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---
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language:
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- 'no'
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license: apache-2.0
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base_model: NbAiLab/nb-whisper-small-RC1
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tags:
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- audio
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- asr
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- automatic-speech-recognition
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- hf-asr-leaderboard
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model-index:
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- name: nb-whisper-small-v0.8-vad3
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# nb-whisper-small-v0.8-vad3
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This model is a fine-tuned version of [NbAiLab/nb-whisper-small-RC1](https://huggingface.co/NbAiLab/nb-whisper-small-RC1) on the NbAiLab/ncc_speech_styling_v2_vad3 dataset.
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It achieves the following results on the evaluation set:
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- step: 49999
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- validation_nst_loss: 0.4444
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- train_loss: 0.4400
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- validation_nst_wer: 3.0595
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- validation_nst_cer: 0.9443
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- validation_nst_exact_wer: 3.7237
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- validation_nst_exact_cer: 1.0431
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- validation_clean_stortinget_no_loss: 0.7056
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- validation_clean_stortinget_no_wer: 10.0663
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- validation_clean_stortinget_no_cer: 6.2768
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- validation_clean_stortinget_no_exact_wer: 13.4172
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- validation_clean_stortinget_no_exact_cer: 6.8042
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- lr_scheduler_type: linear
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- per_device_train_batch_size: 32
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- total_train_batch_size_per_node: 128
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- total_train_batch_size: 1024
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- total_optimization_steps: 50,000
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- starting_optimization_step: None
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- finishing_optimization_step: 50,000
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- num_train_dataset_workers: 32
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- num_hosts: 8
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- total_num_training_examples: 51,200,000
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- steps_per_epoch: 7455
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- num_beams: None
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- weight_decay: 0.01
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- adam_beta1: 0.9
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- adam_beta2: 0.98
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- adam_epsilon: 1e-06
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- dropout: True
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- bpe_dropout_probability: 0.2
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- activation_dropout_probability: 0.1
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### Training results
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| 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 |
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|:-----:|:-------------------:|:----------:|:------------------:|:------------------:|:------------------------:|:------------------------:|:-----------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------------:|:----------------------------------------:|
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| 0 | 0.4313 | 1.0396 | 2.8254 | 0.8865 | 3.5168 | 0.9900 | 0.5547 | 9.6092 | 5.9949 | 12.6794 | 6.4755 |
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| 5000 | 0.4484 | 0.5692 | 3.2010 | 1.0142 | 3.8870 | 1.1172 | 0.6138 | 10.1824 | 6.1896 | 13.4124 | 6.6954 |
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| 10000 | 0.4477 | 0.5317 | 3.3589 | 1.0347 | 4.0176 | 1.1337 | 0.6275 | 10.3316 | 6.4310 | 13.6022 | 6.9442 |
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| 15000 | 0.4493 | 0.5132 | 3.3099 | 1.0086 | 3.9904 | 1.1145 | 0.6599 | 10.2203 | 6.3042 | 13.4100 | 6.8175 |
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| 20000 | 0.4491 | 0.4911 | 3.2283 | 1.0226 | 3.8924 | 1.1227 | 0.6755 | 10.1421 | 6.3188 | 13.4409 | 6.8428 |
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| 25000 | 0.4441 | 0.4766 | 3.1575 | 0.9816 | 3.8924 | 1.0898 | 0.6763 | 10.2700 | 6.3383 | 13.5951 | 6.8658 |
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| 30000 | 0.4498 | 0.4632 | 3.1357 | 0.9741 | 3.8543 | 1.0797 | 0.6599 | 10.2274 | 6.3787 | 13.5144 | 6.8974 |
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| 35000 | 0.4480 | 0.4523 | 3.0432 | 0.9378 | 3.7727 | 1.0486 | 0.6948 | 10.2416 | 6.3617 | 13.5547 | 6.8912 |
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| 40000 | 0.4471 | 0.4606 | 3.0486 | 0.9080 | 3.7291 | 1.0101 | 0.6754 | 10.2155 | 6.3375 | 13.5097 | 6.8506 |
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| 45000 | 0.4442 | 0.4412 | 2.9778 | 0.9275 | 3.6366 | 1.0229 | 0.7021 | 10.1468 | 6.2994 | 13.5286 | 6.8358 |
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| 49999 | 0.4444 | 0.4400 | 3.0595 | 0.9443 | 3.7237 | 1.0431 |
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| 49999 | 0.7056 | 0.4400 | 10.0663 | 6.2768 | 13.4172 | 6.8042 |
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### Framework versions
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- Transformers 4.34.1
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- Datasets 2.16.1
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- Tokenizers 0.14.1
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