{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.5789473684210527, "eval_steps": 5, "global_step": 50, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.031578947368421054, "grad_norm": 1.4201377630233765, "learning_rate": 2e-05, "loss": 1.2567, "step": 1 }, { "epoch": 0.031578947368421054, "eval_loss": 1.2329180240631104, "eval_runtime": 9.7426, "eval_samples_per_second": 4.106, "eval_steps_per_second": 1.026, "step": 1 }, { "epoch": 0.06315789473684211, "grad_norm": 1.568509817123413, "learning_rate": 4e-05, "loss": 1.3621, "step": 2 }, { "epoch": 0.09473684210526316, "grad_norm": 1.3656419515609741, "learning_rate": 6e-05, "loss": 1.3324, "step": 3 }, { "epoch": 0.12631578947368421, "grad_norm": 1.3824914693832397, "learning_rate": 8e-05, "loss": 1.2106, "step": 4 }, { "epoch": 0.15789473684210525, "grad_norm": 1.1639671325683594, "learning_rate": 0.0001, "loss": 1.0618, "step": 5 }, { "epoch": 0.15789473684210525, "eval_loss": 1.0954365730285645, "eval_runtime": 9.9704, "eval_samples_per_second": 4.012, "eval_steps_per_second": 1.003, "step": 5 }, { "epoch": 0.18947368421052632, "grad_norm": 1.0370177030563354, "learning_rate": 0.00012, "loss": 1.0542, "step": 6 }, { "epoch": 0.22105263157894736, "grad_norm": 0.7691447138786316, "learning_rate": 0.00014, "loss": 1.0324, "step": 7 }, { "epoch": 0.25263157894736843, "grad_norm": 0.8053244948387146, "learning_rate": 0.00016, "loss": 1.0138, "step": 8 }, { "epoch": 0.28421052631578947, "grad_norm": 1.1447694301605225, "learning_rate": 0.00018, "loss": 1.0227, "step": 9 }, { "epoch": 0.3157894736842105, "grad_norm": 0.7161327004432678, "learning_rate": 0.0002, "loss": 0.8714, "step": 10 }, { "epoch": 0.3157894736842105, "eval_loss": 0.8887165188789368, "eval_runtime": 9.9898, "eval_samples_per_second": 4.004, "eval_steps_per_second": 1.001, "step": 10 }, { "epoch": 0.3473684210526316, "grad_norm": 0.8024160861968994, "learning_rate": 0.0001996917333733128, "loss": 0.87, "step": 11 }, { "epoch": 0.37894736842105264, "grad_norm": 0.6736723184585571, "learning_rate": 0.00019876883405951377, "loss": 0.9436, "step": 12 }, { "epoch": 0.4105263157894737, "grad_norm": 0.4639568626880646, "learning_rate": 0.00019723699203976766, "loss": 0.9028, "step": 13 }, { "epoch": 0.4421052631578947, "grad_norm": 0.4748899042606354, "learning_rate": 0.00019510565162951537, "loss": 0.8735, "step": 14 }, { "epoch": 0.47368421052631576, "grad_norm": 0.5926955938339233, "learning_rate": 0.0001923879532511287, "loss": 0.9889, "step": 15 }, { "epoch": 0.47368421052631576, "eval_loss": 0.810930609703064, "eval_runtime": 9.9943, "eval_samples_per_second": 4.002, "eval_steps_per_second": 1.001, "step": 15 }, { "epoch": 0.5052631578947369, "grad_norm": 0.4821624755859375, "learning_rate": 0.0001891006524188368, "loss": 0.8502, "step": 16 }, { "epoch": 0.5368421052631579, "grad_norm": 0.43275609612464905, "learning_rate": 0.00018526401643540922, "loss": 0.7635, "step": 17 }, { "epoch": 0.5684210526315789, "grad_norm": 0.5297432541847229, "learning_rate": 0.00018090169943749476, "loss": 0.7952, "step": 18 }, { "epoch": 0.6, "grad_norm": 0.5860052704811096, "learning_rate": 0.0001760405965600031, "loss": 1.0571, "step": 19 }, { "epoch": 0.631578947368421, "grad_norm": 0.47979608178138733, "learning_rate": 0.00017071067811865476, "loss": 0.7376, "step": 20 }, { "epoch": 0.631578947368421, "eval_loss": 0.779615044593811, "eval_runtime": 9.9911, "eval_samples_per_second": 4.004, "eval_steps_per_second": 1.001, "step": 20 }, { "epoch": 0.6631578947368421, "grad_norm": 0.36290550231933594, "learning_rate": 0.00016494480483301836, "loss": 0.7565, "step": 21 }, { "epoch": 0.6947368421052632, "grad_norm": 0.43947532773017883, "learning_rate": 0.00015877852522924732, "loss": 0.7572, "step": 22 }, { "epoch": 0.7263157894736842, "grad_norm": 0.7117337584495544, "learning_rate": 0.0001522498564715949, "loss": 0.8235, "step": 23 }, { "epoch": 0.7578947368421053, "grad_norm": 0.41661393642425537, "learning_rate": 0.00014539904997395468, "loss": 0.7186, "step": 24 }, { "epoch": 0.7894736842105263, "grad_norm": 0.43488454818725586, "learning_rate": 0.000138268343236509, "loss": 0.8079, "step": 25 }, { "epoch": 0.7894736842105263, "eval_loss": 0.7661096453666687, "eval_runtime": 9.9986, "eval_samples_per_second": 