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wav2vec2-large-xlsr-53-Bengali
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: 0.4707
- Wer: 0.5156
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: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.5484 | 2.85 | 500 | 1.6415 | 1.0493 |
| 0.8446 | 5.71 | 1000 | 0.5394 | 0.6886 |
| 0.4604 | 8.57 | 1500 | 0.4741 | 0.6090 |
| 0.3466 | 11.43 | 2000 | 0.4685 | 0.5788 |
| 0.2707 | 14.28 | 2500 | 0.4741 | 0.5449 |
| 0.2317 | 17.14 | 3000 | 0.4661 | 0.5157 |
| 0.2024 | 20.0 | 3500 | 0.4707 | 0.5156 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
