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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: tidy-tab-model-bart-large-cnn |
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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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# tidy-tab-model-bart-large-cnn |
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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: 2.5251 |
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- Rouge1: 0.1756 |
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- Rouge2: 0.106 |
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- Rougel: 0.1736 |
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- Rougelsum: 0.1739 |
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- Gen Len: 57.7607 |
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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: 4e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 24 |
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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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| 0.0787 | 7.5758 | 500 | 2.4807 | 0.1848 | 0.1066 | 0.1798 | 0.18 | 57.5385 | |
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| 0.0293 | 15.1515 | 1000 | 2.1823 | 0.1619 | 0.0957 | 0.1594 | 0.1594 | 57.7521 | |
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| 0.0072 | 22.7273 | 1500 | 2.5251 | 0.1756 | 0.106 | 0.1736 | 0.1739 | 57.7607 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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