KLTN_CSI_PhoBERRT

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: 0.0032

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	369	0.1454
0.2396	2.0	738	0.0870
0.1364	3.0	1107	0.0467
0.1364	4.0	1476	0.0268
0.0751	5.0	1845	0.0173
0.0419	6.0	2214	0.0224
0.0226	7.0	2583	0.0129
0.0226	8.0	2952	0.0049
0.0108	9.0	3321	0.0033
0.0087	10.0	3690	0.0032

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1