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

@@ -1,19 +1,19 @@
 ---
-pipeline_tag: text-generation
-inference: true
 license: apache-2.0
-datasets:
-- GritLM/tulu2
 tags:
 - mteb
+datasets:
+- GritLM/tulu2
+pipeline_tag: text-generation
+inference: true
 model-index:
 - name: GritLM-7B
   results:
   - task:
       type: Classification
     dataset:
-      type: mteb/amazon_counterfactual
       name: MTEB AmazonCounterfactualClassification (en)
+      type: mteb/amazon_counterfactual
       config: en
       split: test
       revision: e8379541af4e31359cca9fbcf4b00f2671dba205
@@ -27,8 +27,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/amazon_polarity
       name: MTEB AmazonPolarityClassification
+      type: mteb/amazon_polarity
       config: default
       split: test
       revision: e2d317d38cd51312af73b3d32a06d1a08b442046
@@ -42,8 +42,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/amazon_reviews_multi
       name: MTEB AmazonReviewsClassification (en)
+      type: mteb/amazon_reviews_multi
       config: en
       split: test
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
@@ -55,8 +55,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: arguana
       name: MTEB ArguAna
+      type: arguana
       config: default
       split: test
       revision: None
@@ -124,8 +124,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/arxiv-clustering-p2p
       name: MTEB ArxivClusteringP2P
+      type: mteb/arxiv-clustering-p2p
       config: default
       split: test
       revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
@@ -135,8 +135,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/arxiv-clustering-s2s
       name: MTEB ArxivClusteringS2S
+      type: mteb/arxiv-clustering-s2s
       config: default
       split: test
       revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
@@ -146,8 +146,8 @@ model-index:
   - task:
       type: Reranking
     dataset:
-      type: mteb/askubuntudupquestions-reranking
       name: MTEB AskUbuntuDupQuestions
+      type: mteb/askubuntudupquestions-reranking
       config: default
       split: test
       revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
@@ -159,8 +159,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/biosses-sts
       name: MTEB BIOSSES
+      type: mteb/biosses-sts
       config: default
       split: test
       revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
@@ -180,8 +180,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/banking77
       name: MTEB Banking77Classification
+      type: mteb/banking77
       config: default
       split: test
       revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
@@ -193,8 +193,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/biorxiv-clustering-p2p
       name: MTEB BiorxivClusteringP2P
+      type: mteb/biorxiv-clustering-p2p
       config: default
       split: test
       revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
@@ -204,8 +204,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/biorxiv-clustering-s2s
       name: MTEB BiorxivClusteringS2S
+      type: mteb/biorxiv-clustering-s2s
       config: default
       split: test
       revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
@@ -215,8 +215,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: BeIR/cqadupstack
       name: MTEB CQADupstackAndroidRetrieval
+      type: BeIR/cqadupstack
       config: default
       split: test
       revision: None
@@ -281,15 +281,6 @@ model-index:
       value: 56.58
     - type: recall_at_5
       value: 63.125
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackEnglishRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 38.025999999999996
     - type: map_at_10
@@ -350,15 +341,6 @@ model-index:
       value: 54.493
     - type: recall_at_5
       value: 59.64699999999999
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackGamingRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 47.905
     - type: map_at_10
@@ -419,15 +401,6 @@ model-index:
       value: 67.05600000000001
     - type: recall_at_5
       value: 74.261
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackGisRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 30.745
     - type: map_at_10
@@ -488,15 +461,6 @@ model-index:
       value: 45.378
     - type: recall_at_5
       value: 53.580000000000005
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackMathematicaRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 19.637999999999998
     - type: map_at_10
@@ -557,15 +521,6 @@ model-index:
       value: 36.384
     - type: recall_at_5
       value: 43.964
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackPhysicsRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 34.884
     - type: map_at_10
@@ -626,15 +581,6 @@ model-index:
       value: 52.428
     - type: recall_at_5
       value: 60.662000000000006
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackProgrammersRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 31.588
     - type: map_at_10
@@ -695,15 +641,6 @@ model-index:
       value: 47.128
     - type: recall_at_5
       value: 54.954
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 31.956083333333336
     - type: map_at_10
@@ -764,15 +701,6 @@ model-index:
       value: 47.52016666666666
     - type: recall_at_5
       value: 54.36066666666666
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackStatsRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 28.912
     - type: map_at_10
@@ -833,15 +761,6 @@ model-index:
       value: 42.569
     - type: recall_at_5
       value: 48.719
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackTexRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 22.181
     - type: map_at_10
@@ -902,15 +821,6 @@ model-index:
       value: 35.003
     - type: recall_at_5
       value: 40.876000000000005
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackUnixRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 33.934999999999995
     - type: map_at_10
@@ -971,15 +881,6 @@ model-index:
       value: 47.439
     - type: recall_at_5
       value: 54.567
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackWebmastersRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 32.058
     - type: map_at_10
@@ -1040,15 +941,6 @@ model-index:
       value: 47.509
     - type: recall_at_5
       value: 52.455
-  - task:
-      type: Retrieval
-    dataset:
-      type: BeIR/cqadupstack
