whisper-small-kn
This model is a fine-tuned version of ShimogaAIteam/whisper-small-kn-conversation on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3241
- eval_wer: 65.9127
- eval_runtime: 977.4817
- eval_samples_per_second: 1.023
- eval_steps_per_second: 0.064
- epoch: 3.2
- step: 4000
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: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.52.0
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.21.2
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