---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base-nl-3
  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-base-nl-3

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5826
- Wer: 24.8548
- Cer: 8.2429

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 45000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Cer     | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|
| 0.5761        | 0.06  | 1000  | 10.1154 | 0.5675          | 28.1532 |
| 0.48          | 0.13  | 2000  | 9.6911  | 0.5239          | 26.4364 |
| 0.4094        | 0.19  | 3000  | 9.1532  | 0.4925          | 24.8355 |
| 0.4792        | 0.26  | 4000  | 8.8414  | 0.4702          | 24.1105 |
| 0.3444        | 0.32  | 5000  | 8.8531  | 0.4544          | 23.9017 |
| 0.3943        | 0.39  | 6000  | 8.3602  | 0.4446          | 22.7353 |
| 0.4925        | 0.45  | 7000  | 8.3724  | 0.4348          | 22.1788 |
| 0.4455        | 0.52  | 8000  | 8.2989  | 0.4270          | 21.7549 |
| 0.3987        | 0.58  | 9000  | 7.9417  | 0.4139          | 20.8424 |
| 0.3373        | 0.65  | 10000 | 7.8871  | 0.4116          | 21.2144 |
| 0.3808        | 0.71  | 11000 | 7.6264  | 0.4016          | 20.5092 |
| 0.4214        | 0.78  | 12000 | 7.4153  | 0.3949          | 20.0938 |
| 0.3029        | 0.84  | 13000 | 7.3581  | 0.3902          | 19.7347 |
| 0.3549        | 1.66  | 14000 | 7.1195  | 0.3908          | 19.4115 |
| 0.3385        | 1.78  | 15000 | 7.7792  | 0.3906          | 20.2051 |
| 0.3282        | 1.9   | 16000 | 7.1081  | 0.3923          | 19.2651 |
| 0.3196        | 2.02  | 17000 | 7.2249  | 0.3923          | 19.3352 |
| 0.3251        | 2.14  | 18000 | 7.1761  | 0.3981          | 19.4831 |
| 0.4162        | 2.25  | 19000 | 7.0590  | 0.3958          | 19.0577 |
| 0.2851        | 2.37  | 20000 | 7.0167  | 0.3953          | 19.2095 |
| 0.2982        | 2.49  | 21000 | 6.8426  | 0.3929          | 18.8100 |
| 0.3642        | 2.61  | 22000 | 6.8867  | 0.3954          | 18.6972 |
| 0.2297        | 2.73  | 23000 | 6.9384  | 0.3916          | 18.7330 |
| 0.2313        | 2.85  | 24000 | 6.7785  | 0.3930          | 18.6034 |
| 0.2833        | 2.97  | 25000 | 6.8552  | 0.3910          | 18.5981 |
| 0.2509        | 3.09  | 26000 | 6.8165  | 0.3949          | 18.5180 |
| 0.2085        | 3.2   | 27000 | 6.8113  | 0.3985          | 18.6133 |
| 0.2055        | 3.32  | 28000 | 6.8624  | 0.3995          | 18.7612 |
| 0.175         | 3.44  | 29000 | 6.7727  | 0.4009          | 18.4814 |
| 0.1701        | 3.56  | 30000 | 7.0136  | 0.3998          | 18.8344 |
| 0.6832        | 33.81 | 31000 | 7.8509  | 0.5425          | 24.6216 |
| 0.5676        | 34.9  | 32000 | 7.3776  | 0.5141          | 23.6790 |
| 0.4863        | 35.99 | 33000 | 7.2441  | 0.5003          | 23.0542 |
| 0.5007        | 37.08 | 34000 | 7.1545  | 0.4948          | 22.9234 |
| 0.4519        | 38.17 | 35000 | 7.1257  | 0.4922          | 22.8248 |
| 0.3674        | 39.26 | 36000 | 7.0104  | 0.4754          | 22.6642 |
| 0.3481        | 40.35 | 37000 | 7.0311  | 0.4679          | 22.6314 |
| 0.2992        | 41.44 | 38000 | 6.9465  | 0.4622          | 22.2595 |
| 0.2505        | 42.53 | 39000 | 6.9198  | 0.4641          | 22.1937 |
| 0.2477        | 43.62 | 40000 | 7.2008  | 0.4678          | 22.8279 |
| 0.1994        | 44.71 | 41000 | 7.1179  | 0.4689          | 22.3808 |
| 0.1865        | 45.8  | 42000 | 7.1351  | 0.4717          | 22.5664 |
| 0.2307        | 46.89 | 43000 | 7.1364  | 0.4754          | 22.3722 |
| 0.1705        | 47.98 | 44000 | 7.0830  | 0.4759          | 22.3863 |
| 0.2007        | 49.07 | 45000 | 7.1187  | 0.4767          | 22.4849 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2