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--- |
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license: mit |
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base_model: facebook/bart-large-xsum |
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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-large-xsum_readme_summarization |
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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-large-xsum_readme_summarization |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1218 |
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- Rouge1: 0.5637 |
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- Rouge2: 0.4319 |
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- Rougel: 0.5369 |
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- Rougelsum: 0.5371 |
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- Gen Len: 21.5048 |
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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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- 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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| 2.1078 | 1.0 | 1458 | 1.9876 | 0.4994 | 0.3426 | 0.4684 | 0.4682 | 20.1103 | |
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| 1.3919 | 2.0 | 2916 | 1.8539 | 0.5137 | 0.3697 | 0.4841 | 0.4839 | 21.8345 | |
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| 0.9878 | 3.0 | 4374 | 1.9027 | 0.5441 | 0.401 | 0.5174 | 0.5171 | 20.1487 | |
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| 0.6594 | 4.0 | 5832 | 2.0362 | 0.5628 | 0.4272 | 0.5385 | 0.538 | 21.3417 | |
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| 0.4691 | 5.0 | 7290 | 2.1218 | 0.5637 | 0.4319 | 0.5369 | 0.5371 | 21.5048 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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