Training in progress epoch 13

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: 0.3397
-- Validation Loss: 0.6115
-- Validation Mean Iou: 0.3192
-- Validation Mean Accuracy: 0.3868
-- Validation Overall Accuracy: 0.8430
-- Validation Per Category Iou: [0.00000000e+00 7.41164914e-01 8.53475354e-01 4.90058493e-01
- 5.38510608e-01 3.20539250e-01            nan 3.99845020e-01
- 4.92502734e-01 2.05511936e-03 7.89583806e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 5.24630954e-01
- 0.00000000e+00 0.00000000e+00 6.89126355e-01 1.00217065e-01
- 3.82209653e-01 2.80744319e-01 0.00000000e+00            nan
- 0.00000000e+00 3.32851489e-01 1.26552665e-01 0.00000000e+00
- 8.47240409e-01 8.22332088e-01 9.10638012e-01 2.90160652e-05
- 2.21796079e-01 3.46893446e-01 0.00000000e+00]
-- Validation Per Category Accuracy: [0.00000000e+00 8.48318759e-01 9.46569249e-01 6.63363278e-01
- 6.38141209e-01 3.85953320e-01            nan 5.53582721e-01
- 7.04615765e-01 2.21213840e-03 9.22610901e-01 0.00000000e+00
- 0.00000000e+00            nan 0.00000000e+00 6.66079812e-01
- 0.00000000e+00 0.00000000e+00 8.81123024e-01 1.01945058e-01
- 5.26802988e-01 3.23168426e-01 0.00000000e+00            nan
- 0.00000000e+00 3.84975486e-01 1.44025357e-01 0.00000000e+00
- 9.40049850e-01 9.07373703e-01 9.60336520e-01 4.89348514e-05
- 4.45552728e-01 4.32057650e-01 0.00000000e+00]
-- Epoch: 12
+- Train Loss: 0.3241
+- Validation Loss: 0.6287
+- Validation Mean Iou: 0.3273
+- Validation Mean Accuracy: 0.3978
+- Validation Overall Accuracy: 0.8429
+- Validation Per Category Iou: [0.         0.685145   0.85514983 0.51435122 0.58568553 0.33123954
+        nan 0.37904882 0.48699633 0.01165282 0.80640467 0.
+ 0.                nan 0.         0.57752157 0.         0.
+ 0.70991794 0.08028905 0.46064235 0.36005242 0.                nan
+ 0.         0.35412099 0.13762468 0.         0.85041598 0.81527344
+ 0.9123073  0.         0.22657474 0.33418397 0.        ]
+- Validation Per Category Accuracy: [0.         0.76391796 0.9469649  0.63487005 0.75620599 0.46553721
+        nan 0.50872319 0.65626602 0.01264889 0.90580182 0.
+ 0.                nan 0.         0.72616372 0.         0.
+ 0.890303   0.08135797 0.6078355  0.43398998 0.                nan
+ 0.         0.44669122 0.16006339 0.         0.93441314 0.92555522
+ 0.96272416 0.         0.48263053 0.42826041 0.        ]
+- Epoch: 13
 
 ## Model description
 
@@ -224,6 +218,17 @@ The following hyperparameters were used during training:
  0.00000000e+00 3.84975486e-01 1.44025357e-01 0.00000000e+00
  9.40049850e-01 9.07373703e-01 9.60336520e-01 4.89348514e-05
  4.45552728e-01 4.32057650e-01 0.00000000e+00] | 12    |
+| 0.3241     | 0.6287          | 0.3273              | 0.3978                   | 0.8429                      | [0.         0.685145   0.85514983 0.51435122 0.58568553 0.33123954
+        nan 0.37904882 0.48699633 0.01165282 0.80640467 0.
+ 0.                nan 0.         0.57752157 0.         0.
+ 0.70991794 0.08028905 0.46064235 0.36005242 0.                nan
+ 0.         0.35412099 0.13762468 0.         0.85041598 0.81527344
+ 0.9123073  0.         0.22657474 0.33418397 0.        ]                                                                                                                                                                | [0.         0.76391796 0.9469649  0.63487005 0.75620599 0.46553721
+        nan 0.50872319 0.65626602 0.01264889 0.90580182 0.
+ 0.                nan 0.         0.72616372 0.         0.
+ 0.890303   0.08135797 0.6078355  0.43398998 0.                nan
+ 0.         0.44669122 0.16006339 0.         0.93441314 0.92555522
+ 0.96272416 0.         0.48263053 0.42826041 0.        ]                                                                                                                                                                | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:557beb67bfe2ae54872212b19d61fca1983c80e9b557073cb55fb2312bc350c9
+oid sha256:24a77e2861ae3d0b45071ebc21a76e8e3947cf76fa8b6fcb4c74e917b3992dc4
 size 15167588