metadata
language:
- 'no'
license: apache-2.0
tags:
- audio
- asr
- automatic-speech-recognition
- hf-asr-leaderboard
model-index:
- name: scream_non_large_timestamp_test
results: []
scream_non_large_timestamp_test
This model is a fine-tuned version of NbAiLab/scream_non_large_1e06_beams5_constantlr_long on the NbAiLab/NCC_whisper_both_timestamp 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: 1e-06
- lr_scheduler_type: linear
- per_device_train_batch_size: 16
- total_train_batch_size_per_node: 64
- total_train_batch_size: 64
- total_optimization_steps: 5,000
- starting_optimization_step: None
- finishing_optimization_step: 5,000
- num_train_dataset_workers: 32
- num_hosts: 1
- total_num_training_examples: 320,000
- steps_per_epoch: 475
- num_beams: 5
Training results
| step | eval_loss | train_loss | eval_wer | eval_cer |
|---|---|---|---|---|
| 0 | 0.5499 | 0.6409 | 10.5055 | 5.6538 |
| 500 | 0.4301 | 0.1060 | 10.1401 | 4.9232 |
| 1000 | 0.4168 | 0.0776 | 10.3837 | 4.8123 |
| 1500 | 0.4132 | 0.0689 | 10.5968 | 4.8123 |
| 2000 | 0.4176 | 0.0511 | 10.5968 | 4.6712 |
| 2500 | 0.4261 | 0.0454 | 11.0536 | 4.7871 |
| 3000 | 0.4385 | 0.0441 | 11.1449 | 4.7770 |
Framework versions
- Transformers 4.29.0.dev0
- Datasets 2.12.0
- Tokenizers 0.13.3