{ "best_metric": 0.8730279414559969, "best_model_checkpoint": "./MDEBERTA_MLCR-outputs/checkpoint-77000", "epoch": 14.238165680473372, "eval_steps": 1000, "global_step": 77000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.1849112426035503, "grad_norm": 2.0331010818481445, "learning_rate": 1.849112426035503e-07, "loss": 0.7187, "step": 1000 }, { "epoch": 0.1849112426035503, "eval_accuracy": 0.4890784272935303, "eval_f1": 0.0, "eval_loss": 0.7106410264968872, "eval_precision": 0.0, "eval_recall": 0.0, "eval_runtime": 71.3076, "eval_samples_per_second": 134.824, "eval_steps_per_second": 8.428, "step": 1000 }, { "epoch": 0.3698224852071006, "grad_norm": 3.5357959270477295, "learning_rate": 3.698224852071006e-07, "loss": 0.6978, "step": 2000 }, { "epoch": 0.3698224852071006, "eval_accuracy": 0.5269398793426253, "eval_f1": 0.6158134820070958, "eval_loss": 0.6897135972976685, "eval_precision": 0.526277793820387, "eval_recall": 0.7420602605863192, "eval_runtime": 71.4436, "eval_samples_per_second": 134.568, "eval_steps_per_second": 8.412, "step": 2000 }, { "epoch": 0.5547337278106509, "grad_norm": 5.24600887298584, "learning_rate": 5.547337278106509e-07, "loss": 0.6881, "step": 3000 }, { "epoch": 0.5547337278106509, "eval_accuracy": 0.5542958185978781, "eval_f1": 0.6489143793527243, "eval_loss": 0.6817396283149719, "eval_precision": 0.5429864253393665, "eval_recall": 0.8061889250814332, "eval_runtime": 71.3024, "eval_samples_per_second": 134.834, "eval_steps_per_second": 8.429, "step": 3000 }, { "epoch": 0.7396449704142012, "grad_norm": 4.388635158538818, "learning_rate": 7.396449704142012e-07, "loss": 0.6831, "step": 4000 }, { "epoch": 0.7396449704142012, "eval_accuracy": 0.5620969419596422, "eval_f1": 0.666561064470141, "eval_loss": 0.6732956171035767, "eval_precision": 0.5455016852476018, "eval_recall": 0.8566775244299675, "eval_runtime": 71.4449, "eval_samples_per_second": 134.565, "eval_steps_per_second": 8.412, "step": 4000 }, { "epoch": 0.9245562130177515, "grad_norm": 6.712058067321777, "learning_rate": 9.245562130177515e-07, "loss": 0.6758, "step": 5000 }, { "epoch": 0.9245562130177515, "eval_accuracy": 0.5701060952777199, "eval_f1": 0.47927428499433034, "eval_loss": 0.6640639901161194, "eval_precision": 0.6287603305785124, "eval_recall": 0.38721498371335505, "eval_runtime": 71.1928, "eval_samples_per_second": 135.042, "eval_steps_per_second": 8.442, "step": 5000 }, { "epoch": 1.1094674556213018, "grad_norm": 5.304254055023193, "learning_rate": 1.1094674556213018e-06, "loss": 0.6636, "step": 6000 }, { "epoch": 1.1094674556213018, "eval_accuracy": 0.6098398169336384, "eval_f1": 0.6513616507110326, "eval_loss": 0.6411445736885071, "eval_precision": 0.599281682914315, "eval_recall": 0.7133550488599348, "eval_runtime": 71.3706, "eval_samples_per_second": 134.705, "eval_steps_per_second": 8.421, "step": 6000 }, { "epoch": 1.2943786982248522, "grad_norm": 17.199308395385742, "learning_rate": 1.294378698224852e-06, "loss": 0.6359, "step": 7000 }, { "epoch": 1.2943786982248522, "eval_accuracy": 0.6711046390680258, "eval_f1": 0.7002275312855518, "eval_loss": 0.5785636901855469, "eval_precision": 0.6552519517388219, "eval_recall": 0.7518322475570033, "eval_runtime": 71.2372, "eval_samples_per_second": 134.958, "eval_steps_per_second": 8.437, "step": 7000 }, { "epoch": 1.4792899408284024, "grad_norm": 17.191123962402344, "learning_rate": 1.4792899408284024e-06, "loss": 0.5651, "step": 8000 }, { "epoch": 1.4792899408284024, "eval_accuracy": 0.7214478884959434, "eval_f1": 0.6973327305605787, "eval_loss": 0.5006158947944641, "eval_precision": 0.7837906504065041, "eval_recall": 0.6280537459283387, "eval_runtime": 71.414, "eval_samples_per_second": 134.624, "eval_steps_per_second": 8.416, "step": 8000 }, { "epoch": 1.6642011834319526, "grad_norm": 17.50662612915039, "learning_rate": 1.6642011834319525e-06, "loss": 0.5189, "step": 9000 }, { "epoch": 1.6642011834319526, "eval_accuracy": 0.7335136259621385, "eval_f1": 0.7180897887323944, "eval_loss": 0.4555279016494751, "eval_precision": 0.7813697318007663, "eval_recall": 0.6642915309446255, "eval_runtime": 71.347, "eval_samples_per_second": 134.75, "eval_steps_per_second": 8.424, "step": 9000 }, { "epoch": 1.849112426035503, "grad_norm": 11.771262168884277, "learning_rate": 1.849112426035503e-06, "loss": 0.4782, "step": 10000 }, { "epoch": 1.849112426035503, "eval_accuracy": 