From f616bb5e67361ac17b8a153a45863d02b788c861 Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Wed, 15 Jun 2022 00:17:07 +0200
Subject: Calculate cer and acc in val step
---
text_recognizer/models/transformer.py | 11 ++++++-----
1 file changed, 6 insertions(+), 5 deletions(-)
(limited to 'text_recognizer')
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.
--
cgit v1.2.3-70-g09d2