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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 +120 -3
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  ---
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  language: en
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- datasets:
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- - FinTalk-19k
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  tags:
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  - summarization
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  - classification
@@ -9,8 +8,112 @@ tags:
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  - NLP
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  - finance
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  - domain specific llm
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- license: apache-2.0
 
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # FinanceConnect
@@ -194,3 +297,17 @@ FinanceConnect is specifically tailored for finanical discussions and knowledge.
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  ```
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  ## Contact
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  For any further inquiries or feedback concerning FinanceConnect, please forward your communications to [email protected]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language: en
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+ license: apache-2.0
 
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  tags:
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  - summarization
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  - classification
 
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  - NLP
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  - finance
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  - domain specific llm
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+ datasets:
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+ - FinTalk-19k
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: FinanceConnect-13B
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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: 55.12
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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=ceadar-ie/FinanceConnect-13B
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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: 77.73
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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=ceadar-ie/FinanceConnect-13B
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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: 52.08
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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=ceadar-ie/FinanceConnect-13B
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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: 37.68
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ceadar-ie/FinanceConnect-13B
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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: 71.82
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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=ceadar-ie/FinanceConnect-13B
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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: 1.59
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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=ceadar-ie/FinanceConnect-13B
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+ name: Open LLM Leaderboard
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  ---
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  # FinanceConnect
 
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  ```
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  ## Contact
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  For any further inquiries or feedback concerning FinanceConnect, please forward your communications to [email protected]
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+
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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_ceadar-ie__FinanceConnect-13B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |49.34|
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+ |AI2 Reasoning Challenge (25-Shot)|55.12|
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+ |HellaSwag (10-Shot) |77.73|
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+ |MMLU (5-Shot) |52.08|
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+ |TruthfulQA (0-shot) |37.68|
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+ |Winogrande (5-shot) |71.82|
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+ |GSM8k (5-shot) | 1.59|
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+