---
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-large-v3-RC4
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-large-v0.7
  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-v0.7

This model is a fine-tuned version of [NbAiLab/nb-whisper-large-v3-RC4](https://huggingface.co/NbAiLab/nb-whisper-large-v3-RC4) on the NbAiLab/ncc_speech_styling_v2 dataset.
It achieves the following results on the evaluation set:
- step: 49999
- validation_nst_loss: 0.4299
- train_loss: 0.4933
- validation_nst_wer: 2.1830
- validation_nst_cer: 0.6702
- validation_nst_exact_wer: 2.7220
- validation_nst_exact_cer: 0.7519
- validation_clean_stortinget_no_loss: 0.7253
- validation_clean_stortinget_no_wer: 8.9886
- validation_clean_stortinget_no_cer: 5.7594
- validation_clean_stortinget_no_exact_wer: 11.8515
- validation_clean_stortinget_no_exact_cer: 6.2132

## 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: 50,000
- starting_optimization_step: None
- finishing_optimization_step: 50,000
- num_train_dataset_workers: 32
- num_hosts: 32
- total_num_training_examples: 51,200,000
- steps_per_epoch: 7798
- 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_nst_loss | train_loss | validation_nst_wer | validation_nst_cer | validation_nst_exact_wer | validation_nst_exact_cer | validation_clean_stortinget_no_loss | validation_clean_stortinget_no_wer | validation_clean_stortinget_no_cer | validation_clean_stortinget_no_exact_wer | validation_clean_stortinget_no_exact_cer |
|:-----:|:-------------------:|:----------:|:------------------:|:------------------:|:------------------------:|:------------------------:|:-----------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------------:|:----------------------------------------:|
| 0     | 0.4271              | 0.9562     | 2.1721             | 0.6246             | 2.7056                   | 0.7070                   | 0.6866                              | 8.5836                             | 5.4517                             | 11.4126                                  | 5.8853                                   |
| 5000  | 0.4400              | 0.5815     | 2.6621             | 0.7765             | 3.1629                   | 0.8526                   | 0.7085                              | 9.1000                             | 5.7626                             | 12.1172                                  | 6.2354                                   |
| 10000 | 0.4377              | 0.5548     | 2.2701             | 0.6740             | 2.9016                   | 0.7720                   | 0.6845                              | 9.2823                             | 5.9461                             | 12.1717                                  | 6.4073                                   |
| 15000 | 0.4332              | 0.5112     | 2.3246             | 0.6917             | 2.8799                   | 0.7775                   | 0.7101                              | 9.1307                             | 5.8030                             | 11.9654                                  | 6.2408                                   |
| 20000 | 0.4345              | 0.5066     | 2.3518             | 0.7122             | 2.8962                   | 0.7940                   | 0.7083                              | 9.0668                             | 5.8133                             | 11.9867                                  | 6.2755                                   |
| 25000 | 0.4315              | 0.4955     | 2.2266             | 0.6740             | 2.7873                   | 0.7601                   | 0.7034                              | 9.0313                             | 5.7971                             | 11.9535                                  | 6.2588                                   |
| 30000 | 0.4332              | 0.4936     | 2.2429             | 0.6936             | 2.7764                   | 0.7757                   | 0.7110                              | 8.9957                             | 5.7534                             | 11.8230                                  | 6.1968                                   |
| 35000 | 0.4311              | 0.4947     | 2.2102             | 0.6777             | 2.7438                   | 0.7592                   | 0.7138                              | 9.0076                             | 5.7879                             | 11.8752                                  | 6.2463                                   |
| 40000 | 0.4305              | 0.5026     | 2.2048             | 0.6805             | 2.7492                   | 0.7638                   | 0.7259                              | 8.9152                             | 5.6809                             | 11.7827                                  | 6.1356                                   |
| 45000 | 0.4309              | 0.4815     | 2.1612             | 0.6572             | 2.7111                   | 0.7436                   | 0.7293                              | 9.0265                             | 5.7800                             | 11.9179                                  | 6.2404                                   |
| 50000 | 0.4299              | 0.4933     | 2.1830             | 0.6702             | 2.7220                   | 0.7519                   | 0.7253                 | 8.9886             | 5.7594             | 11.8515                  | 6.2132                   |


### Framework versions

- Transformers 4.35.2
- Datasets 2.15.0
- Tokenizers 0.14.1