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fine-tune-Wav2Vec2-XLS-R-300M-Indonesia-3
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2856
- Wer: 0.1931
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: 36
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.8503 | 4.0 | 460 | 1.2215 | 0.8013 |
| 0.2917 | 8.0 | 920 | 0.2824 | 0.3055 |
| 0.1487 | 12.0 | 1380 | 0.2719 | 0.2593 |
| 0.0904 | 16.0 | 1840 | 0.2536 | 0.2448 |
| 0.0741 | 20.0 | 2300 | 0.2620 | 0.2325 |
| 0.0635 | 24.0 | 2760 | 0.2953 | 0.2354 |
| 0.0541 | 28.0 | 3220 | 0.2683 | 0.2184 |
| 0.048 | 32.0 | 3680 | 0.2707 | 0.2097 |
| 0.0435 | 36.0 | 4140 | 0.2764 | 0.2111 |
| 0.0377 | 40.0 | 4600 | 0.2874 | 0.2048 |
| 0.0352 | 44.0 | 5060 | 0.2758 | 0.1999 |
| 0.0304 | 48.0 | 5520 | 0.2808 | 0.1969 |
| 0.0285 | 52.0 | 5980 | 0.2860 | 0.1943 |
| 0.0258 | 56.0 | 6440 | 0.2867 | 0.1943 |
| 0.0239 | 60.0 | 6900 | 0.2856 | 0.1931 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
