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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_sextusdecimus_virtual_tsfix_medium_1e5 |
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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_sextusdecimus_virtual_tsfix_medium_1e5 |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the NbAiLab/ncc_speech 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: 1e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 16 |
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- total_train_batch_size_per_node: 64 |
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- total_train_batch_size: 512 |
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- total_optimization_steps: 20,000 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 20,000 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 8 |
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- total_num_training_examples: 10,240,000 |
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- steps_per_epoch: _To be computed after first epoch_ |
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- num_beams: None |
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- dropout: True |
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- bpe_dropout_probability: 0.1 |
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- activation_dropout_probability: 0.1 |
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### Training results |
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| step | eval_loss | train_loss | eval_wer | eval_cer | eval_exact_wer | eval_exact_cer | |
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|:----:|:---------:|:----------:|:--------:|:--------:|:--------------:|:--------------:| |
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| 0 | 5.5890 | 2.8362 | 17.4598 | 5.3906 | 17.4598 | 5.3906 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Datasets 2.12.1.dev0 |
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- Tokenizers 0.13.3 |
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