| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| base_model: NbAiLab/nb-whisper-small-RC1 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: nb-whisper-small-v0.8-vad3 |
| 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-v0.8-vad3 |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - step: 49999 |
| - validation_nst_loss: 0.4444 |
| - train_loss: 0.4400 |
| - validation_nst_wer: 3.0595 |
| - validation_nst_cer: 0.9443 |
| - validation_nst_exact_wer: 3.7237 |
| - validation_nst_exact_cer: 1.0431 |
| - validation_clean_stortinget_no_loss: 0.7056 |
| - validation_clean_stortinget_no_wer: 10.0663 |
| - validation_clean_stortinget_no_cer: 6.2768 |
| - validation_clean_stortinget_no_exact_wer: 13.4172 |
| - validation_clean_stortinget_no_exact_cer: 6.8042 |
| |
| ## 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: 50,000 |
| - starting_optimization_step: None |
| - finishing_optimization_step: 50,000 |
| - num_train_dataset_workers: 32 |
| - num_hosts: 8 |
| - total_num_training_examples: 51,200,000 |
| - steps_per_epoch: 7455 |
| - 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 | 0.4313 | 1.0396 | 2.8254 | 0.8865 | 3.5168 | 0.9900 | 0.5547 | 9.6092 | 5.9949 | 12.6794 | 6.4755 | |
| | 5000 | 0.4484 | 0.5692 | 3.2010 | 1.0142 | 3.8870 | 1.1172 | 0.6138 | 10.1824 | 6.1896 | 13.4124 | 6.6954 | |
| | 10000 | 0.4477 | 0.5317 | 3.3589 | 1.0347 | 4.0176 | 1.1337 | 0.6275 | 10.3316 | 6.4310 | 13.6022 | 6.9442 | |
| | 15000 | 0.4493 | 0.5132 | 3.3099 | 1.0086 | 3.9904 | 1.1145 | 0.6599 | 10.2203 | 6.3042 | 13.4100 | 6.8175 | |
| | 20000 | 0.4491 | 0.4911 | 3.2283 | 1.0226 | 3.8924 | 1.1227 | 0.6755 | 10.1421 | 6.3188 | 13.4409 | 6.8428 | |
| | 25000 | 0.4441 | 0.4766 | 3.1575 | 0.9816 | 3.8924 | 1.0898 | 0.6763 | 10.2700 | 6.3383 | 13.5951 | 6.8658 | |
| | 30000 | 0.4498 | 0.4632 | 3.1357 | 0.9741 | 3.8543 | 1.0797 | 0.6599 | 10.2274 | 6.3787 | 13.5144 | 6.8974 | |
| | 35000 | 0.4480 | 0.4523 | 3.0432 | 0.9378 | 3.7727 | 1.0486 | 0.6948 | 10.2416 | 6.3617 | 13.5547 | 6.8912 | |
| | 40000 | 0.4471 | 0.4606 | 3.0486 | 0.9080 | 3.7291 | 1.0101 | 0.6754 | 10.2155 | 6.3375 | 13.5097 | 6.8506 | |
| | 45000 | 0.4442 | 0.4412 | 2.9778 | 0.9275 | 3.6366 | 1.0229 | 0.7021 | 10.1468 | 6.2994 | 13.5286 | 6.8358 | |
| | 49999 | 0.4444 | 0.4400 | 3.0595 | 0.9443 | 3.7237 | 1.0431 | |
| | 49999 | 0.7056 | 0.4400 | 10.0663 | 6.2768 | 13.4172 | 6.8042 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.1 |
| - Datasets 2.16.1 |
| - Tokenizers 0.14.1 |
| |
