Distill Whisper Call Center v2
This model is a fine-tuned version of distil-whisper/distil-large-v3 on the www_call_center_english dataset. It achieves the following results on the evaluation set:
- Loss: 0.2507
- Wer: 13.7504
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 |
|---|---|---|---|---|
| 0.2792 | 0.5189 | 1000 | 0.2849 | 15.3809 |
| 0.1748 | 1.0379 | 2000 | 0.2674 | 14.5346 |
| 0.1839 | 1.5568 | 3000 | 0.2581 | 14.1290 |
| 0.1227 | 2.0758 | 4000 | 0.2507 | 13.7504 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Jenalea/_Whisper_Call_Center_en_v2
Base model
distil-whisper/distil-large-v3