| --- |
| library_name: peft |
| language: |
| - nl |
| license: apache-2.0 |
| base_model: openai/whisper-large-v2 |
| tags: |
| - base_model:adapter:openai/whisper-large-v2 |
| - lora |
| - transformers |
| datasets: |
| - jasmin |
| - jasmin-cgn |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-new-nnat-10h-caps-ecapa |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: JASMIN-CGN |
| type: jasmin |
| metrics: |
| - type: wer |
| value: 21.692502224511777 |
| 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-new-nnat-10h-caps-ecapa |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the JASMIN-CGN dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4781 |
| - Wer: 21.6925 |
|
|
| ## 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: 48 |
| - eval_batch_size: 32 |
| - 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: 59 |
| - num_epochs: 3.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 1.4332 | 0.2995 | 59 | 0.6828 | 31.1806 | |
| | 0.4937 | 0.5990 | 118 | 0.5383 | 23.9873 | |
| | 0.3968 | 0.8985 | 177 | 0.5136 | 23.0366 | |
| | 0.402 | 1.1980 | 236 | 0.5016 | 22.7369 | |
| | 0.3518 | 1.4975 | 295 | 0.4921 | 21.8517 | |
| | 0.3556 | 1.7970 | 354 | 0.4859 | 22.0344 | |
| | 0.3345 | 2.0964 | 413 | 0.4839 | 21.9313 | |
| | 0.3128 | 2.3959 | 472 | 0.4810 | 21.9220 | |
| | 0.3074 | 2.6954 | 531 | 0.4791 | 21.7253 | |
| | 0.3198 | 2.9949 | 590 | 0.4781 | 21.6925 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.17.1 |
| - Transformers 4.57.6 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
