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faiq-wav2vec2-large-xlsr-indo-demo-rtx4090-batch32
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3705
- Wer: 0.4296
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|
| 4.559 | 5.84 | 400 | 2.8099 | 1.0 |
| 0.9265 | 11.68 | 800 | 0.3847 | 0.5260 |
| 0.2592 | 17.52 | 1200 | 0.3658 | 0.4685 |
| 0.176 | 23.36 | 1600 | 0.3862 | 0.4422 |
| 0.1451 | 29.2 | 2000 | 0.3705 | 0.4296 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.6.1
- Tokenizers 0.13.3
