Update README.md

README.md

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 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the food domain data [Recipe1M+ dataset](http://pic2recipe.csail.mit.edu/).
 Recipe1M+ contains over 1M records of distinct food names with their ingredients and recipes, more details about the dataset can be found on their [project website](http://pic2recipe.csail.mit.edu/).
-We used the whole Recipe1M+ dataset with a total of 1,029,720 records, with using 10% of the dataset as a test dataset. Each of the records contains each of the food name, followed by its ingredients and recipes.
+We used the whole Recipe1M+ dataset with a total of 1,029,720 records, with using 10% of the dataset as a evaluation dataset. Each of the records contains each of the food name, followed by its ingredients and recipes.
 
 It achieves the following results on the evaluation set:
 - Loss: 0.6230
 
 ## Usage
 
-You can use this model to get embeddings/representations for your food-related dataset that you will use if for your downstream tasks.
+You can use this model to get embeddings/representations for your food-related dataset that you will use for your downstream tasks.
 
 ```python
 from transformers import pipeline