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--- |
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license: mit |
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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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base_model: facebook/bart-large-cnn |
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model-index: |
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- name: bart-large-cnn_summarizer_30216 |
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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_summarizer_30216 |
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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: 0.9800 |
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- Rouge1: 51.6258 |
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- Rouge2: 33.4629 |
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- Rougel: 40.3034 |
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- Rougelsum: 47.8482 |
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- Gen Len: 105.0622 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 3 |
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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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| 0.8653 | 1.0 | 12086 | 0.9274 | 51.1144 | 32.972 | 39.8981 | 47.2905 | 100.2417 | |
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| 0.6741 | 2.0 | 24172 | 0.9330 | 51.5965 | 33.5021 | 40.4048 | 47.8046 | 103.9732 | |
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| 0.4802 | 3.0 | 36258 | 0.9800 | 51.6258 | 33.4629 | 40.3034 | 47.8482 | 105.0622 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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