whisper-small-ko-E30_Yspeed-SA
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: 0.1874
- Cer: 5.3630
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 |
---|---|---|---|---|
0.5134 | 0.13 | 100 | 0.2997 | 6.6729 |
0.3347 | 0.26 | 200 | 0.2301 | 6.0679 |
0.2711 | 0.39 | 300 | 0.2289 | 6.4086 |
0.2412 | 0.52 | 400 | 0.2138 | 5.8447 |
0.2162 | 0.64 | 500 | 0.2102 | 5.7566 |
0.2095 | 0.77 | 600 | 0.2035 | 5.6978 |
0.2035 | 0.9 | 700 | 0.2011 | 5.3395 |
0.128 | 1.03 | 800 | 0.1937 | 5.3571 |
0.1189 | 1.16 | 900 | 0.1932 | 5.2514 |
0.1155 | 1.29 | 1000 | 0.1924 | 5.3336 |
0.105 | 1.42 | 1100 | 0.1928 | 5.2338 |
0.1119 | 1.55 | 1200 | 0.1896 | 5.5216 |
0.1164 | 1.68 | 1300 | 0.1893 | 5.2867 |
0.1036 | 1.81 | 1400 | 0.1884 | 5.3043 |
0.1042 | 1.93 | 1500 | 0.1874 | 5.3630 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 4