Whisper Base Fa - Mohammad Naseri
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3496
- Wer: 89.1311
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.2353 | 20 | 1.6727 | 96.9148 |
| 1.6442 | 0.4706 | 40 | 1.4761 | 95.6128 |
| 1.1055 | 0.7059 | 60 | 1.3970 | 93.4900 |
| 0.9619 | 0.9412 | 80 | 1.3604 | 89.7538 |
| 0.8024 | 1.1765 | 100 | 1.3496 | 89.1311 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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openai/whisper-base