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--- |
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license: apache-2.0 |
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base_model: sshleifer/distilbart-cnn-6-6 |
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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: nor-sum |
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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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# nor-sum |
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1812 |
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- Rouge1: 0.2552 |
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- Rouge2: 0.0679 |
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- Rougel: 0.1884 |
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- Rougelsum: 0.1886 |
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- Gen Len: 65.3086 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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 | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 2.6231 | 1.0 | 3188 | 2.4652 | 0.2359 | 0.0563 | 0.1732 | 0.1733 | 66.1928 | |
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| 2.3062 | 2.0 | 6377 | 2.2798 | 0.2524 | 0.0653 | 0.1864 | 0.1864 | 66.3107 | |
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| 2.0817 | 3.0 | 9565 | 2.1973 | 0.2529 | 0.0675 | 0.189 | 0.1893 | 65.077 | |
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| 1.9776 | 4.0 | 12752 | 2.1812 | 0.2552 | 0.0679 | 0.1884 | 0.1886 | 65.3086 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.1 |
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- Tokenizers 0.13.3 |
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