my_awesome_food_model_v2

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8053
• Accuracy: 0.8083

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: 5e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.4448	0.9932	110	4.4236	0.0914
3.8312	1.9955	221	3.8007	0.4096
3.1568	2.9977	332	3.1221	0.5435
2.4967	4.0	443	2.4920	0.6308
2.0432	4.9932	553	2.0252	0.6825
1.6512	5.9955	664	1.6771	0.7184
1.388	6.9977	775	1.4464	0.7367
1.1677	8.0	886	1.2782	0.7533
1.0307	8.9932	996	1.1741	0.7625
0.9156	9.9955	1107	1.0900	0.7741
0.8283	10.9977	1218	1.0295	0.7771
0.8078	12.0	1329	0.9949	0.7776
0.7643	12.9932	1439	0.9656	0.7817
0.6578	13.9955	1550	0.9274	0.7868
0.611	14.9977	1661	0.9051	0.7921
0.6016	16.0	1772	0.9009	0.7912
0.5652	16.9932	1882	0.8772	0.7963
0.5492	17.9955	1993	0.8559	0.7992
0.5054	18.9977	2104	0.8734	0.7956
0.5351	20.0	2215	0.8617	0.7999
0.4949	20.9932	2325	0.8487	0.8013
0.4701	21.9955	2436	0.8437	0.8013
0.4576	22.9977	2547	0.8430	0.8008
0.4573	24.0	2658	0.8195	0.8071
0.4399	24.9932	2768	0.8206	0.8071
0.424	25.9955	2879	0.8212	0.8068
0.4031	26.9977	2990	0.8202	0.8069
0.4031	28.0	3101	0.8173	0.8080
0.407	28.9932	3211	0.8051	0.8069
0.4194	29.7968	3300	0.8053	0.8083

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1