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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-v0.7 |
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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-semantic |
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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-semantic |
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This model is a fine-tuned version of [NbAiLab/nb-whisper-large-v0.7](https://huggingface.co/NbAiLab/nb-whisper-large-v0.7) on the NbAiLab/ncc_speech_styling_v4 dataset. |
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It achieves the following results on the evaluation set: |
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- step: 249 |
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- validation_nst_loss: 0.5702 |
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- train_loss: 0.7256 |
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- validation_nst_wer: 2.2157 |
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- validation_nst_cer: 0.7047 |
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- validation_nst_exact_wer: 2.7819 |
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- validation_nst_exact_cer: 0.7949 |
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- validation_clean_stortinget_no_loss: 0.6889 |
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- validation_clean_stortinget_no_wer: 9.2705 |
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- validation_clean_stortinget_no_cer: 6.0401 |
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- validation_clean_stortinget_no_exact_wer: 12.1907 |
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- validation_clean_stortinget_no_exact_cer: 6.5036 |
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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: 250 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 250 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 32 |
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- total_num_training_examples: 256,000 |
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- steps_per_epoch: _To be computed after first epoch_ |
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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 | 0.4293 | 1.1323 | 2.1830 | 0.6702 | 2.7220 | 0.7519 | 0.7055 | 8.9815 | 5.7582 | 11.8396 | 6.2120 | |
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| 40 | 0.6010 | 0.7610 | 2.2973 | 0.7215 | 2.9996 | 0.8297 | 0.6828 | 9.5026 | 6.1967 | 12.4635 | 6.6537 | |
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| 80 | 0.5735 | 0.7486 | 2.2973 | 0.7327 | 2.8690 | 0.8224 | 0.6801 | 9.3510 | 6.0762 | 12.2809 | 6.5375 | |
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| 120 | 0.5715 | 0.7146 | 2.2266 | 0.7038 | 2.8200 | 0.7967 | 0.6846 | 9.4008 | 6.1261 | 12.2975 | 6.5804 | |
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| 160 | 0.5733 | 0.7211 | 2.2211 | 0.7094 | 2.8091 | 0.8031 | 0.6925 | 9.3108 | 6.0520 | 12.2239 | 6.5134 | |
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| 200 | 0.5703 | 0.7194 | 2.2157 | 0.7057 | 2.7601 | 0.7921 | 0.6905 | 9.2326 | 6.0104 | 12.1623 | 6.4724 | |
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| 240 | 0.5691 | 0.7292 | 2.2157 | 0.7057 | 2.7710 | 0.7931 | 0.6885 | 9.2729 | 6.0401 | 12.1860 | 6.5013 | |
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| 250 | 0.5702 | 0.7256 | 2.2157 | 0.7047 | 2.7819 | 0.7949 | 0.6889 | 9.2705 | 6.0401 | 12.1907 | 6.5036 | |
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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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