Librarian Bot: Add base_model information to model

README.md

@@ -1,37 +1,32 @@
 ---
-language: 
-  - pl
-
-pipeline_tag: text-classification
-
-widget:
-- text: "Przykro patrzeć, a słuchać się nie da."
-  example_title: "example 1"
-- text: "Oczywiście ze Pan Prezydent to nasza duma narodowa!!"
-  example_title: "example 2"
-  
+language:
+- pl
 tags:
-  - text
-  - sentiment
-  - politics
-
+- text
+- sentiment
+- politics
 metrics:
-  - accuracy 
-  - f1
-
+- accuracy
+- f1
+pipeline_tag: text-classification
+widget:
+- text: Przykro patrzeć, a słuchać się nie da.
+  example_title: example 1
+- text: Oczywiście ze Pan Prezydent to nasza duma narodowa!!
+  example_title: example 2
+base_model: dkleczek/bert-base-polish-cased-v1
 model-index:
 - name: PaReS-sentimenTw-political-PL
   results:
   - task:
-      type: sentiment-classification             # Required. Example: automatic-speech-recognition
-      name: Text Classification            # Optional. Example: Speech Recognition
+      type: sentiment-classification
+      name: Text Classification
     dataset:
-      type: tweets          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: tweets_2020_electionsPL          # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: tweets_2020_electionsPL
+      type: tweets
     metrics:
-      - type: f1          # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 94.4       # Required. Example: 20.90
-
+    - type: f1
+      value: 94.4
 ---
 
 # PaReS-sentimenTw-political-PL