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Adding Evaluation Results (#2)

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- Adding Evaluation Results (6b3f895b45251d34858adf27a5f0fe89336e53f5)


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

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  1. README.md +118 -2
README.md CHANGED
@@ -1,13 +1,116 @@
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  ---
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- license: cc-by-nc-sa-4.0
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  language:
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  - en
 
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  library_name: transformers
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  tags:
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  - UNA
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  - juanako
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  - mixtral
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  - MoE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # UNAversal - Uniform Neural Alignment (MoE)
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@@ -109,4 +212,17 @@ vllm (pretrained=fblgit/UNAversal-8x7B-v1beta,tensor_parallel_size=2,data_parall
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  |Groups|Version| Filter |n-shot| Metric |Value | |Stderr|
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  |------|-------|----------|-----:|-----------|-----:|---|-----:|
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  |bbh |N/A |get-answer| 0|exact_match|0.6752|± |0.1772|
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language:
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  - en
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+ license: cc-by-nc-sa-4.0
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  library_name: transformers
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  tags:
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  - UNA
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  - juanako
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  - mixtral
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  - MoE
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+ model-index:
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+ - name: UNAversal-8x7B-v1beta
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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: 69.8
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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=fblgit/UNAversal-8x7B-v1beta
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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: 86.9
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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=fblgit/UNAversal-8x7B-v1beta
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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: 70.39
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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=fblgit/UNAversal-8x7B-v1beta
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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: 71.97
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNAversal-8x7B-v1beta
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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: 82.0
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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=fblgit/UNAversal-8x7B-v1beta
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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: 61.64
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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=fblgit/UNAversal-8x7B-v1beta
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+ name: Open LLM Leaderboard
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  ---
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  # UNAversal - Uniform Neural Alignment (MoE)
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  |Groups|Version| Filter |n-shot| Metric |Value | |Stderr|
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  |------|-------|----------|-----:|-----------|-----:|---|-----:|
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  |bbh |N/A |get-answer| 0|exact_match|0.6752|± |0.1772|
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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_fblgit__UNAversal-8x7B-v1beta)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |73.78|
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+ |AI2 Reasoning Challenge (25-Shot)|69.80|
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+ |HellaSwag (10-Shot) |86.90|
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+ |MMLU (5-Shot) |70.39|
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+ |TruthfulQA (0-shot) |71.97|
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+ |Winogrande (5-shot) |82.00|
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+ |GSM8k (5-shot) |61.64|
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+