huybunn/whisper-small-vi

Whisper Small Vietnames - Huybunn

This model is a fine-tuned version of openai/whisper-small on the Infore1 25hours(50%) dataset. It achieves the following results on the evaluation set:

• Loss: 0.1043
• Wer: 4.2194

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.034	2.6747	1000	0.1046	5.2202
0.0017	5.3481	2000	0.0985	4.2982
0.0007	8.0214	3000	0.1024	4.2129
0.0005	10.6961	4000	0.1043	4.2194

Framework versions

• Transformers 4.50.3
• Pytorch 2.5.1+cu121
• Datasets 3.5.0
• Tokenizers 0.21.0