whisper-hakka-small-1
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6134
- Cer: 839.6261
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: 500
- training_steps: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1701 | 0.78 | 1000 | 0.3828 | 52.2939 |
| 0.0764 | 1.55 | 2000 | 0.3519 | 36.2758 |
| 0.0277 | 2.33 | 3000 | 0.3274 | 40.2633 |
| 0.013 | 3.1 | 4000 | 0.4307 | 112.1952 |
| 0.0092 | 3.88 | 5000 | 0.4454 | 37.3418 |
| 0.007 | 4.66 | 6000 | 0.4402 | 70.9902 |
| 0.0036 | 5.43 | 7000 | 0.4313 | 77.5403 |
| 0.0035 | 6.21 | 8000 | 0.5371 | 104.9887 |
| 0.0038 | 6.98 | 9000 | 0.5463 | 185.2789 |
| 0.0018 | 7.76 | 10000 | 0.5453 | 184.7941 |
| 0.0011 | 8.54 | 11000 | 0.5113 | 213.0442 |
| 0.0012 | 9.31 | 12000 | 0.6346 | 402.5504 |
| 0.0005 | 10.09 | 13000 | 0.5790 | 399.8495 |
| 0.0002 | 10.87 | 14000 | 0.5790 | 491.2496 |
| 0.0003 | 11.64 | 15000 | 0.6038 | 652.7718 |
| 0.0001 | 12.42 | 16000 | 0.6070 | 814.4883 |
| 0.0001 | 13.19 | 17000 | 0.6078 | 801.3233 |
| 0.0001 | 13.97 | 18000 | 0.6068 | 772.7599 |
| 0.0001 | 14.75 | 19000 | 0.6160 | 802.9302 |
| 0.0001 | 15.52 | 20000 | 0.6134 | 839.6261 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.15.0