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nsi319
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legal-led-base-16384

Summarization
Transformers
PyTorch
English
led
text2text-generation
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Update README.md

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@@ -43,7 +43,7 @@ summary = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_s
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  When the model is used for summarizing legal documents, it achieves the following results:
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- | Model | rouge1 | rouge1-precision | rouge2 | rouge2-recision | rougeL | rougeL-precision |
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  |:-----------:|:-----:|:-----:|:------:|:-----:|:------:|:-----:|
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  | legal-led-base-16384 | **55.69** | **58.65** | **27.87** | **28.04** | **29.62** | **30.89** |
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  | led-base-16384 | 29.19 | 30.43 | 15.23 | 16.27 | 16.32 | 16.58 |
 
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  When the model is used for summarizing legal documents, it achieves the following results:
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+ | Model | rouge1 | rouge1-precision | rouge2 | rouge2-precision | rougeL | rougeL-precision |
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  |:-----------:|:-----:|:-----:|:------:|:-----:|:------:|:-----:|
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  | legal-led-base-16384 | **55.69** | **58.65** | **27.87** | **28.04** | **29.62** | **30.89** |
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  | led-base-16384 | 29.19 | 30.43 | 15.23 | 16.27 | 16.32 | 16.58 |