---
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-medium-RC1
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-medium-v0.8-vad3
  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-medium-v0.8-vad3

This model is a fine-tuned version of [NbAiLab/nb-whisper-medium-RC1](https://huggingface.co/NbAiLab/nb-whisper-medium-RC1) on the NbAiLab/ncc_speech_styling_v2_vad3 dataset.
It achieves the following results on the evaluation set:
- step: 49999
- validation_nst_loss: 0.4365
- train_loss: 0.4233
- validation_nst_wer: 2.4062
- validation_nst_cer: 0.7262
- validation_nst_exact_wer: 3.0867
- validation_nst_exact_cer: 0.8297
- validation_clean_stortinget_no_loss: 0.7815
- validation_clean_stortinget_no_wer: 9.0005
- validation_clean_stortinget_no_cer: 5.7907
- validation_clean_stortinget_no_exact_wer: 12.1101
- validation_clean_stortinget_no_exact_cer: 6.2732

## 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: 2.5e-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: 50,000
- starting_optimization_step: None
- finishing_optimization_step: 50,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 51,200,000
- steps_per_epoch: 7455
- 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     | 0.4223              | 0.8343     | 2.3463             | 0.7206             | 2.9397                   | 0.8105                   | 0.6313                              | 8.8868                             | 5.7697                             | 11.8752                                  | 6.2280                                   |
| 5000  | 0.4364              | 0.5289     | 2.6077             | 0.8063             | 3.2555                   | 0.9057                   | 0.6300                              | 9.1071                             | 5.8300                             | 12.0840                                  | 6.3028                                   |
| 10000 | 0.4353              | 0.4901     | 2.4824             | 0.7765             | 3.0867                   | 0.8709                   | 0.6463                              | 9.2563                             | 5.9382                             | 12.2144                                  | 6.4042                                   |
| 15000 | 0.4338              | 0.4760     | 2.4062             | 0.7290             | 3.0541                   | 0.8324                   | 0.6788                              | 9.0052                             | 5.7931                             | 12.0816                                  | 6.2720                                   |
| 20000 | 0.4343              | 0.4553     | 2.5695             | 0.7868             | 3.1956                   | 0.8819                   | 0.7058                              | 9.1710                             | 5.9434                             | 12.2168                                  | 6.4280                                   |
| 25000 | 0.4399              | 0.4476     | 2.4171             | 0.7439             | 3.0486                   | 0.8398                   | 0.7342                              | 9.2800                             | 5.9227                             | 12.3947                                  | 6.4081                                   |
| 30000 | 0.4356              | 0.4395     | 2.4008             | 0.7327             | 3.0377                   | 0.8288                   | 0.7352                              | 9.2279                             | 5.9985                             | 12.2975                                  | 6.4826                                   |
| 35000 | 0.4365              | 0.4371     | 2.5587             | 0.7756             | 3.2174                   | 0.8764                   | 0.7505                              | 9.1852                             | 5.8557                             | 12.2714                                  | 6.3383                                   |
| 40000 | 0.4358              | 0.4271     | 2.4607             | 0.7374             | 3.1248                   | 0.8389                   | 0.7643                              | 9.1118                             | 5.8569                             | 12.2334                                  | 6.3449                                   |
| 45000 | 0.4360              | 0.4211     | 2.5042             | 0.7458             | 3.0867                   | 0.8334                   | 0.7833                              | 9.1094                             | 5.8625                             | 12.1646                                  | 6.3383                                   |
| 49999 | 0.4365              | 0.4233     | 2.4062             | 0.7262             | 3.0867                   | 0.8297                   |
| 49999 | 0.7815              | 0.4233     | 9.0005             | 5.7907             | 12.1101                  | 6.2732                   |


### Framework versions

- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1