End of training

README.md

@@ -17,12 +17,12 @@ should 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 the scene_parse_150 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.6391
-- Mean Iou: 0.0583
-- Mean Accuracy: 0.1172
-- Overall Accuracy: 0.4492
-- Per Category Iou: [0.44041294308583534, nan, nan, 0.6666970930892689, nan, 0.33468836772838806, nan, nan, 0.010483214113553378, nan, 0.09776380089668009, nan, nan, nan, 0.27788378028383004, 0.0, nan, 0.0, 0.0003410360439818898, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.10667274078691827, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.07423709941194892, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.02291795825583798, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.12350896966281581, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan]
-- Per Category Accuracy: [0.6424969817484554, nan, nan, 0.8805785816574676, nan, 0.46181318389743264, nan, nan, 0.01073188993573345, nan, 0.10568203217142234, nan, nan, nan, 0.6834847599119304, 0.0, nan, nan, 0.00041847041847041847, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.23207169236547248, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.551230945262614, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.03717359970502464, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.1452108041255328, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan]
+- Loss: 4.9476
+- Mean Iou: 0.0059
+- Mean Accuracy: 0.0467
+- Overall Accuracy: 0.0792
+- Per Category Iou: [0.015290646787191019, 0.0, 0.0, 0.29707155265364804, 0.0, 0.08276914236227738, 0.0, 0.0, 0.0, 0.0, 0.012636310927907107, 0.0, 0.0, 0.0, 0.08227787105184403, 0.0, 0.0, 0.0, 0.02964898714815463, 0.0, 0.0, nan, 0.001510992695378508, nan, 0.0, 0.0, 0.0, 0.0008937418640346616, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0006580782683957911, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.15182749560810285, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 4.8507583352197394e-05, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.09386101051905502, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+- Per Category Accuracy: [0.015300257646825658, nan, nan, 0.3063194873378629, nan, 0.4663087217719412, nan, nan, 0.0, nan, 0.015581846316572973, nan, nan, nan, 0.09177343204121063, 0.0, nan, nan, 0.040619224731872905, 0.0, nan, nan, 0.00745248489659126, nan, 0.0, nan, nan, 0.0011775849269129355, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0006601654719106768, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.1750304681339164, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 5.521201413427562e-05, nan, nan, nan, nan, nan, nan, 0.18748493024857915, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan]
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
-| 3.747         | 1.0   | 20   | 3.6391          | 0.0583   | 0.1172        | 0.4492           | [0.44041294308583534, nan, nan, 0.6666970930892689, nan, 0.33468836772838806, nan, nan, 0.010483214113553378, nan, 0.09776380089668009, nan, nan, nan, 0.27788378028383004, 0.0, nan, 0.0, 0.0003410360439818898, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.10667274078691827, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.07423709941194892, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.02291795825583798, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.12350896966281581, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan] | [0.6424969817484554, nan, nan, 0.8805785816574676, nan, 0.46181318389743264, nan, nan, 0.01073188993573345, nan, 0.10568203217142234, nan, nan, nan, 0.6834847599119304, 0.0, nan, nan, 0.00041847041847041847, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.23207169236547248, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.551230945262614, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.03717359970502464, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.1452108041255328, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan] |
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
+| 4.8424        | 1.0   | 20   | 4.9476          | 0.0059   | 0.0467        | 0.0792           | [0.015290646787191019, 0.0, 0.0, 0.29707155265364804, 0.0, 0.08276914236227738, 0.0, 0.0, 0.0, 0.0, 0.012636310927907107, 0.0, 0.0, 0.0, 0.08227787105184403, 0.0, 0.0, 0.0, 0.02964898714815463, 0.0, 0.0, nan, 0.001510992695378508, nan, 0.0, 0.0, 0.0, 0.0008937418640346616, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0006580782683957911, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.15182749560810285, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, nan, nan, 0.0, 4.8507583352197394e-05, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.09386101051905502, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] | [0.015300257646825658, nan, nan, 0.3063194873378629, nan, 0.4663087217719412, nan, nan, 0.0, nan, 0.015581846316572973, nan, nan, nan, 0.09177343204121063, 0.0, nan, nan, 0.040619224731872905, 0.0, nan, nan, 0.00745248489659126, nan, 0.0, nan, nan, 0.0011775849269129355, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0006601654719106768, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.1750304681339164, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 5.521201413427562e-05, nan, nan, nan, nan, nan, nan, 0.18748493024857915, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, 0.0, nan, nan] |
 
 
 ### Framework versions