KLTN_CSI_PhoBERRT_v2

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: 0.0007

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: 8
• seed: 41
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	369	0.1283
0.2465	2.0	738	0.0901
0.1381	3.0	1107	0.0591
0.1381	4.0	1476	0.0484
0.0916	5.0	1845	0.0397
0.0455	6.0	2214	0.0151
0.0335	7.0	2583	0.0170
0.0335	8.0	2952	0.0157
0.0164	9.0	3321	0.0036
0.01	10.0	3690	0.0018
0.0065	11.0	4059	0.0031
0.0065	12.0	4428	0.0030
0.0057	13.0	4797	0.0053
0.0071	14.0	5166	0.0007
0.0022	15.0	5535	0.0007

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2