|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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-v0.7-semantic |
|
|
|
This model is a fine-tuned version of [NbAiLabBeta/nb-whisper-medium](https://huggingface.co/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 | |
|
| 40 | 0.7551 | 0.7309 | 2.7546 | 0.9443 | 3.4950 | 1.0568 | 0.7489 | 9.8437 | 6.4691 | 12.9830 | 6.9559 | |
|
| 80 | 0.7655 | 0.6341 | 2.5695 | 0.8250 | 3.3317 | 0.9414 | 0.7355 | 9.3794 | 6.1000 | 12.4090 | 6.5664 | |
|
| 120 | 0.7493 | 0.6262 | 2.4716 | 0.8129 | 3.2283 | 0.9286 | 0.7432 | 9.3344 | 6.0544 | 12.3592 | 6.5247 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.14.1 |
|
|
