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author | Volpeon <git@volpeon.ink> | 2022-12-25 14:59:00 +0100 |
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committer | Volpeon <git@volpeon.ink> | 2022-12-25 14:59:00 +0100 |
commit | 1af6c15f795b5ba4df9179d8c59c6b595040a33f (patch) | |
tree | fa7c033a6c259b64fa84b5483894150b07c9337f /training/optimization.py | |
parent | Update (diff) | |
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Update
Diffstat (limited to 'training/optimization.py')
-rw-r--r-- | training/optimization.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/training/optimization.py b/training/optimization.py index c501ed9..3809f3b 100644 --- a/training/optimization.py +++ b/training/optimization.py | |||
@@ -6,7 +6,7 @@ from diffusers.utils import logging | |||
6 | logger = logging.get_logger(__name__) | 6 | logger = logging.get_logger(__name__) |
7 | 7 | ||
8 | 8 | ||
9 | def get_one_cycle_schedule(optimizer, num_training_steps, annealing="cos", min_lr=0.001, mid_point=0.4, last_epoch=-1): | 9 | def get_one_cycle_schedule(optimizer, num_training_steps, annealing="cos", min_lr=0.01, mid_point=0.4, last_epoch=-1): |
10 | """ | 10 | """ |
11 | Create a schedule with a learning rate that decreases linearly from the initial lr set in the optimizer to 0, after | 11 | Create a schedule with a learning rate that decreases linearly from the initial lr set in the optimizer to 0, after |
12 | a warmup period during which it increases linearly from 0 to the initial lr set in the optimizer. | 12 | a warmup period during which it increases linearly from 0 to the initial lr set in the optimizer. |