per_sec_per_gpu": 48.85, "tokens/trainable": 497224 }, { "epoch": 0.26666666666666666, "eval_loss": 0.005125863943248987, "eval_ppl": 1.00514, "eval_runtime": 195.2155, "eval_samples_per_second": 0.256, "eval_steps_per_second": 0.256, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 13.81, "memory/max_allocated (GiB)": 13.81, "step": 100 }, { "epoch": 0.28, "grad_norm": 0.030487440526485443, "learning_rate": 8.473981615218863e-05, "loss": 0.005957278609275818, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00598, "step": 105, "tokens/total": 13762560, "tokens/train_per_sec_per_gpu": 29.14, "tokens/trainable": 519281 }, { "epoch": 0.29333333333333333, "grad_norm": 0.04392572119832039, "learning_rate": 8.315613291203976e-05, "loss": 0.0056614305824041365, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00568, "step": 110, "tokens/total": 14417920, "tokens/train_per_sec_per_gpu": 44.34, "tokens/trainable": 543938 }, { "epoch": 0.30666666666666664, "grad_norm": 0.045901015400886536, "learning_rate": 8.151071438642069e-05, "loss": 0.005855409428477287, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00587, "step": 115, "tokens/total": 15073280, "tokens/train_per_sec_per_gpu": 44.54, "tokens/trainable": 568651 }, { "epoch": 0.32, "grad_norm": 0.0359453484416008, "learning_rate": 7.980662427346127e-05, "loss": 0.0049194592982530596, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00493, "step": 120, "tokens/total": 15728640, "tokens/train_per_sec_per_gpu": 44.13, "tokens/trainable": 593085 }, { "epoch": 0.3333333333333333, "grad_norm": 0.041456568986177444, "learning_rate": 7.804703551524948e-05, "loss": 0.005270272865891457, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00528, "step": 125, "tokens/total": 16384000, "tokens/train_per_sec_per_gpu": 46.24, "tokens/trainable": 618820 }, { "epoch": 0.3466666666666667, "grad_norm": 0.05520692467689514, "learning_rate": 7.62352243899504e-05, "loss": 0.00528857558965683, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0053, "step": 130, "tokens/total": 17039360, "tokens/train_per_sec_per_gpu": 45.0, "tokens/trainable": 643808 }, { "epoch": 0.36, "grad_norm": 0.046541471034288406, "learning_rate": 7.4374564411518e-05, "loss": 0.004922469332814217, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00493, "step": 135, "tokens/total": 17694720, "tokens/train_per_sec_per_gpu": 44.91, "tokens/trainable": 668780 }, { "epoch": 0.37333333333333335, "grad_norm": 0.03092949464917183, "learning_rate": 7.246852004835807e-05, "loss": 0.005173306912183762, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00519, "step": 140, "tokens/total": 18350080, "tokens/train_per_sec_per_gpu": 41.7, "tokens/trainable": 691919 }, { "epoch": 0.38666666666666666, "grad_norm": 0.03591609001159668, "learning_rate": 7.052064027263786e-05, "loss": 0.005110039561986923, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00512, "step": 145, "tokens/total": 19005440, "tokens/train_per_sec_per_gpu": 41.76, "tokens/trainable": 715013 }, { "epoch": 0.4, "grad_norm": 0.025712192058563232, "learning_rate": 6.853455195225338e-05, "loss": 0.004509006440639496, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00452, "step": 150, "tokens/total": 19660800, "tokens/train_per_sec_per_gpu": 43.45, "tokens/trainable": 739169 }, { "epoch": 0.41333333333333333, "grad_norm": 0.03468570113182068, "learning_rate": 6.651395309775837e-05, "loss": 0.0048051241785287855, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00482, "step": 155, "tokens/total": 20316160, "tokens/train_per_sec_per_gpu": 43.28, "tokens/trainable": 763273 }, { "epoch": 0.4266666666666667, "grad_norm": 