Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-superqa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-superqa2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/rob-base-superqa2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa2") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa2") - Notebooks
- Google Colab
- Kaggle
File size: 519 Bytes
a97da1f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"epoch": 2.0,
"eval_HasAns_exact": 69.19611355371003,
"eval_HasAns_f1": 75.75383941256567,
"eval_HasAns_total": 18423,
"eval_NoAns_exact": 77.6109552879063,
"eval_NoAns_f1": 77.6109552879063,
"eval_NoAns_total": 6061,
"eval_best_exact": 71.27920274464957,
"eval_best_exact_thresh": 0.0,
"eval_best_f1": 76.21356737043324,
"eval_best_f1_thresh": 0.0,
"eval_exact": 71.27920274464957,
"eval_f1": 76.21356737043327,
"eval_samples": 44895,
"eval_total": 24484
} |