BARTPho_Syllable_ver2

This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0529
• Cer: 0.3133
• Wer: 0.3747
• Char Acc: 0.6432

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: 0.0002
• train_batch_size: 48
• eval_batch_size: 53
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 192
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer	Char Acc
0.4262	1.0	167	0.1963	0.4369	0.6588	0.3850
0.2054	2.0	334	0.0929	0.3479	0.4576	0.5507
0.1249	3.0	501	0.0716	0.3309	0.4192	0.6095
0.0943	4.0	668	0.0622	0.3232	0.4009	0.6261
0.0754	5.0	835	0.0555	0.3163	0.3846	0.6287
0.06	6.0	1002	0.0548	0.3159	0.3833	0.6423
0.051	7.0	1169	0.0540	0.3157	0.3809	0.6386
0.043	8.0	1336	0.0532	0.3138	0.3762	0.6442
0.0401	9.0	1503	0.0529	0.3133	0.3751	0.6450
0.0386	10.0	1670	0.0529	0.3133	0.3747	0.6432

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1