rajpurkar/squad
Viewer • Updated • 98.2k • 157k • 365
How to use Madhana/distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="Madhana/distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Madhana/distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2")
model = AutoModelForQuestionAnswering.from_pretrained("Madhana/distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2")This model is a fine-tuned version of Madhana/distilroberta-base-finetuned-wikitext2 on the squad dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0791 | 1.0 | 10950 | 1.0560 |
| 0.8658 | 2.0 | 21900 | 1.0120 |