facebook/voxpopuli
Viewer โข Updated โข 1.26M โข 19k โข 152
How to use agercas/speecht5_finetuned_voxpopuli_lt with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="agercas/speecht5_finetuned_voxpopuli_lt") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("agercas/speecht5_finetuned_voxpopuli_lt")
model = AutoModelForTextToSpectrogram.from_pretrained("agercas/speecht5_finetuned_voxpopuli_lt")This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4877 | 103.9 | 1000 | 0.4923 |
| 0.458 | 207.79 | 2000 | 0.5039 |
| 0.4439 | 311.69 | 3000 | 0.4976 |
| 0.4407 | 415.58 | 4000 | 0.5034 |