Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,152 +1,158 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 datasets:
 - togethercomputer/RedPajama-Data-1T
 - togethercomputer/RedPajama-Data-Instruct
 widget:
-- text: |-
-    Label the sentences as either 'positive', 'negative', 'mixed', or 'neutral': 
-
-    Sentence: I can say that there isn't anything I would change.
-    Label: positive
-
-    Sentence: I'm not sure about this.
-    Label: neutral
-
-    Sentence: I liked some parts but I didn't like other parts.
-    Label: mixed
-
-    Sentence: I think the background image could have been better.
-    Label: negative
-
-    Sentence: I really like it.
-    Label:
+- text: "Label the sentences as either 'positive', 'negative', 'mixed', or 'neutral':\
+    \ \n\nSentence: I can say that there isn't anything I would change.\nLabel: positive\n\
+    \nSentence: I'm not sure about this.\nLabel: neutral\n\nSentence: I liked some\
+    \ parts but I didn't like other parts.\nLabel: mixed\n\nSentence: I think the\
+    \ background image could have been better.\nLabel: negative\n\nSentence: I really\
+    \ like it.\nLabel:"
   example_title: Sentiment Analysis
-- text: |-
-    Please answer the following question:
+- text: 'Please answer the following question:
+
 
     Question: What is the capital of Canada?
+
     Answer: Ottawa
 
+
     Question: What is the currency of Switzerland?
+
     Answer: Swiss franc
 
+
     Question: In which country is Wisconsin located?
-    Answer:
+
+    Answer:'
   example_title: Question Answering
-- text: >-
-    Given a news article, classify its topic.
+- text: 'Given a news article, classify its topic.
 
     Possible labels: 1. World 2. Sports 3. Business 4. Sci/Tech
 
 
-    Article: A nearby star thought to harbor comets and asteroids now appears to
-    be home to planets, too.
+    Article: A nearby star thought to harbor comets and asteroids now appears to be
+    home to planets, too.
 
     Label: Sci/Tech
 
 
-    Article: Soaring crude prices plus worries about the economy and the outlook
-    for earnings are expected to hang over the stock market next week during the
-    depth of the summer doldrums.
+    Article: Soaring crude prices plus worries about the economy and the outlook for
+    earnings are expected to hang over the stock market next week during the depth
+    of the summer doldrums.
 
     Label: Business
 
 
-    Article: Murtagh a stickler for success Northeastern field hockey coach
-    Cheryl Murtagh doesn't want the glare of the spotlight that shines on her to
-    detract from a team that has been the America East champion for the past
-    three years and has been to the NCAA tournament 13 times.
+    Article: Murtagh a stickler for success Northeastern field hockey coach Cheryl
+    Murtagh doesn''t want the glare of the spotlight that shines on her to detract
+    from a team that has been the America East champion for the past three years and
+    has been to the NCAA tournament 13 times.
 
-    Label::
+    Label::'
   example_title: Topic Classification
-- text: |-
-    Paraphrase the given sentence into a different sentence.
+- text: 'Paraphrase the given sentence into a different sentence.
+
 
     Input: Can you recommend some upscale restaurants in New York?
+
     Output: What upscale restaurants do you recommend in New York?
 
+
     Input: What are the famous places we should not miss in Paris?
+
     Output: Recommend some of the best places to visit in Paris?
 
+
     Input: Could you recommend some hotels that have cheap price in Zurich?
-    Output:
+
+    Output:'
   example_title: Paraphrasing
-- text: >-
-    Given a review from Amazon's food products, the task is to generate a short
+- text: 'Given a review from Amazon''s food products, the task is to generate a short
     summary of the given review in the input.
 
 
-    Input: I have bought several of the Vitality canned dog food products and
-    have found them all to be of good quality. The product looks more like a
-    stew than a processed meat and it smells better. My Labrador is finicky and
-    she appreciates this product better than most.
+    Input: I have bought several of the Vitality canned dog food products and have
+    found them all to be of good quality. The product looks more like a stew than
+    a processed meat and it smells better. My Labrador is finicky and she appreciates
+    this product better than most.
 
     Output: Good Quality Dog Food
 
 
-    Input: Product arrived labeled as Jumbo Salted Peanuts...the peanuts were
-    actually small sized unsalted. Not sure if this was an error or if the
-    vendor intended to represent the product as 'Jumbo'.
+    Input: Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually
+    small sized unsalted. Not sure if this was an error or if the vendor intended
+    to represent the product as ''Jumbo''.
 
