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--- |
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base_model: KingLTD/pretrain_Law_model_bartpho_version1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: pretrain_Law_model_bartpho_version2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# pretrain_Law_model_bartpho_version2 |
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This model is a fine-tuned version of [KingLTD/pretrain_Law_model_bartpho_version1](https://huggingface.co/KingLTD/pretrain_Law_model_bartpho_version1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1794 |
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- Rouge1: 0.4739 |
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- Rouge2: 0.3818 |
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- Rougel: 0.4294 |
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- Rougelsum: 0.4408 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 245 | 0.1490 | 0.4706 | 0.3710 | 0.4217 | 0.4344 | |
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| No log | 2.0 | 490 | 0.1537 | 0.4694 | 0.3706 | 0.4215 | 0.4338 | |
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| 0.1737 | 3.0 | 735 | 0.1585 | 0.4705 | 0.3757 | 0.4244 | 0.4366 | |
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| 0.1737 | 4.0 | 980 | 0.1606 | 0.4694 | 0.3701 | 0.4221 | 0.4349 | |
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| 0.122 | 5.0 | 1225 | 0.1665 | 0.4702 | 0.3746 | 0.4237 | 0.4357 | |
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| 0.122 | 6.0 | 1470 | 0.1685 | 0.4726 | 0.3772 | 0.4259 | 0.4363 | |
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| 0.089 | 7.0 | 1715 | 0.1744 | 0.4747 | 0.3795 | 0.4291 | 0.4409 | |
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| 0.089 | 8.0 | 1960 | 0.1753 | 0.4742 | 0.3823 | 0.4296 | 0.4410 | |
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| 0.0698 | 9.0 | 2205 | 0.1791 | 0.4759 | 0.3838 | 0.4303 | 0.4417 | |
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| 0.0698 | 10.0 | 2450 | 0.1794 | 0.4739 | 0.3818 | 0.4294 | 0.4408 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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