Training in progress epoch 11

README.md

@@ -14,30 +14,24 @@ 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: 0.3827
+- Train Loss: 0.3545
 - Validation Loss: 0.6001
-- Validation Mean Iou: 0.3153
-- Validation Mean Accuracy: 0.3830
-- Validation Overall Accuracy: 0.8399
-- Validation Per Category Iou: [0.00000000e+00 7.18523940e-01 8.57241195e-01 4.87400335e-01
- 5.64909227e-01 3.46474032e-01            nan 3.52839201e-01
- 4.72771964e-01 2.26308345e-04 7.96560839e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 5.60432300e-01
- 0.00000000e+00 0.00000000e+00 6.83278176e-01 3.50039777e-02
- 4.23414561e-01 3.13947966e-01 0.00000000e+00            nan
- 0.00000000e+00 3.22699644e-01 1.08833077e-01 0.00000000e+00
- 8.47684853e-01 8.05165122e-01 9.05812333e-01 6.78139068e-03
- 2.30358320e-01 2.48185158e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.00405608e-01 9.43426295e-01 6.48294679e-01
- 6.81857870e-01 5.18050809e-01            nan 4.57279092e-01
- 6.27335726e-01 2.26885990e-04 9.00155725e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 7.09644391e-01
- 0.00000000e+00 0.00000000e+00 8.82359726e-01 3.50045460e-02
- 6.04178245e-01 3.33862219e-01 0.00000000e+00            nan
- 0.00000000e+00 4.02788008e-01 1.21141046e-01 0.00000000e+00
- 9.46216343e-01 9.21245814e-01 9.55916812e-01 1.34407725e-02
- 4.56834285e-01 2.96304685e-01 0.00000000e+00]
-- Epoch: 10
+- Validation Mean Iou: 0.3183
+- Validation Mean Accuracy: 0.3876
+- Validation Overall Accuracy: 0.8403
+- Validation Per Category Iou: [0.         0.72446673 0.85906725 0.50307184 0.59402909 0.33935205
+        nan 0.36653095 0.49281565 0.         0.79716382 0.
+ 0.                nan 0.         0.54502138 0.         0.
+ 0.67058988 0.01229056 0.33404111 0.35615386 0.                nan
+ 0.         0.3402916  0.13274148 0.         0.84876007 0.80426728
+ 0.90568008 0.00767061 0.27079805 0.280819   0.        ]
+- Validation Per Category Accuracy: [0.         0.80252235 0.93835903 0.64483513 0.75981034 0.47343152
+        nan 0.51602703 0.68908551 0.         0.91483973 0.
+ 0.                nan 0.         0.72268005 0.         0.
+ 0.90438608 0.01229056 0.42963846 0.43749539 0.                nan
+ 0.         0.40012652 0.15828843 0.         0.92988659 0.92495156
+ 0.96015873 0.01578965 0.43451194 0.3352385  0.        ]
+- Epoch: 11
 
 ## Model description
 
@@ -196,6 +190,17 @@ The following hyperparameters were used during training:
  0.00000000e+00 4.02788008e-01 1.21141046e-01 0.00000000e+00
  9.46216343e-01 9.21245814e-01 9.55916812e-01 1.34407725e-02
  4.56834285e-01 2.96304685e-01 0.00000000e+00] | 10    |
+| 0.3545     | 0.6001          | 0.3183              | 0.3876                   | 0.8403                      | [0.         0.72446673 0.85906725 0.50307184 0.59402909 0.33935205
+        nan 0.36653095 0.49281565 0.         0.79716382 0.
+ 0.                nan 0.         0.54502138 0.         0.
+ 0.67058988 0.01229056 0.33404111 0.35615386 0.                nan
+ 0.         0.3402916  0.13274148 0.         0.84876007 0.80426728
+ 0.90568008 0.00767061 0.27079805 0.280819   0.        ]                                                                                                                                                                | [0.         0.80252235 0.93835903 0.64483513 0.75981034 0.47343152
+        nan 0.51602703 0.68908551 0.         0.91483973 0.
+ 0.                nan 0.         0.72268005 0.         0.
+ 0.90438608 0.01229056 0.42963846 0.43749539 0.                nan
+ 0.         0.40012652 0.15828843 0.         0.92988659 0.92495156
+ 0.96015873 0.01578965 0.43451194 0.3352385  0.        ]                                                                                                                                                                | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1dae47df6da83fdcea70678255ce9ecea1bc5cbcf3d566e7b039b3183bcecda1
+oid sha256:1934ef2c5222ea1994aceba5c5053b979f33f806f73a003c460397da7346686f
 size 15167588