End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: microsoft/resnet-50
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.986544211875267
+      value: 0.9653994019649722
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cat-vs-dog
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cats_vs_dogs dataset.
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the cats_vs_dogs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0368
-- Accuracy: 0.9865
+- Loss: 0.1015
+- Accuracy: 0.9654
 
 ## Model description
 
@@ -64,7 +64,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.047         | 1.0   | 1171 | 0.0433          | 0.9859   |
+| 0.1574        | 1.0   | 1171 | 0.1065          | 0.9624   |
 
 
 ### Framework versions

runs/Feb23_10-48-12_49e4c2c8e75d/events.out.tfevents.1708685636.49e4c2c8e75d.1841.3

@@ -0,0 +1,3 @@
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+size 411