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

This model is a fine-tuned version of [NbAiLab/nb-whisper-tiny-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-tiny-v0.8-vad3) on the NbAiLab/NPSC dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.6217
- train_loss: 0.5135
- validation_wer: 14.8034
- validation_cer: 5.2777
- validation_exact_wer: 15.0102
- validation_exact_cer: 5.3185

## 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: 0.00015
- 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    | 1.2428          | 1.2274     | 23.3208        | 12.5036        | 37.5903              | 15.7108              |
| 40   | 0.6608          | 0.6532     | 17.0908        | 6.1566         | 17.2721              | 6.2179               |
| 80   | 0.6306          | 0.6049     | 15.7542        | 5.6424         | 16.0029              | 5.7030               |
| 120  | 0.6208          | 0.5465     | 15.2676        | 5.4967         | 15.5573              | 5.5526               |
| 160  | 0.6187          | 0.5377     | 15.1334        | 5.4006         | 15.3260              | 5.4422               |
| 200  | 0.6178          | 0.5273     | 14.7475        | 5.2368         | 14.9763              | 5.2794               |
| 240  | 0.6192          | 0.5216     | 14.6133        | 5.2120         | 14.8579              | 5.2556               |
| 249  | 0.6217          | 0.5135     | 14.8034        | 5.2777         | 15.0102              | 5.3185               |


### Framework versions

- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1