453 lines
16 KiB
Markdown
453 lines
16 KiB
Markdown
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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---
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# MetaModel
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This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
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* [jeonsworld/CarbonVillain-en-10.7B-v4](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4)
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* [kekmodel/StopCarbon-10.7B-v5](https://huggingface.co/kekmodel/StopCarbon-10.7B-v5)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: jeonsworld/CarbonVillain-en-10.7B-v4
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layer_range: [0, 48]
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- model: kekmodel/StopCarbon-10.7B-v5
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layer_range: [0, 48]
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merge_method: slerp
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base_model: jeonsworld/CarbonVillain-en-10.7B-v4
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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# Dataset Card for Evaluation run of gagan3012/MetaModel
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<!-- Provide a quick summary of the dataset. -->
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Dataset automatically created during the evaluation run of model [gagan3012/MetaModel](https://huggingface.co/gagan3012/MetaModel) 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_gagan3012__MetaModel",
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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 2024-01-04T14:09:43.780941](https://huggingface.co/datasets/open-llm-leaderboard/details_gagan3012__MetaModel/blob/main/results_2024-01-04T14-09-43.780941.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": 0.6664380298886512,
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"acc_stderr": 0.031642195230944255,
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"acc_norm": 0.6671639222858992,
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"acc_norm_stderr": 0.03228745343467652,
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"mc1": 0.5691554467564259,
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"mc1_stderr": 0.01733527247533237,
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"mc2": 0.7184177934834866,
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"mc2_stderr": 0.014995634120330182
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},
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"harness|arc:challenge|25": {
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"acc": 0.6843003412969283,
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"acc_stderr": 0.013582571095815291,
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"acc_norm": 0.7107508532423208,
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"acc_norm_stderr": 0.01325001257939344
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},
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"harness|hellaswag|10": {
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"acc": 0.7132045409281019,
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"acc_stderr": 0.004513409114983828,
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"acc_norm": 0.8844851623182632,
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"acc_norm_stderr": 0.0031898897894046684
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},
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"harness|hendrycksTest-abstract_algebra|5": {
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"acc": 0.43,
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"acc_stderr": 0.049756985195624284,
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"acc_norm": 0.43,
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"acc_norm_stderr": 0.049756985195624284
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},
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"harness|hendrycksTest-anatomy|5": {
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"acc": 0.6148148148148148,
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"acc_stderr": 0.04203921040156279,
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"acc_norm": 0.6148148148148148,
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"acc_norm_stderr": 0.04203921040156279
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},
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"harness|hendrycksTest-astronomy|5": {
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"acc": 0.743421052631579,
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"acc_stderr": 0.0355418036802569,
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"acc_norm": 0.743421052631579,
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"acc_norm_stderr": 0.0355418036802569
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},
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"harness|hendrycksTest-business_ethics|5": {
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"acc": 0.75,
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"acc_stderr": 0.04351941398892446,
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"acc_norm": 0.75,
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"acc_norm_stderr": 0.04351941398892446
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},
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"harness|hendrycksTest-clinical_knowledge|5": {
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"acc": 0.6830188679245283,
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"acc_stderr": 0.02863723563980089,
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"acc_norm": 0.6830188679245283,
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"acc_norm_stderr": 0.02863723563980089
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},
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"harness|hendrycksTest-college_biology|5": {
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"acc": 0.7638888888888888,
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"acc_stderr": 0.03551446610810826,
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"acc_norm": 0.7638888888888888,
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"acc_norm_stderr": 0.03551446610810826
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},
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"harness|hendrycksTest-college_chemistry|5": {
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"acc": 0.47,
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"acc_stderr": 0.050161355804659205,
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"acc_norm": 0.47,
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"acc_norm_stderr": 0.050161355804659205
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},
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"harness|hendrycksTest-college_computer_science|5": {
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"acc": 0.48,
