model update

README.md

@@ -12,82 +12,74 @@ model-index:
       name: Token Classification
       type: token-classification
     dataset:
-      name: tner/tweetner7/test_2021
-      type: tner/tweetner7/test_2021
-      args: tner/tweetner7/test_2021
+      name: tner/tweetner7
+      type: tner/tweetner7
+      args: tner/tweetner7
     metrics:
-    - name: F1
+    - name: F1 (test_2021)
       type: f1
       value: 0.6321284238886395
-    - name: Precision
+    - name: Precision (test_2021)
       type: precision
       value: 0.6142015706806283
-    - name: Recall
+    - name: Recall (test_2021)
       type: recall
       value: 0.6511332099907493
-    - name: F1 (macro)
+    - name: Macro F1 (test_2021)
       type: f1_macro
       value: 0.583682304736069
-    - name: Precision (macro)
+    - name: Macro Precision (test_2021)
       type: precision_macro
       value: 0.5654677691354458
-    - name: Recall (macro)
+    - name: Macro Recall (test_2021)
       type: recall_macro
       value: 0.6047150410746663
-    - name: F1 (entity span)
+    - name: Entity Span F1 (test_2021)
       type: f1_entity_span
       value: 0.7703620544484986
-    - name: Precision (entity span)
+    - name: Entity Span Precision (test_2020)
       type: precision_entity_span
       value: 0.7484729493891797
-    - name: Recall (entity span)
+    - name: Entity Span Recall (test_2021)
       type: recall_entity_span
       value: 0.7935700242858795
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: tner/tweetner7/test_2020
-      type: tner/tweetner7/test_2020
-      args: tner/tweetner7/test_2020
-    metrics:
-    - name: F1
+    - name: F1 (test_2020)
       type: f1
       value: 0.6368775235531628
-    - name: Precision
+    - name: Precision (test_2020)
       type: precision
       value: 0.6616331096196868
-    - name: Recall
+    - name: Recall (test_2020)
       type: recall
       value: 0.6139076284379865
-    - name: F1 (macro)
+    - name: Macro F1 (test_2020)
       type: f1_macro
       value: 0.5976605759407211
-    - name: Precision (macro)
+    - name: Macro Precision (test_2020)
       type: precision_macro
       value: 0.6177069721428509
-    - name: Recall (macro)
+    - name: Macro Recall (test_2020)
       type: recall_macro
       value: 0.5812570646484104
-    - name: F1 (entity span)
+    - name: Entity Span F1 (test_2020)
       type: f1_entity_span
       value: 0.7542395693135936
-    - name: Precision (entity span)
+    - name: Entity Span Precision (test_2020)
       type: precision_entity_span
       value: 0.7835570469798657
-    - name: Recall (entity span)
+    - name: Entity Span Recall (test_2020)
       type: recall_entity_span
       value: 0.7270368448365335
 
 pipeline_tag: token-classification
 widget:
-- text: "Jacob Collier is a Grammy awarded artist from England."
+- text: "Get the all-analog Classic Vinyl Edition of `Takin' Off` Album from {{@Herbie Hancock@}} via {{USERNAME}} link below: {{URL}}"
   example_title: "NER Example 1"
 ---
 # tner/twitter-roberta-base-dec2021-tweetner7-random
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-dec2021](https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021) on the 
-[tner/tweetner7](https://huggingface.co/datasets/tner/tweetner7) dataset.
+[tner/tweetner7](https://huggingface.co/datasets/tner/tweetner7) dataset (`train_random` split).
 Model fine-tuning is done via [T-NER](https://github.com/asahi417/tner)'s hyper-parameter search (see the repository
 for more detail). It achieves the following results on the test set of 2021:
 - F1 (micro): 0.6321284238886395