Whisper Small CKB - FLEURS
This model is a fine-tuned version of openai/whisper-small on the Google FLEURS dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 2.19.0
- Tokenizers 0.22.1
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Model tree for Qulabarzi21/whisper-small-ckb-fleurs
Base model
openai/whisper-small