PhoWhisper-medium-vispeech-classifier-v4
This model is a fine-tuned version of vinai/PhoWhisper-medium on the hr16/ViSpeech-Gender-Dialect-Classification dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3675
- eval_accuracy: 0.9131
- eval_runtime: 574.4362
- eval_samples_per_second: 5.191
- eval_steps_per_second: 0.649
- epoch: 3.0
- step: 4407
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: 3e-06
- 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: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
vinai/PhoWhisper-medium