---
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: 0.4586
- Wer: 22.0846

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.7137        | 0.1852 | 30   | 0.4795          | 35.1951 |
| 0.4678        | 0.3704 | 60   | 0.4433          | 43.9372 |
| 0.4255        | 0.5556 | 90   | 0.4112          | 36.2069 |
| 0.4164        | 0.7407 | 120  | 0.3886          | 29.2672 |
| 0.4173        | 0.9259 | 150  | 0.3784          | 30.1063 |
| 0.2763        | 1.1111 | 180  | 0.3815          | 29.2618 |
| 0.2067        | 1.2963 | 210  | 0.3685          | 25.0445 |
| 0.2142        | 1.4815 | 240  | 0.3779          | 32.5320 |
| 0.2079        | 1.6667 | 270  | 0.3749          | 22.7619 |
| 0.1928        | 1.8519 | 300  | 0.3703          | 24.0840 |
| 0.1812        | 2.0370 | 330  | 0.3788          | 21.3183 |
| 0.0992        | 2.2222 | 360  | 0.3961          | 20.3659 |
| 0.1028        | 2.4074 | 390  | 0.3885          | 26.0914 |
| 0.0992        | 2.5926 | 420  | 0.3888          | 22.8401 |
| 0.0957        | 2.7778 | 450  | 0.3771          | 26.2965 |
| 0.1015        | 2.9630 | 480  | 0.3729          | 24.6641 |
| 0.0607        | 3.1481 | 510  | 0.4192          | 21.8472 |
| 0.05          | 3.3333 | 540  | 0.4098          | 20.6276 |
| 0.0463        | 3.5185 | 570  | 0.4043          | 23.7035 |
| 0.0404        | 3.7037 | 600  | 0.4159          | 21.9524 |
| 0.0359        | 3.8889 | 630  | 0.4163          | 23.7116 |
| 0.0303        | 4.0741 | 660  | 0.4252          | 22.9588 |
| 0.014         | 4.2593 | 690  | 0.4608          | 22.4030 |
| 0.0152        | 4.4444 | 720  | 0.4586          | 22.7106 |
| 0.0142        | 4.6296 | 750  | 0.4547          | 22.7430 |
| 0.0143        | 4.8148 | 780  | 0.4591          | 21.9875 |
| 0.0138        | 5.0    | 810  | 0.4586          | 22.0846 |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1