wav2vec2-btb-cv-ft-btb-cy
| Property | Value |
|---|---|
| Parameter Count | 315M |
| License | Apache 2.0 |
| Tensor Type | F32 |
| Best WER | 34.02% |
What is wav2vec2-btb-cv-ft-btb-cy?
wav2vec2-btb-cv-ft-btb-cy is an advanced speech recognition model specifically designed for the Welsh language. It's built upon the wav2vec2-xlsr-53 architecture and has been fine-tuned using Welsh language data. With 315M parameters, this model represents a significant advancement in Welsh language processing capabilities.
Implementation Details
The model was trained using a carefully crafted procedure with Adam optimizer, utilizing a linear learning rate scheduler with 1000 warmup steps. Training was conducted over 10,000 steps with mixed precision training using Native AMP.
- Learning Rate: 0.0003
- Batch Size: 4 (training) / 64 (evaluation)
- Training Steps: 10,000
- Warmup Steps: 1,000
Core Capabilities
- Automatic Speech Recognition for Welsh
- Word Error Rate of 34.02%
- Native mixed precision training support
- Optimized for production environments
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically optimized for Welsh language speech recognition, showing significant improvement in WER from 55.92% at the start of training to 34.02% in the final iteration, making it particularly valuable for Welsh language processing tasks.
Q: What are the recommended use cases?
The model is ideal for Welsh language speech recognition tasks, including transcription services, voice command systems, and automated subtitling for Welsh content. It's particularly suitable for applications requiring reliable Welsh speech processing capabilities.
