{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.9504950495049505, "eval_steps": 7, "global_step": 50, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.039603960396039604, "grad_norm": 0.2005040943622589, "learning_rate": 0.0001, "loss": 1.222, "step": 1 }, { "epoch": 0.039603960396039604, "eval_loss": 1.2184828519821167, "eval_runtime": 135.46, "eval_samples_per_second": 7.412, "eval_steps_per_second": 0.93, "step": 1 }, { "epoch": 0.07920792079207921, "grad_norm": 0.19737568497657776, "learning_rate": 0.0002, "loss": 1.2035, "step": 2 }, { "epoch": 0.1188118811881188, "grad_norm": 0.22430424392223358, "learning_rate": 0.00019978589232386035, "loss": 1.2364, "step": 3 }, { "epoch": 0.15841584158415842, "grad_norm": 0.3319801986217499, "learning_rate": 0.00019914448613738106, "loss": 1.1084, "step": 4 }, { "epoch": 0.19801980198019803, "grad_norm": 0.2900150418281555, "learning_rate": 0.00019807852804032305, "loss": 1.0104, "step": 5 }, { "epoch": 0.2376237623762376, "grad_norm": 0.3314291834831238, "learning_rate": 0.00019659258262890683, "loss": 0.9168, "step": 6 }, { "epoch": 0.27722772277227725, "grad_norm": 0.4147993326187134, "learning_rate": 0.0001946930129495106, "loss": 0.9168, "step": 7 }, { "epoch": 0.27722772277227725, "eval_loss": 0.8507946729660034, "eval_runtime": 135.7758, "eval_samples_per_second": 7.395, "eval_steps_per_second": 0.928, "step": 7 }, { "epoch": 0.31683168316831684, "grad_norm": 0.32303664088249207, "learning_rate": 0.0001923879532511287, "loss": 0.8745, "step": 8 }, { "epoch": 0.3564356435643564, "grad_norm": 0.19321317970752716, "learning_rate": 0.00018968727415326884, "loss": 0.8174, "step": 9 }, { "epoch": 0.39603960396039606, "grad_norm": 0.18172240257263184, "learning_rate": 0.00018660254037844388, "loss": 0.8014, "step": 10 }, { "epoch": 0.43564356435643564, "grad_norm": 0.13811971247196198, "learning_rate": 0.00018314696123025454, "loss": 0.7884, "step": 11 }, { "epoch": 0.4752475247524752, "grad_norm": 0.13254143297672272, "learning_rate": 0.00017933533402912354, "loss": 0.7617, "step": 12 }, { "epoch": 0.5148514851485149, "grad_norm": 0.10325208306312561, "learning_rate": 0.00017518398074789775, "loss": 0.7857, "step": 13 }, { "epoch": 0.5544554455445545, "grad_norm": 0.08808338642120361, "learning_rate": 0.00017071067811865476, "loss": 0.7745, "step": 14 }, { "epoch": 0.5544554455445545, "eval_loss": 0.7478359937667847, "eval_runtime": 135.6094, "eval_samples_per_second": 7.404, "eval_steps_per_second": 0.929, "step": 14 }, { "epoch": 0.594059405940594, "grad_norm": 0.0986776053905487, "learning_rate": 0.00016593458151000688, "loss": 0.7461, "step": 15 }, { "epoch": 0.6336633663366337, "grad_norm": 0.1371486485004425, "learning_rate": 0.00016087614290087208, "loss": 0.7296, "step": 16 }, { "epoch": 0.6732673267326733, "grad_norm": 0.12637566030025482, "learning_rate": 0.00015555702330196023, "loss": 0.776, "step": 17 }, { "epoch": 0.7128712871287128, "grad_norm": 0.09393499791622162, "learning_rate": 0.00015000000000000001, "loss": 0.7159, "step": 18 }, { "epoch": 0.7524752475247525, "grad_norm": 0.07980824261903763, "learning_rate": 0.00014422886902190014, "loss": 0.7219, "step": 19 }, { "epoch": 0.7920792079207921, "grad_norm": 0.07864726334810257, "learning_rate": 0.000138268343236509, "loss": 0.7282, "step": 20 }, { "epoch": 0.8316831683168316, "grad_norm": 0.08049978315830231, "learning_rate": 0.00013214394653031616, "loss": 0.7129, "step": 21 }, { "epoch": 0.8316831683168316, "eval_loss": 0.713334321975708, "eval_runtime": 135.7568, "eval_samples_per_second": 7.396, "eval_steps_per_second": 0.928, "step": 21 }, { "epoch": 0.8712871287128713, "grad_norm": 0.07534715533256531, "learning_rate": 0.00012588190451025207, "loss": 0.7116, "step": 22 }, { "epoch": 0.9108910891089109, "grad_norm": 0.07699955999851227, "learning_rate": 0.00011950903220161285, "loss": 0.7159, "step": 23 }, { "epoch": 0.9504950495049505, "grad_norm": 0.09450427442789078, "learning_rate": 0.00011305261922200519, "loss": 0.7165, "step": 24 }, { "epoch": 0.9900990099009901, "grad_norm": 0.08074381202459335, "learning_rate": 0.00010654031292301432, "loss": 0.6931, "step": 25 }, { "epoch": 1.0297029702970297, "grad_norm": 