Whisper Small en - Sukey XU
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8905
- Wer: 24.3894
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.009 | 10.3627 | 1000 | 0.7227 | 24.1218 |
| 0.0001 | 20.7254 | 2000 | 0.8305 | 24.2891 |
| 0.0001 | 31.0881 | 3000 | 0.8634 | 24.6236 |
| 0.0001 | 41.4508 | 4000 | 0.8828 | 24.4229 |
| 0.0 | 51.8135 | 5000 | 0.8905 | 24.3894 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
openai/whisper-small