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ThuyNT03/PhoBERT-train-aug_insert_synonym

sourceHugging Faceupdated 3y agoView on Hugging Face

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PhoBERT-train-auginsertsynonym

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: 1.1984
—Accuracy: 0.71
—F1: 0.7177

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
—trainbatchsize: 16
—evalbatchsize: 16
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8731	1.0	87	0.6799	0.72	0.7020
0.5385	2.0	174	0.5962	0.77	0.7754
0.3391	3.0	261	0.7283	0.74	0.7477
0.213	4.0	348	0.8581	0.72	0.7272
0.155	5.0	435	1.0390	0.72	0.7288
0.1173	6.0	522	1.1048	0.71	0.7190
0.0895	7.0	609	1.1713	0.72	0.7272
0.066	8.0	696	1.1984	0.71	0.7177

Framework versions

—Transformers 4.32.1
—Pytorch 2.0.1+cu118
—Datasets 2.14.4
—Tokenizers 0.13.3