4.001, "eval_steps_per_second": 1.0, "step": 25 }, { "epoch": 0.8210526315789474, "grad_norm": 0.5269589424133301, "learning_rate": 0.00013090169943749476, "loss": 0.9215, "step": 26 }, { "epoch": 0.8526315789473684, "grad_norm": 0.43179982900619507, "learning_rate": 0.00012334453638559057, "loss": 0.7455, "step": 27 }, { "epoch": 0.8842105263157894, "grad_norm": 0.5215819478034973, "learning_rate": 0.0001156434465040231, "loss": 0.861, "step": 28 }, { "epoch": 0.9157894736842105, "grad_norm": 0.3976958692073822, "learning_rate": 0.0001078459095727845, "loss": 0.7871, "step": 29 }, { "epoch": 0.9473684210526315, "grad_norm": 0.41575056314468384, "learning_rate": 0.0001, "loss": 0.7532, "step": 30 }, { "epoch": 0.9473684210526315, "eval_loss": 0.7560582160949707, "eval_runtime": 9.9942, "eval_samples_per_second": 4.002, "eval_steps_per_second": 1.001, "step": 30 }, { "epoch": 0.9789473684210527, "grad_norm": 0.49081918597221375, "learning_rate": 9.215409042721552e-05, "loss": 0.6406, "step": 31 }, { "epoch": 1.0105263157894737, "grad_norm": 0.5961962938308716, "learning_rate": 8.435655349597689e-05, "loss": 1.0858, "step": 32 }, { "epoch": 1.0421052631578946, "grad_norm": 0.3866117596626282, "learning_rate": 7.66554636144095e-05, "loss": 0.7171, "step": 33 }, { "epoch": 1.0736842105263158, "grad_norm": 0.4523923695087433, "learning_rate": 6.909830056250527e-05, "loss": 0.6907, "step": 34 }, { "epoch": 1.1052631578947367, "grad_norm": 0.3665292263031006, "learning_rate": 6.173165676349103e-05, "loss": 0.7877, "step": 35 }, { "epoch": 1.1052631578947367, "eval_loss": 0.7507282495498657, "eval_runtime": 9.999, "eval_samples_per_second": 4.0, "eval_steps_per_second": 1.0, "step": 35 }, { "epoch": 1.1368421052631579, "grad_norm": 0.3150940239429474, "learning_rate": 5.4600950026045326e-05, "loss": 0.61, "step": 36 }, { "epoch": 1.168421052631579, "grad_norm": 0.39909401535987854, "learning_rate": 4.7750143528405126e-05, "loss": 0.7461, "step": 37 }, { "epoch": 1.2, "grad_norm": 0.3504452705383301, "learning_rate": 4.12214747707527e-05, "loss": 0.7198, "step": 38 }, { "epoch": 1.231578947368421, "grad_norm": 0.3640637993812561, "learning_rate": 3.5055195166981645e-05, "loss": 0.5523, "step": 39 }, { "epoch": 1.263157894736842, "grad_norm": 0.3753401041030884, "learning_rate": 2.9289321881345254e-05, "loss": 0.7139, "step": 40 }, { "epoch": 1.263157894736842, "eval_loss": 0.752138614654541, "eval_runtime": 9.9936, "eval_samples_per_second": 4.003, "eval_steps_per_second": 1.001, "step": 40 }, { "epoch": 1.2947368421052632, "grad_norm": 0.3601594865322113, "learning_rate": 2.3959403439996907e-05, "loss": 0.6394, "step": 41 }, { "epoch": 1.3263157894736843, "grad_norm": 0.40832358598709106, "learning_rate": 1.9098300562505266e-05, "loss": 0.8728, "step": 42 }, { "epoch": 1.3578947368421053, "grad_norm": 0.44947680830955505, "learning_rate": 1.4735983564590783e-05, "loss": 0.9453, "step": 43 }, { "epoch": 1.3894736842105262, "grad_norm": 0.3563525080680847, "learning_rate": 1.0899347581163221e-05, "loss": 0.5642, "step": 44 }, { "epoch": 1.4210526315789473, "grad_norm": 0.4350314438343048, "learning_rate": 7.612046748871327e-06, "loss": 0.7842, "step": 45 }, { "epoch": 1.4210526315789473, "eval_loss": 0.7522160410881042, "eval_runtime": 9.9932, "eval_samples_per_second": 4.003, "eval_steps_per_second": 1.001, "step": 45 }, { "epoch": 1.4526315789473685, "grad_norm": 0.3606291711330414, "learning_rate": 4.8943483704846475e-06, "loss": 0.5951, "step": 46 }, { "epoch": 1.4842105263157894, "grad_norm": 0.35893508791923523, "learning_rate": 2.7630079602323442e-06, "loss": 0.7562, "step": 47 }, { "epoch": 1.5157894736842106, "grad_norm": 0.4855940341949463, "learning_rate": 1.231165940486234e-06, "loss": 0.9173, "step": 48 }, { "epoch": 1.5473684210526315, "grad_norm": 0.48101991415023804, "learning_rate": 3.0826662668720364e-07, "loss": 0.8475, "step": 49 }, { "epoch": 1.5789473684210527, "grad_norm": 0.3735427260398865, "learning_rate": 0.0, "loss": 0.8305, "step": 50 }, { "epoch": 1.5789473684210527, "eval_loss": 0.7518041729927063, "eval_runtime": 9.9913, "eval_samples_per_second": 4.003, "eval_steps_per_second": 1.001, "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": 1.112830925340672e+17, "train_batch_size": 4, "trial_name": null, "trial_params": null }