whisper-small-mongolian
- eval_loss: 0.0255
- eval_wer: 3.9864
- eval_runtime: 1588.8988
- eval_samples_per_second: 1.17
- eval_steps_per_second: 0.147
- epoch: 2.3112
- step: 1500
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- 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: 1000
- training_steps: 3000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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