Adding Evaluation Results

README.md

@@ -1,11 +1,114 @@
 ---
+language:
+- en
 license: mit
 datasets:
 - vibhorag101/phr_mental_therapy_dataset
 - jerryjalapeno/nart-100k-synthetic
-language:
-- en
 pipeline_tag: text-generation
+model-index:
+- name: llama-2-13b-chat-hf-phr_mental_therapy
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 38.82
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 72.76
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 23.12
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 46.92
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 65.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 7.81
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vibhorag101/llama-2-13b-chat-hf-phr_mental_therapy
+      name: Open LLM Leaderboard
 ---
 # Model Card
 
@@ -58,4 +161,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 | MMLU (5-shot)         | 23.12         |
 | TruthfulQA (0-shot)   | 46.92   |
 | Winogrande (5-shot)   | 65.59   |
-| GSM8K (5-shot)        | 7.81        |
+| GSM8K (5-shot)        | 7.81        |
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_vibhorag101__llama-2-13b-chat-hf-phr_mental_therapy)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |42.50|
+|AI2 Reasoning Challenge (25-Shot)|38.82|
+|HellaSwag (10-Shot)              |72.76|
+|MMLU (5-Shot)                    |23.12|
+|TruthfulQA (0-shot)              |46.92|
+|Winogrande (5-shot)              |65.59|
+|GSM8k (5-shot)                   | 7.81|
+