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--- |
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library_name: peft |
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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: results |
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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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# results |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.6783 |
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- Rouge1: 22.6282 |
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- Rouge2: 2.7613 |
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- Rougel: 15.7792 |
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- Gen Len: 66.1839 |
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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: 5e-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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:--------:| |
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| 7.8707 | 0.5754 | 500 | 7.7020 | 22.5587 | 2.5824 | 15.5739 | 64.7494 | |
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| 7.7352 | 1.1507 | 1000 | 7.4834 | 22.4958 | 2.3149 | 15.6863 | 69.8138 | |
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| 7.2829 | 1.7261 | 1500 | 6.9061 | 20.4987 | 2.3443 | 15.3680 | 98.8828 | |
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| 7.0328 | 2.3015 | 2000 | 6.9069 | 20.6740 | 2.2923 | 15.6237 | 108.1402 | |
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| 6.9828 | 2.8769 | 2500 | 6.8401 | 21.0086 | 2.2733 | 15.7925 | 106.2667 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
