Update README.md

README.md

@@ -2,31 +2,26 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+- instruction fine-tuning
 model-index:
 - name: flan-t5-small-distil-v2
   results: []
 language:
 - en
+pipeline_tag: text2text-generation
 ---
 
 <!-- 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. -->
 
-# flan-t5-small-distil-v2
+# LaMini-FLAN-T5-Small
 
-This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on [LaMini dataset]() that contains 2.58M samples for instruction fine-tuning. For more information about our dataset, please refer to our [project repository]().  
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
+We initialize with [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) and fine-tune it on our [LaMini dataset](). Its total number of parameters is 61M. 
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
@@ -43,6 +38,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+## Training and evaluation data
+We conducted two sets of evaluations: automatic evaluation on downstream NLP tasks and human evaluation on user-oriented instructions. For more detail, please refer to our [paper](). 
+
+
 ## Use
 
 ### CPU
@@ -87,7 +86,9 @@ print("Response": generated_text)
 
 </details>
 
+## Intended uses & limitations
 
+More information needed
 
 
 ### Framework versions