{ "best_metric": null, "best_model_checkpoint": null, "epoch": 8.78048780487805, "eval_steps": 500, "global_step": 90, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.1, "learning_rate": 0.00019805941782534764, "loss": 1.5882, "step": 1 }, { "epoch": 0.2, "learning_rate": 0.00019605881764529358, "loss": 1.6153, "step": 2 }, { "epoch": 0.29, "learning_rate": 0.00019405821746523957, "loss": 1.4696, "step": 3 }, { "epoch": 0.39, "learning_rate": 0.00019205761728518557, "loss": 1.3166, "step": 4 }, { "epoch": 0.49, "learning_rate": 0.00019005701710513156, "loss": 1.2174, "step": 5 }, { "epoch": 0.59, "learning_rate": 0.00018805641692507753, "loss": 1.1412, "step": 6 }, { "epoch": 0.68, "learning_rate": 0.00018605581674502352, "loss": 1.4033, "step": 7 }, { "epoch": 0.78, "learning_rate": 0.00018405521656496952, "loss": 1.1618, "step": 8 }, { "epoch": 0.88, "learning_rate": 0.00018205461638491548, "loss": 1.1545, "step": 9 }, { "epoch": 0.98, "learning_rate": 0.00018005401620486148, "loss": 1.1393, "step": 10 }, { "epoch": 1.07, "learning_rate": 0.00017805341602480744, "loss": 0.9037, "step": 11 }, { "epoch": 1.17, "learning_rate": 0.00017605281584475344, "loss": 0.9019, "step": 12 }, { "epoch": 1.27, "learning_rate": 0.00017405221566469943, "loss": 0.8741, "step": 13 }, { "epoch": 1.37, "learning_rate": 0.00017205161548464542, "loss": 1.0578, "step": 14 }, { "epoch": 1.46, "learning_rate": 0.00017005101530459136, "loss": 0.8038, "step": 15 }, { "epoch": 1.56, "learning_rate": 0.00016805041512453736, "loss": 0.8145, "step": 16 }, { "epoch": 1.66, "learning_rate": 0.00016604981494448335, "loss": 0.8621, "step": 17 }, { "epoch": 1.76, "learning_rate": 0.00016404921476442935, "loss": 0.8065, "step": 18 }, { "epoch": 1.85, "learning_rate": 0.0001620486145843753, "loss": 0.8888, "step": 19 }, { "epoch": 1.95, "learning_rate": 0.0001600480144043213, "loss": 1.0663, "step": 20 }, { "epoch": 2.05, "learning_rate": 0.0001580474142242673, "loss": 0.6937, "step": 21 }, { "epoch": 2.15, "learning_rate": 0.00015604681404421327, "loss": 0.5404, "step": 22 }, { "epoch": 2.24, "learning_rate": 0.00015404621386415926, "loss": 0.7935, "step": 23 }, { "epoch": 2.34, "learning_rate": 0.00015204561368410523, "loss": 0.485, "step": 24 }, { "epoch": 2.44, "learning_rate": 0.00015004501350405122, "loss": 0.6123, "step": 25 }, { "epoch": 2.54, "learning_rate": 0.00014804441332399721, "loss": 0.5724, "step": 26 }, { "epoch": 2.63, "learning_rate": 0.0001460438131439432, "loss": 0.4298, "step": 27 }, { "epoch": 2.73, "learning_rate": 0.00014404321296388918, "loss": 0.489, "step": 28 }, { "epoch": 2.83, "learning_rate": 0.00014204261278383514, "loss": 0.5635, "step": 29 }, { "epoch": 2.93, "learning_rate": 0.00014004201260378114, "loss": 0.5707, "step": 30 }, { "epoch": 3.02, "learning_rate": 0.00013804141242372713, "loss": 0.5423, "step": 31 }, { "epoch": 3.12, "learning_rate": 0.00013604081224367312, "loss": 0.3594, "step": 32 }, { "epoch": 3.22, "learning_rate": 0.0001340402120636191, "loss": 0.2869, "step": 33 }, { "epoch": 3.32, "learning_rate": 0.00013203961188356508, "loss": 0.2804, "step": 34 }, { "epoch": 3.41, "learning_rate": 0.00013003901170351108, "loss": 0.1983, "step": 35 }, { "epoch": 3.51, "learning_rate": 0.00012803841152345704, "loss": 0.3302, "step": 36 }, { "epoch": 3.61, "learning_rate": 0.000126037811343403, "loss": 0.2126, "step": 37 }, { "epoch": 3.71, "learning_rate": 0.000124037211163349, "loss": 0.2929, "step": 38 }, { "epoch": 3.8, "learning_rate": 0.000122036610983295, "loss": 0.2598, "step": 39 }, { "epoch": 3.9, "learning_rate": 0.00012003601080324098, "loss": 0.3308, "step": 40 }, { "epoch": 4.0, "learning_rate": 0.00011803541062318697, "loss": 0.3392, "step": 41 }, { "epoch": 4.1, "learning_rate": 0.00011603481044313295, "loss": 0.1685, "step": 42 }, { "epoch": 4.2, "learning_rate": 0.00011403421026307892, "loss": 0.0609, "step": 43 }, { "epoch": 4.29, "learning_rate": 0.00011203361008302491, "loss": 0.1245, "step": 44 }, { "epoch": 4.39, "learning_rate": 0.0001100330099029709, "loss": 0.1212, "step": 45 }, { "epoch": 