| --- |
| license: cc-by-4.0 |
| base_model: deepset/minilm-uncased-squad2 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - squad_kor_v1 |
| model-index: |
| - name: 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. --> |
|
|
| # qa_model |
| |
| This model is a fine-tuned version of [deepset/minilm-uncased-squad2](https://huggingface.co/deepset/minilm-uncased-squad2) on the squad_kor_v1 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.2803 |
| |
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 4.4482 | 1.0 | 25 | 3.8476 | |
| | 4.1886 | 2.0 | 50 | 3.3495 | |
| | 2.8781 | 3.0 | 75 | 3.2032 | |
| | 3.5417 | 4.0 | 100 | 3.3601 | |
| | 2.1682 | 5.0 | 125 | 3.2218 | |
| | 3.1787 | 6.0 | 150 | 3.3264 | |
| | 2.814 | 7.0 | 175 | 3.3053 | |
| | 2.7755 | 8.0 | 200 | 3.2801 | |
| | 1.9859 | 9.0 | 225 | 3.4267 | |
| | 2.1119 | 10.0 | 250 | 3.2803 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.32.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
| |
