---
language:
- nl
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large V2
  results: []
---

<!-- 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 Large V2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2941
- Wer: 9.7158

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6299        | 0.09  | 30   | 0.3564          | 16.3717 |
| 0.3398        | 0.19  | 60   | 0.3210          | 12.9819 |
| 0.3187        | 0.28  | 90   | 0.2997          | 19.9971 |
| 0.2773        | 0.38  | 120  | 0.2939          | 15.2908 |
| 0.2745        | 0.47  | 150  | 0.2780          | 15.0405 |
| 0.2677        | 0.57  | 180  | 0.2697          | 12.3840 |
| 0.2467        | 0.66  | 210  | 0.2698          | 13.6033 |
| 0.2467        | 0.76  | 240  | 0.2735          | 16.5749 |
| 0.2455        | 0.85  | 270  | 0.2639          | 12.0188 |
| 0.269         | 0.95  | 300  | 0.2597          | 13.3412 |
| 0.1851        | 1.04  | 330  | 0.2643          | 12.3428 |
| 0.1265        | 1.14  | 360  | 0.2561          | 13.4649 |
| 0.1377        | 1.23  | 390  | 0.2662          | 12.8081 |
| 0.134         | 1.33  | 420  | 0.2640          | 12.3310 |
| 0.1371        | 1.42  | 450  | 0.2630          | 11.8480 |
| 0.1307        | 1.52  | 480  | 0.2616          | 11.9187 |
| 0.1423        | 1.61  | 510  | 0.2535          | 11.3150 |
| 0.1406        | 1.71  | 540  | 0.2525          | 10.9675 |
| 0.1312        | 1.8   | 570  | 0.2483          | 13.9479 |
| 0.1214        | 1.9   | 600  | 0.2534          | 12.3192 |
| 0.1252        | 1.99  | 630  | 0.2531          | 11.7243 |
| 0.0657        | 2.09  | 660  | 0.2619          | 11.0558 |
| 0.0578        | 2.18  | 690  | 0.2698          | 12.2191 |
| 0.0548        | 2.28  | 720  | 0.2662          | 10.3667 |
| 0.0596        | 2.37  | 750  | 0.2685          | 12.3222 |
| 0.0573        | 2.47  | 780  | 0.2698          | 10.5581 |
| 0.0589        | 2.56  | 810  | 0.2661          | 11.7391 |
| 0.0554        | 2.66  | 840  | 0.2608          | 11.7332 |
| 0.0625        | 2.75  | 870  | 0.2622          | 10.7760 |
| 0.0586        | 2.85  | 900  | 0.2603          | 10.7201 |
| 0.0647        | 2.94  | 930  | 0.2576          | 10.5669 |
| 0.0486        | 3.04  | 960  | 0.2647          | 10.2518 |
| 0.0245        | 3.13  | 990  | 0.2749          | 10.6140 |
| 0.0256        | 3.23  | 1020 | 0.2707          | 10.2813 |
| 0.0242        | 3.32  | 1050 | 0.2724          | 11.6566 |
| 0.0225        | 3.42  | 1080 | 0.2699          | 10.6347 |
| 0.0205        | 3.51  | 1110 | 0.2748          | 10.0427 |
| 0.0217        | 3.61  | 1140 | 0.2747          | 10.0339 |
| 0.0216        | 3.7   | 1170 | 0.2775          | 9.9190  |
| 0.0222        | 3.8   | 1200 | 0.2770          | 10.2371 |
| 0.0204        | 3.89  | 1230 | 0.2722          | 10.1782 |
| 0.0185        | 3.99  | 1260 | 0.2725          | 9.7835  |
| 0.0111        | 4.08  | 1290 | 0.2834          | 9.8866  |
| 0.0085        | 4.18  | 1320 | 0.2854          | 9.7894  |
| 0.0082        | 4.27  | 1350 | 0.2868          | 9.7629  |
| 0.0075        | 4.37  | 1380 | 0.2906          | 9.7776  |
| 0.0079        | 4.46  | 1410 | 0.2918          | 9.7394  |
| 0.0071        | 4.56  | 1440 | 0.2902          | 9.6157  |
| 0.0076        | 4.65  | 1470 | 0.2921          | 9.5921  |
| 0.0071        | 4.75  | 1500 | 0.2940          | 9.5774  |
| 0.0069        | 4.84  | 1530 | 0.2936          | 9.7276  |
| 0.0071        | 4.94  | 1560 | 0.2941          | 9.7158  |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0