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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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metrics: |
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- rouge |
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model-index: |
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- name: bart-base-finetuned-samsum |
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results: [] |
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language: |
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- en |
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pipeline_tag: summarization |
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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-base-finetuned-samsum |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5273 |
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- Rouge1: 46.8865 |
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- Rouge2: 23.8976 |
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- Rougel: 39.8604 |
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- Rougelsum: 43.0185 |
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- Gen Len: 18.0659 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 2.0008 | 1.0 | 921 | 1.6050 | 45.4152 | 21.5898 | 38.2192 | 41.5283 | 18.3272 | |
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| 1.6741 | 2.0 | 1842 | 1.5611 | 45.6316 | 22.7331 | 38.6353 | 42.0206 | 17.9963 | |
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| 1.547 | 3.0 | 2763 | 1.5362 | 46.4511 | 23.218 | 39.1461 | 42.4645 | 17.9255 | |
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| 1.4668 | 4.0 | 3684 | 1.5338 | 46.8899 | 23.7554 | 39.7789 | 43.0769 | 18.3553 | |
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| 1.4218 | 5.0 | 4605 | 1.5273 | 46.8865 | 23.8976 | 39.8604 | 43.0185 | 18.0659 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
