Malaya-speech_fine-tune_MrBrown_15_Jun
This model is a fine-tuned version of malay-huggingface/wav2vec2-xls-r-300m-mixed on the uob_singlish dataset. It achieves the following results on the evaluation set:
- Loss: 0.4822
- Wer: 0.2449
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1607 | 5.26 | 200 | 0.3983 | 0.2381 |
| 0.5184 | 10.52 | 400 | 0.3256 | 0.2245 |
| 0.2993 | 15.78 | 600 | 0.3437 | 0.2426 |
| 0.2485 | 21.05 | 800 | 0.4547 | 0.2585 |
| 0.1917 | 26.31 | 1000 | 0.4598 | 0.2517 |
| 0.1586 | 31.57 | 1200 | 0.4050 | 0.2290 |
| 0.1486 | 36.83 | 1400 | 0.4186 | 0.2653 |
| 0.1307 | 42.1 | 1600 | 0.4284 | 0.2857 |
| 0.0895 | 47.36 | 1800 | 0.5158 | 0.2562 |
| 0.0526 | 52.62 | 2000 | 0.4525 | 0.2449 |
| 0.0553 | 57.88 | 2200 | 0.4364 | 0.2336 |
| 0.037 | 63.16 | 2400 | 0.3873 | 0.2449 |
| 0.0439 | 68.42 | 2600 | 0.3914 | 0.2404 |
| 0.0411 | 73.68 | 2800 | 0.4673 | 0.2494 |
| 0.0242 | 78.94 | 3000 | 0.4801 | 0.2426 |
| 0.0833 | 84.21 | 3200 | 0.4641 | 0.2630 |
| 0.034 | 89.47 | 3400 | 0.4607 | 0.2449 |
| 0.02 | 94.73 | 3600 | 0.4825 | 0.2449 |
| 0.0211 | 99.99 | 3800 | 0.4822 | 0.2449 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3