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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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- 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-large-cnn-finetuned-scope1-summarization |
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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-large-cnn-finetuned-scope1-summarization |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0612 |
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- Rouge1: 55.9874 |
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- Rouge2: 41.0458 |
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- Rougel: 47.6072 |
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- Rougelsum: 47.5635 |
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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: 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: 10 |
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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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| No log | 1.0 | 17 | 0.1238 | 46.7806 | 30.4394 | 36.8259 | 36.8757 | |
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| 0.4762 | 2.0 | 34 | 0.1058 | 49.4907 | 32.4075 | 39.352 | 39.161 | |
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| 0.4762 | 3.0 | 51 | 0.0899 | 54.1557 | 35.6198 | 41.6488 | 41.4013 | |
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| 0.1104 | 4.0 | 68 | 0.0867 | 53.237 | 36.766 | 42.8508 | 42.7151 | |
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| 0.1104 | 5.0 | 85 | 0.0773 | 57.4084 | 39.3354 | 45.068 | 44.9505 | |
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| 0.0914 | 6.0 | 102 | 0.0736 | 56.9111 | 41.3118 | 48.1607 | 47.9965 | |
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| 0.0914 | 7.0 | 119 | 0.0699 | 58.6135 | 42.3985 | 48.7923 | 48.4873 | |
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| 0.0785 | 8.0 | 136 | 0.0673 | 59.5593 | 43.9205 | 51.7275 | 51.5617 | |
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| 0.0785 | 9.0 | 153 | 0.0618 | 62.0583 | 47.3928 | 53.3198 | 53.1472 | |
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| 0.0702 | 10.0 | 170 | 0.0612 | 55.9874 | 41.0458 | 47.6072 | 47.5635 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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