README.md

metadata

language:
  - en
license: cc-by-nc-4.0
datasets:
  - garage-bAInd/Open-Platypus
model-index:
  - name: Nova-13B
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 62.71
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 82.57
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 57.98
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 51.34
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 77.27
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 6.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
          name: Open LLM Leaderboard

Nova-13b

Original weights of Nova-13B. Finetuned from AIDC-ai-business/Luban-13B.

Lora Weights

You can access lora weights from here:

Weyaxi/Nova-13B-Lora

Loss Graph

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	49.64
ARC (25-shot)	62.71
HellaSwag (10-shot)	82.57
MMLU (5-shot)	57.98
TruthfulQA (0-shot)	51.34
Winogrande (5-shot)	77.27
GSM8K (5-shot)	6.75
DROP (3-shot)	8.84

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	56.44
AI2 Reasoning Challenge (25-Shot)	62.71
HellaSwag (10-Shot)	82.57
MMLU (5-Shot)	57.98
TruthfulQA (0-shot)	51.34
Winogrande (5-shot)	77.27
GSM8k (5-shot)	6.75