---
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: 0.2872
- Wer: 10.3543

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6091        | 0.09  | 30   | 0.3548          | 15.0266 |
| 0.3073        | 0.19  | 60   | 0.3203          | 13.7016 |
| 0.3171        | 0.28  | 90   | 0.3049          | 12.6189 |
| 0.29          | 0.38  | 120  | 0.3033          | 13.9760 |
| 0.2907        | 0.47  | 150  | 0.2824          | 12.9750 |
| 0.2748        | 0.57  | 180  | 0.2737          | 13.1413 |
| 0.2637        | 0.66  | 210  | 0.2655          | 15.0149 |
| 0.2672        | 0.76  | 240  | 0.2629          | 15.7094 |
| 0.2483        | 0.85  | 270  | 0.2616          | 13.7483 |
| 0.2531        | 0.95  | 300  | 0.2603          | 13.5732 |
| 0.1988        | 1.04  | 330  | 0.2713          | 12.3417 |
| 0.1271        | 1.14  | 360  | 0.2644          | 12.3942 |
| 0.1309        | 1.23  | 390  | 0.2612          | 12.6218 |
| 0.1506        | 1.33  | 420  | 0.2633          | 17.3204 |
| 0.1365        | 1.42  | 450  | 0.2621          | 13.2551 |
| 0.1379        | 1.52  | 480  | 0.2636          | 13.2901 |
| 0.1325        | 1.61  | 510  | 0.2550          | 12.8845 |
| 0.129         | 1.71  | 540  | 0.2575          | 14.0139 |
| 0.1334        | 1.8   | 570  | 0.2513          | 12.2104 |
| 0.1418        | 1.9   | 600  | 0.2484          | 12.2541 |
| 0.1438        | 1.99  | 630  | 0.2457          | 12.0119 |
| 0.0651        | 2.09  | 660  | 0.2646          | 12.3358 |
| 0.0649        | 2.18  | 690  | 0.2684          | 10.6286 |
| 0.0638        | 2.28  | 720  | 0.2645          | 11.6121 |
| 0.0651        | 2.37  | 750  | 0.2616          | 11.4020 |
| 0.0656        | 2.47  | 780  | 0.2574          | 11.4457 |
| 0.0643        | 2.56  | 810  | 0.2592          | 11.7113 |
| 0.0682        | 2.66  | 840  | 0.2597          | 11.5625 |
| 0.0583        | 2.75  | 870  | 0.2571          | 12.9020 |
| 0.0608        | 2.85  | 900  | 0.2574          | 14.3991 |
| 0.064         | 2.94  | 930  | 0.2535          | 10.6023 |
| 0.0429        | 3.04  | 960  | 0.2648          | 10.9788 |
| 0.0264        | 3.13  | 990  | 0.2710          | 10.3514 |
| 0.0251        | 3.23  | 1020 | 0.2688          | 10.4302 |
| 0.0244        | 3.32  | 1050 | 0.2709          | 9.9778  |
| 0.0251        | 3.42  | 1080 | 0.2732          | 10.1733 |
| 0.0245        | 3.51  | 1110 | 0.2720          | 11.1043 |
| 0.0246        | 3.61  | 1140 | 0.2765          | 10.8446 |
| 0.0254        | 3.7   | 1170 | 0.2709          | 10.7658 |
| 0.0234        | 3.8   | 1200 | 0.2663          | 10.3485 |
| 0.022         | 3.89  | 1230 | 0.2649          | 11.4370 |
| 0.0237        | 3.99  | 1260 | 0.2688          | 11.0138 |
| 0.011         | 4.08  | 1290 | 0.2791          | 10.3076 |
| 0.0107        | 4.18  | 1320 | 0.2839          | 10.4798 |
| 0.0087        | 4.27  | 1350 | 0.2871          | 10.4856 |
| 0.0081        | 4.37  | 1380 | 0.2894          | 10.3280 |
| 0.0094        | 4.46  | 1410 | 0.2872          | 10.2259 |
| 0.0083        | 4.56  | 1440 | 0.2887          | 10.2288 |
| 0.0104        | 4.65  | 1470 | 0.2856          | 10.2638 |
| 0.009         | 4.75  | 1500 | 0.2855          | 10.3339 |
| 0.0068        | 4.84  | 1530 | 0.2865          | 10.4010 |
| 0.0082        | 4.94  | 1560 | 0.2872          | 10.3543 |


### Framework versions

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