This model is a fine-tuned version of microsoft/resnet-50 on the matthieulel/galaxy10_decals dataset. It achieves the following results on the evaluation set:

Loss: 1.5789
Accuracy: 0.4138
Precision: 0.4493
Recall: 0.4138
F1: 0.3134

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.2417	0.9940	124	2.2265	0.2373	0.0697	0.2373	0.1077
2.1616	1.9960	249	2.1268	0.1950	0.1132	0.1950	0.0889
2.0459	2.9980	374	1.9901	0.2401	0.1029	0.2401	0.1290
1.9203	4.0	499	1.8571	0.3303	0.3116	0.3303	0.2052
1.8347	4.9940	623	1.7692	0.3613	0.2694	0.3613	0.2457
1.7628	5.9960	748	1.6926	0.3850	0.4172	0.3850	0.2758
1.723	6.9980	873	1.6342	0.3985	0.4428	0.3985	0.2922
1.71	8.0	998	1.6071	0.4104	0.4369	0.4104	0.3122
1.6948	8.9940	1122	1.5789	0.4138	0.4493	0.4138	0.3134
1.656	9.9399	1240	1.5805	0.4053	0.4176	0.4053	0.3034

Framework versions

Transformers 4.41.2
Pytorch 2.1.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

matthieulel/resnet-50-finetuned-galaxy10-decals

resnet-50-finetuned-galaxy10-decals

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

matthieulel/
resnet-50-finetuned-galaxy10-decals