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

This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-base](https://huggingface.co/NbAiLabBeta/nb-whisper-base) on the NbAiLab/ncc_speech_styling_v4 dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_nst_loss: 0.7883
- train_loss: 0.8748
- validation_nst_wer: 5.3569
- validation_nst_cer: 1.6919
- validation_nst_exact_wer: 6.1244
- validation_nst_exact_cer: 1.8077
- validation_clean_stortinget_no_loss: 0.6909
- validation_clean_stortinget_no_wer: 13.2615
- validation_clean_stortinget_no_cer: 7.8992
- validation_clean_stortinget_no_exact_wer: 16.9470
- validation_clean_stortinget_no_exact_cer: 8.5431

## 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: 0.0001
- 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    | 0.4888              | 1.1200     | 5.6399             | 1.7618             | 6.4075                   | 1.8792                   | 0.6481                              | 13.1075                            | 7.4191                             | 16.6481                                  | 8.0230                                   |
| 40   | 0.8222              | 1.0012     | 5.5202             | 1.7665             | 6.3422                   | 1.8856                   | 0.7037                              | 13.3444                            | 7.8759                             | 16.8426                                  | 8.4830                                   |
| 80   | 0.8323              | 0.8735     | 5.6563             | 1.8085             | 6.4565                   | 1.9277                   | 0.7085                              | 13.5505                            | 8.1181                             | 17.1629                                  | 8.7365                                   |
| 120  | 0.8210              | 0.8613     | 5.4331             | 1.6873             | 6.2388                   | 1.8123                   | 0.7040                              | 13.3515                            | 7.9877                             | 17.0703                                  | 8.6261                                   |
| 160  | 0.8069              | 0.8800     | 5.4058             | 1.7516             | 6.1898                   | 1.8673                   | 0.6981                              | 13.3325                            | 8.0031                             | 17.0395                                  | 8.6495                                   |
| 200  | 0.7985              | 0.8615     | 5.3569             | 1.6863             | 6.1571                   | 1.8050                   | 0.6937                              | 13.2402                            | 7.9655                             | 16.9327                                  | 8.6074                                   |
| 240  | 0.7868              | 0.8575     | 5.3187             | 1.6705             | 6.1190                   | 1.7913                   | 0.6916                              | 13.2473                            | 7.9068                             | 16.9399                                  | 8.5517                                   |
| 250  | 0.7883              | 0.8748     | 5.3569             | 1.6919             | 6.1244                   | 1.8077                   | 0.6909                  | 13.2615            | 7.8992             | 16.9470                  | 8.5431                   |


### Framework versions

- Transformers 4.34.1
- Datasets 2.15.0
- Tokenizers 0.14.1