{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.2, "eval_steps": 100, "global_step": 500, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 0.7581225659698247, "epoch": 0.004, "grad_norm": 101.5, "learning_rate": 1.8e-07, "loss": 18.1141, "mean_token_accuracy": 0.7393306585028767, "num_tokens": 72542.0, "step": 10 }, { "entropy": 0.7520309612154961, "epoch": 0.008, "grad_norm": 162.0, "learning_rate": 3.8e-07, "loss": 18.2441, "mean_token_accuracy": 0.7392390985041857, "num_tokens": 138146.0, "step": 20 }, { "entropy": 0.741816989146173, "epoch": 0.012, "grad_norm": 92.5, "learning_rate": 5.800000000000001e-07, "loss": 17.8539, "mean_token_accuracy": 0.7405363619327545, "num_tokens": 208409.0, "step": 30 }, { "entropy": 0.7636421315371991, "epoch": 0.016, "grad_norm": 88.0, "learning_rate": 7.8e-07, "loss": 18.142, "mean_token_accuracy": 0.7400334309786558, "num_tokens": 280941.0, "step": 40 }, { "entropy": 0.7905357209965587, "epoch": 0.02, "grad_norm": 108.0, "learning_rate": 9.800000000000001e-07, "loss": 18.1041, "mean_token_accuracy": 0.7354144401848316, "num_tokens": 349731.0, "step": 50 }, { "entropy": 0.8223027169704438, "epoch": 0.024, "grad_norm": 112.5, "learning_rate": 1.1800000000000001e-06, "loss": 18.4599, "mean_token_accuracy": 0.731158659607172, "num_tokens": 419127.0, "step": 60 }, { "entropy": 0.7908559931442142, "epoch": 0.028, "grad_norm": 106.0, "learning_rate": 1.3800000000000001e-06, "loss": 17.5053, "mean_token_accuracy": 0.7440328601747751, "num_tokens": 489016.0, "step": 70 }, { "entropy": 0.8229548260569572, "epoch": 0.032, "grad_norm": 86.0, "learning_rate": 1.5800000000000001e-06, "loss": 17.3714, "mean_token_accuracy": 0.7438380591571331, "num_tokens": 558056.0, "step": 80 }, { "entropy": 0.84512098710984, "epoch": 0.036, "grad_norm": 100.5, "learning_rate": 1.7800000000000001e-06, "loss": 17.2456, "mean_token_accuracy": 0.7478047309443354, "num_tokens": 627804.0, "step": 90 }, { "entropy": 0.8738276792690158, "epoch": 0.04, "grad_norm": 67.0, "learning_rate": 1.98e-06, "loss": 16.6896, "mean_token_accuracy": 0.748936639726162, "num_tokens": 697556.0, "step": 100 }, { "epoch": 0.04, "eval_biology_entropy": 1.1379984815716744, "eval_biology_loss": 1.2692387104034424, "eval_biology_mean_token_accuracy": 0.6880569371581078, "eval_biology_num_tokens": 697556.0, "eval_biology_runtime": 40.5573, "eval_biology_samples_per_second": 12.328, "eval_biology_steps_per_second": 12.328, "step": 100 }, { "epoch": 0.04, "eval_math_entropy": 0.9095822716951371, "eval_math_loss": 1.0899367332458496, "eval_math_mean_token_accuracy": 0.7395683622956276, "eval_math_num_tokens": 697556.0, "eval_math_runtime": 48.0541, "eval_math_samples_per_second": 10.405, "eval_math_steps_per_second": 10.405, "step": 100 }, { "entropy": 0.9193563124164938, "epoch": 0.044, "grad_norm": 88.5, "learning_rate": 2.1800000000000003e-06, "loss": 17.3763, "mean_token_accuracy": 0.7420263335108757, "num_tokens": 765262.0, "step": 110 }, { "entropy": 0.8906641118228436, "epoch": 0.048, "grad_norm": 78.0, "learning_rate": 2.38e-06, "loss": 16.2142, "mean_token_accuracy": 0.7552934620529413, "num_tokens": 836753.0, "step": 120 }, { "entropy": 0.9178624864667654, "epoch": 0.052, "grad_norm": 70.0, "learning_rate": 2.5800000000000003e-06, "loss": 16.3594, "mean_token_accuracy": 0.7507667759433388, "num_tokens": 909947.0, "step": 130 }, { "entropy": 