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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: bartpho-word-base |
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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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# bartpho-word-base |
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This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1067 |
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- Rouge1: 49.261 |
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- Rouge2: 22.7386 |
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- Rougel: 33.4517 |
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- Rougelsum: 35.6277 |
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- Gen Len: 19.8061 |
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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: 8 |
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- total_train_batch_size: 32 |
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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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| 2.7155 | 1.0 | 309 | 2.1805 | 48.1588 | 21.5414 | 32.4169 | 34.6188 | 19.7453 | |
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| 2.2951 | 2.0 | 619 | 2.1331 | 48.5623 | 21.8348 | 32.7922 | 34.9789 | 19.7525 | |
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| 2.1676 | 3.0 | 929 | 2.1193 | 49.2433 | 22.8931 | 33.4674 | 35.738 | 19.7881 | |
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| 2.057 | 4.0 | 1239 | 2.1210 | 49.2825 | 22.7084 | 33.4667 | 35.5888 | 19.7759 | |
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| 2.0153 | 4.99 | 1545 | 2.1067 | 49.261 | 22.7386 | 33.4517 | 35.6277 | 19.8061 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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