0.7384023299355107, "eval_f1": 0.7066371165286364, "eval_loss": 0.43298760056495667, "eval_precision": 0.827369571155422, "eval_recall": 0.6166530944625407, "eval_runtime": 71.4997, "eval_samples_per_second": 134.462, "eval_steps_per_second": 8.406, "step": 10000 }, { "epoch": 2.0340236686390534, "grad_norm": 11.091800689697266, "learning_rate": 1.9962195923734386e-06, "loss": 0.4474, "step": 11000 }, { "epoch": 2.0340236686390534, "eval_accuracy": 0.7443311836904514, "eval_f1": 0.754739572939533, "eval_loss": 0.41377708315849304, "eval_precision": 0.7401174168297456, "eval_recall": 0.7699511400651465, "eval_runtime": 71.4016, "eval_samples_per_second": 134.647, "eval_steps_per_second": 8.417, "step": 11000 }, { "epoch": 2.2189349112426036, "grad_norm": 31.02802276611328, "learning_rate": 1.975673898750822e-06, "loss": 0.4275, "step": 12000 }, { "epoch": 2.2189349112426036, "eval_accuracy": 0.7448512585812357, "eval_f1": 0.769822651778174, "eval_loss": 0.40316781401634216, "eval_precision": 0.7140121845082681, "eval_recall": 0.8350977198697068, "eval_runtime": 71.3228, "eval_samples_per_second": 134.796, "eval_steps_per_second": 8.426, "step": 12000 }, { "epoch": 2.4038461538461537, "grad_norm": 30.21622085571289, "learning_rate": 1.955128205128205e-06, "loss": 0.425, "step": 13000 }, { "epoch": 2.4038461538461537, "eval_accuracy": 0.7466195132099023, "eval_f1": 0.792504258943782, "eval_loss": 0.40604618191719055, "eval_precision": 0.6813122437024018, "eval_recall": 0.9470684039087948, "eval_runtime": 71.2177, "eval_samples_per_second": 134.995, "eval_steps_per_second": 8.439, "step": 13000 }, { "epoch": 2.5887573964497044, "grad_norm": 7.608345031738281, "learning_rate": 1.9345825115055883e-06, "loss": 0.4093, "step": 14000 }, { "epoch": 2.5887573964497044, "eval_accuracy": 0.7550447264406075, "eval_f1": 0.7994208329784516, "eval_loss": 0.38763341307640076, "eval_precision": 0.6872162834968517, "eval_recall": 0.9554153094462541, "eval_runtime": 71.3556, "eval_samples_per_second": 134.734, "eval_steps_per_second": 8.423, "step": 14000 }, { "epoch": 2.7736686390532546, "grad_norm": 18.13289451599121, "learning_rate": 1.9140368178829715e-06, "loss": 0.4136, "step": 15000 }, { "epoch": 2.7736686390532546, "eval_accuracy": 0.7645100894528812, "eval_f1": 0.7836391437308868, "eval_loss": 0.3780820667743683, "eval_precision": 0.7384726224783862, "eval_recall": 0.8346905537459284, "eval_runtime": 71.3682, "eval_samples_per_second": 134.71, "eval_steps_per_second": 8.421, "step": 15000 }, { "epoch": 2.9585798816568047, "grad_norm": 18.237754821777344, "learning_rate": 1.8934911242603548e-06, "loss": 0.4026, "step": 16000 }, { "epoch": 2.9585798816568047, "eval_accuracy": 0.7601414603702933, "eval_f1": 0.8055649241146712, "eval_loss": 0.3755676746368408, "eval_precision": 0.6875359815774323, "eval_recall": 0.9725162866449512, "eval_runtime": 71.4592, "eval_samples_per_second": 134.538, "eval_steps_per_second": 8.41, "step": 16000 }, { "epoch": 3.143491124260355, "grad_norm": 7.552541255950928, "learning_rate": 1.8729454306377385e-06, "loss": 0.3895, "step": 17000 }, { "epoch": 3.143491124260355, "eval_accuracy": 0.7738714374869982, "eval_f1": 0.7812877263581489, "eval_loss": 0.3771662712097168, "eval_precision": 0.7722752585521082, "eval_recall": 0.7905130293159609, "eval_runtime": 71.6042, "eval_samples_per_second": 134.266, "eval_steps_per_second": 8.393, "step": 17000 }, { "epoch": 3.328402366863905, "grad_norm": 22.454090118408203, "learning_rate": 1.8523997370151217e-06, "loss": 0.3916, "step": 18000 }, { "epoch": 3.328402366863905, "eval_accuracy": 0.7645100894528812, "eval_f1": 0.7874178403755868, "eval_loss": 0.3725959360599518, "eval_precision": 0.7307424189613105, "eval_recall": 0.8536237785016286, "eval_runtime": 71.5401, "eval_samples_per_second": 134.386, "eval_steps_per_second": 8.401, "step": 18000 }, { "epoch": 3.5133136094674557, "grad_norm": 8.693994522094727, "learning_rate": 1.831854043392505e-06, "loss": 0.3882, "step": 19000 }, { "epoch": 3.5133136094674557, "eval_accuracy": 0.7733513625962138, "eval_f1": 0.8056026407351236, "eval_loss": 0.3690403401851654, "eval_precision": 0.717008099094807, "eval_recall": 0.9191775244299675, "eval_runtime": 71.609, "eval_samples_per_second": 134.257, "eval_steps_per_second": 8.393, "step": 19000 }, { "epoch": 3.698224852071006, "grad_norm": 