plant-seedlings-resnet-152

carolinetfls/plant-seedlings-resnet-152

plant-seedlings-resnet-152 is a image classification model from carolinetfls. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: resnet
Access: Public
Created: Apr 23, 2023
Updated: Apr 23, 2023
SHA: 2826fcd8

Datasets

imagefolder

Model card

From the Hugging Face model README

plant-seedlings-resnet-152

This model is a fine-tuned version of microsoft/resnet-152 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.2604
Accuracy: 0.9147

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
2.175	0.53	100	2.1135	0.3247
1.146	1.06	200	1.0761	0.6654
0.8299	1.6	300	0.7586	0.7391
0.7896	2.13	400	0.7093	0.7680
0.7327	2.66	500	0.5140	0.8207
0.5207	3.19	600	0.5375	0.8183
0.6465	3.72	700	0.4620	0.8465
0.2745	4.26	800	0.4784	0.8324
0.5366	4.79	900	0.4804	0.8355
0.4467	5.32	1000	0.4354	0.8551
0.3604	5.85	1100	0.3950	0.8680
0.2511	6.38	1200	0.4279	0.8594
0.326	6.91	1300	0.3677	0.8852
0.3444	7.45	1400	0.3539	0.8748
0.4015	7.98	1500	0.3161	0.8950
0.2821	8.51	1600	0.4394	0.8686
0.435	9.04	1700	0.3408	0.8920
0.3318	9.57	1800	0.3886	0.8778
0.2441	10.11	1900	0.2854	0.9042
0.2467	10.64	2000	0.3248	0.8883
0.2082	11.17	2100	0.3080	0.8956
0.1983	11.7	2200	0.3394	0.8963
0.2609	12.23	2300	0.3582	0.8870
0.2055	12.77	2400	0.3330	0.8963
0.3476	13.3	2500	0.2852	0.9091
0.223	13.83	2600	0.3115	0.8999
0.2307	14.36	2700	0.2986	0.9098
0.3113	14.89	2800	0.3103	0.8993
0.1792	15.43	2900	0.2862	0.9098
0.1685	15.96	3000	0.2935	0.9055
0.2429	16.49	3100	0.2882	0.9122
0.2548	17.02	3200	0.2748	0.9165
0.3561	17.55	3300	0.2684	0.9171
0.1982	18.09	3400	0.2647	0.9147
0.1638	18.62	3500	0.2509	0.9171
0.2404	19.15	3600	0.2936	0.9165
0.2424	19.68	3700	0.2604	0.9147

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: resnet
License: apache-2.0
Created: Apr 23, 2023
Updated: Apr 23, 2023