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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-medium-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-medium-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-medium-v0.8-vad3-verbatim |
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This model is a fine-tuned version of [NbAiLab/nb-whisper-medium-v0.8-vad3](https://huggingface.co/NbAiLab/nb-whisper-medium-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: 0.6296 |
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- train_loss: 0.4324 |
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- validation_wer: 8.2769 |
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- validation_cer: 2.8193 |
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- validation_exact_wer: 8.4048 |
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- validation_exact_cer: 2.8363 |
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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: 2.5e-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 | 1.5895 | 1.4606 | 17.5605 | 10.5650 | 33.0099 | 13.8415 | |
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| 40 | 0.6409 | 0.5035 | 9.1662 | 3.0250 | 9.3637 | 3.0542 | |
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| 80 | 0.6309 | 0.4790 | 8.7132 | 2.9755 | 8.8730 | 2.9952 | |
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| 120 | 0.6250 | 0.4480 | 8.4503 | 2.8812 | 8.6079 | 2.9019 | |
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| 160 | 0.6294 | 0.4423 | 8.4000 | 2.8641 | 8.5345 | 2.8810 | |
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| 200 | 0.6276 | 0.4467 | 8.3161 | 2.8345 | 8.4668 | 2.8534 | |
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| 240 | 0.6287 | 0.4376 | 8.2266 | 2.7917 | 8.3597 | 2.8087 | |
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| 249 | 0.6296 | 0.4324 | 8.2769 | 2.8193 | 8.4048 | 2.8363 | |
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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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