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--- |
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license: apache-2.0 |
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base_model: sshleifer/distilbart-cnn-12-6 |
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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: distilbart-12-6-cnn-dm-abstractive-summarizer |
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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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# distilbart-12-6-cnn-dm-abstractive-summarizer |
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6988 |
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- Rouge1: 0.42 |
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- Rouge2: 0.2006 |
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- Rougel: 0.3032 |
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- Rougelsum: 0.3033 |
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- Generated Length: 72.6006 |
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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: 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: 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 | Generated Length | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:| |
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| 1.1498 | 1.0 | 1436 | 1.5556 | 0.4009 | 0.1815 | 0.2843 | 0.2843 | 72.1027 | |
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| 1.1051 | 2.0 | 2872 | 1.5456 | 0.4127 | 0.191 | 0.2941 | 0.2942 | 71.2483 | |
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| 0.892 | 3.0 | 4308 | 1.5954 | 0.4129 | 0.1924 | 0.2946 | 0.2947 | 72.453 | |
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| 0.7543 | 4.0 | 5744 | 1.6574 | 0.4177 | 0.1974 | 0.3018 | 0.3017 | 71.8179 | |
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| 0.651 | 5.0 | 7180 | 1.6988 | 0.42 | 0.2006 | 0.3032 | 0.3033 | 72.6006 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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