| --- |
| library_name: transformers |
| language: |
| - ps |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ihanif/common_voice_ps_20_0 |
| model-index: |
| - name: Whisper small Ps - ZFA |
| 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 small Ps - ZFA |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 20.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8066 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 1.7874 | 0.1856 | 500 | 1.3995 | |
| | 1.3066 | 0.3712 | 1000 | 1.2622 | |
| | 1.1437 | 0.5568 | 1500 | 1.1273 | |
| | 1.0676 | 0.7424 | 2000 | 1.0547 | |
| | 1.0014 | 0.9280 | 2500 | 0.9770 | |
| | 0.7683 | 1.1136 | 3000 | 0.9779 | |
| | 0.6386 | 1.2992 | 3500 | 0.9486 | |
| | 0.6103 | 1.4848 | 4000 | 0.9071 | |
| | 0.599 | 1.6704 | 4500 | 0.8748 | |
| | 0.5665 | 1.8560 | 5000 | 0.8525 | |
| | 0.5032 | 2.0416 | 5500 | 0.8532 | |
| | 0.2884 | 2.2272 | 6000 | 0.8503 | |
| | 0.269 | 2.4128 | 6500 | 0.8316 | |
| | 0.2784 | 2.5984 | 7000 | 0.8137 | |
| | 0.236 | 2.7840 | 7500 | 0.8227 | |
| | 0.2543 | 2.9696 | 8000 | 0.8066 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.56.2 |
| - Pytorch 2.7.0+cu126 |
| - Datasets 4.1.1 |
| - Tokenizers 0.22.0 |
|
|