0.0264927726238966, "learning_rate": 6.446260597682839e-05, "loss": 0.005041670426726342, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00505, "step": 160, "tokens/total": 20971520, "tokens/train_per_sec_per_gpu": 42.96, "tokens/trainable": 787181 }, { "epoch": 0.44, "grad_norm": 0.05475484952330589, "learning_rate": 6.23843301090813e-05, "loss": 0.004970982298254966, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00498, "step": 165, "tokens/total": 21626880, "tokens/train_per_sec_per_gpu": 42.26, "tokens/trainable": 810805 }, { "epoch": 0.4533333333333333, "grad_norm": 0.02439168654382229, "learning_rate": 6.028299515429683e-05, "loss": 0.0044364482164382935, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00445, "step": 170, "tokens/total": 22282240, "tokens/train_per_sec_per_gpu": 40.05, "tokens/trainable": 832951 }, { "epoch": 0.4666666666666667, "grad_norm": 0.02172553911805153, "learning_rate": 5.816251370727748e-05, "loss": 0.004864436015486718, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00488, "step": 175, "tokens/total": 22937600, "tokens/train_per_sec_per_gpu": 44.58, "tokens/trainable": 857760 }, { "epoch": 0.48, "grad_norm": 0.033849216997623444, "learning_rate": 5.602683401276615e-05, "loss": 0.004620900005102157, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00463, "step": 180, "tokens/total": 23592960, "tokens/train_per_sec_per_gpu": 43.16, "tokens/trainable": 881673 }, { "epoch": 0.49333333333333335, "grad_norm": 0.029739772900938988, "learning_rate": 5.3879932613985316e-05, "loss": 0.004911043122410775, "memory/device_reserved (GiB)": 21.81, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00492, "step": 185, "tokens/total": 24248320, "tokens/train_per_sec_per_gpu": 41.23, "tokens/trainable": 904567 }, { "epoch": 0.5066666666666667, "grad_norm": 0.03290490806102753, "learning_rate": 5.172580694848541e-05, "loss": 0.004716288298368454, "memory/device_reserved (GiB)": 21.81, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00473, "step": 190, "tokens/total": 24903680, "tokens/train_per_sec_per_gpu": 44.56, "tokens/trainable": 929202 }, { "epoch": 0.52, "grad_norm": 0.03205181285738945, "learning_rate": 4.956846790508906e-05, "loss": 0.004729276150465011, "memory/device_reserved (GiB)": 21.83, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00474, "step": 195, "tokens/total": 25559040, "tokens/train_per_sec_per_gpu": 41.48, "tokens/trainable": 952306 }, { "epoch": 0.5333333333333333, "grad_norm": 0.03829289972782135, "learning_rate": 4.741193235578952e-05, "loss": 0.005359260737895966, "memory/device_reserved (GiB)": 21.83, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00537, "step": 200, "tokens/total": 26214400, "tokens/train_per_sec_per_gpu": 44.5, "tokens/trainable": 977028 }, { "epoch": 0.5333333333333333, "eval_loss": 0.005626738537102938, "eval_ppl": 1.00564, "eval_runtime": 196.0068, "eval_samples_per_second": 0.255, "eval_steps_per_second": 0.255, "memory/device_reserved (GiB)": 21.83, "memory/max_active (GiB)": 13.81, "memory/max_allocated (GiB)": 13.81, "step": 200 }, { "epoch": 0.5466666666666666, "grad_norm": 0.028605518862605095, "learning_rate": 4.5260215676508896e-05, "loss": 0.0047349721193313595, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00475, "step": 205, "tokens/total": 26869760, "tokens/train_per_sec_per_gpu": 30.53, "tokens/trainable": 1000141 }, { "epoch": 0.56, "grad_norm": 0.02617730386555195, "learning_rate": 4.31173242706416e-05, "loss": 0.0048753272742033, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.2, "memory/max_allocated (GiB)": 21.2, "ppl": 1.00489, "step": 210, "tokens/total": 