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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-multinews |
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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-multinews |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4152 |
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- Rouge1: 14.6798 |
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- Rouge2: 5.2044 |
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- Rougel: 11.2346 |
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- Rougelsum: 12.9794 |
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- Gen Len: 20.0 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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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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| 2.8162 | 1.0 | 506 | 2.4807 | 14.5888 | 4.9839 | 11.0896 | 12.9 | 20.0 | |
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| 2.6122 | 2.0 | 1012 | 2.4371 | 14.9075 | 5.3211 | 11.2711 | 13.1998 | 20.0 | |
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| 2.518 | 3.0 | 1518 | 2.4141 | 14.8607 | 5.2903 | 11.332 | 13.1363 | 20.0 | |
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| 2.4585 | 4.0 | 2024 | 2.4246 | 14.7346 | 5.2263 | 11.2281 | 13.0277 | 20.0 | |
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| 2.4206 | 5.0 | 2530 | 2.4152 | 14.6798 | 5.2044 | 11.2346 | 12.9794 | 20.0 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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