Kammi
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the BilalS96/Commonvoice-kazakh dataset. It achieves the following results on the evaluation set:
- Loss: 3.2424
- Wer: 1.0
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.7719 | 4.3860 | 500 | 3.2418 | 1.0 |
| 3.2332 | 8.7719 | 1000 | 3.2473 | 1.0 |
| 3.2332 | 13.1579 | 1500 | 3.2480 | 1.0 |
| 3.227 | 17.5439 | 2000 | 3.2337 | 1.0 |
| 3.2218 | 21.9298 | 2500 | 3.2342 | 1.0 |
| 3.2361 | 26.3158 | 3000 | 3.2424 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for BilalS96/commonvoice-wav2vec2-base
Base model
facebook/wav2vec2-large-xlsr-53