| license: cc-by-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - subjqa | |
| model-index: | |
| - name: chtn_bert_qa_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. --> | |
| # chtn_bert_qa_model | |
| This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co./deepset/bert-base-cased-squad2) on the subjqa dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.2773 | |
| ## 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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 32 | 2.8350 | | |
| | No log | 2.0 | 64 | 2.8860 | | |
| | No log | 3.0 | 96 | 3.1081 | | |
| | No log | 4.0 | 128 | 3.2405 | | |
| | No log | 5.0 | 160 | 3.2773 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |