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metadata
base_model: vinai/PhoWhisper-small
tags:
  - generated_from_trainer
datasets:
  - hr16/ViSpeech-Gender-Dialect
model-index:
  - name: PhoWhisper-small-ViSpeech-Classifier
    results: []
license: apache-2.0
language:
  - vi
library_name: transformers

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PhoWhisper-small-ViSpeech-Classifier

This model is a fine-tuned version of vinai/PhoWhisper-small on the hr16/ViSpeech-Gender-Dialect dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.7559
  • eval_accuracy: 0.7857
  • eval_runtime: 173.7931
  • eval_samples_per_second: 16.059
  • eval_steps_per_second: 2.008
  • epoch: 3.0
  • step: 3141

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1