|
--- |
|
language: |
|
- 'no' |
|
license: apache-2.0 |
|
base_model: NbAiLab/nb-whisper-small-RC1 |
|
tags: |
|
- audio |
|
- asr |
|
- automatic-speech-recognition |
|
- hf-asr-leaderboard |
|
model-index: |
|
- name: nb-whisper-small-v0.8-vad3 |
|
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-small-v0.8-vad3 |
|
|
|
This model is a fine-tuned version of [NbAiLab/nb-whisper-small-RC1](https://huggingface.co/NbAiLab/nb-whisper-small-RC1) on the NbAiLab/ncc_speech_styling_v2_vad3 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: 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: 50,000 |
|
- starting_optimization_step: None |
|
- finishing_optimization_step: 50,000 |
|
- num_train_dataset_workers: 32 |
|
- num_hosts: 8 |
|
- total_num_training_examples: 51,200,000 |
|
- steps_per_epoch: 7455 |
|
- 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 | 0.4313 | 1.0396 | 2.8254 | 0.8865 | 3.5168 | 0.9900 | 0.5547 | 9.6092 | 5.9949 | 12.6794 | 6.4755 | |
|
| 5000 | 0.4484 | 0.5692 | 3.2010 | 1.0142 | 3.8870 | 1.1172 | 0.6138 | 10.1824 | 6.1896 | 13.4124 | 6.6954 | |
|
| 10000 | 0.4477 | 0.5317 | 3.3589 | 1.0347 | 4.0176 | 1.1337 | 0.6275 | 10.3316 | 6.4310 | 13.6022 | 6.9442 | |
|
| 15000 | 0.4493 | 0.5132 | 3.3099 | 1.0086 | 3.9904 | 1.1145 | 0.6599 | 10.2203 | 6.3042 | 13.4100 | 6.8175 | |
|
| 20000 | 0.4491 | 0.4911 | 3.2283 | 1.0226 | 3.8924 | 1.1227 | 0.6755 | 10.1421 | 6.3188 | 13.4409 | 6.8428 | |
|
| 25000 | 0.4441 | 0.4766 | 3.1575 | 0.9816 | 3.8924 | 1.0898 | 0.6763 | 10.2700 | 6.3383 | 13.5951 | 6.8658 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.14.1 |
|
|
