---
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: 0.2970
- Wer: 11.6236

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6426        | 0.09  | 30   | 0.3506          | 16.5079 |
| 0.3086        | 0.19  | 60   | 0.3201          | 12.7211 |
| 0.3121        | 0.28  | 90   | 0.2968          | 11.7123 |
| 0.2956        | 0.38  | 120  | 0.2937          | 13.6116 |
| 0.3067        | 0.47  | 150  | 0.2769          | 14.4193 |
| 0.2787        | 0.57  | 180  | 0.2717          | 14.5051 |
| 0.2382        | 0.66  | 210  | 0.2732          | 17.2889 |
| 0.232         | 0.76  | 240  | 0.2742          | 19.2148 |
| 0.2653        | 0.85  | 270  | 0.2632          | 18.9604 |
| 0.2726        | 0.95  | 300  | 0.2497          | 15.6174 |
| 0.1879        | 1.04  | 330  | 0.2603          | 12.4549 |
| 0.124         | 1.14  | 360  | 0.2590          | 11.1769 |
| 0.1244        | 1.23  | 390  | 0.2679          | 17.9486 |
| 0.1482        | 1.33  | 420  | 0.2590          | 16.1263 |
| 0.1312        | 1.42  | 450  | 0.2628          | 15.2595 |
| 0.1358        | 1.52  | 480  | 0.2550          | 13.0347 |
| 0.1302        | 1.61  | 510  | 0.2545          | 15.1648 |
| 0.132         | 1.71  | 540  | 0.2508          | 15.3127 |
| 0.1402        | 1.8   | 570  | 0.2418          | 12.2330 |
| 0.137         | 1.9   | 600  | 0.2444          | 13.2329 |
| 0.1346        | 1.99  | 630  | 0.2432          | 13.1649 |
| 0.0664        | 2.09  | 660  | 0.2594          | 11.6058 |
| 0.0562        | 2.18  | 690  | 0.2655          | 10.9431 |
| 0.0551        | 2.28  | 720  | 0.2613          | 13.3690 |
| 0.0625        | 2.37  | 750  | 0.2555          | 20.2769 |
| 0.0627        | 2.47  | 780  | 0.2602          | 17.7268 |
| 0.0586        | 2.56  | 810  | 0.2647          | 11.5319 |
| 0.0604        | 2.66  | 840  | 0.2615          | 11.0378 |
| 0.062         | 2.75  | 870  | 0.2570          | 12.0111 |
| 0.0548        | 2.85  | 900  | 0.2575          | 14.5317 |
| 0.0576        | 2.94  | 930  | 0.2585          | 12.2182 |
| 0.0448        | 3.04  | 960  | 0.2619          | 13.0406 |
| 0.023         | 3.13  | 990  | 0.2730          | 12.9578 |
| 0.0241        | 3.23  | 1020 | 0.2773          | 11.9667 |
| 0.023         | 3.32  | 1050 | 0.2738          | 11.7656 |
| 0.0222        | 3.42  | 1080 | 0.2767          | 11.8602 |
| 0.0201        | 3.51  | 1110 | 0.2723          | 11.3455 |
| 0.0195        | 3.61  | 1140 | 0.2803          | 10.6946 |
| 0.0221        | 3.7   | 1170 | 0.2744          | 11.3899 |
| 0.0202        | 3.8   | 1200 | 0.2764          | 11.3070 |
| 0.0223        | 3.89  | 1230 | 0.2725          | 11.2567 |
| 0.021         | 3.99  | 1260 | 0.2781          | 10.6148 |
| 0.01          | 4.08  | 1290 | 0.2854          | 10.7508 |
| 0.0081        | 4.18  | 1320 | 0.2914          | 10.5970 |
| 0.0086        | 4.27  | 1350 | 0.2918          | 11.0408 |
| 0.0073        | 4.37  | 1380 | 0.2946          | 11.2301 |
| 0.0085        | 4.46  | 1410 | 0.2950          | 10.8721 |
| 0.007         | 4.56  | 1440 | 0.2957          | 11.4224 |
| 0.0063        | 4.65  | 1470 | 0.2965          | 11.4431 |
| 0.0073        | 4.75  | 1500 | 0.2976          | 11.0970 |
| 0.0078        | 4.84  | 1530 | 0.2972          | 11.5289 |
| 0.0068        | 4.94  | 1560 | 0.2970          | 11.6236 |


### Framework versions

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