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pretrain_Law_model_bartpho_version2
KingLTD/pretrain_Law_model_bartpho_version2
pretrain_Law_model_bartpho_version2 is a machine learning model from KingLTD. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Sep 4, 2023
- Updated
- Sep 4, 2023
- SHA
- 38b4eb8f
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
pretrain_Law_model_bartpho_version2
This model is a fine-tuned version of KingLTD/pretrain_Law_model_bartpho_version1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1794
- Rouge1: 0.4739
- Rouge2: 0.3818
- Rougel: 0.4294
- Rougelsum: 0.4408
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 | 0.1490 | 0.4706 | 0.3710 | 0.4217 | 0.4344 |
| No log | 2.0 | 490 | 0.1537 | 0.4694 | 0.3706 | 0.4215 | 0.4338 |
| 0.1737 | 3.0 | 735 | 0.1585 | 0.4705 | 0.3757 | 0.4244 | 0.4366 |
| 0.1737 | 4.0 | 980 | 0.1606 | 0.4694 | 0.3701 | 0.4221 | 0.4349 |
| 0.122 | 5.0 | 1225 | 0.1665 | 0.4702 | 0.3746 | 0.4237 | 0.4357 |
| 0.122 | 6.0 | 1470 | 0.1685 | 0.4726 | 0.3772 | 0.4259 | 0.4363 |
| 0.089 | 7.0 | 1715 | 0.1744 | 0.4747 | 0.3795 | 0.4291 | 0.4409 |
| 0.089 | 8.0 | 1960 | 0.1753 | 0.4742 | 0.3823 | 0.4296 | 0.4410 |
| 0.0698 | 9.0 | 2205 | 0.1791 | 0.4759 | 0.3838 | 0.4303 | 0.4417 |
| 0.0698 | 10.0 | 2450 | 0.1794 | 0.4739 | 0.3818 | 0.4294 | 0.4408 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mbart
- Created
- Sep 4, 2023
- Updated
- Sep 4, 2023