0.9556385111063719, "epoch": 0.056, "grad_norm": 70.0, "learning_rate": 2.7800000000000005e-06, "loss": 16.6438, "mean_token_accuracy": 0.748611630871892, "num_tokens": 981959.0, "step": 140 }, { "entropy": 0.9541467605158687, "epoch": 0.06, "grad_norm": 86.0, "learning_rate": 2.9800000000000003e-06, "loss": 16.5304, "mean_token_accuracy": 0.7486465960741043, "num_tokens": 1053624.0, "step": 150 }, { "entropy": 0.9960285406559706, "epoch": 0.064, "grad_norm": 78.0, "learning_rate": 3.1800000000000005e-06, "loss": 16.9435, "mean_token_accuracy": 0.7448480188846588, "num_tokens": 1126446.0, "step": 160 }, { "entropy": 0.9677659103646874, "epoch": 0.068, "grad_norm": 106.5, "learning_rate": 3.3800000000000007e-06, "loss": 16.1013, "mean_token_accuracy": 0.7561902595683933, "num_tokens": 1196286.0, "step": 170 }, { "entropy": 0.9270429328083992, "epoch": 0.072, "grad_norm": 62.0, "learning_rate": 3.58e-06, "loss": 15.3741, "mean_token_accuracy": 0.763100459985435, "num_tokens": 1273905.0, "step": 180 }, { "entropy": 0.9678281666710973, "epoch": 0.076, "grad_norm": 51.0, "learning_rate": 3.7800000000000002e-06, "loss": 15.8618, "mean_token_accuracy": 0.7534618094563484, "num_tokens": 1346454.0, "step": 190 }, { "entropy": 0.9695806819945574, "epoch": 0.08, "grad_norm": 61.25, "learning_rate": 3.980000000000001e-06, "loss": 15.7874, "mean_token_accuracy": 0.7560878146439791, "num_tokens": 1413596.0, "step": 200 }, { "epoch": 0.08, "eval_biology_entropy": 1.214613477051258, "eval_biology_loss": 1.2630934715270996, "eval_biology_mean_token_accuracy": 0.6885634814500808, "eval_biology_num_tokens": 1413596.0, "eval_biology_runtime": 40.4294, "eval_biology_samples_per_second": 12.367, "eval_biology_steps_per_second": 12.367, "step": 200 }, { "epoch": 0.08, "eval_math_entropy": 0.9574190213680267, "eval_math_loss": 0.9871246218681335, "eval_math_mean_token_accuracy": 0.7557044946551323, "eval_math_num_tokens": 1413596.0, "eval_math_runtime": 48.0895, "eval_math_samples_per_second": 10.397, "eval_math_steps_per_second": 10.397, "step": 200 }, { "entropy": 0.8888338362798095, "epoch": 0.084, "grad_norm": 61.25, "learning_rate": 4.18e-06, "loss": 14.623, "mean_token_accuracy": 0.7706882227212191, "num_tokens": 1485147.0, "step": 210 }, { "entropy": 0.906145141646266, "epoch": 0.088, "grad_norm": 53.5, "learning_rate": 4.38e-06, "loss": 14.8128, "mean_token_accuracy": 0.7661576565355063, "num_tokens": 1559450.0, "step": 220 }, { "entropy": 0.95110107883811, "epoch": 0.092, "grad_norm": 63.25, "learning_rate": 4.58e-06, "loss": 15.2457, "mean_token_accuracy": 0.761219710484147, "num_tokens": 1631535.0, "step": 230 }, { "entropy": 0.9411580273881555, "epoch": 0.096, "grad_norm": 51.0, "learning_rate": 4.78e-06, "loss": 14.938, "mean_token_accuracy": 0.7646324578672647, "num_tokens": 1701193.0, "step": 240 }, { "entropy": 0.9254088591784239, "epoch": 0.1, "grad_norm": 56.25, "learning_rate": 4.980000000000001e-06, "loss": 14.6029, "mean_token_accuracy": 0.7678503680974245, "num_tokens": 1773596.0, "step": 250 }, { "entropy": 0.9214777417480946, "epoch": 0.104, "grad_norm": 54.0, "learning_rate": 5.18e-06, "loss": 15.043, "mean_token_accuracy": 0.7618352189660073, "num_tokens": 1840165.0, "step": 260 }, { "entropy": 0.9363527970388532, "epoch": 0.108, "grad_norm": 111.5, "learning_rate": 5.380000000000001e-06, "loss": 15.6052, "mean_token_accuracy": 