5.8600358963012695, "learning_rate": 1.8113083497698882e-06, "loss": 0.3901, "step": 20000 }, { "epoch": 3.698224852071006, "eval_accuracy": 0.783960890368213, "eval_f1": 0.780188379722722, "eval_loss": 0.3576684594154358, "eval_precision": 0.8124311218867093, "eval_recall": 0.7504071661237784, "eval_runtime": 71.3088, "eval_samples_per_second": 134.822, "eval_steps_per_second": 8.428, "step": 20000 }, { "epoch": 3.883136094674556, "grad_norm": 19.961711883544922, "learning_rate": 1.7907626561472714e-06, "loss": 0.3776, "step": 21000 }, { "epoch": 3.883136094674556, "eval_accuracy": 0.7951945080091534, "eval_f1": 0.8153081324453616, "eval_loss": 0.3502472937107086, "eval_precision": 0.7559575578361454, "eval_recall": 0.884771986970684, "eval_runtime": 71.2812, "eval_samples_per_second": 134.874, "eval_steps_per_second": 8.431, "step": 21000 }, { "epoch": 4.068047337278107, "grad_norm": 5.484897136688232, "learning_rate": 1.7702169625246549e-06, "loss": 0.3687, "step": 22000 }, { "epoch": 4.068047337278107, "eval_accuracy": 0.7998751820262118, "eval_f1": 0.8182848507744617, "eval_loss": 0.34667038917541504, "eval_precision": 0.7632135306553911, "eval_recall": 0.8819218241042345, "eval_runtime": 71.5944, "eval_samples_per_second": 134.284, "eval_steps_per_second": 8.395, "step": 22000 }, { "epoch": 4.252958579881657, "grad_norm": 14.385085105895996, "learning_rate": 1.7496712689020381e-06, "loss": 0.354, "step": 23000 }, { "epoch": 4.252958579881657, "eval_accuracy": 0.8051799459122113, "eval_f1": 0.8130178696216432, "eval_loss": 0.3367505669593811, "eval_precision": 0.7976493633692459, "eval_recall": 0.8289902280130294, "eval_runtime": 71.182, "eval_samples_per_second": 135.062, "eval_steps_per_second": 8.443, "step": 23000 }, { "epoch": 4.437869822485207, "grad_norm": 7.935754776000977, "learning_rate": 1.7291255752794214e-06, "loss": 0.3498, "step": 24000 }, { "epoch": 4.437869822485207, "eval_accuracy": 0.8109007697108384, "eval_f1": 0.8206039076376554, "eval_loss": 0.33399322628974915, "eval_precision": 0.7962466487935657, "eval_recall": 0.8464983713355049, "eval_runtime": 71.7203, "eval_samples_per_second": 134.048, "eval_steps_per_second": 8.38, "step": 24000 }, { "epoch": 4.622781065088757, "grad_norm": 5.013232707977295, "learning_rate": 1.7085798816568046e-06, "loss": 0.349, "step": 25000 }, { "epoch": 4.622781065088757, "eval_accuracy": 0.8079883503224464, "eval_f1": 0.8264058679706602, "eval_loss": 0.3555152416229248, "eval_precision": 0.7679133170220203, "eval_recall": 0.8945439739413681, "eval_runtime": 71.3751, "eval_samples_per_second": 134.697, "eval_steps_per_second": 8.42, "step": 25000 }, { "epoch": 4.8076923076923075, "grad_norm": 15.721752166748047, "learning_rate": 1.688034188034188e-06, "loss": 0.3341, "step": 26000 }, { "epoch": 4.8076923076923075, "eval_accuracy": 0.8115248595797795, "eval_f1": 0.8270662340141248, "eval_loss": 0.3554248809814453, "eval_precision": 0.7784764642472153, "eval_recall": 0.8821254071661238, "eval_runtime": 71.5461, "eval_samples_per_second": 134.375, "eval_steps_per_second": 8.4, "step": 26000 }, { "epoch": 4.992603550295858, "grad_norm": 21.64997100830078, "learning_rate": 1.6674884944115713e-06, "loss": 0.3348, "step": 27000 }, { "epoch": 4.992603550295858, "eval_accuracy": 0.819742042854171, "eval_f1": 0.8303807379857101, "eval_loss": 0.3212674856185913, "eval_precision": 0.7996229971724788, "eval_recall": 0.863599348534202, "eval_runtime": 71.2415, "eval_samples_per_second": 134.949, "eval_steps_per_second": 8.436, "step": 27000 }, { "epoch": 5.177514792899408, "grad_norm": 15.086274147033691, "learning_rate": 1.6469428007889545e-06, "loss": 0.3122, "step": 28000 }, { "epoch": 5.177514792899408, "eval_accuracy": 0.8222384023299355, "eval_f1": 0.8343510710477852, "eval_loss": 0.3286217749118805, "eval_precision": 0.7962997224791859, "eval_recall": 0.8762214983713354, "eval_runtime": 71.5509, "eval_samples_per_second": 134.366, "eval_steps_per_second": 8.4, "step": 28000 }, { "epoch": 5.362426035502959, "grad_norm": 8.424311637878418, "learning_rate": 1.6263971071663378e-06, "loss": 0.3024, "step": 29000 }, { "epoch": 5.362426035502959, "eval_accuracy": 0.8286873309756605, "eval_f1": 0.835019533206451, "eval_loss": 0.32026207447052, "eval_precision": 0.8219286136856636, "eval_recall": 0.8485342019543974, "eval_runtime": 71.2045, "eval_samples_per_second": 