Commit ·
e02aba1
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Parent(s): ab93dff
Updated model card
Browse files
README.md
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@@ -19,8 +19,6 @@ It is trained on the following three financial communication corpus. The total c
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- Corporate Reports 10-K & 10-Q: 2.5B tokens
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- Earnings Call Transcripts: 1.3B tokens
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- Analyst Reports: 1.1B tokens
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- Demo.org Proprietary Reports
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- Additional purchased data from Factset
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The entire training is done using an **NVIDIA DGX-1** machine. The server has 4 Tesla P100 GPUs, providing a total of 128 GB of GPU memory. This machine enables us to train the BERT models using a batch size of 128. We utilize Horovord framework for multi-GPU training. Overall, the total time taken to perform pretraining for one model is approximately **2 days**.
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- Corporate Reports 10-K & 10-Q: 2.5B tokens
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- Earnings Call Transcripts: 1.3B tokens
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- Analyst Reports: 1.1B tokens
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The entire training is done using an **NVIDIA DGX-1** machine. The server has 4 Tesla P100 GPUs, providing a total of 128 GB of GPU memory. This machine enables us to train the BERT models using a batch size of 128. We utilize Horovord framework for multi-GPU training. Overall, the total time taken to perform pretraining for one model is approximately **2 days**.
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