PhoBERT-Final_VietNam-aug_insert_w2v – AI Model by ThuyNT03 | AlphaNeural AI

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ThuyNT03/
PhoBERT-Final_VietNam-aug_insert_w2v

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text-classification

generated_from_trainer

vinai/phobert-base-v2

autotrain_compatible

endpoints_compatible

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PhoBERT-aug_replace_synonym-aug_insert_w2v

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3269
Accuracy: 0.68
F1: 0.6858

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.895	1.0	85	0.7598	0.65	0.5672
0.5508	2.0	170	0.7204	0.69	0.6897
0.3688	3.0	255	0.8039	0.72	0.7133
0.2403	4.0	340	0.9418	0.66	0.6672
0.1453	5.0	425	1.1062	0.67	0.6755
0.1089	6.0	510	1.2567	0.68	0.6834
0.0843	7.0	595	1.3071	0.67	0.6755
0.0779	8.0	680	1.3269	0.68	0.6858

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3