{ "best_metric": 0.1198035180568695, "best_model_checkpoint": "DinoVdeauTest-large-2024_09_24-batch-size32_freeze/checkpoint-26208", "epoch": 106.0, "eval_steps": 500, "global_step": 28938, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.2169092169092169, "eval_f1_macro": 0.5520222156367808, "eval_f1_micro": 0.7485599799649386, "eval_loss": 0.17755262553691864, "eval_runtime": 583.8306, "eval_samples_per_second": 4.943, "eval_steps_per_second": 0.156, "learning_rate": 0.001, "step": 273 }, { "epoch": 1.8315018315018317, "grad_norm": 0.2782972455024719, "learning_rate": 0.001, "loss": 0.2736, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.24047124047124047, "eval_f1_macro": 0.5698350844395493, "eval_f1_micro": 0.7693301744561706, "eval_loss": 0.15282750129699707, "eval_runtime": 589.1224, "eval_samples_per_second": 4.899, "eval_steps_per_second": 0.154, "learning_rate": 0.001, "step": 546 }, { "epoch": 3.0, "eval_accuracy": 0.2494802494802495, "eval_f1_macro": 0.6216984689952817, "eval_f1_micro": 0.7773639211038686, "eval_loss": 0.14834792912006378, "eval_runtime": 584.7179, "eval_samples_per_second": 4.936, "eval_steps_per_second": 0.156, "learning_rate": 0.001, "step": 819 }, { "epoch": 3.663003663003663, "grad_norm": 0.260547012090683, "learning_rate": 0.001, "loss": 0.1699, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.2553707553707554, "eval_f1_macro": 0.6272242063327677, "eval_f1_micro": 0.777158535539741, "eval_loss": 0.1467081755399704, "eval_runtime": 581.5001, "eval_samples_per_second": 4.963, "eval_steps_per_second": 0.156, "learning_rate": 0.001, "step": 1092 }, { "epoch": 5.0, "eval_accuracy": 0.24636174636174638, "eval_f1_macro": 0.6281234234815563, "eval_f1_micro": 0.7772219080349763, "eval_loss": 0.1453460305929184, "eval_runtime": 586.5696, "eval_samples_per_second": 4.92, "eval_steps_per_second": 0.155, "learning_rate": 0.001, "step": 1365 }, { "epoch": 5.4945054945054945, "grad_norm": 0.18768520653247833, "learning_rate": 0.001, "loss": 0.1622, "step": 1500 }, { "epoch": 6.0, "eval_accuracy": 0.262993762993763, "eval_f1_macro": 0.6191104313765434, "eval_f1_micro": 0.7809704878364948, "eval_loss": 0.14370940625667572, "eval_runtime": 588.2849, "eval_samples_per_second": 4.906, "eval_steps_per_second": 0.155, "learning_rate": 0.001, "step": 1638 }, { "epoch": 7.0, "eval_accuracy": 0.2598752598752599, "eval_f1_macro": 0.6172423187752968, "eval_f1_micro": 0.7811054928907905, "eval_loss": 0.14275749027729034, "eval_runtime": 590.2652, "eval_samples_per_second": 4.889, "eval_steps_per_second": 0.154, "learning_rate": 0.001, "step": 1911 }, { "epoch": 7.326007326007326, "grad_norm": 0.21249784529209137, "learning_rate": 0.001, "loss": 0.1593, "step": 2000 }, { "epoch": 8.0, "eval_accuracy": 0.25571725571725573, "eval_f1_macro": 0.6252572102986063, "eval_f1_micro": 0.7799277605779154, "eval_loss": 0.1432911604642868, "eval_runtime": 589.0928, "eval_samples_per_second": 4.899, "eval_steps_per_second": 0.154, "learning_rate": 0.001, "step": 2184 }, { "epoch": 9.0, "eval_accuracy": 0.25190575190575193, "eval_f1_macro": 0.6529741984810739, "eval_f1_micro": 0.7892645815722739, "eval_loss": 0.14202255010604858, "eval_runtime": 586.5195, "eval_samples_per_second": 4.921, "eval_steps_per_second": 0.155, "learning_rate": 0.001, "step": 2457 }, { "epoch": 9.157509157509157, "grad_norm": 0.19528812170028687, "learning_rate": 0.001, "loss": 0.1569, "step": 2500 }, { "epoch": 10.0, "eval_accuracy": 0.2553707553707554, "eval_f1_macro": 0.6021759252294137, "eval_f1_micro": 0.7441173839133935, "eval_loss": 0.24619852006435394, "eval_runtime": 594.8068, "eval_samples_per_second": 4.852, "eval_steps_per_second": 0.153, "learning_rate": 0.001, "step": 2730 }, { "epoch": 10.989010989010989, "grad_norm": 0.16383688151836395, "learning_rate": 0.001, "loss": 0.156, "step": 3000 }, { "epoch": 11.0, "eval_accuracy": 0.2702702702702703, "eval_f1_macro": 0.6483450509947135, "eval_f1_micro": 0.7882727742379886, "eval_loss": 0.14001792669296265, "eval_runtime": 585.5736, "eval_samples_per_second": 4.929, "eval_steps_per_second": 0.155, "learning_rate": 0.001, "step": 3003 }, { "epoch": 12.0, "eval_accuracy": 0.2598752598752599, "eval_f1_macro": 0.6590290067827226, "eval_f1_micro": 0.7905884326636748, "eval_loss": 0.13999028503894806, "eval_runtime": 594.5312, "eval_samples_per_second": 4.854, "eval_steps_per_second": 0.153, "learning_rate": 0.001, "step": 3276 }, { "epoch": 12.820512820512821, "grad_norm": 0.164137601852417, "learning_rate": 0.001, "loss": 0.1547, "step": 3500 }, { "epoch": 13.0, "eval_accuracy": 0.2643797643797644, "eval_f1_macro": 0.6466696619852873, "eval_f1_micro": 0.7875647668393783, "eval_loss": 0.13937941193580627, "eval_runtime": 616.229, "eval_samples_per_second": 4.683, "eval_steps_per_second": 