0.7564919672906398, "num_tokens": 1908149.0, "step": 270 }, { "entropy": 0.9113753678277134, "epoch": 0.112, "grad_norm": 53.0, "learning_rate": 5.580000000000001e-06, "loss": 14.4645, "mean_token_accuracy": 0.7736385434865951, "num_tokens": 1979232.0, "step": 280 }, { "entropy": 0.916975767724216, "epoch": 0.116, "grad_norm": 54.5, "learning_rate": 5.78e-06, "loss": 15.0318, "mean_token_accuracy": 0.7656373519450426, "num_tokens": 2052039.0, "step": 290 }, { "entropy": 0.915022067911923, "epoch": 0.12, "grad_norm": 46.25, "learning_rate": 5.98e-06, "loss": 14.7236, "mean_token_accuracy": 0.7691222932189703, "num_tokens": 2125815.0, "step": 300 }, { "epoch": 0.12, "eval_biology_entropy": 1.2286294117569923, "eval_biology_loss": 1.268429160118103, "eval_biology_mean_token_accuracy": 0.6861296361088752, "eval_biology_num_tokens": 2125815.0, "eval_biology_runtime": 40.4544, "eval_biology_samples_per_second": 12.36, "eval_biology_steps_per_second": 12.36, "step": 300 }, { "epoch": 0.12, "eval_math_entropy": 0.9302992832064628, "eval_math_loss": 0.9273415803909302, "eval_math_mean_token_accuracy": 0.7664831226468086, "eval_math_num_tokens": 2125815.0, "eval_math_runtime": 48.047, "eval_math_samples_per_second": 10.406, "eval_math_steps_per_second": 10.406, "step": 300 }, { "entropy": 0.9336849415674806, "epoch": 0.124, "grad_norm": 55.25, "learning_rate": 6.18e-06, "loss": 14.9674, "mean_token_accuracy": 0.7661335166543722, "num_tokens": 2201991.0, "step": 310 }, { "entropy": 0.8756070390343667, "epoch": 0.128, "grad_norm": 52.25, "learning_rate": 6.380000000000001e-06, "loss": 14.0, "mean_token_accuracy": 0.7786776568740607, "num_tokens": 2274177.0, "step": 320 }, { "entropy": 0.892756593041122, "epoch": 0.132, "grad_norm": 45.75, "learning_rate": 6.5800000000000005e-06, "loss": 14.1896, "mean_token_accuracy": 0.7731969062238931, "num_tokens": 2342173.0, "step": 330 }, { "entropy": 0.8899674592539668, "epoch": 0.136, "grad_norm": 56.5, "learning_rate": 6.780000000000001e-06, "loss": 14.2167, "mean_token_accuracy": 0.7683363553136587, "num_tokens": 2412435.0, "step": 340 }, { "entropy": 0.9237651886418462, "epoch": 0.14, "grad_norm": 49.5, "learning_rate": 6.98e-06, "loss": 14.7203, "mean_token_accuracy": 0.7684664275497198, "num_tokens": 2481105.0, "step": 350 }, { "entropy": 0.8494639024138451, "epoch": 0.144, "grad_norm": 49.0, "learning_rate": 7.180000000000001e-06, "loss": 13.6956, "mean_token_accuracy": 0.7817885402590037, "num_tokens": 2548445.0, "step": 360 }, { "entropy": 0.8341110894456506, "epoch": 0.148, "grad_norm": 44.0, "learning_rate": 7.3800000000000005e-06, "loss": 13.2223, "mean_token_accuracy": 0.789648124948144, "num_tokens": 2621364.0, "step": 370 }, { "entropy": 0.8608193326741457, "epoch": 0.152, "grad_norm": 52.25, "learning_rate": 7.58e-06, "loss": 13.8861, "mean_token_accuracy": 0.7754677496850491, "num_tokens": 2686462.0, "step": 380 }, { "entropy": 0.8447565982118249, "epoch": 0.156, "grad_norm": 50.0, "learning_rate": 7.78e-06, "loss": 13.5199, "mean_token_accuracy": 0.7812942665070295, "num_tokens": 2754241.0, "step": 390 }, { "entropy": 0.8711243279278278, "epoch": 0.16, "grad_norm": 79.0, "learning_rate": 7.980000000000002e-06, "loss": 14.1276, "mean_token_accuracy": 0.7742310840636492, "num_tokens": 2824418.0, "step": 400 }, { "epoch": 0.16, "eval_biology_entropy": 1.22758097666502, "eval_biology_loss": 