English_ASR
This model is a fine-tuned version of openai/whisper-medium on the misc_naija_english dataset. It achieves the following results on the evaluation set:
- Loss: 0.0069
- Wer: 21.3403
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: 8
- 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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0206 | 2.9762 | 1000 | 0.0069 | 21.3403 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for EYEDOL/english-ASR
Dataset used to train EYEDOL/english-ASR
Evaluation results
- Wer on misc_naija_englishself-reported21.340