deepdml/whisper-small-ig-mix

Whisper Small ig

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

• Loss: 1.5879
• Wer: 46.1037

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: 64
• 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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1171	0.2	1000	1.2732	44.9937
0.028	1.0814	2000	1.4495	46.2251
0.0277	1.2814	3000	1.4894	45.3892
0.0084	2.1628	4000	1.5629	44.6881
0.0065	3.0442	5000	1.5879	46.1037

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1

Citation

@misc{deepdml/whisper-small-ig-mix,
      title={Fine-tuned Whisper small ASR model for speech recognition in Igbo},
      author={Jimenez, David},
      howpublished={\url{https://huggingface.co/deepdml/whisper-small-ig-mix}},
      year={2025}
    }