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README.md
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---
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license: apache-2.0
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base_model: duytran3112/whisper-sm-vivos
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-vietnamese
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results: []
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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-vietnamese
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This model is a fine-tuned version of [duytran3112/whisper-sm-vivos](https://huggingface.co/duytran3112/whisper-sm-vivos) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5065
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- Wer: 143.8155
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- Cer: 157.5871
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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: 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: 500
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- training_steps: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 0.0953 | 3.07 | 1000 | 0.4070 | 131.4363 | 111.3538 |
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| 0.0089 | 6.13 | 2000 | 0.4713 | 159.9544 | 148.2014 |
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| 0.003 | 9.2 | 3000 | 0.4932 | 139.2248 | 152.0525 |
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| 0.0015 | 12.27 | 4000 | 0.5065 | 143.8155 | 157.5871 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.0
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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