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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-v0.7 |
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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-v0.7 |
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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 dataset. |
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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: 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: 32 |
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- total_num_training_examples: 51,200,000 |
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- steps_per_epoch: 7798 |
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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 | 0.4271 | 0.9562 | 2.1721 | 0.6246 | 2.7056 | 0.7070 | 0.6866 | 8.5836 | 5.4517 | 11.4126 | 5.8853 | |
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| 5000 | 0.4400 | 0.5815 | 2.6621 | 0.7765 | 3.1629 | 0.8526 | 0.7085 | 9.1000 | 5.7626 | 12.1172 | 6.2354 | |
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| 10000 | 0.4377 | 0.5548 | 2.2701 | 0.6740 | 2.9016 | 0.7720 | 0.6845 | 9.2823 | 5.9461 | 12.1717 | 6.4073 | |
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| 15000 | 0.4332 | 0.5112 | 2.3246 | 0.6917 | 2.8799 | 0.7775 | 0.7101 | 9.1307 | 5.8030 | 11.9654 | 6.2408 | |
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| 20000 | 0.4345 | 0.5066 | 2.3518 | 0.7122 | 2.8962 | 0.7940 | 0.7083 | 9.0668 | 5.8133 | 11.9867 | 6.2755 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.14.1 |
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