Adding Evaluation Results (#6)
Browse files- Adding Evaluation Results (29f646e44e9940288aa7a8c7aeaba1e305179a4d)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
    	
        README.md
    CHANGED
    
    | @@ -2,6 +2,101 @@ | |
| 2 | 
             
            license: other
         | 
| 3 | 
             
            license_name: qwen2
         | 
| 4 | 
             
            license_link: https://huggingface.co/Qwen/Qwen2-72B/blob/main/LICENSE
         | 
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
| 5 | 
             
            ---
         | 
| 6 |  | 
| 7 | 
             
            # Tess-v2.5.2 (Qwen2-72B)
         | 
| @@ -118,3 +213,17 @@ While this model aims for accuracy, it can occasionally produce inaccurate or mi | |
| 118 | 
             
            Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content. 
         | 
| 119 |  | 
| 120 | 
             
            Exercise caution and cross-check information when necessary. This is an uncensored model.
         | 
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 2 | 
             
            license: other
         | 
| 3 | 
             
            license_name: qwen2
         | 
| 4 | 
             
            license_link: https://huggingface.co/Qwen/Qwen2-72B/blob/main/LICENSE
         | 
| 5 | 
            +
            model-index:
         | 
| 6 | 
            +
            - name: Tess-v2.5.2-Qwen2-72B
         | 
| 7 | 
            +
              results:
         | 
| 8 | 
            +
              - task:
         | 
| 9 | 
            +
                  type: text-generation
         | 
| 10 | 
            +
                  name: Text Generation
         | 
| 11 | 
            +
                dataset:
         | 
| 12 | 
            +
                  name: IFEval (0-Shot)
         | 
| 13 | 
            +
                  type: HuggingFaceH4/ifeval
         | 
| 14 | 
            +
                  args:
         | 
| 15 | 
            +
                    num_few_shot: 0
         | 
| 16 | 
            +
                metrics:
         | 
| 17 | 
            +
                - type: inst_level_strict_acc and prompt_level_strict_acc
         | 
| 18 | 
            +
                  value: 44.94
         | 
| 19 | 
            +
                  name: strict accuracy
         | 
| 20 | 
            +
                source:
         | 
| 21 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 22 | 
            +
                  name: Open LLM Leaderboard
         | 
| 23 | 
            +
              - task:
         | 
| 24 | 
            +
                  type: text-generation
         | 
| 25 | 
            +
                  name: Text Generation
         | 
| 26 | 
            +
                dataset:
         | 
| 27 | 
            +
                  name: BBH (3-Shot)
         | 
| 28 | 
            +
                  type: BBH
         | 
| 29 | 
            +
                  args:
         | 
| 30 | 
            +
                    num_few_shot: 3
         | 
| 31 | 
            +
                metrics:
         | 
| 32 | 
            +
                - type: acc_norm
         | 
| 33 | 
            +
                  value: 52.31
         | 
| 34 | 
            +
                  name: normalized accuracy
         | 
| 35 | 
            +
                source:
         | 
| 36 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 37 | 
            +
                  name: Open LLM Leaderboard
         | 
| 38 | 
            +
              - task:
         | 
| 39 | 
            +
                  type: text-generation
         | 
| 40 | 
            +
                  name: Text Generation
         | 
| 41 | 
            +
                dataset:
         | 
| 42 | 
            +
                  name: MATH Lvl 5 (4-Shot)
         | 
| 43 | 
            +
                  type: hendrycks/competition_math
         | 
| 44 | 
            +
                  args:
         | 
| 45 | 
            +
                    num_few_shot: 4
         | 
| 46 | 
            +
                metrics:
         | 
| 47 | 
            +
                - type: exact_match
         | 
| 48 | 
            +
                  value: 27.42
         | 
| 49 | 
            +
                  name: exact match
         | 
| 50 | 
            +
                source:
         | 
| 51 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 52 | 
            +
                  name: Open LLM Leaderboard
         | 
| 53 | 
            +
              - task:
         | 
| 54 | 
            +
                  type: text-generation
         | 
| 55 | 
            +
                  name: Text Generation
         | 
| 56 | 
            +
                dataset:
         | 
| 57 | 
            +
                  name: GPQA (0-shot)
         | 
| 58 | 
            +
                  type: Idavidrein/gpqa
         | 
| 59 | 
            +
                  args:
         | 
| 60 | 
            +
                    num_few_shot: 0
         | 
| 61 | 
            +
                metrics:
         | 
| 62 | 
            +
                - type: acc_norm
         | 
| 63 | 
            +
                  value: 13.42
         | 
| 64 | 
            +
                  name: acc_norm
         | 
| 65 | 
            +
                source:
         | 
| 66 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 67 | 
            +
                  name: Open LLM Leaderboard
         | 
| 68 | 
            +
              - task:
         | 
| 69 | 
            +
                  type: text-generation
         | 
| 70 | 
            +
                  name: Text Generation
         | 
| 71 | 
            +
                dataset:
         | 
| 72 | 
            +
                  name: MuSR (0-shot)
         | 
| 73 | 
            +
                  type: TAUR-Lab/MuSR
         | 
| 74 | 
            +
                  args:
         | 
| 75 | 
            +
                    num_few_shot: 0
         | 
| 76 | 
            +
                metrics:
         | 
| 77 | 
            +
                - type: acc_norm
         | 
| 78 | 
            +
                  value: 10.89
         | 
| 79 | 
            +
                  name: acc_norm
         | 
| 80 | 
            +
                source:
         | 
| 81 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 82 | 
            +
                  name: Open LLM Leaderboard
         | 
| 83 | 
            +
              - task:
         | 
| 84 | 
            +
                  type: text-generation
         | 
| 85 | 
            +
                  name: Text Generation
         | 
| 86 | 
            +
                dataset:
         | 
| 87 | 
            +
                  name: MMLU-PRO (5-shot)
         | 
| 88 | 
            +
                  type: TIGER-Lab/MMLU-Pro
         | 
| 89 | 
            +
                  config: main
         | 
| 90 | 
            +
                  split: test
         | 
| 91 | 
            +
                  args:
         | 
| 92 | 
            +
                    num_few_shot: 5
         | 
| 93 | 
            +
                metrics:
         | 
| 94 | 
            +
                - type: acc
         | 
| 95 | 
            +
                  value: 50.68
         | 
| 96 | 
            +
                  name: accuracy
         | 
| 97 | 
            +
                source:
         | 
| 98 | 
            +
                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=migtissera/Tess-v2.5.2-Qwen2-72B
         | 
| 99 | 
            +
                  name: Open LLM Leaderboard
         | 
| 100 | 
             
