| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: scream_tertius_dropout_replicate_test7b |
| 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_test7b |
|
|
| 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: 0.6607 |
| - train_loss: 0.3094 |
| - eval_wer: 10.8709 |
| - eval_cer: 5.1449 |
| |
| ## 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 | 1.3578 | 8.1186 | 156.3946 | 118.6999 | |
| | 1000 | 0.7538 | 0.9632 | 23.5688 | 9.1509 | |
| | 2000 | 0.7164 | 0.6653 | 18.2704 | 7.4628 | |
| | 3000 | 0.7374 | 0.5403 | 15.1340 | 6.4853 | |
| | 4000 | 0.7819 | 0.4543 | 13.5810 | 6.0368 | |
| | 5000 | 0.8360 | 0.4266 | 12.2716 | 5.4775 | |
| | 6000 | 0.9197 | 0.3941 | 11.6017 | 5.2104 | |
| | 7000 | 0.9399 | 0.3705 | 11.8149 | 5.3515 | |
| | 8000 | 0.7468 | 0.3806 | 11.6017 | 5.2104 | |
| | 9000 | 0.7944 | 0.3562 | 11.5713 | 5.3212 | |
| | 10000 | 0.6599 | 0.3563 | 11.1145 | 5.1046 | |
| | 11000 | 0.6534 | 0.3394 | 11.2972 | 5.3313 | |
| | 12000 | 0.5689 | 0.3427 | 11.0536 | 5.2708 | |
| | 13000 | 0.5633 | 0.3313 | 11.1754 | 5.2557 | |
| | 14000 | 0.7331 | 0.3278 | 11.4495 | 5.4623 | |
| | 15000 | 0.6593 | 0.3011 | 11.1754 | 5.1902 | |
| | 16000 | 0.6180 | 0.3044 | 11.1449 | 5.2356 | |
| | 17000 | 0.6761 | 0.3058 | 10.9318 | 5.2053 | |
| | 18000 | 0.6697 | 0.3154 | 10.8709 | 5.1499 | |
| | 19000 | 0.6730 | 0.2888 | 11.0231 | 5.2658 | |
| | 19999 | 0.6607 | 0.3094 | 10.8709 | 5.1449 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.0.dev0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
| |
