| license: mit | |
| tags: | |
| - generated_from_trainer | |
| base_model: roberta-base | |
| model-index: | |
| - name: roberta-base-finetuned-squad-v1 | |
| results: | |
| - task: | |
| type: question-answering | |
| name: Question Answering | |
| dataset: | |
| name: SQUAD | |
| type: squad | |
| metrics: | |
| - type: f1 | |
| value: 92.296 | |
| - type: exact_match | |
| value: 86.045 | |
| <!-- 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. --> | |
| # roberta-base-finetuned-squad-v1 | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad dataset. | |
| ## Model description | |
| Given a context / content, the model answers to a question by searching the content and extracting the relavant information. | |
| ## Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ## Training results | |
| - training loss: 0.77257 | |
| ## Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 |