This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.2095
Accuracy: 0.9701

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5298	0.8	100	0.3284	0.8816
0.227	1.6	200	0.2696	0.9164
0.0994	2.4	300	0.4517	0.8886
0.1671	3.2	400	0.3317	0.9164
0.1438	4.0	500	0.2582	0.9363
0.0072	4.8	600	0.2833	0.9413
0.0873	5.6	700	0.2988	0.9154
0.0193	6.4	800	0.2307	0.9483
0.0141	7.2	900	0.3538	0.9333
0.0057	8.0	1000	0.2162	0.9552
0.0046	8.8	1100	0.2587	0.9502
0.0235	9.6	1200	0.3755	0.9443
0.0399	10.4	1300	0.2639	0.9493
0.0031	11.2	1400	0.2164	0.9632
0.0001	12.0	1500	0.2075	0.9701
0.0001	12.8	1600	0.2074	0.9701
0.0001	13.6	1700	0.2078	0.9701
0.0001	14.4	1800	0.2081	0.9701
0.0001	15.2	1900	0.2084	0.9701
0.0001	16.0	2000	0.2088	0.9701
0.0001	16.8	2100	0.2089	0.9701
0.0001	17.6	2200	0.2092	0.9701
0.0001	18.4	2300	0.2095	0.9701
0.0001	19.2	2400	0.2095	0.9701
0.0001	20.0	2500	0.2095	0.9701

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

carolinetfls/plant-seedlings-model

plant-seedlings-model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

carolinetfls/
plant-seedlings-model