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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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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: bart-base-samsum |
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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-base-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: 1.5834 |
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- Rouge1: 47.552 |
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- Rouge2: 24.8542 |
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- Rougel: 40.56 |
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- Rougelsum: 44.3423 |
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- Gen Len: 17.8337 |
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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: 8e-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: 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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| 1.8884 | 1.0 | 1841 | 1.6325 | 47.0402 | 24.1542 | 39.6427 | 43.8472 | 18.5941 | |
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| 1.5081 | 2.0 | 3683 | 1.5834 | 47.552 | 24.8542 | 40.56 | 44.3423 | 17.8337 | |
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| 1.2216 | 3.0 | 5524 | 1.5855 | 48.2058 | 25.1623 | 40.9023 | 44.2822 | 17.901 | |
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| 1.0074 | 4.0 | 7366 | 1.6049 | 48.3145 | 25.2348 | 40.8688 | 44.4735 | 18.4829 | |
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| 0.8544 | 5.0 | 9205 | 1.6455 | 48.5926 | 25.3142 | 40.9144 | 44.6577 | 18.3924 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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