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Adding Evaluation Results
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metadata
language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - chatml
pipeline_tag: text-generation
base_model:
  - yam-peleg/Experiment26-7B
model-index:
  - name: dolphin-2.8-experiment26-7b
    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: 64.51
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          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: 83.79
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          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: 63.24
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          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: 54.87
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          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: 81.61
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          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: 63.61
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.8-experiment26-7b
          name: Open LLM Leaderboard

1-epoch checkpoint

bla bla bla bla bla

is this long enough?

I wonder how long it needs to be?

Nope it still needs to be longer

I'll try adding some more stuff

a b c d e f g h i j k l m n o p q r s t u v w x y z

La de da de daaaaaaah!

is this long enough yet?

Yep that did it!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 68.60
AI2 Reasoning Challenge (25-Shot) 64.51
HellaSwag (10-Shot) 83.79
MMLU (5-Shot) 63.24
TruthfulQA (0-shot) 54.87
Winogrande (5-shot) 81.61
GSM8k (5-shot) 63.61