Update README.md

README.md

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 # clip-fine-tuned-satellite
 
-This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the blanchon/UC_Merced dataset..
-It achieves the following results on the test set:
--Accuracy: 96.9% 
+This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the blanchon/UC_Merced dataset.\
+It achieves the following results on the test set:\
+-Accuracy: 96.9% \
 The original CLIP model achieves 58.8% of accuracy.
 
 ## Model description
 
-The model is a fine-tuned version of CLIP.
+The model is a fine-tuned version of CLIP.\
 30% of the parameters were retrained to achieve a significant increase in accuracy after only 2 epochs.
 
 ## Intended uses & limitations
 
-The model is to be used to classify satellite images.
+The model is to be used to classify satellite images.\
 It was trained on the UC_Merced dataset that comprises 21 classes: agricultural, airplane, baseballdiamond, beach, buildings, chaparral, denseresidential, forest, freeway, golfcourse, harbor, intersection, mediumresidential, mobilehomepark, overpass, parkinglot, river, runway, sparseresidential, storagetanks, tenniscourt
 
 ## Training and evaluation data
 
-30% of the parameters trained.
+30% of the parameters trained.\
 Evaluated against a test set of 420 images.
 
 ## Training procedure