greathero
/

mit-b0-finetuned-contrails-morethanx35newercontrailsdataset

Transformers

TensorFlow

segformer

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

greathero commited on Dec 31, 2023

Commit

e115417

1 Parent(s): 84f9327

Training in progress epoch 1

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README.md +4 -3
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,8 +15,8 @@ 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: 0.2395
-- Validation Loss: 0.0367
 - Validation Mean Iou: 0.2496
 - Validation Mean Accuracy: 0.25
 - Validation Overall Accuracy: 0.9983
@@ -28,7 +28,7 @@ It achieves the following results on the evaluation set:
 - Validation Iou Notlabeled: 0.9983
 - Validation Iou Otherclass: 0.0
 - Validation Iou Contrail: 0.0
-- Epoch: 0
 ## Model description
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Notlabeled | Validation Accuracy Otherclass | Validation Accuracy Contrail | Validation Iou Unlabeled | Validation Iou Notlabeled | Validation Iou Otherclass | Validation Iou Contrail | Epoch |
 |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:-----:|
 | 0.2395     | 0.0367          | 0.2496              | 0.25                     | 0.9983                      | 0.0                           | 1.0                            | 0.0                            | 0.0                          | 0.0                      | 0.9983                    | 0.0                       | 0.0                     | 0     |
 ### Framework versions

 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: 0.0286
+- Validation Loss: 0.0204
 - Validation Mean Iou: 0.2496
 - Validation Mean Accuracy: 0.25
 - Validation Overall Accuracy: 0.9983
 - Validation Iou Notlabeled: 0.9983
 - Validation Iou Otherclass: 0.0
 - Validation Iou Contrail: 0.0
+- Epoch: 1
 ## Model description
 | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Notlabeled | Validation Accuracy Otherclass | Validation Accuracy Contrail | Validation Iou Unlabeled | Validation Iou Notlabeled | Validation Iou Otherclass | Validation Iou Contrail | Epoch |
 |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:-----:|
 | 0.2395     | 0.0367          | 0.2496              | 0.25                     | 0.9983                      | 0.0                           | 1.0                            | 0.0                            | 0.0                          | 0.0                      | 0.9983                    | 0.0                       | 0.0                     | 0     |
+| 0.0286     | 0.0204          | 0.2496              | 0.25                     | 0.9983                      | 0.0                           | 1.0                            | 0.0                            | 0.0                          | 0.0                      | 0.9983                    | 0.0                       | 0.0                     | 1     |
 ### Framework versions

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