Whisper Tiny.en - genevera
This model is a fine-tuned version of openai/whisper-tiny.en on the Common Voice 11.0 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 2.1.0.dev20230303
- Datasets 2.10.1
- Tokenizers 0.13.2
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