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README.md
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# bart_samsum
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.4947
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- Rouge1: 53.3294
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- Meteor: 0.4887
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- Gen Len: 30.1209
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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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- 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 | Bleu | Meteor | Gen Len |
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| 1.3838 | 0.9997 | 1841 | 1.5631 | 52.3252 | 27.2646 | 42.5893 | 48.2397 | 0.0 | 0.4825 | 32.0415 |
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| 1.0835 | 2.0 | 3683 | 1.4947 | 53.3294 | 28.6009 | 44.2008 | 49.2031 | 0.0 | 0.4887 | 30.1209 |
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| 0.8345 | 2.9997 | 5524 | 1.5956 | 52.1812 | 27.1239 | 42.9864 | 47.6384 | 0.0 | 0.4774 | 30.5446 |
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| 0.672 | 4.0 | 7366 | 1.6695 | 52.8148 | 27.4815 | 43.3732 | 48.4633 | 0.0 | 0.4836 | 31.0342 |
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| 0.538 | 4.9986 | 9205 | 1.8055 | 52.0988 | 26.762 | 42.5505 | 47.3721 | 0.0 | 0.4738 | 29.8901 |
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### Framework versions
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# bart_samsum
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the [samsum](https://huggingface.co/datasets/samsum) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4947
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- Rouge1: 53.3294
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- Meteor: 0.4887
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- Gen Len: 30.1209
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Comparison between
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### Training hyperparameters
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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