🍻 cheers

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -14,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: action_class
       type: imagefolder
       config: default
       split: train
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7619047619047619
+      value: 0.7723809523809524
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Action_model
 
-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 imagefolder dataset.
+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 action_class dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2147
-- Accuracy: 0.7619
+- Loss: 0.9484
+- Accuracy: 0.7724
 
 ## Model description
 

all_results.json

@@ -1,8 +1,13 @@
 {
     "epoch": 10.0,
-    "total_flos": 7.783078535151575e+18,
-    "train_loss": 0.28272074579623097,
-    "train_runtime": 3631.8012,
-    "train_samples_per_second": 27.631,
-    "train_steps_per_second": 1.729
+    "eval_accuracy": 0.7723809523809524,
+    "eval_loss": 0.9484250545501709,
+    "eval_runtime": 14.3042,
+    "eval_samples_per_second": 73.405,
+    "eval_steps_per_second": 9.228,
+    "total_flos": 7.791758260292837e+18,
+    "train_loss": 0.15229952573586422,
+    "train_runtime": 3498.5508,
+    "train_samples_per_second": 28.683,
+    "train_steps_per_second": 1.795
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.0,
-    "eval_accuracy": 0.7847619047619048,
-    "eval_loss": 0.7120087742805481,
-    "eval_runtime": 16.7402,
-    "eval_samples_per_second": 62.723,
-    "eval_steps_per_second": 7.885
+    "epoch": 10.0,
+    "eval_accuracy": 0.7723809523809524,
+    "eval_loss": 0.9484250545501709,
+    "eval_runtime": 14.3042,
+    "eval_samples_per_second": 73.405,
+    "eval_steps_per_second": 9.228
 }

runs/Apr18_13-48-02_895abc48f543/events.out.tfevents.1713470082.895abc48f543.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ece92a2229219881de40c4ff36b8019e9aff25fa0ead314482f8393803582d87
+size 411

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
-    "total_flos": 7.783078535151575e+18,
-    "train_loss": 0.28272074579623097,
-    "train_runtime": 3631.8012,
-    "train_samples_per_second": 27.631,
-    "train_steps_per_second": 1.729
+    "total_flos": 7.791758260292837e+18,
+    "train_loss": 0.15229952573586422,
+    "train_runtime": 3498.5508,
+    "train_samples_per_second": 28.683,
+    "train_steps_per_second": 1.795
 }