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indobart-combined-jv-id
This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6285
- Bleu: 16.9732
- Gen Len: 19.4429
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: 64
- 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 94 | 0.8084 | 11.1865 | 19.5232 |
| No log | 2.0 | 188 | 0.7259 | 13.1223 | 19.478 |
| No log | 3.0 | 282 | 0.6905 | 14.6859 | 19.4366 |
| No log | 4.0 | 376 | 0.6682 | 15.2578 | 19.4216 |
| No log | 5.0 | 470 | 0.6536 | 15.9459 | 19.4366 |
| 0.8734 | 6.0 | 564 | 0.6439 | 16.3189 | 19.4115 |
| 0.8734 | 7.0 | 658 | 0.6367 | 16.7353 | 19.4228 |
| 0.8734 | 8.0 | 752 | 0.6327 | 16.9575 | 19.4529 |
| 0.8734 | 9.0 | 846 | 0.6300 | 17.093 | 19.4442 |
| 0.8734 | 10.0 | 940 | 0.6285 | 16.9732 | 19.4429 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
