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/twitter-roberta-base-2021-124m-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: 0.858139534883721
-    - 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: 0.8232706055154664
-    - name: Accuracy (tweet_eval/offensive)
-      type: accuracy_tweet_eval/offensive
+      name: Macro F1 (tweet_eval/offensive)
+    - type: accuracy_tweet_eval/offensive
       value: 0.858139534883721
-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: 0.8682443773078214
+      name: Accuracy
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGJkNTljNjU4ZmFmYjVlN2M5YjMxOTEyMzhhYzA0OWYzM2U1MWVlOGQ1ZTJmNGY3YTNjODNmYzgxZjA3NGE4NiIsInZlcnNpb24iOjF9.NY_hmncAf9F010pQucmbKhIWhVWfyGpcUNyavHA53tYC-sGQOzQde8sifPOGTVFq2u7n7YWEYM_6OUHY8Z2RAQ
+    - type: f1
+      value: 0.8532408201027345
+      name: F1 Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzdlNjFiOWMzZTdkYmFmOWQ1ODU2YWU5OTg3YzQwZjY1ODdhYjE3ZDc0ODUxZDZiM2FmZDY4NzA1MzY3MGUxZSIsInZlcnNpb24iOjF9.8sqfFWNsda-hnnYSvHJQCJczkarfPftYaCKpYxIC3RFAc3XRCdpVvEBqOzhsJ3m2kgCVVdHXrg8WbSEDh9mEBA
+    - type: f1
+      value: 0.8682443773078214
+      name: F1 Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmExOWFhODliM2IyMDU0Y2U1ZTZiOTM2MWM5MWExNGRjYjMwMmE0MmEyNDRjOTgxNDEwN2Q1M2I5Yjg4OWZhMyIsInZlcnNpb24iOjF9.KKiMpInK2uYzTZT7ECGwpF8uR9rEfi3NO-NySGhs42IVGDVekXlg6LB7JdMR7OVN5Hpj6KTAtX3B9Ku_0sMOCg
+    - type: f1
+      value: 0.8691264762091178
+      name: F1 Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjdlYWQ4N2NkODJmY2ZkZTNiZjgzOTIwMTMyYzg1MjgwOTc3Y2ZmMGE3NTQ1NGM4ODhhMTc5YTQzODVhMGRlNyIsInZlcnNpb24iOjF9.-CIWG5eSbCdonG6iIIKuzLFEfV2-zx7eNjNtagaKf0zccn0hgLN5pLgwwZQnieUb8cjLE5EjDtV6HUJbh_qBBw
+    - type: precision
+      value: 0.8489031737065875
+      name: Precision Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTE1YmFiMDFhNjQyM2Q4YTYwZWU0NGU5MzAzYmU3NDBkODQzOGE1ODkwYWJkN2E5MzJmMDQxNTU5OTEwOWIzMyIsInZlcnNpb24iOjF9.8022ApT081k_TZGFFL1zdpZBQE6BXNDMLtkcLQBp1nkiyECh3AhHMw1y-YPO5zmMVwMwhjY7L0CjJZIye6ZcCw
+    - type: precision
+      value: 0.8682443773078214
+      name: Precision Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTEyZDFlNWIyNzIzYWRkMzk1OTEzNGU3NDNiYWFlNTQyODJjNTc4YTMyYmEyZDdhZGJjY2E0MWVkY2Q1MWRmOCIsInZlcnNpb24iOjF9.GSHQgLs8ybqBHQHFinysfDnQmg1IZfbAsZP5fNDLIGi9F7uDhwyp2bovVRtcc7P5zsHKt0SvC1wOpZV4qL6RBg
+    - type: precision
+      value: 0.8706606793751257
+      name: Precision Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmQyOTc3Y2IzNzNhYjczZWMyNGRjM2VlMTYyYzJlZWYyMWFlOWJlNjg4NjYyM2RkMGU4MTZhNjRiMGNmMDhjMCIsInZlcnNpb24iOjF9.ETcK2QE85cr6gUzQjuZAhZSitf7Q71bko0YgxejPRblaDgoFBIIDgvnwr2P0570Z_aY2phqLJVY4H0uWaQw3DA
+    - type: recall
+      value: 0.8583773352879741
+      name: Recall Macro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmJlYjVmYzg4OGEzNmFlYTVmNTAyMzEwNGQwMWYxNTNiOWY5ODRmZmUyYzZiODVlY2M2MGI5MDQ5NTNkNTA5MiIsInZlcnNpb24iOjF9.sSwm_LY3NFoisGUZntYDtRCZ6Qmi6cl1018LUgugDtIQBT2sOk_QyotICk4wuzrG6Z6K2MWYVrT7vP-vTEpfBA
+    - type: recall
+      value: 0.8682443773078214
+      name: Recall Micro
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTNlNjBmMjc4MmI4YzNiOWQ2ZWUxNTJkN2Q0MDlmYWZjOGQ0NDI0Zjk0ZmNlYzM5Nzk3YzE1OWM5MGMxY2NlOSIsInZlcnNpb24iOjF9.Yb-IGL2iR1vuEbpN3dFDTnsh1w3yTsL5oP4WGnqmj01knATG45MJYtPyC_eKIGR20HaW9iR_aVCW8GE2TpZUAg
+    - type: recall
+      value: 0.8682443773078214
+      name: Recall Weighted
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGM2YmMxZGM0MmZiMzc1MmM3MTdjN2Q0ZGY0OTUzM2IzOWJhYjViNTI0YjU4NmQ3YTQzOTllODUzNjZiNzA2OCIsInZlcnNpb24iOjF9.tFJUmy4JxCO7R6tCalkA1T0251hrCB6GUUUt7WmeCDRRFfkZe8GLXqhnW1gBvgv0g5cGeNHw6uYwOh4hpa6DCA
+    - type: loss
+      value: 0.33106717467308044
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmIwODg3MzA0NWY1YTAwZjk5ZThhNzM2MzcxMTI1ZjdiOWM1ZTNlODMwZGFmZDMyYjY0NjA0NjRiNzhiNjEwZSIsInZlcnNpb24iOjF9.Habwn92oQOuGBmw_K5hZamuJItEz-XeKhL4Q3PJJyL_9L5xbD2FKGXaYHcjalJFqZRqwQbsQ8JqEjErxqQPKDg
 ---
 # cardiffnlp/twitter-roberta-base-2021-124m-offensive