segformer-b0-finetuned-segments-docboundary-nov-13 – AI Model by vigneshgs7 | AlphaNeural AI

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vigneshgs7/
segformer-b0-finetuned-segments-docboundary-nov-13

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segformer-b0-finetuned-segments-docboundary-nov-13

This model is a fine-tuned version of nvidia/mit-b0 on the vigneshgs7/doc-boundary dataset. It achieves the following results on the evaluation set:

Loss: 0.2806
Mean Iou: 0.4886
Mean Accuracy: 0.9771
Overall Accuracy: 0.9771
Accuracy Page: nan
Accuracy Surface: 0.9771
Iou Page: 0.0
Iou Surface: 0.9771

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: 2
eval_batch_size: 2
seed: 42
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	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Page	Accuracy Surface	Iou Page	Iou Surface
0.4191	2.22	20	0.5643	0.4651	0.9301	0.9301	nan	0.9301	0.0	0.9301
0.3141	4.44	40	0.3959	0.4866	0.9733	0.9733	nan	0.9733	0.0	0.9733
0.2865	6.67	60	0.2889	0.4870	0.9740	0.9740	nan	0.9740	0.0	0.9740
0.3955	8.89	80	0.2806	0.4886	0.9771	0.9771	nan	0.9771	0.0	0.9771

Framework versions

Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1