---
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-mmr-ecapa
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: JASMIN-CGN
      type: jasmin
    metrics:
    - type: wer
      value: 35.10513745141198
      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-mmr-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: 0.5545
- Wer: 35.1051

## 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: 62
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.9171        | 0.2967 | 62   | 0.7342          | 44.3497 |
| 0.377         | 0.5933 | 124  | 0.6011          | 41.0902 |
| 0.3449        | 0.8900 | 186  | 0.5843          | 42.5420 |
| 0.315         | 1.1866 | 248  | 0.5710          | 39.1186 |
| 0.2988        | 1.4833 | 310  | 0.5689          | 45.5393 |
| 0.2893        | 1.7799 | 372  | 0.5588          | 37.1330 |
| 0.2607        | 2.0766 | 434  | 0.5569          | 36.0230 |
| 0.2532        | 2.3732 | 496  | 0.5575          | 35.7046 |
| 0.2599        | 2.6699 | 558  | 0.5543          | 34.4776 |
| 0.2716        | 2.9665 | 620  | 0.5545          | 35.1051 |


### Framework versions

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