metadata
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
base_model: openai/whisper-small
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. It achieves the following results on the evaluation set:
- step: 19999
- eval_loss: 1.1799
- train_loss: 0.3145
- eval_wer: 11.6626
- eval_cer: 5.8907
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 |
| 15000 | 1.2149 | 0.3061 | 11.8453 | 5.8503 |
| 16000 | 1.1539 | 0.3090 | 11.9367 | 5.8503 |
| 17000 | 1.2530 | 0.3103 | 11.7540 | 5.8251 |
| 18000 | 1.1925 | 0.3209 | 11.4799 | 5.6790 |
| 19000 | 1.2155 | 0.2931 | 11.7235 | 5.9562 |
| 19999 | 1.1799 | 0.3145 | 11.6626 | 5.8907 |
Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3