| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - custom_squad_v2 | |
| model-index: | |
| - name: kobigbird-base43-52774701 | |
| 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. --> | |
| # kobigbird-base43-52774701 | |
| This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the custom_squad_v2 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3126 | |
| ## 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: 0.0005 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 43 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 256 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 2 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 0.99 | 42 | 1.3113 | | |
| | No log | 1.99 | 84 | 1.3126 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |