🍻 cheers

README.md

@@ -2,9 +2,12 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-feature-extraction
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: vit-finetune-scrap
   results: []
@@ -15,7 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-finetune-scrap
 
-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 d071696/scraps1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5546
+- Accuracy: 0.9
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 4.0,
-    "eval_accuracy": 0.9333333333333333,
-    "eval_loss": 1.6025978326797485,
-    "eval_runtime": 1.2347,
-    "eval_samples_per_second": 24.298,
-    "eval_steps_per_second": 3.24,
+    "eval_accuracy": 0.9,
+    "eval_loss": 1.5546358823776245,
+    "eval_runtime": 1.2259,
+    "eval_samples_per_second": 24.472,
+    "eval_steps_per_second": 3.263,
     "total_flos": 9299872197181440.0,
-    "train_loss": 2.052894949913025,
-    "train_runtime": 8.394,
-    "train_samples_per_second": 14.296,
-    "train_steps_per_second": 1.906
+    "train_loss": 2.0122132897377014,
+    "train_runtime": 8.5249,
+    "train_samples_per_second": 14.076,
+    "train_steps_per_second": 1.877
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 4.0,
-    "eval_accuracy": 0.9333333333333333,
-    "eval_loss": 1.6025978326797485,
-    "eval_runtime": 1.2347,
-    "eval_samples_per_second": 24.298,
-    "eval_steps_per_second": 3.24
+    "eval_accuracy": 0.9,
+    "eval_loss": 1.5546358823776245,
+    "eval_runtime": 1.2259,
+    "eval_samples_per_second": 24.472,
+    "eval_steps_per_second": 3.263
 }

runs/Mar22_11-09-00_X5C922065N/events.out.tfevents.1711102156.X5C922065N.52576.14

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ee4bf667e845d17e9260b4100c5fe9fc58841deea9e7e2b40383e4bed65b74f
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 4.0,
     "total_flos": 9299872197181440.0,
-    "train_loss": 2.052894949913025,
-    "train_runtime": 8.394,
-    "train_samples_per_second": 14.296,
-    "train_steps_per_second": 1.906
+    "train_loss": 2.0122132897377014,
+    "train_runtime": 8.5249,
+    "train_samples_per_second": 14.076,
+    "train_steps_per_second": 1.877
 }

trainer_state.json

@@ -10,19 +10,19 @@
   "log_history": [
     {
       "epoch": 2.5,
-      "grad_norm": 2.4525492191314697,
+      "grad_norm": 2.5313448905944824,
       "learning_rate": 7.500000000000001e-05,
-      "loss": 2.2452,
+      "loss": 2.2157,
       "step": 10
     },
     {
       "epoch": 4.0,
       "step": 16,
       "total_flos": 9299872197181440.0,
-      "train_loss": 2.052894949913025,
-      "train_runtime": 8.394,
-      "train_samples_per_second": 14.296,
-      "train_steps_per_second": 1.906
+      "train_loss": 2.0122132897377014,
+      "train_runtime": 8.5249,
+      "train_samples_per_second": 14.076,
+      "train_steps_per_second": 1.877
     }
   ],
   "logging_steps": 10,