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