wav2vec2-large-xlsr-uzbek_STT_2
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0329
- 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.5753 | 1.5385 | 100 | 4.9307 | 1.0 |
| 3.3067 | 3.0769 | 200 | 3.1731 | 1.0 |
| 3.1873 | 4.6154 | 300 | 3.1501 | 1.0 |
| 3.0199 | 6.1538 | 400 | 3.1229 | 1.0 |
| 3.0605 | 7.6923 | 500 | 3.0468 | 1.0 |
| 3.0454 | 9.2308 | 600 | 3.0329 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0