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README.md CHANGED
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  ---
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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:
@@ -15,18 +13,18 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart-base-finetuned-cnn_dailymail
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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: 1.0869
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- - Rouge1: 24.319
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- - Rouge2: 11.7165
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- - Rougel: 20.2787
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- - Rougelsum: 22.8328
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- - Bleu 1: 4.2345
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- - Bleu 2: 2.7623
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- - Bleu 3: 2.0117
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- - Meteor: 12.0461
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- - Compression rate: 4.0559
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Compression rate |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:----------------:|
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- | 1.4958 | 1.0 | 625 | 1.1055 | 24.2121 | 11.6998 | 20.2626 | 22.6715 | 4.2072 | 2.7283 | 1.981 | 11.9736 | 4.0611 |
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- | 1.1078 | 2.0 | 1250 | 1.0869 | 24.319 | 11.7165 | 20.2787 | 22.8328 | 4.2345 | 2.7623 | 2.0117 | 12.0461 | 4.0559 |
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # bart-base-finetuned-cnn_dailymail
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0513
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+ - Rouge1: 24.267
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+ - Rouge2: 11.7305
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+ - Rougel: 20.2444
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+ - Rougelsum: 22.6768
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+ - Bleu 1: 4.2724
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+ - Bleu 2: 2.7858
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+ - Bleu 3: 2.0352
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+ - Meteor: 12.0395
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+ - Compression rate: 4.0329
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor | Compression rate |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:----------------:|
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+ | 1.1979 | 1.0 | 625 | 1.0653 | 23.882 | 11.5236 | 19.9616 | 22.36 | 4.1676 | 2.7136 | 1.9845 | 11.8215 | 4.0625 |
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+ | 1.0449 | 2.0 | 1250 | 1.0513 | 24.267 | 11.7305 | 20.2444 | 22.6768 | 4.2724 | 2.7858 | 2.0352 | 12.0395 | 4.0329 |
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  ### Framework versions
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