Add evaluation results on the offensive config and train split of tweet_eval

README.md

@@ -4,6 +4,23 @@ datasets:
 metrics:
 - f1
 - accuracy
+pipeline_tag: text-classification
+widget:
+- text: Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@}
+    via {@bluenoterecords@} link below {{URL}}
+  example_title: topic_classification 1
+- text: Yes, including Medicare and social security saving👍
+  example_title: sentiment 1
+- text: All two of them taste like ass.
+  example_title: offensive 1
+- text: If you wanna look like a badass, have drama on social media
+  example_title: irony 1
+- text: Whoever just unfollowed me you a bitch
+  example_title: hate 1
+- text: I love swimming for the same reason I love meditating...the feeling of weightlessness.
+  example_title: emotion 1
+- text: Beautiful sunset last night from the pontoon @TupperLakeNY
+  example_title: emoji 1
 model-index:
 - name: cardiffnlp/roberta-base-offensive
   results:
@@ -13,33 +30,81 @@ model-index:
     dataset:
       name: tweet_eval
       type: offensive
-      split: test 
+      split: test
     metrics:
-    - name: Micro F1 (tweet_eval/offensive)
-      type: micro_f1_tweet_eval/offensive
+    - type: micro_f1_tweet_eval/offensive
       value: 0.8441860465116279
-    - name: Macro F1 (tweet_eval/offensive)
-      type: micro_f1_tweet_eval/offensive
+      name: Micro F1 (tweet_eval/offensive)
+    - type: micro_f1_tweet_eval/offensive
       value: 0.8038468085106383
-    - name: Accuracy (tweet_eval/offensive)
-      type: accuracy_tweet_eval/offensive
+      name: Macro F1 (tweet_eval/offensive)
+    - type: accuracy_tweet_eval/offensive
       value: 0.8441860465116279
-pipeline_tag: text-classification
-widget:
-- text: Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}
-  example_title: "topic_classification 1" 
-- text: Yes, including Medicare and social security saving👍
-  example_title: "sentiment 1" 
-- text: All two of them taste like ass.
-  example_title: "offensive 1" 
-- text: If you wanna look like a badass, have drama on social media
-  example_title: "irony 1" 
-- text: Whoever just unfollowed me you a bitch
-  example_title: "hate 1" 
-- text: I love swimming for the same reason I love meditating...the feeling of weightlessness.
-  example_title: "emotion 1" 
-- text: Beautiful sunset last night from the pontoon @TupperLakeNY
-  example_title: "emoji 1" 
+      name: Accuracy (tweet_eval/offensive)
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: tweet_eval
+      type: tweet_eval
+      config: offensive
+      split: train
+    metrics:
+    - type: accuracy
+      value: 0.8775595837529372
+      name: Accuracy
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTQ3ZjIwZDAyZDc5MmU0ZWE3Mjg3MGZkMzJjYTA4ODYxMmI1NmUyNWUyMWQwYjhhOThiMjVlYzcwMTIyYWE3NiIsInZlcnNpb24iOjF9.FGKrLdRO1Iljnac-g6wty0HrcE5vwfHpWzRtzm-lPKsInyrGbtFC6mh6fpWHquoKZN_XVD-3Ju1ivROv3PsYDA
+    - type: f1
+      value: 0.8617195443801995
