... | ... |
@@ -267,7 +267,7 @@ class Learner1D(BaseLearner): |
267 | 267 |
self.update_losses(x, real) |
268 | 268 |
|
269 | 269 |
# If the scale has increased enough, recompute all losses. |
270 |
- if self._scale[1] > self._oldscale[1] * 1.1: |
|
270 |
+ if self._scale[1] > self._oldscale[1] * 2: |
|
271 | 271 |
|
272 | 272 |
for interval in self.losses: |
273 | 273 |
self.update_interpolated_losses_in_interval(*interval) |