135.02, "eval_steps_per_second": 8.44, "step": 29000 }, { "epoch": 5.547337278106509, "grad_norm": 31.459623336791992, "learning_rate": 1.605851413543721e-06, "loss": 0.3023, "step": 30000 }, { "epoch": 5.547337278106509, "eval_accuracy": 0.829831495735386, "eval_f1": 0.8446638815039879, "eval_loss": 0.32447922229766846, "eval_precision": 0.7914590747330961, "eval_recall": 0.9055374592833876, "eval_runtime": 71.4681, "eval_samples_per_second": 134.522, "eval_steps_per_second": 8.409, "step": 30000 }, { "epoch": 5.732248520710059, "grad_norm": 6.890359878540039, "learning_rate": 1.5853057199211045e-06, "loss": 0.3049, "step": 31000 }, { "epoch": 5.732248520710059, "eval_accuracy": 0.832639900145621, "eval_f1": 0.8481072406306052, "eval_loss": 0.31333744525909424, "eval_precision": 0.7907058616440767, "eval_recall": 0.9144951140065146, "eval_runtime": 71.3131, "eval_samples_per_second": 134.814, "eval_steps_per_second": 8.428, "step": 31000 }, { "epoch": 5.9171597633136095, "grad_norm": 23.060514450073242, "learning_rate": 1.5647600262984877e-06, "loss": 0.3039, "step": 32000 }, { "epoch": 5.9171597633136095, "eval_accuracy": 0.8346161847306012, "eval_f1": 0.8510957108072673, "eval_loss": 0.29815933108329773, "eval_precision": 0.78806798473812, "eval_recall": 0.9250814332247557, "eval_runtime": 71.51, "eval_samples_per_second": 134.443, "eval_steps_per_second": 8.404, "step": 32000 }, { "epoch": 6.10207100591716, "grad_norm": 13.75260066986084, "learning_rate": 1.544214332675871e-06, "loss": 0.2884, "step": 33000 }, { "epoch": 6.10207100591716, "eval_accuracy": 0.8325358851674641, "eval_f1": 0.8447743925954493, "eval_loss": 0.3285083770751953, "eval_precision": 0.8023809523809524, "eval_recall": 0.8918973941368078, "eval_runtime": 71.4708, "eval_samples_per_second": 134.516, "eval_steps_per_second": 8.409, "step": 33000 }, { "epoch": 6.28698224852071, "grad_norm": 9.07077407836914, "learning_rate": 1.5236686390532542e-06, "loss": 0.2803, "step": 34000 }, { "epoch": 6.28698224852071, "eval_accuracy": 0.8398169336384439, "eval_f1": 0.849078792630341, "eval_loss": 0.30692258477211, "eval_precision": 0.81859410430839, "eval_recall": 0.8819218241042345, "eval_runtime": 71.54, "eval_samples_per_second": 134.386, "eval_steps_per_second": 8.401, "step": 34000 }, { "epoch": 6.47189349112426, "grad_norm": 31.427412033081055, "learning_rate": 1.5031229454306379e-06, "loss": 0.2731, "step": 35000 }, { "epoch": 6.47189349112426, "eval_accuracy": 0.8372165591845225, "eval_f1": 0.8451261751608115, "eval_loss": 0.3197310268878937, "eval_precision": 0.822260735605623, "eval_recall": 0.869299674267101, "eval_runtime": 71.1627, "eval_samples_per_second": 135.099, "eval_steps_per_second": 8.445, "step": 35000 }, { "epoch": 6.65680473372781, "grad_norm": 18.06778335571289, "learning_rate": 1.4825772518080211e-06, "loss": 0.2717, "step": 36000 }, { "epoch": 6.65680473372781, "eval_accuracy": 0.8398169336384439, "eval_f1": 0.8547717842323651, "eval_loss": 0.29738789796829224, "eval_precision": 0.7962052002810963, "eval_recall": 0.9226384364820847, "eval_runtime": 71.4155, "eval_samples_per_second": 134.621, "eval_steps_per_second": 8.416, "step": 36000 }, { "epoch": 6.841715976331361, "grad_norm": 10.752886772155762, "learning_rate": 1.4620315581854044e-06, "loss": 0.2764, "step": 37000 }, { "epoch": 6.841715976331361, "eval_accuracy": 0.8452257125026004, "eval_f1": 0.8565644881434356, "eval_loss": 0.2894780933856964, "eval_precision": 0.8134383009886489, "eval_recall": 0.9045195439739414, "eval_runtime": 71.1003, "eval_samples_per_second": 135.218, "eval_steps_per_second": 8.453, "step": 37000 }, { "epoch": 7.0266272189349115, "grad_norm": 9.670276641845703, "learning_rate": 1.4414858645627876e-06, "loss": 0.2689, "step": 38000 }, { "epoch": 7.0266272189349115, "eval_accuracy": 0.8449136675681298, "eval_f1": 0.8576882695428081, "eval_loss": 0.30610039830207825, "eval_precision": 0.8073674752920036, "eval_recall": 0.9146986970684039, "eval_runtime": 71.4568, "eval_samples_per_second": 134.543, "eval_steps_per_second": 8.411, "step": 38000 }, { "epoch": 7.211538461538462, "grad_norm": 24.961204528808594, "learning_rate": 1.4209401709401708e-06, "loss": 0.256, "step": 39000 }, { "epoch": 7.211538461538462, "eval_accuracy": 0.8429373829831496, "eval_f1": 0.8588785046728972, "eval_loss": 0.3088281452655792, "eval_precision": 