| --- |
| library_name: transformers |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-base.en |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Base English with Phone Control Data - Navin Kumar J |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Whisper Base English with Phone Control Data - Navin Kumar J |
|
|
| This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0160 |
| - Wer: 0.0076 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10 |
| - training_steps: 200 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 0.0438 | 0.9091 | 40 | 0.0600 | 0.0107 | |
| | 0.0 | 1.8182 | 80 | 0.0382 | 0.0092 | |
| | 0.0 | 2.7273 | 120 | 0.0248 | 0.0076 | |
| | 0.0 | 3.6364 | 160 | 0.0169 | 0.0076 | |
| | 0.0 | 4.5455 | 200 | 0.0160 | 0.0076 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
| |
