---
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-base-v0.8-vad3
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-base-v0.8-vad3-verbatim
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# nb-whisper-base-v0.8-vad3-verbatim

This model is a fine-tuned version of [NbAiLab/nb-whisper-base-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-base-v0.8-vad3) on the NbAiLab/NPSC dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.5419
- train_loss: 0.4718
- validation_wer: 11.3249
- validation_cer: 3.9000
- validation_exact_wer: 11.5693
- validation_exact_cer: 3.9375

## 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: 0.0001
- lr_scheduler_type: linear
- per_device_train_batch_size: 32
- total_train_batch_size_per_node: 128
- total_train_batch_size: 1024
- total_optimization_steps: 250
- starting_optimization_step: None
- finishing_optimization_step: 250
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 256,000
- steps_per_epoch: 45
- num_beams: None
- weight_decay: 0.01
- adam_beta1: 0.9
- adam_beta2: 0.98
- adam_epsilon: 1e-06
- dropout: True
- bpe_dropout_probability: 0.2
- activation_dropout_probability: 0.1

### Training results

| step | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer |
|:----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:|
| 0    | 1.2371          | 1.2082     | 21.0503        | 11.5619        | 35.6160              | 14.7314              |
| 40   | 0.5799          | 0.5877     | 13.1592        | 4.4751         | 13.4138              | 4.5352               |
| 80   | 0.5521          | 0.5398     | 11.8506        | 4.0542         | 12.0939              | 4.0935               |
| 120  | 0.5469          | 0.4995     | 11.6884        | 3.9923         | 11.9641              | 4.0345               |
| 160  | 0.5441          | 0.4875     | 11.3864        | 3.9305         | 11.6257              | 3.9651               |
| 200  | 0.5422          | 0.4770     | 11.3808        | 3.9209         | 11.6370              | 3.9631               |
| 240  | 0.5417          | 0.4789     | 11.2913        | 3.8886         | 11.5241              | 3.9251               |
| 249  | 0.5419          | 0.4718     | 11.3249        | 3.9000         | 11.5693              | 3.9375               |


### Framework versions

- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1