🍻 cheers

README.md

@@ -1,13 +1,31 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: d071696/vit-base-scraps
 tags:
+- image-classification
+- image-feature-extraction
+- image-to-text
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: vit-finetune-scrap
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: d071696/scraps1
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +33,10 @@ 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 [d071696/vit-base-scraps](https://huggingface.co/d071696/vit-base-scraps) on the d071696/scraps1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9240
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -1,8 +1,13 @@
 {
     "epoch": 4.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 1.9239758253097534,
+    "eval_runtime": 1.3618,
+    "eval_samples_per_second": 22.029,
+    "eval_steps_per_second": 2.937,
     "total_flos": 9299872197181440.0,
-    "train_loss": 2.19787335395813,
-    "train_runtime": 9.6458,
-    "train_samples_per_second": 12.441,
-    "train_steps_per_second": 1.659
+    "train_loss": 2.1698924899101257,
+    "train_runtime": 8.7843,
+    "train_samples_per_second": 13.661,
+    "train_steps_per_second": 1.821
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 1.0,
+    "eval_loss": 1.9239758253097534,
+    "eval_runtime": 1.3618,
+    "eval_samples_per_second": 22.029,
+    "eval_steps_per_second": 2.937
+}

runs/Mar21_23-39-14_X5C922065N/events.out.tfevents.1711060897.X5C922065N.86888.16

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ee760cf5dd94a7bc84d72931e9a7bb959d001a7f2d60e189325c1ea2aaab3f3
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 4.0,
     "total_flos": 9299872197181440.0,
-    "train_loss": 2.19787335395813,
-    "train_runtime": 9.6458,
-    "train_samples_per_second": 12.441,
-    "train_steps_per_second": 1.659
+    "train_loss": 2.1698924899101257,
+    "train_runtime": 8.7843,
+    "train_samples_per_second": 13.661,
+    "train_steps_per_second": 1.821
 }

trainer_state.json

@@ -10,19 +10,19 @@
   "log_history": [
     {
       "epoch": 2.5,
-      "grad_norm": 2.5156421661376953,
+      "grad_norm": 2.7402358055114746,
       "learning_rate": 1.8750000000000002e-05,
-      "loss": 2.3138,
+      "loss": 2.28,
       "step": 10
     },
     {
       "epoch": 4.0,
       "step": 16,
       "total_flos": 9299872197181440.0,
-      "train_loss": 2.19787335395813,
-      "train_runtime": 9.6458,
-      "train_samples_per_second": 12.441,
-      "train_steps_per_second": 1.659
+      "train_loss": 2.1698924899101257,
+      "train_runtime": 8.7843,
+      "train_samples_per_second": 13.661,
+      "train_steps_per_second": 1.821
     }
   ],
   "logging_steps": 10,