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

This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-large](https://huggingface.co/NbAiLabBeta/nb-whisper-large) on the NbAiLab/NPSC dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.5839
- train_loss: 0.4632
- validation_wer: 7.9358
- validation_cer: 2.5127
- validation_exact_wer: 8.0494
- validation_exact_cer: 2.5279

## 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: 7e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 8
- total_train_batch_size_per_node: 32
- total_train_batch_size: 1024
- total_optimization_steps: 250
- starting_optimization_step: None
- finishing_optimization_step: 250
- num_train_dataset_workers: 32
- num_hosts: 32
- total_num_training_examples: 256,000
- steps_per_epoch: 97
- 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    | 1.2831          | 1.1864     | 18.9083        | 11.8409        | 33.9801              | 15.0322              |
| 40   | 0.5952          | 0.4958     | 8.9760         | 2.9212         | 9.1099               | 2.9390               |
| 80   | 0.5848          | 0.4761     | 8.3105         | 2.6432         | 8.4330               | 2.6621               |
| 120  | 0.5831          | 0.4492     | 8.1204         | 2.5679         | 8.2356               | 2.5821               |
| 160  | 0.5811          | 0.4678     | 7.9302         | 2.5051         | 8.0438               | 2.5193               |
| 200  | 0.5840          | 0.4692     | 7.9861         | 2.5346         | 8.0945               | 2.5498               |
| 240  | 0.5844          | 0.4543     | 7.9246         | 2.5051         | 8.0381               | 2.5193               |
| 249  | 0.5839          | 0.4632     | 7.9358         | 2.5127         | 8.0494               | 2.5279               |


### Framework versions

- Transformers 4.36.2
- Datasets 2.16.1
- Tokenizers 0.15.0