0.148, "learning_rate": 0.001, "step": 3549 }, { "epoch": 14.0, "eval_accuracy": 0.26403326403326405, "eval_f1_macro": 0.6469191780902835, "eval_f1_micro": 0.7879462374796679, "eval_loss": 0.13986562192440033, "eval_runtime": 604.9775, "eval_samples_per_second": 4.77, "eval_steps_per_second": 0.15, "learning_rate": 0.001, "step": 3822 }, { "epoch": 14.652014652014651, "grad_norm": 0.17560669779777527, "learning_rate": 0.001, "loss": 0.1543, "step": 4000 }, { "epoch": 15.0, "eval_accuracy": 0.2512127512127512, "eval_f1_macro": 0.6413408300553888, "eval_f1_micro": 0.7881215116526777, "eval_loss": 0.13914281129837036, "eval_runtime": 609.152, "eval_samples_per_second": 4.738, "eval_steps_per_second": 0.149, "learning_rate": 0.001, "step": 4095 }, { "epoch": 16.0, "eval_accuracy": 0.26334026334026334, "eval_f1_macro": 0.6347762053394217, "eval_f1_micro": 0.7906518010291596, "eval_loss": 0.14137022197246552, "eval_runtime": 599.9977, "eval_samples_per_second": 4.81, "eval_steps_per_second": 0.152, "learning_rate": 0.001, "step": 4368 }, { "epoch": 16.483516483516482, "grad_norm": 0.16528823971748352, "learning_rate": 0.001, "loss": 0.1536, "step": 4500 }, { "epoch": 17.0, "eval_accuracy": 0.2616077616077616, "eval_f1_macro": 0.6445091939759507, "eval_f1_micro": 0.7903470350404312, "eval_loss": 0.14031356573104858, "eval_runtime": 579.4575, "eval_samples_per_second": 4.981, "eval_steps_per_second": 0.157, "learning_rate": 0.001, "step": 4641 }, { "epoch": 18.0, "eval_accuracy": 0.26022176022176025, "eval_f1_macro": 0.6463740590949281, "eval_f1_micro": 0.792909822326517, "eval_loss": 0.14039942622184753, "eval_runtime": 586.9618, "eval_samples_per_second": 4.917, "eval_steps_per_second": 0.155, "learning_rate": 0.001, "step": 4914 }, { "epoch": 18.315018315018314, "grad_norm": 0.17777948081493378, "learning_rate": 0.001, "loss": 0.1556, "step": 5000 }, { "epoch": 19.0, "eval_accuracy": 0.25848925848925847, "eval_f1_macro": 0.6526097604635809, "eval_f1_micro": 0.7935513900055008, "eval_loss": 0.14035724103450775, "eval_runtime": 574.4193, "eval_samples_per_second": 5.024, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 5187 }, { "epoch": 20.0, "eval_accuracy": 0.255024255024255, "eval_f1_macro": 0.6491113591903472, "eval_f1_micro": 0.7900462566386842, "eval_loss": 0.1390993297100067, "eval_runtime": 576.4077, "eval_samples_per_second": 5.007, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 5460 }, { "epoch": 20.146520146520146, "grad_norm": 0.14455388486385345, "learning_rate": 0.001, "loss": 0.1534, "step": 5500 }, { "epoch": 21.0, "eval_accuracy": 0.25814275814275817, "eval_f1_macro": 0.6507882842254223, "eval_f1_micro": 0.7916862276471341, "eval_loss": 0.13827534019947052, "eval_runtime": 598.284, "eval_samples_per_second": 4.824, "eval_steps_per_second": 0.152, "learning_rate": 0.001, "step": 5733 }, { "epoch": 21.978021978021978, "grad_norm": 0.1771659553050995, "learning_rate": 0.001, "loss": 0.1533, "step": 6000 }, { "epoch": 22.0, "eval_accuracy": 0.26853776853776856, "eval_f1_macro": 0.6489112697391156, "eval_f1_micro": 0.7935178133197935, "eval_loss": 0.13889800012111664, "eval_runtime": 594.9509, "eval_samples_per_second": 4.851, "eval_steps_per_second": 0.153, "learning_rate": 0.001, "step": 6006 }, { "epoch": 23.0, "eval_accuracy": 0.2560637560637561, "eval_f1_macro": 0.6549504216490796, "eval_f1_micro": 0.7842915050342152, "eval_loss": 0.1385144591331482, "eval_runtime": 583.6881, "eval_samples_per_second": 4.944, "eval_steps_per_second": 0.156, "learning_rate": 0.001, "step": 6279 }, { "epoch": 23.80952380952381, "grad_norm": 0.17443060874938965, "learning_rate": 0.001, "loss": 0.1531, "step": 6500 }, { "epoch": 24.0, "eval_accuracy": 0.2695772695772696, "eval_f1_macro": 0.6507209930045859, "eval_f1_micro": 0.7921174652241113, "eval_loss": 0.13674499094486237, "eval_runtime": 574.2321, "eval_samples_per_second": 5.026, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 6552 }, { "epoch": 25.0, "eval_accuracy": 0.2751212751212751, "eval_f1_macro": 0.6408412361180978, "eval_f1_micro": 0.7893792922444337, "eval_loss": 0.13791973888874054, "eval_runtime": 577.6745, "eval_samples_per_second": 4.996, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 6825 }, { "epoch": 25.641025641025642, "grad_norm": 0.16064241528511047, "learning_rate": 0.001, "loss": 0.1533, "step": 7000 }, { "epoch": 26.0, "eval_accuracy": 0.27096327096327094, "eval_f1_macro": 0.6468889221342444, "eval_f1_micro": 0.7942844956280657, "eval_loss": 0.1375003606081009, "eval_runtime": 576.2047, "eval_samples_per_second": 5.009, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 7098 }, { "epoch": 27.0, "eval_accuracy": 0.2643797643797644, "eval_f1_macro": 0.6516252219978993, "eval_f1_micro": 0.7921208479958802, "eval_loss": 0.13920167088508606, "eval_runtime": 