Model Card for unphonemizer-gpt2
This model was pretrained on a phonemized dataset from distil-whisper/whisper_transcriptions using the GPT-2 architecture to un-phonemize the phonemes.
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
Uses
Direct Use
Translates a sequence of phonemes into english text.
How to Get Started with the Model
To use the model, input the <s> token, than the phonemized text, than the seperator |. The model will then predict the english text following the '|' seperator.
For example, to un-phonemize ˈeɪthˈʌndɹɪd nˈaɪnti sˈɪks (896), input to the model <s>ˈeɪthˈʌndɹɪd nˈaɪnti sˈɪks| and it will predict 896 following the '|'
Use the code below to get started with the model.
Training Details
Training Data
[More Information Needed]
Training Procedure
GPT-2 architecture was trained directly on the data from the dataset. A custom loss function was used to only train the model on the english side; no loss is added for how it predicts the phonemes.
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
