{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.6666666666666666, "eval_steps": 100, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "grad_norm": 20.25166668892518, "learning_rate": 8.333333333333334e-06, "loss": 11.0527, "step": 25 }, { "epoch": 0.02, "grad_norm": 9.032903124299999, "learning_rate": 1.6666666666666667e-05, "loss": 8.6558, "step": 50 }, { "epoch": 0.03, "grad_norm": 5.7572068330082, "learning_rate": 2.5e-05, "loss": 8.501, "step": 75 }, { "epoch": 0.03, "grad_norm": 3.7554051243303186, "learning_rate": 3.3333333333333335e-05, "loss": 8.4932, "step": 100 }, { "epoch": 0.03, "eval_loss": 8.403280258178711, "eval_runtime": 2.444, "eval_samples_per_second": 2.864, "eval_steps_per_second": 0.409, "step": 100 }, { "epoch": 0.04, "grad_norm": 5.05967019179598, "learning_rate": 4.166666666666667e-05, "loss": 8.3719, "step": 125 }, { "epoch": 0.05, "grad_norm": 4.847800073002136, "learning_rate": 5e-05, "loss": 8.1324, "step": 150 }, { "epoch": 0.06, "grad_norm": 4.83727692533756, "learning_rate": 4.999050767562379e-05, "loss": 7.725, "step": 175 }, { "epoch": 0.07, "grad_norm": 7.288277420776578, "learning_rate": 4.996203791083291e-05, "loss": 6.8915, "step": 200 }, { "epoch": 0.07, "eval_loss": 7.34761381149292, "eval_runtime": 1.9955, "eval_samples_per_second": 3.508, "eval_steps_per_second": 0.501, "step": 200 }, { "epoch": 0.07, "grad_norm": 7.159902843784087, "learning_rate": 4.991461232516675e-05, "loss": 5.7354, "step": 225 }, { "epoch": 0.08, "grad_norm": 11.491480752541028, "learning_rate": 4.984826693294874e-05, "loss": 4.5382, "step": 250 }, { "epoch": 0.09, "grad_norm": 8.64216534708584, "learning_rate": 4.976305211593758e-05, "loss": 3.4957, "step": 275 }, { "epoch": 0.1, "grad_norm": 9.463504654920019, "learning_rate": 4.965903258506806e-05, "loss": 2.57, "step": 300 }, { "epoch": 0.1, "eval_loss": 6.328631401062012, "eval_runtime": 2.0084, "eval_samples_per_second": 3.485, "eval_steps_per_second": 0.498, "step": 300 }, { "epoch": 0.11, "grad_norm": 21.508882454052266, "learning_rate": 4.953628733131045e-05, "loss": 1.8991, "step": 325 }, { "epoch": 0.12, "grad_norm": 5.804271629648969, "learning_rate": 4.9394909565685894e-05, "loss": 1.3398, "step": 350 }, { "epoch": 0.12, "grad_norm": 9.385609144407736, "learning_rate": 4.923500664848326e-05, "loss": 1.0789, "step": 375 }, { "epoch": 0.13, "grad_norm": 5.7800077293904915, "learning_rate": 4.905670000773126e-05, "loss": 0.8359, "step": 400 }, { "epoch": 0.13, "eval_loss": 6.389462471008301, "eval_runtime": 1.9225, "eval_samples_per_second": 3.641, "eval_steps_per_second": 0.52, "step": 400 }, { "epoch": 0.14, "grad_norm": 6.188182955826137, "learning_rate": 4.886012504698769e-05, "loss": 0.6113, "step": 425 }, { "epoch": 0.15, "grad_norm": 5.433461636544655, "learning_rate": 4.864543104251587e-05, "loss": 0.5115, "step": 450 }, { "epoch": 0.16, "grad_norm": 5.263910737398804, "learning_rate": 4.841278102992637e-05, "loss": 0.4475, "step": 475 }, { "epoch": 0.17, "grad_norm": 4.489583987078794, "learning_rate": 4.8162351680370044e-05, "loss": 0.3845, "step": 500 }, { "epoch": 0.17, "eval_loss": 6.672789573669434, "eval_runtime": 2.0659, "eval_samples_per_second": 3.388, "eval_steps_per_second": 0.484, "step": 500 }, { "epoch": 