{ "best_global_step": 293, "best_metric": 0.7508089542388916, "best_model_checkpoint": "/data/output/checkpoint-293", "epoch": 1.0, "eval_steps": 50, "global_step": 293, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 0.9166833657771349, "epoch": 0.034158838599487616, "grad_norm": 3.222971200942993, "learning_rate": 0.00012, "loss": 0.9930056571960449, "mean_token_accuracy": 0.7560420431196689, "num_tokens": 527570.0, "step": 10 }, { "entropy": 0.8743617489933968, "epoch": 0.06831767719897523, "grad_norm": 2.950977325439453, "learning_rate": 0.00019989785286500295, "loss": 0.8596245765686035, "mean_token_accuracy": 0.7780317589640617, "num_tokens": 911738.0, "step": 20 }, { "entropy": 0.8505361303687096, "epoch": 0.10247651579846286, "grad_norm": 2.1713857650756836, "learning_rate": 0.00019875109281794825, "loss": 0.8519834518432617, "mean_token_accuracy": 0.7800005592405796, "num_tokens": 1217407.0, "step": 30 }, { "entropy": 0.8255588114261627, "epoch": 0.13663535439795046, "grad_norm": 2.044369697570801, "learning_rate": 0.00019634456691705702, "loss": 0.8329530715942383, "mean_token_accuracy": 0.7832169122993946, "num_tokens": 1459942.0, "step": 40 }, { "entropy": 0.7476669192314148, "epoch": 0.1707941929974381, "grad_norm": 2.332352638244629, "learning_rate": 0.00019270897516847403, "loss": 0.7421693325042724, "mean_token_accuracy": 0.8033282555639744, "num_tokens": 1607170.0, "step": 50 }, { "epoch": 0.1707941929974381, "eval_entropy": 0.7600614526867866, "eval_loss": 0.8239800930023193, "eval_mean_token_accuracy": 0.783122000694275, "eval_num_tokens": 1607170.0, "eval_runtime": 68.4494, "eval_samples_per_second": 1.461, "eval_steps_per_second": 1.461, "step": 50 }, { "entropy": 0.9212068691849709, "epoch": 0.2049530315969257, "grad_norm": 2.5008842945098877, "learning_rate": 0.0001878906967484966, "loss": 0.9536626815795899, "mean_token_accuracy": 0.7510255746543407, "num_tokens": 2140236.0, "step": 60 }, { "entropy": 0.892504171282053, "epoch": 0.23911187019641333, "grad_norm": 2.6001062393188477, "learning_rate": 0.00018195119834528534, "loss": 0.8938531875610352, "mean_token_accuracy": 0.7676444724202156, "num_tokens": 2529105.0, "step": 70 }, { "entropy": 0.8622478015720845, "epoch": 0.27327070879590093, "grad_norm": 2.4243602752685547, "learning_rate": 0.000174966250029467, "loss": 0.8663266181945801, "mean_token_accuracy": 0.7741704121232033, "num_tokens": 2827030.0, "step": 80 }, { "entropy": 0.8519950624555349, "epoch": 0.3074295473953886, "grad_norm": 2.669633150100708, "learning_rate": 0.0001670249586567531, "loss": 0.8582368850708008, "mean_token_accuracy": 0.7774012103676796, "num_tokens": 3056051.0, "step": 90 }, { "entropy": 0.7770494304597377, "epoch": 0.3415883859948762, "grad_norm": 2.272737741470337, "learning_rate": 0.00015822863113343935, "loss": 0.7583271026611328, "mean_token_accuracy": 0.7930335685610771, "num_tokens": 3197462.0, "step": 100 }, { "epoch": 0.3415883859948762, "eval_entropy": 0.7913119502365589, "eval_loss": 0.8178356885910034, "eval_mean_token_accuracy": 0.7806616699695588, "eval_num_tokens": 3197462.0, "eval_runtime": 68.4545, "eval_samples_per_second": 1.461, "eval_steps_per_second": 1.461, "step": 100 }, { "entropy": 0.8400638666003942, "epoch": 0.37574722459436377, "grad_norm": 2.6273744106292725, "learning_rate": 0.000148689482046087, "loss": 0.874265193939209, "mean_token_accuracy": 0.7818703927099705, "num_tokens": 3723005.0, "step": 110 }, { "entropy": 0.925657919421792, "epoch": 0.4099060631938514, "grad_norm": 2.1081862449645996, "learning_rate": 0.00013852920214212964, "loss": 0.9439982414245606, "mean_token_accuracy": 0.7651735462248326, "num_tokens": 4114734.0, "step": 120 }, { "entropy": 0.882326266542077, "epoch": 0.444064901793339, "grad_norm": 2.2644991874694824, "learning_rate": 0.0001278774059232723, "loss": 0.8633623123168945, "mean_token_accuracy": 0.7738826431334018, "num_tokens": 4422977.0, "step": 130 }, { "entropy": 0.807782543823123, "epoch": 0.47822374039282667, "grad_norm": 3.417691946029663, "learning_rate": 0.00011686997815570473, "loss": 0.8137018203735351, "mean_token_accuracy": 0.7846895553171634, "num_tokens": 4655796.0, "step": 140 }, { "entropy": 0.7050723437219858, "epoch": 0.5123825789923142, "grad_norm": 2.4027786254882812, "learning_rate": 0.00010564734039066699, "loss": 0.712303638458252, "mean_token_accuracy": 0.8001660093665123, "num_tokens": 4792918.0, "step": 150 }, { "epoch": 0.5123825789923142, "eval_entropy": 0.8103001257777214, "eval_loss": 0.7926951050758362, "eval_mean_token_accuracy": 0.7870555037260055, "eval_num_tokens": 