metadata
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-medium-RC1
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-medium-v0.8-vad3
results: []
nb-whisper-medium-v0.8-vad3
This model is a fine-tuned version of NbAiLab/nb-whisper-medium-RC1 on the NbAiLab/ncc_speech_styling_v2_vad3 dataset. It achieves the following results on the evaluation set:
- step: 49999
- validation_nst_loss: 0.4365
- train_loss: 0.4233
- validation_nst_wer: 2.4062
- validation_nst_cer: 0.7262
- validation_nst_exact_wer: 3.0867
- validation_nst_exact_cer: 0.8297
- validation_clean_stortinget_no_loss: 0.7815
- validation_clean_stortinget_no_wer: 9.0005
- validation_clean_stortinget_no_cer: 5.7907
- validation_clean_stortinget_no_exact_wer: 12.1101
- validation_clean_stortinget_no_exact_cer: 6.2732
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: 2.5e-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: 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 | 0.4223 | 0.8343 | 2.3463 | 0.7206 | 2.9397 | 0.8105 | 0.6313 | 8.8868 | 5.7697 | 11.8752 | 6.2280 |
| 5000 | 0.4364 | 0.5289 | 2.6077 | 0.8063 | 3.2555 | 0.9057 | 0.6300 | 9.1071 | 5.8300 | 12.0840 | 6.3028 |
| 10000 | 0.4353 | 0.4901 | 2.4824 | 0.7765 | 3.0867 | 0.8709 | 0.6463 | 9.2563 | 5.9382 | 12.2144 | 6.4042 |
| 15000 | 0.4338 | 0.4760 | 2.4062 | 0.7290 | 3.0541 | 0.8324 | 0.6788 | 9.0052 | 5.7931 | 12.0816 | 6.2720 |
| 20000 | 0.4343 | 0.4553 | 2.5695 | 0.7868 | 3.1956 | 0.8819 | 0.7058 | 9.1710 | 5.9434 | 12.2168 | 6.4280 |
| 25000 | 0.4399 | 0.4476 | 2.4171 | 0.7439 | 3.0486 | 0.8398 | 0.7342 | 9.2800 | 5.9227 | 12.3947 | 6.4081 |
| 30000 | 0.4356 | 0.4395 | 2.4008 | 0.7327 | 3.0377 | 0.8288 | 0.7352 | 9.2279 | 5.9985 | 12.2975 | 6.4826 |
| 35000 | 0.4365 | 0.4371 | 2.5587 | 0.7756 | 3.2174 | 0.8764 | 0.7505 | 9.1852 | 5.8557 | 12.2714 | 6.3383 |
| 40000 | 0.4358 | 0.4271 | 2.4607 | 0.7374 | 3.1248 | 0.8389 | 0.7643 | 9.1118 | 5.8569 | 12.2334 | 6.3449 |
| 45000 | 0.4360 | 0.4211 | 2.5042 | 0.7458 | 3.0867 | 0.8334 | 0.7833 | 9.1094 | 5.8625 | 12.1646 | 6.3383 |
| 49999 | 0.4365 | 0.4233 | 2.4062 | 0.7262 | 3.0867 | 0.8297 | |||||
| 49999 | 0.7815 | 0.4233 | 9.0005 | 5.7907 | 12.1101 | 6.2732 |
Framework versions
- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1