Whisper Small PS - CV20-2
This model is a fine-tuned version of ihanif/whisper-small-tunning-v2 on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5003
- eval_wer_ortho: 50.2740
- eval_wer: 47.0378
- eval_runtime: 854.5233
- eval_samples_per_second: 3.278
- eval_steps_per_second: 0.051
- epoch: 0.5128
- step: 400
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use 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_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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