anhphuong/whisper_tiny_vi

Whisper Tiny Vi - Anh Phuong

This model is a fine-tuned version of openai/whisper-tiny-vi-v1 on the vi 500 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3071
• Wer: 17.9275

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: 16
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.4594	0.16	1000	0.4406	24.6174
0.3731	0.32	2000	0.3586	20.4809
0.3199	0.48	3000	0.3223	18.8015
0.3026	0.64	4000	0.3071	17.9275

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1