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

@bonbon

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-81757492-8865171).\
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

@@ -2,7 +2,7 @@
 tags: autotrain
 language: en
 widget:
-- text: "I love AutoTrain 🤗"
+- text: "I love AutoTrain \U0001F917"
 datasets:
 - lewtun/autotrain-data-acronym-identification
 - acronym_identification
@@ -21,6 +21,35 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9708090976211485
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: acronym_identification
+      type: acronym_identification
+      config: default
+      split: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9790777669399117
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9197835301644851
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.946479027789208
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9329403493591477
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.06360606849193573
+      verified: true
 ---
 
 # Model Trained Using AutoTrain