speech to text
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Speech to text models
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Breeze DSW Indonesian - base
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common_voice_16_0 id dataset. It achieves the following results on the evaluation set:
- Loss: 0.5347
- Wer: 32.8273
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: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|
| 0.5452 | 1.02 | 200 | 0.5464 | 35.1688 |
| 0.3445 | 2.04 | 400 | 0.5405 | 34.0694 |
| 0.1397 | 3.07 | 600 | 0.5347 | 32.8273 |
| 0.0988 | 5.01 | 800 | 0.5654 | 35.6749 |
| 0.077 | 6.03 | 1000 | 0.5786 | 33.9452 |
| 0.0338 | 7.05 | 1200 | 0.6050 | 33.9820 |
| 0.0137 | 8.08 | 1400 | 0.6221 | 34.1016 |
| 0.0153 | 10.02 | 1600 | 0.6431 | 33.9038 |
| 0.0125 | 11.04 | 1800 | 0.6514 | 33.7520 |
| 0.0092 | 12.06 | 2000 | 0.6528 | 33.8256 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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Model tree for simpragma/breeze-listen-dsw-base-id
Base model
openai/whisper-baseDataset used to train simpragma/breeze-listen-dsw-base-id
Collection including simpragma/breeze-listen-dsw-base-id
Evaluation results
- Wer on mozilla-foundation/common_voice_16_0 idtest set self-reported32.827