|
--- |
|
language: |
|
- 'no' |
|
license: apache-2.0 |
|
tags: |
|
- audio |
|
- asr |
|
- automatic-speech-recognition |
|
- hf-asr-leaderboard |
|
model-index: |
|
- name: scream_tertius_dropout_replicate_test7a |
|
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. --> |
|
|
|
# scream_tertius_dropout_replicate_test7a |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/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 | |
|
| 10000 | 1.0855 | 0.3620 | 11.4495 | 5.6790 | |
|
| 11000 | 1.1018 | 0.3453 | 11.7540 | 5.7848 | |
|
| 12000 | 0.9953 | 0.3486 | 11.7235 | 5.7294 | |
|
| 13000 | 1.1321 | 0.3365 | 12.0280 | 6.0015 | |
|
| 14000 | 1.2654 | 0.3335 | 11.6322 | 5.8050 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.0.dev0 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
