Distill Whisper Call Center Afri
This model is a fine-tuned version of distil-whisper/distil-large-v3 on the www_call_center_english_merged_w_afrispeech dataset.
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0336 | 10 | 1.0218 | 27.3136 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.20.3
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Base model
distil-whisper/distil-large-v3