1.2762199640274048, "eval_biology_mean_token_accuracy": 0.6836535354852676, "eval_biology_num_tokens": 2824418.0, "eval_biology_runtime": 40.7281, "eval_biology_samples_per_second": 12.277, "eval_biology_steps_per_second": 12.277, "step": 400 }, { "epoch": 0.16, "eval_math_entropy": 0.9047691844701767, "eval_math_loss": 0.8841754198074341, "eval_math_mean_token_accuracy": 0.775034920334816, "eval_math_num_tokens": 2824418.0, "eval_math_runtime": 47.9197, "eval_math_samples_per_second": 10.434, "eval_math_steps_per_second": 10.434, "step": 400 }, { "entropy": 0.8859184484928846, "epoch": 0.164, "grad_norm": 127.0, "learning_rate": 8.18e-06, "loss": 14.142, "mean_token_accuracy": 0.7765266574919224, "num_tokens": 2895667.0, "step": 410 }, { "entropy": 0.8501209424808621, "epoch": 0.168, "grad_norm": 40.0, "learning_rate": 8.380000000000001e-06, "loss": 13.8435, "mean_token_accuracy": 0.7774271417409182, "num_tokens": 2966031.0, "step": 420 }, { "entropy": 0.8510567891411484, "epoch": 0.172, "grad_norm": 45.75, "learning_rate": 8.580000000000001e-06, "loss": 13.3673, "mean_token_accuracy": 0.7858892437070608, "num_tokens": 3039780.0, "step": 430 }, { "entropy": 0.8355857279151678, "epoch": 0.176, "grad_norm": 44.5, "learning_rate": 8.78e-06, "loss": 13.7383, "mean_token_accuracy": 0.7784004233777523, "num_tokens": 3110313.0, "step": 440 }, { "entropy": 0.8662491450086236, "epoch": 0.18, "grad_norm": 43.75, "learning_rate": 8.98e-06, "loss": 13.6485, "mean_token_accuracy": 0.7806661173701286, "num_tokens": 3179963.0, "step": 450 }, { "entropy": 0.8596813324838877, "epoch": 0.184, "grad_norm": 46.0, "learning_rate": 9.180000000000002e-06, "loss": 13.7717, "mean_token_accuracy": 0.7796813258901238, "num_tokens": 3251139.0, "step": 460 }, { "entropy": 0.8454847941175103, "epoch": 0.188, "grad_norm": 56.25, "learning_rate": 9.38e-06, "loss": 13.4682, "mean_token_accuracy": 0.7803339377045632, "num_tokens": 3323519.0, "step": 470 }, { "entropy": 0.8228314617648721, "epoch": 0.192, "grad_norm": 49.75, "learning_rate": 9.58e-06, "loss": 13.3842, "mean_token_accuracy": 0.7827629748731851, "num_tokens": 3394170.0, "step": 480 }, { "entropy": 0.8164506537839771, "epoch": 0.196, "grad_norm": 54.25, "learning_rate": 9.780000000000001e-06, "loss": 13.1965, "mean_token_accuracy": 0.7878578577190638, "num_tokens": 3465341.0, "step": 490 }, { "entropy": 0.8838530456647277, "epoch": 0.2, "grad_norm": 51.0, "learning_rate": 9.980000000000001e-06, "loss": 13.9771, "mean_token_accuracy": 0.7734297584742308, "num_tokens": 3533571.0, "step": 500 }, { "epoch": 0.2, "eval_biology_entropy": 1.2344867270588875, "eval_biology_loss": 1.2817195653915405, "eval_biology_mean_token_accuracy": 0.6832386125922203, "eval_biology_num_tokens": 3533571.0, "eval_biology_runtime": 40.4092, "eval_biology_samples_per_second": 12.373, "eval_biology_steps_per_second": 12.373, "step": 500 }, { "epoch": 0.2, "eval_math_entropy": 0.8546719763875008, "eval_math_loss": 0.8547734618186951, "eval_math_mean_token_accuracy": 0.7804626071453095, "eval_math_num_tokens": 3533571.0, "eval_math_runtime": 48.0961, "eval_math_samples_per_second": 10.396, "eval_math_steps_per_second": 10.396, "step": 500 } ], "logging_steps": 10, "max_steps": 10000, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 2.3694136442134013e+17, "train_batch_size": 1, "trial_name": null, "trial_params": null }