metadata
language:
- 'no'
license: apache-2.0
base_model: NbAiLabBeta/nb-whisper-medium
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-medium-v0.7-semantic
results: []
nb-whisper-medium-v0.7-semantic
This model is a fine-tuned version of NbAiLabBeta/nb-whisper-medium on the NbAiLab/ncc_speech_styling_v4 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: To be computed after first epoch
- 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 | 0.4372 | 1.1581 | 2.2865 | 0.7038 | 2.9452 | 0.8059 | 0.7951 | 8.8939 | 5.6567 | 11.9393 | 6.1348 |
Framework versions
- Transformers 4.34.1
- Datasets 2.15.0
- Tokenizers 0.14.1