| --- |
| 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-maxcos-ecapa |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: JASMIN-CGN |
| type: jasmin |
| metrics: |
| - type: wer |
| value: 26.431883107760036 |
| 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-maxcos-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: 0.5305 |
| - Wer: 26.4319 |
|
|
| ## 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: 91 |
| - num_epochs: 3.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.6936 | 0.2984 | 91 | 0.6340 | 45.6095 | |
| | 0.3958 | 0.5967 | 182 | 0.5687 | 33.3396 | |
| | 0.3687 | 0.8951 | 273 | 0.5474 | 28.3426 | |
| | 0.3232 | 1.1934 | 364 | 0.5466 | 29.8319 | |
| | 0.2992 | 1.4918 | 455 | 0.5458 | 27.5371 | |
| | 0.3277 | 1.7902 | 546 | 0.5312 | 26.2352 | |
| | 0.3002 | 2.0885 | 637 | 0.5286 | 25.6357 | |
| | 0.2726 | 2.3869 | 728 | 0.5317 | 27.2655 | |
| | 0.2821 | 2.6852 | 819 | 0.5328 | 26.3991 | |
| | 0.2643 | 2.9836 | 910 | 0.5305 | 26.4319 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.17.1 |
| - Transformers 4.57.6 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.2 |
