| | --- |
| | language: |
| | - 'no' |
| | license: apache-2.0 |
| | tags: |
| | - audio |
| | - asr |
| | - automatic-speech-recognition |
| | - hf-asr-leaderboard |
| | model-index: |
| | - name: scream_sextusdecimus_virtual_tsfix_medium_1e5 |
| | 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_sextusdecimus_virtual_tsfix_medium_1e5 |
| | |
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the NbAiLab/ncc_speech dataset. |
| | It achieves the following results on the evaluation set: |
| | - step: 19999 |
| | - eval_loss: 1.6336 |
| | - train_loss: 0.6795 |
| | - eval_wer: 7.9120 |
| | - eval_cer: 3.4474 |
| | - eval_exact_wer: 7.9120 |
| | - eval_exact_cer: 3.4474 |
| |
|
| | ## 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-05 |
| | - lr_scheduler_type: linear |
| | - per_device_train_batch_size: 16 |
| | - total_train_batch_size_per_node: 64 |
| | - total_train_batch_size: 512 |
| | - 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: 10,240,000 |
| | - steps_per_epoch: _To be computed after first epoch_ |
| | - num_beams: None |
| | - 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 | 5.5890 | 2.8362 | 17.4598 | 5.3906 | 17.4598 | 5.3906 | |
| | | 1000 | 5.2798 | 1.0896 | 12.4926 | 3.8321 | 12.4926 | 3.8321 | |
| | | 2000 | 5.2432 | 0.9018 | 11.0351 | 3.9899 | 11.0351 | 3.9899 | |
| | | 3000 | 4.1719 | 0.8159 | 9.8453 | 3.8173 | 9.8453 | 3.8173 | |
| | | 4000 | 3.0758 | 0.7799 | 9.6371 | 3.8716 | 9.6371 | 3.8716 | |
| | | 5000 | 2.2223 | 0.7803 | 9.7264 | 3.9110 | 9.7264 | 3.9110 | |
| | | 6000 | 2.0574 | 0.7206 | 9.5181 | 3.8864 | 9.5181 | 3.8864 | |
| | | 7000 | 1.7271 | 0.7088 | 8.7745 | 3.7039 | 8.7745 | 3.7039 | |
| | | 8000 | 1.5868 | 0.7528 | 8.2391 | 3.5362 | 8.2391 | 3.5362 | |
| | | 9000 | 1.5781 | 0.6747 | 8.2094 | 3.5313 | 8.2094 | 3.5313 | |
| | | 10000 | 1.6658 | 0.6830 | 8.1499 | 3.4277 | 8.1499 | 3.4277 | |
| | | 11000 | 1.5514 | 0.7141 | 8.6853 | 3.8814 | 8.6853 | 3.8814 | |
| | | 12000 | 1.8042 | 0.6941 | 8.5366 | 3.6792 | 8.5366 | 3.6792 | |
| | | 13000 | 1.7561 | 0.6732 | 8.6258 | 3.8666 | 8.6258 | 3.8666 | |
| | | 14000 | 1.7517 | 0.7050 | 8.2094 | 3.5066 | 8.2094 | 3.5066 | |
| | | 15000 | 1.7413 | 0.7191 | 7.8822 | 3.3389 | 7.8822 | 3.3389 | |
| | | 16000 | 1.7014 | 0.6850 | 8.0309 | 3.4178 | 8.0309 | 3.4178 | |
| | | 17000 | 1.7205 | 0.6937 | 7.8822 | 3.4524 | 7.8822 | 3.4524 | |
| | | 18000 | 1.5928 | 0.7014 | 7.8227 | 3.4425 | 7.8227 | 3.4425 | |
| | | 19000 | 1.5883 | 0.7102 | 7.9417 | 3.4573 | 7.9417 | 3.4573 | |
| | | 19999 | 1.6336 | 0.6795 | 7.9120 | 3.4474 | 7.9120 | 3.4474 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.0.dev0 |
| | - Datasets 2.12.1.dev0 |
| | - Tokenizers 0.13.3 |
| | |
