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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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It achieves the following results on the evaluation set: |
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- step: 29999 |
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- eval_loss: 1.2308 |
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- train_loss: 0.2858 |
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- eval_wer: 10.3228 |
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- eval_cer: 5.6236 |
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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: 8543 |
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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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| 5000 | 1.4781 | 0.3285 | 10.3532 | 5.0340 | |
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| 10000 | 1.2340 | 0.3277 | 10.8709 | 5.7596 | |
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| 15000 | 1.1556 | 0.3272 | 10.3837 | 5.3515 | |
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| 20000 | 1.2220 | 0.2775 | 10.2314 | 5.5026 | |
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| 25000 | 1.2454 | 0.2367 | 10.1705 | 5.4976 | |
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| 29999 | 1.2308 | 0.2858 | 10.3228 | 5.6236 | |
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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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