metadata
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_tertius_dropout_replicate_test7a
results: []
scream_tertius_dropout_replicate_test7a
This model is a fine-tuned version of openai/whisper-small on the NbAiLab/NCC_speech_all_v5 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: 2e-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: 20,000
- starting_optimization_step: None
- finishing_optimization_step: 20,000
- num_train_dataset_workers: 32
- num_hosts: 8
- total_num_training_examples: 20,480,000
- steps_per_epoch: 1314
- num_beams: 5
- dropout: True
- dropout_probability: 0.1
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|---|---|---|---|---|
| 0 | 1.3582 | 7.9231 | 169.1230 | 127.5435 |
| 1000 | 0.9203 | 0.9748 | 24.0256 | 9.2618 |
| 2000 | 0.9951 | 0.6747 | 18.7576 | 7.4326 |
| 3000 | 1.1073 | 0.5495 | 16.7479 | 7.1000 |
| 4000 | 1.1093 | 0.4612 | 14.4336 | 6.4147 |
| 5000 | 1.1719 | 0.4326 | 14.1900 | 6.2837 |
| 6000 | 1.2627 | 0.3998 | 12.8197 | 5.9814 |
| 7000 | 1.2785 | 0.3765 | 12.7893 | 6.1476 |
| 8000 | 1.1395 | 0.3869 | 12.5152 | 6.0519 |
| 9000 | 1.2327 | 0.3616 | 12.7893 | 6.1829 |
Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3