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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-base |
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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-base-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-base-v0.7-semantic |
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This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-base](https://huggingface.co/NbAiLabBeta/nb-whisper-base) 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: 0.7883 |
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- train_loss: 0.8748 |
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- validation_nst_wer: 5.3569 |
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- validation_nst_cer: 1.6919 |
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- validation_nst_exact_wer: 6.1244 |
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- validation_nst_exact_cer: 1.8077 |
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- validation_clean_stortinget_no_loss: 0.6909 |
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- validation_clean_stortinget_no_wer: 13.2615 |
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- validation_clean_stortinget_no_cer: 7.8992 |
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- validation_clean_stortinget_no_exact_wer: 16.9470 |
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- validation_clean_stortinget_no_exact_cer: 8.5431 |
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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: 0.0001 |
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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 | 0.4888 | 1.1200 | 5.6399 | 1.7618 | 6.4075 | 1.8792 | 0.6481 | 13.1075 | 7.4191 | 16.6481 | 8.0230 | |
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| 40 | 0.8222 | 1.0012 | 5.5202 | 1.7665 | 6.3422 | 1.8856 | 0.7037 | 13.3444 | 7.8759 | 16.8426 | 8.4830 | |
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| 80 | 0.8323 | 0.8735 | 5.6563 | 1.8085 | 6.4565 | 1.9277 | 0.7085 | 13.5505 | 8.1181 | 17.1629 | 8.7365 | |
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| 120 | 0.8210 | 0.8613 | 5.4331 | 1.6873 | 6.2388 | 1.8123 | 0.7040 | 13.3515 | 7.9877 | 17.0703 | 8.6261 | |
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| 160 | 0.8069 | 0.8800 | 5.4058 | 1.7516 | 6.1898 | 1.8673 | 0.6981 | 13.3325 | 8.0031 | 17.0395 | 8.6495 | |
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| 200 | 0.7985 | 0.8615 | 5.3569 | 1.6863 | 6.1571 | 1.8050 | 0.6937 | 13.2402 | 7.9655 | 16.9327 | 8.6074 | |
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| 240 | 0.7868 | 0.8575 | 5.3187 | 1.6705 | 6.1190 | 1.7913 | 0.6916 | 13.2473 | 7.9068 | 16.9399 | 8.5517 | |
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| 250 | 0.7883 | 0.8748 | 5.3569 | 1.6919 | 6.1244 | 1.8077 | 0.6909 | 13.2615 | 7.8992 | 16.9470 | 8.5431 | |
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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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