Instructions to use zelcakok/bert-base-squad2-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zelcakok/bert-base-squad2-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="zelcakok/bert-base-squad2-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("zelcakok/bert-base-squad2-uncased") model = AutoModelForQuestionAnswering.from_pretrained("zelcakok/bert-base-squad2-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - squad_v2 | |
| language: | |
| - en | |
| tags: | |
| - Bert | |
| - SQuAD2.0 | |
| - SQuAD | |
| pipeline_tag: question-answering | |
| # Extract QA Model (SQuAD2.0) | |
| ## Model Information | |
| Pretrained model: google/bert_uncased_L-12_H-768_A-12 | |
| ## Training Hyperparameters | |
| ```Python | |
| epochs = 2 | |
| batch_size = 24 | |
| learning_rate = 3e-5 | |
| max_seq_length = 384 | |
| doc_stride = 128 | |
| max_query_length = 256 | |
| ``` | |
| ## Latest Result | |
| ```json | |
| // 24 Mar 2023, 19:57 | |
| { | |
| "exact": 74.12616861787248, | |
| "f1": 77.34212395572948, | |
| "total": 11873, | |
| "HasAns_exact": 72.72267206477733, | |
| "HasAns_f1": 79.16380528447645, | |
| "HasAns_total": 5928, | |
| "NoAns_exact": 75.52565180824222, | |
| "NoAns_f1": 75.52565180824222, | |
| "NoAns_total": 5945, | |
| "best_exact": 74.12616861787248, | |
| "best_exact_thresh": 0.0, | |
| "best_f1": 77.34212395572948, | |
| "best_f1_thresh": 0.0 | |
| } | |
| ``` | |
| ```json | |
| // 23 Mar 2023 | |
| { | |
| "exact": 73.77242482944496, | |
| "f1": 76.83752039897598, | |
| "total": 11873, | |
| "HasAns_exact": 71.72739541160594, | |
| "HasAns_f1": 77.86637646711235, | |
| "HasAns_total": 5928, | |
| "NoAns_exact": 75.81160639192599, | |
| "NoAns_f1": 75.81160639192599, | |
| "NoAns_total": 5945, | |
| "best_exact": 73.77242482944496, | |
| "best_exact_thresh": 0.0, | |
| "best_f1": 76.83752039897604, | |
| "best_f1_thresh": 0.0 | |
| } | |
| ``` |