This model is a fine-tuned version of nvidia/segformer-b1-finetuned-ade-512-512 on the mouadenna/satellite_PV_dataset_train_test_v1 dataset. It achieves the following results on the evaluation set:

Loss: 0.0133
Mean Iou: 0.8164
Precision: 0.8785
Recall: 0.9203

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: 0.0004
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Precision	Recall
0.0151	0.9989	229	0.0133	0.8164	0.8785	0.9203

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

mouadenna/segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try_7_31

segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try_7_31

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mouadenna/
segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try_7_31