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Perplexity evaluation: print to terminal after calculation is finished
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@ -127,9 +127,14 @@ def calculate_perplexity(models, input_dataset, stride, _max_length):
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break
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ppl = torch.exp(torch.stack(nlls).mean())
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add_entry_to_past_evaluations(float(ppl), shared.model_name, input_dataset, stride, _max_length)
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save_past_evaluations(past_evaluations)
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cumulative_log += f"The perplexity for `{shared.model_name}` is: {float(ppl)}\n\n"
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message = f"The perplexity for `{shared.model_name}` is: {float(ppl)}"
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logger.info(message)
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cumulative_log += f"{message}\n\n"
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yield cumulative_log
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