Adding Evaluation Results

README.md

@@ -1,6 +1,101 @@
 ---
 license: apache-2.0
 pipeline_tag: text-generation
+model-index:
+- name: internlm2_5-20b-llamafied
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 34.1
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 63.47
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 17.07
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 11.74
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 14.94
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 33.9
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=IntervitensInc/internlm2_5-20b-llamafied
+      name: Open LLM Leaderboard
 ---
 
 Converted using [this script](https://huggingface.co/Downtown-Case/internlm_internlm2_5-20b-llamafied-hacked-rope/blob/main/convert_weights_internlm.py), then edited the tokenizer manually to (hopefully) match the behaviour of the original. Matches the original model at temperature=0 after some quick tests, but not extensively verified.
@@ -154,3 +249,17 @@ print(output)
       primaryClass={cs.CL}
 }
 ```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_IntervitensInc__internlm2_5-20b-llamafied)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |29.20|
+|IFEval (0-Shot)    |34.10|
+|BBH (3-Shot)       |63.47|
+|MATH Lvl 5 (4-Shot)|17.07|
+|GPQA (0-shot)      |11.74|
+|MuSR (0-shot)      |14.94|
+|MMLU-PRO (5-shot)  |33.90|
+