This model is a fine-tuned version of nvidia/mit-b0 on the janakipanneerselvam/TMSL21_Sunlit_Tomatoes dataset. It achieves the following results on the evaluation set:

Loss: 0.0197
Mean Iou: 0.0
Mean Accuracy: nan
Overall Accuracy: nan
Accuracy Sunlit: nan
Iou Sunlit: 0.0

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: 6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Sunlit	Iou Sunlit
0.0164	0.24	100	0.0197	0.0	nan	nan	nan	0.0

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

janakipanneerselvam/segformer-finetuned-TMSL21_Sunlit_Tomatoes

segformer-finetuned-TMSL21_Sunlit_Tomatoes

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

janakipanneerselvam/
segformer-finetuned-TMSL21_Sunlit_Tomatoes