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

Loss: 0.1908
Accuracy: 0.94

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
9.0308	1.0	75	2.0854	0.5067
4.0591	2.0	150	0.9363	0.8433
1.9789	3.0	225	0.5118	0.8867
1.3397	4.0	300	0.3700	0.9067
0.9292	5.0	375	0.2859	0.92
0.7772	6.0	450	0.2314	0.9233
0.8323	7.0	525	0.2472	0.9233
0.7398	8.0	600	0.2647	0.9233
0.6066	9.0	675	0.2107	0.9433
0.546	10.0	750	0.1908	0.94

Framework versions

Transformers 4.46.1
Pytorch 2.5.0+cu124
Datasets 3.0.2
Tokenizers 0.20.1

uisikdag/convnext-large-224-plant-seedling-classification

weeds24_convnext_balanced

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

uisikdag/
convnext-large-224-plant-seedling-classification