plant-seedlings-resnet-50 – AI Model by carolinetfls | AlphaNeural AI

You can deploy this model and start earning money today!

carolinetfls/
plant-seedlings-resnet-50

like

0

image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

plant-seedlings-resnet-50

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.4375
Accuracy: 0.8492

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3644	0.53	100	2.3284	0.2294
1.8235	1.06	200	1.8020	0.4396
1.4216	1.6	300	1.2533	0.6341
1.1626	2.13	400	0.8825	0.7186
0.9175	2.66	500	0.7782	0.7598
0.819	3.19	600	0.6772	0.7814
0.7846	3.72	700	0.6027	0.8006
0.6403	4.26	800	0.5450	0.8148
0.6702	4.79	900	0.5621	0.8119
0.6038	5.32	1000	0.4854	0.8374
0.7048	5.85	1100	0.4793	0.8325
0.4157	6.38	1200	0.4724	0.8345
0.4833	6.91	1300	0.4614	0.8404
0.5064	7.45	1400	0.4901	0.8340
0.4966	7.98	1500	0.4365	0.8522
0.5718	8.51	1600	0.4375	0.8423
0.41	9.04	1700	0.4322	0.8536
0.4956	9.57	1800	0.4375	0.8492

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3