Training in progress epoch 27

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: 0.2174
-- Validation Loss: 0.6628
-- Validation Mean Iou: 0.3253
-- Validation Mean Accuracy: 0.4085
-- Validation Overall Accuracy: 0.8481
-- Validation Per Category Iou: [0.00000000e+00 7.12004421e-01 8.67849109e-01 5.06086069e-01
- 5.33272886e-01 3.43273619e-01            nan 4.54065518e-01
- 5.22321577e-01 1.22861668e-01 8.23942782e-01 4.09584272e-04
- 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.68874956e-01
- 0.00000000e+00 0.00000000e+00 7.18493639e-01 1.36007016e-01
- 4.79722113e-01 3.68024008e-01 0.00000000e+00            nan
- 0.00000000e+00 3.63955101e-01 1.88599214e-01 0.00000000e+00
- 8.48893807e-01 8.09523434e-01 9.19749594e-01 6.16287868e-03
- 1.59932885e-01 2.80999069e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.06451570e-01 9.46650239e-01 6.53411928e-01
- 6.52714160e-01 4.89195197e-01            nan 6.01258726e-01
- 6.95476161e-01 1.31990925e-01 9.27085524e-01 6.27598651e-04
- 0.00000000e+00            nan 0.00000000e+00 7.68117571e-01
- 0.00000000e+00 0.00000000e+00 9.05658822e-01 1.41008573e-01
- 5.94104088e-01 4.50813623e-01 0.00000000e+00            nan
- 0.00000000e+00 4.44671381e-01 2.31125198e-01 0.00000000e+00
- 9.31240381e-01 9.32472058e-01 9.61985230e-01 1.10266532e-02
- 4.52431726e-01 3.41062626e-01 0.00000000e+00]
-- Epoch: 26
+- Train Loss: 0.2340
+- Validation Loss: 0.6300
+- Validation Mean Iou: 0.3327
+- Validation Mean Accuracy: 0.4184
+- Validation Overall Accuracy: 0.8530
+- Validation Per Category Iou: [0.00000000e+00 7.44665882e-01 8.68263319e-01 5.26574132e-01
+ 5.88521342e-01 3.51003004e-01            nan 4.33815170e-01
+ 5.34720596e-01 1.01138747e-01 8.24056720e-01 2.07010765e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.02116780e-01
+ 0.00000000e+00 0.00000000e+00 7.13881744e-01 1.36500853e-01
+ 4.25515119e-01 4.00566922e-01 0.00000000e+00            nan
+ 0.00000000e+00 3.69157017e-01 2.25330495e-01 0.00000000e+00
+ 8.55194385e-01 8.27702798e-01 9.19514525e-01 2.51152534e-02
+ 1.78530188e-01 3.25860113e-01 0.00000000e+00]
+- Validation Per Category Accuracy: [0.00000000e+00 8.22290631e-01 9.55536279e-01 6.43592714e-01
+ 7.08153162e-01 4.50649984e-01            nan 6.10599157e-01
+ 7.26377570e-01 1.14861032e-01 9.26899711e-01 2.35349494e-04
+ 0.00000000e+00            nan 0.00000000e+00 7.99845170e-01
+ 0.00000000e+00 0.00000000e+00 8.29482514e-01 1.51967788e-01
+ 6.41329445e-01 4.70916664e-01 0.00000000e+00            nan
+ 0.00000000e+00 4.52353087e-01 2.88494453e-01 0.00000000e+00
+ 9.49620338e-01 9.19992398e-01 9.70863538e-01 5.53616286e-02
+ 4.46687762e-01 4.53320329e-01 0.00000000e+00]
+- Epoch: 27
 
 ## Model description
 
@@ -396,6 +396,23 @@ The following hyperparameters were used during training:
  0.00000000e+00 4.44671381e-01 2.31125198e-01 0.00000000e+00
  9.31240381e-01 9.32472058e-01 9.61985230e-01 1.10266532e-02
  4.52431726e-01 3.41062626e-01 0.00000000e+00] | 26    |
+| 0.2340     | 0.6300          | 0.3327              | 0.4184                   | 0.8530                      | [0.00000000e+00 7.44665882e-01 8.68263319e-01 5.26574132e-01
+ 5.88521342e-01 3.51003004e-01            nan 4.33815170e-01
+ 5.34720596e-01 1.01138747e-01 8.24056720e-01 2.07010765e-04
+ 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.02116780e-01
+ 0.00000000e+00 0.00000000e+00 7.13881744e-01 1.36500853e-01
+ 4.25515119e-01 4.00566922e-01 0.00000000e+00            nan
+ 0.00000000e+00 3.69157017e-01 2.25330495e-01 0.00000000e+00
+ 8.55194385e-01 8.27702798e-01 9.19514525e-01 2.51152534e-02
+ 1.78530188e-01 3.25860113e-01 0.00000000e+00] | [0.00000000e+00 8.22290631e-01 9.55536279e-01 6.43592714e-01
+ 7.08153162e-01 4.50649984e-01            nan 6.10599157e-01
+ 7.26377570e-01 1.14861032e-01 9.26899711e-01 2.35349494e-04
+ 0.00000000e+00            nan 0.00000000e+00 7.99845170e-01
+ 0.00000000e+00 0.00000000e+00 8.29482514e-01 1.51967788e-01
+ 6.41329445e-01 4.70916664e-01 0.00000000e+00            nan
+ 0.00000000e+00 4.52353087e-01 2.88494453e-01 0.00000000e+00
+ 9.49620338e-01 9.19992398e-01 9.70863538e-01 5.53616286e-02
+ 4.46687762e-01 4.53320329e-01 0.00000000e+00] | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76bdc44b2068181b6122b730dbac2b9332b7b48923500169a9ca445ef7248e00
+oid sha256:627546c1a1333b6959f6cdca6917122daa66ba1beef4afca5bc84fc8cdb3a41c
 size 15167588