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bart-base-finetuned-xsum

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update model card README.md

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@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.7802
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- - Rouge1: 10.2143
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- - Rouge2: 5.6684
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- - Rougel: 8.8677
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- - Rougelsum: 9.8692
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  - Gen Len: 20.0
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  ## Model description
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
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- | 3.1154 | 1.0 | 501 | 2.1511 | 10.4214 | 5.0073 | 8.8506 | 9.9896 | 19.982 |
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- | 2.1503 | 2.0 | 1002 | 1.9367 | 10.2207 | 5.631 | 8.9531 | 9.9404 | 20.0 |
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- | 1.9303 | 3.0 | 1503 | 1.8703 | 10.4496 | 5.8424 | 9.1 | 10.1692 | 20.0 |
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- | 1.8227 | 4.0 | 2004 | 1.8365 | 10.3195 | 5.6383 | 8.9427 | 10.0217 | 20.0 |
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- | 1.7561 | 5.0 | 2505 | 1.8137 | 10.3644 | 5.7409 | 8.9742 | 10.0328 | 20.0 |
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- | 1.6962 | 6.0 | 3006 | 1.7963 | 10.307 | 5.7619 | 8.9713 | 10.0001 | 20.0 |
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- | 1.6573 | 7.0 | 3507 | 1.7906 | 10.2633 | 5.6772 | 8.9086 | 9.9373 | 20.0 |
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- | 1.6357 | 8.0 | 4008 | 1.7808 | 10.3619 | 5.7546 | 9.0124 | 10.02 | 20.0 |
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- | 1.6269 | 9.0 | 4509 | 1.7808 | 10.2688 | 5.6934 | 8.934 | 9.9284 | 20.0 |
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- | 1.6031 | 10.0 | 5010 | 1.7802 | 10.2143 | 5.6684 | 8.8677 | 9.8692 | 20.0 |
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  ### Framework versions
 
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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: 1.7802
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+ - Rouge1: 10.2407
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+ - Rouge2: 5.6898
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+ - Rougel: 8.8732
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+ - Rougelsum: 9.8768
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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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+ | 3.1154 | 1.0 | 501 | 2.1511 | 10.4364 | 5.0268 | 8.8521 | 9.977 | 19.982 |
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+ | 2.1503 | 2.0 | 1002 | 1.9367 | 10.2402 | 5.6448 | 8.95 | 9.9444 | 20.0 |
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+ | 1.9303 | 3.0 | 1503 | 1.8703 | 10.4716 | 5.8584 | 9.091 | 10.1726 | 20.0 |
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+ | 1.8227 | 4.0 | 2004 | 1.8365 | 10.3486 | 5.6575 | 8.9376 | 10.0274 | 20.0 |
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+ | 1.7561 | 5.0 | 2505 | 1.8137 | 10.3933 | 5.7567 | 8.9715 | 10.0342 | 20.0 |
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+ | 1.6962 | 6.0 | 3006 | 1.7963 | 10.3287 | 5.7717 | 8.9701 | 10.0094 | 20.0 |
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+ | 1.6573 | 7.0 | 3507 | 1.7906 | 10.2815 | 5.6978 | 8.9025 | 9.9513 | 20.0 |
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+ | 1.6357 | 8.0 | 4008 | 1.7808 | 10.3892 | 5.78 | 9.0166 | 10.0314 | 20.0 |
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+ | 1.6269 | 9.0 | 4509 | 1.7808 | 10.2931 | 5.7193 | 8.9356 | 9.9356 | 20.0 |
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+ | 1.6031 | 10.0 | 5010 | 1.7802 | 10.2407 | 5.6898 | 8.8732 | 9.8768 | 20.0 |
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  ### Framework versions