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---
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
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