metadata
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-tiny-RC1
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-tiny-v0.8-vad3
results: []
nb-whisper-tiny-v0.8-vad3
This model is a fine-tuned version of NbAiLab/nb-whisper-tiny-RC1 on the NbAiLab/ncc_speech_styling_v2_vad3 dataset. It achieves the following results on the evaluation set:
- step: 49999
- validation_nst_loss: 0.5107
- train_loss: 0.6596
- validation_nst_wer: 7.8121
- validation_nst_cer: 2.4815
- validation_nst_exact_wer: 8.6559
- validation_nst_exact_cer: 2.6081
- validation_clean_stortinget_no_loss: 0.7180
- validation_clean_stortinget_no_wer: 16.0137
- validation_clean_stortinget_no_cer: 8.6585
- validation_clean_stortinget_no_exact_wer: 19.8672
- validation_clean_stortinget_no_exact_cer: 9.3568
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: 50,000
- starting_optimization_step: None
- finishing_optimization_step: 50,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 51,200,000
- steps_per_epoch: 7455
- 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_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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.5115 | 1.2809 | 7.9808 | 2.5868 | 8.9172 | 2.7299 | 0.6754 | 16.0516 | 8.8512 | 19.8245 | 9.5377 |
| 5000 | 0.5513 | 0.7948 | 9.8699 | 3.1480 | 10.7083 | 3.2666 | 0.8315 | 18.2473 | 9.7512 | 22.3081 | 10.4913 |
| 10000 | 0.5434 | 0.7729 | 9.5433 | 3.0613 | 10.3490 | 3.1851 | 0.7654 | 17.9536 | 9.6422 | 21.9855 | 10.3974 |
| 15000 | 0.5380 | 0.7629 | 9.0914 | 2.9523 | 9.9243 | 3.0779 | 0.7651 | 17.6694 | 9.2759 | 21.5443 | 9.9923 |
| 20000 | 0.5364 | 0.7173 | 8.7974 | 2.8684 | 9.6412 | 2.9882 | 0.7469 | 17.0725 | 9.1391 | 20.9963 | 9.8515 |
| 25000 | 0.5311 | 0.7168 | 8.6559 | 2.7453 | 9.5160 | 2.8700 | 0.7347 | 16.8167 | 9.0130 | 20.7615 | 9.7248 |
| 30000 | 0.5282 | 0.6977 | 8.4545 | 2.7090 | 9.2711 | 2.8362 | 0.7588 | 16.5632 | 8.9523 | 20.4650 | 9.6476 |
| 35000 | 0.5232 | 0.6851 | 8.4000 | 2.7062 | 9.2547 | 2.8316 | 0.7314 | 16.2577 | 8.7608 | 20.2135 | 9.4749 |
| 40000 | 0.5215 | 0.6878 | 8.3238 | 2.6251 | 9.1676 | 2.7528 | 0.7387 | 16.3098 | 8.8231 | 20.1542 | 9.5131 |
| 45000 | 0.5156 | 0.6901 | 7.9264 | 2.5309 | 8.7158 | 2.6466 | 0.7236 | 16.1037 | 8.8698 | 19.9620 | 9.5607 |
| 49999 | 0.5107 | 0.6596 | 7.8121 | 2.4815 | 8.6559 | 2.6081 | |||||
| 49999 | 0.7180 | 0.6596 | 16.0137 | 8.6585 | 19.8672 | 9.3568 |
Framework versions
- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1