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metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
  - generated_from_trainer
datasets:
  - razhan/DOLMA-speech
metrics:
  - bleu
model-index:
  - name: whisper-base-hawrami
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: razhan/DOLMA-speech hawrami
          type: razhan/DOLMA-speech
          args: hawrami
        metrics:
          - name: Bleu
            type: bleu
            value: 0.403603847823992

whisper-base-hawrami

This model is a fine-tuned version of openai/whisper-base on the razhan/DOLMA-speech hawrami dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0851
  • Chrf: 13.3279
  • Bleu: 0.4036

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: 256
  • eval_batch_size: 128
  • seed: 42
  • 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: 100
  • num_epochs: 4.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Chrf Bleu
4.056 1.0 40 3.7037 12.1151 0.0829
3.4175 2.0 80 3.2226 11.2675 0.1153
3.1704 3.0 120 3.1141 12.9709 0.2803
3.0286 4.0 160 3.0851 13.3279 0.4036

Framework versions

  • Transformers 4.49.0.dev0
  • Pytorch 2.6.0+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0