Update README.md

README.md

@@ -1,5 +1,7 @@
 ---
 license: apache-2.0
+lang:
+- en
 tags:
 - generated_from_trainer
 metrics:
@@ -7,17 +9,24 @@ metrics:
 - recall
 - accuracy
 - f1
+datasets:
+- SetFit/enron_spam
 model-index:
 - name: bert-tiny-finetuned-enron-spam-detection
   results: []
+  
+widget:
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 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# bert-tiny-finetuned-enron-spam-detection
+# BERT-Tiny fine-tuned on Enron Spam Detection
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) (aka BERT-Yiny) on an [SetFit/enron_spam](https://huggingface.co/datasets/SetFit/enron_spam) for `Spam Dectection` downstream task.
+
 
-This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0593
 - Precision: 0.9851