vietnamese-regional-accent-classification-model

This model achieves the following results on the evaluation set:

• Loss: 0.5951
• F1: 0.8217

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 11

Training results

Training Loss	Epoch	Step	F1	Validation Loss
1.0507	1.0	44	0.7563	0.8615
0.8157	2.0	88	0.7804	0.7120
0.7555	3.0	132	0.7981	0.6501
0.7006	4.0	176	0.7635	0.6767
0.6825	5.0	220	0.8005	0.6370
0.6595	6.0	264	0.7735	0.6832
0.6634	7.0	308	0.8078	0.6044
0.627	8.0	352	0.7873	0.6399
0.603	9.0	396	0.8255	0.5825
0.5977	10.0	440	0.8180	0.5931
0.5635	11.0	484	0.8217	0.5951

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0