            ---
         | 
| 101 |  | 
| 102 | 
             
            # Tess-v2.5.2 (Qwen2-72B)
         | 
|  | |
| 213 | 
             
            Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content. 
         | 
| 214 |  | 
| 215 | 
             
            Exercise caution and cross-check information when necessary. This is an uncensored model.
         | 
| 216 | 
            +
             | 
| 217 | 
            +
            # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
         | 
| 218 | 
            +
            Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_migtissera__Tess-v2.5.2-Qwen2-72B)
         | 
| 219 | 
            +
             | 
| 220 | 
            +
            |      Metric       |Value|
         | 
| 221 | 
            +
            |-------------------|----:|
         | 
| 222 | 
            +
            |Avg.               |33.28|
         | 
| 223 | 
            +
            |IFEval (0-Shot)    |44.94|
         | 
| 224 | 
            +
            |BBH (3-Shot)       |52.31|
         | 
| 225 | 
            +
            |MATH Lvl 5 (4-Shot)|27.42|
         | 
| 226 | 
            +
            |GPQA (0-shot)      |13.42|
         | 
| 227 | 
            +
            |MuSR (0-shot)      |10.89|
         | 
| 228 | 
            +
            |MMLU-PRO (5-shot)  |50.68|
         | 
| 229 | 
            +
             | 

