This model is a fine-tuned version of facebook/convnextv2-nano-22k-384 on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

Loss: 0.4761
Accuracy: 0.9081

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: 0.0003
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5814	1.0	275	0.5148	0.8477
0.2972	2.0	550	0.4967	0.8557
0.1871	3.0	825	0.4887	0.8716
0.1205	4.0	1100	0.5173	0.8688
0.0732	5.0	1375	0.4979	0.8815
0.0443	6.0	1650	0.5483	0.8815
0.0392	7.0	1925	0.5512	0.8835
0.018	8.0	2200	0.5102	0.8946
0.0043	9.0	2475	0.5423	0.8954
0.0087	10.0	2750	0.4903	0.9105
0.0035	11.0	3025	0.4855	0.9082
0.0022	12.0	3300	0.4874	0.9074
0.0019	13.0	3575	0.4858	0.9082
0.0018	14.0	3850	0.4857	0.9082
0.0018	15.0	4125	0.4859	0.9082

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

vuongnhathien/convnext-nano-15ep

convnext-nano-15ep

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vuongnhathien/
convnext-nano-15ep