{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.05523844595838704, "eval_steps": 5, "global_step": 50, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0011047689191677407, "grad_norm": NaN, "learning_rate": 2e-05, "loss": 0.0, "step": 1 }, { "epoch": 0.0011047689191677407, "eval_loss": NaN, "eval_runtime": 88.3307, "eval_samples_per_second": 12.951, "eval_steps_per_second": 3.238, "step": 1 }, { "epoch": 0.0022095378383354815, "grad_norm": NaN, "learning_rate": 4e-05, "loss": 0.0, "step": 2 }, { "epoch": 0.0033143067575032224, "grad_norm": NaN, "learning_rate": 6e-05, "loss": 0.0, "step": 3 }, { "epoch": 0.004419075676670963, "grad_norm": NaN, "learning_rate": 8e-05, "loss": 0.0, "step": 4 }, { "epoch": 0.005523844595838704, "grad_norm": NaN, "learning_rate": 0.0001, "loss": 0.0, "step": 5 }, { "epoch": 0.005523844595838704, "eval_loss": NaN, "eval_runtime": 88.6734, "eval_samples_per_second": 12.901, "eval_steps_per_second": 3.225, "step": 5 }, { "epoch": 0.006628613515006445, "grad_norm": NaN, "learning_rate": 0.00012, "loss": 0.0, "step": 6 }, { "epoch": 0.007733382434174185, "grad_norm": NaN, "learning_rate": 0.00014, "loss": 0.0, "step": 7 }, { "epoch": 0.008838151353341926, "grad_norm": NaN, "learning_rate": 0.00016, "loss": 0.0, "step": 8 }, { "epoch": 0.009942920272509667, "grad_norm": NaN, "learning_rate": 0.00018, "loss": 0.0, "step": 9 }, { "epoch": 0.011047689191677408, "grad_norm": NaN, "learning_rate": 0.0002, "loss": 0.0, "step": 10 }, { "epoch": 0.011047689191677408, "eval_loss": NaN, "eval_runtime": 88.8694, "eval_samples_per_second": 12.873, "eval_steps_per_second": 3.218, "step": 10 }, { "epoch": 0.012152458110845149, "grad_norm": NaN, "learning_rate": 0.0001996917333733128, "loss": 0.0, "step": 11 }, { "epoch": 0.01325722703001289, "grad_norm": NaN, "learning_rate": 0.00019876883405951377, "loss": 0.0, "step": 12 }, { "epoch": 0.014361995949180629, "grad_norm": NaN, "learning_rate": 0.00019723699203976766, "loss": 0.0, "step": 13 }, { "epoch": 0.01546676486834837, "grad_norm": NaN, "learning_rate": 0.00019510565162951537, "loss": 0.0, "step": 14 }, { "epoch": 0.01657153378751611, "grad_norm": NaN, "learning_rate": 0.0001923879532511287, "loss": 0.0, "step": 15 }, { "epoch": 0.01657153378751611, "eval_loss": NaN, "eval_runtime": 88.8771, "eval_samples_per_second": 12.872, "eval_steps_per_second": 3.218, "step": 15 }, { "epoch": 0.01767630270668385, "grad_norm": NaN, "learning_rate": 0.0001891006524188368, "loss": 0.0, "step": 16 }, { "epoch": 0.018781071625851593, "grad_norm": NaN, "learning_rate": 0.00018526401643540922, "loss": 0.0, "step": 17 }, { "epoch": 0.019885840545019334, "grad_norm": NaN, "learning_rate": 0.00018090169943749476, "loss": 0.0, "step": 18 }, { "epoch": 0.020990609464187075, "grad_norm": NaN, "learning_rate": 0.0001760405965600031, "loss": 0.0, "step": 19 }, { "epoch": 0.022095378383354815, "grad_norm": NaN, "learning_rate": 0.00017071067811865476, "loss": 0.0, "step": 20 }, { "epoch": 0.022095378383354815, "eval_loss": NaN, "eval_runtime": 88.759, "eval_samples_per_second": 12.889, "eval_steps_per_second": 3.222, "step": 20 }, { "epoch": 0.023200147302522556, "grad_norm": NaN, "learning_rate": 0.00016494480483301836, "loss": 0.0, "step": 21 }, { "epoch": 0.024304916221690297, "grad_norm": NaN, "learning_rate": 0.00015877852522924732, "loss": 0.0, "step": 22 }, { "epoch": 0.02540968514085804, "grad_norm": NaN, "learning_rate": 0.0001522498564715949, "loss": 0.0, "step": 23 }, { "epoch": 0.02651445406002578, "grad_norm": NaN, "learning_rate": 0.00014539904997395468, "loss": 0.0, "step": 24 }, { "epoch": 0.02761922297919352, "grad_norm": NaN, "learning_rate": 0.000138268343236509, "loss": 0.0, "step": 25 }, { "epoch": 0.02761922297919352, "eval_loss": NaN, "eval_runtime": 88.7778, "eval_samples_per_second": 12.886, "eval_steps_per_second": 3.222, "step": 25 }, { "epoch": 