Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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---
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license: llama2
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datasets:
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- Telugu-LLM-Labs/yahma_alpaca_cleaned_telugu_filtered_and_romanized
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- >-
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Telugu-LLM-Labs/teknium_GPTeacher_general_instruct_telugu_filtered_and_romanized
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language:
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- te
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- en
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---
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# Telugu-Llama2-7B-v0-Instruct
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@@ -99,4 +201,17 @@ The model is a collaborative effort by [Ravi Theja](https://twitter.com/ravithej
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# Note:
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The model is quite sensitive to parameters and inputs and is not yet ready for production. It remains in the experimental phase, and we recommend using it accordingly.
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---
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language:
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- te
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- en
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license: llama2
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datasets:
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- Telugu-LLM-Labs/yahma_alpaca_cleaned_telugu_filtered_and_romanized
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- Telugu-LLM-Labs/teknium_GPTeacher_general_instruct_telugu_filtered_and_romanized
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model-index:
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- name: Telugu-Llama2-7B-v0-Instruct
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 53.41
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 78.35
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 47.79
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 43.29
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 74.19
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 21.23
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Telugu-LLM-Labs/Telugu-Llama2-7B-v0-Instruct
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name: Open LLM Leaderboard
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---
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# Telugu-Llama2-7B-v0-Instruct
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# Note:
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The model is quite sensitive to parameters and inputs and is not yet ready for production. It remains in the experimental phase, and we recommend using it accordingly.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Telugu-LLM-Labs__Telugu-Llama2-7B-v0-Instruct)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |53.04|
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|AI2 Reasoning Challenge (25-Shot)|53.41|
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|HellaSwag (10-Shot) |78.35|
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|MMLU (5-Shot) |47.79|
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|TruthfulQA (0-shot) |43.29|
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|Winogrande (5-shot) |74.19|
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|GSM8k (5-shot) |21.23|
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