| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| base_model: NbAiLab/nb-whisper-tiny-v0.7 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: nb-whisper-tiny-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-tiny-v0.7-semantic |
|
|
| This model is a fine-tuned version of [NbAiLab/nb-whisper-tiny-v0.7](https://huggingface.co/NbAiLab/nb-whisper-tiny-v0.7) on the NbAiLab/ncc_speech_styling_v4 dataset. |
| It achieves the following results on the evaluation set: |
| - step: 249 |
| - validation_nst_loss: 0.6579 |
| - train_loss: 1.2508 |
| - validation_nst_wer: 8.8029 |
| - validation_nst_cer: 2.9662 |
| - validation_nst_exact_wer: 9.6358 |
| - validation_nst_exact_cer: 3.0880 |
| - validation_clean_stortinget_no_loss: 0.7202 |
| - validation_clean_stortinget_no_wer: 16.5324 |
| - validation_clean_stortinget_no_cer: 9.1926 |
| - validation_clean_stortinget_no_exact_wer: 20.6476 |
| - validation_clean_stortinget_no_exact_cer: 9.9178 |
|
|
| ## 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: 0.00015 |
| - 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 | 0.5155 | 1.4782 | 7.9155 | 2.5430 | 8.7103 | 2.6640 | 0.7153 | 15.8148 | 8.6090 | 19.7201 | 9.3061 | |
| | 40 | 0.5328 | 1.3581 | 8.6232 | 2.8926 | 9.6031 | 3.0477 | 0.7058 | 17.0843 | 9.6747 | 21.3213 | 10.4075 | |
| | 80 | 0.6321 | 1.1988 | 8.8464 | 3.1266 | 9.7447 | 3.2629 | 0.7131 | 16.8712 | 9.3548 | 20.9062 | 10.0570 | |
| | 120 | 0.6456 | 1.1956 | 8.7757 | 3.0306 | 9.6630 | 3.1585 | 0.7165 | 16.7243 | 9.2521 | 20.8113 | 9.9704 | |
| | 160 | 0.6455 | 1.2386 | 8.7648 | 2.9784 | 9.6195 | 3.1081 | 0.7188 | 16.7030 | 9.2259 | 20.8967 | 9.9658 | |
| | 200 | 0.6576 | 1.1753 | 8.6777 | 2.9336 | 9.4888 | 3.0559 | 0.7202 | 16.5917 | 9.1859 | 20.7188 | 9.9205 | |
| | 240 | 0.6577 | 1.1923 | 8.9226 | 2.9923 | 9.7338 | 3.1100 | 0.7214 | 16.6272 | 9.2176 | 20.7211 | 9.9396 | |
| | 249 | 0.6579 | 1.2508 | 8.8029 | 2.9662 | 9.6358 | 3.0880 | |
| | 249 | 0.7202 | 1.2508 | 16.5324 | 9.1926 | 20.6476 | 9.9178 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Datasets 2.15.0 |
| - Tokenizers 0.14.1 |
|
|
