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update model card README.md
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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: 1.4435
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- Rouge1: 52.8288
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- Rouge2: 37.7126
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- Rougel: 45.2296
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- Rougelsum: 48.414
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- Gen Len: 18.7023
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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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| No log | 1.0 | 399 | 1.6304 | 50.9347 | 33.9037 | 42.6387 | 45.4807 | 18.708 |
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| 2.0723 | 2.0 | 799 | 1.5192 | 51.7414 | 35.6234 | 43.7745 | 46.7714 | 18.7089 |
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| 1.5776 | 3.0 | 1198 | 1.4674 | 52.602 | 36.9274 | 44.6899 | 47.8724 | 18.7108 |
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| 1.3842 | 4.0 | 1598 | 1.4452 | 52.6654 | 37.2948 | 44.8855 | 48.1186 | 18.7056 |
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| 1.3842 | 4.99 | 1995 | 1.4435 | 52.8288 | 37.7126 | 45.2296 | 48.414 | 18.7023 |
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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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