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-rw-r--r--src/text_recognizer/models/metrics.py19
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diff --git a/src/text_recognizer/models/metrics.py b/src/text_recognizer/models/metrics.py
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+++ b/src/text_recognizer/models/metrics.py
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+"""Utility functions for models."""
+
+import torch
+
+
+def accuracy(outputs: torch.Tensor, labels: torch.Tensro) -> float:
+ """Computes the accuracy.
+
+ Args:
+ outputs (torch.Tensor): The output from the network.
+ labels (torch.Tensor): Ground truth labels.
+
+ Returns:
+ float: The accuracy for the batch.
+
+ """
+ _, predicted = torch.max(outputs.data, dim=1)
+ acc = (predicted == labels).sum().item() / labels.shape[0]
+ return acc