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--- |
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language: |
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- vi |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- JRHuy/vivos-fleurs |
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model-index: |
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- name: Whisper Small Vietnamese - Steve Hoang |
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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 Small Vietnamese - Steve Hoang |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vietnamese ASR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3438 |
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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: 1.25e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4238 | 0.11 | 100 | 2.2401 | |
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| 1.8787 | 0.21 | 200 | 1.7789 | |
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| 1.3912 | 0.32 | 300 | 1.3438 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.3 |
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