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Adding Evaluation Results (#1)

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- Adding Evaluation Results (26b35fbb9b28629c53273cad81b55c077b4401c3)


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

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  1. README.md +110 -2
README.md CHANGED
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  language:
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  - th
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  - en
 
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  library_name: transformers
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  base_model:
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  - Qwen/Qwen2.5-7B-Instruct
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  - Qwen/Qwen2.5-7B
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  pipeline_tag: text-generation
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <img src="./Tsunami.webp" alt="Tsunami Model" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -80,4 +175,17 @@ response = tokenizer.decode(output[0, len(inputs['input_ids'][0]):], skip_specia
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  ---
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  - **Tsunami-0.5x-7B-Instruct** is the version 0.5x that did not train on the whole dataset.
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- - **Tsunami-1.0-7B-Instruct** is coming soon.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - th
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  - en
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+ license: apache-2.0
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  library_name: transformers
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  base_model:
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  - Qwen/Qwen2.5-7B-Instruct
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  - Qwen/Qwen2.5-7B
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Tsunami-0.5x-7B-Instruct
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 70.99
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 37.36
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 4.83
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 8.61
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 18.57
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 38.42
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Tsunami-th/Tsunami-0.5x-7B-Instruct
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+ name: Open LLM Leaderboard
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  ---
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  <img src="./Tsunami.webp" alt="Tsunami Model" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
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  ---
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  - **Tsunami-0.5x-7B-Instruct** is the version 0.5x that did not train on the whole dataset.
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+ - **Tsunami-1.0-7B-Instruct** is coming soon.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Tsunami-th__Tsunami-0.5x-7B-Instruct)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |29.80|
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+ |IFEval (0-Shot) |70.99|
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+ |BBH (3-Shot) |37.36|
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+ |MATH Lvl 5 (4-Shot)| 4.83|
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+ |GPQA (0-shot) | 8.61|
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+ |MuSR (0-shot) |18.57|
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+ |MMLU-PRO (5-shot) |38.42|
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+