Text Generation
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llama
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Adding Evaluation Results

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This 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

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  1. README.md +121 -6
README.md CHANGED
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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: 53.58
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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: 78.33
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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: 47.63
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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: 43.26
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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: 73.95
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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: 20.39
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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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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |52.86|
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+ |AI2 Reasoning Challenge (25-Shot)|53.58|
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+ |HellaSwag (10-Shot) |78.33|
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+ |MMLU (5-Shot) |47.63|
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+ |TruthfulQA (0-shot) |43.26|
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+ |Winogrande (5-shot) |73.95|
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+ |GSM8k (5-shot) |20.39|
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+