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

This model is a fine-tuned version of [NbAiLab/nb-whisper-large-v0.7](https://huggingface.co/NbAiLab/nb-whisper-large-v0.7) on the NbAiLab/ncc_speech_styling_v4 dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_nst_loss: 0.5702
- train_loss: 0.7256
- validation_nst_wer: 2.2157
- validation_nst_cer: 0.7047
- validation_nst_exact_wer: 2.7819
- validation_nst_exact_cer: 0.7949
- validation_clean_stortinget_no_loss: 0.6889
- validation_clean_stortinget_no_wer: 9.2705
- validation_clean_stortinget_no_cer: 6.0401
- validation_clean_stortinget_no_exact_wer: 12.1907
- validation_clean_stortinget_no_exact_cer: 6.5036

## 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: _To be computed after first epoch_
- 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    | 0.4293              | 1.1323     | 2.1830             | 0.6702             | 2.7220                   | 0.7519                   | 0.7055                              | 8.9815                             | 5.7582                             | 11.8396                                  | 6.2120                                   |
| 40   | 0.6010              | 0.7610     | 2.2973             | 0.7215             | 2.9996                   | 0.8297                   | 0.6828                              | 9.5026                             | 6.1967                             | 12.4635                                  | 6.6537                                   |
| 80   | 0.5735              | 0.7486     | 2.2973             | 0.7327             | 2.8690                   | 0.8224                   | 0.6801                              | 9.3510                             | 6.0762                             | 12.2809                                  | 6.5375                                   |
| 120  | 0.5715              | 0.7146     | 2.2266             | 0.7038             | 2.8200                   | 0.7967                   | 0.6846                              | 9.4008                             | 6.1261                             | 12.2975                                  | 6.5804                                   |
| 160  | 0.5733              | 0.7211     | 2.2211             | 0.7094             | 2.8091                   | 0.8031                   | 0.6925                              | 9.3108                             | 6.0520                             | 12.2239                                  | 6.5134                                   |
| 200  | 0.5703              | 0.7194     | 2.2157             | 0.7057             | 2.7601                   | 0.7921                   | 0.6905                              | 9.2326                             | 6.0104                             | 12.1623                                  | 6.4724                                   |
| 240  | 0.5691              | 0.7292     | 2.2157             | 0.7057             | 2.7710                   | 0.7931                   | 0.6885                              | 9.2729                             | 6.0401                             | 12.1860                                  | 6.5013                                   |
| 250  | 0.5702              | 0.7256     | 2.2157             | 0.7047             | 2.7819                   | 0.7949                   | 0.6889               | 9.2705             | 6.0401             | 12.1907                  | 6.5036                   |


### Framework versions

- Transformers 4.35.2
- Datasets 2.15.0
- Tokenizers 0.14.1