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README.md
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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: 1.8974
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- Rouge1: 46.8897
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- Rouge2: 21.2655
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- Rougel: 33.489
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- Rougelsum: 33.5578
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- Gen Len: 18.9871
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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 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 2.408 | 1.0 | 737 | 1.9329 | 46.6812 | 20.8232 | 33.1637 | 33.2377 | 18.9608 |
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| 2.0444 | 2.0 | 1475 | 1.8841 | 46.7693 | 21.3121 | 33.37 | 33.4394 | 18.9623 |
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| 1.7589 | 3.0 | 2212 | 1.8840 | 46.6303 | 21.0522 | 33.2678 | 33.3244 | 18.9777 |
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| 1.6919 | 4.0 | 2950 | 1.8864 | 46.7928 | 21.395 | 33.3749 | 33.4439 | 18.9911 |
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| 1.5844 | 5.0 | 3685 | 1.8974 | 46.8897 | 21.2655 | 33.489 | 33.5578 | 18.9871 |
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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 2.19.2
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- Tokenizers 0.13.3
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