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RonTon05/
Revision_11_03_PhoBert_Lexical_Meta_Q1

Name: Revision_11_03_PhoBert_Lexical_Meta_Q1
Availability: InStock

transformers

safetensors

generated_from_trainer

phunganhsang/PhoBert_Lexical_Dataset45K

finetune

agpl-3.0

endpoints_compatible

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Revision_11_03_PhoBert_Lexical_Meta_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: 0.2511
Accuracy: 0.9401
F1: 0.7425

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	0.4065	100	0.1935	0.9304	0.7305
No log	0.8130	200	0.1800	0.9417	0.7484
0.2067	1.2195	300	0.1854	0.9438	0.7418
0.2067	1.6260	400	0.1959	0.9407	0.7444
0.1358	2.0325	500	0.2029	0.9432	0.7439
0.1358	2.4390	600	0.2148	0.9429	0.7471
0.1358	2.8455	700	0.2343	0.9324	0.7347
0.0997	3.2520	800	0.2295	0.9426	0.7442
0.0997	3.6585	900	0.2468	0.9352	0.7356
0.0725	4.0650	1000	0.2442	0.9432	0.7495
0.0725	4.4715	1100	0.2491	0.9403	0.7423
0.0725	4.8780	1200	0.2511	0.9401	0.7425

Framework versions

Transformers 5.3.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

RonTon05/Revision_11_03_PhoBert_Lexical_Meta_Q1

Revision_11_03_PhoBert_Lexical_Meta_Q1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RonTon05/
Revision_11_03_PhoBert_Lexical_Meta_Q1