metadata
language:
- 'no'
license: apache-2.0
base_model: NbAiLabBeta/nb-whisper-large
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: nb-whisper-large-v0.8-vad3-verbatim
results: []
nb-whisper-large-v0.8-vad3-verbatim
This model is a fine-tuned version of NbAiLabBeta/nb-whisper-large on the NbAiLab/NPSC dataset. It achieves the following results on the evaluation set:
- step: 249
- validation_loss: 0.5839
- train_loss: 0.4632
- validation_wer: 7.9358
- validation_cer: 2.5127
- validation_exact_wer: 8.0494
- validation_exact_cer: 2.5279
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: 7e-05
- lr_scheduler_type: linear
- per_device_train_batch_size: 8
- total_train_batch_size_per_node: 32
- total_train_batch_size: 1024
- total_optimization_steps: 250
- starting_optimization_step: None
- finishing_optimization_step: 250
- num_train_dataset_workers: 32
- num_hosts: 32
- total_num_training_examples: 256,000
- steps_per_epoch: 97
- 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 | 1.2831 | 1.1864 | 18.9083 | 11.8409 | 33.9801 | 15.0322 |
| 40 | 0.5952 | 0.4958 | 8.9760 | 2.9212 | 9.1099 | 2.9390 |
| 80 | 0.5848 | 0.4761 | 8.3105 | 2.6432 | 8.4330 | 2.6621 |
| 120 | 0.5831 | 0.4492 | 8.1204 | 2.5679 | 8.2356 | 2.5821 |
| 160 | 0.5811 | 0.4678 | 7.9302 | 2.5051 | 8.0438 | 2.5193 |
| 200 | 0.5840 | 0.4692 | 7.9861 | 2.5346 | 8.0945 | 2.5498 |
| 240 | 0.5844 | 0.4543 | 7.9246 | 2.5051 | 8.0381 | 2.5193 |
| 249 | 0.5839 | 0.4632 | 7.9358 | 2.5127 | 8.0494 | 2.5279 |
Framework versions
- Transformers 4.36.2
- Datasets 2.16.1
- Tokenizers 0.15.0