Updata readme

README.md

@@ -5,23 +5,23 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: my_awesome_model
+- name: domain_classification
   results: []
 ---
 
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-# my_awesome_model
+# Domain classification model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the Opus dataset with IT, medical, law domain.They are extracted from OPUS dataset in english.
 It achieves the following results on the evaluation set:
 - Loss: 0.1140
 - Accuracy: 0.9750
 
 ## Model description
 
-More information needed
+The model will classify sentence which belongs to its domain.
 
 ## Intended uses & limitations