574.3969, "eval_samples_per_second": 5.024, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 7371 }, { "epoch": 27.47252747252747, "grad_norm": 0.15187925100326538, "learning_rate": 0.001, "loss": 0.1529, "step": 7500 }, { "epoch": 28.0, "eval_accuracy": 0.2636867636867637, "eval_f1_macro": 0.6424574000169906, "eval_f1_micro": 0.7917504599717599, "eval_loss": 0.13846370577812195, "eval_runtime": 583.6888, "eval_samples_per_second": 4.944, "eval_steps_per_second": 0.156, "learning_rate": 0.001, "step": 7644 }, { "epoch": 29.0, "eval_accuracy": 0.2626472626472626, "eval_f1_macro": 0.6496760555529415, "eval_f1_micro": 0.7883173722754258, "eval_loss": 0.14017289876937866, "eval_runtime": 569.4194, "eval_samples_per_second": 5.068, "eval_steps_per_second": 0.16, "learning_rate": 0.001, "step": 7917 }, { "epoch": 29.304029304029303, "grad_norm": 0.1429462879896164, "learning_rate": 0.001, "loss": 0.153, "step": 8000 }, { "epoch": 30.0, "eval_accuracy": 0.2668052668052668, "eval_f1_macro": 0.6553418932728605, "eval_f1_micro": 0.788684508761224, "eval_loss": 0.13773277401924133, "eval_runtime": 575.6917, "eval_samples_per_second": 5.013, "eval_steps_per_second": 0.158, "learning_rate": 0.001, "step": 8190 }, { "epoch": 31.0, "eval_accuracy": 0.27893277893277896, "eval_f1_macro": 0.6718196714045327, "eval_f1_micro": 0.8017825006427286, "eval_loss": 0.1312580555677414, "eval_runtime": 580.0807, "eval_samples_per_second": 4.975, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 8463 }, { "epoch": 31.135531135531135, "grad_norm": 0.1542915403842926, "learning_rate": 0.0001, "loss": 0.1486, "step": 8500 }, { "epoch": 32.0, "eval_accuracy": 0.2806652806652807, "eval_f1_macro": 0.6772473958552189, "eval_f1_micro": 0.8060657118786858, "eval_loss": 0.1318267583847046, "eval_runtime": 567.7754, "eval_samples_per_second": 5.083, "eval_steps_per_second": 0.16, "learning_rate": 0.0001, "step": 8736 }, { "epoch": 32.967032967032964, "grad_norm": 0.1691681146621704, "learning_rate": 0.0001, "loss": 0.1415, "step": 9000 }, { "epoch": 33.0, "eval_accuracy": 0.27754677754677753, "eval_f1_macro": 0.6791810095569879, "eval_f1_micro": 0.8050148746281343, "eval_loss": 0.1309264600276947, "eval_runtime": 573.2692, "eval_samples_per_second": 5.034, "eval_steps_per_second": 0.159, "learning_rate": 0.0001, "step": 9009 }, { "epoch": 34.0, "eval_accuracy": 0.28205128205128205, "eval_f1_macro": 0.6774879025186358, "eval_f1_micro": 0.804873906767428, "eval_loss": 0.1296369731426239, "eval_runtime": 573.8273, "eval_samples_per_second": 5.029, "eval_steps_per_second": 0.159, "learning_rate": 0.0001, "step": 9282 }, { "epoch": 34.798534798534796, "grad_norm": 0.16409221291542053, "learning_rate": 0.0001, "loss": 0.1395, "step": 9500 }, { "epoch": 35.0, "eval_accuracy": 0.28932778932778935, "eval_f1_macro": 0.6864816840760736, "eval_f1_micro": 0.8084945013272659, "eval_loss": 0.12816031277179718, "eval_runtime": 577.8146, "eval_samples_per_second": 4.995, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 9555 }, { "epoch": 36.0, "eval_accuracy": 0.2830907830907831, "eval_f1_macro": 0.6827519815644174, "eval_f1_micro": 0.8055151151836945, "eval_loss": 0.12886497378349304, "eval_runtime": 576.0485, "eval_samples_per_second": 5.01, "eval_steps_per_second": 0.158, "learning_rate": 0.0001, "step": 9828 }, { "epoch": 36.63003663003663, "grad_norm": 0.1629299372434616, "learning_rate": 0.0001, "loss": 0.1387, "step": 10000 }, { "epoch": 37.0, "eval_accuracy": 0.2830907830907831, "eval_f1_macro": 0.677476009100308, "eval_f1_micro": 0.8054549328787556, "eval_loss": 0.12768980860710144, "eval_runtime": 578.6622, "eval_samples_per_second": 4.987, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 10101 }, { "epoch": 38.0, "eval_accuracy": 0.288981288981289, "eval_f1_macro": 0.6882635597933275, "eval_f1_micro": 0.8084112149532711, "eval_loss": 0.1274958997964859, "eval_runtime": 583.3399, "eval_samples_per_second": 4.947, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 10374 }, { "epoch": 38.46153846153846, "grad_norm": 0.20412367582321167, "learning_rate": 0.0001, "loss": 0.1354, "step": 10500 }, { "epoch": 39.0, "eval_accuracy": 0.28794178794178793, "eval_f1_macro": 0.6853651532137502, "eval_f1_micro": 0.8099270562589084, "eval_loss": 0.12658803164958954, "eval_runtime": 588.9538, "eval_samples_per_second": 4.9, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 10647 }, { "epoch": 40.0, "eval_accuracy": 0.28863478863478864, "eval_f1_macro": 0.698146081234717, "eval_f1_micro": 0.8117343111925994, "eval_loss": 0.12820227444171906, "eval_runtime": 583.5775, "eval_samples_per_second": 4.945, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 10920 }, { "epoch": 40.29304029304029, "grad_norm": 0.1920085847377777, "learning_rate": 0.0001, "loss": 0.1355, "step": 