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--- |
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base_model: vinai/PhoWhisper-medium |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: PhoWhisper-medium-vispeech-classifier-v4 |
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results: [] |
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datasets: |
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- hr16/ViSpeech-Gender-Dialect-Classification |
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language: |
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- vi |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: audio-classification |
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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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# PhoWhisper-medium-vispeech-classifier-v4 |
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This model is a fine-tuned version of [vinai/PhoWhisper-medium](https://huggingface.co/vinai/PhoWhisper-medium) on the hr16/ViSpeech-Gender-Dialect-Classification dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.3675 |
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- eval_accuracy: 0.9131 |
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- eval_runtime: 574.4362 |
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- eval_samples_per_second: 5.191 |
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- eval_steps_per_second: 0.649 |
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- epoch: 3.0 |
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- step: 4407 |
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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: 3e-06 |
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- train_batch_size: 8 |
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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_ratio: 0.1 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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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 |
