Whisper Small Persian

This model is a fine-tuned version of openai/whisper-small on the Common Voice 21.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3323
  • Wer: 31.9300

🧠 Model Details

  • Base model: openai/whisper-small
  • Fine-tuned on:
    • Common Voice 21 (Persian subset)
  • Language: Persian (fa)

πŸ§ͺ Evaluation

Metric Value
WER 31.93%

πŸ“¦ Usage

from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="aliyzd95/whisper-small-persian-v1")

result = pipe("your-audio.wav")
print(result["text"])

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 4e-05
  • train_batch_size: 8
  • gradient_accumulation_steps: 2
  • 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: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.53.0.dev0
  • Pytorch 2.7.1+cu128
  • Datasets 3.6.0
  • Tokenizers 0.21.1
Downloads last month
48
Safetensors
Model size
242M params
Tensor type
F32
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for aliyzd95/whisper-small-persian-v1

Finetuned
(2788)
this model

Dataset used to train aliyzd95/whisper-small-persian-v1

Evaluation results