whisper-tiny-mulamu-asr
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9412
- Wer: 112.3726
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: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.2700 | 0.8365 | 500 | 1.3158 | 105.1321 |
| 4.0214 | 1.6725 | 1000 | 1.0346 | 110.7815 |
| 3.4754 | 2.5086 | 1500 | 0.9527 | 109.4378 |
| 3.4146 | 3.0 | 1794 | 0.9412 | 112.3726 |
Framework versions
- Transformers 5.7.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
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Model tree for kuyesu22/whisper-tiny-mulamu-asr
Base model
openai/whisper-tiny