🍻 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: 0.8506151142355008
+      value: 0.8541300527240774
 ---
 
 <!-- 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: 0.5271
-- Accuracy: 0.8506
+- Loss: 0.4922
+- Accuracy: 0.8541
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "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,
-    "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_accuracy": 0.8541300527240774,
+    "eval_loss": 0.49219682812690735,
+    "eval_runtime": 8.6475,
+    "eval_samples_per_second": 65.799,
+    "eval_steps_per_second": 8.326,
+    "total_flos": 3.3230947683690086e+18,
+    "train_loss": 0.45721185349706395,
+    "train_runtime": 1410.6493,
+    "train_samples_per_second": 30.397,
+    "train_steps_per_second": 1.9
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "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
+    "eval_accuracy": 0.8541300527240774,
+    "eval_loss": 0.49219682812690735,
+    "eval_runtime": 8.6475,
+    "eval_samples_per_second": 65.799,
+    "eval_steps_per_second": 8.326
 }

runs/May01_07-50-39_5c48e9aaec37/events.out.tfevents.1714570909.5c48e9aaec37.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5086c5bb376d9668c726113f180f0feed6f90788d8006c72324b35cb6aeb1290
+size 411

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
-    "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
+    "total_flos": 3.3230947683690086e+18,
+    "train_loss": 0.45721185349706395,
+    "train_runtime": 1410.6493,
+    "train_samples_per_second": 30.397,
+    "train_steps_per_second": 1.9
 }