--- 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](https://huggingface.co/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 | ### Framework versions - Transformers 4.30.0.dev0 - Datasets 2.12.1.dev0 - Tokenizers 0.13.3