osmarks/nanogpt-experiments
1
0
Fork 0
mirror of https://github.com/osmarks/nanogpt-experiments.git synced 2024-09-21 03:39:44 +00:00
Code Issues Releases Wiki Activity

rename iter to it, because iter is a concrete Python builtin

Browse Source
This commit is contained in:
Andrej Karpathy 2023-01-31 23:34:02 +00:00
parent d2705bd92a
commit 038ce89438
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
train.py
View File

@ -211,15 +211,15 @@ def estimate_loss():
return out
# learning rate decay scheduler (cosine with warmup)
def get_lr(iter):
def get_lr(it):
# 1) linear warmup for warmup_iters steps
if iter < warmup_iters:
return learning_rate * iter / warmup_iters
# 2) if iter > lr_decay_iters, return min learning rate
if iter > lr_decay_iters:
if it < warmup_iters:
return learning_rate * it / warmup_iters
# 2) if it > lr_decay_iters, return min learning rate
if it > lr_decay_iters:
return min_lr
# 3) in between, use cosine decay down to min learning rate
decay_ratio = (iter - warmup_iters) / (lr_decay_iters - warmup_iters)
decay_ratio = (it - warmup_iters) / (lr_decay_iters - warmup_iters)
assert 0 <= decay_ratio <= 1
coeff = 0.5 * (1.0 + math.cos(math.pi * decay_ratio)) # coeff ranges 0..1
return min_lr + coeff * (learning_rate - min_lr)