11000 }, { "epoch": 41.0, "eval_accuracy": 0.2882882882882883, "eval_f1_macro": 0.6850722645729148, "eval_f1_micro": 0.8081688455951466, "eval_loss": 0.12668322026729584, "eval_runtime": 580.9481, "eval_samples_per_second": 4.968, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 11193 }, { "epoch": 42.0, "eval_accuracy": 0.2907137907137907, "eval_f1_macro": 0.6941693850580287, "eval_f1_micro": 0.8112331081081081, "eval_loss": 0.12620903551578522, "eval_runtime": 587.956, "eval_samples_per_second": 4.909, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 11466 }, { "epoch": 42.124542124542124, "grad_norm": 0.20102928578853607, "learning_rate": 0.0001, "loss": 0.1347, "step": 11500 }, { "epoch": 43.0, "eval_accuracy": 0.2910602910602911, "eval_f1_macro": 0.69077693559172, "eval_f1_micro": 0.8107360033550011, "eval_loss": 0.12590545415878296, "eval_runtime": 582.6431, "eval_samples_per_second": 4.953, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 11739 }, { "epoch": 43.956043956043956, "grad_norm": 0.20798929035663605, "learning_rate": 0.0001, "loss": 0.1337, "step": 12000 }, { "epoch": 44.0, "eval_accuracy": 0.29313929313929316, "eval_f1_macro": 0.6925170228864211, "eval_f1_micro": 0.8114530416894076, "eval_loss": 0.12642185389995575, "eval_runtime": 580.9769, "eval_samples_per_second": 4.967, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 12012 }, { "epoch": 45.0, "eval_accuracy": 0.2966042966042966, "eval_f1_macro": 0.6974852591826903, "eval_f1_micro": 0.8110017663386323, "eval_loss": 0.1257808804512024, "eval_runtime": 587.2129, "eval_samples_per_second": 4.915, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 12285 }, { "epoch": 45.78754578754579, "grad_norm": 0.21279653906822205, "learning_rate": 0.0001, "loss": 0.1329, "step": 12500 }, { "epoch": 46.0, "eval_accuracy": 0.2986832986832987, "eval_f1_macro": 0.694112624204446, "eval_f1_micro": 0.8109046268467172, "eval_loss": 0.12542255222797394, "eval_runtime": 584.2715, "eval_samples_per_second": 4.939, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 12558 }, { "epoch": 47.0, "eval_accuracy": 0.2920997920997921, "eval_f1_macro": 0.6937033329875891, "eval_f1_micro": 0.8098117995347853, "eval_loss": 0.1256514936685562, "eval_runtime": 582.8653, "eval_samples_per_second": 4.951, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 12831 }, { "epoch": 47.61904761904762, "grad_norm": 0.19104164838790894, "learning_rate": 0.0001, "loss": 0.1331, "step": 13000 }, { "epoch": 48.0, "eval_accuracy": 0.29140679140679143, "eval_f1_macro": 0.6904792900172609, "eval_f1_micro": 0.8106740862526874, "eval_loss": 0.1253652125597, "eval_runtime": 590.5724, "eval_samples_per_second": 4.887, "eval_steps_per_second": 0.154, "learning_rate": 0.0001, "step": 13104 }, { "epoch": 49.0, "eval_accuracy": 0.2945252945252945, "eval_f1_macro": 0.6973960572840976, "eval_f1_micro": 0.8136526746223817, "eval_loss": 0.1252448409795761, "eval_runtime": 596.869, "eval_samples_per_second": 4.835, "eval_steps_per_second": 0.152, "learning_rate": 0.0001, "step": 13377 }, { "epoch": 49.45054945054945, "grad_norm": 0.25627467036247253, "learning_rate": 0.0001, "loss": 0.1309, "step": 13500 }, { "epoch": 50.0, "eval_accuracy": 0.2983367983367983, "eval_f1_macro": 0.7025806374316313, "eval_f1_micro": 0.814972104255142, "eval_loss": 0.12482810020446777, "eval_runtime": 598.3632, "eval_samples_per_second": 4.823, "eval_steps_per_second": 0.152, "learning_rate": 0.0001, "step": 13650 }, { "epoch": 51.0, "eval_accuracy": 0.2959112959112959, "eval_f1_macro": 0.7066639116616246, "eval_f1_micro": 0.815773054365459, "eval_loss": 0.12458823621273041, "eval_runtime": 578.8177, "eval_samples_per_second": 4.986, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 13923 }, { "epoch": 51.282051282051285, "grad_norm": 0.2170032560825348, "learning_rate": 0.0001, "loss": 0.1304, "step": 14000 }, { "epoch": 52.0, "eval_accuracy": 0.29521829521829523, "eval_f1_macro": 0.7008785276837475, "eval_f1_micro": 0.8120651620566774, "eval_loss": 0.12461517751216888, "eval_runtime": 581.8661, "eval_samples_per_second": 4.96, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 14196 }, { "epoch": 53.0, "eval_accuracy": 0.29902979902979904, "eval_f1_macro": 0.697381421827107, "eval_f1_micro": 0.8142762173840784, "eval_loss": 0.12417320907115936, "eval_runtime": 587.3587, "eval_samples_per_second": 4.914, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 14469 }, { "epoch": 53.11355311355312, "grad_norm": 0.18614046275615692, "learning_rate": 0.0001, "loss": 0.1309, "step": 14500 }, { "epoch": 54.0, "eval_accuracy": 0.2966042966042966, "eval_f1_macro": 0.7000554609843794, "eval_f1_micro": 0.8135221716405328, "eval_loss": 0.12411519885063171, "eval_runtime": 590.4943, "eval_samples_per_second": 4.887, "eval_steps_per_second": 