segformer-b0-finetuned-segments-stamp-verification
This model is a fine-tuned version of nvidia/mit-b0 on the AliShah07/stamp-verification dataset. It achieves the following results on the evaluation set:
- Loss: 0.0535
- Mean Iou: 0.1317
- Mean Accuracy: 0.2635
- Overall Accuracy: 0.2635
- Accuracy Unlabeled: nan
- Accuracy Stamp: 0.2635
- Iou Unlabeled: 0.0
- Iou Stamp: 0.2635
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: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Stamp | Iou Unlabeled | Iou Stamp |
---|---|---|---|---|---|---|---|---|---|---|
0.6502 | 0.8333 | 20 | 0.6958 | 0.4685 | 0.9370 | 0.9370 | nan | 0.9370 | 0.0 | 0.9370 |
0.4529 | 1.6667 | 40 | 0.5458 | 0.0754 | 0.1508 | 0.1508 | nan | 0.1508 | 0.0 | 0.1508 |
0.3716 | 2.5 | 60 | 0.3818 | 0.0021 | 0.0041 | 0.0041 | nan | 0.0041 | 0.0 | 0.0041 |
0.3238 | 3.3333 | 80 | 0.2932 | 0.0126 | 0.0252 | 0.0252 | nan | 0.0252 | 0.0 | 0.0252 |
0.2167 | 4.1667 | 100 | 0.2326 | 0.0008 | 0.0015 | 0.0015 | nan | 0.0015 | 0.0 | 0.0015 |
0.1948 | 5.0 | 120 | 0.2029 | 0.0033 | 0.0065 | 0.0065 | nan | 0.0065 | 0.0 | 0.0065 |
0.1643 | 5.8333 | 140 | 0.1609 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 |
0.1642 | 6.6667 | 160 | 0.1428 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 |
0.1326 | 7.5 | 180 | 0.1222 | 0.0001 | 0.0002 | 0.0002 | nan | 0.0002 | 0.0 | 0.0002 |
0.1012 | 8.3333 | 200 | 0.0981 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 |
0.0981 | 9.1667 | 220 | 0.0972 | 0.0058 | 0.0117 | 0.0117 | nan | 0.0117 | 0.0 | 0.0117 |
0.0838 | 10.0 | 240 | 0.0781 | 0.0015 | 0.0031 | 0.0031 | nan | 0.0031 | 0.0 | 0.0031 |
0.0771 | 10.8333 | 260 | 0.0708 | 0.0060 | 0.0120 | 0.0120 | nan | 0.0120 | 0.0 | 0.0120 |
0.0743 | 11.6667 | 280 | 0.0696 | 0.0298 | 0.0596 | 0.0596 | nan | 0.0596 | 0.0 | 0.0596 |
0.0655 | 12.5 | 300 | 0.0630 | 0.0398 | 0.0795 | 0.0795 | nan | 0.0795 | 0.0 | 0.0795 |
0.0673 | 13.3333 | 320 | 0.0613 | 0.0856 | 0.1712 | 0.1712 | nan | 0.1712 | 0.0 | 0.1712 |
0.0573 | 14.1667 | 340 | 0.0538 | 0.0725 | 0.1450 | 0.1450 | nan | 0.1450 | 0.0 | 0.1450 |
0.0623 | 15.0 | 360 | 0.0543 | 0.1008 | 0.2016 | 0.2016 | nan | 0.2016 | 0.0 | 0.2016 |
0.0557 | 15.8333 | 380 | 0.0559 | 0.1474 | 0.2947 | 0.2947 | nan | 0.2947 | 0.0 | 0.2947 |
0.0594 | 16.6667 | 400 | 0.0492 | 0.1019 | 0.2039 | 0.2039 | nan | 0.2039 | 0.0 | 0.2039 |
0.056 | 17.5 | 420 | 0.0479 | 0.1235 | 0.2470 | 0.2470 | nan | 0.2470 | 0.0 | 0.2470 |
0.0499 | 18.3333 | 440 | 0.0481 | 0.1124 | 0.2248 | 0.2248 | nan | 0.2248 | 0.0 | 0.2248 |
0.0516 | 19.1667 | 460 | 0.0477 | 0.1465 | 0.2930 | 0.2930 | nan | 0.2930 | 0.0 | 0.2930 |
0.0517 | 20.0 | 480 | 0.0535 | 0.1317 | 0.2635 | 0.2635 | nan | 0.2635 | 0.0 | 0.2635 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
nvidia/mit-b0