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"acc_stderr": 0.05021167315686781,
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"acc_norm": 0.48,
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"acc_norm_stderr": 0.05021167315686781
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},
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"harness|hendrycksTest-college_mathematics|5": {
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"acc": 0.32,
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"acc_stderr": 0.046882617226215034,
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"acc_norm": 0.32,
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"acc_norm_stderr": 0.046882617226215034
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},
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"harness|hendrycksTest-college_medicine|5": {
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"acc": 0.6647398843930635,
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"acc_stderr": 0.03599586301247077,
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"acc_norm": 0.6647398843930635,
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"acc_norm_stderr": 0.03599586301247077
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},
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"harness|hendrycksTest-college_physics|5": {
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"acc": 0.38235294117647056,
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"acc_stderr": 0.04835503696107223,
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"acc_norm": 0.38235294117647056,
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"acc_norm_stderr": 0.04835503696107223
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},
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"harness|hendrycksTest-computer_security|5": {
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"acc": 0.75,
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"acc_stderr": 0.04351941398892446,
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"acc_norm": 0.75,
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"acc_norm_stderr": 0.04351941398892446
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},
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"harness|hendrycksTest-conceptual_physics|5": {
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"acc": 0.625531914893617,
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"acc_stderr": 0.03163910665367291,
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"acc_norm": 0.625531914893617,
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"acc_norm_stderr": 0.03163910665367291
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},
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"harness|hendrycksTest-econometrics|5": {
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"acc": 0.4824561403508772,
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"acc_stderr": 0.04700708033551038,
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"acc_norm": 0.4824561403508772,
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"acc_norm_stderr": 0.04700708033551038
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},
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"harness|hendrycksTest-electrical_engineering|5": {
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"acc": 0.6413793103448275,
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"acc_stderr": 0.039966295748767186,
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"acc_norm": 0.6413793103448275,
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"acc_norm_stderr": 0.039966295748767186
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},
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"harness|hendrycksTest-elementary_mathematics|5": {
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"acc": 0.5,
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"acc_stderr": 0.025751310131230234,
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"acc_norm": 0.5,
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"acc_norm_stderr": 0.025751310131230234
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},
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"harness|hendrycksTest-formal_logic|5": {
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"acc": 0.42857142857142855,
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"acc_stderr": 0.0442626668137991,
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"acc_norm": 0.42857142857142855,
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"acc_norm_stderr": 0.0442626668137991
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},
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"harness|hendrycksTest-global_facts|5": {
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"acc": 0.35,
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"acc_stderr": 0.047937248544110196,
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"acc_norm": 0.35,
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"acc_norm_stderr": 0.047937248544110196
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},
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"harness|hendrycksTest-high_school_biology|5": {
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"acc": 0.8129032258064516,
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"acc_stderr": 0.022185710092252252,
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"acc_norm": 0.8129032258064516,
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"acc_norm_stderr": 0.022185710092252252
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},
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"harness|hendrycksTest-high_school_chemistry|5": {
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"acc": 0.5073891625615764,
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"acc_stderr": 0.035176035403610105,
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"acc_norm": 0.5073891625615764,
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"acc_norm_stderr": 0.035176035403610105
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},
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"harness|hendrycksTest-high_school_computer_science|5": {
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"acc": 0.72,
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"acc_stderr": 0.04512608598542128,
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"acc_norm": 0.72,
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"acc_norm_stderr": 0.04512608598542128
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},
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"harness|hendrycksTest-high_school_european_history|5": {
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"acc": 0.8121212121212121,
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"acc_stderr": 0.03050193405942914,
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"acc_norm": 0.8121212121212121,
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"acc_norm_stderr": 0.03050193405942914
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},
