---
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: 0.2801
- Wer: 9.8223

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5984        | 0.09  | 30   | 0.3378          | 18.2664 |
| 0.3397        | 0.19  | 60   | 0.3041          | 17.6296 |
| 0.3062        | 0.28  | 90   | 0.2931          | 16.5683 |
| 0.2995        | 0.38  | 120  | 0.2821          | 12.3463 |
| 0.2783        | 0.47  | 150  | 0.2799          | 12.5440 |
| 0.2946        | 0.57  | 180  | 0.2626          | 12.3870 |
| 0.2615        | 0.66  | 210  | 0.2652          | 11.8054 |
| 0.2456        | 0.76  | 240  | 0.2654          | 12.1282 |
| 0.2446        | 0.85  | 270  | 0.2579          | 12.3172 |
| 0.2836        | 0.95  | 300  | 0.2494          | 12.5149 |
| 0.1951        | 1.04  | 330  | 0.2531          | 13.0267 |
| 0.1233        | 1.14  | 360  | 0.2517          | 11.3402 |
| 0.1219        | 1.23  | 390  | 0.2512          | 11.8926 |
| 0.144         | 1.33  | 420  | 0.2510          | 11.6775 |
| 0.1268        | 1.42  | 450  | 0.2509          | 11.9624 |
| 0.1366        | 1.52  | 480  | 0.2496          | 13.8350 |
| 0.134         | 1.61  | 510  | 0.2467          | 11.1279 |
| 0.139         | 1.71  | 540  | 0.2465          | 12.2823 |
| 0.1449        | 1.8   | 570  | 0.2428          | 13.7158 |
| 0.1257        | 1.9   | 600  | 0.2400          | 12.9452 |
| 0.1319        | 1.99  | 630  | 0.2335          | 13.2738 |
| 0.066         | 2.09  | 660  | 0.2525          | 13.3291 |
| 0.0517        | 2.18  | 690  | 0.2553          | 12.6225 |
| 0.0595        | 2.28  | 720  | 0.2530          | 13.2273 |
| 0.0638        | 2.37  | 750  | 0.2533          | 10.6452 |
| 0.0612        | 2.47  | 780  | 0.2565          | 12.9191 |
| 0.0633        | 2.56  | 810  | 0.2512          | 10.7935 |
| 0.056         | 2.66  | 840  | 0.2549          | 13.8263 |
| 0.0614        | 2.75  | 870  | 0.2526          | 11.1803 |
| 0.062         | 2.85  | 900  | 0.2555          | 10.2585 |
| 0.0586        | 2.94  | 930  | 0.2456          | 10.5900 |
| 0.0462        | 3.04  | 960  | 0.2538          | 10.5754 |
| 0.0225        | 3.13  | 990  | 0.2629          | 11.0320 |
| 0.0244        | 3.23  | 1020 | 0.2659          | 10.0695 |
| 0.0246        | 3.32  | 1050 | 0.2651          | 9.8863  |
| 0.0217        | 3.42  | 1080 | 0.2652          | 10.0550 |
| 0.0222        | 3.51  | 1110 | 0.2625          | 10.7063 |
| 0.023         | 3.61  | 1140 | 0.2660          | 10.7470 |
| 0.0236        | 3.7   | 1170 | 0.2651          | 9.9183  |
| 0.0214        | 3.8   | 1200 | 0.2642          | 9.9386  |
| 0.0208        | 3.89  | 1230 | 0.2635          | 9.9619  |
| 0.021         | 3.99  | 1260 | 0.2674          | 9.9794  |
| 0.0127        | 4.08  | 1290 | 0.2700          | 9.6391  |
| 0.0096        | 4.18  | 1320 | 0.2783          | 9.6217  |
| 0.0082        | 4.27  | 1350 | 0.2822          | 9.6799  |
| 0.009         | 4.37  | 1380 | 0.2799          | 9.7729  |
| 0.0077        | 4.46  | 1410 | 0.2806          | 9.9154  |
| 0.007         | 4.56  | 1440 | 0.2803          | 9.7526  |
| 0.0078        | 4.65  | 1470 | 0.2805          | 9.7264  |
| 0.0083        | 4.75  | 1500 | 0.2804          | 9.8427  |
| 0.0085        | 4.84  | 1530 | 0.2807          | 9.8543  |
| 0.0081        | 4.94  | 1560 | 0.2801          | 9.8223  |


### Framework versions

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