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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/bart-large-cnn |
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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-cnn-finetuned-scope-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-cnn-finetuned-scope-summarization |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1120 |
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- Rouge1: 51.232 |
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- Rouge2: 37.3103 |
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- Rougel: 39.2783 |
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- Rougelsum: 39.2011 |
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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: 10 |
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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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| 0.6379 | 1.0 | 40 | 0.2289 | 45.9991 | 29.5151 | 34.3864 | 34.3984 | |
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| 0.2731 | 2.0 | 80 | 0.1935 | 47.3991 | 33.1933 | 38.1538 | 38.0514 | |
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| 0.2362 | 3.0 | 120 | 0.1734 | 47.4125 | 32.2496 | 35.7852 | 35.8279 | |
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| 0.222 | 4.0 | 160 | 0.1665 | 46.2226 | 32.0249 | 37.016 | 36.8941 | |
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| 0.2005 | 5.0 | 200 | 0.1530 | 50.1647 | 35.1015 | 39.0526 | 39.0721 | |
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| 0.1971 | 6.0 | 240 | 0.1434 | 49.7914 | 35.5371 | 39.2372 | 39.244 | |
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| 0.1754 | 7.0 | 280 | 0.1286 | 49.8482 | 35.7536 | 40.2412 | 40.2248 | |
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| 0.1777 | 8.0 | 320 | 0.1187 | 51.6342 | 38.223 | 41.4109 | 41.3626 | |
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| 0.1555 | 9.0 | 360 | 0.1149 | 49.1858 | 36.1404 | 38.857 | 38.7268 | |
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| 0.1415 | 10.0 | 400 | 0.1120 | 51.232 | 37.3103 | 39.2783 | 39.2011 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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