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  ---
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- objective:
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- This is Roberta Base with Domain Adaptive Pretraining on Movie Corpora --> Then trained for the NER task using MIT Movie Dataset --> Then a changed head to do the SQuAD Task. This makes a QA model capable of answering questions in the movie domain, with additional information coming from a different task (NER - Task Transfer).
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- https://huggingface.co/thatdramebaazguy/movie-roberta-base was used as the MovieRoberta.
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-
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  datasets:
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  - imdb (Movie corpus for Domain Adaptive Pretraining)
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  - cornell_movie_dialogue
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  ---
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  # roberta-base for QA
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  ```
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  model_name = "thatdramebaazguy/movie-roberta-MITmovie-squad"
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  pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
 
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  ---
 
 
 
 
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  datasets:
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  - imdb (Movie corpus for Domain Adaptive Pretraining)
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  - cornell_movie_dialogue
 
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  ---
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  # roberta-base for QA
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+ objective:
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+ This is Roberta Base with Domain Adaptive Pretraining on Movie Corpora --> Then trained for the NER task using MIT Movie Dataset --> Then a changed head to do the SQuAD Task. This makes a QA model capable of answering questions in the movie domain, with additional information coming from a different task (NER - Task Transfer).
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+ https://huggingface.co/thatdramebaazguy/movie-roberta-base was used as the MovieRoberta.
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+
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  ```
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  model_name = "thatdramebaazguy/movie-roberta-MITmovie-squad"
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  pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")