0.06008383259177208, "learning_rate": 0.0001, "loss": 0.689, "step": 26 }, { "epoch": 1.0396039603960396, "grad_norm": 0.05818495154380798, "learning_rate": 9.345968707698569e-05, "loss": 0.6787, "step": 27 }, { "epoch": 1.0792079207920793, "grad_norm": 0.06621662527322769, "learning_rate": 8.694738077799488e-05, "loss": 0.7005, "step": 28 }, { "epoch": 1.0792079207920793, "eval_loss": 0.6945069432258606, "eval_runtime": 135.5698, "eval_samples_per_second": 7.406, "eval_steps_per_second": 0.929, "step": 28 }, { "epoch": 1.118811881188119, "grad_norm": 0.07372936606407166, "learning_rate": 8.049096779838719e-05, "loss": 0.6715, "step": 29 }, { "epoch": 1.1584158415841583, "grad_norm": 0.07513756304979324, "learning_rate": 7.411809548974792e-05, "loss": 0.6807, "step": 30 }, { "epoch": 1.198019801980198, "grad_norm": 0.06907230615615845, "learning_rate": 6.785605346968386e-05, "loss": 0.6782, "step": 31 }, { "epoch": 1.2376237623762376, "grad_norm": 0.07009885460138321, "learning_rate": 6.173165676349103e-05, "loss": 0.6685, "step": 32 }, { "epoch": 1.2772277227722773, "grad_norm": 0.06578447669744492, "learning_rate": 5.577113097809989e-05, "loss": 0.6894, "step": 33 }, { "epoch": 1.316831683168317, "grad_norm": 0.0658915713429451, "learning_rate": 5.000000000000002e-05, "loss": 0.6888, "step": 34 }, { "epoch": 1.3564356435643563, "grad_norm": 0.057827264070510864, "learning_rate": 4.444297669803981e-05, "loss": 0.6863, "step": 35 }, { "epoch": 1.3564356435643563, "eval_loss": 0.6855179071426392, "eval_runtime": 135.8224, "eval_samples_per_second": 7.392, "eval_steps_per_second": 0.928, "step": 35 }, { "epoch": 1.396039603960396, "grad_norm": 0.05925939604640007, "learning_rate": 3.9123857099127936e-05, "loss": 0.6888, "step": 36 }, { "epoch": 1.4356435643564356, "grad_norm": 0.06030790135264397, "learning_rate": 3.406541848999312e-05, "loss": 0.6721, "step": 37 }, { "epoch": 1.4752475247524752, "grad_norm": 0.06920236349105835, "learning_rate": 2.9289321881345254e-05, "loss": 0.6801, "step": 38 }, { "epoch": 1.5148514851485149, "grad_norm": 0.06107211485505104, "learning_rate": 2.4816019252102273e-05, "loss": 0.6484, "step": 39 }, { "epoch": 1.5544554455445545, "grad_norm": 0.06593398004770279, "learning_rate": 2.0664665970876496e-05, "loss": 0.6821, "step": 40 }, { "epoch": 1.5940594059405941, "grad_norm": 0.058774009346961975, "learning_rate": 1.6853038769745467e-05, "loss": 0.6761, "step": 41 }, { "epoch": 1.6336633663366338, "grad_norm": 0.06204603239893913, "learning_rate": 1.339745962155613e-05, "loss": 0.6688, "step": 42 }, { "epoch": 1.6336633663366338, "eval_loss": 0.6808369159698486, "eval_runtime": 135.5705, "eval_samples_per_second": 7.406, "eval_steps_per_second": 0.929, "step": 42 }, { "epoch": 1.6732673267326734, "grad_norm": 0.057622041553258896, "learning_rate": 1.0312725846731175e-05, "loss": 0.6675, "step": 43 }, { "epoch": 1.7128712871287128, "grad_norm": 0.05819413810968399, "learning_rate": 7.612046748871327e-06, "loss": 0.6867, "step": 44 }, { "epoch": 1.7524752475247525, "grad_norm": 0.05817948281764984, "learning_rate": 5.306987050489442e-06, "loss": 0.6813, "step": 45 }, { "epoch": 1.7920792079207921, "grad_norm": 0.058505669236183167, "learning_rate": 3.40741737109318e-06, "loss": 0.6702, "step": 46 }, { "epoch": 1.8316831683168315, "grad_norm": 0.05659426376223564, "learning_rate": 1.921471959676957e-06, "loss": 0.6635, "step": 47 }, { "epoch": 1.8712871287128712, "grad_norm": 0.06038310378789902, "learning_rate": 8.555138626189618e-07, "loss": 0.6519, "step": 48 }, { "epoch": 1.9108910891089108, "grad_norm": 0.05925183743238449, "learning_rate": 2.141076761396521e-07, "loss": 0.6772, "step": 49 }, { "epoch": 1.9108910891089108, "eval_loss": 0.6800007820129395, "eval_runtime": 135.613, "eval_samples_per_second": 7.403, "eval_steps_per_second": 0.929, "step": 49 }, { "epoch": 1.9504950495049505, "grad_norm": 0.05675528571009636, "learning_rate": 0.0, "loss": 0.664, "step": 50 } ], "logging_steps": 1, "max_steps": 50, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 25, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2.984041808658432e+17, "train_batch_size": 2, "trial_name": null, "trial_params": null }