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+---
+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