--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad duplicated_from: autoevaluate/extractive-question-answering model-index: - name: autoevaluate/extractive-question-answering-not-evaluated results: - task: type: question-answering name: Question Answering dataset: name: autoevaluate/squad-sample type: autoevaluate/squad-sample config: autoevaluate--squad-sample split: test metrics: - type: f1 value: 76.9929 name: F1 verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY4NmY3MmUxMTI1YjYxOGQ4ZGJiNTExZWE2MGQ3NWY1MGNkMGZiNDA1M2FiNjM2ODBmMmM3NTM0MTIzYTE3OSIsInZlcnNpb24iOjF9.KCqAF5uiJ5MErIARbRt7ZQQZyMCxyQosMzoDk6Z-_-mLBJ3x8DTJYUKbSgd2QvA7tjnWhIq81ba4tJ0D5OvmBg - type: exact_match value: 70.0 name: Exact Match verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTRmNTIxNDFhYzBmNDdkOGJmNmQ2YTBjODMxZWZkYzA5Njg2MDVlZjFmZTllMDQ4MzExM2MzMjcwMTc3NmY1MyIsInZlcnNpb24iOjF9.WwsKGMpmxBLVfpwA9qH7f_uVIpECcmkxxUUutHjLnraxZiPG-B_Z7InQ0dWtrtseEIkcEx-Y3u3rnEtzYhNbBA - type: loss value: 1.1083998680114746 name: loss verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzUwZGFjMjlhNzMzZGZjZTU5ZDZiYjg0YThiZTA1MDgzOWUxZTQxYmUzNGE2YWYwYTI2YTM1ZDJiNDdmMTcxZCIsInZlcnNpb24iOjF9.udy8AXJOg0hBuhBahq4XcbShp78SDBJz5phkvi4q8EuHEXuBQ1qIxrQbNDpoV2CG8_MBG9EPPtF5d32WiOn2BA --- # extractive-question-answering This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset. It achieves the following results on the evaluation set: ``` {'exact_match': 72.95175023651845, 'f1': 81.85552166092225, 'latency_in_seconds': 0.008616470915042614, 'samples_per_second': 116.05679516125359, 'total_time_in_seconds': 91.07609757200044} ``` ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.263 | 1.0 | 5533 | 1.2169 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1