+      name: F1 Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmE2MTJkNjUzOTczN2NkNzFmZmFkMmVlNzNkMTQxNThmYjY1NDJmYjI2MjJhZjc2M2I1OTJlYjg3ODQ5NTAwYiIsInZlcnNpb24iOjF9.JyPCbdFBiSnKAHO_fpGPKolFfS-QxCmgGILFTtRsO0yr53SFWZzvuWU3LF4eG_EkCskOCkhzJHe9ydFScf1cCg
+    - type: f1
+      value: 0.8775595837529372
+      name: F1 Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWJjZDdiNGQxYTEzOWM1ZWU2NzI5MDkyNmQ2NjNhYWMzZmUyMmU4YWYyMjQ3ZjlkNDFhNGFiZmM0ZjEyMmE0MSIsInZlcnNpb24iOjF9.h4RE_k9PKIV2aoJxt9K_hStetS0jvvnZuumo6EWqZek1jrVdNCw8hecEfpDxCMuV1nJG_Nb1Qb2CPHaehoiaAA
+    - type: f1
+      value: 0.8775635113600219
+      name: F1 Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjczZjlhOTlmOTYyOGZkODFhMzBkNThjNmQ3ZTVhZTY0ZTQ2YWY3YTY4ZDU1M2E5ZmEyMmFmODI2NjJjMTc5YiIsInZlcnNpb24iOjF9.LNoaYMgzp63FR4pgt49Bi-6Fwb7ocicdGesMntzBV9Y_eNl7f4Jx-Jl1V8jjB-Mas_Fj1BHqYgmVnsokZEnDCA
+    - type: precision
+      value: 0.8616963464593261
+      name: Precision Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWQ2MmI4YTI2NThlMDExODhkYzVhOGY4NmFlNjAxMzNjOTQ2NzNjYTBhYmM2NGRkYzIyYTEwYmQ2MDhhYzc5MyIsInZlcnNpb24iOjF9.dcwR0Y2MUzNt_-YSNFyLzxsVzCAglflGeLEm1EhQ2xU9cOpxKmGOADEETRVN-s8Qo-rfR0UTLBf8s1m_AJ01Bg
+    - type: precision
+      value: 0.8775595837529372
+      name: Precision Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjdlN2VhNjllYjNhMDM1NmQwZGVkMTZiZjY1ZjgxNDZlMDRlZjY2NGE2NzkwOTIwMzBlODQ1NTIwOTUzODVhMiIsInZlcnNpb24iOjF9.bMukPZRCgLsH5bRqkUys1DjubnLFh39mj0JEmWkGNPKNqgRq11IDsHpMICK2l8_kW25_wpiThELRXlYWI8L6CA
+    - type: precision
+      value: 0.8775674524222297
+      name: Precision Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWU2NDE3NzkxYjFlNDM3ZmI4MzQwYTVjOWVkY2Q3MTIwZGVlZTUzYzBkNGFmMjU4ODVlZTQwYTdlYzBlNDRjNSIsInZlcnNpb24iOjF9.PLj9bhs5wyqcANvgiYVbf8Gnpkn7H1IWg7lUjXez60QxfOcN0LdXbGttxu_y13Q41mbF4RW9MkC_OlVgxgiOBw
+    - type: recall
+      value: 0.8617427589865883
+      name: Recall Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzllZDBjMGY2ZTYyYTA5ODc4NjU1NWZkYTM4MWZlMDFkNjJhYTg3MTYwODYyZDYwYzc5MDliMTAzM2Q2NTk4YyIsInZlcnNpb24iOjF9.PUlMOsCQrowlUu1GGR9T2Hd50cOLsQHwu1FuwiLvWB25fLJYjFGTIai0UdBmtlTSKmviye_QzXrX1H_dJUAkBA
+    - type: recall
+      value: 0.8775595837529372
+      name: Recall Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjhkMzYxMWNmZjYxYTE2N2JjMjRhOWQ4YjZhMzI3NWU2YWI2ODI2MGViZmE0M2NkYjdmYmRmNTBkMjkwOTVlNiIsInZlcnNpb24iOjF9.PT7NY-polKG346y1T7fq1vC_wtzI_niOFeIuCZqXbexwnmtPKQYZGW8ag3690u4D_8wP9KQlJuPimiiO5OzRBg
+    - type: recall
+      value: 0.8775595837529372
+      name: Recall Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmY5M2RkZmU2ZDQyNzIzYjA4MGY3MTZmMGViYTU3OWI4ODFlN2VhOWVhYWEwN2VkOWM3YTQ0ODU3NDk5MzNkMSIsInZlcnNpb24iOjF9.U1k9ishrbEKkcceXP-FgodUG-GbE-g1B1tK-hCpZNpCYKicZrxI7Ft5fNZ9jGjO8_eRZNpL8o1DYmON2-kjFBw
+    - type: loss
+      value: 0.31321173906326294
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWMwYzM0MTg5YWEzYjBmMTg2NjgwMDc5NDY5NmQ4NWU1MjNjMTE4NzNmMDZmNWQzZGNlZDc3NGZjNzQzZTVjNiIsInZlcnNpb24iOjF9.YGXjIov_YlgdewGVUVySHZwVd874bUxvAkHcNXYf3j_at4DB14V1KLXmts0xXyHz0iTqJPjS6frr0aTHcixvBA
 ---
 # cardiffnlp/roberta-base-offensive