End of training
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README.md
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---
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base_model: vinai/PhoWhisper-small
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tags:
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- generated_from_trainer
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datasets:
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- speech_commands
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model-index:
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- name: PhoWhisper-small-ViSpeech-Classifier
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hr16/huggingface/runs/o5fxowil)
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# PhoWhisper-small-ViSpeech-Classifier
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This model is a fine-tuned version of [vinai/PhoWhisper-small](https://huggingface.co/vinai/PhoWhisper-small) on the hr16/ViSpeech-Gender-Dialect dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7559
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- eval_accuracy: 0.7857
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- eval_runtime: 173.7931
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- eval_samples_per_second: 16.059
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- eval_steps_per_second: 2.008
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- epoch: 3.0
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- step: 3141
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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: 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: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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