datasets==2.16.1
evaluate==0.4.1
transformers[sentencepiece]==4.35.2
accelerate==0.26.1
# Use a pipeline as a high-level helper
from transformers import pipeline
PIPELINE_NAME = 'question-answering'
MODEL_NAME = 'winvswon78/distilbert-finetuned-squadv2'
pipe = pipeline(PIPELINE_NAME, model=MODEL_NAME)
#Example
INPUT_QUESTION = 'Where is the cat?'
INPUT_CONTEXT = 'The cat sits under the table, trying to catch a mouse.'
pipe(question=INPUT_QUESTION, context=INPUT_CONTEXT)
Metric | Score |
---|---|
Exact | 49.77 |
F1 | 53.75 |
Total | 11873 |
HasAns Exact | 75.52 |
HasAns F1 | 83.49 |
HasAns Total | 5928 |
NoAns Exact | 24.10 |
NoAns F1 | 24.10 |
NoAns Total | 5945 |
Best Exact | 65.27 |
Best Exact Thresh | -11.46 |
Best F1 | 67.29 |
Best F1 Thresh | -9.32 |