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wav2vec2_Indonesia_4
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.3147
- Wer: 0.5914
Model description
Model yang dilatih dengan data train common voice dan data test data perkuliahan
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9949 | 3.23 | 400 | 1.3340 | 0.8916 |
| 0.4469 | 6.45 | 800 | 1.0507 | 0.6859 |
| 0.2003 | 9.68 | 1200 | 1.1115 | 0.6369 |
| 0.1432 | 12.9 | 1600 | 1.1307 | 0.6297 |
| 0.1138 | 16.13 | 2000 | 1.2157 | 0.6369 |
| 0.089 | 19.35 | 2400 | 1.2834 | 0.6058 |
| 0.0712 | 22.58 | 2800 | 1.3283 | 0.5947 |
| 0.057 | 25.81 | 3200 | 1.3345 | 0.5827 |
| 0.0467 | 29.03 | 3600 | 1.3147 | 0.5914 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
