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By: Kushtrim Visoka • 9 items • Updated • 6
How to use Kushtrim/speecht5_finetuned_cv_sq with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="Kushtrim/speecht5_finetuned_cv_sq") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("Kushtrim/speecht5_finetuned_cv_sq")
model = AutoModelForTextToSpectrogram.from_pretrained("Kushtrim/speecht5_finetuned_cv_sq")This model is a fine-tuned version of microsoft/speecht5_tts on an unknown 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 |
|---|---|---|---|
| 0.5899 | 9.3787 | 1000 | 0.5392 |
| 0.5424 | 18.7573 | 2000 | 0.5075 |
| 0.531 | 28.1360 | 3000 | 0.4995 |
| 0.5359 | 37.5147 | 4000 | 0.4970 |
Base model
microsoft/speecht5_tts