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--- |
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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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- summarization |
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- generated_from_trainer |
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datasets: |
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- tldr_news |
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metrics: |
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- rouge |
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model-index: |
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- name: summary_model |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: tldr_news |
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type: tldr_news |
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config: all |
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split: test |
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args: all |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 0.21590240799799404 |
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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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# summary_model |
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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 tldr_news dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9573 |
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- Rouge1: 0.2159 |
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- Rouge2: 0.0831 |
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- Rougel: 0.1829 |
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- Rougelsum: 0.1869 |
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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: 5.6e-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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 0.5871 | 1.0 | 63 | 2.7134 | 0.2176 | 0.0872 | 0.1881 | 0.1951 | |
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| 0.4422 | 2.0 | 126 | 2.9573 | 0.2159 | 0.0831 | 0.1829 | 0.1869 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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