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README.md
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1. Data filtering: Strictly prevent the C-MTEB-Retrieval test data from leaking, and clean all queries and passages in the test set;
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2. Data source enhancement: Use open source data and LLM synthetic data to improve data diversity;
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3. Negative example mining: Use multiple methods to deeply mine difficult-to-distinguish negative examples to improve information gain;
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4. Training efficiency: multi-machine multi-
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## Usage
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```bash
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1. Data filtering: Strictly prevent the C-MTEB-Retrieval test data from leaking, and clean all queries and passages in the test set;
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2. Data source enhancement: Use open source data and LLM synthetic data to improve data diversity;
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3. Negative example mining: Use multiple methods to deeply mine difficult-to-distinguish negative examples to improve information gain;
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4. Training efficiency: multi-machine multi-GPU training + Deepspeed method to optimize GPU memory utilization.
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## Usage
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```bash
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