Add evaluation results on acronym_identification dataset

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [acronym_identification](https://huggingface.co/datasets/acronym_identification) dataset by

@Felixver
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-ea06fa04-9805305).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=acronym_identification).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=acronym_identification).

README.md

@@ -50,6 +50,35 @@ model-index:
       type: loss
       value: 0.06360606849193573
       verified: true
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: acronym_identification
+      type: acronym_identification
+      config: default
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9758354452761242
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9339674814732883
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9159344831326608
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9248630887185104
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.07593930512666702
+      verified: true
 ---
 
 # Model Trained Using AutoTrain