Create README.md

README.md

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+---
+datasets:
+- imdb
+- cornell_movie_dialogue 
+
+language: 
+- English
+
+thumbnail: 
+
+tags:
+- roberta
+- roberta-base
+- masked-language-modeling 
+- masked-lm
+
+license: cc-by-4.0
+
+---
+# roberta-base for MLM 
+
+```
+model_name = "thatdramebaazguy/movie-roberta-base"
+pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="Fill-Mask")
+```
+## Overview
+**Language model:** roberta-base  
+**Language:** English  
+**Downstream-task:** Fill-Mask  
+**Training data:** imdb, polarity movie data, cornell_movie_dialogue, 25mlens movie names  
+**Eval data:** imdb, polarity movie data, cornell_movie_dialogue, 25mlens movie names    
+**Infrastructure**: 4x Tesla v100   
+**Code:**  See [example](https://github.com/adityaarunsinghal/Domain-Adaptation/blob/master/scripts/shell_scripts/train_movie_roberta.sh)    
+
+## Hyperparameters
+```
+Num examples = 4767233
+Num Epochs = 2
+Instantaneous batch size per device = 20
+Total train batch size (w. parallel, distributed & accumulation) = 80
+Gradient Accumulation steps = 1
+Total optimization steps = 119182
+eval_loss  = 1.6153
+eval_samples = 20573
+perplexity = 5.0296
+learning_rate=5e-05
+n_gpu = 4
+
+``` 
+## Performance
+
+perplexity = 5.0296
+
+Some of my work: 
+- [Domain-Adaptation Project](https://github.com/adityaarunsinghal/Domain-Adaptation/)
+
+---