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

This model is a fine-tuned version of [NbAiLab/nb-whisper-small-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-small-v0.8-vad3) on the NbAiLab/NPSC dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.5783
- train_loss: 0.4395
- validation_wer: 9.3843
- validation_cer: 3.1287
- validation_exact_wer: 9.5329
- validation_exact_cer: 3.1513

## 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: 5e-05
- 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    | 1.4467          | 1.3978     | 19.2607        | 12.0780        | 34.1889              | 15.2244              |
| 40   | 0.5979          | 0.5311     | 10.8048        | 3.6534         | 10.9488              | 3.6881               |
| 80   | 0.5743          | 0.4963     | 9.9323         | 3.3896         | 10.0745              | 3.4130               |
| 120  | 0.5719          | 0.4591     | 9.8317         | 3.3754         | 9.9447               | 3.3959               |
| 160  | 0.5738          | 0.4571     | 9.5129         | 3.2325         | 9.6852               | 3.2569               |
| 200  | 0.5772          | 0.4494     | 9.4178         | 3.1392         | 9.5668               | 3.1618               |
| 240  | 0.5788          | 0.4449     | 9.3954         | 3.1192         | 9.5386               | 3.1418               |
| 249  | 0.5783          | 0.4395     | 9.3843         | 3.1287         | 9.5329               | 3.1513               |


### Framework versions

- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1