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fixed not cleaning up states while training (oops)

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mrq 2023-03-15 02:48:05 +00:00
parent b31bf1206e
commit 7b80f7a42f
2 changed files with 9 additions and 5 deletions
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2
modules/dlas

@ -1 +1 @@
Subproject commit 3fdf2a63aaf901f16763fa632269b823915199f4
Subproject commit b253da6e353f0170c3eb60fe299c41d2fa21db50

12
src/utils.py
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@ -937,15 +937,19 @@ class TrainingState():
should_return = True
else:
# INFO: Training Metrics: {"loss_text_ce": 4.308311939239502, "loss_mel_ce": 2.1610655784606934, "loss_gpt_total": 2.204148769378662, "lr": 0.0001, "it": 2, "step": 1, "steps": 1, "epoch": 1, "iteration_rate": 0.10700102965037028}
if line.find('INFO: Training Metrics:') >= 0:
data = None
if line.find('INFO: Saving models and training states.') >= 0:
self.checkpoint += 1
message = f"[{self.checkpoint}/{self.checkpoints}] Saving checkpoint..."
percent = self.checkpoint / self.checkpoints
self.cleanup_old(keep=keep_x_past_checkpoints)
elif line.find('INFO: Training Metrics:') >= 0:
data = json.loads(line.split("INFO: Training Metrics:")[-1])
data['mode'] = "training"
elif line.find('INFO: Validation Metrics:') >= 0:
data = json.loads(line.split("INFO: Validation Metrics:")[-1])
data['mode'] = "validation"
else:
data = None
if data is not None:
if ': nan' in line and not self.nan_detected: