🍻 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: agent_action_class
       type: imagefolder
       config: default
       split: train
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8019047619047619
+      value: 0.8142857142857143
 ---
 
 <!-- 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_agent
 
-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 agent_action_class dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6758
-- Accuracy: 0.8019
+- Loss: 0.6352
+- Accuracy: 0.8143
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 10.0,
-    "eval_accuracy": 0.7895238095238095,
-    "eval_loss": 0.6309406161308289,
-    "eval_runtime": 13.6501,
-    "eval_samples_per_second": 76.922,
-    "eval_steps_per_second": 9.67,
-    "total_flos": 3.265548125287219e+18,
-    "train_loss": 0.7155859537944672,
-    "train_runtime": 2626.1064,
-    "train_samples_per_second": 38.212,
-    "train_steps_per_second": 1.196
+    "epoch": 20.0,
+    "eval_accuracy": 0.8142857142857143,
+    "eval_loss": 0.6351959109306335,
+    "eval_runtime": 14.2904,
+    "eval_samples_per_second": 73.476,
+    "eval_steps_per_second": 9.237,
+    "total_flos": 1.555375746295849e+19,
+    "train_loss": 0.5583157776647313,
+    "train_runtime": 5878.7322,
+    "train_samples_per_second": 34.14,
+    "train_steps_per_second": 1.068
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "eval_accuracy": 0.7895238095238095,
-    "eval_loss": 0.6309406161308289,
-    "eval_runtime": 13.6501,
-    "eval_samples_per_second": 76.922,
-    "eval_steps_per_second": 9.67
+    "epoch": 20.0,
+    "eval_accuracy": 0.8142857142857143,
+    "eval_loss": 0.6351959109306335,
+    "eval_runtime": 14.2904,
+    "eval_samples_per_second": 73.476,
+    "eval_steps_per_second": 9.237
 }

runs/Apr23_06-49-05_ca94fea6a63f/events.out.tfevents.1713860851.ca94fea6a63f.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:634cd307987c20608f4bf8964083a070c567c0a7b161de68ad15bcedd1963498
+size 411

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "total_flos": 3.265548125287219e+18,
-    "train_loss": 0.7155859537944672,
-    "train_runtime": 2626.1064,
-    "train_samples_per_second": 38.212,
-    "train_steps_per_second": 1.196
+    "epoch": 20.0,
+    "total_flos": 1.555375746295849e+19,
+    "train_loss": 0.5583157776647313,
+    "train_runtime": 5878.7322,
+    "train_samples_per_second": 34.14,
+    "train_steps_per_second": 1.068
 }