---
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: 0.5449
- Wer: 25.0953

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.841         | 0.2239 | 15   | 0.5933          | 48.4347 |
| 0.5965        | 0.4478 | 30   | 0.5012          | 27.9249 |
| 0.5018        | 0.6716 | 45   | 0.4670          | 25.0251 |
| 0.4578        | 0.8955 | 60   | 0.4569          | 27.6390 |
| 0.3824        | 1.1194 | 75   | 0.4603          | 27.2978 |
| 0.2738        | 1.3433 | 90   | 0.4537          | 25.0301 |
| 0.2375        | 1.5672 | 105  | 0.4516          | 24.4632 |
| 0.2573        | 1.7910 | 120  | 0.4381          | 25.3512 |
| 0.241         | 2.0149 | 135  | 0.4379          | 25.4766 |
| 0.1265        | 2.2388 | 150  | 0.4624          | 23.7809 |
| 0.1391        | 2.4627 | 165  | 0.4588          | 26.6406 |
| 0.1242        | 2.6866 | 180  | 0.4572          | 24.7642 |
| 0.1227        | 2.9104 | 195  | 0.4561          | 27.5738 |
| 0.0774        | 3.1343 | 210  | 0.4790          | 24.2474 |
| 0.0543        | 3.3582 | 225  | 0.4931          | 31.8483 |
| 0.0506        | 3.5821 | 240  | 0.5087          | 25.3010 |
| 0.056         | 3.8060 | 255  | 0.4933          | 27.6942 |
| 0.0527        | 4.0299 | 270  | 0.5009          | 26.2543 |
| 0.0233        | 4.2537 | 285  | 0.5447          | 27.8999 |
| 0.0193        | 4.4776 | 300  | 0.5458          | 27.0570 |
| 0.0167        | 4.7015 | 315  | 0.5421          | 24.5384 |
| 0.0183        | 4.9254 | 330  | 0.5449          | 25.0953 |


### Framework versions

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