philschmid
/

vit-base-patch16-224-in21k-euroSat

Image Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

philschmid commited on Jan 4, 2022

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4756f41

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1 Parent(s): 86ed5db

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@@ -20,7 +20,7 @@ It achieves the following results on the evaluation set:
 - Validation Loss: 0.0440
 - Validation Accuracy: 0.9906
 - Validation Top-3-accuracy: 1.0
-- Epoch: 4
 ## Model description
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
-| 0.4692     | 0.9471         | 0.9878               | 0.1455          | 0.9861              | 0.9998                    | 0     |
-| 0.0998     | 0.9888         | 0.9996               | 0.0821          | 0.9864              | 0.9995                    | 1     |
-| 0.0517     | 0.9939         | 0.9999               | 0.0617          | 0.9871              | 1.0                       | 2     |
-| 0.0309     | 0.9971         | 0.9999               | 0.0524          | 0.9878              | 0.9998                    | 3     |
-| 0.0218     | 0.9990         | 1.0000               | 0.0440          | 0.9906              | 1.0                       | 4     |
 ### Framework versions

 - Validation Loss: 0.0440
 - Validation Accuracy: 0.9906
 - Validation Top-3-accuracy: 1.0
+- Epoch: 5
 ## Model description
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 0.4692     | 0.9471         | 0.9878               | 0.1455          | 0.9861              | 0.9998                    | 1     |
+| 0.0998     | 0.9888         | 0.9996               | 0.0821          | 0.9864              | 0.9995                    | 2     |
+| 0.0517     | 0.9939         | 0.9999               | 0.0617          | 0.9871              | 1.0                       | 3     |
+| 0.0309     | 0.9971         | 0.9999               | 0.0524          | 0.9878              | 0.9998                    | 4     |
+| 0.0218     | 0.9990         | 1.0000               | 0.0440          | 0.9906              | 1.0                       | 5     |
 ### Framework versions