| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| model_index: | |
| - name: distilbert-base-uncased-finetuned-squad | |
| results: | |
| - task: | |
| name: Question Answering | |
| type: question-answering | |
| dataset: | |
| name: squad | |
| type: squad | |
| args: plain_text | |
| model-index: | |
| - name: MYX4567/distilbert-base-uncased-finetuned-squad | |
| results: | |
| - task: | |
| type: question-answering | |
| name: Question Answering | |
| dataset: | |
| name: squad_v2 | |
| type: squad_v2 | |
| config: squad_v2 | |
| split: validation | |
| metrics: | |
| - name: Exact Match | |
| type: exact_match | |
| value: 38.212 | |
| verified: true | |
| - name: F1 | |
| type: f1 | |
| value: 42.5859 | |
| verified: true | |
| <!-- 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. --> | |
| # distilbert-base-uncased-finetuned-squad | |
| 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: | |
| - Loss: 1.1520 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 1.2177 | 1.0 | 5533 | 1.1565 | | |
| | 0.9472 | 2.0 | 11066 | 1.1174 | | |
| | 0.7634 | 3.0 | 16599 | 1.1520 | | |
| ### Framework versions | |
| - Transformers 4.9.1 | |
| - Pytorch 1.9.0+cu102 | |
| - Datasets 1.10.2 | |
| - Tokenizers 0.10.3 | |