End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: google/vit-large-patch16-224-in21k
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -14,7 +16,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: touchtech/fashion-images-gender-age
       type: imagefolder
       config: default
       split: train
@@ -22,7 +24,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9948096885813149
+      value: 0.9959630911188004
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fashion-images-gender-age-vit-large-patch16-224-in21k-v3
 
-This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-gender-age dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0273
-- Accuracy: 0.9948
+- Loss: 0.0223
+- Accuracy: 0.9960
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
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+}

eval_results.json

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+{
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+}

train_results.json

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+}

trainer_state.json

@@ -0,0 +1,217 @@
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