| { | |
| "best_metric": 0.7465175986289978, | |
| "best_model_checkpoint": "experts/mistralic-expert-15/checkpoint-200", | |
| "epoch": 0.06571921465538487, | |
| "eval_steps": 200, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8512, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7338, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7805, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7586, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7571, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8492, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8117, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7952, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8803, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8204, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.786, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8291, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7895, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8262, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8268, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8834, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7672, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7865, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 0.0002, | |
| "loss": 0.8137, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 0.0002, | |
| "loss": 0.7671, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_loss": 0.7465175986289978, | |
| "eval_runtime": 133.0528, | |
| "eval_samples_per_second": 7.516, | |
| "eval_steps_per_second": 3.758, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "mmlu_eval_accuracy": 0.5902724593152844, | |
| "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, | |
| "mmlu_eval_accuracy_anatomy": 0.5, | |
| "mmlu_eval_accuracy_astronomy": 0.8125, | |
| "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, | |
| "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, | |
| "mmlu_eval_accuracy_college_biology": 0.5, | |
| "mmlu_eval_accuracy_college_chemistry": 0.25, | |
| "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, | |
| "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, | |
| "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, | |
| "mmlu_eval_accuracy_college_physics": 0.5454545454545454, | |
| "mmlu_eval_accuracy_computer_security": 0.6363636363636364, | |
| "mmlu_eval_accuracy_conceptual_physics": 0.5, | |
| "mmlu_eval_accuracy_econometrics": 0.5, | |
| "mmlu_eval_accuracy_electrical_engineering": 0.5, | |
| "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, | |
| "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, | |
| "mmlu_eval_accuracy_global_facts": 0.3, | |
| "mmlu_eval_accuracy_high_school_biology": 0.5625, | |
| "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, | |
| "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, | |
| "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, | |
| "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, | |
| "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, | |
| "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, | |
| "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, | |
| "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, | |
| "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, | |
| "mmlu_eval_accuracy_high_school_psychology": 0.85, | |
| "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, | |
| "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, | |
| "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, | |
| "mmlu_eval_accuracy_human_aging": 0.7391304347826086, | |
| "mmlu_eval_accuracy_human_sexuality": 0.5, | |
| "mmlu_eval_accuracy_international_law": 1.0, | |
| "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, | |
| "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, | |
| "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, | |
| "mmlu_eval_accuracy_management": 0.9090909090909091, | |
| "mmlu_eval_accuracy_marketing": 0.88, | |
| "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, | |
| "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, | |
| "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, | |
| "mmlu_eval_accuracy_moral_scenarios": 0.37, | |
| "mmlu_eval_accuracy_nutrition": 0.696969696969697, | |
| "mmlu_eval_accuracy_philosophy": 0.7647058823529411, | |
| "mmlu_eval_accuracy_prehistory": 0.5428571428571428, | |
| "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, | |
| "mmlu_eval_accuracy_professional_law": 0.3941176470588235, | |
| "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, | |
| "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, | |
| "mmlu_eval_accuracy_public_relations": 0.5, | |
| "mmlu_eval_accuracy_security_studies": 0.6296296296296297, | |
| "mmlu_eval_accuracy_sociology": 0.8181818181818182, | |
| "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, | |
| "mmlu_eval_accuracy_virology": 0.5555555555555556, | |
| "mmlu_eval_accuracy_world_religions": 0.7894736842105263, | |
| "mmlu_loss": 1.3589041333441323, | |
| "step": 200 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 9129, | |
| "num_train_epochs": 3, | |
| "save_steps": 200, | |
| "total_flos": 1.0625300432800973e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |