whisper-small-fa-2 / README.md
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metadata
language:
  - fa
license: apache-2.0
base_model: openai/whisper-small
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_0
metrics:
  - wer
model-index:
  - name: Whisper Small Persian Iranian
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_16_0 fa
          type: mozilla-foundation/common_voice_16_0
          config: fa
          split: test
          args: fa
        metrics:
          - name: Wer
            type: wer
            value: 39.72011741415796

Whisper Small Persian Iranian

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_16_0 fa dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4858
  • Wer: 39.7201

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-06
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4531 1.03 500 0.6448 50.7393
0.4031 3.0 1000 0.5755 46.5001
0.2745 4.04 1500 0.5389 43.7190
0.336 6.0 2000 0.5166 42.4056
0.2429 7.04 2500 0.5045 41.1810
0.2852 9.01 3000 0.4941 40.6444
0.2217 10.04 3500 0.4888 40.1106
0.2384 12.01 4000 0.4873 39.9208
0.1889 13.04 4500 0.4858 39.7201
0.2202 15.01 5000 0.4888 39.7228

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.2.dev0
  • Tokenizers 0.15.0