CS505-L2T_AP2_filter1_CSI-PhoBERT – AI Model by ThuyNT03 | AlphaNeural AI

You can deploy this model and start earning money today!

ThuyNT03/
CS505-L2T_AP2_filter1_CSI-PhoBERT

like

0

text-classification

generated_from_trainer

vinai/phobert-base-v2

autotrain_compatible

endpoints_compatible

Views

No views yet

CS505-L2T_AP2_filter1_CSI-PhoBERT

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: 0.0019

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	318	0.1545
0.2771	1.99	636	0.1782
0.2771	2.99	954	0.0712
0.1442	3.99	1272	0.0415
0.0749	4.98	1590	0.0250
0.0749	5.98	1908	0.0213
0.0475	6.98	2226	0.0119
0.0273	7.97	2544	0.0101
0.0273	8.97	2862	0.0137
0.0186	9.97	3180	0.0060
0.0186	10.97	3498	0.0038
0.0122	11.96	3816	0.0042
0.0082	12.96	4134	0.0093
0.0082	13.96	4452	0.0021
0.0063	14.95	4770	0.0019

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2