Training in progress epoch 17

README.md

@@ -14,30 +14,30 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2958
-- Validation Loss: 0.4558
-- Validation Mean Iou: 0.3321
-- Validation Mean Accuracy: 0.3960
-- Validation Overall Accuracy: 0.8649
-- Validation Per Category Iou: [0.00000000e+00 7.61108709e-01 8.60621205e-01 6.66132134e-01
- 8.52805958e-01 4.61529893e-01            nan 4.08367412e-01
- 5.31449716e-01 0.00000000e+00 8.35699926e-01 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.07030790e-01
- 0.00000000e+00 0.00000000e+00 7.07129610e-01 6.48353710e-02
- 3.15606022e-01 5.11721371e-01 0.00000000e+00            nan
- 6.30311903e-04 2.73874288e-01 2.03863944e-01 0.00000000e+00
- 8.66259515e-01 7.58237242e-01 9.29139752e-01 2.50199629e-01
- 3.09762934e-02 1.61355571e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 9.26534567e-01 9.27389090e-01 7.04037518e-01
- 9.24733729e-01 5.57765301e-01            nan 5.03121563e-01
- 8.16946898e-01 0.00000000e+00 9.33051726e-01 0.00000000e+00
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.15985021e-01
- 0.00000000e+00 0.00000000e+00 8.13389275e-01 6.50734371e-02
- 6.70053085e-01 6.00421712e-01 0.00000000e+00            nan
- 6.81363606e-04 3.40217727e-01 2.25090328e-01 0.00000000e+00
- 9.48289295e-01 8.67999126e-01 9.71413074e-01 3.64800631e-01
- 8.85273258e-02 2.01834862e-01 0.00000000e+00]
-- Epoch: 16
+- Train Loss: 0.2734
+- Validation Loss: 0.4359
+- Validation Mean Iou: 0.3324
+- Validation Mean Accuracy: 0.3921
+- Validation Overall Accuracy: 0.8700
+- Validation Per Category Iou: [0.00000000e+00 7.69753150e-01 8.66375446e-01 7.12734804e-01
+ 8.60891290e-01 4.75851982e-01            nan 4.34175617e-01
+ 5.46685274e-01 3.24503811e-02 8.38429371e-01 6.02288697e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.86131744e-01
+ 0.00000000e+00 0.00000000e+00 7.27408322e-01 8.04817093e-02
+ 3.54733831e-01 5.42941315e-01 0.00000000e+00            nan
+ 2.71841412e-04 2.58488818e-01 1.79625596e-01 0.00000000e+00
+ 8.66870562e-01 7.48169480e-01 9.27856685e-01 7.49529761e-02
+ 5.06564228e-02 1.31117070e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 9.25702577e-01 9.27332221e-01 7.66360378e-01
+ 9.04612005e-01 5.93608265e-01            nan 6.05902185e-01
+ 7.70458139e-01 3.87911592e-02 9.33542542e-01 1.19000397e-03
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.85184718e-01
+ 0.00000000e+00 0.00000000e+00 8.77167736e-01 9.19689932e-02
+ 5.50758130e-01 6.18987337e-01 0.00000000e+00            nan
+ 2.85733125e-04 3.36777474e-01 1.97679266e-01 0.00000000e+00
+ 9.34506301e-01 8.56945493e-01 9.73108663e-01 8.09021630e-02
+ 2.00250313e-01 1.67017963e-01 0.00000000e+00]
+- Epoch: 17
 
 ## Model description
 
@@ -280,6 +280,23 @@ The following hyperparameters were used during training:
  6.81363606e-04 3.40217727e-01 2.25090328e-01 0.00000000e+00
  9.48289295e-01 8.67999126e-01 9.71413074e-01 3.64800631e-01
  8.85273258e-02 2.01834862e-01 0.00000000e+00] | 16    |
+| 0.2734     | 0.4359          | 0.3324              | 0.3921                   | 0.8700                      | [0.00000000e+00 7.69753150e-01 8.66375446e-01 7.12734804e-01
+ 8.60891290e-01 4.75851982e-01            nan 4.34175617e-01
+ 5.46685274e-01 3.24503811e-02 8.38429371e-01 6.02288697e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.86131744e-01
+ 0.00000000e+00 0.00000000e+00 7.27408322e-01 8.04817093e-02
+ 3.54733831e-01 5.42941315e-01 0.00000000e+00            nan
+ 2.71841412e-04 2.58488818e-01 1.79625596e-01 0.00000000e+00
+ 8.66870562e-01 7.48169480e-01 9.27856685e-01 7.49529761e-02
+ 5.06564228e-02 1.31117070e-01 0.00000000e+00] | [0.00000000e+00 9.25702577e-01 9.27332221e-01 7.66360378e-01
+ 9.04612005e-01 5.93608265e-01            nan 6.05902185e-01
+ 7.70458139e-01 3.87911592e-02 9.33542542e-01 1.19000397e-03
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.85184718e-01
+ 0.00000000e+00 0.00000000e+00 8.77167736e-01 9.19689932e-02
+ 5.50758130e-01 6.18987337e-01 0.00000000e+00            nan
+ 2.85733125e-04 3.36777474e-01 1.97679266e-01 0.00000000e+00
+ 9.34506301e-01 8.56945493e-01 9.73108663e-01 8.09021630e-02
+ 2.00250313e-01 1.67017963e-01 0.00000000e+00] | 17    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3d2adb4ca9c99ffd80f4c04c18c525bfa4577701f5c84de9f83aaae087261c4
+oid sha256:23cdf65f0cc36d1e333b737441c7f6c1ba116f4801583aa4beff14dce865d420
 size 15167588