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Whisper medium Fa - SRezaS
This model is a fine-tuned version of openai/whisper-medium on the Persian Custom Split Common Voice 17.0 + Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.1636
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: 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: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1791 | 1.0 | 4230 | 0.1811 |
| 0.1304 | 1.9996 | 8458 | 0.1636 |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Base model
openai/whisper-medium