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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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base_model: NbAiLab/nb-whisper-small-v0.8-vad3 |
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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: nb-whisper-small-v0.8-vad3-verbatim |
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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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# nb-whisper-small-v0.8-vad3-verbatim |
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This model is a fine-tuned version of [NbAiLab/nb-whisper-small-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-small-v0.8-vad3) on the NbAiLab/NPSC dataset. |
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It achieves the following results on the evaluation set: |
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- step: 249 |
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- validation_loss: 0.5783 |
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- train_loss: 0.4395 |
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- validation_wer: 9.3843 |
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- validation_cer: 3.1287 |
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- validation_exact_wer: 9.5329 |
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- validation_exact_cer: 3.1513 |
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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: 5e-05 |
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- lr_scheduler_type: linear |
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- per_device_train_batch_size: 32 |
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- total_train_batch_size_per_node: 128 |
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- total_train_batch_size: 1024 |
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- total_optimization_steps: 250 |
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- starting_optimization_step: None |
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- finishing_optimization_step: 250 |
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- num_train_dataset_workers: 32 |
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- num_hosts: 8 |
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- total_num_training_examples: 256,000 |
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- steps_per_epoch: 45 |
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- num_beams: None |
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- weight_decay: 0.01 |
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- adam_beta1: 0.9 |
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- adam_beta2: 0.98 |
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- adam_epsilon: 1e-06 |
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- dropout: True |
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- bpe_dropout_probability: 0.2 |
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- activation_dropout_probability: 0.1 |
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### Training results |
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| step | validation_loss | train_loss | validation_wer | validation_cer | validation_exact_wer | validation_exact_cer | |
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|:----:|:---------------:|:----------:|:--------------:|:--------------:|:--------------------:|:--------------------:| |
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| 0 | 1.4467 | 1.3978 | 19.2607 | 12.0780 | 34.1889 | 15.2244 | |
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| 40 | 0.5979 | 0.5311 | 10.8048 | 3.6534 | 10.9488 | 3.6881 | |
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| 80 | 0.5743 | 0.4963 | 9.9323 | 3.3896 | 10.0745 | 3.4130 | |
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| 120 | 0.5719 | 0.4591 | 9.8317 | 3.3754 | 9.9447 | 3.3959 | |
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| 160 | 0.5738 | 0.4571 | 9.5129 | 3.2325 | 9.6852 | 3.2569 | |
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| 200 | 0.5772 | 0.4494 | 9.4178 | 3.1392 | 9.5668 | 3.1618 | |
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| 240 | 0.5788 | 0.4449 | 9.3954 | 3.1192 | 9.5386 | 3.1418 | |
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| 249 | 0.5783 | 0.4395 | 9.3843 | 3.1287 | 9.5329 | 3.1513 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.14.1 |
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