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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: nguyenvulebinh/wav2vec2-base-vi |
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tags: |
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- generated_from_trainer |
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datasets: |
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- doof-ferb/LSVSC |
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metrics: |
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- f1 |
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model-index: |
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- name: vietnamese-voice-classification-model |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: LSVSC |
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type: doof-ferb/LSVSC |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.9830866807610994 |
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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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# vietnamese-voice-classification-model |
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This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on the LSVSC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0971 |
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- F1: 0.9831 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.501 | 0.9931 | 36 | 0.2733 | 0.9699 | |
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| 0.1647 | 1.9862 | 72 | 0.1368 | 0.9787 | |
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| 0.1045 | 2.9793 | 108 | 0.1080 | 0.9820 | |
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| 0.0903 | 4.0 | 145 | 0.0972 | 0.9836 | |
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| 0.1065 | 4.9655 | 180 | 0.0971 | 0.9831 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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