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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-dc |
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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-dc |
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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: 1.6335 |
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- Rouge1: 32.0323 |
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- Rouge2: 14.1008 |
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- Rougel: 24.5596 |
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- Rougelsum: 25.6498 |
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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: 4 |
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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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| 1.9052 | 1.0 | 2676 | 1.7569 | 30.4785 | 12.762 | 23.1862 | 23.9824 | |
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| 1.4258 | 2.0 | 5352 | 1.5930 | 31.7087 | 13.5933 | 23.9115 | 24.7093 | |
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| 1.1141 | 3.0 | 8028 | 1.5729 | 32.3123 | 14.3572 | 24.8666 | 25.856 | |
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| 0.8621 | 4.0 | 10704 | 1.6335 | 32.0323 | 14.1008 | 24.5596 | 25.6498 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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