Update README.md
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README.md
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@@ -38,4 +38,411 @@ Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_fine
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```
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python3 trl_finetune.py --config configs/yi_6b.yml
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```
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```
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python3 trl_finetune.py --config configs/yi_6b.yml
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```
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+
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# Dataset Card for Evaluation run of HenryJJ/Instruct_Yi-6B_Dolly15K
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<!-- Provide a quick summary of the dataset. -->
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Dataset automatically created during the evaluation run of model [HenryJJ/Instruct_Yi-6B_Dolly15K](https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly15K) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
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The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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To load the details from a run, you can for instance do the following:
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```python
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_HenryJJ__Instruct_Yi-6B_Dolly15K",
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"harness_winogrande_5",
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split="train")
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```
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## Latest results
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These are the [latest results from run 2024-01-06T09:45:44.755529](https://huggingface.co/datasets/open-llm-leaderboard/details_HenryJJ__Instruct_Yi-6B_Dolly15K/blob/main/results_2024-01-06T09-45-44.755529.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
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```python
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{
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"all": {
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"acc": 0.6267070831158695,
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"acc_stderr": 0.03222713761046951,
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"acc_norm": 0.6343965374667763,
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"acc_norm_stderr": 0.032887983229700546,
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"mc1": 0.28886168910648713,
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"mc1_stderr": 0.01586634640138431,
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"mc2": 0.42839602626744816,
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"mc2_stderr": 0.014270024501714959
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},
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"harness|arc:challenge|25": {
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"acc": 0.5,
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"acc_stderr": 0.014611390804670088,
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"acc_norm": 0.5486348122866894,
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"acc_norm_stderr": 0.014542104569955265
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},
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"harness|hellaswag|10": {
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"acc": 0.5654252141007767,
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"acc_stderr": 0.004946879874422681,
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"acc_norm": 0.7587134037044413,
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"acc_norm_stderr": 0.00426989301158892
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},
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"harness|hendrycksTest-abstract_algebra|5": {
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"acc": 0.35,
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"acc_stderr": 0.0479372485441102,
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"acc_norm": 0.35,
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"acc_norm_stderr": 0.0479372485441102
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},
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"harness|hendrycksTest-anatomy|5": {
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"acc": 0.562962962962963,
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"acc_stderr": 0.04284958639753401,
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"acc_norm": 0.562962962962963,
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"acc_norm_stderr": 0.04284958639753401
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.6776315789473685,
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"acc_stderr": 0.03803510248351585,
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"acc_norm": 0.6776315789473685,
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"acc_norm_stderr": 0.03803510248351585
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},
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"harness|hendrycksTest-business_ethics|5": {
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"acc": 0.7,
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"acc_stderr": 0.046056618647183814,
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"acc_norm": 0.7,
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"acc_norm_stderr": 0.046056618647183814
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},
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"harness|hendrycksTest-clinical_knowledge|5": {
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"acc": 0.690566037735849,
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"acc_stderr": 0.028450154794118637,
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"acc_norm": 0.690566037735849,
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"acc_norm_stderr": 0.028450154794118637
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},
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"harness|hendrycksTest-college_biology|5": {
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"acc": 0.6666666666666666,
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"acc_stderr": 0.039420826399272135,
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"acc_norm": 0.6666666666666666,
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"acc_norm_stderr": 0.039420826399272135
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},
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"harness|hendrycksTest-college_chemistry|5": {
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"acc": 0.41,
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"acc_stderr": 0.049431107042371025,
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"acc_norm": 0.41,
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"acc_norm_stderr": 0.049431107042371025
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},
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"harness|hendrycksTest-college_computer_science|5": {
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"acc": 0.44,
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"acc_stderr": 0.04988876515698589,
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"acc_norm": 0.44,
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"acc_norm_stderr": 0.04988876515698589
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},
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"harness|hendrycksTest-college_mathematics|5": {
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"acc": 0.36,
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"acc_stderr": 0.04824181513244218,
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"acc_norm": 0.36,
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"acc_norm_stderr": 0.04824181513244218
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},
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"harness|hendrycksTest-college_medicine|5": {
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"acc": 0.6069364161849711,
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"acc_stderr": 0.03724249595817731,
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"acc_norm": 0.6069364161849711,
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"acc_norm_stderr": 0.03724249595817731
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},
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"harness|hendrycksTest-college_physics|5": {
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"acc": 0.3235294117647059,