4792918.0, "eval_runtime": 68.4439, "eval_samples_per_second": 1.461, "eval_steps_per_second": 1.461, "step": 150 }, { "entropy": 0.9130790904164314, "epoch": 0.5465414175918019, "grad_norm": 3.106920003890991, "learning_rate": 9.435265960933302e-05, "loss": 0.9007230758666992, "mean_token_accuracy": 0.765869815647602, "num_tokens": 5341793.0, "step": 160 }, { "entropy": 0.8538723237812519, "epoch": 0.5807002561912895, "grad_norm": 2.4355342388153076, "learning_rate": 8.313002184429529e-05, "loss": 0.8396717071533203, "mean_token_accuracy": 0.7828280851244926, "num_tokens": 5741381.0, "step": 170 }, { "entropy": 0.8008106090128422, "epoch": 0.6148590947907772, "grad_norm": 2.2028732299804688, "learning_rate": 7.21225940767277e-05, "loss": 0.8295732498168945, "mean_token_accuracy": 0.7857915386557579, "num_tokens": 6044669.0, "step": 180 }, { "entropy": 0.7763356593437493, "epoch": 0.6490179333902647, "grad_norm": 2.3838558197021484, "learning_rate": 6.147079785787038e-05, "loss": 0.7925190925598145, "mean_token_accuracy": 0.7925213143229485, "num_tokens": 6265758.0, "step": 190 }, { "entropy": 0.7516565401107073, "epoch": 0.6831767719897524, "grad_norm": 2.4081294536590576, "learning_rate": 5.131051795391302e-05, "loss": 0.7475024223327636, "mean_token_accuracy": 0.7955034308135509, "num_tokens": 6393481.0, "step": 200 }, { "epoch": 0.6831767719897524, "eval_entropy": 0.7843938270211219, "eval_loss": 0.7650399208068848, "eval_mean_token_accuracy": 0.7912229967117309, "eval_num_tokens": 6393481.0, "eval_runtime": 68.4585, "eval_samples_per_second": 1.461, "eval_steps_per_second": 1.461, "step": 200 }, { "entropy": 0.8729221720248461, "epoch": 0.71733561058924, "grad_norm": 2.095632791519165, "learning_rate": 4.1771368866560665e-05, "loss": 0.8615994453430176, "mean_token_accuracy": 0.7780913896858692, "num_tokens": 6941504.0, "step": 210 }, { "entropy": 0.8114416748285294, "epoch": 0.7514944491887275, "grad_norm": 2.0843183994293213, "learning_rate": 3.2975041343246936e-05, "loss": 0.8434048652648926, "mean_token_accuracy": 0.7824041344225406, "num_tokens": 7343592.0, "step": 220 }, { "entropy": 0.8621546909213066, "epoch": 0.7856532877882152, "grad_norm": 2.093738317489624, "learning_rate": 2.5033749970533015e-05, "loss": 0.8560552597045898, "mean_token_accuracy": 0.7798775337636471, "num_tokens": 7660705.0, "step": 230 }, { "entropy": 0.756019243132323, "epoch": 0.8198121263877028, "grad_norm": 2.397739887237549, "learning_rate": 1.8048801654714688e-05, "loss": 0.7541797161102295, "mean_token_accuracy": 0.801513460278511, "num_tokens": 7899243.0, "step": 240 }, { "entropy": 0.6868984286673367, "epoch": 0.8539709649871904, "grad_norm": 2.3398942947387695, "learning_rate": 1.2109303251503434e-05, "loss": 0.6575294971466065, "mean_token_accuracy": 0.8151952736079693, "num_tokens": 8040306.0, "step": 250 }, { "epoch": 0.8539709649871904, "eval_entropy": 0.761812056005001, "eval_loss": 0.7535683512687683, "eval_mean_token_accuracy": 0.7959340953826904, "eval_num_tokens": 8040306.0, "eval_runtime": 68.4452, "eval_samples_per_second": 1.461, "eval_steps_per_second": 1.461, "step": 250 }, { "entropy": 0.8774461716413497, "epoch": 0.888129803586678, "grad_norm": 3.395538091659546, "learning_rate": 7.291024831525961e-06, "loss": 0.8889847755432129, "mean_token_accuracy": 0.7704262785613537, "num_tokens": 524637.0, "step": 260 }, { "entropy": 0.8536802887916565, "epoch": 0.9222886421861657, "grad_norm": 2.4246485233306885, "learning_rate": 3.655433082942972e-06, "loss": 0.874198055267334, "mean_token_accuracy": 0.7646903492510319, "num_tokens": 896801.0, "step": 270 }, { "entropy": 0.8110974848270416, "epoch": 0.9564474807856533, "grad_norm": 2.450005531311035, "learning_rate": 1.2489071820517396e-06, "loss": 0.8041668891906738, "mean_token_accuracy": 0.7852038599550724, "num_tokens": 1182207.0, "step": 280 }, { "entropy": 0.7051055304706096, "epoch": 0.9906063193851409, "grad_norm": 2.2891805171966553, "learning_rate": 1.0214713499706597e-07, "loss": 0.710789155960083, "mean_token_accuracy": 0.80729488581419, "num_tokens": 1374112.0, "step": 290 }, { "epoch": 1.0, "eval_entropy": 0.7507871267944575, "eval_loss": 0.7508089542388916, "eval_mean_token_accuracy": 0.7960579419136047, "eval_num_tokens": 1401863.0, "eval_runtime": 68.5518, "eval_samples_per_second": 1.459, "eval_steps_per_second": 1.459, "step": 293 } ], "logging_steps": 10, "max_steps": 293, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 50, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 4.0834807145130394e+17, "train_batch_size": 2, "trial_name": null, "trial_params": null }