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Adding Evaluation Results (#1)

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- Adding Evaluation Results (407432a88cd146e98def5e1ee9c2117de3a6cc25)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +117 -1
README.md CHANGED
@@ -9,6 +9,109 @@ base_model:
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  - beowolx/CodeNinja-1.0-OpenChat-7B
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  - SanjiWatsuki/Kunoichi-DPO-v2-7B
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  - mlabonne/NeuralDaredevil-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Beyonder-4x7B-v3-random-lora
@@ -78,4 +181,17 @@ Apart from the possibility that this approach may not be effective, other potent
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  | [**Aratako/Beyonder-4x7B-v3-random-lora**](https://huggingface.co/Aratako/Beyonder-4x7B-v3-random-lora) | **5.1** | **8.1** | **9.9** | **4.1** | **3.7** | **8.55** | **9.0** | **7.7** | **7.01875** |
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  | [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) | 4.1 | 8.4 | 9.8 | 4.7 | 5.6 | 9.0 | 9.2 | 9.5 | 7.53750 |
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- ![mt-bench-2turn](./mt-bench-2turn.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - beowolx/CodeNinja-1.0-OpenChat-7B
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  - SanjiWatsuki/Kunoichi-DPO-v2-7B
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  - mlabonne/NeuralDaredevil-7B
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+ model-index:
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+ - name: Beyonder-4x7B-random-lora
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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: 71.25
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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=Aratako/Beyonder-4x7B-random-lora
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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: 87.4
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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=Aratako/Beyonder-4x7B-random-lora
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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: 64.78
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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=Aratako/Beyonder-4x7B-random-lora
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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: 70.49
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
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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: 82.16
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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=Aratako/Beyonder-4x7B-random-lora
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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: 67.4
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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=Aratako/Beyonder-4x7B-random-lora
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+ name: Open LLM Leaderboard
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  ---
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  # Beyonder-4x7B-v3-random-lora
 
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  | [**Aratako/Beyonder-4x7B-v3-random-lora**](https://huggingface.co/Aratako/Beyonder-4x7B-v3-random-lora) | **5.1** | **8.1** | **9.9** | **4.1** | **3.7** | **8.55** | **9.0** | **7.7** | **7.01875** |
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  | [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) | 4.1 | 8.4 | 9.8 | 4.7 | 5.6 | 9.0 | 9.2 | 9.5 | 7.53750 |
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+ ![mt-bench-2turn](./mt-bench-2turn.png)
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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_Aratako__Beyonder-4x7B-random-lora)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |73.91|
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+ |AI2 Reasoning Challenge (25-Shot)|71.25|
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+ |HellaSwag (10-Shot) |87.40|
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+ |MMLU (5-Shot) |64.78|
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+ |TruthfulQA (0-shot) |70.49|
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+ |Winogrande (5-shot) |82.16|
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+ |GSM8k (5-shot) |67.40|
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+