jerryteps
/

resnet-18

Image Classification

Generated from Trainer

Eval Results (legacy)

Model card Files Files and versions

Metrics Training metrics Community

jerryteps commited on Nov 8, 2023

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7fdc1be

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1 Parent(s): 2730b14

update model card README.md

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@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6425188074672611
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model was trained from scratch on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9403
-- Accuracy: 0.6425
 ## Model description
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.4726        | 1.0   | 252  | 1.3072          | 0.5068   |
-| 1.2683        | 2.0   | 505  | 1.0996          | 0.5865   |
-| 1.2177        | 3.0   | 757  | 1.0444          | 0.6096   |
-| 1.1636        | 4.0   | 1010 | 1.0185          | 0.6096   |
-| 1.1372        | 5.0   | 1262 | 0.9945          | 0.6205   |
-| 1.113         | 6.0   | 1515 | 0.9703          | 0.6342   |
-| 1.0734        | 7.0   | 1767 | 0.9574          | 0.6333   |
-| 1.0501        | 8.0   | 2020 | 0.9503          | 0.6375   |
-| 1.0361        | 9.0   | 2272 | 0.9488          | 0.6389   |
-| 1.0302        | 9.98  | 2520 | 0.9403          | 0.6425   |
 ### Framework versions

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.647255502925606
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model was trained from scratch on the imagefolder dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.9476
+- Accuracy: 0.6473
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.472         | 1.0   | 252  | 1.3291          | 0.4887   |
+| 1.2941        | 2.0   | 505  | 1.1145          | 0.5793   |
+| 1.2117        | 3.0   | 757  | 1.0483          | 0.6043   |
+| 1.1616        | 4.0   | 1010 | 1.0137          | 0.6233   |
+| 1.1654        | 5.0   | 1262 | 0.9975          | 0.6291   |
+| 1.1297        | 6.0   | 1515 | 0.9766          | 0.6414   |
+| 1.0645        | 7.0   | 1767 | 0.9668          | 0.6372   |
+| 1.0692        | 8.0   | 2020 | 0.9603          | 0.6450   |
+| 1.0711        | 9.0   | 2272 | 0.9521          | 0.6425   |
+| 1.0344        | 9.98  | 2520 | 0.9476          | 0.6473   |
 ### Framework versions