27525120, "tokens/train_per_sec_per_gpu": 42.9, "tokens/trainable": 1023989 }, { "epoch": 0.5733333333333334, "grad_norm": 0.02969762124121189, "learning_rate": 4.0987248109304714e-05, "loss": 0.005086826533079148, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0051, "step": 215, "tokens/total": 28180480, "tokens/train_per_sec_per_gpu": 44.72, "tokens/trainable": 1049006 }, { "epoch": 0.5866666666666667, "grad_norm": 0.02718881517648697, "learning_rate": 3.887395330218429e-05, "loss": 0.004556325450539589, "memory/device_reserved (GiB)": 21.73, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00457, "step": 220, "tokens/total": 28835840, "tokens/train_per_sec_per_gpu": 40.82, "tokens/trainable": 1071704 }, { "epoch": 0.6, "grad_norm": 0.03086484782397747, "learning_rate": 3.678137471281056e-05, "loss": 0.004742009192705154, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00475, "step": 225, "tokens/total": 29491200, "tokens/train_per_sec_per_gpu": 42.15, "tokens/trainable": 1095051 }, { "epoch": 0.6133333333333333, "grad_norm": 0.030093587934970856, "learning_rate": 3.471340863201237e-05, "loss": 0.004773300513625145, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00478, "step": 230, "tokens/total": 30146560, "tokens/train_per_sec_per_gpu": 45.27, "tokens/trainable": 1120272 }, { "epoch": 0.6266666666666667, "grad_norm": 0.03221883624792099, "learning_rate": 3.2673905523191997e-05, "loss": 0.004905195906758308, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00492, "step": 235, "tokens/total": 30801920, "tokens/train_per_sec_per_gpu": 43.47, "tokens/trainable": 1144548 }, { "epoch": 0.64, "grad_norm": 0.029244637116789818, "learning_rate": 3.066666285292906e-05, "loss": 0.004887398332357407, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0049, "step": 240, "tokens/total": 31457280, "tokens/train_per_sec_per_gpu": 41.76, "tokens/trainable": 1167714 }, { "epoch": 0.6533333333333333, "grad_norm": 0.12850478291511536, "learning_rate": 2.8695418020261756e-05, "loss": 0.004754188284277916, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00477, "step": 245, "tokens/total": 32112640, "tokens/train_per_sec_per_gpu": 40.12, "tokens/trainable": 1189877 }, { "epoch": 0.6666666666666666, "grad_norm": 0.03636099770665169, "learning_rate": 2.6763841397811573e-05, "loss": 0.004981106519699097, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00499, "step": 250, "tokens/total": 32768000, "tokens/train_per_sec_per_gpu": 42.87, "tokens/trainable": 1213805 }, { "epoch": 0.68, "grad_norm": 0.022054197266697884, "learning_rate": 2.4875529497708356e-05, "loss": 0.004619970917701721, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00463, "step": 255, "tokens/total": 33423360, "tokens/train_per_sec_per_gpu": 43.1, "tokens/trainable": 1237666 }, { "epoch": 0.6933333333333334, "grad_norm": 0.027714325115084648, "learning_rate": 2.3033998275040046e-05, "loss": 0.0047100942581892015, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00472, "step": 260, "tokens/total": 34078720, "tokens/train_per_sec_per_gpu": 41.01, "tokens/trainable": 1260466 }, { "epoch": 0.7066666666666667, "grad_norm": 0.031128723174333572, "learning_rate": 2.1242676581296526e-05, "loss": 0.005079636722803116, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00509, "step": 265, "tokens/total": 34734080, "tokens/train_per_sec_per_gpu": 41.68, "tokens/trainable": 1283874 }, { "epoch": 0.72, "grad_norm": 0.027158157899975777, "learning_rate": 1.9504899779996355e-05, "loss": 0.0045673176646232605, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00458, "step": 270, "tokens/total": 35389440, "tokens/train_per_sec_per_gpu": 