Update README.md

README.md

@@ -32,13 +32,14 @@ alt="drawing" width="600"/>
 7. [Environmental Impact](#environmental-impact)
 8. [Citation](#citation)
 9. [Model Card Authors](#model-card-authors)
+# my fine tuned model
+>This model is fine tuned to generate a question with answers from a context , why is can be very usful this can help you to generate a dataset from a book article any thing you would to make from it dataset and train another model on this dataset 
 
 # TL;DR
 
 If you already know T5, FLAN-T5 is just better at everything. For the same number of parameters, these models have been fine-tuned on more than 1000 additional tasks covering also more languages. 
 As mentioned in the first few lines of the abstract : 
 >  Flan-PaLM 540B achieves state-of-the-art performance on several benchmarks, such as 75.2% on five-shot MMLU. We also publicly release Flan-T5 checkpoints,1 which achieve strong few-shot performance even compared to much larger models, such as PaLM 62B. Overall, instruction finetuning is a general method for improving the performance and usability of pretrained language models.
->This model is fine tuned to generate a question with answers from a context , why is can be very usful this can help you to generate a dataset from a book article any thing you would to make from it dataset and train another model on this dataset 
 # Model Details
 
 ## Model Description