Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
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@@ -18,6 +18,9 @@ model-index:
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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: 59.76
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name: strict accuracy
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@@ -33,6 +36,9 @@ model-index:
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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: 24.06
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name: normalized accuracy
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@@ -48,6 +54,9 @@ model-index:
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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: 6.8
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name: exact match
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@@ -63,6 +72,9 @@ model-index:
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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: 7.61
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name: acc_norm
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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: 11.78
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name: acc_norm
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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: 25.44
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name: accuracy
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@@ -204,4 +222,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2401.02415},
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}
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```
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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: 59.76
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name: strict accuracy
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 59.76
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name: strict accuracy
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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: 24.06
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name: normalized accuracy
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- type: acc_norm
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value: 24.06
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name: normalized accuracy
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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: 6.8
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name: exact match
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- type: exact_match
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value: 6.8
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name: exact match
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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: 7.61
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name: acc_norm
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- type: acc_norm
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value: 7.61
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name: acc_norm
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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: 11.78
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name: acc_norm
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- type: acc_norm
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value: 11.78
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name: acc_norm
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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: 25.44
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name: accuracy
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- type: acc
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value: 25.44
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name: accuracy
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2401.02415},
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}
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```
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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_Pretergeek__OpenChat-3.5-0106_8.11B-36Layers-Last)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |22.57|
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|IFEval (0-Shot) |59.76|
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|BBH (3-Shot) |24.06|
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|MATH Lvl 5 (4-Shot)| 6.80|
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|GPQA (0-shot) | 7.61|
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|MuSR (0-shot) |11.78|
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|MMLU-PRO (5-shot) |25.44|
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