0.7938838977194195, "eval_recall": 0.9354641693811075, "eval_runtime": 71.3164, "eval_samples_per_second": 134.808, "eval_steps_per_second": 8.427, "step": 39000 }, { "epoch": 7.396449704142012, "grad_norm": 11.780752182006836, "learning_rate": 1.4003944773175543e-06, "loss": 0.2584, "step": 40000 }, { "epoch": 7.396449704142012, "eval_accuracy": 0.8485541918036197, "eval_f1": 0.858448376433988, "eval_loss": 0.28954440355300903, "eval_precision": 0.8215481950130257, "eval_recall": 0.8988192182410424, "eval_runtime": 72.3859, "eval_samples_per_second": 132.816, "eval_steps_per_second": 8.303, "step": 40000 }, { "epoch": 7.581360946745562, "grad_norm": 5.480474472045898, "learning_rate": 1.3798487836949375e-06, "loss": 0.2559, "step": 41000 }, { "epoch": 7.581360946745562, "eval_accuracy": 0.8439775327647181, "eval_f1": 0.8532002348796242, "eval_loss": 0.3007795214653015, "eval_precision": 0.8215228043724085, "eval_recall": 0.8874185667752443, "eval_runtime": 71.4351, "eval_samples_per_second": 134.584, "eval_steps_per_second": 8.413, "step": 41000 }, { "epoch": 7.766272189349112, "grad_norm": 35.79705047607422, "learning_rate": 1.3593030900723208e-06, "loss": 0.2583, "step": 42000 }, { "epoch": 7.766272189349112, "eval_accuracy": 0.8460578323278553, "eval_f1": 0.8545597484276729, "eval_loss": 0.30222100019454956, "eval_precision": 0.8259878419452887, "eval_recall": 0.8851791530944625, "eval_runtime": 71.1634, "eval_samples_per_second": 135.098, "eval_steps_per_second": 8.445, "step": 42000 }, { "epoch": 7.951183431952662, "grad_norm": 7.736880779266357, "learning_rate": 1.338757396449704e-06, "loss": 0.2572, "step": 43000 }, { "epoch": 7.951183431952662, "eval_accuracy": 0.8488662367380903, "eval_f1": 0.8615003336192927, "eval_loss": 0.29688963294029236, "eval_precision": 0.8100017924359204, "eval_recall": 0.9199918566775245, "eval_runtime": 71.4477, "eval_samples_per_second": 134.56, "eval_steps_per_second": 8.412, "step": 43000 }, { "epoch": 8.136094674556213, "grad_norm": 31.98334503173828, "learning_rate": 1.3182117028270875e-06, "loss": 0.25, "step": 44000 }, { "epoch": 8.136094674556213, "eval_accuracy": 0.8475140420220512, "eval_f1": 0.8559072144682524, "eval_loss": 0.2971686124801636, "eval_precision": 0.8274420372481947, "eval_recall": 0.886400651465798, "eval_runtime": 71.3134, "eval_samples_per_second": 134.813, "eval_steps_per_second": 8.428, "step": 44000 }, { "epoch": 8.321005917159763, "grad_norm": 15.46840763092041, "learning_rate": 1.2976660092044707e-06, "loss": 0.2384, "step": 45000 }, { "epoch": 8.321005917159763, "eval_accuracy": 0.8495943415851883, "eval_f1": 0.8559760956175299, "eval_loss": 0.29278796911239624, "eval_precision": 0.8379485179407177, "eval_recall": 0.8747964169381107, "eval_runtime": 71.4398, "eval_samples_per_second": 134.575, "eval_steps_per_second": 8.413, "step": 45000 }, { "epoch": 8.505917159763314, "grad_norm": 9.12899112701416, "learning_rate": 1.277120315581854e-06, "loss": 0.2408, "step": 46000 }, { "epoch": 8.505917159763314, "eval_accuracy": 0.8494903266070314, "eval_f1": 0.8632454399395142, "eval_loss": 0.3010319471359253, "eval_precision": 0.8056094549303228, "eval_recall": 0.9297638436482085, "eval_runtime": 71.1731, "eval_samples_per_second": 135.079, "eval_steps_per_second": 8.444, "step": 46000 }, { "epoch": 8.690828402366863, "grad_norm": 6.4189934730529785, "learning_rate": 1.2565746219592372e-06, "loss": 0.251, "step": 47000 }, { "epoch": 8.690828402366863, "eval_accuracy": 0.853338880798835, "eval_f1": 0.8613569321533924, "eval_loss": 0.2985897958278656, "eval_precision": 0.8330163560289083, "eval_recall": 0.8916938110749185, "eval_runtime": 71.3021, "eval_samples_per_second": 134.835, "eval_steps_per_second": 8.429, "step": 47000 }, { "epoch": 8.875739644970414, "grad_norm": 28.648107528686523, "learning_rate": 1.2360289283366204e-06, "loss": 0.2436, "step": 48000 }, { "epoch": 8.875739644970414, "eval_accuracy": 0.8517786561264822, "eval_f1": 0.8599783826274934, "eval_loss": 0.29831263422966003, "eval_precision": 0.8311490978157645, "eval_recall": 0.8908794788273615, "eval_runtime": 71.1941, "eval_samples_per_second": 135.039, "eval_steps_per_second": 8.442, "step": 48000 }, { "epoch": 9.060650887573965, "grad_norm": 15.021607398986816, "learning_rate": 1.2154832347140039e-06, "loss": 0.2386, "step": 49000 }, { "epoch": 