0.154, "learning_rate": 0.0001, "step": 14742 }, { "epoch": 54.94505494505494, "grad_norm": 0.296142578125, "learning_rate": 0.0001, "loss": 0.1289, "step": 15000 }, { "epoch": 55.0, "eval_accuracy": 0.29521829521829523, "eval_f1_macro": 0.6996806217177095, "eval_f1_micro": 0.8130868668154448, "eval_loss": 0.12417341023683548, "eval_runtime": 580.598, "eval_samples_per_second": 4.971, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 15015 }, { "epoch": 56.0, "eval_accuracy": 0.30214830214830213, "eval_f1_macro": 0.7064033143378504, "eval_f1_micro": 0.8178580303155802, "eval_loss": 0.1234845370054245, "eval_runtime": 578.4648, "eval_samples_per_second": 4.989, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 15288 }, { "epoch": 56.776556776556774, "grad_norm": 0.23026500642299652, "learning_rate": 0.0001, "loss": 0.1286, "step": 15500 }, { "epoch": 57.0, "eval_accuracy": 0.2993762993762994, "eval_f1_macro": 0.6963082116005005, "eval_f1_micro": 0.8150138550675959, "eval_loss": 0.12350637465715408, "eval_runtime": 578.6503, "eval_samples_per_second": 4.987, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 15561 }, { "epoch": 58.0, "eval_accuracy": 0.2983367983367983, "eval_f1_macro": 0.7011763866264856, "eval_f1_micro": 0.814454598809424, "eval_loss": 0.12311282008886337, "eval_runtime": 575.7868, "eval_samples_per_second": 5.012, "eval_steps_per_second": 0.158, "learning_rate": 0.0001, "step": 15834 }, { "epoch": 58.608058608058606, "grad_norm": 0.2271023392677307, "learning_rate": 0.0001, "loss": 0.1282, "step": 16000 }, { "epoch": 59.0, "eval_accuracy": 0.30006930006930005, "eval_f1_macro": 0.7021882450681799, "eval_f1_micro": 0.8153207895067678, "eval_loss": 0.12340909987688065, "eval_runtime": 574.6752, "eval_samples_per_second": 5.022, "eval_steps_per_second": 0.158, "learning_rate": 0.0001, "step": 16107 }, { "epoch": 60.0, "eval_accuracy": 0.2972972972972973, "eval_f1_macro": 0.6978379224258093, "eval_f1_micro": 0.8121788610981358, "eval_loss": 0.12386388331651688, "eval_runtime": 580.8249, "eval_samples_per_second": 4.969, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 16380 }, { "epoch": 60.43956043956044, "grad_norm": 0.26319652795791626, "learning_rate": 0.0001, "loss": 0.1282, "step": 16500 }, { "epoch": 61.0, "eval_accuracy": 0.30145530145530147, "eval_f1_macro": 0.7114090358686158, "eval_f1_micro": 0.8157532819337362, "eval_loss": 0.12355918437242508, "eval_runtime": 580.0589, "eval_samples_per_second": 4.975, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 16653 }, { "epoch": 62.0, "eval_accuracy": 0.3031878031878032, "eval_f1_macro": 0.7119609165997448, "eval_f1_micro": 0.8168304358780549, "eval_loss": 0.12266429513692856, "eval_runtime": 571.7568, "eval_samples_per_second": 5.048, "eval_steps_per_second": 0.159, "learning_rate": 0.0001, "step": 16926 }, { "epoch": 62.27106227106227, "grad_norm": 0.2723998725414276, "learning_rate": 0.0001, "loss": 0.1265, "step": 17000 }, { "epoch": 63.0, "eval_accuracy": 0.2948717948717949, "eval_f1_macro": 0.7077249537938423, "eval_f1_micro": 0.8136965505608501, "eval_loss": 0.12305888533592224, "eval_runtime": 579.5124, "eval_samples_per_second": 4.98, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 17199 }, { "epoch": 64.0, "eval_accuracy": 0.30561330561330563, "eval_f1_macro": 0.708440477929098, "eval_f1_micro": 0.8172187094342783, "eval_loss": 0.12276986986398697, "eval_runtime": 580.0855, "eval_samples_per_second": 4.975, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 17472 }, { "epoch": 64.1025641025641, "grad_norm": 0.2615499794483185, "learning_rate": 0.0001, "loss": 0.1273, "step": 17500 }, { "epoch": 65.0, "eval_accuracy": 0.3076923076923077, "eval_f1_macro": 0.7103116175502073, "eval_f1_micro": 0.8182651445712857, "eval_loss": 0.12323789298534393, "eval_runtime": 578.4314, "eval_samples_per_second": 4.989, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 17745 }, { "epoch": 65.93406593406593, "grad_norm": 0.278421550989151, "learning_rate": 0.0001, "loss": 0.1258, "step": 18000 }, { "epoch": 66.0, "eval_accuracy": 0.30353430353430355, "eval_f1_macro": 0.706549053618703, "eval_f1_micro": 0.8178908425822006, "eval_loss": 0.12264254689216614, "eval_runtime": 582.1432, "eval_samples_per_second": 4.958, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 18018 }, { "epoch": 67.0, "eval_accuracy": 0.3052668052668053, "eval_f1_macro": 0.7104724530407897, "eval_f1_micro": 0.8184709429598117, "eval_loss": 0.12282951176166534, "eval_runtime": 572.3604, "eval_samples_per_second": 5.042, "eval_steps_per_second": 0.159, "learning_rate": 0.0001, "step": 18291 }, { "epoch": 67.76556776556777, "grad_norm": 0.33604416251182556, "learning_rate": 0.0001, "loss": 0.125, "step": 18500 }, { "epoch": 68.0, "eval_accuracy": 0.3042273042273042, "eval_f1_macro": 