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--- |
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language: |
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- 'no' |
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license: apache-2.0 |
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tags: |
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- audio |
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- asr |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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model-index: |
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- name: scream_non_large_3e06_beams5_v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# scream_non_large_3e06_beams5_v2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/NCC_speech_all_v5 dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-06 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 5 |
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- total_train_batch_size_per_node: 20 |
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- total_train_batch_size: 160 |
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- total_optimization_steps: 30,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 30,000 |
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- num_train_dataset_workers: 32 |
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- numb_hosts: 8 |
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- total_num_training_examples: 4,800,000 |
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- steps_per_epoch: To be computed after first epoch |
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- num_beams: 5 |
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### Training results |
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| step | eval_loss | train_loss | eval_wer | eval_cer | |
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|:----:|:---------:|:----------:|:--------:|:--------:| |
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| 0 | 2.0006 | 0.8864 | 15.7125 | 8.0675 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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