44.81, "tokens/trainable": 1308610 }, { "epoch": 0.7333333333333333, "grad_norm": 0.15057113766670227, "learning_rate": 1.7823903536384263e-05, "loss": 0.004708150401711464, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00472, "step": 275, "tokens/total": 36044800, "tokens/train_per_sec_per_gpu": 42.58, "tokens/trainable": 1332168 }, { "epoch": 0.7466666666666667, "grad_norm": 0.033471379429101944, "learning_rate": 1.6202817792762282e-05, "loss": 0.004595084860920906, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00461, "step": 280, "tokens/total": 36700160, "tokens/train_per_sec_per_gpu": 43.96, "tokens/trainable": 1356631 }, { "epoch": 0.76, "grad_norm": 0.023440664634108543, "learning_rate": 1.4644660940672627e-05, "loss": 0.004753060266375541, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00476, "step": 285, "tokens/total": 37355520, "tokens/train_per_sec_per_gpu": 42.77, "tokens/trainable": 1380446 }, { "epoch": 0.7733333333333333, "grad_norm": 0.027441756799817085, "learning_rate": 1.3152334200783167e-05, "loss": 0.005016597732901573, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00503, "step": 290, "tokens/total": 38010880, "tokens/train_per_sec_per_gpu": 40.86, "tokens/trainable": 1403091 }, { "epoch": 0.7866666666666666, "grad_norm": 0.026855869218707085, "learning_rate": 1.172861622094003e-05, "loss": 0.004580753669142723, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00459, "step": 295, "tokens/total": 38666240, "tokens/train_per_sec_per_gpu": 41.25, "tokens/trainable": 1426055 }, { "epoch": 0.8, "grad_norm": 0.023977380245923996, "learning_rate": 1.0376157902445488e-05, "loss": 0.004501186683773995, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00451, "step": 300, "tokens/total": 39321600, "tokens/train_per_sec_per_gpu": 43.12, "tokens/trainable": 1450273 }, { "epoch": 0.8, "eval_loss": 0.004734031390398741, "eval_ppl": 1.00475, "eval_runtime": 194.0886, "eval_samples_per_second": 0.258, "eval_steps_per_second": 0.258, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 13.81, "memory/max_allocated (GiB)": 13.81, "step": 300 }, { "epoch": 0.8133333333333334, "grad_norm": 0.030878398567438126, "learning_rate": 9.09747746419436e-06, "loss": 0.0043730147182941435, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.2, "memory/max_allocated (GiB)": 21.2, "ppl": 1.00438, "step": 305, "tokens/total": 39976960, "tokens/train_per_sec_per_gpu": 29.97, "tokens/trainable": 1472876 }, { "epoch": 0.8266666666666667, "grad_norm": 0.042352087795734406, "learning_rate": 7.894955753859413e-06, "loss": 0.004312443360686302, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00432, "step": 310, "tokens/total": 40632320, "tokens/train_per_sec_per_gpu": 42.03, "tokens/trainable": 1496335 }, { "epoch": 0.84, "grad_norm": 0.06731227040290833, "learning_rate": 6.770831814855883e-06, "loss": 0.004706869274377823, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00472, "step": 315, "tokens/total": 41287680, "tokens/train_per_sec_per_gpu": 42.45, "tokens/trainable": 1519779 }, { "epoch": 0.8533333333333334, "grad_norm": 0.03264646604657173, "learning_rate": 5.727198717339511e-06, "loss": 0.004393095150589943, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.0044, "step": 320, "tokens/total": 41943040, "tokens/train_per_sec_per_gpu": 39.05, "tokens/trainable": 1541449 }, { "epoch": 0.8666666666666667, "grad_norm": 0.02452196180820465, "learning_rate": 4.765999661000442e-06, "loss": 0.004691409692168236, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0047, "step": 325, "tokens/total": 42598400, "tokens/train_per_sec_per_gpu": 41.78, "tokens/trainable": 