0.17, "grad_norm": 5.196381164846382, "learning_rate": 4.789433316637644e-05, "loss": 0.3733, "step": 525 }, { "epoch": 0.18, "grad_norm": 3.8044414274380562, "learning_rate": 4.760892901743944e-05, "loss": 0.3566, "step": 550 }, { "epoch": 0.19, "grad_norm": 3.4787421022056098, "learning_rate": 4.730635596545985e-05, "loss": 0.3141, "step": 575 }, { "epoch": 0.2, "grad_norm": 9.827489853335932, "learning_rate": 4.698684378016222e-05, "loss": 0.3107, "step": 600 }, { "epoch": 0.2, "eval_loss": 6.502092361450195, "eval_runtime": 2.426, "eval_samples_per_second": 2.885, "eval_steps_per_second": 0.412, "step": 600 }, { "epoch": 0.21, "grad_norm": 3.569090915517714, "learning_rate": 4.665063509461097e-05, "loss": 0.3029, "step": 625 }, { "epoch": 0.22, "grad_norm": 8.808604180091518, "learning_rate": 4.629798522095818e-05, "loss": 0.2851, "step": 650 }, { "epoch": 0.23, "grad_norm": 6.532098366400892, "learning_rate": 4.592916195656322e-05, "loss": 0.2543, "step": 675 }, { "epoch": 0.23, "grad_norm": 3.86761849222122, "learning_rate": 4.554444538063113e-05, "loss": 0.2296, "step": 700 }, { "epoch": 0.23, "eval_loss": 6.935348987579346, "eval_runtime": 2.2326, "eval_samples_per_second": 3.135, "eval_steps_per_second": 0.448, "step": 700 }, { "epoch": 0.24, "grad_norm": 3.229812499737018, "learning_rate": 4.514412764152446e-05, "loss": 0.202, "step": 725 }, { "epoch": 0.25, "grad_norm": 4.16567522590051, "learning_rate": 4.4728512734909844e-05, "loss": 0.1716, "step": 750 }, { "epoch": 0.26, "grad_norm": 2.949438330771571, "learning_rate": 4.4297916272908024e-05, "loss": 0.1658, "step": 775 }, { "epoch": 0.27, "grad_norm": 3.866403478843968, "learning_rate": 4.385266524442241e-05, "loss": 0.164, "step": 800 }, { "epoch": 0.27, "eval_loss": 6.8642449378967285, "eval_runtime": 2.0035, "eval_samples_per_second": 3.494, "eval_steps_per_second": 0.499, "step": 800 }, { "epoch": 0.28, "grad_norm": 2.5637077564702793, "learning_rate": 4.3393097766828293e-05, "loss": 0.1646, "step": 825 }, { "epoch": 0.28, "grad_norm": 3.2208975889798532, "learning_rate": 4.2919562829211283e-05, "loss": 0.1649, "step": 850 }, { "epoch": 0.29, "grad_norm": 4.840386620025996, "learning_rate": 4.2432420027349886e-05, "loss": 0.1565, "step": 875 }, { "epoch": 0.3, "grad_norm": 2.732903459358712, "learning_rate": 4.193203929064353e-05, "loss": 0.149, "step": 900 }, { "epoch": 0.3, "eval_loss": 6.954349517822266, "eval_runtime": 1.9483, "eval_samples_per_second": 3.593, "eval_steps_per_second": 0.513, "step": 900 }, { "epoch": 0.31, "grad_norm": 5.731747492996942, "learning_rate": 4.141880060119336e-05, "loss": 0.1414, "step": 925 }, { "epoch": 0.32, "grad_norm": 2.6801789029945224, "learning_rate": 4.089309370524921e-05, "loss": 0.1349, "step": 950 }, { "epoch": 0.33, "grad_norm": 3.545251177735513, "learning_rate": 4.03553178172417e-05, "loss": 0.1349, "step": 975 }, { "epoch": 0.33, "grad_norm": 2.805948855969587, "learning_rate": 3.9805881316624506e-05, "loss": 0.1288, "step": 1000 }, { "epoch": 0.33, "eval_loss": 7.151072025299072, "eval_runtime": 2.0089, "eval_samples_per_second": 3.484, "eval_steps_per_second": 0.498, "step": 1000 }, { "epoch": 0.34, "grad_norm": 3.359524866205609, "learning_rate": 3.9245201437756654e-05, "loss": 