-      name: MTEB CQADupstackWordpressRetrieval
-      config: default
-      split: test
-      revision: None
-    metrics:
     - type: map_at_1
       value: 26.029000000000003
     - type: map_at_10
@@ -1112,8 +1004,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: climate-fever
       name: MTEB ClimateFEVER
+      type: climate-fever
       config: default
       split: test
       revision: None
@@ -1181,8 +1073,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: dbpedia-entity
       name: MTEB DBPedia
+      type: dbpedia-entity
       config: default
       split: test
       revision: None
@@ -1250,8 +1142,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/emotion
       name: MTEB EmotionClassification
+      type: mteb/emotion
       config: default
       split: test
       revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
@@ -1263,8 +1155,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: fever
       name: MTEB FEVER
+      type: fever
       config: default
       split: test
       revision: None
@@ -1332,8 +1224,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: fiqa
       name: MTEB FiQA2018
+      type: fiqa
       config: default
       split: test
       revision: None
@@ -1401,8 +1293,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: hotpotqa
       name: MTEB HotpotQA
+      type: hotpotqa
       config: default
       split: test
       revision: None
@@ -1470,8 +1362,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/imdb
       name: MTEB ImdbClassification
+      type: mteb/imdb
       config: default
       split: test
       revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
@@ -1485,8 +1377,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: msmarco
       name: MTEB MSMARCO
+      type: msmarco
       config: default
       split: dev
       revision: None
@@ -1554,8 +1446,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/mtop_domain
       name: MTEB MTOPDomainClassification (en)
+      type: mteb/mtop_domain
       config: en
       split: test
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
@@ -1567,8 +1459,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/mtop_intent
       name: MTEB MTOPIntentClassification (en)
+      type: mteb/mtop_intent
       config: en
       split: test
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
@@ -1580,8 +1472,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/amazon_massive_intent
       name: MTEB MassiveIntentClassification (en)
+      type: mteb/amazon_massive_intent
       config: en
       split: test
       revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
@@ -1593,8 +1485,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/amazon_massive_scenario
       name: MTEB MassiveScenarioClassification (en)
+      type: mteb/amazon_massive_scenario
       config: en
       split: test
       revision: 7d571f92784cd94a019292a1f45445077d0ef634
@@ -1606,8 +1498,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/medrxiv-clustering-p2p
       name: MTEB MedrxivClusteringP2P
+      type: mteb/medrxiv-clustering-p2p
       config: default
       split: test
       revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
@@ -1617,8 +1509,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/medrxiv-clustering-s2s
       name: MTEB MedrxivClusteringS2S
+      type: mteb/medrxiv-clustering-s2s
       config: default
       split: test
       revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
@@ -1628,8 +1520,8 @@ model-index:
   - task:
       type: Reranking
     dataset:
-      type: mteb/mind_small
       name: MTEB MindSmallReranking
+      type: mteb/mind_small
       config: default
       split: test
       revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
@@ -1641,8 +1533,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: nfcorpus
       name: MTEB NFCorpus
+      type: nfcorpus
       config: default
       split: test
       revision: None
@@ -1710,8 +1602,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: nq
       name: MTEB NQ
+      type: nq
       config: default
       split: test
       revision: None
@@ -1779,8 +1671,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: quora
       name: MTEB QuoraRetrieval
+      type: quora
       config: default
       split: test
       revision: None
@@ -1848,8 +1740,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/reddit-clustering
       name: MTEB RedditClustering
+      type: mteb/reddit-clustering
       config: default
       split: test
       revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
@@ -1859,8 +1751,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/reddit-clustering-p2p
       name: MTEB RedditClusteringP2P
+      type: mteb/reddit-clustering-p2p
       config: default
       split: test
       revision: 282350215ef01743dc01b456c7f5241fa8937f16
@@ -1870,8 +1762,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: scidocs
       name: MTEB SCIDOCS
+      type: scidocs
       config: default
       split: test
       revision: None
@@ -1939,8 +1831,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sickr-sts
       name: MTEB SICK-R
+      type: mteb/sickr-sts
       config: default
       split: test
       revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
@@ -1960,8 +1852,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts12-sts
       name: MTEB STS12
+      type: mteb/sts12-sts
       config: default
       split: test
       revision: a0d554a64d88156834ff5ae9920b964011b16384
@@ -1981,8 +1873,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts13-sts
       name: MTEB STS13
+      type: mteb/sts13-sts
       config: default
       split: test
       revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
@@ -2002,8 +1894,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts14-sts
       name: MTEB STS14
+      type: mteb/sts14-sts
       config: default
       split: test
       revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
@@ -2023,8 +1915,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts15-sts
       name: MTEB STS15
+      type: mteb/sts15-sts
       config: default
       split: test
       revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
@@ -2044,8 +1936,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts16-sts
       name: MTEB STS16
+      type: mteb/sts16-sts
       config: default
       split: test
       revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
@@ -2065,8 +1957,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts17-crosslingual-sts
       name: MTEB STS17 (en-en)
+      type: mteb/sts17-crosslingual-sts
       config: en-en
       split: test
       revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
@@ -2086,8 +1978,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/sts22-crosslingual-sts
       name: MTEB STS22 (en)
+      type: mteb/sts22-crosslingual-sts
       config: en
       split: test
       revision: eea2b4fe26a775864c896887d910b76a8098ad3f
@@ -2107,8 +1999,8 @@ model-index:
   - task:
       type: STS
     dataset:
-      type: mteb/stsbenchmark-sts
       name: MTEB STSBenchmark
+      type: mteb/stsbenchmark-sts
       config: default
       split: test
       revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
@@ -2128,8 +2020,8 @@ model-index:
   - task:
       type: Reranking
     dataset:
-      type: mteb/scidocs-reranking
       name: MTEB SciDocsRR
+      type: mteb/scidocs-reranking
       config: default
       split: test
       revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
@@ -2141,8 +2033,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: scifact
       name: MTEB SciFact
+      type: scifact
       config: default
       split: test
       revision: None
@@ -2210,8 +2102,8 @@ model-index:
   - task:
       type: PairClassification
     dataset:
-      type: mteb/sprintduplicatequestions-pairclassification
       name: MTEB SprintDuplicateQuestions
+      type: mteb/sprintduplicatequestions-pairclassification
       config: default
       split: test
       revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
@@ -2265,8 +2157,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/stackexchange-clustering
       name: MTEB StackExchangeClustering
+      type: mteb/stackexchange-clustering
       config: default
       split: test
       revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
@@ -2276,8 +2168,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/stackexchange-clustering-p2p
       name: MTEB StackExchangeClusteringP2P
+      type: mteb/stackexchange-clustering-p2p
       config: default
       split: test
       revision: 815ca46b2622cec33ccafc3735d572c266efdb44
@@ -2287,8 +2179,8 @@ model-index:
   - task:
       type: Reranking
     dataset:
-      type: mteb/stackoverflowdupquestions-reranking
       name: MTEB StackOverflowDupQuestions
+      type: mteb/stackoverflowdupquestions-reranking
       config: default
       split: test
       revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
@@ -2300,8 +2192,8 @@ model-index:
   - task:
       type: Summarization
     dataset:
-      type: mteb/summeval
       name: MTEB SummEval
+      type: mteb/summeval
       config: default
       split: test
       revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
@@ -2317,8 +2209,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: trec-covid
       name: MTEB TRECCOVID
+      type: trec-covid
       config: default
       split: test
       revision: None
@@ -2386,8 +2278,8 @@ model-index:
   - task:
       type: Retrieval
     dataset:
-      type: webis-touche2020
       name: MTEB Touche2020
+      type: webis-touche2020
       config: default
       split: test
       revision: None
@@ -2455,8 +2347,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/toxic_conversations_50k
       name: MTEB ToxicConversationsClassification
+      type: mteb/toxic_conversations_50k
       config: default
       split: test
       revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
@@ -2470,8 +2362,8 @@ model-index:
   - task:
       type: Classification
     dataset:
-      type: mteb/tweet_sentiment_extraction
       name: MTEB TweetSentimentExtractionClassification
+      type: mteb/tweet_sentiment_extraction
       config: default
       split: test
       revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
@@ -2483,8 +2375,8 @@ model-index:
   - task:
       type: Clustering
     dataset:
-      type: mteb/twentynewsgroups-clustering
       name: MTEB TwentyNewsgroupsClustering
+      type: mteb/twentynewsgroups-clustering
       config: default
       split: test
       revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
@@ -2494,8 +2386,8 @@ model-index:
   - task:
       type: PairClassification
     dataset:
-      type: mteb/twittersemeval2015-pairclassification
       name: MTEB TwitterSemEval2015
+      type: mteb/twittersemeval2015-pairclassification
       config: default
       split: test
       revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
@@ -2549,8 +2441,8 @@ model-index:
   - task:
       type: PairClassification
     dataset:
-      type: mteb/twitterurlcorpus-pairclassification
       name: MTEB TwitterURLCorpus
+      type: mteb/twitterurlcorpus-pairclassification
       config: default
       split: test
       revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
@@ -2601,6 +2493,106 @@ model-index:
       value: 87.47814292587448
     - type: max_f1
       value: 80.15461150280949
+  - 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: 58.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      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: 80.97
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      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: 60.29
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      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: 45.86
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      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: 78.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      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: 45.03
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GritLM/GritLM-7B
+      name: Open LLM Leaderboard
 ---
 
 # Model Summary
@@ -2632,4 +2624,17 @@ The model usage is documented [here](https://github.com/ContextualAI/gritlm?tab=
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```
+```
+# [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_GritLM__GritLM-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |61.41|
+|AI2 Reasoning Challenge (25-Shot)|58.11|
+|HellaSwag (10-Shot)              |80.97|
+|MMLU (5-Shot)                    |60.29|
+|TruthfulQA (0-shot)              |45.86|
+|Winogrande (5-shot)              |78.22|
+|GSM8k (5-shot)                   |45.03|
+