Whisper Small My - Ye Bhone Lin
This model is a fine-tuned version of openai/whisper-small on the openai-whisper-SLR dataset. It achieves the following results on the evaluation set:
- Loss: 0.2066
- Wer: 78.2715
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: 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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0386 | 7.8740 | 1000 | 0.1604 | 94.4679 |
0.0006 | 15.7480 | 2000 | 0.2066 | 78.2715 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
openai/whisper-small