update model card README.md

README.md

@@ -1,14 +1,27 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: my_first_model
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # my_first_model
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6859
+- Accuracy: 0.8
 
 ## Model description
 
@@ -45,6 +61,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7142        | 1.0   | 23   | 0.6892          | 0.4      |
+| 0.6938        | 2.0   | 46   | 0.7027          | 0.4      |
+| 0.6823        | 3.0   | 69   | 0.6859          | 0.8      |
 
 
 ### Framework versions