9.060650887573965, "eval_accuracy": 0.8550031204493447, "eval_f1": 0.864870104691741, "eval_loss": 0.30714085698127747, "eval_precision": 0.825499629903775, "eval_recall": 0.9081840390879479, "eval_runtime": 71.3285, "eval_samples_per_second": 134.785, "eval_steps_per_second": 8.426, "step": 49000 }, { "epoch": 9.245562130177515, "grad_norm": 16.410472869873047, "learning_rate": 1.1949375410913871e-06, "loss": 0.2245, "step": 50000 }, { "epoch": 9.245562130177515, "eval_accuracy": 0.8564593301435407, "eval_f1": 0.8665893271461717, "eval_loss": 0.2869988977909088, "eval_precision": 0.8251104565537555, "eval_recall": 0.9124592833876222, "eval_runtime": 71.7556, "eval_samples_per_second": 133.983, "eval_steps_per_second": 8.376, "step": 50000 }, { "epoch": 9.430473372781066, "grad_norm": 3.089381694793701, "learning_rate": 1.1743918474687704e-06, "loss": 0.2318, "step": 51000 }, { "epoch": 9.430473372781066, "eval_accuracy": 0.8566673600998543, "eval_f1": 0.8679570716749713, "eval_loss": 0.2949957549571991, "eval_precision": 0.8198769007965243, "eval_recall": 0.9220276872964169, "eval_runtime": 71.3514, "eval_samples_per_second": 134.742, "eval_steps_per_second": 8.423, "step": 51000 }, { "epoch": 9.615384615384615, "grad_norm": 19.565244674682617, "learning_rate": 1.1538461538461536e-06, "loss": 0.2348, "step": 52000 }, { "epoch": 9.615384615384615, "eval_accuracy": 0.8584356147285209, "eval_f1": 0.8695485478769289, "eval_loss": 0.30221354961395264, "eval_precision": 0.8215902916138381, "eval_recall": 0.9234527687296417, "eval_runtime": 71.2576, "eval_samples_per_second": 134.919, "eval_steps_per_second": 8.434, "step": 52000 }, { "epoch": 9.800295857988166, "grad_norm": 6.412939548492432, "learning_rate": 1.1333004602235373e-06, "loss": 0.2356, "step": 53000 }, { "epoch": 9.800295857988166, "eval_accuracy": 0.8553151653838152, "eval_f1": 0.8600744391912283, "eval_loss": 0.2939301133155823, "eval_precision": 0.8500695963412209, "eval_recall": 0.8703175895765473, "eval_runtime": 71.2887, "eval_samples_per_second": 134.86, "eval_steps_per_second": 8.431, "step": 53000 }, { "epoch": 9.985207100591715, "grad_norm": 24.278528213500977, "learning_rate": 1.1127547666009205e-06, "loss": 0.2274, "step": 54000 }, { "epoch": 9.985207100591715, "eval_accuracy": 0.8551071354275016, "eval_f1": 0.8684732319894249, "eval_loss": 0.31603407859802246, "eval_precision": 0.8098256735340729, "eval_recall": 0.9362785016286646, "eval_runtime": 71.2443, "eval_samples_per_second": 134.944, "eval_steps_per_second": 8.436, "step": 54000 }, { "epoch": 10.170118343195266, "grad_norm": 7.386682987213135, "learning_rate": 1.0922090729783038e-06, "loss": 0.2226, "step": 55000 }, { "epoch": 10.170118343195266, "eval_accuracy": 0.8546910755148741, "eval_f1": 0.8655567317871234, "eval_loss": 0.3250740170478821, "eval_precision": 0.8207702135426173, "eval_recall": 0.9155130293159609, "eval_runtime": 71.3288, "eval_samples_per_second": 134.784, "eval_steps_per_second": 8.426, "step": 55000 }, { "epoch": 10.355029585798816, "grad_norm": 26.67705535888672, "learning_rate": 1.071663379355687e-06, "loss": 0.225, "step": 56000 }, { "epoch": 10.355029585798816, "eval_accuracy": 0.8517786561264822, "eval_f1": 0.8643503093764874, "eval_loss": 0.3132619559764862, "eval_precision": 0.8117289468979081, "eval_recall": 0.9242671009771987, "eval_runtime": 71.3488, "eval_samples_per_second": 134.746, "eval_steps_per_second": 8.423, "step": 56000 }, { "epoch": 10.539940828402367, "grad_norm": 6.816524028778076, "learning_rate": 1.0511176857330705e-06, "loss": 0.2257, "step": 57000 }, { "epoch": 10.539940828402367, "eval_accuracy": 0.8545870605367173, "eval_f1": 0.8601720344068814, "eval_loss": 0.30009618401527405, "eval_precision": 0.8454581203303185, "eval_recall": 0.8754071661237784, "eval_runtime": 71.2356, "eval_samples_per_second": 134.961, "eval_steps_per_second": 8.437, "step": 57000 }, { "epoch": 10.724852071005918, "grad_norm": 20.463912963867188, "learning_rate": 1.0305719921104537e-06, "loss": 0.2199, "step": 58000 }, { "epoch": 10.724852071005918, "eval_accuracy": 0.8569794050343249, "eval_f1": 0.8605900841528946, "eval_loss": 0.3028598725795746, "eval_precision": 0.8572005655423147, "eval_recall": 0.8640065146579805, "eval_runtime": 71.2275, "eval_samples_per_second": 134.976, "eval_steps_per_second": 8.438, "step": 58000 }, { "epoch": 