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pretrain_Law_model_bartpho_version1
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2879
- Rouge1: 0.4482
- Rouge2: 0.3252
- Rougel: 0.3897
- Rougelsum: 0.4055
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: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 245 | 0.3270 | 0.4333 | 0.2996 | 0.3650 | 0.3815 |
| No log | 2.0 | 490 | 0.3024 | 0.4400 | 0.3072 | 0.3731 | 0.3938 |
| 0.6695 | 3.0 | 735 | 0.2883 | 0.4411 | 0.3186 | 0.3829 | 0.3996 |
| 0.6695 | 4.0 | 980 | 0.2820 | 0.4484 | 0.3255 | 0.3883 | 0.4046 |
| 0.2387 | 5.0 | 1225 | 0.2822 | 0.4500 | 0.3221 | 0.3876 | 0.4050 |
| 0.2387 | 6.0 | 1470 | 0.2806 | 0.4483 | 0.3224 | 0.3875 | 0.4049 |
| 0.1843 | 7.0 | 1715 | 0.2852 | 0.4471 | 0.3235 | 0.3870 | 0.4037 |
| 0.1843 | 8.0 | 1960 | 0.2844 | 0.4466 | 0.3216 | 0.3850 | 0.4020 |
| 0.1515 | 9.0 | 2205 | 0.2866 | 0.4504 | 0.3265 | 0.3900 | 0.4066 |
| 0.1515 | 10.0 | 2450 | 0.2879 | 0.4482 | 0.3252 | 0.3897 | 0.4055 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
