pxaudio_ja_model
This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4151
- Wer: 781.0535
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3548 | 1.46 | 1000 | 0.4264 | 207.7824 |
| 0.2464 | 2.91 | 2000 | 0.4010 | 406.9152 |
| 0.1319 | 4.37 | 3000 | 0.4091 | 637.1775 |
| 0.1065 | 5.82 | 4000 | 0.4151 | 781.0535 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.2.0+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
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Model tree for hoangvanvietanh/pxaudio_ja_model
Base model
openai/whisper-base