10.909763313609467, "grad_norm": 2.745788335800171, "learning_rate": 1.010026298487837e-06, "loss": 0.2235, "step": 59000 }, { "epoch": 10.909763313609467, "eval_accuracy": 0.8582275847722072, "eval_f1": 0.8604484488584008, "eval_loss": 0.3084582984447479, "eval_precision": 0.8654994850669413, "eval_recall": 0.8554560260586319, "eval_runtime": 71.3104, "eval_samples_per_second": 134.819, "eval_steps_per_second": 8.428, "step": 59000 }, { "epoch": 11.094674556213018, "grad_norm": 34.805477142333984, "learning_rate": 9.894806048652202e-07, "loss": 0.2149, "step": 60000 }, { "epoch": 11.094674556213018, "eval_accuracy": 0.856251300187227, "eval_f1": 0.8660073686251697, "eval_loss": 0.3204440772533417, "eval_precision": 0.8267308404294705, "eval_recall": 0.9092019543973942, "eval_runtime": 71.3919, "eval_samples_per_second": 134.665, "eval_steps_per_second": 8.418, "step": 60000 }, { "epoch": 11.279585798816568, "grad_norm": 0.9099503755569458, "learning_rate": 9.689349112426034e-07, "loss": 0.2105, "step": 61000 }, { "epoch": 11.279585798816568, "eval_accuracy": 0.8560432702309132, "eval_f1": 0.8661249758173728, "eval_loss": 0.3223714828491211, "eval_precision": 0.8251013638039071, "eval_recall": 0.9114413680781759, "eval_runtime": 71.3086, "eval_samples_per_second": 134.822, "eval_steps_per_second": 8.428, "step": 61000 }, { "epoch": 11.464497041420119, "grad_norm": 44.76268005371094, "learning_rate": 9.483892176199868e-07, "loss": 0.2196, "step": 62000 }, { "epoch": 11.464497041420119, "eval_accuracy": 0.853338880798835, "eval_f1": 0.8583199356913184, "eval_loss": 0.3199668824672699, "eval_precision": 0.8474206349206349, "eval_recall": 0.8695032573289903, "eval_runtime": 71.2065, "eval_samples_per_second": 135.016, "eval_steps_per_second": 8.44, "step": 62000 }, { "epoch": 11.649408284023668, "grad_norm": 5.310791969299316, "learning_rate": 9.278435239973701e-07, "loss": 0.2112, "step": 63000 }, { "epoch": 11.649408284023668, "eval_accuracy": 0.8580195548158935, "eval_f1": 0.8656363815336156, "eval_loss": 0.3171244263648987, "eval_precision": 0.8380026681913474, "eval_recall": 0.8951547231270358, "eval_runtime": 71.347, "eval_samples_per_second": 134.75, "eval_steps_per_second": 8.424, "step": 63000 }, { "epoch": 11.834319526627219, "grad_norm": 23.944461822509766, "learning_rate": 9.072978303747534e-07, "loss": 0.2157, "step": 64000 }, { "epoch": 11.834319526627219, "eval_accuracy": 0.857707509881423, "eval_f1": 0.8635275339185954, "eval_loss": 0.3211972117424011, "eval_precision": 0.8466353677621283, "eval_recall": 0.8811074918566775, "eval_runtime": 71.2358, "eval_samples_per_second": 134.96, "eval_steps_per_second": 8.437, "step": 64000 }, { "epoch": 12.01923076923077, "grad_norm": 10.31908893585205, "learning_rate": 8.867521367521367e-07, "loss": 0.2221, "step": 65000 }, { "epoch": 12.01923076923077, "eval_accuracy": 0.8616600790513834, "eval_f1": 0.8634777253130774, "eval_loss": 0.3090285360813141, "eval_precision": 0.8708074534161491, "eval_recall": 0.8562703583061889, "eval_runtime": 71.285, "eval_samples_per_second": 134.867, "eval_steps_per_second": 8.431, "step": 65000 }, { "epoch": 12.20414201183432, "grad_norm": 10.808996200561523, "learning_rate": 8.6620644312952e-07, "loss": 0.2122, "step": 66000 }, { "epoch": 12.20414201183432, "eval_accuracy": 0.8554191803619722, "eval_f1": 0.8607214428857716, "eval_loss": 0.32709065079689026, "eval_precision": 0.8474743488555643, "eval_recall": 0.8743892508143323, "eval_runtime": 71.3543, "eval_samples_per_second": 134.736, "eval_steps_per_second": 8.423, "step": 66000 }, { "epoch": 12.38905325443787, "grad_norm": 36.5963020324707, "learning_rate": 8.456607495069034e-07, "loss": 0.2087, "step": 67000 }, { "epoch": 12.38905325443787, "eval_accuracy": 0.8594757645100894, "eval_f1": 0.8617619973396091, "eval_loss": 0.31520143151283264, "eval_precision": 0.8662826578893232, "eval_recall": 0.8572882736156352, "eval_runtime": 71.4929, "eval_samples_per_second": 134.475, "eval_steps_per_second": 8.406, "step": 67000 }, { "epoch": 12.57396449704142, "grad_norm": 69.17304229736328, "learning_rate": 8.251150558842866e-07, "loss": 0.2053, "step": 68000 }, { "epoch": 12.57396449704142, "eval_accuracy": 0.857603494903266, "eval_f1": 0.8651630060080764, "eval_loss": 0.32987838983535767, "eval_precision": 0.8380080137378363, "eval_recall": 0.8941368078175895, "eval_runtime": 