| license: mit | |
| base_model: gogamza/kobart-summarization | |
| tags: | |
| - kobart-summarization-diary | |
| - generated_from_trainer | |
| model-index: | |
| - name: summary | |
| 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. --> | |
| # summary | |
| This model is a fine-tuned version of [gogamza/kobart-summarization](https://huggingface.co/gogamza/kobart-summarization) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3757 | |
| ## 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: 5.6e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 300 | |
| - num_epochs: 50 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 1.4823 | 1.42 | 500 | 0.3805 | | |
| | 0.2472 | 2.85 | 1000 | 0.3757 | | |
| | 0.1306 | 4.27 | 1500 | 0.4135 | | |
| | 0.0718 | 5.7 | 2000 | 0.4368 | | |
| | 0.0421 | 7.12 | 2500 | 0.4518 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.1.2+cu118 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.0 | |