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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: 0.0441 |
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- Rouge1: 83.8906 |
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- Rouge2: 76.8215 |
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- Rougel: 83.4733 |
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- Rougelsum: 83.4783 |
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- Gen Len: 14.9751 |
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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 | 0.0572 | 80.5125 | 71.817 | 80.0125 | 79.9934 | 14.9828 | |
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| 0.0424 | 2.0 | 1250 | 0.0447 | 81.8041 | 73.7589 | 81.3035 | 81.2949 | 14.8986 | |
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| 0.0253 | 3.0 | 1875 | 0.0449 | 82.4467 | 74.7259 | 81.9169 | 81.906 | 15.0067 | |
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| 0.0167 | 4.0 | 2500 | 0.0427 | 83.3339 | 76.0786 | 82.8455 | 82.8229 | 15.0010 | |
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| 0.0116 | 5.0 | 3125 | 0.0444 | 83.4771 | 76.234 | 83.0177 | 83.008 | 15.0144 | |
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| 0.0082 | 6.0 | 3750 | 0.0438 | 83.6459 | 76.467 | 83.2461 | 83.2372 | 14.9933 | |
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| 0.0061 | 7.0 | 4375 | 0.0440 | 83.699 | 76.5119 | 83.3283 | 83.3175 | 14.9684 | |
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| 0.0047 | 8.0 | 5000 | 0.0447 | 83.7618 | 76.6774 | 83.346 | 83.3564 | 14.9349 | |
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| 0.0038 | 9.0 | 5625 | 0.0436 | 83.9239 | 76.845 | 83.4885 | 83.5062 | 14.9732 | |
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| 0.0032 | 10.0 | 6250 | 0.0441 | 83.8906 | 76.8215 | 83.4733 | 83.4783 | 14.9751 | |
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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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