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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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: t5-vietnamese-summarization |
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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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# t5-vietnamese-summarization |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.7088 |
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- Rouge1: 0.3594 |
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- Rouge2: 0.1038 |
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- Rougel: 0.2326 |
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- Rougelsum: 0.2333 |
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- Gen Len: 17.614 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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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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| No log | 1.0 | 282 | 6.8323 | 0.23 | 0.0659 | 0.1532 | 0.1533 | 17.146 | |
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| 7.1083 | 2.0 | 564 | 6.7612 | 0.3211 | 0.0944 | 0.2101 | 0.2103 | 16.972 | |
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| 7.1083 | 3.0 | 846 | 6.7147 | 0.3473 | 0.1015 | 0.2266 | 0.2272 | 17.276 | |
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| 6.9522 | 4.0 | 1128 | 6.7088 | 0.3594 | 0.1038 | 0.2326 | 0.2333 | 17.614 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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