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@@ -60,6 +60,14 @@ tokenized_input= tokenizer(input)
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  output = model(tokenized_input)
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  ```
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  BibTeX Entry and Citation Info
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  ===============
 
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  output = model(tokenized_input)
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  ```
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+ ## Results on Dowstream datasets
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+ EDGAR-T5-Large was finetuned on some downstream datasets to get better results than T5 large. BloombergGPT 50B was used as baseline.
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+
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+ | Dataset | Bloomberg GPT 50B | T5 Large | Edgar T5 Large |
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+ |----------|-------------------|----------|----------------|
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+ | FiQA SA | 75.07 | 74.89 | 80.42 |
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+ | FPB | 51.07 | 55.77 | 79.69 |
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+ | Headline | 82.20 | 90.55 | 93.55 |
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  BibTeX Entry and Citation Info
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  ===============