Whisper Tiny khm - Dynann
This model is a fine-tuned version of openai/whisper-tiny on the Khmer Male V2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3435
- eval_wer: 70.9467
- eval_runtime: 110.956
- eval_samples_per_second: 2.623
- eval_steps_per_second: 0.333
- epoch: 12.2324
- 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 80
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.19.1
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Model tree for dynann/whisper-small-kh
Base model
openai/whisper-tiny