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"harness|hendrycksTest-high_school_geography|5": {
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"acc": 0.8636363636363636,
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"acc_stderr": 0.024450155973189835,
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"acc_norm": 0.8636363636363636,
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"acc_norm_stderr": 0.024450155973189835
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},
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"harness|hendrycksTest-high_school_government_and_politics|5": {
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"acc": 0.8963730569948186,
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"acc_stderr": 0.021995311963644244,
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"acc_norm": 0.8963730569948186,
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"acc_norm_stderr": 0.021995311963644244
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},
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"harness|hendrycksTest-high_school_macroeconomics|5": {
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"acc": 0.6692307692307692,
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"acc_stderr": 0.02385479568097114,
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"acc_norm": 0.6692307692307692,
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"acc_norm_stderr": 0.02385479568097114
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},
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"harness|hendrycksTest-high_school_mathematics|5": {
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"acc": 0.37037037037037035,
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"acc_stderr": 0.02944316932303154,
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"acc_norm": 0.37037037037037035,
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"acc_norm_stderr": 0.02944316932303154
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},
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"harness|hendrycksTest-high_school_microeconomics|5": {
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"acc": 0.7142857142857143,
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"acc_stderr": 0.029344572500634332,
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"acc_norm": 0.7142857142857143,
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"acc_norm_stderr": 0.029344572500634332
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},
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"harness|hendrycksTest-high_school_physics|5": {
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"acc": 0.3708609271523179,
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|
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"acc_stderr": 0.03943966699183629,
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"acc_norm": 0.3708609271523179,
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"acc_norm_stderr": 0.03943966699183629
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},
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|
|
"harness|hendrycksTest-high_school_psychology|5": {
|
||
|
|
"acc": 0.8422018348623853,
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||
|
|
"acc_stderr": 0.01563002297009246,
|
||
|
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"acc_norm": 0.8422018348623853,
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||
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"acc_norm_stderr": 0.01563002297009246
|
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|
|
},
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|
|
"harness|hendrycksTest-high_school_statistics|5": {
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||
|
|
"acc": 0.5740740740740741,
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||
|
|
"acc_stderr": 0.03372343271653062,
|
||
|
|
"acc_norm": 0.5740740740740741,
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||
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"acc_norm_stderr": 0.03372343271653062
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},
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"harness|hendrycksTest-high_school_us_history|5": {
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||
|
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"acc": 0.8578431372549019,
|
||
|
|
"acc_stderr": 0.02450980392156862,
|
||
|
|
"acc_norm": 0.8578431372549019,
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||
|
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"acc_norm_stderr": 0.02450980392156862
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|
|
},
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|
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"harness|hendrycksTest-high_school_world_history|5": {
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||
|
|
"acc": 0.8565400843881856,
|
||
|
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"acc_stderr": 0.022818291821017012,
|
||
|
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"acc_norm": 0.8565400843881856,
|
||
|
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"acc_norm_stderr": 0.022818291821017012
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},
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||
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"harness|hendrycksTest-human_aging|5": {
|
||
|
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"acc": 0.672645739910314,
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||
|
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"acc_stderr": 0.03149384670994131,
|
||
|
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"acc_norm": 0.672645739910314,
|
||
|
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"acc_norm_stderr": 0.03149384670994131
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||
|
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},
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||
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"harness|hendrycksTest-human_sexuality|5": {
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||
|
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"acc": 0.7557251908396947,
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||
|
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"acc_stderr": 0.03768335959728743,
|
||
|
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"acc_norm": 0.7557251908396947,
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"acc_norm_stderr": 0.03768335959728743
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},
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"harness|hendrycksTest-international_law|5": {
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"acc": 0.7851239669421488,
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"acc_stderr": 0.037494924487096966,
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"acc_norm": 0.7851239669421488,
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"acc_norm_stderr": 0.037494924487096966
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},
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"harness|hendrycksTest-jurisprudence|5": {
