| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: openai/whisper-tiny |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-tiny-ml |
| | 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-tiny-ml |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2092 |
| | - Wer: 79.8896 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - 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: 5000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | | 1.4609 | 1.0316 | 500 | 1.1205 | 132.1684 | |
| | | 0.9694 | 2.0632 | 1000 | 0.7589 | 100.8175 | |
| | | 0.4373 | 4.0264 | 1500 | 0.2443 | 90.7214 | |
| | | 0.2336 | 5.058 | 2000 | 0.2078 | 84.0997 | |
| | | 0.1689 | 7.0212 | 2500 | 0.1942 | 79.9714 | |
| | | 0.1322 | 8.0528 | 3000 | 0.1992 | 79.7466 | |
| | | 0.1063 | 10.016 | 3500 | 0.2044 | 80.4210 | |
| | | 0.0892 | 11.0476 | 4000 | 0.2040 | 78.7247 | |
| | | 0.0755 | 13.0108 | 4500 | 0.2106 | 79.9918 | |
| | | 0.0672 | 14.0424 | 5000 | 0.2092 | 79.8896 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.50.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
| |
|
