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README.md

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 # bert-base-uncased-finetuned-recipe1m-ALL
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the food-related data Recipe1M+ dataset.
-Recipe1M+ contains 1M records of food names with their ingredients and recipes. This version of the fine-tuned model used the whole dataset with a total of 1,029,720 records, with 10% being the test dataset.
+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.
 
 It achieves the following results on the evaluation set:
 - Loss: 0.6230