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+---
+language:
+- 'no'
+license: apache-2.0
+base_model: NbAiLabBeta/nb-whisper-medium
+tags:
+- audio
+- asr
+- automatic-speech-recognition
+- hf-asr-leaderboard
+model-index:
+- name: nb-whisper-medium-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-medium-v0.7-semantic
+
+This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-medium](https://huggingface.co/NbAiLabBeta/nb-whisper-medium) on the NbAiLab/ncc_speech_styling_v4 dataset.
+It achieves the following results on the evaluation set:
+- step: 249
+- validation_nst_loss: 0.6407
+- train_loss: 0.6265
+- validation_nst_wer: 2.4389
+- validation_nst_cer: 0.7737
+- validation_nst_exact_wer: 3.1412
+- validation_nst_exact_cer: 0.8810
+- validation_clean_stortinget_no_loss: 0.7441
+- validation_clean_stortinget_no_wer: 9.1639
+- validation_clean_stortinget_no_cer: 5.9596
+- validation_clean_stortinget_no_exact_wer: 12.2050
+- validation_clean_stortinget_no_exact_cer: 6.4346
+
+## 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: 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    | 0.4372              | 1.1581     | 2.2865             | 0.7038             | 2.9452                   | 0.8059                   | 0.7951                              | 8.8939                             | 5.6567                             | 11.9393                                  | 6.1348                                   |
+| 40   | 0.7551              | 0.7309     | 2.7546             | 0.9443             | 3.4950                   | 1.0568                   | 0.7489                              | 9.8437                             | 6.4691                             | 12.9830                                  | 6.9559                                   |
+| 80   | 0.7655              | 0.6341     | 2.5695             | 0.8250             | 3.3317                   | 0.9414                   | 0.7355                              | 9.3794                             | 6.1000                             | 12.4090                                  | 6.5664                                   |
+| 120  | 0.7493              | 0.6262     | 2.4716             | 0.8129             | 3.2283                   | 0.9286                   | 0.7432                              | 9.3344                             | 6.0544                             | 12.3592                                  | 6.5247                                   |
+| 160  | 0.7165              | 0.6353     | 2.5859             | 0.8259             | 3.3154                   | 0.9378                   | 0.7455                              | 9.3179                             | 6.0647                             | 12.3852                                  | 6.5418                                   |
+| 200  | 0.6678              | 0.6169     | 2.4661             | 0.7812             | 3.1575                   | 0.8892                   | 0.7430                              | 9.2752                             | 6.0298                             | 12.3378                                  | 6.5079                                   |
+| 240  | 0.6409              | 0.6385     | 2.4498             | 0.7849             | 3.1520                   | 0.8911                   | 0.7434                              | 9.1900                             | 5.9941                             | 12.1931                                  | 6.4639                                   |
+| 249  | 0.6407              | 0.6265     | 2.4389             | 0.7737             | 3.1412                   | 0.8810                   |
+| 249  | 0.7441              | 0.6265     | 9.1639             | 5.9596             | 12.2050                  | 6.4346                   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Datasets 2.15.0
+- Tokenizers 0.14.1