stevehoang9
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README.md
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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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library_name: peft
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tags:
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- generated_from_trainer
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base_model: openai/whisper-small
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datasets:
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- stevehoang9/vietnamese_ASR
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metrics:
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- wer
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model-index:
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- name: Whisper Small Vietnam - Steve Hoang
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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
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type: stevehoang9/vietnamese_ASR
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metrics:
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- type: wer
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value: 51.68350168350169
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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 Vietnam - 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 VIVOS dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6333
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- Wer: 51.6835
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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: 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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| 0.931 | 1.3717 | 1000 | 0.9599 | 74.7216 |
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| 0.7286 | 2.7435 | 2000 | 0.7709 | 61.5255 |
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| 0.6341 | 4.1152 | 3000 | 0.6854 | 55.5685 |
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| 0.6044 | 5.4870 | 4000 | 0.6458 | 52.8490 |
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| 0.6031 | 6.8587 | 5000 | 0.6333 | 51.6835 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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adapter_model.safetensors
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runs/Jul13_14-11-46_dc5a3487e29b/events.out.tfevents.1720879919.dc5a3487e29b.34.0
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