results
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
cahya/bert2bert-indonesian-summarization