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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-tiny-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-tiny-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-tiny-v0.8-vad3-verbatim |
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This model is a fine-tuned version of [NbAiLab/nb-whisper-tiny-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-tiny-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: 0.6217 |
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- train_loss: 0.5135 |
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- validation_wer: 14.8034 |
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- validation_cer: 5.2777 |
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- validation_exact_wer: 15.0102 |
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- validation_exact_cer: 5.3185 |
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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: 0.00015 |
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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 | 1.2428 | 1.2274 | 23.3208 | 12.5036 | 37.5903 | 15.7108 | |
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| 40 | 0.6608 | 0.6532 | 17.0908 | 6.1566 | 17.2721 | 6.2179 | |
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| 80 | 0.6306 | 0.6049 | 15.7542 | 5.6424 | 16.0029 | 5.7030 | |
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| 120 | 0.6208 | 0.5465 | 15.2676 | 5.4967 | 15.5573 | 5.5526 | |
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| 160 | 0.6187 | 0.5377 | 15.1334 | 5.4006 | 15.3260 | 5.4422 | |
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| 200 | 0.6178 | 0.5273 | 14.7475 | 5.2368 | 14.9763 | 5.2794 | |
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| 240 | 0.6192 | 0.5216 | 14.6133 | 5.2120 | 14.8579 | 5.2556 | |
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| 249 | 0.6217 | 0.5135 | 14.8034 | 5.2777 | 15.0102 | 5.3185 | |
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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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