xianchaowu
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•
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Parent(s):
50ab133
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README.md
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@@ -80,71 +80,72 @@ print('after adding lazy lora parameters:')
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model.print_trainable_parameters()
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# trainable params: 0 || all params: 3,660,359,168 || trainable%: 0.0
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```
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## MMLU result:
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## License and intended use
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model.print_trainable_parameters()
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# trainable params: 0 || all params: 3,660,359,168 || trainable%: 0.0
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```
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## MMLU result:
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+
```json
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{"mmlu_loss": 1.8361594152170253,
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"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
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"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
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"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
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"mmlu_eval_accuracy_high_school_psychology": 0.6166666666666667,
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"mmlu_eval_accuracy_public_relations": 0.3333333333333333,
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"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
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"mmlu_eval_accuracy_econometrics": 0.16666666666666666,
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"mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
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"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
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"mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
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"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
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"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
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"mmlu_eval_accuracy_high_school_world_history": 0.5,
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"mmlu_eval_accuracy_marketing": 0.72,
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"mmlu_eval_accuracy_sociology": 0.7272727272727273,
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"mmlu_eval_accuracy_nutrition": 0.5454545454545454,
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"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
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"mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556,
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"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
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"mmlu_eval_accuracy_computer_security": 0.2727272727272727,
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"mmlu_eval_accuracy_miscellaneous": 0.6046511627906976,
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"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
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"mmlu_eval_accuracy_philosophy": 0.4117647058823529,
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"mmlu_eval_accuracy_global_facts": 0.4,
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"mmlu_eval_accuracy_management": 0.2727272727272727,
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"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
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"mmlu_eval_accuracy_moral_scenarios": 0.25,
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"mmlu_eval_accuracy_human_sexuality": 0.5,
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"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
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"mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
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"mmlu_eval_accuracy_electrical_engineering": 0.375,
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"mmlu_eval_accuracy_professional_medicine": 0.45161290322580644,
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"mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666,
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"mmlu_eval_accuracy_high_school_biology": 0.3125,
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"mmlu_eval_accuracy_astronomy": 0.4375,
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"mmlu_eval_accuracy_security_studies": 0.4074074074074074,
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"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
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"mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
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"mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
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"mmlu_eval_accuracy_moral_disputes": 0.39473684210526316,
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"mmlu_eval_accuracy_anatomy": 0.5,
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"mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
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"mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
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"mmlu_eval_accuracy_high_school_geography": 0.5909090909090909,
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"mmlu_eval_accuracy_college_chemistry": 0.125,
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"mmlu_eval_accuracy_professional_psychology": 0.36231884057971014,
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"mmlu_eval_accuracy_virology": 0.4444444444444444,
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"mmlu_eval_accuracy_international_law": 0.8461538461538461,
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"mmlu_eval_accuracy_medical_genetics": 0.8181818181818182,
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"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
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"mmlu_eval_accuracy_professional_law": 0.34705882352941175,
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"mmlu_eval_accuracy_college_biology": 0.25,
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"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
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"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
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"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
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"mmlu_eval_accuracy_high_school_physics": 0.29411764705882354,
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"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
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"mmlu_eval_accuracy": 0.4435841258637352,
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"epoch": 1.36}
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```
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## License and intended use
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