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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- NbAiLab/NCC_S |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Norwegian |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: NbAiLab/NCC_S |
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type: NbAiLab/NCC_S |
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config: 'no' |
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split: validation |
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args: 'no' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 15.012180267965894 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Base Norwegian |
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This model is a fine-tuned version of [pere/whisper-small-nob-clr](https://huggingface.co/pere/whisper-small-nob-clr) on the NbAiLab/NCC_S dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3284 |
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- Wer: 15.0122 |
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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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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- training_steps: 3000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.5975 | 0.33 | 1000 | 0.3354 | 15.7734 | |
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| 0.5783 | 0.67 | 2000 | 0.3327 | 16.3520 | |
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| 0.5788 | 1.0 | 3000 | 0.3284 | 15.0122 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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