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--- |
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license: mit |
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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: vit5-base-vietnews-summarization-finetuned-VN |
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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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# vit5-base-vietnews-summarization-finetuned-VN |
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This model is a fine-tuned version of [VietAI/vit5-base-vietnews-summarization](https://huggingface.co/VietAI/vit5-base-vietnews-summarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2948 |
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- Rouge1: 44.6968 |
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- Gen Len: 18.9868 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 266 | 2.3453 | 44.2183 | 18.9519 | |
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| 2.5909 | 2.0 | 533 | 2.2875 | 44.4436 | 18.9700 | |
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| 2.5909 | 3.0 | 799 | 2.2792 | 44.4199 | 18.9791 | |
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| 1.9843 | 4.0 | 1066 | 2.2806 | 44.6514 | 18.9833 | |
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| 1.9843 | 4.99 | 1330 | 2.2948 | 44.6968 | 18.9868 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.3 |
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