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@@ -15,6 +15,7 @@ The model was trained on a large corpus of financial texts:
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  - *Corporate Reports*: 192,000 transcripts (10-K & 10-Q)
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  - *Earning Calls*: 42,156 documents.
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- More details on `FinancialBERT`: https://wandb.ai/ahmedrachid/FinancialBERT-Language-Model/reports/Financial-BERT--VmlldzoxMzQwMTgy
 
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  > Created by [Ahmed Rachid Hazourli](https://www.linkedin.com/in/ahmed-rachid/)
 
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  - *Corporate Reports*: 192,000 transcripts (10-K & 10-Q)
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  - *Earning Calls*: 42,156 documents.
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+ More details on `FinancialBERT` can be found at: https://www.researchgate.net/publication/358284785_FinancialBERT_-_A_Pretrained_Language_Model_for_Financial_Text_Mining
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  > Created by [Ahmed Rachid Hazourli](https://www.linkedin.com/in/ahmed-rachid/)