0.7127667888432785, "eval_f1_micro": 0.818125541661508, "eval_loss": 0.12277437746524811, "eval_runtime": 566.9946, "eval_samples_per_second": 5.09, "eval_steps_per_second": 0.16, "learning_rate": 0.0001, "step": 18564 }, { "epoch": 69.0, "eval_accuracy": 0.3052668052668053, "eval_f1_macro": 0.703803449192515, "eval_f1_micro": 0.8137196924896511, "eval_loss": 0.12282923609018326, "eval_runtime": 578.0179, "eval_samples_per_second": 4.993, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 18837 }, { "epoch": 69.59706959706959, "grad_norm": 0.237099289894104, "learning_rate": 0.0001, "loss": 0.125, "step": 19000 }, { "epoch": 70.0, "eval_accuracy": 0.30180180180180183, "eval_f1_macro": 0.7079779831387449, "eval_f1_micro": 0.8154847434705434, "eval_loss": 0.1231524795293808, "eval_runtime": 578.443, "eval_samples_per_second": 4.989, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 19110 }, { "epoch": 71.0, "eval_accuracy": 0.29902979902979904, "eval_f1_macro": 0.7111485120209401, "eval_f1_micro": 0.8155765340525961, "eval_loss": 0.12310803681612015, "eval_runtime": 577.0393, "eval_samples_per_second": 5.001, "eval_steps_per_second": 0.158, "learning_rate": 0.0001, "step": 19383 }, { "epoch": 71.42857142857143, "grad_norm": 0.31944581866264343, "learning_rate": 0.0001, "loss": 0.1245, "step": 19500 }, { "epoch": 72.0, "eval_accuracy": 0.30076230076230076, "eval_f1_macro": 0.7149554589558469, "eval_f1_micro": 0.8161826422695988, "eval_loss": 0.12233748286962509, "eval_runtime": 578.4014, "eval_samples_per_second": 4.99, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 19656 }, { "epoch": 73.0, "eval_accuracy": 0.3049203049203049, "eval_f1_macro": 0.7041677932151664, "eval_f1_micro": 0.8173891171292027, "eval_loss": 0.12232980877161026, "eval_runtime": 572.1622, "eval_samples_per_second": 5.044, "eval_steps_per_second": 0.159, "learning_rate": 0.0001, "step": 19929 }, { "epoch": 73.26007326007326, "grad_norm": 0.2972647249698639, "learning_rate": 0.0001, "loss": 0.1248, "step": 20000 }, { "epoch": 74.0, "eval_accuracy": 0.29625779625779625, "eval_f1_macro": 0.7009378784168091, "eval_f1_micro": 0.8124655033329088, "eval_loss": 0.12370481342077255, "eval_runtime": 589.0452, "eval_samples_per_second": 4.899, "eval_steps_per_second": 0.154, "learning_rate": 0.0001, "step": 20202 }, { "epoch": 75.0, "eval_accuracy": 0.30457380457380456, "eval_f1_macro": 0.7045397920320168, "eval_f1_micro": 0.8151614807319335, "eval_loss": 0.12251079827547073, "eval_runtime": 585.6991, "eval_samples_per_second": 4.927, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 20475 }, { "epoch": 75.0915750915751, "grad_norm": 0.34343692660331726, "learning_rate": 0.0001, "loss": 0.1249, "step": 20500 }, { "epoch": 76.0, "eval_accuracy": 0.30076230076230076, "eval_f1_macro": 0.7099467053038022, "eval_f1_micro": 0.8159596808063839, "eval_loss": 0.12471619248390198, "eval_runtime": 580.0788, "eval_samples_per_second": 4.975, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 20748 }, { "epoch": 76.92307692307692, "grad_norm": 0.34839001297950745, "learning_rate": 0.0001, "loss": 0.1238, "step": 21000 }, { "epoch": 77.0, "eval_accuracy": 0.29902979902979904, "eval_f1_macro": 0.7139220834888879, "eval_f1_micro": 0.8179482930062977, "eval_loss": 0.1225149855017662, "eval_runtime": 592.1949, "eval_samples_per_second": 4.873, "eval_steps_per_second": 0.154, "learning_rate": 0.0001, "step": 21021 }, { "epoch": 78.0, "eval_accuracy": 0.30457380457380456, "eval_f1_macro": 0.7060530834173799, "eval_f1_micro": 0.8188081009296149, "eval_loss": 0.12218895554542542, "eval_runtime": 580.5057, "eval_samples_per_second": 4.972, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 21294 }, { "epoch": 78.75457875457876, "grad_norm": 0.3252258002758026, "learning_rate": 0.0001, "loss": 0.1233, "step": 21500 }, { "epoch": 79.0, "eval_accuracy": 0.30180180180180183, "eval_f1_macro": 0.7100736740896743, "eval_f1_micro": 0.8152018201735907, "eval_loss": 0.12460680305957794, "eval_runtime": 580.1369, "eval_samples_per_second": 4.975, "eval_steps_per_second": 0.157, "learning_rate": 0.0001, "step": 21567 }, { "epoch": 80.0, "eval_accuracy": 0.3038808038808039, "eval_f1_macro": 0.710254660316209, "eval_f1_micro": 0.8179503235232728, "eval_loss": 0.12210072576999664, "eval_runtime": 588.8207, "eval_samples_per_second": 4.901, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 21840 }, { "epoch": 80.58608058608058, "grad_norm": 0.31095778942108154, "learning_rate": 0.0001, "loss": 0.1225, "step": 22000 }, { "epoch": 81.0, "eval_accuracy": 0.30180180180180183, "eval_f1_macro": 0.7156736962695093, "eval_f1_micro": 0.8184843191082273, "eval_loss": 0.12116113305091858, "eval_runtime": 583.0708, "eval_samples_per_second": 4.95, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 