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metadata
library_name: transformers
language:
  - ar
license: apache-2.0
base_model: openai/whisper-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper base AR - BA
    results: []

Whisper base AR - BA

This model is a fine-tuned version of openai/whisper-base on the quran-ayat-speech-to-text dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0037
  • Wer: 0.0550
  • Cer: 0.0222

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: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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: 25
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0049 1.0 282 0.0037 0.0498 0.0180
0.0031 2.0 564 0.0042 0.0525 0.0202
0.0015 3.0 846 0.0049 0.0568 0.0226
0.0012 4.0 1128 0.0058 0.0590 0.0229
0.0008 5.0 1410 0.0057 0.0635 0.0243
0.0007 6.0 1692 0.0063 0.0639 0.0223
0.0005 7.0 1974 0.0067 0.0610 0.0237
0.0005 8.0 2256 0.0070 0.0612 0.0232
0.0003 9.0 2538 0.0073 0.0626 0.0243
0.0003 10.0 2820 0.0080 0.0643 0.0239
0.0003 11.0 3102 0.0088 0.0635 0.0237
0.0003 12.0 3384 0.0087 0.0605 0.0231
0.0002 13.0 3666 0.0092 0.0612 0.0239
0.0002 14.0 3948 0.0104 0.0610 0.0226
0.0001 15.0 4230 0.0105 0.0543 0.0194
0.0001 16.0 4512 0.0111 0.0568 0.0216
0.0 17.0 4794 0.0124 0.0556 0.0206
0.0001 18.0 5076 0.0128 0.0539 0.0210
0.0 19.0 5358 0.0130 0.0530 0.0201
0.0 20.0 5640 0.0130 0.0539 0.0197
0.0 21.0 5922 0.0129 0.0536 0.0202
0.0 22.0 6204 0.0130 0.0541 0.0208
0.0 23.0 6486 0.0130 0.0547 0.0211
0.0 24.0 6768 0.0129 0.0605 0.0246
0.0 24.9130 7025 0.0130 0.0547 0.0210

Framework versions

  • Transformers 4.51.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.0