metadata
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: []
nb-whisper-medium-v0.8-vad3-verbatim
This model is a fine-tuned version of NbAiLab/nb-whisper-medium-v0.8-vad3 on the NbAiLab/NPSC 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: 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 |
Framework versions
- Transformers 4.34.1
- Datasets 2.16.1
- Tokenizers 0.14.1