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README.md
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license: apache-2.0
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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metrics:
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# bart-base-finetuned-xsum
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rouge1: 10.
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- Rouge2: 4.
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- Rougel: 8.
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- Rougelsum: 9.
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- Gen Len: 20.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
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| 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.
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- Datasets 2.
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- Tokenizers 0.13.3
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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# bart-base-finetuned-xsum
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7880
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- Rouge1: 10.6237
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- Rouge2: 4.6997
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- Rougel: 8.522
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- Rougelsum: 9.8677
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- Gen Len: 20.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
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| 1.6639 | 1.0 | 6188 | 1.7880 | 10.6237 | 4.6997 | 8.522 | 9.8677 | 20.0 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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