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pretrain_Law_model_bartpho_version3
This model is a fine-tuned version of KingLTD/pretrain_Law_model_bartpho_version2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1145
- Rouge1: 0.4814
- Rouge2: 0.3997
- Rougel: 0.4430
- Rougelsum: 0.4527
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 | 0.0961 | 0.4759 | 0.3999 | 0.4423 | 0.4503 |
| No log | 2.0 | 490 | 0.1000 | 0.4820 | 0.4017 | 0.4425 | 0.4522 |
| 0.0968 | 3.0 | 735 | 0.1065 | 0.4817 | 0.4014 | 0.4422 | 0.4527 |
| 0.0968 | 4.0 | 980 | 0.1072 | 0.4807 | 0.4016 | 0.4445 | 0.4542 |
| 0.0618 | 5.0 | 1225 | 0.1098 | 0.4808 | 0.3997 | 0.4435 | 0.4532 |
| 0.0618 | 6.0 | 1470 | 0.1110 | 0.4817 | 0.3990 | 0.4428 | 0.4526 |
| 0.0427 | 7.0 | 1715 | 0.1125 | 0.4796 | 0.3988 | 0.4423 | 0.4529 |
| 0.0427 | 8.0 | 1960 | 0.1136 | 0.4822 | 0.4032 | 0.4453 | 0.4539 |
| 0.0314 | 9.0 | 2205 | 0.1141 | 0.4814 | 0.3991 | 0.4430 | 0.4527 |
| 0.0314 | 10.0 | 2450 | 0.1145 | 0.4814 | 0.3997 | 0.4430 | 0.4527 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
