| license: apache-2.0 | |
| datasets: | |
| - rajpurkar/squad | |
| - UCLNLP/adversarial_qa | |
| language: | |
| - en | |
| metrics: | |
| - exact_match | |
| - f1 | |
| base_model: | |
| - albert/albert-base-v2 | |
| pipeline_tag: question-answering | |
| # albert-base-v2-squad | |
| This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the SQuAD 1.1 and adversarial_qa datasets. | |
| It achieves the following results on the SQuAD 1.1 evaluation set: | |
| - Exact Match(EM): 84.68 | |
| - F1: 91.40 |