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
