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@@ -86,6 +86,18 @@ pretrained on RL job data
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  When fine-tuned on downstream tasks, this model achieves the following results:
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  When fine-tuned on downstream tasks, this model achieves the following results:
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+ | **Epoch** | **Training Loss** | **Validation Loss** | **F1** | **Roc Auc** | **Accuracy** |
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+ |-----------|-------------------|---------------------|----------|-------------|--------------|
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+ | 1 | 0.074300 | 0.029751 | 0.883002 | 0.913199 | 0.803867 |
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+ | 2 | 0.021500 | 0.014518 | 0.934467 | 0.954356 | 0.884899 |
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+ | 3 | 0.011000 | 0.009840 | 0.948709 | 0.974499 | 0.910681 |
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+ | 4 | 0.006400 | 0.008019 | 0.954343 | 0.978672 | 0.920810 |
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+ | 5 | 0.004700 | 0.007079 | 0.957388 | 0.979759 | 0.927256 |
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+ | 6 | 0.003200 | 0.005971 | 0.967298 | 0.984046 | 0.939227 |
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+ | 7 | 0.002300 | 0.005723 | 0.967033 | 0.985045 | 0.941989 |
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+ | 8 | 0.001700 | 0.005290 | 0.972001 | 0.984504 | 0.941989 |
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+ | 9 | 0.001300 | 0.005503 | 0.968653 | 0.984417 | 0.941068 |
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+ |10 | 0.001100 | 0.005388 | 0.971369 | 0.985159 | 0.942910 |
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