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

This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-small](https://huggingface.co/NbAiLabBeta/nb-whisper-small) on the NbAiLab/ncc_speech_styling_v4 dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_nst_loss: 0.6651
- train_loss: 0.7577
- validation_nst_wer: 3.1520
- validation_nst_cer: 0.9723
- validation_nst_exact_wer: 3.9305
- validation_nst_exact_cer: 1.0907
- validation_clean_stortinget_no_loss: 0.6931
- validation_clean_stortinget_no_wer: 10.0616
- validation_clean_stortinget_no_cer: 6.2843
- validation_clean_stortinget_no_exact_wer: 13.4693
- validation_clean_stortinget_no_exact_cer: 6.8299

## 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: _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    | 0.4428              | 1.3025     | 3.0160             | 0.9359             | 3.7835                   | 1.0513                   | 0.7127                              | 9.9100                             | 6.1361                             | 13.3223                                  | 6.6798                                   |
| 40   | 0.6682              | 0.8769     | 3.4732             | 1.2370             | 4.4423                   | 1.3773                   | 0.6724                              | 10.9593                            | 7.0159                             | 14.4443                                  | 7.5606                                   |
| 80   | 0.6729              | 0.7636     | 3.2664             | 1.0338             | 4.1102                   | 1.1575                   | 0.6495                              | 10.2037                            | 6.3692                             | 13.5785                                  | 6.8974                                   |
| 120  | 0.6729              | 0.7334     | 3.2500             | 1.0310             | 4.0666                   | 1.1530                   | 0.6760                              | 10.1232                            | 6.3145                             | 13.4646                                  | 6.8420                                   |
| 160  | 0.6740              | 0.7517     | 3.1412             | 0.9788             | 3.9033                   | 1.0925                   | 0.6922                              | 10.0734                            | 6.2954                             | 13.4243                                  | 6.8245                                   |
| 200  | 0.6677              | 0.7282     | 3.1575             | 0.9751             | 3.9196                   | 1.0898                   | 0.6981                              | 10.0924                            | 6.3054                             | 13.4741                                  | 6.8416                                   |
| 240  | 0.6658              | 0.7448     | 3.1520             | 0.9919             | 3.9196                   | 1.1081                   | 0.6929                              | 10.0379                            | 6.2800                             | 13.4599                                  | 6.8288                                   |
| 249  | 0.6651              | 0.7577     | 3.1520             | 0.9723             | 3.9305                   | 1.0907                   |
| 249  | 0.6931              | 0.7577     | 10.0616            | 6.2843             | 13.4693                  | 6.8299                   |


### Framework versions

- Transformers 4.34.1
- Datasets 2.15.0
- Tokenizers 0.14.1