Corey Morris commited on
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28d4d6a
1 Parent(s): 8474e43

Updated updated date

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -50,7 +50,7 @@ data_provider = ResultDataProcessor()
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  # st.title('Model Evaluation Results including MMLU by task')
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  st.title('MMLU-by-Task Evaluation Results for 700+ Open Source Models')
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- st.markdown("""***Last updated August 7th***""")
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  st.markdown("""
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  Hugging Face has run evaluations on over 500 open source models and provides results on a
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  [publicly available leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and [dataset](https://huggingface.co/datasets/open-llm-leaderboard/results).
@@ -58,7 +58,7 @@ st.markdown("""
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  [Preliminary analysis of MMLU-by-Task data](https://coreymorrisdata.medium.com/preliminary-analysis-of-mmlu-evaluation-data-insights-from-500-open-source-models-e67885aa364b)
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  """)
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- filters = st.checkbox('Select Models and Evaluations')
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  # Initialize selected columns with "Parameters" and "MMLU_average" if filters are checked
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  selected_columns = ['Parameters', 'MMLU_average'] if filters else data_provider.data.columns.tolist()
 
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  # st.title('Model Evaluation Results including MMLU by task')
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  st.title('MMLU-by-Task Evaluation Results for 700+ Open Source Models')
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+ st.markdown("""***Last updated August 10th***""")
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  st.markdown("""
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  Hugging Face has run evaluations on over 500 open source models and provides results on a
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  [publicly available leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and [dataset](https://huggingface.co/datasets/open-llm-leaderboard/results).
 
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  [Preliminary analysis of MMLU-by-Task data](https://coreymorrisdata.medium.com/preliminary-analysis-of-mmlu-evaluation-data-insights-from-500-open-source-models-e67885aa364b)
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  """)
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+ filters = st.checkbox('Select Models and/or Evaluations')
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  # Initialize selected columns with "Parameters" and "MMLU_average" if filters are checked
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  selected_columns = ['Parameters', 'MMLU_average'] if filters else data_provider.data.columns.tolist()