Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use mrp/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrp/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrp/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrp/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("mrp/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the plain_text config of squad
#2
by autoevaluator HF Staff - opened
README.md
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type: loss
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value: 1.073493242263794
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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type: loss
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value: 1.073493242263794
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verified: true
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- name: Exact Match
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type: exact_match
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value: 80.0853
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verified: true
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- name: F1
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type: f1
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value: 87.606
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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