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ydmeira/segformer-b0-finetuned-pokemon

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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segformer-b0-finetuned-pokemon

This model is a fine-tuned version of ydmeira/segformer-b0-finetuned-pokemon on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.0157
—Mean Iou: 0.4970
—Mean Accuracy: 0.9940
—Overall Accuracy: 0.9940
—Per Category Iou: [0.0, 0.9940101727137823]
—Per Category Accuracy: [nan, 0.9940101727137823]

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
—trainbatchsize: 24
—evalbatchsize: 24
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
0.0175	45.0	1305	0.0157	0.4971	0.9943	0.9943	[0.0, 0.9942906494536522]	[nan, 0.9942906494536522]
0.018	46.0	1334	0.0157	0.4968	0.9936	0.9936	[0.0, 0.9936369941650801]	[nan, 0.9936369941650801]
0.0185	47.0	1363	0.0157	0.4971	0.9943	0.9943	[0.0, 0.9942791789145462]	[nan, 0.9942791789145462]
0.018	48.0	1392	0.0157	0.4969	0.9937	0.9937	[0.0, 0.9937245121725857]	[nan, 0.9937245121725857]
0.0183	49.0	1421	0.0157	0.4969	0.9939	0.9939	[0.0, 0.9938530594161242]	[nan, 0.9938530594161242]
0.0196	50.0	1450	0.0157	0.4970	0.9940	0.9940	[0.0, 0.9940101727137823]	[nan, 0.9940101727137823]

Framework versions

—Transformers 4.20.1
—Pytorch 1.12.0+cu113
—Datasets 2.3.2
—Tokenizers 0.12.1