| --- |
| license: apache-2.0 |
| base_model: cahya/bert2bert-indonesian-summarization |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [cahya/bert2bert-indonesian-summarization](https://huggingface.co/cahya/bert2bert-indonesian-summarization) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5550 |
|
|
| ## 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: 15 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 5 | 1.3144 | |
| | No log | 2.0 | 10 | 0.9515 | |
| | No log | 3.0 | 15 | 0.6830 | |
| | No log | 4.0 | 20 | 0.5632 | |
| | No log | 5.0 | 25 | 0.5328 | |
| | No log | 6.0 | 30 | 0.5182 | |
| | No log | 7.0 | 35 | 0.5330 | |
| | No log | 8.0 | 40 | 0.5365 | |
| | No log | 9.0 | 45 | 0.5613 | |
| | No log | 10.0 | 50 | 0.5588 | |
| | No log | 11.0 | 55 | 0.5654 | |
| | No log | 12.0 | 60 | 0.5587 | |
| | No log | 13.0 | 65 | 0.5568 | |
| | No log | 14.0 | 70 | 0.5563 | |
| | No log | 15.0 | 75 | 0.5550 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
