This model is a fine-tuned version of facebook/convnext-base-224-22k on the indian_food_images dataset. It achieves the following results on the evaluation set:

Loss: 0.0978
Accuracy: 0.9741

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: 0.0002
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.373	1.0	4709	0.3002	0.8705
0.3244	2.0	9418	0.2262	0.9044
0.2801	3.0	14127	0.1987	0.9196
0.2366	4.0	18836	0.1788	0.9345
0.2051	5.0	23545	0.1463	0.9484
0.1764	6.0	28254	0.1202	0.9593
0.1595	7.0	32963	0.1243	0.9655
0.1359	8.0	37672	0.1188	0.9659
0.1231	9.0	42381	0.0978	0.9741
0.1162	10.0	47090	0.1001	0.9761

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2

sooks/idbwbase

idbwbase

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sooks/
idbwbase