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README.md
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---
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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: phobert_shared-vietnews
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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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# phobert_shared-vietnews
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4872
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- Rouge1: 47.252
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- Rouge2: 12.3801
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- Rougel: 27.9535
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- Rougelsum: 31.1165
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- Gen Len: 25.3494
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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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: 3
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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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| 4.1717 | 1.0 | 619 | 3.7817 | 46.287 | 10.7692 | 27.3606 | 30.4956 | 25.2656 |
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| 3.6535 | 2.0 | 1239 | 3.5421 | 46.9278 | 11.7595 | 27.5206 | 30.7512 | 25.9089 |
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| 3.434 | 3.0 | 1857 | 3.4872 | 47.252 | 12.3801 | 27.9535 | 31.1165 | 25.3494 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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