22113 }, { "epoch": 82.0, "eval_accuracy": 0.30803880803880807, "eval_f1_macro": 0.7088973142030256, "eval_f1_micro": 0.8151834668916069, "eval_loss": 0.12159755080938339, "eval_runtime": 583.0652, "eval_samples_per_second": 4.95, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 22386 }, { "epoch": 82.41758241758242, "grad_norm": 0.30886727571487427, "learning_rate": 0.0001, "loss": 0.1216, "step": 22500 }, { "epoch": 83.0, "eval_accuracy": 0.30803880803880807, "eval_f1_macro": 0.7090314532601811, "eval_f1_micro": 0.8164913756836348, "eval_loss": 0.12142453342676163, "eval_runtime": 587.9863, "eval_samples_per_second": 4.908, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 22659 }, { "epoch": 84.0, "eval_accuracy": 0.306999306999307, "eval_f1_macro": 0.7100088286352488, "eval_f1_micro": 0.8168789808917197, "eval_loss": 0.12157817929983139, "eval_runtime": 574.5086, "eval_samples_per_second": 5.023, "eval_steps_per_second": 0.158, "learning_rate": 0.0001, "step": 22932 }, { "epoch": 84.24908424908425, "grad_norm": 0.33512353897094727, "learning_rate": 0.0001, "loss": 0.1232, "step": 23000 }, { "epoch": 85.0, "eval_accuracy": 0.3052668052668053, "eval_f1_macro": 0.7109093140233731, "eval_f1_micro": 0.8188048474717927, "eval_loss": 0.12155645340681076, "eval_runtime": 588.285, "eval_samples_per_second": 4.906, "eval_steps_per_second": 0.155, "learning_rate": 0.0001, "step": 23205 }, { "epoch": 86.0, "eval_accuracy": 0.306999306999307, "eval_f1_macro": 0.7176309861117636, "eval_f1_micro": 0.8190986316274009, "eval_loss": 0.12185127288103104, "eval_runtime": 596.3097, "eval_samples_per_second": 4.84, "eval_steps_per_second": 0.153, "learning_rate": 0.0001, "step": 23478 }, { "epoch": 86.08058608058609, "grad_norm": 0.3552737832069397, "learning_rate": 0.0001, "loss": 0.1221, "step": 23500 }, { "epoch": 87.0, "eval_accuracy": 0.3063063063063063, "eval_f1_macro": 0.7080074645247395, "eval_f1_micro": 0.8176601181250785, "eval_loss": 0.12196006625890732, "eval_runtime": 582.057, "eval_samples_per_second": 4.958, "eval_steps_per_second": 0.156, "learning_rate": 0.0001, "step": 23751 }, { "epoch": 87.91208791208791, "grad_norm": 0.31451234221458435, "learning_rate": 1e-05, "loss": 0.1208, "step": 24000 }, { "epoch": 88.0, "eval_accuracy": 0.3049203049203049, "eval_f1_macro": 0.7158455151348946, "eval_f1_micro": 0.8210709982967056, "eval_loss": 0.1209772601723671, "eval_runtime": 583.2281, "eval_samples_per_second": 4.948, "eval_steps_per_second": 0.156, "learning_rate": 1e-05, "step": 24024 }, { "epoch": 89.0, "eval_accuracy": 0.30734580734580735, "eval_f1_macro": 0.7312085502704033, "eval_f1_micro": 0.82409381663113, "eval_loss": 0.12103869765996933, "eval_runtime": 571.5547, "eval_samples_per_second": 5.049, "eval_steps_per_second": 0.159, "learning_rate": 1e-05, "step": 24297 }, { "epoch": 89.74358974358974, "grad_norm": 0.3047947883605957, "learning_rate": 1e-05, "loss": 0.1189, "step": 24500 }, { "epoch": 90.0, "eval_accuracy": 0.306999306999307, "eval_f1_macro": 0.7232165780756572, "eval_f1_micro": 0.823466447097571, "eval_loss": 0.12060839682817459, "eval_runtime": 577.3382, "eval_samples_per_second": 4.999, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 24570 }, { "epoch": 91.0, "eval_accuracy": 0.3087318087318087, "eval_f1_macro": 0.714800773362679, "eval_f1_micro": 0.8190853196327803, "eval_loss": 0.12036494165658951, "eval_runtime": 575.4555, "eval_samples_per_second": 5.015, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 24843 }, { "epoch": 91.57509157509158, "grad_norm": 0.28365448117256165, "learning_rate": 1e-05, "loss": 0.1181, "step": 25000 }, { "epoch": 92.0, "eval_accuracy": 0.3087318087318087, "eval_f1_macro": 0.7131694962358415, "eval_f1_micro": 0.8194187804468336, "eval_loss": 0.12028194963932037, "eval_runtime": 576.0948, "eval_samples_per_second": 5.01, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 25116 }, { "epoch": 93.0, "eval_accuracy": 0.30838530838530837, "eval_f1_macro": 0.7183857334665726, "eval_f1_micro": 0.8214921910601102, "eval_loss": 0.12036142498254776, "eval_runtime": 576.2755, "eval_samples_per_second": 5.008, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 25389 }, { "epoch": 93.4065934065934, "grad_norm": 0.3265780806541443, "learning_rate": 1e-05, "loss": 0.1183, "step": 25500 }, { "epoch": 94.0, "eval_accuracy": 0.30665280665280664, "eval_f1_macro": 0.7195089038891936, "eval_f1_micro": 0.8207247828991316, "eval_loss": 0.12012535333633423, "eval_runtime": 574.7766, "eval_samples_per_second": 5.021, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 25662 }, { "epoch": 95.0, "eval_accuracy": 0.30838530838530837, "eval_f1_macro": 0.7157953029268052, "eval_f1_micro": 0.8197421299397187, "eval_loss": 0.12010551244020462, "eval_runtime": 579.3324, "eval_samples_per_second": 