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Update README.md

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@@ -39,7 +39,7 @@ For Question-Answering -
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  ```python
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  !pip install transformers
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  from transformers import pipeline
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- model_checkpoint = "IProject-10/bert-base-uncased-finetuned-squad2"
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  question_answerer = pipeline("question-answering", model=model_checkpoint)
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  context = """
@@ -59,19 +59,19 @@ Evaluation on SQuAD 2.0 validation dataset:
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  exact: 65.88056935904994,
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  f1: 68.9782873196397,
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  total': 11873,
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- HasAns_exact': 68.15114709851552,
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- HasAns_f1': 74.35546648888003,
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- HasAns_total': 5928,
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- NoAns_exact': 63.61648444070648,
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- NoAns_f1': 63.61648444070648,
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- NoAns_total': 5945,
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- best_exact': 65.88056935904994,
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- best_exact_thresh': 0.9993563294410706,
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- best_f1': 68.97828731963992,
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- best_f1_thresh': 0.9993563294410706,
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- total_time_in_seconds': 122.51037029999998,
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- samples_per_second': 96.91424465476456,
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- latency_in_seconds': 0.01031840059799545}
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  ```
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  ### Training hyperparameters
 
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  ```python
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  !pip install transformers
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  from transformers import pipeline
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+ model_checkpoint = "IProject-10/distilbert-base-uncased-finetuned-squad2"
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  question_answerer = pipeline("question-answering", model=model_checkpoint)
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  context = """
 
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  exact: 65.88056935904994,
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  f1: 68.9782873196397,
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  total': 11873,
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+ HasAns_exact: 68.15114709851552,
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+ HasAns_f1: 74.35546648888003,
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+ HasAns_total: 5928,
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+ NoAns_exact: 63.61648444070648,
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+ NoAns_f1: 63.61648444070648,
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+ NoAns_total: 5945,
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+ best_exact: 65.88056935904994,
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+ best_exact_thresh: 0.9993563294410706,
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+ best_f1: 68.97828731963992,
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+ best_f1_thresh: 0.9993563294410706,
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+ total_time_in_seconds: 122.51037029999998,
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+ samples_per_second: 96.91424465476456,
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+ latency_in_seconds: 0.01031840059799545}
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  ```
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  ### Training hyperparameters