checkPoints/whisper-tiny_child-10k_time-stretch
This model is a fine-tuned version of openai/whisper-tiny on the child-10k dataset.
- eval_loss: 0.015001855790615082,
- eval_cer: 0.7553184117524773,
- eval_wer: 1.6003657978966621,
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: 3.75e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for haseong8012/whisper-tiny_child-10k_time-stretch
Base model
openai/whisper-tiny