| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| base_model: NbAiLab/nb-whisper-tiny-v0.8-vad3 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: nb-whisper-tiny-v0.8-vad3-verbatim |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # nb-whisper-tiny-v0.8-vad3-verbatim |
|
|
| This model is a fine-tuned version of [NbAiLab/nb-whisper-tiny-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-tiny-v0.8-vad3) on the NbAiLab/NPSC dataset. |
| It achieves the following results on the evaluation set: |
| - step: 249 |
| - validation_loss: 0.6217 |
| - train_loss: 0.5135 |
| - validation_wer: 14.8034 |
| - validation_cer: 5.2777 |
| - validation_exact_wer: 15.0102 |
| - validation_exact_cer: 5.3185 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.00015 |
| - lr_scheduler_type: linear |
| - per_device_train_batch_size: 32 |
| - total_train_batch_size_per_node: 128 |
| - total_train_batch_size: 1024 |
| - total_optimization_steps: 250 |
| - starting_optimization_step: None |
| - finishing_optimization_step: 250 |
| - num_train_dataset_workers: 32 |
| - num_hosts: 8 |
| - total_num_training_examples: 256,000 |
| - steps_per_epoch: 45 |
| - num_beams: None |
| - weight_decay: 0.01 |
| - adam_beta1: 0.9 |
| - adam_beta2: 0.98 |
| - adam_epsilon: 1e-06 |
| - dropout: True |
| - bpe_dropout_probability: 0.2 |
| - activation_dropout_probability: 0.1 |
| |
| ### Training results |
| |
| | step | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer | |
| |:----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:| |
| | 0 | 1.2428 | 1.2274 | 23.3208 | 12.5036 | 37.5903 | 15.7108 | |
| | 40 | 0.6608 | 0.6532 | 17.0908 | 6.1566 | 17.2721 | 6.2179 | |
| | 80 | 0.6306 | 0.6049 | 15.7542 | 5.6424 | 16.0029 | 5.7030 | |
| | 120 | 0.6208 | 0.5465 | 15.2676 | 5.4967 | 15.5573 | 5.5526 | |
| | 160 | 0.6187 | 0.5377 | 15.1334 | 5.4006 | 15.3260 | 5.4422 | |
| | 200 | 0.6178 | 0.5273 | 14.7475 | 5.2368 | 14.9763 | 5.2794 | |
| | 240 | 0.6192 | 0.5216 | 14.6133 | 5.2120 | 14.8579 | 5.2556 | |
| | 249 | 0.6217 | 0.5135 | 14.8034 | 5.2777 | 15.0102 | 5.3185 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.1 |
| - Datasets 2.16.1 |
| - Tokenizers 0.14.1 |
| |
