forked from mrq/ai-voice-cloning
remove redundant stats, add showing LR
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parent
0231550287
commit
8b9c9e1bbf
15
src/utils.py
15
src/utils.py
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@ -758,7 +758,11 @@ class TrainingState():
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except Exception as e:
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pass
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self.metrics['step'] = [f"{self.epoch}/{self.epochs}", f"{self.it}/{self.its}", f"{step}/{steps}"]
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self.metrics['step'] = [f"{self.epoch}/{self.epochs}"]
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if self.epochs != self.its:
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self.metric.append(f"{self.it}/{self.its}")
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if steps > 1:
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self.metric.append(f"{step}/{steps}")
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self.metrics['step'] = ", ".join(self.metrics['step'])
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if lapsed:
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@ -786,7 +790,7 @@ class TrainingState():
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self.metrics['rate'] = []
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if self.epoch_rate:
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self.metrics['rate'].append(self.epoch_rate)
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if self.it_rate:
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if self.it_rate and self.epoch_rate != self.it_rate:
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self.metrics['rate'].append(self.it_rate)
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self.metrics['rate'] = ", ".join(self.metrics['rate'])
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@ -802,6 +806,10 @@ class TrainingState():
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pass
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self.metrics['loss'] = []
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if 'learning_rate_gpt_0' in self.info:
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self.metrics['loss'].append(f'LR: {"{:.9f}".format(self.info["learning_rate_gpt_0"])}')
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if len(self.losses) > 0:
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self.metrics['loss'].append(f'Loss: {"{:.3f}".format(self.losses[-1]["value"])}')
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@ -845,7 +853,7 @@ class TrainingState():
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self.metrics['loss'] = ", ".join(self.metrics['loss'])
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message = f"[{self.metrics['step']}] [{self.metrics['rate']}] [ETA: {eta_hhmmss}] [{self.metrics['loss']}]"
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message = f"[{self.metrics['step']}] [{self.metrics['rate']}] [ETA: {eta_hhmmss}]\n[{self.metrics['loss']}]"
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if message:
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percent = self.it / float(self.its) # self.epoch / float(self.epochs)
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@ -949,6 +957,7 @@ def stop_training():
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try:
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children = [p.info for p in psutil.process_iter(attrs=['pid', 'name', 'cmdline']) if './src/train.py' in p.info['cmdline']]
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except Exception as e:
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print(e)
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pass
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training_state.process.stdout.close()
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