Update
Browse files- Experiments/nohup.out +2 -2
- Experiments/run/events.out.tfevents.1706446227.edresson-train-80.140666.0 +2 -2
- Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/best_model.pth +1 -1
- Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/{best_model_88131.pth → best_model_88444.pth} +1 -1
- Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/trainer_0_log.txt +2 -2
- Experiments/train_syntacc.py +4 -2
- Experiments/train_syntacc_baseline.py +2 -0
Experiments/nohup.out
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Experiments/run/events.out.tfevents.1706446227.edresson-train-80.140666.0
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Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/best_model.pth
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size 1044057262
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Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/{best_model_88131.pth → best_model_88444.pth}
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Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/trainer_0_log.txt
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Experiments/train_syntacc.py
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@@ -22,13 +22,13 @@ torch.set_num_threads(24)
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CURRENT_PATH = os.path.dirname(os.path.abspath(__file__))
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# Name of the run for the Trainer
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RUN_NAME = "YourTTS-Syntacc-
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# Path where you want to save the models outputs (configs, checkpoints and tensorboard logs)
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OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "runs") # "/raid/coqui/Checkpoints/original-YourTTS/"
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# If you want to do transfer learning and speedup your training you can set here the path to the CML-TTS available checkpoint that cam be downloaded here: https://drive.google.com/u/2/uc?id=1yDCSJ1pFZQTHhL09GMbOrdjcPULApa0p
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RESTORE_PATH = "/raid/datasets/MUPE/Experiments/runs/YourTTS-Syntacc-PT-January-
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# This paramter is useful to debug, it skips the training epochs and just do the evaluation and produce the test sentences
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SKIP_TRAIN_EPOCH = False
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# Init VITSArgs setting the arguments that are needed for the YourTTS model
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model_args = VitsArgs(
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spec_segment_size=62,
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hidden_channels=192,
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hidden_channels_ffn_text_encoder=768,
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CURRENT_PATH = os.path.dirname(os.path.abspath(__file__))
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# Name of the run for the Trainer
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RUN_NAME = "YourTTS-Syntacc-PT_continue"
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# Path where you want to save the models outputs (configs, checkpoints and tensorboard logs)
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OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "runs") # "/raid/coqui/Checkpoints/original-YourTTS/"
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# If you want to do transfer learning and speedup your training you can set here the path to the CML-TTS available checkpoint that cam be downloaded here: https://drive.google.com/u/2/uc?id=1yDCSJ1pFZQTHhL09GMbOrdjcPULApa0p
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RESTORE_PATH = "/raid/datasets/MUPE/Experiments/runs/YourTTS-Syntacc-PT-January-28-2024_09+50AM-5f5841de1/best_model_88444.pth" # Download the checkpoint here: https://drive.google.com/u/2/uc?id=1yDCSJ1pFZQTHhL09GMbOrdjcPULApa0p
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# This paramter is useful to debug, it skips the training epochs and just do the evaluation and produce the test sentences
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SKIP_TRAIN_EPOCH = False
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# Init VITSArgs setting the arguments that are needed for the YourTTS model
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model_args = VitsArgs(
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inference_noise_scale=0.33,
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inference_noise_scale_dp=0.33,
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spec_segment_size=62,
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hidden_channels=192,
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hidden_channels_ffn_text_encoder=768,
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Experiments/train_syntacc_baseline.py
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# Init VITSArgs setting the arguments that are needed for the YourTTS model
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model_args = VitsArgs(
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spec_segment_size=62,
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hidden_channels=192,
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hidden_channels_ffn_text_encoder=768,
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# Init VITSArgs setting the arguments that are needed for the YourTTS model
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model_args = VitsArgs(
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inference_noise_scale=0.33,
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inference_noise_scale_dp=0.33,
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spec_segment_size=62,
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hidden_channels=192,
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hidden_channels_ffn_text_encoder=768,
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