4.49, "learning_rate": 0.00010803240972291689, "loss": 0.0859, "step": 46 }, { "epoch": 4.59, "learning_rate": 0.00010603180954286287, "loss": 0.095, "step": 47 }, { "epoch": 4.68, "learning_rate": 0.00010403120936280886, "loss": 0.2122, "step": 48 }, { "epoch": 4.78, "learning_rate": 0.00010203060918275482, "loss": 0.1394, "step": 49 }, { "epoch": 4.88, "learning_rate": 0.00010003000900270081, "loss": 0.1041, "step": 50 }, { "epoch": 4.98, "learning_rate": 9.802940882264679e-05, "loss": 0.1112, "step": 51 }, { "epoch": 5.07, "learning_rate": 9.602880864259278e-05, "loss": 0.0672, "step": 52 }, { "epoch": 5.17, "learning_rate": 9.402820846253876e-05, "loss": 0.0485, "step": 53 }, { "epoch": 5.27, "learning_rate": 9.202760828248476e-05, "loss": 0.0797, "step": 54 }, { "epoch": 5.37, "learning_rate": 9.002700810243074e-05, "loss": 0.0613, "step": 55 }, { "epoch": 5.46, "learning_rate": 8.802640792237672e-05, "loss": 0.043, "step": 56 }, { "epoch": 5.56, "learning_rate": 8.602580774232271e-05, "loss": 0.0752, "step": 57 }, { "epoch": 5.66, "learning_rate": 8.402520756226868e-05, "loss": 0.0598, "step": 58 }, { "epoch": 5.76, "learning_rate": 8.202460738221467e-05, "loss": 0.0928, "step": 59 }, { "epoch": 5.85, "learning_rate": 8.002400720216065e-05, "loss": 0.0539, "step": 60 }, { "epoch": 5.95, "learning_rate": 7.802340702210663e-05, "loss": 0.035, "step": 61 }, { "epoch": 6.05, "learning_rate": 7.602280684205261e-05, "loss": 0.03, "step": 62 }, { "epoch": 6.15, "learning_rate": 7.402220666199861e-05, "loss": 0.0313, "step": 63 }, { "epoch": 6.24, "learning_rate": 7.202160648194459e-05, "loss": 0.0251, "step": 64 }, { "epoch": 6.34, "learning_rate": 7.002100630189057e-05, "loss": 0.0417, "step": 65 }, { "epoch": 6.44, "learning_rate": 6.802040612183656e-05, "loss": 0.034, "step": 66 }, { "epoch": 6.54, "learning_rate": 6.601980594178254e-05, "loss": 0.0225, "step": 67 }, { "epoch": 6.63, "learning_rate": 6.401920576172852e-05, "loss": 0.0421, "step": 68 }, { "epoch": 6.73, "learning_rate": 6.20186055816745e-05, "loss": 0.0271, "step": 69 }, { "epoch": 6.83, "learning_rate": 6.001800540162049e-05, "loss": 0.0353, "step": 70 }, { "epoch": 6.93, "learning_rate": 5.801740522156648e-05, "loss": 0.0321, "step": 71 }, { "epoch": 7.02, "learning_rate": 5.601680504151246e-05, "loss": 0.0251, "step": 72 }, { "epoch": 7.12, "learning_rate": 5.4016204861458444e-05, "loss": 0.0099, "step": 73 }, { "epoch": 7.22, "learning_rate": 5.201560468140443e-05, "loss": 0.0158, "step": 74 }, { "epoch": 7.32, "learning_rate": 5.0015004501350405e-05, "loss": 0.019, "step": 75 }, { "epoch": 7.41, "learning_rate": 4.801440432129639e-05, "loss": 0.0223, "step": 76 }, { "epoch": 7.51, "learning_rate": 4.601380414124238e-05, "loss": 0.0239, "step": 77 }, { "epoch": 7.61, "learning_rate": 4.401320396118836e-05, "loss": 0.0143, "step": 78 }, { "epoch": 7.71, "learning_rate": 4.201260378113434e-05, "loss": 0.0127, "step": 79 }, { "epoch": 7.8, "learning_rate": 4.0012003601080326e-05, "loss": 0.0181, "step": 80 }, { "epoch": 7.9, "learning_rate": 3.801140342102631e-05, "loss": 0.0237, "step": 81 }, { "epoch": 8.0, "learning_rate": 3.6010803240972294e-05, "loss": 0.0265, "step": 82 }, { "epoch": 8.1, "learning_rate": 3.401020306091828e-05, "loss": 0.0115, "step": 83 }, { "epoch": 8.2, "learning_rate": 3.200960288086426e-05, "loss": 0.0175, "step": 84 }, { "epoch": 8.29, "learning_rate": 3.0009002700810245e-05, "loss": 0.0148, "step": 85 }, { "epoch": 8.39, "learning_rate": 2.800840252075623e-05, "loss": 0.0082, "step": 86 }, { "epoch": 8.49, "learning_rate": 2.6007802340702216e-05, "loss": 0.0106, "step": 87 }, { "epoch": 8.59, "learning_rate": 2.4007202160648196e-05, "loss": 0.0154, "step": 88 }, { "epoch": 8.68, "learning_rate": 2.200660198059418e-05, "loss": 0.0132, "step": 89 }, { "epoch": 8.78, "learning_rate": 2.0006001800540163e-05, "loss": 0.0128, "step": 90 } ], "logging_steps": 1, "max_steps": 100, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 10, "total_flos": 1.3384603427119104e+16, "train_batch_size": 1, "trial_name": null, "trial_params": null }