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@@ -15,6 +15,4 @@ Our 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`'s pre-training process can be found at: https://wandb.ai/ahmedrachid/FinancialBERT-Language-Model/reports/Financial-BERT--VmlldzoxMzQwMTgy
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- It can be further fine-tuned on downstream tasks such as Sentiment Analysis or Classification & Categorisation on financial news.
 
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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