---
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: 0.2535
- Wer: 8.9988

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6185        | 0.09  | 30   | 0.3181          | 12.1555 |
| 0.3243        | 0.19  | 60   | 0.2801          | 11.9994 |
| 0.3044        | 0.28  | 90   | 0.2689          | 11.9876 |
| 0.2843        | 0.38  | 120  | 0.2574          | 10.4270 |
| 0.2859        | 0.47  | 150  | 0.2427          | 12.1879 |
| 0.271         | 0.57  | 180  | 0.2374          | 14.0459 |
| 0.2584        | 0.66  | 210  | 0.2319          | 11.1690 |
| 0.2916        | 0.76  | 240  | 0.2302          | 13.6013 |
| 0.2781        | 0.85  | 270  | 0.2224          | 10.6832 |
| 0.2498        | 0.95  | 300  | 0.2244          | 10.2945 |
| 0.2033        | 1.04  | 330  | 0.2311          | 11.3045 |
| 0.1323        | 1.14  | 360  | 0.2268          | 10.9393 |
| 0.1322        | 1.23  | 390  | 0.2242          | 9.9912  |
| 0.1312        | 1.33  | 420  | 0.2267          | 14.3993 |
| 0.1392        | 1.42  | 450  | 0.2209          | 9.9352  |
| 0.1437        | 1.52  | 480  | 0.2146          | 10.0824 |
| 0.1299        | 1.61  | 510  | 0.2198          | 16.3516 |
| 0.1328        | 1.71  | 540  | 0.2161          | 10.0118 |
| 0.1425        | 1.8   | 570  | 0.2133          | 11.3280 |
| 0.1332        | 1.9   | 600  | 0.2137          | 10.4476 |
| 0.1354        | 1.99  | 630  | 0.2101          | 10.0324 |
| 0.0601        | 2.09  | 660  | 0.2241          | 9.2285  |
| 0.0557        | 2.18  | 690  | 0.2235          | 9.0548  |
| 0.0567        | 2.28  | 720  | 0.2239          | 9.5259  |
| 0.0583        | 2.37  | 750  | 0.2246          | 11.3575 |
| 0.0642        | 2.47  | 780  | 0.2241          | 9.7556  |
| 0.059         | 2.56  | 810  | 0.2256          | 10.1266 |
| 0.0596        | 2.66  | 840  | 0.2228          | 9.5318  |
| 0.0571        | 2.75  | 870  | 0.2206          | 12.1290 |
| 0.0581        | 2.85  | 900  | 0.2222          | 10.4240 |
| 0.063         | 2.94  | 930  | 0.2229          | 9.3551  |
| 0.0428        | 3.04  | 960  | 0.2313          | 9.8557  |
| 0.0237        | 3.13  | 990  | 0.2337          | 9.7261  |
| 0.0228        | 3.23  | 1020 | 0.2380          | 9.3433  |
| 0.022         | 3.32  | 1050 | 0.2403          | 9.6849  |
| 0.0235        | 3.42  | 1080 | 0.2342          | 9.5878  |
| 0.0206        | 3.51  | 1110 | 0.2341          | 9.0371  |
| 0.0205        | 3.61  | 1140 | 0.2391          | 9.2668  |
| 0.022         | 3.7   | 1170 | 0.2336          | 9.6496  |
| 0.0201        | 3.8   | 1200 | 0.2363          | 9.4876  |
| 0.0213        | 3.89  | 1230 | 0.2303          | 9.5819  |
| 0.0206        | 3.99  | 1260 | 0.2348          | 9.4670  |
| 0.0098        | 4.08  | 1290 | 0.2450          | 9.4729  |
| 0.0088        | 4.18  | 1320 | 0.2497          | 9.1461  |
| 0.0076        | 4.27  | 1350 | 0.2497          | 9.2815  |
| 0.0086        | 4.37  | 1380 | 0.2509          | 9.0901  |
| 0.0064        | 4.46  | 1410 | 0.2524          | 8.9164  |
| 0.0075        | 4.56  | 1440 | 0.2539          | 8.9340  |
| 0.0069        | 4.65  | 1470 | 0.2532          | 8.9870  |
| 0.0083        | 4.75  | 1500 | 0.2529          | 9.0135  |
| 0.0064        | 4.84  | 1530 | 0.2536          | 8.9605  |
| 0.0065        | 4.94  | 1560 | 0.2535          | 8.9988  |


### Framework versions

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