convnext-nano-15ep

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