whisper-large-v3-polish-impaired
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5641
- Wer: 83.0040
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: 1e-05
- train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 50
- training_steps: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.239 | 0.05 | 1 | 2.7489 | 84.5850 |
1.8286 | 0.1 | 2 | 2.7304 | 84.5850 |
2.1458 | 0.15 | 3 | 2.6956 | 84.5850 |
2.5037 | 0.2 | 4 | 2.6399 | 83.3992 |
2.5533 | 0.25 | 5 | 2.5641 | 83.0040 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
openai/whisper-large-v3