---
library_name: transformers
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4356
- Wer: 17.9459

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.8564        | 0.0676 | 15   | 0.6152          | 41.0055 |
| 0.5012        | 0.1351 | 30   | 0.4878          | 48.5720 |
| 0.4816        | 0.2027 | 45   | 0.4620          | 32.3907 |
| 0.415         | 0.2703 | 60   | 0.4401          | 44.3115 |
| 0.3973        | 0.3378 | 75   | 0.4212          | 36.4375 |
| 0.3987        | 0.4054 | 90   | 0.4094          | 29.3866 |
| 0.4059        | 0.4730 | 105  | 0.3966          | 26.1762 |
| 0.4126        | 0.5405 | 120  | 0.3882          | 28.4659 |
| 0.3785        | 0.6081 | 135  | 0.3864          | 22.7352 |
| 0.3652        | 0.6757 | 150  | 0.3845          | 35.2448 |
| 0.4099        | 0.7432 | 165  | 0.3776          | 29.4185 |
| 0.4101        | 0.8108 | 180  | 0.3709          | 31.4269 |
| 0.352         | 0.8784 | 195  | 0.3687          | 24.2766 |
| 0.3604        | 0.9459 | 210  | 0.3648          | 21.7113 |
| 0.3642        | 1.0135 | 225  | 0.3622          | 21.3025 |
| 0.1693        | 1.0811 | 240  | 0.3698          | 27.0501 |
| 0.1622        | 1.1486 | 255  | 0.3728          | 27.2526 |
| 0.1862        | 1.2162 | 270  | 0.3562          | 21.5538 |
| 0.1815        | 1.2838 | 285  | 0.3647          | 23.6784 |
| 0.2084        | 1.3514 | 300  | 0.3611          | 20.9556 |
| 0.1777        | 1.4189 | 315  | 0.3610          | 22.6921 |
| 0.1842        | 1.4865 | 330  | 0.3591          | 22.3939 |
| 0.178         | 1.5541 | 345  | 0.3545          | 20.8168 |
| 0.1965        | 1.6216 | 360  | 0.3489          | 23.0390 |
| 0.1931        | 1.6892 | 375  | 0.3485          | 22.2176 |
| 0.1886        | 1.7568 | 390  | 0.3452          | 20.1268 |
| 0.1936        | 1.8243 | 405  | 0.3417          | 20.4849 |
| 0.19          | 1.8919 | 420  | 0.3474          | 22.2889 |
| 0.1818        | 1.9595 | 435  | 0.3449          | 22.0545 |
| 0.1445        | 2.0270 | 450  | 0.3605          | 19.4892 |
| 0.0879        | 2.0946 | 465  | 0.3753          | 19.5136 |
| 0.0921        | 2.1622 | 480  | 0.3722          | 19.8455 |
| 0.091         | 2.2297 | 495  | 0.3705          | 20.2955 |
| 0.0936        | 2.2973 | 510  | 0.3670          | 22.8215 |
| 0.0854        | 2.3649 | 525  | 0.3629          | 22.5327 |
| 0.0938        | 2.4324 | 540  | 0.3550          | 19.5061 |
| 0.0843        | 2.5    | 555  | 0.3674          | 21.2219 |
| 0.0879        | 2.5676 | 570  | 0.3599          | 18.8966 |
| 0.0802        | 2.6351 | 585  | 0.3668          | 18.1109 |
| 0.0868        | 2.7027 | 600  | 0.3563          | 18.5197 |
| 0.09          | 2.7703 | 615  | 0.3601          | 19.7236 |
| 0.0844        | 2.8378 | 630  | 0.3583          | 18.9829 |
| 0.0814        | 2.9054 | 645  | 0.3647          | 19.2135 |
| 0.0834        | 2.9730 | 660  | 0.3555          | 19.6298 |
| 0.0642        | 3.0405 | 675  | 0.3672          | 18.4484 |
| 0.0403        | 3.1081 | 690  | 0.4052          | 18.9698 |
| 0.0397        | 3.1757 | 705  | 0.3852          | 18.4747 |
| 0.0363        | 3.2432 | 720  | 0.3983          | 17.8334 |
| 0.0361        | 3.3108 | 735  | 0.3859          | 18.2965 |
| 0.0365        | 3.3784 | 750  | 0.3986          | 19.9486 |
| 0.032         | 3.4459 | 765  | 0.4001          | 18.6753 |
| 0.0374        | 3.5135 | 780  | 0.3902          | 18.3528 |
| 0.0337        | 3.5811 | 795  | 0.3980          | 18.4016 |
| 0.0327        | 3.6486 | 810  | 0.3962          | 17.6252 |
| 0.0357        | 3.7162 | 825  | 0.3935          | 18.5197 |
| 0.0359        | 3.7838 | 840  | 0.3877          | 18.3978 |
| 0.0342        | 3.8514 | 855  | 0.3870          | 18.9848 |
| 0.0368        | 3.9189 | 870  | 0.3939          | 17.9721 |
| 0.0341        | 3.9865 | 885  | 0.3928          | 18.1409 |
| 0.0164        | 4.0541 | 900  | 0.4037          | 17.4077 |
| 0.0141        | 4.1216 | 915  | 0.4316          | 18.3509 |
| 0.0113        | 4.1892 | 930  | 0.4305          | 16.9895 |
| 0.014         | 4.2568 | 945  | 0.4285          | 17.5071 |
| 0.0131        | 4.3243 | 960  | 0.4271          | 17.7621 |
| 0.0156        | 4.3919 | 975  | 0.4292          | 19.2998 |
| 0.0118        | 4.4595 | 990  | 0.4334          | 18.8704 |
| 0.0104        | 4.5270 | 1005 | 0.4332          | 17.7827 |
| 0.0107        | 4.5946 | 1020 | 0.4327          | 19.0148 |
| 0.009         | 4.6622 | 1035 | 0.4346          | 17.9084 |
| 0.0091        | 4.7297 | 1050 | 0.4384          | 17.7827 |
| 0.0107        | 4.7973 | 1065 | 0.4359          | 18.4203 |
| 0.0114        | 4.8649 | 1080 | 0.4348          | 17.8465 |
| 0.0092        | 4.9324 | 1095 | 0.4354          | 18.0415 |
| 0.0095        | 5.0    | 1110 | 0.4356          | 17.9459 |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1