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"acc_stderr": 0.04655010411319617,
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"acc_norm": 0.3235294117647059,
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"acc_norm_stderr": 0.04655010411319617
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},
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"harness|hendrycksTest-computer_security|5": {
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"acc": 0.77,
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"acc_stderr": 0.04229525846816507,
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"acc_norm": 0.77,
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"acc_norm_stderr": 0.04229525846816507
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},
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"harness|hendrycksTest-conceptual_physics|5": {
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"acc": 0.6212765957446809,
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"acc_stderr": 0.03170995606040655,
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"acc_norm": 0.6212765957446809,
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"acc_norm_stderr": 0.03170995606040655
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},
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"harness|hendrycksTest-econometrics|5": {
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"acc": 0.35964912280701755,
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"acc_stderr": 0.045144961328736334,
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"acc_norm": 0.35964912280701755,
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"acc_norm_stderr": 0.045144961328736334
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},
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"harness|hendrycksTest-electrical_engineering|5": {
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"acc": 0.6482758620689655,
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"acc_stderr": 0.0397923663749741,
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"acc_norm": 0.6482758620689655,
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"acc_norm_stderr": 0.0397923663749741
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},
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc": 0.4470899470899471,
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"acc_stderr": 0.02560672399577703,
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"acc_norm": 0.4470899470899471,
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"acc_norm_stderr": 0.02560672399577703
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},
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"harness|hendrycksTest-formal_logic|5": {
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"acc": 0.38095238095238093,
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"acc_stderr": 0.04343525428949098,
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"acc_norm": 0.38095238095238093,
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"acc_norm_stderr": 0.04343525428949098
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},
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"harness|hendrycksTest-global_facts|5": {
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"acc": 0.4,
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"acc_stderr": 0.04923659639173309,
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"acc_norm": 0.4,
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"acc_norm_stderr": 0.04923659639173309
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},
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"harness|hendrycksTest-high_school_biology|5": {
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"acc": 0.7774193548387097,
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"acc_stderr": 0.023664216671642525,
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"acc_norm": 0.7774193548387097,
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"acc_norm_stderr": 0.023664216671642525
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},
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"harness|hendrycksTest-high_school_chemistry|5": {
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"acc": 0.4975369458128079,
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"acc_stderr": 0.03517945038691063,
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"acc_norm": 0.4975369458128079,
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"acc_norm_stderr": 0.03517945038691063
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},
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc": 0.64,
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"acc_stderr": 0.04824181513244218,
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"acc_norm": 0.64,
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"acc_norm_stderr": 0.04824181513244218
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},
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"harness|hendrycksTest-high_school_european_history|5": {
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"acc": 0.7393939393939394,
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"acc_stderr": 0.034277431758165236,
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"acc_norm": 0.7393939393939394,
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"acc_norm_stderr": 0.034277431758165236
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},
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"harness|hendrycksTest-high_school_geography|5": {
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"acc": 0.8181818181818182,
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"acc_stderr": 0.0274796030105388,
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"acc_norm": 0.8181818181818182,
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"acc_norm_stderr": 0.0274796030105388
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},
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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"acc": 0.9015544041450777,
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"acc_stderr": 0.021500249576033456,
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"acc_norm": 0.9015544041450777,
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"acc_norm_stderr": 0.021500249576033456
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},
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc": 0.617948717948718,
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"acc_stderr": 0.02463554916390823,
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"acc_norm": 0.617948717948718,
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"acc_norm_stderr": 0.02463554916390823
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},
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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc": 0.31851851851851853,
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+
"acc_stderr": 0.028406533090608463,
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"acc_norm": 0.31851851851851853,
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"acc_norm_stderr": 0.028406533090608463
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"acc": 0.7647058823529411,
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+
"acc_stderr": 0.027553614467863797,
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"acc_norm": 0.7647058823529411,
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"acc_norm_stderr": 0.027553614467863797
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},
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"harness|hendrycksTest-high_school_physics|5": {
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"acc": 0.36423841059602646,
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"acc_stderr": 0.03929111781242742,
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"acc_norm": 0.36423841059602646,
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"acc_norm_stderr": 0.03929111781242742
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},
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"harness|hendrycksTest-high_school_psychology|5": {
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"acc": 0.8348623853211009,
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"acc_stderr": 0.01591955782997604,
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"acc_norm": 0.8348623853211009,
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"acc_norm_stderr": 0.01591955782997604
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264 |
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447 |
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|
448 |
```
|