Comments (5)
Bahm9919
commented on July 23, 2024
1
Solved. Need to train gate from scratch like in README.
How much epochs did you do? Also, what dataset did you use?
i'm using my own collecting russian dataset. For this, it was about 50 epochs. Need train not only gate, so gate doesnt matter for this problem, need train without attention, and training nflow2 solved this problem, and training with cummulative attention.
So you did full retraining from scratch? No way to fix it for pretrained models?
There is several ways to fix it.
- use your checkpoint path for gate training like in README. Training from scratch. Step 4.
- use checkpoint path for warmstart n_flow2,
- use checkpoint path of n_flow2 for warm start with cummulative_attention. (very recommended)
Also you can setuse_attn_priorto false and continue training from your checkpoint path.
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Bahm9919
commented on July 23, 2024
Solved. Need to train gate from scratch like in README.
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nikich340
commented on July 23, 2024
Solved. Need to train gate from scratch like in README.
How much epochs did you do? Also, what dataset did you use?
from flowtron.
Bahm9919
commented on July 23, 2024
Solved. Need to train gate from scratch like in README.
How much epochs did you do? Also, what dataset did you use?
i'm using my own collecting russian dataset. For this, it was about 50 epochs. Need train not only gate, so gate doesnt matter for this problem, need train without attention, and training nflow2 solved this problem, and training with cummulative attention.
from flowtron.
nikich340
commented on July 23, 2024
Solved. Need to train gate from scratch like in README.
How much epochs did you do? Also, what dataset did you use?
i'm using my own collecting russian dataset. For this, it was about 50 epochs. Need train not only gate, so gate doesnt matter for this problem, need train without attention, and training nflow2 solved this problem, and training with cummulative attention.
So you did full retraining from scratch? No way to fix it for pretrained models?
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Related Issues (20)
- List index out of range
- Request for clarification on some of the readme scripts. HOT 8
- Custom model resumed from pre-trained model has a stuttering problem.
- How would one keep the model loaded for immediate synthesis? HOT 17
- Inference on pre-trained model (flowtron_ljs) speaking nonsense. HOT 4
- Inference Demo "Hitting gate limit" HOT 2
- .
- inference speed on CPU
- Accelerated inference with TensorRT HOT 2
- Single word input leads to ValueError: Expected more than 1 spatial element when training, got input size torch.Size([1, 512, 1]) HOT 1
- Error on loading training model "_pickle.UnpicklingError: invalid load key, '<'"
- Custom trained model and dataset problem
- Index out of range for custom dataset.
- value error while training custom dataset
- TypeError: guvectorize() missing 1 required positional argument 'signature' HOT 1
- _pickle.UnpicklingError: invalid load key, '<'. in inference.py in colab HOT 3
- What's the filelist used to train LibriTTS2k pretrained embedding?
- Unable to train on custom data with multiple speakers HOT 6
- Which torch version to use?
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