| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-small.en |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: 2026-02-03_18-23-36 |
| 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. --> |
|
|
| # 2026-02-03_18-23-36 |
| |
| This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1047 |
| - Wer: 11.3055 |
| |
| ## 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: 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: 500 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 2.1664 | 0.1123 | 500 | 1.2593 | 13.2340 | |
| | 1.1469 | 0.2247 | 1000 | 1.1781 | 11.9997 | |
| | 1.1 | 0.3370 | 1500 | 1.1463 | 11.7543 | |
| | 1.0623 | 0.4493 | 2000 | 1.1338 | 11.6869 | |
| | 1.0446 | 0.5617 | 2500 | 1.1211 | 11.5059 | |
| | 1.0408 | 0.6740 | 3000 | 1.1142 | 11.6748 | |
| | 1.0323 | 0.7863 | 3500 | 1.1078 | 11.4361 | |
| | 1.0203 | 0.8987 | 4000 | 1.1047 | 11.3055 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
|
|
