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-rw-r--r--text_recognizer/models/transformer.py11
1 files changed, 6 insertions, 5 deletions
diff --git a/text_recognizer/models/transformer.py b/text_recognizer/models/transformer.py
index b511947..7afe9bd 100644
--- a/text_recognizer/models/transformer.py
+++ b/text_recognizer/models/transformer.py
@@ -54,11 +54,11 @@ class LitTransformer(LitBase):
def validation_step(self, batch: Tuple[Tensor, Tensor], batch_idx: int) -> None:
"""Validation step."""
data, targets = batch
-
- # Compute the loss.
- logits = self.network(data, targets[:, :-1])
- loss = self.loss_fn(logits, targets[:, 1:])
- self.log("val/loss", loss, prog_bar=True)
+ preds = self.predict(data)
+ self.val_acc(preds, targets)
+ self.log("val/acc", self.val_acc, on_step=False, on_epoch=True)
+ self.val_cer(preds, targets)
+ self.log("val/cer", self.val_cer, on_step=False, on_epoch=True, prog_bar=True)
def test_step(self, batch: Tuple[Tensor, Tensor], batch_idx: int) -> None:
"""Test step."""
@@ -71,6 +71,7 @@ class LitTransformer(LitBase):
self.test_acc(pred, targets)
self.log("test/acc", self.test_acc, on_step=False, on_epoch=True)
+ @torch.no_grad()
def predict(self, x: Tensor) -> Tensor:
"""Predicts text in image.