4.982, "eval_steps_per_second": 0.157, "learning_rate": 1e-05, "step": 25935 }, { "epoch": 95.23809523809524, "grad_norm": 0.3151456415653229, "learning_rate": 1e-05, "loss": 0.117, "step": 26000 }, { "epoch": 96.0, "eval_accuracy": 0.3052668052668053, "eval_f1_macro": 0.7193329750108997, "eval_f1_micro": 0.8217099503939306, "eval_loss": 0.1198035180568695, "eval_runtime": 605.2902, "eval_samples_per_second": 4.768, "eval_steps_per_second": 0.15, "learning_rate": 1e-05, "step": 26208 }, { "epoch": 97.0, "eval_accuracy": 0.3063063063063063, "eval_f1_macro": 0.7210913273742954, "eval_f1_micro": 0.8204592028773368, "eval_loss": 0.12007978558540344, "eval_runtime": 637.4782, "eval_samples_per_second": 4.527, "eval_steps_per_second": 0.143, "learning_rate": 1e-05, "step": 26481 }, { "epoch": 97.06959706959707, "grad_norm": 0.32921385765075684, "learning_rate": 1e-05, "loss": 0.1176, "step": 26500 }, { "epoch": 98.0, "eval_accuracy": 0.30803880803880807, "eval_f1_macro": 0.7250050738866957, "eval_f1_micro": 0.8226615276223631, "eval_loss": 0.12013950198888779, "eval_runtime": 575.4419, "eval_samples_per_second": 5.015, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 26754 }, { "epoch": 98.9010989010989, "grad_norm": 0.37390851974487305, "learning_rate": 1e-05, "loss": 0.1176, "step": 27000 }, { "epoch": 99.0, "eval_accuracy": 0.30734580734580735, "eval_f1_macro": 0.7226446473273916, "eval_f1_micro": 0.8206050968740846, "eval_loss": 0.12003140896558762, "eval_runtime": 619.3031, "eval_samples_per_second": 4.66, "eval_steps_per_second": 0.147, "learning_rate": 1e-05, "step": 27027 }, { "epoch": 100.0, "eval_accuracy": 0.30803880803880807, "eval_f1_macro": 0.7191058080317732, "eval_f1_micro": 0.8216021451315569, "eval_loss": 0.1200241968035698, "eval_runtime": 615.3025, "eval_samples_per_second": 4.69, "eval_steps_per_second": 0.148, "learning_rate": 1e-05, "step": 27300 }, { "epoch": 100.73260073260073, "grad_norm": 0.39757904410362244, "learning_rate": 1e-05, "loss": 0.117, "step": 27500 }, { "epoch": 101.0, "eval_accuracy": 0.3097713097713098, "eval_f1_macro": 0.724185821594473, "eval_f1_micro": 0.8228338260398884, "eval_loss": 0.11989927291870117, "eval_runtime": 574.4571, "eval_samples_per_second": 5.024, "eval_steps_per_second": 0.158, "learning_rate": 1e-05, "step": 27573 }, { "epoch": 102.0, "eval_accuracy": 0.30734580734580735, "eval_f1_macro": 0.7216480982679994, "eval_f1_micro": 0.8192071374463429, "eval_loss": 0.12043397128582001, "eval_runtime": 627.7673, "eval_samples_per_second": 4.597, "eval_steps_per_second": 0.145, "learning_rate": 1e-05, "step": 27846 }, { "epoch": 102.56410256410257, "grad_norm": 0.3315370976924896, "learning_rate": 1.0000000000000002e-06, "loss": 0.1159, "step": 28000 }, { "epoch": 103.0, "eval_accuracy": 0.30665280665280664, "eval_f1_macro": 0.7231653777895258, "eval_f1_micro": 0.8221990402670561, "eval_loss": 0.1199527159333229, "eval_runtime": 574.6395, "eval_samples_per_second": 5.022, "eval_steps_per_second": 0.158, "learning_rate": 1.0000000000000002e-06, "step": 28119 }, { "epoch": 104.0, "eval_accuracy": 0.31011781011781014, "eval_f1_macro": 0.7234886652066129, "eval_f1_micro": 0.8217751676454663, "eval_loss": 0.12043838202953339, "eval_runtime": 571.7276, "eval_samples_per_second": 5.048, "eval_steps_per_second": 0.159, "learning_rate": 1.0000000000000002e-06, "step": 28392 }, { "epoch": 104.3956043956044, "grad_norm": 0.3368052840232849, "learning_rate": 1.0000000000000002e-06, "loss": 0.1151, "step": 28500 }, { "epoch": 105.0, "eval_accuracy": 0.3076923076923077, "eval_f1_macro": 0.7205886261735153, "eval_f1_micro": 0.8219212232009308, "eval_loss": 0.11985885351896286, "eval_runtime": 623.1101, "eval_samples_per_second": 4.632, "eval_steps_per_second": 0.146, "learning_rate": 1.0000000000000002e-06, "step": 28665 }, { "epoch": 106.0, "eval_accuracy": 0.31046431046431044, "eval_f1_macro": 0.7270103073654017, "eval_f1_micro": 0.8228195739014648, "eval_loss": 0.11984959244728088, "eval_runtime": 582.6782, "eval_samples_per_second": 4.953, "eval_steps_per_second": 0.156, "learning_rate": 1.0000000000000002e-06, "step": 28938 }, { "epoch": 106.0, "learning_rate": 1.0000000000000002e-06, "step": 28938, "total_flos": 1.3699618367216817e+21, "train_loss": 0.13672988786670365, "train_runtime": 251282.626, "train_samples_per_second": 5.203, "train_steps_per_second": 0.163 } ], "logging_steps": 500, "max_steps": 40950, "num_input_tokens_seen": 0, "num_train_epochs": 150, "save_steps": 500, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 10, "early_stopping_threshold": 0.0 }, "attributes": { "early_stopping_patience_counter": 0 } }, "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 1.3699618367216817e+21, "train_batch_size": 32, "trial_name": null, "trial_params": null }