Update model card metadata and W&B

README.md

@@ -1,5 +1,6 @@
 ---
 language: "en"
+license: apache-2.0
 tags:
 - financial-sentiment-analysis
 - sentiment-analysis
@@ -11,12 +12,45 @@ widget:
 - text: "ImaginaryJetCo bookings hit by Omicron variant as losses total £1bn."
 - text: "Q1 ImaginaryGame's earnings beat expectations."
 - text: "Should we buy IMAGINARYSTOCK today?"
+metrics:
+- recall
+- f1
+- accuracy
+- precision
+model-index:
+- name: fin-perceiver
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: financial_phrasebank
+      type: financial_phrasebank
+      args: sentences_50agree
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8624
+    - name: F1
+      type: f1
+      value: 0.8416
+      args: macro
+    - name: Precision
+      type: precision
+      value: 0.8438
+      args: macro
+    - name: Recall
+      type: recall
+      value: 0.8415
+      args: macro
 ---
 
 # FINPerceiver
 FINPerceiver is a fine-tuned Perceiver IO language model for financial sentiment analysis.
 More details on the training process of this model are available on the [GitHub repository](https://github.com/warwickai/fin-perceiver).
 
+Weights & Biases was used to track experiments.
+
 We achieved the following results with 10-fold cross validation.
 
 ```