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--- |
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license: mit |
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base_model: PhucMap/BARTphoVi-VSL |
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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: mBART-vi-news-summarization |
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results: [] |
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datasets: |
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- vietgpt/news_summarization_vi |
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language: |
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- vi |
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pipeline_tag: summarization |
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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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# mBART-vi-news-summarization |
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This model is a fine-tuned version of [PhucMap/BARTphoVi-VSL](https://huggingface.co/PhucMap/BARTphoVi-VSL) on vietgpt/news_summarization_vi. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8166 |
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- Rouge1: 70.8598 |
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- Rouge2: 51.2255 |
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- Rougel: 51.8606 |
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- Rougelsum: 65.5856 |
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- Gen Len: 152.869 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
