README..md

README.md

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+# DistilBERT--SQuAD-v1
+
+Training is done on the [SQuAD](https://huggingface.co/datasets/squad) dataset. The model can be accessed via [HuggingFace](https://huggingface.co/abhilash1910/distilbert-squadv1):
+
+
+## Model Specifications
+
+We have used the following parameters:
+
+- Training Batch Size : 512
+- Learning Rate : 3e-5
+- Training Epochs : 0.75
+- Sequence Length : 384
+- Stride : 128
+
+
+## Usage Specifications
+
+
+```python
+
+from transformers import AutoModelForQuestionAnswering,AutoTokenizer,pipeline
+model=AutoModelForQuestionAnswering.from_pretrained('abhilash1910/distilbert-squadv1')
+tokenizer=AutoTokenizer.from_pretrained('abhilash1910/distilbert-squadv1')
+nlp_QA=pipeline('question-answering',model=model,tokenizer=tokenizer)
+QA_inp={
+    'question': 'What is the fund price of Huggingface in NYSE?',
+    'context': 'Huggingface Co. has a total fund price of $19.6 million dollars'
+}
+result=nlp_QA(QA_inp)
+result
+```
+
+The result is:
+
+```bash
+
+{'score': 0.38547369837760925,
+ 'start': 42,
+ 'end': 55,
+ 'answer': '$19.6 million'}
+ ```
+
+