| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| base_model: bert-base-uncased | |
| model-index: | |
| - name: bert-base-uncased-squad-v1 | |
| results: [] | |
| <!-- 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. --> | |
| # bert-base-uncased-squad-v1 | |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset. | |
| It was finetuned following the [Transformers Question Answering example](https://github.com/huggingface/transformers/tree/main/examples/pytorch/question-answering#fine-tuning-bert-on-squad10): | |
| ``` | |
| python run_qa.py \ | |
| --model_name_or_path bert-base-uncased \ | |
| --dataset_name squad \ | |
| --do_train \ | |
| --do_eval \ | |
| --per_device_train_batch_size 12 \ | |
| --learning_rate 3e-5 \ | |
| --num_train_epochs 2 \ | |
| --max_seq_length 384 \ | |
| --doc_stride 128 \ | |
| ``` | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 3e-05 | |
| - train_batch_size: 12 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2.0 | |
| ### Training results | |
| ``` | |
| ***** eval metrics ***** | |
| epoch = 2.0 | |
| eval_exact_match = 81.3434 | |
| eval_f1 = 88.7002 | |
| eval_samples = 10784 | |
| ``` | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |