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--- |
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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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- summarization |
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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_fine_tuned |
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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_fine_tuned |
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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: 0.3711 |
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- Rouge1: 64.5245 |
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- Rouge2: 53.1381 |
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- Rougel: 47.3234 |
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- Rougelsum: 51.2042 |
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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-06 |
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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: 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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| 0.4228 | 1.0 | 389 | 0.3821 | 57.8993 | 45.4774 | 41.9455 | 44.9012 | |
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| 0.321 | 2.0 | 778 | 0.3641 | 61.5071 | 49.6584 | 45.5774 | 48.3601 | |
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| 0.2764 | 3.0 | 1167 | 0.3689 | 63.7295 | 52.1907 | 46.827 | 50.3726 | |
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| 0.2504 | 4.0 | 1556 | 0.3711 | 64.5245 | 53.1381 | 47.3234 | 51.2042 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.1 |
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