| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: scream_small_beta |
| 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. --> |
|
|
| # scream_small_beta |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NbAiLab/ncc_speech dataset. |
| |
| ## 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: 5e-05 |
| - 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: 25,000 |
| - starting_optimization_step: None |
| - finishing_optimization_step: 25,000 |
| - num_train_dataset_workers: 32 |
| - num_hosts: 8 |
| - total_num_training_examples: 25,600,000 |
| - steps_per_epoch: 6259 |
| - num_beams: None |
| - dropout: True |
| - bpe_dropout_probability: 0.1 |
|
|
| ### Training results |
|
|
| | step | validation_fleurs_loss | train_loss | validation_fleurs_wer | validation_fleurs_cer | validation_fleurs_exact_wer | validation_fleurs_exact_cer | validation_stortinget_loss | validation_stortinget_wer | validation_stortinget_cer | validation_stortinget_exact_wer | validation_stortinget_exact_cer | validation_nrk_tv_loss | validation_nrk_tv_wer | validation_nrk_tv_cer | validation_nrk_tv_exact_wer | validation_nrk_tv_exact_cer | |
| |:----:|:----------------------:|:----------:|:---------------------:|:---------------------:|:---------------------------:|:---------------------------:|:--------------------------:|:-------------------------:|:-------------------------:|:-------------------------------:|:-------------------------------:|:----------------------:|:---------------------:|:---------------------:|:---------------------------:|:---------------------------:| |
| | 0 | 1.2013 | 2.7117 | 32.3914 | 9.8343 | 35.7228 | 10.9398 | 1.4988 | 44.0673 | 22.9444 | 48.2612 | 24.2595 | 1.8165 | 79.9390 | 54.6020 | 89.7612 | 56.8482 | |
| | 1000 | 0.5796 | 1.0147 | 16.1214 | 5.2624 | 19.9821 | 6.2962 | 0.4822 | 22.0502 | 13.3652 | 25.7586 | 14.0827 | 1.0170 | 51.9187 | 37.4011 | 59.7853 | 39.0187 | |
| | 2000 | 0.4483 | 0.8851 | 12.4628 | 4.6064 | 16.2485 | 5.6101 | 0.3988 | 18.2903 | 11.9625 | 21.9050 | 12.6098 | 0.9032 | 46.8241 | 34.8122 | 55.1298 | 36.2314 | |
| | 3000 | 0.4130 | 0.8246 | 11.6002 | 4.7445 | 15.4122 | 5.7357 | 0.3602 | 16.9068 | 11.3683 | 20.4599 | 11.9897 | 0.8434 | 46.9972 | 35.4892 | 54.8885 | 36.8431 | |
| | 4000 | 0.3946 | 0.7897 | 10.2617 | 4.2365 | 14.4564 | 5.1703 | 0.3359 | 16.1132 | 11.0146 | 19.5868 | 11.6112 | 0.8112 | 44.8580 | 33.8810 | 52.6086 | 35.2519 | |
| | 5000 | 0.4532 | 0.7438 | 10.3807 | 4.2809 | 14.1876 | 5.2090 | 0.3295 | 15.7676 | 10.8729 | 19.2134 | 11.4603 | 0.8051 | 44.2068 | 33.3323 | 51.3438 | 34.6898 | |
| | 6000 | 0.4496 | 0.7275 | 10.1725 | 4.1182 | 13.9785 | 5.1075 | 0.3247 | 15.3487 | 10.6600 | 18.8008 | 11.2647 | 0.8003 | 43.8399 | 33.1808 | 51.5810 | 34.5430 | |
| | 7000 | 0.4061 | 0.7164 | 10.0535 | 4.4190 | 13.8292 | 5.3829 | 0.3183 | 15.0975 | 10.5465 | 18.5450 | 11.1334 | 0.7788 | 43.4813 | 33.2975 | 51.5227 | 34.6075 | |
| | 8000 | 0.3531 | 0.7066 | 9.4587 | 4.0590 | 13.2616 | 4.9915 | 0.3088 | 15.0711 | 10.5598 | 18.4922 | 11.1406 | 0.7575 | 43.4318 | 33.3995 | 51.1192 | 34.7187 | |
| | 9000 | 0.3529 | 0.6867 | 10.0833 | 4.2612 | 14.2174 | 5.3684 | 0.3107 | 14.8659 | 10.4674 | 18.3762 | 11.0681 | 0.7651 | 41.5811 | 31.9552 | 49.5507 | 33.2483 | |
|
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|
| ### Framework versions |
|
|
| - Transformers 4.31.0.dev0 |
| - Datasets 2.13.0 |
| - Tokenizers 0.13.3 |
|
|
