forked from mrq/ai-voice-cloning
forgot to clean up debug prints
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239c984850
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@ -819,8 +819,6 @@ class TrainingState():
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continue
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continue
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self.parse_metrics(data)
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self.parse_metrics(data)
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print(self.get_status())
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# print(f"Iterations Left: {self.its - self.it} | Elapsed Time: {self.it_rates} | Time Remaining: {self.eta} | Message: {self.get_status()}")
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self.last_info_check_at = highest_step
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self.last_info_check_at = highest_step
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@ -964,8 +962,6 @@ def update_training_dataplot(config_path=None):
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training_state = TrainingState(config_path=config_path, start=False)
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training_state = TrainingState(config_path=config_path, start=False)
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training_state.load_statistics()
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training_state.load_statistics()
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message = training_state.get_status()
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message = training_state.get_status()
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print(message)
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if len(training_state.statistics['loss']) > 0:
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if len(training_state.statistics['loss']) > 0:
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losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
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losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
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if len(training_state.statistics['lr']) > 0:
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if len(training_state.statistics['lr']) > 0:
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@ -973,7 +969,7 @@ def update_training_dataplot(config_path=None):
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del training_state
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del training_state
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training_state = None
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training_state = None
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else:
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else:
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training_state.load_statistics()
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# training_state.load_statistics()
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if len(training_state.statistics['loss']) > 0:
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if len(training_state.statistics['loss']) > 0:
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losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
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losses = gr.LinePlot.update(value=pd.DataFrame(training_state.statistics['loss']), x_lim=[0,training_state.epochs], x="epoch", y="value", title="Loss Metrics", color="type", tooltip=['epoch', 'it', 'value', 'type'], width=500, height=350,)
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if len(training_state.statistics['lr']) > 0:
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if len(training_state.statistics['lr']) > 0:
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