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---
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: []
---
<!-- 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-medium-v0.8-vad3
This model is a fine-tuned version of [NbAiLab/nb-whisper-medium-RC1](https://huggingface.co/NbAiLab/nb-whisper-medium-RC1) on the NbAiLab/ncc_speech_styling_v2_vad3 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: 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 |
### Framework versions
- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1
|