Luganda Whisper ASR
Collection
Luganda Speech To Text/ Automatic Speech Recognition
•
4 items
•
Updated
•
1
whisper-tiny-luganda-v2
This model is a fine-tuned version of openai/whisper-tiny on the None dataset.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 21000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for allandclive/whisper-tiny-luganda-v2
Base model
openai/whisper-tiny