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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-large-v3-RC4 |
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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-large-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-large-v0.8-vad3 |
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This model is a fine-tuned version of [NbAiLab/nb-whisper-large-v3-RC4](https://huggingface.co/NbAiLab/nb-whisper-large-v3-RC4) 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: 0.4292 |
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- train_loss: 0.4893 |
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- validation_nst_wer: 2.2211 |
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- validation_nst_cer: 0.6628 |
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- validation_nst_exact_wer: 2.8145 |
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- validation_nst_exact_cer: 0.7555 |
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- validation_clean_stortinget_no_loss: 0.7534 |
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- validation_clean_stortinget_no_wer: 8.9128 |
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- validation_clean_stortinget_no_cer: 5.6979 |
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- validation_clean_stortinget_no_exact_wer: 11.8159 |
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- validation_clean_stortinget_no_exact_cer: 6.1484 |
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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: 7e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 8 |
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- total_train_batch_size_per_node: 32 |
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- total_train_batch_size: 1024 |
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- total_optimization_steps: 15,000 |
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- starting_optimization_step: 35,000 |
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- finishing_optimization_step: 50,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 32 |
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- total_num_training_examples: 51,200,000 |
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- steps_per_epoch: 24982 |
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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 | 0.4259 | 0.9588 | 2.1721 | 0.6246 | 2.7111 | 0.7079 | 0.6807 | 8.5931 | 5.4608 | 11.4221 | 5.8946 | |
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| 5000 | 0.4376 | 0.5822 | 2.5859 | 0.7793 | 3.0867 | 0.8563 | 0.6738 | 9.1686 | 5.8478 | 12.0792 | 6.3020 | |
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| 10000 | 0.4368 | 0.5675 | 2.5913 | 0.7271 | 3.2337 | 0.8269 | 0.6875 | 9.2705 | 5.9200 | 12.1741 | 6.3750 | |
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| 15000 | 0.4335 | 0.5403 | 2.3409 | 0.6936 | 2.9180 | 0.7821 | 0.7187 | 9.0834 | 5.7344 | 11.9962 | 6.1944 | |
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| 20000 | 0.4324 | 0.5187 | 2.3518 | 0.6945 | 2.9561 | 0.7857 | 0.7357 | 8.9839 | 5.7154 | 11.8610 | 6.1664 | |
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| 25000 | 0.4307 | 0.5158 | 2.3028 | 0.6712 | 2.9343 | 0.7711 | 0.7228 | 9.1284 | 5.8704 | 11.9915 | 6.3161 | |
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| 30000 | 0.4312 | 0.5108 | 2.2810 | 0.6656 | 2.8690 | 0.7564 | 0.7428 | 8.9010 | 5.6726 | 11.8349 | 6.1305 | |
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| 35000 | 0.4299 | 0.4908 | 2.2320 | 0.6768 | 2.8417 | 0.7729 | 0.7513 | 8.8015 | 5.6123 | 11.6854 | 6.0642 | |
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| 40000 | 0.4313 | 0.4865 | 2.2973 | 0.6917 | 2.8907 | 0.7839 | 0.7545 | 8.9057 | 5.6912 | 11.8491 | 6.1465 | |
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| 45000 | 0.4303 | 0.4849 | 2.2429 | 0.6665 | 2.8254 | 0.7564 | 0.7484 | 8.9578 | 5.7320 | 11.8752 | 6.1851 | |
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| 49999 | 0.4292 | 0.4893 | 2.2211 | 0.6628 | 2.8145 | 0.7555 | |
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| 49999 | 0.7534 | 0.4893 | 8.9128 | 5.6979 | 11.8159 | 6.1484 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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