Whisper Base Shona + Tshivenda Pilot
This model is a fine-tuned version of openai/whisper-base on the Cleaned WAXAL Shona and the Swivuriso Tshivenda datasets. It achieves the following results on the evaluation set:
- eval_loss: 0.6685
- eval_wer: 56.4808
- eval_shona_wer: 36.8120
- eval_shona_loss: 0.4379
- eval_tshivenda_wer: 76.1495
- eval_tshivenda_loss: 0.8991
- epoch: 8.8183
- step: 20000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 20000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 5.15.0
- Pytorch 2.13.0+cu130
- Datasets 5.0.1
- Tokenizers 0.22.2
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openai/whisper-base