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I'm training the GPT-SoVITS GPT S1 model on a new language. I've made the following modifications to support the new language:
Added new phonemes in symbol2.py
Extended the text embedding dimensio…
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### Reason/inspiration (optional)
"We would like a new term entry in the `AI` concept for [neural-network](https://www.codecademy.com/resources/docs/ai/neural-networks): Learning Rate Schedule. The…
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Experiment with various initial learning rates, and learning rate schedules
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In ConvTasNet paper on IEEE TASLP 2019, the model was trained with its learning rate halved when the validation loss doesn't decrease for 3 consecutive epochs. But in GC3TasNet paper, the learning rat…
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Dropbox / Google Drive are not available,please update the link.
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I am unclear on if this is possible at all. At the moment, I am running something like this:
```python
opt = torch.optim.Adam(model.parameters(), lr=1e-3)
lrs = torch.optim.lr_scheduler.StepLR(op…
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Thanks for sharing the code!
I've got some questions on FBPINN to solve nonlinear problem, the u solved with PINN contains multiple frequencies. Although FBPINN can cope well with high frequencies, …
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### 🚀 The feature, motivation and pitch
The torch trainer has LR scheduling. The flax trainer should as well.
### Alternatives
* None
### Additional context
The trainer takes an `lr_scheduler` ar…
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For now learning rate scheduling is implemented using the [LRScheduledModel](https://github.com/deepmipt/DeepPavlov/blob/613d265f7371ba05365a7d44485066293c169674/deeppavlov/core/models/lr_scheduled_mo…
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In contrast to A2C and A2C_ACKTR, PPO already includes a learning rate scheduling performed by Adam. In supervised learning it is debatable if one should use manual scheduling in combination with Adam…