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--- |
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library_name: transformers |
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base_model: eenzeenee/t5-base-korean-summarization |
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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: news_summarization_model |
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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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# news_summarization_model |
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This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2221 |
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- Rouge1: 0.6031 |
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- Rouge2: 0.4193 |
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- Rougel: 0.5896 |
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- Rougelsum: 0.5892 |
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- Gen Len: 42.2714 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 400 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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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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| 0.523 | 0.4762 | 100 | 0.3847 | 0.4833 | 0.2872 | 0.4627 | 0.4654 | 41.7571 | |
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| 0.3377 | 0.9524 | 200 | 0.2590 | 0.5709 | 0.3929 | 0.5581 | 0.5564 | 41.7810 | |
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| 0.2641 | 1.4286 | 300 | 0.2334 | 0.5889 | 0.4018 | 0.5785 | 0.5781 | 42.5048 | |
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| 0.2361 | 1.9048 | 400 | 0.2221 | 0.6031 | 0.4193 | 0.5896 | 0.5892 | 42.2714 | |
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### Framework versions |
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- Transformers 4.55.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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