---
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-5h-maxcos-ecapa
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: JASMIN-CGN
      type: jasmin
    metrics:
    - type: wer
      value: 34.73984920151735
      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-5h-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: 0.5519
- Wer: 34.7398

## 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: 63
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.9169        | 0.2972 | 63   | 0.7278          | 41.9660 |
| 0.3981        | 0.5943 | 126  | 0.6059          | 43.3522 |
| 0.3374        | 0.8915 | 189  | 0.5844          | 50.2318 |
| 0.2899        | 1.1887 | 252  | 0.5708          | 43.8440 |
| 0.2836        | 1.4858 | 315  | 0.5627          | 38.2195 |
| 0.3081        | 1.7830 | 378  | 0.5542          | 35.4283 |
| 0.2832        | 2.0802 | 441  | 0.5556          | 36.0184 |
| 0.2731        | 2.3774 | 504  | 0.5539          | 36.5101 |
| 0.2471        | 2.6745 | 567  | 0.5524          | 35.9341 |
| 0.2567        | 2.9717 | 630  | 0.5519          | 34.7398 |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.6
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2