Update README.md

README.md

@@ -2,18 +2,51 @@
 tags:
 - generated_from_keras_callback
 model-index:
-- name: arbert-sarcasm-detector
+- name: arabert-sarcasm-detector
   results: []
+license: afl-3.0
+language:
+- ar
+metrics:
+- accuracy
+- F1 score
+- precession
+- recall
+pipeline_tag: text-classification
+widget:
+- text: "العلم نور و الجهل ضلال"
+  example_title: "NS 01"
+- text: " .جمع كلمة امراءة هي كلمة نساء"
+  example_title: "NS 02"
+- text: ".للجامعة العربية موقفا كبيرا"
+  example_title: "NS 03"
+- text: "شهر أكتوبر ده شهر عسل بجد مبيجبش ليا فيه غير الاكتئاب كل سنه"
+  example_title: "Sarc 01"
+- text: " !جمع كلمة امراءة هي  نساء!!! :):) حتى اللغة العربية مش قادرة عليهم "
+  example_title: "Sarc 02"
+- text: " 🙂🙂جامعة العربية موقفا كبيرا يتسع لاكثر من الف سيارة !!!!!!!!"
+  example_title: "Sarc 03"
+- text: " فى ناس زى النسكافيه ثلاثة فى واحد يتكلموا معاك وعنك وعليك"
+  example_title: "Sarc 04"
+- text: "!!هو أنت كدة عايش؟ يا بني دا أنت ميت بالحياة"
+  example_title: "Sarc 05"
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# arbert-sarcasm-detector
+# arabert-sarcasm-detector
 
-This model was trained from scratch on an unknown dataset.
+This model is fine-tuned aubmindlab/bert-base-arabertv02-twitter  was Fintuned on ArSarcasT dataset.
 It achieves the following results on the evaluation set:
 
+| Eval Datatset| Accuracy  |  F1	 | Precession	| Recall|
+| :-----      | :---:     | :---:   | :---:        | :---: |
+|ArSarcasT	   |0.831 	   | 0.716 	 |  0.727 	    | 0.705 |
+|iSarcasmEVAL  |0.886 	   | 0.619 	 |	0.591 	    | 0.650 |
+|AraSarcasmV2  |0.765 	   | 0.553   |  0.577 	    | 0.532 |
+|IDAT	       |0.796 	   | 0.794 	 |  0.769       | 0.821 |
+
 
 ## Model description
 
@@ -43,4 +76,4 @@ The following hyperparameters were used during training:
 
 - Transformers 4.28.1
 - TensorFlow 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3