Adding Evaluation Results
#1
by
leaderboard-pr-bot
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README.md
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---
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- rhysjones/phi-2-orange-v2
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- Weyaxi/Einstein-v4-phi2
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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<div style="text-align:center;width:250px;height:250px;">
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<img src="https://cdn.lauche.eu/L-MChat-Series-Logo.jpeg" alt="L-MChat-Series-Logo"">
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@@ -65,4 +168,17 @@ dtype: bfloat16
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## Usage
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Use it with the ChatML format, you can also use the Inference-API for this Model.
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---
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license: mit
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- rhysjones/phi-2-orange-v2
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- Weyaxi/Einstein-v4-phi2
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model-index:
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- name: L-MChat-Small
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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: 61.6
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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=Artples/L-MChat-Small
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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: 75.9
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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=Artples/L-MChat-Small
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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: 57.41
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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=Artples/L-MChat-Small
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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: 49.94
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
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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: 74.98
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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=Artples/L-MChat-Small
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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: 58.98
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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=Artples/L-MChat-Small
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name: Open LLM Leaderboard
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---
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<div style="text-align:center;width:250px;height:250px;">
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<img src="https://cdn.lauche.eu/L-MChat-Series-Logo.jpeg" alt="L-MChat-Series-Logo"">
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## Usage
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Use it with the ChatML format, you can also use the Inference-API for this Model.
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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_Artples__L-MChat-Small)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |63.14|
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|AI2 Reasoning Challenge (25-Shot)|61.60|
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|HellaSwag (10-Shot) |75.90|
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|MMLU (5-Shot) |57.41|
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|TruthfulQA (0-shot) |49.94|
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|Winogrande (5-shot) |74.98|
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|GSM8k (5-shot) |58.98|
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