0.133, "step": 1025 }, { "epoch": 0.35, "grad_norm": 2.4513945515951034, "learning_rate": 3.867370395306068e-05, "loss": 0.1283, "step": 1050 }, { "epoch": 0.36, "grad_norm": 2.7251550008679124, "learning_rate": 3.8091822849696954e-05, "loss": 0.1296, "step": 1075 }, { "epoch": 0.37, "grad_norm": 2.3408176490646735, "learning_rate": 3.7500000000000003e-05, "loss": 0.1174, "step": 1100 }, { "epoch": 0.37, "eval_loss": 7.04253625869751, "eval_runtime": 2.1128, "eval_samples_per_second": 3.313, "eval_steps_per_second": 0.473, "step": 1100 }, { "epoch": 0.38, "grad_norm": 2.345049499419834, "learning_rate": 3.689868482592684e-05, "loss": 0.1222, "step": 1125 }, { "epoch": 0.38, "grad_norm": 2.252502312200347, "learning_rate": 3.628833395777224e-05, "loss": 0.1123, "step": 1150 }, { "epoch": 0.39, "grad_norm": 2.255479925896646, "learning_rate": 3.5669410887410095e-05, "loss": 0.1109, "step": 1175 }, { "epoch": 0.4, "grad_norm": 5.433572539291945, "learning_rate": 3.504238561632424e-05, "loss": 0.1055, "step": 1200 }, { "epoch": 0.4, "eval_loss": 6.962005138397217, "eval_runtime": 2.3652, "eval_samples_per_second": 2.96, "eval_steps_per_second": 0.423, "step": 1200 }, { "epoch": 0.41, "grad_norm": 1.894777201625373, "learning_rate": 3.4407734298695895e-05, "loss": 0.0971, "step": 1225 }, { "epoch": 0.42, "grad_norm": 13.586848448823995, "learning_rate": 3.376593887981887e-05, "loss": 0.097, "step": 1250 }, { "epoch": 0.42, "grad_norm": 1.910777490633546, "learning_rate": 3.311748673011709e-05, "loss": 0.095, "step": 1275 }, { "epoch": 0.43, "grad_norm": 2.213597934122813, "learning_rate": 3.246287027504237e-05, "loss": 0.0923, "step": 1300 }, { "epoch": 0.43, "eval_loss": 7.195333003997803, "eval_runtime": 1.8349, "eval_samples_per_second": 3.815, "eval_steps_per_second": 0.545, "step": 1300 }, { "epoch": 0.44, "grad_norm": 1.8556555959500387, "learning_rate": 3.180258662113338e-05, "loss": 0.0899, "step": 1325 }, { "epoch": 0.45, "grad_norm": 1.8171299789610367, "learning_rate": 3.1137137178519985e-05, "loss": 0.088, "step": 1350 }, { "epoch": 0.46, "grad_norm": 1.6125472661304423, "learning_rate": 3.04670272801594e-05, "loss": 0.0848, "step": 1375 }, { "epoch": 0.47, "grad_norm": 1.6146107012694884, "learning_rate": 2.9792765798093465e-05, "loss": 0.0823, "step": 1400 }, { "epoch": 0.47, "eval_loss": 7.175464630126953, "eval_runtime": 2.305, "eval_samples_per_second": 3.037, "eval_steps_per_second": 0.434, "step": 1400 }, { "epoch": 0.47, "grad_norm": 1.6339734948096556, "learning_rate": 2.9114864757018352e-05, "loss": 0.0775, "step": 1425 }, { "epoch": 0.48, "grad_norm": 1.3803334577313728, "learning_rate": 2.8433838945460205e-05, "loss": 0.0778, "step": 1450 }, { "epoch": 0.49, "grad_norm": 4.1834888729216155, "learning_rate": 2.7750205524851986e-05, "loss": 0.0724, "step": 1475 }, { "epoch": 0.5, "grad_norm": 1.3957828771921776, "learning_rate": 2.7064483636808313e-05, "loss": 0.0743, "step": 1500 }, { "epoch": 0.5, "eval_loss": 7.146019458770752, "eval_runtime": 2.0516, "eval_samples_per_second": 3.412, "eval_steps_per_second": 0.487, "step": 1500 }, { "epoch": 0.51, "grad_norm": 2.3774136895238387, "learning_rate": 2.6377194008896637e-05, "loss": 0.0721, "step": 1525 }, { "epoch": 0.52, "grad_norm": 