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--- |
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base_model: vinai/bartpho-syllable-base |
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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: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k |
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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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# bartpho-syllable-base-ceg-pair-lexnorm-wiki20k |
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This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0408 |
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- Rouge1: 84.3157 |
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- Rouge2: 77.3019 |
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- Rougel: 83.8705 |
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- Rougelsum: 83.8558 |
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- Gen Len: 15.0248 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.1329 | 1.0 | 625 | 0.0553 | 80.5353 | 71.5638 | 80.1035 | 80.1039 | 15.0790 | |
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| 0.0424 | 2.0 | 1250 | 0.0423 | 82.2298 | 74.0725 | 81.7495 | 81.7617 | 14.9752 | |
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| 0.0253 | 3.0 | 1875 | 0.0423 | 82.9736 | 75.0608 | 82.4352 | 82.4329 | 15.0762 | |
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| 0.0167 | 4.0 | 2500 | 0.0396 | 83.3918 | 75.9135 | 82.8826 | 82.8858 | 15.0610 | |
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| 0.0116 | 5.0 | 3125 | 0.0415 | 83.4002 | 76.079 | 82.8948 | 82.9143 | 15.0714 | |
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| 0.0082 | 6.0 | 3750 | 0.0403 | 83.7144 | 76.3254 | 83.2485 | 83.2335 | 15.0238 | |
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| 0.0061 | 7.0 | 4375 | 0.0408 | 83.6799 | 76.3557 | 83.2511 | 83.265 | 15.0324 | |
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| 0.0047 | 8.0 | 5000 | 0.0415 | 84.1614 | 77.0332 | 83.6674 | 83.6623 | 15.0124 | |
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| 0.0038 | 9.0 | 5625 | 0.0404 | 84.2497 | 77.2485 | 83.7718 | 83.7791 | 15.0352 | |
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| 0.0032 | 10.0 | 6250 | 0.0408 | 84.3157 | 77.3019 | 83.8705 | 83.8558 | 15.0248 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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