whisper-base-ru
This model is a fine-tuned version of ovsyannikovls/whisper-base-ru on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4816
- Model Preparation Time: 0.0058
- Wer: 33.1041
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|
| 0.7825 | 0.7752 | 300 | 0.7634 | 0.0058 | 46.2482 |
| 0.6010 | 1.5504 | 600 | 0.6149 | 0.0058 | 39.2065 |
| 0.4511 | 2.3256 | 900 | 0.5522 | 0.0058 | 37.9747 |
| 0.3867 | 3.1008 | 1200 | 0.5185 | 0.0058 | 35.1365 |
| 0.3590 | 3.8760 | 1500 | 0.4979 | 0.0058 | 34.2640 |
| 0.3290 | 4.6512 | 1800 | 0.4875 | 0.0058 | 33.8945 |
| 0.3170 | 5.4264 | 2100 | 0.4830 | 0.0058 | 33.5609 |
| 0.3134 | 6.0 | 2322 | 0.4816 | 0.0058 | 33.1041 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2