feat: add osm data
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@@ -211,7 +211,9 @@ class NameModel:
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for batch in batches:
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batch_losses = {}
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self.nlp.update(batch, losses=batch_losses, drop=dropout_rate, sgd=optimizer)
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logging.info(f"Training batch with {len(batch)} examples, current losses: {batch_losses}")
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logging.info(
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f"Training batch with {len(batch)} examples, current losses: {batch_losses}"
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)
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# Accumulate into total losses dict
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for k, v in batch_losses.items():
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