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README.md
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---
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language:
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- Vietnamese
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- vivos
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metrics:
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- wer
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model-index:
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- name: Whisper Small Vi - Duy Ta
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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: Vivos
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type: vivos
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config: null
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split: None
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metrics:
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- name: Wer
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type: wer
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value: 27.36337736337736
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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 Vi - Duy Ta
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vivos dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3187
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- Wer: 27.3634
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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: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 1000
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- training_steps: 8000
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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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| 0.249 | 1.1 | 1000 | 0.3766 | 32.1678 |
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| 0.1416 | 2.2 | 2000 | 0.2881 | 46.4646 |
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| 0.0839 | 3.3 | 3000 | 0.2799 | 22.7791 |
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| 0.0546 | 4.41 | 4000 | 0.2894 | 21.8855 |
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| 0.0256 | 5.51 | 5000 | 0.3023 | 32.2973 |
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| 0.0111 | 6.61 | 6000 | 0.3061 | 31.0153 |
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| 0.0028 | 7.71 | 7000 | 0.3143 | 27.1691 |
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| 0.0014 | 8.81 | 8000 | 0.3187 | 27.3634 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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