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squad-roberta-large
hosseinfarahi/squad-roberta-large
squad-roberta-large is a question answering model from hosseinfarahi. Use it when the input is a question plus a passage. The card lists the license as apache-2.0.
This is a RoBERTa-large model fine-tuned on a combined dataset of SQuAD 1.1 and SQuAD 2.0. It achieves the following performance metrics: - Exact Match (EM): 0.7003 - F1-score: 0.8368
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At a glance
- Task
- Question Answering
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- May 13, 2025
- Updated
- May 13, 2025
- SHA
- 2fe455ff
Try a prompt
Model card
From the Hugging Face model README
RoBERTa-large Model for SQuAD
This is a RoBERTa-large model fine-tuned on a combined dataset of SQuAD 1.1 and SQuAD 2.0. It achieves the following performance metrics:
- Exact Match (EM): 0.7003
- F1-score: 0.8368
The model was trained for 24 epochs using the following settings:
- Batch size: 2
- Learning rate: 3e-6
- Gradient accumulation steps: 4
Usage
You can load this model using the HuggingFace Transformers library:
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
model_name = "hosseinfarahi/squad-roberta-large"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
- Task
- Question Answering
- Type
- roberta
- License
- apache-2.0
- Created
- May 13, 2025
- Updated
- May 13, 2025