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---
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
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