Adding Evaluation Results (#1)

- Adding Evaluation Results (b4eb72d30124e838e8808edb79c2b0ff85162a60)


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

README.md

@@ -1,12 +1,12 @@
 ---
 license: apache-2.0
-base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile
 tags:
 - generated_from_trainer
 - smol_llama
 - llama2
 metrics:
 - accuracy
+base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile
 inference:
   parameters:
     max_new_tokens: 64
@@ -17,43 +17,140 @@ inference:
     eta_cutoff: 0.001
     renormalize_logits: true
 widget:
-  - text: My name is El Microondas the Wise and
-    example_title: El Microondas
-  - text: Kennesaw State University is a public
-    example_title: Kennesaw State University
-  - text: >-
-      Bungie Studios is an American video game developer. They are most famous
-      for developing the award winning Halo series of video games. They also
-      made Destiny. The studio was founded
-    example_title: Bungie
-  - text: The Mona Lisa is a world-renowned painting created by
-    example_title: Mona Lisa
-  - text: >-
-      The Harry Potter series, written by J.K. Rowling, begins with the book
-      titled
-    example_title: Harry Potter Series
-  - text: >-
-      Question: I have cities, but no houses. I have mountains, but no trees. I
-      have water, but no fish. What am I?
-
-      Answer:
-    example_title: Riddle
-  - text: The process of photosynthesis involves the conversion of
-    example_title: Photosynthesis
-  - text: >-
-      Jane went to the store to buy some groceries. She picked up apples,
-      oranges, and a loaf of bread. When she got home, she realized she forgot
-    example_title: Story Continuation
-  - text: >-
-      Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
-      and another train leaves Station B at 10:00 AM and travels at 80 mph, when
-      will they meet if the distance between the stations is 300 miles?
-
-      To determine
-    example_title: Math Problem
-  - text: In the context of computer programming, an algorithm is
-    example_title: Algorithm Definition
+- text: My name is El Microondas the Wise and
+  example_title: El Microondas
+- text: Kennesaw State University is a public
+  example_title: Kennesaw State University
+- text: Bungie Studios is an American video game developer. They are most famous for
+    developing the award winning Halo series of video games. They also made Destiny.
+    The studio was founded
+  example_title: Bungie
+- text: The Mona Lisa is a world-renowned painting created by
+  example_title: Mona Lisa
+- text: The Harry Potter series, written by J.K. Rowling, begins with the book titled
+  example_title: Harry Potter Series
+- text: 'Question: I have cities, but no houses. I have mountains, but no trees. I
+    have water, but no fish. What am I?
+
+    Answer:'
+  example_title: Riddle
+- text: The process of photosynthesis involves the conversion of
+  example_title: Photosynthesis
+- text: Jane went to the store to buy some groceries. She picked up apples, oranges,
+    and a loaf of bread. When she got home, she realized she forgot
+  example_title: Story Continuation
+- text: 'Problem 2: If a train leaves Station A at 9:00 AM and travels at 60 mph,
+    and another train leaves Station B at 10:00 AM and travels at 80 mph, when will
+    they meet if the distance between the stations is 300 miles?
+
+    To determine'
+  example_title: Math Problem
+- text: In the context of computer programming, an algorithm is
+  example_title: Algorithm Definition
 pipeline_tag: text-generation
+model-index:
+- name: NanoLlama-GQA-L10-A32_KV8-v13-KI
+  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: 23.81
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      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: 29.39
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      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: 25.37
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      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: 44.77
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      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: 51.14
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      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: 0.91
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+      name: Open LLM Leaderboard
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -129,3 +226,17 @@ The following hyperparameters were used during training:
 - Pytorch 2.1.0
 - Datasets 2.15.0
 - Tokenizers 0.15.0
+
+# [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_BEE-spoke-data__NanoLlama-GQA-L10-A32_KV8-v13-KI)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |29.23|
+|AI2 Reasoning Challenge (25-Shot)|23.81|
+|HellaSwag (10-Shot)              |29.39|
+|MMLU (5-Shot)                    |25.37|
+|TruthfulQA (0-shot)              |44.77|
+|Winogrande (5-shot)              |51.14|
+|GSM8k (5-shot)                   | 0.91|
+