SpanBERT Fine-Tuned on SQuAD v1.1
This model is a fine-tuned SpanBERT base for extractive question answering on the SQuAD v1.1 dataset.
It was trained using the Hugging Face Trainer API with the following key hyperparameters:
- Learning rate:
3e-5 - Batch size:
8 - Warmup ratio:
0.1 - Weight decay:
0.01 - Epochs:
2
Evaluation Results (SQuAD v1.1 Dev)
Using v1.1 dev dataset with official evaluation script, this is not uploaded to test on hidden testset.
| Metric | Score |
|---|---|
| Exact Match (EM) | 83.47 |
| F1 Score | 90.70 |
| Total Samples | 10,570 |
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Model tree for justinlengch/spanbert-squad1-finetuned
Base model
SpanBERT/spanbert-base-cased