---
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: exp1-whisper-jasmin-child
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: JASMIN-CGN
      type: jasmin
    metrics:
    - type: wer
      value: 17.334854228872413
      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. -->

# exp1-whisper-jasmin-child

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: 0.3635
- Wer: 17.3349

## 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: 1e-05
- train_batch_size: 48
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 81
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.0258        | 0.1838 | 50   | 1.1952          | 37.8166 |
| 0.9199        | 0.3676 | 100  | 1.0455          | 35.2233 |
| 0.7782        | 0.5515 | 150  | 0.8236          | 32.5159 |
| 0.5719        | 0.7353 | 200  | 0.5861          | 29.6004 |
| 0.4533        | 0.9191 | 250  | 0.4692          | 23.8233 |
| 0.4438        | 1.1029 | 300  | 0.4243          | 21.0689 |
| 0.436         | 1.2868 | 350  | 0.4051          | 19.8175 |
| 0.4189        | 1.4706 | 400  | 0.3933          | 19.4552 |
| 0.4044        | 1.6544 | 450  | 0.3844          | 19.2170 |
| 0.3686        | 1.8382 | 500  | 0.3781          | 17.7509 |
| 0.3758        | 2.0221 | 550  | 0.3734          | 17.7408 |
| 0.4074        | 2.2059 | 600  | 0.3697          | 17.5697 |
| 0.3681        | 2.3897 | 650  | 0.3669          | 17.4523 |
| 0.3604        | 2.5735 | 700  | 0.3650          | 17.3617 |
| 0.3876        | 2.7574 | 750  | 0.3640          | 17.3483 |
| 0.3905        | 2.9412 | 800  | 0.3635          | 17.3349 |


### Framework versions

- PEFT 0.16.0
- Transformers 4.52.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2