ASR_Germen_Wav2Vec2_Local_Train
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3619
- Per: 0.1676
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 300
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| 0.6277 | 0.1630 | 3000 | 0.5961 | 0.2501 |
| 0.445 | 0.3259 | 6000 | 0.4649 | 0.2070 |
| 0.3751 | 0.4889 | 9000 | 0.4084 | 0.1818 |
| 0.4281 | 0.6518 | 12000 | 0.3907 | 0.1792 |
| 0.3835 | 0.8148 | 15000 | 0.3619 | 0.1676 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.9.0+cu130
- Datasets 2.18.0
- Tokenizers 0.22.1