Training in progress epoch 40
Browse files- README.md +29 -18
- tf_model.h5 +1 -1
README.md
CHANGED
@@ -14,24 +14,24 @@ probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Train Loss: 0.
|
18 |
-
- Validation Loss: 0.
|
19 |
-
- Validation Mean Iou: 0.
|
20 |
-
- Validation Mean Accuracy: 0.
|
21 |
-
- Validation Overall Accuracy: 0.
|
22 |
-
- Validation Per Category Iou: [0. 0.
|
23 |
-
nan 0.
|
24 |
-
0. 0.
|
25 |
-
0.
|
26 |
-
0.
|
27 |
-
0.
|
28 |
-
- Validation Per Category Accuracy: [0. 0.
|
29 |
-
nan 0.
|
30 |
-
0. 0.
|
31 |
-
0.
|
32 |
-
0.
|
33 |
-
0.
|
34 |
-
- Epoch:
|
35 |
|
36 |
## Model description
|
37 |
|
@@ -563,6 +563,17 @@ The following hyperparameters were used during training:
|
|
563 |
0.86912221 0.01029375 0.54801488 0.73707468 0.06340058 nan
|
564 |
0.02149592 0.43258561 0.31736381 0. 0.94644158 0.84006614
|
565 |
0.97630627 0.4108325 0.04714226 0.34773038 0. ] | 39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
566 |
|
567 |
|
568 |
### Framework versions
|
|
|
14 |
|
15 |
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
+
- Train Loss: 0.1750
|
18 |
+
- Validation Loss: 0.4506
|
19 |
+
- Validation Mean Iou: 0.3588
|
20 |
+
- Validation Mean Accuracy: 0.4247
|
21 |
+
- Validation Overall Accuracy: 0.8777
|
22 |
+
- Validation Per Category Iou: [0. 0.8085732 0.87850952 0.80281118 0.80588458 0.43532471
|
23 |
+
nan 0.49235495 0.56953178 0.04144004 0.86063777 0.1253508
|
24 |
+
0. 0.29125623 0. 0.56867524 0. 0.
|
25 |
+
0.72796854 0.03398534 0.34825502 0.58349517 0.04278075 nan
|
26 |
+
0.02356575 0.3145996 0.25091045 0. 0.86821676 0.7616297
|
27 |
+
0.94167999 0.0760155 0.01097801 0.17674597 0. ]
|
28 |
+
- Validation Per Category Accuracy: [0. 0.8587409 0.96059527 0.84914689 0.95691624 0.49065318
|
29 |
+
nan 0.64206647 0.80599476 0.04330176 0.94759276 0.13288378
|
30 |
+
0. 0.49401815 0. 0.68717916 0. 0.
|
31 |
+
0.83929688 0.03427065 0.62310627 0.69531488 0.04610951 nan
|
32 |
+
0.02716663 0.42729112 0.28005142 0. 0.94607512 0.87723316
|
33 |
+
0.97355068 0.11214495 0.02653317 0.23750462 0. ]
|
34 |
+
- Epoch: 40
|
35 |
|
36 |
## Model description
|
37 |
|
|
|
563 |
0.86912221 0.01029375 0.54801488 0.73707468 0.06340058 nan
|
564 |
0.02149592 0.43258561 0.31736381 0. 0.94644158 0.84006614
|
565 |
0.97630627 0.4108325 0.04714226 0.34773038 0. ] | 39 |
|
566 |
+
| 0.1750 | 0.4506 | 0.3588 | 0.4247 | 0.8777 | [0. 0.8085732 0.87850952 0.80281118 0.80588458 0.43532471
|
567 |
+
nan 0.49235495 0.56953178 0.04144004 0.86063777 0.1253508
|
568 |
+
0. 0.29125623 0. 0.56867524 0. 0.
|
569 |
+
0.72796854 0.03398534 0.34825502 0.58349517 0.04278075 nan
|
570 |
+
0.02356575 0.3145996 0.25091045 0. 0.86821676 0.7616297
|
571 |
+
0.94167999 0.0760155 0.01097801 0.17674597 0. ] | [0. 0.8587409 0.96059527 0.84914689 0.95691624 0.49065318
|
572 |
+
nan 0.64206647 0.80599476 0.04330176 0.94759276 0.13288378
|
573 |
+
0. 0.49401815 0. 0.68717916 0. 0.
|
574 |
+
0.83929688 0.03427065 0.62310627 0.69531488 0.04610951 nan
|
575 |
+
0.02716663 0.42729112 0.28005142 0. 0.94607512 0.87723316
|
576 |
+
0.97355068 0.11214495 0.02653317 0.23750462 0. ] | 40 |
|
577 |
|
578 |
|
579 |
### Framework versions
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 15167588
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ace38a79d81954f8c5397e82a777919145a4b3c07091baef322d32f0eedfc1b
|
3 |
size 15167588
|