| --- |
| library_name: peft |
| language: |
| - ro |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - base_model:adapter:openai/whisper-small |
| - lora |
| - transformers |
| datasets: |
| - VladS159/romanian_speech_dataset_with_5_percent_synthetic_data |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Ro - PEFT |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Romanian Speech Dataset + 5% Synthetic |
| type: VladS159/romanian_speech_dataset_with_5_percent_synthetic_data |
| metrics: |
| - type: wer |
| value: 106.59810174871058 |
| name: Wer |
| --- |
| |
| <!-- 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 Ro - PEFT |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Romanian Speech Dataset + 5% Synthetic dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4248 |
| - Wer: 106.5981 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch_fused 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: 100 |
| - training_steps: 100 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 2.0921 | 0.0113 | 50 | 1.0811 | 95.9014 | |
| | 0.6328 | 0.0227 | 100 | 0.4248 | 106.5981 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.18.1.dev0 |
| - Transformers 4.57.1 |
| - Pytorch 2.9.1+rocm6.4 |
| - Datasets 3.6.0 |
| - Tokenizers 0.22.1 |
