whisper-tiny-smarthome-th
This model is a fine-tuned version of openai/whisper-tiny on the processed-smarthome-th dataset. It achieves the following results on the evaluation set:
- Loss: 0.0546
- Wer: 24.375
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: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0072 | 4.1667 | 500 | 0.0546 | 24.375 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Porameht/whisper-tiny-smarthome-thai
Base model
openai/whisper-tinyDataset used to train Porameht/whisper-tiny-smarthome-thai
Evaluation results
- Wer on processed-smarthome-thself-reported24.375