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RonTon05/
Revision_PhoBert_Lexical_MetaPho_Q1

Name: Revision_PhoBert_Lexical_MetaPho_Q1
Availability: InStock

transformers

safetensors

generated_from_trainer

phunganhsang/PhoBert_Lexical_Dataset45K

finetune

agpl-3.0

endpoints_compatible

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Revision_PhoBert_Lexical_MetaPho_Q1

This model is a fine-tuned version of phunganhsang/PhoBert_Lexical_Dataset45K on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3628
Accuracy: 0.8712
F1: 0.6504

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
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: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.3497	100	0.5219	0.7676	0.5370
No log	0.6993	200	0.3648	0.8452	0.6048
0.3317	1.0490	300	0.3408	0.8624	0.6311
0.3317	1.3986	400	0.3949	0.8364	0.6027
0.3317	1.7483	500	0.4566	0.8053	0.5879
0.2151	2.0979	600	0.3826	0.8518	0.6231
0.2151	2.4476	700	0.3385	0.8742	0.6425
0.2151	2.7972	800	0.3997	0.8487	0.6276
0.1610	3.1469	900	0.3860	0.8556	0.6354
0.1610	3.4965	1000	0.3598	0.8691	0.6496
0.1610	3.8462	1100	0.3614	0.8695	0.6488
0.1222	4.1958	1200	0.3683	0.8676	0.6477
0.1222	4.5455	1300	0.3678	0.8695	0.6497
0.1222	4.8951	1400	0.3628	0.8712	0.6504

Framework versions

Transformers 5.3.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

RonTon05/Revision_PhoBert_Lexical_MetaPho_Q1

Revision_PhoBert_Lexical_MetaPho_Q1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RonTon05/
Revision_PhoBert_Lexical_MetaPho_Q1