71.5274, "eval_samples_per_second": 134.41, "eval_steps_per_second": 8.402, "step": 68000 }, { "epoch": 12.75887573964497, "grad_norm": 22.708887100219727, "learning_rate": 8.045693622616699e-07, "loss": 0.2124, "step": 69000 }, { "epoch": 12.75887573964497, "eval_accuracy": 0.8570834200124818, "eval_f1": 0.8667054714784633, "eval_loss": 0.33354252576828003, "eval_precision": 0.8278354336545589, "eval_recall": 0.9094055374592834, "eval_runtime": 71.3908, "eval_samples_per_second": 134.667, "eval_steps_per_second": 8.418, "step": 69000 }, { "epoch": 12.94378698224852, "grad_norm": 20.74620246887207, "learning_rate": 7.840236686390532e-07, "loss": 0.2086, "step": 70000 }, { "epoch": 12.94378698224852, "eval_accuracy": 0.8591637195756189, "eval_f1": 0.8646, "eval_loss": 0.32121601700782776, "eval_precision": 0.8496462264150944, "eval_recall": 0.8800895765472313, "eval_runtime": 71.264, "eval_samples_per_second": 134.907, "eval_steps_per_second": 8.433, "step": 70000 }, { "epoch": 13.128698224852071, "grad_norm": 191.69613647460938, "learning_rate": 7.634779750164365e-07, "loss": 0.2016, "step": 71000 }, { "epoch": 13.128698224852071, "eval_accuracy": 0.8614520490950697, "eval_f1": 0.8714781937475878, "eval_loss": 0.32725852727890015, "eval_precision": 0.8283198826118855, "eval_recall": 0.9193811074918566, "eval_runtime": 71.3109, "eval_samples_per_second": 134.818, "eval_steps_per_second": 8.428, "step": 71000 }, { "epoch": 13.31360946745562, "grad_norm": 9.116983413696289, "learning_rate": 7.429322813938198e-07, "loss": 0.2026, "step": 72000 }, { "epoch": 13.31360946745562, "eval_accuracy": 0.8582275847722072, "eval_f1": 0.8682455292411793, "eval_loss": 0.3508372902870178, "eval_precision": 0.8266151297625621, "eval_recall": 0.9142915309446255, "eval_runtime": 71.2132, "eval_samples_per_second": 135.003, "eval_steps_per_second": 8.439, "step": 72000 }, { "epoch": 13.498520710059172, "grad_norm": 4.702348232269287, "learning_rate": 7.223865877712031e-07, "loss": 0.2006, "step": 73000 }, { "epoch": 13.498520710059172, "eval_accuracy": 0.8582275847722072, "eval_f1": 0.8654624420096733, "eval_loss": 0.34033337235450745, "eval_precision": 0.8400076643035064, "eval_recall": 0.8925081433224755, "eval_runtime": 71.1462, "eval_samples_per_second": 135.13, "eval_steps_per_second": 8.447, "step": 73000 }, { "epoch": 13.683431952662723, "grad_norm": 29.501680374145508, "learning_rate": 7.018408941485864e-07, "loss": 0.2064, "step": 74000 }, { "epoch": 13.683431952662723, "eval_accuracy": 0.8606199292698149, "eval_f1": 0.863876472978464, "eval_loss": 0.3424365222454071, "eval_precision": 0.862124898621249, "eval_recall": 0.8656351791530945, "eval_runtime": 71.1345, "eval_samples_per_second": 135.152, "eval_steps_per_second": 8.449, "step": 74000 }, { "epoch": 13.868343195266272, "grad_norm": 2.9182920455932617, "learning_rate": 6.812952005259697e-07, "loss": 0.2071, "step": 75000 }, { "epoch": 13.868343195266272, "eval_accuracy": 0.8584356147285209, "eval_f1": 0.8673101296675441, "eval_loss": 0.33476874232292175, "eval_precision": 0.832179607109448, "eval_recall": 0.9055374592833876, "eval_runtime": 71.1759, "eval_samples_per_second": 135.074, "eval_steps_per_second": 8.444, "step": 75000 }, { "epoch": 14.053254437869823, "grad_norm": 27.45977020263672, "learning_rate": 6.607495069033531e-07, "loss": 0.1996, "step": 76000 }, { "epoch": 14.053254437869823, "eval_accuracy": 0.8590597045974621, "eval_f1": 0.86776617546599, "eval_loss": 0.32783225178718567, "eval_precision": 0.8333645735707591, "eval_recall": 0.9051302931596091, "eval_runtime": 71.2136, "eval_samples_per_second": 135.002, "eval_steps_per_second": 8.439, "step": 76000 }, { "epoch": 14.238165680473372, "grad_norm": 28.44346046447754, "learning_rate": 6.402038132807364e-07, "loss": 0.1946, "step": 77000 }, { "epoch": 14.238165680473372, "eval_accuracy": 0.8610359891824423, "eval_f1": 0.8730279414559969, "eval_loss": 0.33918145298957825, "eval_precision": 0.818716577540107, "eval_recall": 0.935057003257329, "eval_runtime": 71.1883, "eval_samples_per_second": 135.05, "eval_steps_per_second": 8.442, "step": 77000 } ], "logging_steps": 1000, "max_steps": 108160, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 1000, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 2.5466830173511814e+17, "train_batch_size": 16, "trial_name": null, "trial_params": null }