1564624 }, { "epoch": 0.88, "grad_norm": 0.02666294388473034, "learning_rate": 3.8890243569094874e-06, "loss": 0.004636475816369057, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00465, "step": 330, "tokens/total": 43253760, "tokens/train_per_sec_per_gpu": 43.77, "tokens/trainable": 1588899 }, { "epoch": 0.8933333333333333, "grad_norm": 0.026685087010264397, "learning_rate": 3.097905695153408e-06, "loss": 0.004494461417198181, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.0045, "step": 335, "tokens/total": 43909120, "tokens/train_per_sec_per_gpu": 41.39, "tokens/trainable": 1611899 }, { "epoch": 0.9066666666666666, "grad_norm": 0.02968110330402851, "learning_rate": 2.3941167044642944e-06, "loss": 0.004899434372782707, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00491, "step": 340, "tokens/total": 44564480, "tokens/train_per_sec_per_gpu": 44.52, "tokens/trainable": 1636597 }, { "epoch": 0.92, "grad_norm": 0.027353789657354355, "learning_rate": 1.7789678095037454e-06, "loss": 0.004315333440899849, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00432, "step": 345, "tokens/total": 45219840, "tokens/train_per_sec_per_gpu": 43.0, "tokens/trainable": 1660437 }, { "epoch": 0.9333333333333333, "grad_norm": 0.03258969634771347, "learning_rate": 1.2536043909088191e-06, "loss": 0.00461953803896904, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.18, "memory/max_allocated (GiB)": 21.18, "ppl": 1.00463, "step": 350, "tokens/total": 45875200, "tokens/train_per_sec_per_gpu": 42.58, "tokens/trainable": 1683976 }, { "epoch": 0.9466666666666667, "grad_norm": 0.02668372169137001, "learning_rate": 8.190046526428242e-07, "loss": 0.004539983719587326, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00455, "step": 355, "tokens/total": 46530560, "tokens/train_per_sec_per_gpu": 46.4, "tokens/trainable": 1709805 }, { "epoch": 0.96, "grad_norm": 0.01941784657537937, "learning_rate": 4.7597780062184073e-07, "loss": 0.004410231858491898, "memory/device_reserved (GiB)": 21.77, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00442, "step": 360, "tokens/total": 47185920, "tokens/train_per_sec_per_gpu": 43.28, "tokens/trainable": 1733745 }, { "epoch": 0.9733333333333334, "grad_norm": 0.03431093320250511, "learning_rate": 2.251625360083387e-07, "loss": 0.0044364739209413525, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00445, "step": 365, "tokens/total": 47841280, "tokens/train_per_sec_per_gpu": 43.06, "tokens/trainable": 1757536 }, { "epoch": 0.9866666666666667, "grad_norm": 0.021709132939577103, "learning_rate": 6.702586597719385e-08, "loss": 0.00460573323071003, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00462, "step": 370, "tokens/total": 48496640, "tokens/train_per_sec_per_gpu": 39.38, "tokens/trainable": 1779397 }, { "epoch": 1.0, "grad_norm": 0.02140376716852188, "learning_rate": 1.862234168542587e-09, "loss": 0.004865445569157601, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 21.19, "memory/max_allocated (GiB)": 21.19, "ppl": 1.00488, "step": 375, "tokens/total": 49152000, "tokens/train_per_sec_per_gpu": 45.08, "tokens/trainable": 1804456 }, { "epoch": 1.0, "eval_loss": 0.004683868959546089, "eval_ppl": 1.00469, "eval_runtime": 195.4932, "eval_samples_per_second": 0.256, "eval_steps_per_second": 0.256, "memory/device_reserved (GiB)": 21.79, "memory/max_active (GiB)": 13.81, "memory/max_allocated (GiB)": 13.81, "step": 375 } ], "logging_steps": 5, "max_steps": 375, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 100, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2.499850318381056e+18, "train_batch_size": 1, "trial_name": null, "trial_params": null }