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janjibDEV/
vit-plantnet300k

Name: vit-plantnet300k
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224

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vit-plantnet300k

This model is a fine-tuned version of google/vit-base-patch16-224 on the mikehemberger/plantnet300K dataset. It achieves the following results on the evaluation set:

Loss: 0.8831
Accuracy: 0.8046

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.2973	0.04	100	2.0799	0.6139
3.413	0.08	200	1.4738	0.7076
2.6718	0.12	300	1.2331	0.7479
2.308	0.16	400	1.0966	0.7701
2.2116	0.2	500	1.0115	0.7834
1.9719	0.24	600	0.9609	0.7910
1.8785	0.28	700	0.9247	0.798
1.7549	0.32	800	0.9014	0.8002
1.8103	0.36	900	0.8874	0.8031
1.7776	0.4	1000	0.8831	0.8046

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

janjibDEV/vit-plantnet300k

vit-plantnet300k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

janjibDEV/
vit-plantnet300k