metadata
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_sextusdecimus_virtual_tsfix_small
results: []
scream_sextusdecimus_virtual_tsfix_small
This model is a fine-tuned version of openai/whisper-small on the NbAiLab/ncc_speech 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: 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: To be computed after first epoch
- num_beams: 5
- dropout: True
- bpe_dropout_probability: 0.1
- activation_dropout_probability: 0.1
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer | eval_exact_wer | eval_exact_cer |
|---|---|---|---|---|---|---|
| 0 | 1.2807 | 3.0725 | 196.6092 | 157.4275 | 196.6092 | 157.4275 |
| 1000 | 0.5902 | 1.0592 | 15.1695 | 4.8382 | 15.1695 | 4.8382 |
| 2000 | 0.4240 | 0.8640 | 11.3623 | 3.9308 | 11.3623 | 3.9308 |
| 3000 | 0.4213 | 0.7930 | 9.4587 | 3.3537 | 9.4587 | 3.3537 |
| 4000 | 0.4353 | 0.7986 | 9.3694 | 3.5263 | 9.3694 | 3.5263 |
| 5000 | 0.4697 | 0.7580 | 9.7858 | 4.1478 | 9.7858 | 4.1478 |
| 6000 | 0.4535 | 0.7003 | 10.0238 | 4.2119 | 10.0238 | 4.2119 |
| 7000 | 0.4608 | 0.7296 | 8.8638 | 3.4228 | 8.8638 | 3.4228 |
| 8000 | 0.3902 | 0.7053 | 8.9233 | 3.6003 | 8.9233 | 3.6003 |
| 9000 | 0.3575 | 0.7124 | 9.3992 | 3.9702 | 9.3992 | 3.9702 |
Framework versions
- Transformers 4.30.0.dev0
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3