metadata

language:
  - ckb
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
metrics:
  - wer
model-index:
  - name: Whisper Tiny for Central Kurdish (Soranî) - Rizgan Gerdenzerî
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 17.0
          type: mozilla-foundation/common_voice_17_0
          config: ckb
          split: None
          args: 'config: ckb, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 58.49012852789188

Whisper Tiny for Central Kurdish (Soranî) - Rizgan Gerdenzerî

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3716
Wer: 58.4901

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3783	1.2330	1000	0.4454	66.8478
0.2803	2.4661	2000	0.3868	60.8122
0.2231	3.6991	3000	0.3738	58.7816
0.2016	4.9322	4000	0.3716	58.4901

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1