| | --- |
| | 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: [] |
| | --- |
| | |
| | <!-- 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. |
| | 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 |
| | |
