Training in progress epoch 35

README.md

@@ -14,24 +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: 0.1946
-- Validation Loss: 0.6672
-- Validation Mean Iou: 0.3339
-- Validation Mean Accuracy: 0.4209
-- Validation Overall Accuracy: 0.8513
-- Validation Per Category Iou: [0.         0.70907556 0.87023802 0.51805269 0.49452017 0.43417189
-        nan 0.4707293  0.53176677 0.07924453 0.81809353 0.00447818
- 0.         0.         0.07079646 0.56036682 0.         0.
- 0.71873076 0.12939172 0.4609741  0.40598735 0.                nan
- 0.00292085 0.38228351 0.22329377 0.         0.85751928 0.83382942
- 0.92111467 0.00420779 0.2179034  0.29863321 0.        ]
-- Validation Per Category Accuracy: [0.         0.75629783 0.9496271  0.64646194 0.78470005 0.53164143
-        nan 0.62385316 0.71429455 0.08996029 0.91607252 0.00643289
- 0.                nan 0.07079646 0.77060234 0.         0.
- 0.87272877 0.16646642 0.64641331 0.51623095 0.                nan
- 0.00420521 0.43757258 0.28621236 0.         0.95711263 0.9030664
- 0.96767724 0.00712818 0.47279356 0.37110309 0.        ]
-- Epoch: 34
+- Train Loss: 0.1902
+- Validation Loss: 0.6752
+- Validation Mean Iou: 0.3282
+- Validation Mean Accuracy: 0.4101
+- Validation Overall Accuracy: 0.8514
+- Validation Per Category Iou: [0.00000000e+00 7.48854979e-01 8.61331067e-01 5.19863180e-01
+ 5.79477385e-01 3.51250983e-01            nan 4.50917183e-01
+ 5.23643337e-01 1.47324266e-01 8.00380433e-01 6.86907542e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.47400472e-01
+ 0.00000000e+00 0.00000000e+00 6.98699714e-01 4.83279925e-02
+ 4.41216481e-01 3.86371527e-01 0.00000000e+00            nan
+ 1.84009568e-04 3.73099406e-01 2.32542886e-01 0.00000000e+00
+ 8.60124125e-01 8.38582887e-01 9.28199683e-01 1.04543843e-02
+ 2.14406806e-01 2.68858654e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 8.10393846e-01 9.59458754e-01 6.49684677e-01
+ 6.92065071e-01 4.67204091e-01            nan 6.05073291e-01
+ 6.83021903e-01 1.97220647e-01 8.73930509e-01 7.84498313e-04
+ 0.00000000e+00            nan 0.00000000e+00 7.49750275e-01
+ 0.00000000e+00 0.00000000e+00 8.76772268e-01 5.11754773e-02
+ 6.34910631e-01 4.72221966e-01 0.00000000e+00            nan
+ 2.80347631e-04 4.48177854e-01 2.92171157e-01 0.00000000e+00
+ 9.44228324e-01 9.22107275e-01 9.61649098e-01 1.58712035e-02
+ 4.69801197e-01 3.44952309e-01 0.00000000e+00]
+- Epoch: 35
 
 ## Model description
 
@@ -502,6 +508,23 @@ The following hyperparameters were used during training:
  0.87272877 0.16646642 0.64641331 0.51623095 0.                nan
  0.00420521 0.43757258 0.28621236 0.         0.95711263 0.9030664
  0.96767724 0.00712818 0.47279356 0.37110309 0.        ]                                                                                                                                                         | 34    |
+| 0.1902     | 0.6752          | 0.3282              | 0.4101                   | 0.8514                      | [0.00000000e+00 7.48854979e-01 8.61331067e-01 5.19863180e-01
+ 5.79477385e-01 3.51250983e-01            nan 4.50917183e-01
+ 5.23643337e-01 1.47324266e-01 8.00380433e-01 6.86907542e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.47400472e-01
+ 0.00000000e+00 0.00000000e+00 6.98699714e-01 4.83279925e-02
+ 4.41216481e-01 3.86371527e-01 0.00000000e+00            nan
+ 1.84009568e-04 3.73099406e-01 2.32542886e-01 0.00000000e+00
+ 8.60124125e-01 8.38582887e-01 9.28199683e-01 1.04543843e-02
+ 2.14406806e-01 2.68858654e-01 0.00000000e+00] | [0.00000000e+00 8.10393846e-01 9.59458754e-01 6.49684677e-01
+ 6.92065071e-01 4.67204091e-01            nan 6.05073291e-01
+ 6.83021903e-01 1.97220647e-01 8.73930509e-01 7.84498313e-04
+ 0.00000000e+00            nan 0.00000000e+00 7.49750275e-01
+ 0.00000000e+00 0.00000000e+00 8.76772268e-01 5.11754773e-02
+ 6.34910631e-01 4.72221966e-01 0.00000000e+00            nan
+ 2.80347631e-04 4.48177854e-01 2.92171157e-01 0.00000000e+00
+ 9.44228324e-01 9.22107275e-01 9.61649098e-01 1.58712035e-02
+ 4.69801197e-01 3.44952309e-01 0.00000000e+00] | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:53d739e4a7c93bfe786f9d21d0f819fadd013b06e9714931bc1c8bea63f0db21
+oid sha256:b96e95f2d84a3c33f054f743b36c3ff2800065e8fe05792736fd2d0fdd6cbb92
 size 15167588