Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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library_name: transformers
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tags:
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- code
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@@ -6,11 +9,111 @@ tags:
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- qa
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- assistant
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- reasoning
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license: apache-2.0
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language:
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- en
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metrics:
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- code_eval
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---
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@@ -73,4 +176,17 @@ The model was trained using a Mixture of Experts (MoE) approach, allowing it to
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Moe-2x7b-QA-Code employs an advanced MoE architecture with 2x7 billion parameters, optimized for high performance in QA and coding tasks. This architecture enables the model to efficiently process and generate accurate responses to complex queries.
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**Contact**
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Https://nextai.co.in
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- code
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- qa
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- assistant
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- reasoning
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metrics:
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- code_eval
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model-index:
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- name: Moe-2x7b-QA-Code
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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: 65.19
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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=nextai-team/Moe-2x7b-QA-Code
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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: 85.36
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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=nextai-team/Moe-2x7b-QA-Code
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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: 61.71
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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=nextai-team/Moe-2x7b-QA-Code
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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: 65.23
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nextai-team/Moe-2x7b-QA-Code
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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: 77.35
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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=nextai-team/Moe-2x7b-QA-Code
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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: 49.66
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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=nextai-team/Moe-2x7b-QA-Code
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name: Open LLM Leaderboard
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---
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Moe-2x7b-QA-Code employs an advanced MoE architecture with 2x7 billion parameters, optimized for high performance in QA and coding tasks. This architecture enables the model to efficiently process and generate accurate responses to complex queries.
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**Contact**
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Https://nextai.co.in
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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_nextai-team__Moe-2x7b-QA-Code)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |67.42|
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|AI2 Reasoning Challenge (25-Shot)|65.19|
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|HellaSwag (10-Shot) |85.36|
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|MMLU (5-Shot) |61.71|
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|TruthfulQA (0-shot) |65.23|
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|Winogrande (5-shot) |77.35|
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|GSM8k (5-shot) |49.66|
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