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"acc": 0.8055555555555556,
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"acc_stderr": 0.038260763248848646,
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"acc_norm": 0.8055555555555556,
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"acc_norm_stderr": 0.038260763248848646
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},
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"harness|hendrycksTest-logical_fallacies|5": {
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||
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"acc": 0.754601226993865,
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"acc_stderr": 0.03380939813943354,
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"acc_norm": 0.754601226993865,
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"acc_norm_stderr": 0.03380939813943354
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},
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"harness|hendrycksTest-machine_learning|5": {
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||
|
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"acc": 0.4732142857142857,
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||
|
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"acc_stderr": 0.047389751192741546,
|
||
|
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"acc_norm": 0.4732142857142857,
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"acc_norm_stderr": 0.047389751192741546
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},
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|
|
"harness|hendrycksTest-management|5": {
|
||
|
|
"acc": 0.8446601941747572,
|
||
|
|
"acc_stderr": 0.035865947385739734,
|
||
|
|
"acc_norm": 0.8446601941747572,
|
||
|
|
"acc_norm_stderr": 0.035865947385739734
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-marketing|5": {
|
||
|
|
"acc": 0.8589743589743589,
|
||
|
|
"acc_stderr": 0.02280138253459753,
|
||
|
|
"acc_norm": 0.8589743589743589,
|
||
|
|
"acc_norm_stderr": 0.02280138253459753
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-medical_genetics|5": {
|
||
|
|
"acc": 0.7,
|
||
|
|
"acc_stderr": 0.046056618647183814,
|
||
|
|
"acc_norm": 0.7,
|
||
|
|
"acc_norm_stderr": 0.046056618647183814
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-miscellaneous|5": {
|
||
|
|
"acc": 0.8084291187739464,
|
||
|
|
"acc_stderr": 0.014072859310451949,
|
||
|
|
"acc_norm": 0.8084291187739464,
|
||
|
|
"acc_norm_stderr": 0.014072859310451949
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-moral_disputes|5": {
|
||
|
|
"acc": 0.7572254335260116,
|
||
|
|
"acc_stderr": 0.023083658586984204,
|
||
|
|
"acc_norm": 0.7572254335260116,
|
||
|
|
"acc_norm_stderr": 0.023083658586984204
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-moral_scenarios|5": {
|
||
|
|
"acc": 0.39664804469273746,
|
||
|
|
"acc_stderr": 0.016361354769822468,
|
||
|
|
"acc_norm": 0.39664804469273746,
|
||
|
|
"acc_norm_stderr": 0.016361354769822468
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-nutrition|5": {
|
||
|
|
"acc": 0.7581699346405228,
|
||
|
|
"acc_stderr": 0.024518195641879334,
|
||
|
|
"acc_norm": 0.7581699346405228,
|
||
|
|
"acc_norm_stderr": 0.024518195641879334
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-philosophy|5": {
|
||
|
|
"acc": 0.7202572347266881,
|
||
|
|
"acc_stderr": 0.025494259350694905,
|
||
|
|
"acc_norm": 0.7202572347266881,
|
||
|
|
"acc_norm_stderr": 0.025494259350694905
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-prehistory|5": {
|
||
|
|
"acc": 0.7777777777777778,
|
||
|
|
"acc_stderr": 0.02313237623454333,
|
||
|
|
"acc_norm": 0.7777777777777778,
|
||
|
|
"acc_norm_stderr": 0.02313237623454333
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-professional_accounting|5": {
|
||
|
|
"acc": 0.5035460992907801,
|
||
|
|
"acc_stderr": 0.02982674915328092,
|
||
|
|
"acc_norm": 0.5035460992907801,
|
||
|
|
"acc_norm_stderr": 0.02982674915328092
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-professional_law|5": {
|
||
|
|
"acc": 0.49478487614080835,
|
||
|
|
"acc_stderr": 0.012769541449652547,
|
||
|
|
"acc_norm": 0.49478487614080835,
|
||
|
|
"acc_norm_stderr": 0.012769541449652547
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-professional_medicine|5": {
|
||
|
|
"acc": 0.75,
|
||
|
|
"acc_stderr": 0.026303648393696036,
|
||
|
|
"acc_norm": 0.75,
|
||
|
|
"acc_norm_stderr": 0.026303648393696036
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-professional_psychology|5": {
|
||
|
|
"acc": 0.6813725490196079,
|
||
|
|
"acc_stderr": 0.018850084696468712,
|
||
|
|
"acc_norm": 0.6813725490196079,
|
||
|
|
"acc_norm_stderr": 0.018850084696468712
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-public_relations|5": {
|
||
|
|
"acc": 0.6818181818181818,
|
||
|
|
"acc_stderr": 0.04461272175910509,
|
||
|
|
"acc_norm": 0.6818181818181818,
|
||
|
|
"acc_norm_stderr": 0.04461272175910509
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-security_studies|5": {
|
||
|
|
"acc": 0.746938775510204,
|
||
|
|
"acc_stderr": 0.027833023871399677,
|
||
|
|
"acc_norm": 0.746938775510204,
|
||
|
|
"acc_norm_stderr": 0.027833023871399677
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-sociology|5": {
|
||
|
|
"acc": 0.8258706467661692,
|
||
|
|
"acc_stderr": 0.026814951200421603,
|
||
|
|
"acc_norm": 0.8258706467661692,
|
||
|
|
"acc_norm_stderr": 0.026814951200421603
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-us_foreign_policy|5": {
|
||
|
|
"acc": 0.91,
|
||
|
|
"acc_stderr": 0.028762349126466125,
|
||
|
|
"acc_norm": 0.91,
|
||
|
|
"acc_norm_stderr": 0.028762349126466125
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-virology|5": {
|
||
|
|
"acc": 0.5783132530120482,
|
||
|
|
"acc_stderr": 0.038444531817709175,
|
||
|
|
"acc_norm": 0.5783132530120482,
|
||
|
|
"acc_norm_stderr": 0.038444531817709175
|
||
|
|
},
|
||
|
|
"harness|hendrycksTest-world_religions|5": {
|
||
|
|
"acc": 0.7777777777777778,
|
||
|
|
"acc_stderr": 0.03188578017686398,
|
||
|
|
"acc_norm": 0.7777777777777778,
|
||
|
|
"acc_norm_stderr": 0.03188578017686398
|
||
|
|
},
|
||
|
|
"harness|truthfulqa:mc|0": {
|
||
|
|
"mc1": 0.5691554467564259,
|
||
|
|
"mc1_stderr": 0.01733527247533237,
|
||
|
|
"mc2": 0.7184177934834866,
|
||
|
|
"mc2_stderr": 0.014995634120330182
|
||
|
|
},
|
||
|
|
"harness|winogrande|5": {
|
||
|
|
"acc": 0.8342541436464088,
|
||
|
|
"acc_stderr": 0.010450899545370632
|
||
|
|
},
|
||
|
|
"harness|gsm8k|5": {
|
||
|
|
"acc": 0.6535253980288097,
|
||
|
|
"acc_stderr": 0.013107179054313398
|
||
|
|
}
|
||
|
|
}
|
||
|
|
```
|
||
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
||
|
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_gagan3012__MetaModel)
|
||
|
|
|
||
|
|
| Metric | Value |
|
||
|
|
|-----------------------|---------------------------|
|
||
|
|
| Avg. | 74.4 |
|
||
|
|
| ARC (25-shot) | 71.08 |
|
||
|
|
| HellaSwag (10-shot) | 88.45 |
|
||
|
|
| MMLU (5-shot) | 66.26 |
|
||
|
|
| TruthfulQA (0-shot) | 71.84 |
|
||
|
|
| Winogrande (5-shot) | 83.43 |
|
||
|
|
| GSM8K (5-shot) | 65.35 |
|