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Adding Evaluation Results
Browse filesThis 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
README.md
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---
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-
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datasets:
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- mwitiderrick/AlpacaCode
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inference: true
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model_type: llama
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prompt_template:
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<s>[INST]
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{prompt}
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[/INST]
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created_by: mwitiderrick
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tags:
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- transformers
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license: apache-2.0
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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model-index:
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---
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# OpenLLaMA Glaive: An Open Reproduction of LLaMA
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@@ -122,4 +215,17 @@ def quick_sort(arr):
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|-------------|-------|------|-----:|--------|-----:|---|-----:|
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|arc_challenge|Yaml |none | 0|acc |0.3234|± |0.0137|
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| | |none | 0|acc_norm|0.3447|± |0.0139|
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```
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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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- transformers
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datasets:
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- mwitiderrick/AlpacaCode
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base_model: mwitiderrick/open_llama_3b_code_instruct_0.1
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inference: true
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model_type: llama
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prompt_template: "<s>[INST] \n{prompt}\n[/INST]\n"
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created_by: mwitiderrick
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pipeline_tag: text-generation
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model-index:
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- name: mwitiderrick/open_llama_3b_instruct_v_0.2
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results:
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- task:
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type: text-generation
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dataset:
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name: hellaswag
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type: hellaswag
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metrics:
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- type: hellaswag (0-Shot)
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value: 0.66
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name: hellaswag(0-Shot)
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- task:
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type: text-generation
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dataset:
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name: winogrande
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type: winogrande
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metrics:
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- type: winogrande (0-Shot)
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value: 0.6322
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name: winogrande(0-Shot)
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- task:
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type: text-generation
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dataset:
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name: arc_challenge
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type: arc_challenge
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metrics:
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- type: arc_challenge (0-Shot)
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value: 0.3447
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name: arc_challenge(0-Shot)
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source:
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url: https://huggingface.co/mwitiderrick/open_llama_3b_instruct_v_0.2
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name: open_llama_3b_instruct_v_0.2 model card
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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: 40.7
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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=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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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: 67.45
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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=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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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: 27.74
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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=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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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: 35.86
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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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: 64.72
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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=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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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: 1.97
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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=mwitiderrick/open_llama_3b_glaive_assistant_v0.1
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name: Open LLM Leaderboard
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---
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# OpenLLaMA Glaive: An Open Reproduction of LLaMA
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|-------------|-------|------|-----:|--------|-----:|---|-----:|
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|arc_challenge|Yaml |none | 0|acc |0.3234|± |0.0137|
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| | |none | 0|acc_norm|0.3447|± |0.0139|
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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_mwitiderrick__open_llama_3b_glaive_assistant_v0.1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |39.74|
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|AI2 Reasoning Challenge (25-Shot)|40.70|
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|HellaSwag (10-Shot) |67.45|
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|MMLU (5-Shot) |27.74|
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|TruthfulQA (0-shot) |35.86|
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|Winogrande (5-shot) |64.72|
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|GSM8k (5-shot) | 1.97|
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