whisper-small-ko-E30_Yspeed
This model is a fine-tuned version of openai/whisper-small on the aihub adult speed changed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1865
- Cer: 5.1516
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
0.3992 | 0.13 | 100 | 0.2679 | 6.4380 |
0.2452 | 0.26 | 200 | 0.2271 | 6.2559 |
0.224 | 0.39 | 300 | 0.2268 | 6.4615 |
0.1934 | 0.52 | 400 | 0.2142 | 6.2030 |
0.1695 | 0.64 | 500 | 0.2103 | 5.7742 |
0.1568 | 0.77 | 600 | 0.2028 | 5.4746 |
0.1577 | 0.9 | 700 | 0.1995 | 5.6508 |
0.0744 | 1.03 | 800 | 0.1907 | 5.2808 |
0.066 | 1.16 | 900 | 0.1941 | 5.3513 |
0.0622 | 1.29 | 1000 | 0.1907 | 5.4453 |
0.0579 | 1.42 | 1100 | 0.1922 | 5.3806 |
0.0573 | 1.55 | 1200 | 0.1884 | 5.1398 |
0.0595 | 1.68 | 1300 | 0.1877 | 5.1574 |
0.0571 | 1.81 | 1400 | 0.1872 | 5.1339 |
0.0599 | 1.93 | 1500 | 0.1865 | 5.1516 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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