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--- |
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base_model: vinai/bartpho-word-base |
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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-finetuned-ee |
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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-finetuned-ee |
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This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0116 |
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- Rouge1: 88.7018 |
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- Rouge2: 79.3922 |
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- Rougel: 88.6978 |
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- Rougelsum: 88.7065 |
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- Gen Len: 9.733 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- mixed_precision_training: Native AMP |
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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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| 0.0184 | 1.0 | 1492 | 0.0143 | 87.5521 | 76.9727 | 87.5302 | 87.5409 | 9.779 | |
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| 0.0124 | 2.0 | 2984 | 0.0125 | 87.4254 | 76.7809 | 87.4381 | 87.4401 | 9.9261 | |
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| 0.0093 | 3.0 | 4476 | 0.0116 | 88.7018 | 79.3922 | 88.6978 | 88.7065 | 9.733 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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