| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - cmrc2018 | |
| model-index: | |
| - name: my_awesome_qa_cmrc2018_model | |
| 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. --> | |
| # my_awesome_qa_cmrc2018_model | |
| This model is a fine-tuned version of [hfl/chinese-pert-base-mrc](https://huggingface.co/hfl/chinese-pert-base-mrc) on the cmrc2018 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5397 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.8593 | 1.0 | 634 | 1.2136 | | |
| | 0.6411 | 2.0 | 1268 | 1.3501 | | |
| | 0.4974 | 3.0 | 1902 | 1.5397 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.13.3 | |