---
language:
- 'no'
license: apache-2.0
base_model: NbAiLab/nb-whisper-medium-v0.8-vad3
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-medium-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-medium-v0.8-vad3-verbatim

This model is a fine-tuned version of [NbAiLab/nb-whisper-medium-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-medium-v0.8-vad3) on the NbAiLab/NPSC dataset.
It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.6296
- train_loss: 0.4324
- validation_wer: 8.2769
- validation_cer: 2.8193
- validation_exact_wer: 8.4048
- validation_exact_cer: 2.8363

## 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: 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    | 1.5895          | 1.4606     | 17.5605        | 10.5650        | 33.0099              | 13.8415              |
| 40   | 0.6409          | 0.5035     | 9.1662         | 3.0250         | 9.3637               | 3.0542               |
| 80   | 0.6309          | 0.4790     | 8.7132         | 2.9755         | 8.8730               | 2.9952               |
| 120  | 0.6250          | 0.4480     | 8.4503         | 2.8812         | 8.6079               | 2.9019               |
| 160  | 0.6294          | 0.4423     | 8.4000         | 2.8641         | 8.5345               | 2.8810               |
| 200  | 0.6276          | 0.4467     | 8.3161         | 2.8345         | 8.4668               | 2.8534               |
| 240  | 0.6287          | 0.4376     | 8.2266         | 2.7917         | 8.3597               | 2.8087               |
| 249  | 0.6296          | 0.4324     | 8.2769         | 2.8193         | 8.4048               | 2.8363               |


### Framework versions

- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1