     Output: Not as Advertised
 
 
-    Input: My toddler loves this game to a point where he asks for it. That's a
-    big thing for me. Secondly, no glitching unlike one of their competitors
-    (PlayShifu). Any tech I don’t have to reach out to support for help is a
-    good tech for me. I even enjoy some of the games and activities in this.
-    Overall, this is a product that shows that the developers took their time
-    and made sure people would not be asking for refund. I’ve become bias
-    regarding this product and honestly I look forward to buying more of this
-    company’s stuff. Please keep up the great work.
+    Input: My toddler loves this game to a point where he asks for it. That''s a big
+    thing for me. Secondly, no glitching unlike one of their competitors (PlayShifu).
+    Any tech I don’t have to reach out to support for help is a good tech for me.
+    I even enjoy some of the games and activities in this. Overall, this is a product
+    that shows that the developers took their time and made sure people would not
+    be asking for refund. I’ve become bias regarding this product and honestly I look
+    forward to buying more of this company’s stuff. Please keep up the great work.
 
-    Output:
+    Output:'
   example_title: Text Summarization
-- text: |-
-    Identify which sense of a word is meant in a given context.
+- text: 'Identify which sense of a word is meant in a given context.
+
 
     Context: The river overflowed the bank.
+
     Word: bank
+
     Sense: river bank
 
+
     Context: A mouse takes much more room than a trackball.
+
     Word: mouse
+
     Sense: computer mouse
 
+
     Context: The bank will not be accepting cash on Saturdays.
+
     Word: bank
+
     Sense: commercial (finance) banks
 
+
     Context: Bill killed the project
+
     Word: kill
-    Sense:
+
+    Sense:'
   example_title: Word Sense Disambiguation
-- text: >-
-    Given a pair of sentences, choose whether the two sentences agree
-    (entailment)/disagree (contradiction) with each other.
+- text: 'Given a pair of sentences, choose whether the two sentences agree (entailment)/disagree
+    (contradiction) with each other.
 
     Possible labels: 1. entailment 2. contradiction
 
 
-    Sentence 1: The skier was on the edge of the ramp. Sentence 2: The skier was
-    dressed in winter clothes.
+    Sentence 1: The skier was on the edge of the ramp. Sentence 2: The skier was dressed
+    in winter clothes.
 
     Label: entailment
 
 
-    Sentence 1: The boy skated down the staircase railing. Sentence 2: The boy
-    is a newbie skater.
+    Sentence 1: The boy skated down the staircase railing. Sentence 2: The boy is
+    a newbie skater.
 
     Label: contradiction
 
 
-    Sentence 1: Two middle-aged people stand by a golf hole. Sentence 2: A
-    couple riding in a golf cart.
+    Sentence 1: Two middle-aged people stand by a golf hole. Sentence 2: A couple
+    riding in a golf cart.
 
-    Label:
+    Label:'
   example_title: Natural Language Inference
 inference:
   parameters:
@@ -154,6 +160,109 @@ inference:
     top_p: 0.7
     top_k: 50
     max_new_tokens: 128
+model-index:
+- name: RedPajama-INCITE-Instruct-7B-v0.1
+  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: 44.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      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: 72.02
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      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: 37.62
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      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: 33.96
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      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: 64.96
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      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: 1.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=togethercomputer/RedPajama-INCITE-Instruct-7B-v0.1
+      name: Open LLM Leaderboard
 ---
 
 # RedPajama-INCITE-7B-Instruct
@@ -341,4 +450,17 @@ Please refer to [togethercomputer/RedPajama-Data-1T](https://huggingface.co/data
 
 ## Community
 
-Join us on [Together Discord](https://discord.gg/6ZVDU8tTD4)
+Join us on [Together Discord](https://discord.gg/6ZVDU8tTD4)
+# [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_togethercomputer__RedPajama-INCITE-Instruct-7B-v0.1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |42.38|
+|AI2 Reasoning Challenge (25-Shot)|44.11|
+|HellaSwag (10-Shot)              |72.02|
+|MMLU (5-Shot)                    |37.62|
+|TruthfulQA (0-shot)              |33.96|
+|Winogrande (5-shot)              |64.96|
+|GSM8k (5-shot)                   | 1.59|
+