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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: NbAiLabBeta/nb-whisper-medium |
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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-medium-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-medium-v0.7-semantic |
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This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-medium](https://huggingface.co/NbAiLabBeta/nb-whisper-medium) 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: 0.6407 |
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- train_loss: 0.6265 |
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- validation_nst_wer: 2.4389 |
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- validation_nst_cer: 0.7737 |
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- validation_nst_exact_wer: 3.1412 |
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- validation_nst_exact_cer: 0.8810 |
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- validation_clean_stortinget_no_loss: 0.7441 |
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- validation_clean_stortinget_no_wer: 9.1639 |
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- validation_clean_stortinget_no_cer: 5.9596 |
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- validation_clean_stortinget_no_exact_wer: 12.2050 |
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- validation_clean_stortinget_no_exact_cer: 6.4346 |
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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: 2.5e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 32 |
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- total_train_batch_size_per_node: 128 |
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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: 8 |
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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 | 0.4372 | 1.1581 | 2.2865 | 0.7038 | 2.9452 | 0.8059 | 0.7951 | 8.8939 | 5.6567 | 11.9393 | 6.1348 | |
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| 40 | 0.7551 | 0.7309 | 2.7546 | 0.9443 | 3.4950 | 1.0568 | 0.7489 | 9.8437 | 6.4691 | 12.9830 | 6.9559 | |
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| 80 | 0.7655 | 0.6341 | 2.5695 | 0.8250 | 3.3317 | 0.9414 | 0.7355 | 9.3794 | 6.1000 | 12.4090 | 6.5664 | |
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| 120 | 0.7493 | 0.6262 | 2.4716 | 0.8129 | 3.2283 | 0.9286 | 0.7432 | 9.3344 | 6.0544 | 12.3592 | 6.5247 | |
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| 160 | 0.7165 | 0.6353 | 2.5859 | 0.8259 | 3.3154 | 0.9378 | 0.7455 | 9.3179 | 6.0647 | 12.3852 | 6.5418 | |
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| 200 | 0.6678 | 0.6169 | 2.4661 | 0.7812 | 3.1575 | 0.8892 | 0.7430 | 9.2752 | 6.0298 | 12.3378 | 6.5079 | |
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| 240 | 0.6409 | 0.6385 | 2.4498 | 0.7849 | 3.1520 | 0.8911 | 0.7434 | 9.1900 | 5.9941 | 12.1931 | 6.4639 | |
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| 249 | 0.6407 | 0.6265 | 2.4389 | 0.7737 | 3.1412 | 0.8810 | |
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| 249 | 0.7441 | 0.6265 | 9.1639 | 5.9596 | 12.2050 | 6.4346 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.14.1 |
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