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--- |
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base_model: openai/whisper-small |
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datasets: |
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- ademax/vivos-vie-speech2text |
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language: |
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- hi |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Small Vie - VIVOS |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: VIVOS Vietnamese Speech to Text |
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type: ademax/vivos-vie-speech2text |
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args: 'config: hi, split: test' |
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metrics: |
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- type: wer |
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value: 14.529509362408152 |
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name: Wer |
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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 Small Vie - VIVOS |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the VIVOS Vietnamese Speech to Text dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2750 |
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- Wer: 14.5295 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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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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| 0.1775 | 0.3503 | 1000 | 0.3448 | 18.3693 | |
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| 0.2924 | 0.7005 | 2000 | 0.3088 | 17.1921 | |
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| 0.1059 | 1.0508 | 3000 | 0.2896 | 15.4776 | |
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| 0.1182 | 1.4011 | 4000 | 0.2889 | 15.5408 | |
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| 0.1089 | 1.7513 | 5000 | 0.2750 | 14.5295 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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