Upload StyleTTS2 checkpoint epoch_2nd_00004.pth with all inference components
Browse files- README.md +2 -2
- bert.pth +1 -1
- bert_encoder.pth +1 -1
- checkpoint.pth +1 -1
- config.json +17 -17
- decoder.pth +1 -1
- mpd.pth +1 -1
- msd.pth +1 -1
- predictor.pth +1 -1
- predictor_encoder.pth +1 -1
- style_encoder.pth +1 -1
- text_aligner.pth +1 -1
- text_encoder.pth +1 -1
- training_metrics.png +0 -0
README.md
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@@ -23,9 +23,9 @@ This model is a fine-tuned version of StyleTTS2, containing all necessary compon
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- **Completed Epochs:** 4
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- **Total Iterations:** 1695
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- **Batch Size:** 2
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- **Max Length:**
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- **Learning Rate:** 0.0001
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- **Final Validation Loss:** 0.
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## Model Components
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The repository includes all necessary components for inference:
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- **Completed Epochs:** 4
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- **Total Iterations:** 1695
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- **Batch Size:** 2
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- **Max Length:** 650
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- **Learning Rate:** 0.0001
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- **Final Validation Loss:** 0.378118
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## Model Components
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The repository includes all necessary components for inference:
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bert.pth
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bert_encoder.pth
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checkpoint.pth
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config.json
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"training_config": {
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"epochs": 5,
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"batch_size": 2,
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"max_len":
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"optimizer": {
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"bert_lr": 1e-05,
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"ft_lr": 0.0001,
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"model_state": {
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"epoch": 4,
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"iterations": 1695,
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"val_loss": 0.
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"training_metrics": {
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"train_loss": [],
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"val_loss": [
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"dur_loss": [
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"F0_loss": [
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"epochs": [
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"training_config": {
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"epochs": 5,
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"batch_size": 2,
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"max_len": 650,
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"optimizer": {
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"bert_lr": 1e-05,
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"ft_lr": 0.0001,
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"model_state": {
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"epoch": 4,
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"iterations": 1695,
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"val_loss": 0.37811824679374695
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"training_metrics": {
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"train_loss": [],
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"val_loss": [
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52.0,
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33.0,
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32.0,
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43.0,
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5.0
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"dur_loss": [
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0.378
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"F0_loss": [
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4.094,
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3.98,
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4.119,
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4.047
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"epochs": [
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decoder.pth
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mpd.pth
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predictor.pth
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predictor_encoder.pth
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style_encoder.pth
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text_aligner.pth
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text_encoder.pth
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training_metrics.png
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