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@@ -22,6 +22,17 @@ The model is built using the `distilbert-base-uncased` pretrained model, a small
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  ## Model Performance
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  ## Classes
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  ## Model Performance
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+ | Metric | Value |
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+ |------------------------|-------------------------|
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+ | eval_loss | 0.49603304266929626 |
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+ | eval_precision | 0.7144313872416078 |
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+ | eval_recall | 0.7034186400261718 |
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+ | eval_f1 | 0.6980022981890632 |
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+ | eval_balanced accuracy | 0.7034186400261718 |
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+ | eval_runtime | 177.7807 |
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+ | eval_samples_per_second| 59.348 |
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+ | eval_steps_per_second | 3.712 |
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+ | epoch | 6.0 |
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  ## Classes
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