0.028723991898361258, "grad_norm": NaN, "learning_rate": 0.00013090169943749476, "loss": 0.0, "step": 26 }, { "epoch": 0.029828760817529, "grad_norm": NaN, "learning_rate": 0.00012334453638559057, "loss": 0.0, "step": 27 }, { "epoch": 0.03093352973669674, "grad_norm": NaN, "learning_rate": 0.0001156434465040231, "loss": 0.0, "step": 28 }, { "epoch": 0.03203829865586448, "grad_norm": NaN, "learning_rate": 0.0001078459095727845, "loss": 0.0, "step": 29 }, { "epoch": 0.03314306757503222, "grad_norm": NaN, "learning_rate": 0.0001, "loss": 0.0, "step": 30 }, { "epoch": 0.03314306757503222, "eval_loss": NaN, "eval_runtime": 88.7745, "eval_samples_per_second": 12.887, "eval_steps_per_second": 3.222, "step": 30 }, { "epoch": 0.03424783649419996, "grad_norm": NaN, "learning_rate": 9.215409042721552e-05, "loss": 0.0, "step": 31 }, { "epoch": 0.0353526054133677, "grad_norm": NaN, "learning_rate": 8.435655349597689e-05, "loss": 0.0, "step": 32 }, { "epoch": 0.036457374332535444, "grad_norm": NaN, "learning_rate": 7.66554636144095e-05, "loss": 0.0, "step": 33 }, { "epoch": 0.037562143251703185, "grad_norm": NaN, "learning_rate": 6.909830056250527e-05, "loss": 0.0, "step": 34 }, { "epoch": 0.038666912170870926, "grad_norm": NaN, "learning_rate": 6.173165676349103e-05, "loss": 0.0, "step": 35 }, { "epoch": 0.038666912170870926, "eval_loss": NaN, "eval_runtime": 88.7833, "eval_samples_per_second": 12.885, "eval_steps_per_second": 3.221, "step": 35 }, { "epoch": 0.03977168109003867, "grad_norm": NaN, "learning_rate": 5.4600950026045326e-05, "loss": 0.0, "step": 36 }, { "epoch": 0.04087645000920641, "grad_norm": NaN, "learning_rate": 4.7750143528405126e-05, "loss": 0.0, "step": 37 }, { "epoch": 0.04198121892837415, "grad_norm": NaN, "learning_rate": 4.12214747707527e-05, "loss": 0.0, "step": 38 }, { "epoch": 0.04308598784754189, "grad_norm": NaN, "learning_rate": 3.5055195166981645e-05, "loss": 0.0, "step": 39 }, { "epoch": 0.04419075676670963, "grad_norm": NaN, "learning_rate": 2.9289321881345254e-05, "loss": 0.0, "step": 40 }, { "epoch": 0.04419075676670963, "eval_loss": NaN, "eval_runtime": 88.7845, "eval_samples_per_second": 12.885, "eval_steps_per_second": 3.221, "step": 40 }, { "epoch": 0.04529552568587737, "grad_norm": NaN, "learning_rate": 2.3959403439996907e-05, "loss": 0.0, "step": 41 }, { "epoch": 0.04640029460504511, "grad_norm": NaN, "learning_rate": 1.9098300562505266e-05, "loss": 0.0, "step": 42 }, { "epoch": 0.047505063524212854, "grad_norm": NaN, "learning_rate": 1.4735983564590783e-05, "loss": 0.0, "step": 43 }, { "epoch": 0.048609832443380595, "grad_norm": NaN, "learning_rate": 1.0899347581163221e-05, "loss": 0.0, "step": 44 }, { "epoch": 0.049714601362548336, "grad_norm": NaN, "learning_rate": 7.612046748871327e-06, "loss": 0.0, "step": 45 }, { "epoch": 0.049714601362548336, "eval_loss": NaN, "eval_runtime": 88.803, "eval_samples_per_second": 12.882, "eval_steps_per_second": 3.221, "step": 45 }, { "epoch": 0.05081937028171608, "grad_norm": NaN, "learning_rate": 4.8943483704846475e-06, "loss": 0.0, "step": 46 }, { "epoch": 0.05192413920088382, "grad_norm": NaN, "learning_rate": 2.7630079602323442e-06, "loss": 0.0, "step": 47 }, { "epoch": 0.05302890812005156, "grad_norm": NaN, "learning_rate": 1.231165940486234e-06, "loss": 0.0, "step": 48 }, { "epoch": 0.0541336770392193, "grad_norm": NaN, "learning_rate": 3.0826662668720364e-07, "loss": 0.0, "step": 49 }, { "epoch": 0.05523844595838704, "grad_norm": NaN, "learning_rate": 0.0, "loss": 0.0, "step": 50 }, { "epoch": 0.05523844595838704, "eval_loss": NaN, "eval_runtime": 88.787, "eval_samples_per_second": 12.885, "eval_steps_per_second": 3.221, "step": 50 } ], "logging_steps": 1, "max_steps": 50, "num_input_tokens_seen": 0, "num_train_epochs": 1, "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": 1.95940325523456e+16, "train_batch_size": 4, "trial_name": null, "trial_params": null }