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--- |
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license: apache-2.0 |
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base_model: facebook/bart-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: bart-base-finetuned-CNN-DailyNews |
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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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# bart-base-finetuned-CNN-DailyNews |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8682 |
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- Rouge1: 0.184 |
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- Rouge2: 0.1067 |
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- Rougel: 0.1628 |
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- Rougelsum: 0.1718 |
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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: 5.6e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 2.6113 | 1.0 | 63 | 1.9753 | 0.1612 | 0.092 | 0.146 | 0.1524 | |
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| 2.0604 | 2.0 | 126 | 1.8843 | 0.1922 | 0.1126 | 0.1709 | 0.1824 | |
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| 1.7829 | 3.0 | 189 | 1.8400 | 0.1874 | 0.1056 | 0.1672 | 0.1754 | |
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| 1.6337 | 4.0 | 252 | 1.8325 | 0.1878 | 0.1079 | 0.1664 | 0.176 | |
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| 1.4657 | 5.0 | 315 | 1.8439 | 0.1839 | 0.1057 | 0.1651 | 0.1719 | |
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| 1.3926 | 6.0 | 378 | 1.8445 | 0.1868 | 0.1049 | 0.1657 | 0.1752 | |
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| 1.2903 | 7.0 | 441 | 1.8545 | 0.1878 | 0.1072 | 0.1663 | 0.1753 | |
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| 1.2512 | 8.0 | 504 | 1.8682 | 0.184 | 0.1067 | 0.1628 | 0.1718 | |
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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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