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saad7489
/
segformer-b0-finetuned-segments-SixrayKnife8-19-2024

Image Segmentation
TensorBoard
Safetensors
segformer
vision
Generated from Trainer
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saad7489 commited on
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End of training

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Files changed (5) hide show
  1. README.md +20 -20
  2. config.json +6 -6
  3. model.safetensors +1 -1
  4. runs/Aug20_12-09-51_2e55902cfd04/events.out.tfevents.1724155802.2e55902cfd04.1458.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- base_model: nvidia/mit-b0
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  license: other
 
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  tags:
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  - vision
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  - image-segmentation
@@ -17,16 +17,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the saad7489/SixraygunTest dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6355
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- - Mean Iou: 0.5008
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- - Mean Accuracy: 0.7954
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- - Overall Accuracy: 0.7906
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- - Accuracy Bkg: nan
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- - Accuracy Knife: 0.7186
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- - Accuracy Gun: 0.8722
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- - Iou Bkg: 0.0
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- - Iou Knife: 0.6915
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- - Iou Gun: 0.8110
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  ## Model description
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@@ -55,15 +55,15 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Bkg | Accuracy Knife | Accuracy Gun | Iou Bkg | Iou Knife | Iou Gun |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:--------------:|:------------:|:-------:|:---------:|:-------:|
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- | 0.7945 | 1.4286 | 20 | 0.7932 | 0.5023 | 0.8446 | 0.8389 | nan | 0.7531 | 0.9361 | 0.0 | 0.7186 | 0.7883 |
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- | 0.7385 | 2.8571 | 40 | 0.7324 | 0.5150 | 0.8445 | 0.8404 | nan | 0.7787 | 0.9103 | 0.0 | 0.7375 | 0.8074 |
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- | 0.7139 | 4.2857 | 60 | 0.7152 | 0.5033 | 0.8256 | 0.8200 | nan | 0.7358 | 0.9155 | 0.0 | 0.7072 | 0.8027 |
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- | 0.7405 | 5.7143 | 80 | 0.6747 | 0.4953 | 0.7972 | 0.7917 | nan | 0.7078 | 0.8866 | 0.0 | 0.6785 | 0.8075 |
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- | 0.6666 | 7.1429 | 100 | 0.6442 | 0.4937 | 0.7919 | 0.7860 | nan | 0.6964 | 0.8874 | 0.0 | 0.6723 | 0.8089 |
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- | 0.6357 | 8.5714 | 120 | 0.6210 | 0.4957 | 0.7874 | 0.7823 | nan | 0.7059 | 0.8688 | 0.0 | 0.6794 | 0.8076 |
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- | 0.6548 | 10.0 | 140 | 0.6355 | 0.5008 | 0.7954 | 0.7906 | nan | 0.7186 | 0.8722 | 0.0 | 0.6915 | 0.8110 |
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  ### Framework versions
 
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  ---
 
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  license: other
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+ base_model: nvidia/mit-b0
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  tags:
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  - vision
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  - image-segmentation
 
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  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the saad7489/SixraygunTest dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9038
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+ - Mean Iou: 0.4486
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+ - Mean Accuracy: 0.8693
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+ - Overall Accuracy: 0.8708
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+ - Accuracy Bkg: 0.8709
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+ - Accuracy Gun: 0.8680
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+ - Accuracy Knife: 0.8689
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+ - Iou Bkg: 0.8700
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+ - Iou Gun: 0.1670
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+ - Iou Knife: 0.3088
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Bkg | Accuracy Gun | Accuracy Knife | Iou Bkg | Iou Gun | Iou Knife |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:------------:|:--------------:|:-------:|:-------:|:---------:|
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+ | 1.0919 | 1.4286 | 20 | 1.1033 | 0.1925 | 0.6509 | 0.3960 | 0.3783 | 0.8281 | 0.7462 | 0.3783 | 0.0314 | 0.1677 |
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+ | 1.0576 | 2.8571 | 40 | 1.0473 | 0.3242 | 0.7738 | 0.6681 | 0.6608 | 0.8826 | 0.7781 | 0.6607 | 0.0600 | 0.2518 |
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+ | 0.9844 | 4.2857 | 60 | 0.9913 | 0.3823 | 0.8265 | 0.7783 | 0.7750 | 0.8873 | 0.8171 | 0.7748 | 0.0928 | 0.2793 |
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+ | 0.9604 | 5.7143 | 80 | 0.9385 | 0.4206 | 0.8552 | 0.8396 | 0.8386 | 0.8813 | 0.8457 | 0.8381 | 0.1334 | 0.2902 |
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+ | 0.9418 | 7.1429 | 100 | 0.9073 | 0.4389 | 0.8651 | 0.8592 | 0.8588 | 0.8795 | 0.8570 | 0.8581 | 0.1520 | 0.3065 |
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+ | 0.9029 | 8.5714 | 120 | 0.8989 | 0.4474 | 0.8672 | 0.8683 | 0.8684 | 0.8712 | 0.8620 | 0.8677 | 0.1621 | 0.3123 |
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+ | 0.9277 | 10.0 | 140 | 0.9038 | 0.4486 | 0.8693 | 0.8708 | 0.8709 | 0.8680 | 0.8689 | 0.8700 | 0.1670 | 0.3088 |
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  ### Framework versions
config.json CHANGED
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  256
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  ],
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  "id2label": {
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- "2": "gun"
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  },
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  "image_size": 224,
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  "initializer_range": 0.02,
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  "label2id": {
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- "bkg": 0,
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- "gun": 2,
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- "knife": 1
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  },
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  "layer_norm_eps": 1e-06,
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  "mlp_ratios": [
 
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  256
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  "id2label": {
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+ "0": "BKG",
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+ "1": "gun",
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+ "2": "knife"
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  },
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  "image_size": 224,
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  "initializer_range": 0.02,
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  "label2id": {
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+ "BKG": 0,
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+ "gun": 1,
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+ "knife": 2
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  },
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  "layer_norm_eps": 1e-06,
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  "mlp_ratios": [
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