Distill Whisper Call Center T-forge
This model is a fine-tuned version of distil-whisper/distil-large-v3 on the www_call_center_english_merged_w_afrispeech dataset. It achieves the following results on the evaluation set:
- Loss: 1.7355
- Wer: 43.7896
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.861 | 0.6667 | 10 | 2.1178 | 52.0701 |
| 1.5498 | 1.3333 | 20 | 1.8199 | 48.1734 |
| 1.3036 | 2.0 | 30 | 1.7355 | 43.7896 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.20.3
- Downloads last month
- 4
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for Luandrie/_Whisper_Tforge_en_Cirlearning
Base model
distil-whisper/distil-large-v3Evaluation results
- Wer on www_call_center_english_merged_w_afrispeechself-reported43.790