griffio
/

resnet-18-dungeons-001

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5833333333333334
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5809
-- Accuracy: 0.5833
 ## Model description
@@ -69,14 +69,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.8642        | 6.6667  | 10   | 1.9274          | 0.3333   |
-| 0.914         | 13.3333 | 20   | 1.9344          | 0.3333   |
-| 0.7867        | 20.0    | 30   | 1.8525          | 0.3333   |
-| 0.7229        | 26.6667 | 40   | 1.8132          | 0.4167   |
-| 0.6161        | 33.3333 | 50   | 1.8012          | 0.4167   |
-| 0.5369        | 40.0    | 60   | 1.7578          | 0.4167   |
-| 0.3855        | 46.6667 | 70   | 1.6617          | 0.5      |
-| 0.3339        | 53.3333 | 80   | 1.5809          | 0.5833   |
 ### Framework versions

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.5
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.2994
+- Accuracy: 0.5
 ## Model description
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.2236        | 6.6667  | 10   | 1.5671          | 0.5833   |
+| 0.2873        | 13.3333 | 20   | 1.5972          | 0.5833   |
+| 0.2203        | 20.0    | 30   | 1.4837          | 0.6667   |
+| 0.2063        | 26.6667 | 40   | 1.4543          | 0.6667   |
+| 0.1631        | 33.3333 | 50   | 1.4693          | 0.6667   |
+| 0.1546        | 40.0    | 60   | 1.4474          | 0.5833   |
+| 0.1032        | 46.6667 | 70   | 1.3604          | 0.5833   |
+| 0.1101        | 53.3333 | 80   | 1.2994          | 0.5      |
 ### Framework versions

runs/Nov11_11-43-44_9dbf826d7e63/events.out.tfevents.1731325563.9dbf826d7e63.838.2 CHANGED Viewed

@@ -1,3 +1,3 @@
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 version https://git-lfs.github.com/spec/v1
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