1.4294952617652887, "learning_rate": 2.5688858559204053e-05, "loss": 0.07, "step": 1550 }, { "epoch": 0.53, "grad_norm": 1.7503317291445033, "learning_rate": 2.5e-05, "loss": 0.0689, "step": 1575 }, { "epoch": 0.53, "grad_norm": 1.8141634588926774, "learning_rate": 2.4311141440795953e-05, "loss": 0.0692, "step": 1600 }, { "epoch": 0.53, "eval_loss": 7.258533477783203, "eval_runtime": 2.0233, "eval_samples_per_second": 3.46, "eval_steps_per_second": 0.494, "step": 1600 }, { "epoch": 0.54, "grad_norm": 1.5420686364317522, "learning_rate": 2.3622805991103362e-05, "loss": 0.0659, "step": 1625 }, { "epoch": 0.55, "grad_norm": 1.3888120359776974, "learning_rate": 2.2935516363191693e-05, "loss": 0.0634, "step": 1650 }, { "epoch": 0.56, "grad_norm": 1.2546701670441247, "learning_rate": 2.224979447514802e-05, "loss": 0.0645, "step": 1675 }, { "epoch": 0.57, "grad_norm": 1.2106681885887598, "learning_rate": 2.1566161054539798e-05, "loss": 0.0607, "step": 1700 }, { "epoch": 0.57, "eval_loss": 7.4217352867126465, "eval_runtime": 2.0821, "eval_samples_per_second": 3.362, "eval_steps_per_second": 0.48, "step": 1700 }, { "epoch": 0.57, "grad_norm": 1.8579148754464851, "learning_rate": 2.088513524298165e-05, "loss": 0.0628, "step": 1725 }, { "epoch": 0.58, "grad_norm": 2.182376129737232, "learning_rate": 2.0207234201906547e-05, "loss": 0.0599, "step": 1750 }, { "epoch": 0.59, "grad_norm": 1.322832200578898, "learning_rate": 1.9532972719840607e-05, "loss": 0.0572, "step": 1775 }, { "epoch": 0.6, "grad_norm": 2.8440718747760045, "learning_rate": 1.8862862821480025e-05, "loss": 0.0566, "step": 1800 }, { "epoch": 0.6, "eval_loss": 7.199245452880859, "eval_runtime": 2.2957, "eval_samples_per_second": 3.049, "eval_steps_per_second": 0.436, "step": 1800 }, { "epoch": 0.61, "grad_norm": 1.0329563875586547, "learning_rate": 1.819741337886662e-05, "loss": 0.0524, "step": 1825 }, { "epoch": 0.62, "grad_norm": 1.4496258780971825, "learning_rate": 1.7537129724957642e-05, "loss": 0.0559, "step": 1850 }, { "epoch": 0.62, "grad_norm": 1.419911688184789, "learning_rate": 1.6882513269882917e-05, "loss": 0.0541, "step": 1875 }, { "epoch": 0.63, "grad_norm": 1.1492711217382043, "learning_rate": 1.6234061120181142e-05, "loss": 0.0522, "step": 1900 }, { "epoch": 0.63, "eval_loss": 7.336871147155762, "eval_runtime": 1.9969, "eval_samples_per_second": 3.505, "eval_steps_per_second": 0.501, "step": 1900 }, { "epoch": 0.64, "grad_norm": 1.1314206062794803, "learning_rate": 1.5592265701304114e-05, "loss": 0.0515, "step": 1925 }, { "epoch": 0.65, "grad_norm": 0.992667486842559, "learning_rate": 1.495761438367577e-05, "loss": 0.0529, "step": 1950 }, { "epoch": 0.66, "grad_norm": 0.9083563595052039, "learning_rate": 1.433058911258991e-05, "loss": 0.0481, "step": 1975 }, { "epoch": 0.67, "grad_norm": 0.9921561622348036, "learning_rate": 1.3711666042227772e-05, "loss": 0.0504, "step": 2000 }, { "epoch": 0.67, "eval_loss": 7.345071792602539, "eval_runtime": 2.216, "eval_samples_per_second": 3.159, "eval_steps_per_second": 0.451, "step": 2000 } ], "logging_steps": 25, "max_steps": 3000, "num_input_tokens_seen": 0, "num_train_epochs": 9223372036854775807, "save_steps": 1000, "total_flos": 104676741611520.0, "train_batch_size": 4, "trial_name": null, "trial_params": null }