autoevaluator HF Staff
Add evaluation results on the autoevaluate--squad-sample config and test split of autoevaluate/squad-sample
275a445 | 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: 1.203058123588562 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODcxZDRiNDcxNjY1MDhmZmZiMDY1NTQyOGFlMmY1NjA2ZDc0NzhlMzNhNjA5YzUyOWFhMTM1ZTM5ZjhiYjJhZCIsInZlcnNpb24iOjF9.mnJ3PJgb_sGpFEv8BYL9FAm7citwMfkCOL73aoEQxr8pQYLcdGllnq98F8fKfkfp9Z05H0xVxTdKlMGYO7XXCA | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |