facebook/multilingual_librispeech
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How to use kinkpunk/speecht5_finetuned_librispeech_pl with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="kinkpunk/speecht5_finetuned_librispeech_pl") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("kinkpunk/speecht5_finetuned_librispeech_pl")
model = AutoModelForTextToSpectrogram.from_pretrained("kinkpunk/speecht5_finetuned_librispeech_pl")This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/multilingual_librispeech 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 |
|---|---|---|---|
| 0.4341 | 3.75 | 1000 | 0.3954 |
| 0.4166 | 7.5 | 2000 | 0.3866 |
| 0.4132 | 11.25 | 3000 | 0.3805 |
| 0.4078 | 15.0 | 4000 | 0.3790 |
Base model
microsoft/speecht5_tts