Whisper Small MN - Otgonbaatar
This model is a fine-tuned version of bayartsogt/whisper-small-mn-8 on the Common Voice 11.0 dataset.
Model description
More information needed
Intended uses & limitations
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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: 16
- eval_batch_size: 8
- seed: 42
- 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: 300
- training_steps: 300
Framework versions
- Transformers 4.26.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.21.0
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Model tree for Otgonbaatar/whisper-small-mongolian-3
Base model
bayartsogt/whisper-small-mn-8