facebook/voxpopuli
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How to use vsisik/speecht5_tts_SK_v2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="vsisik/speecht5_tts_SK_v2") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("vsisik/speecht5_tts_SK_v2")
model = AutoModelForTextToSpectrogram.from_pretrained("vsisik/speecht5_tts_SK_v2")This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5379 | 4.0 | 500 | 0.4771 |
| 0.4972 | 8.0 | 1000 | 0.4526 |
| 0.4854 | 12.0 | 1500 | 0.4409 |
| 0.4746 | 16.0 | 2000 | 0.4375 |
| 0.4733 | 20.0 | 2500 | 0.4335 |
| 0.4673 | 24.0 | 3000 | 0.4313 |
| 0.4577 | 28.0 | 3500 | 0.4306 |
| 0.4662 | 32.0 | 4000 | 0.4301 |
Base model
microsoft/speecht5_tts