🍻 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
 metrics:
 - f1
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # all-observation-type
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown 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 all-multi-class dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0143
-- F1: 0.2910
+- Loss: 0.0073
+- F1: 0.1819
 
 ## Model description
 

all_results.json

@@ -1,8 +1,13 @@
 {
     "epoch": 40.0,
+    "eval_f1": 0.18192665571975916,
+    "eval_loss": 0.007334939204156399,
+    "eval_runtime": 4.2088,
+    "eval_samples_per_second": 34.452,
+    "eval_steps_per_second": 4.514,
     "total_flos": 8.58517804989186e+18,
-    "train_loss": 0.0018945207089970165,
-    "train_runtime": 3857.5132,
-    "train_samples_per_second": 28.495,
-    "train_steps_per_second": 1.784
+    "train_loss": 0.0008123670003886556,
+    "train_runtime": 3936.5073,
+    "train_samples_per_second": 27.923,
+    "train_steps_per_second": 1.748
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 40.0,
+    "eval_f1": 0.18192665571975916,
+    "eval_loss": 0.007334939204156399,
+    "eval_runtime": 4.2088,
+    "eval_samples_per_second": 34.452,
+    "eval_steps_per_second": 4.514
+}

runs/May15_01-54-58_ab91efe686de/events.out.tfevents.1715751438.ab91efe686de.94836.22

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71c1204611c57442075ac0231968dfc53e42345c7dca09291f533d7c1bcdec05
+size 405

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 40.0,
     "total_flos": 8.58517804989186e+18,
-    "train_loss": 0.0018945207089970165,
-    "train_runtime": 3857.5132,
-    "train_samples_per_second": 28.495,
-    "train_steps_per_second": 1.784
+    "train_loss": 0.0008123670003886556,
+    "train_runtime": 3936.5073,
+    "train_samples_per_second": 27.923,
+    "train_steps_per_second": 1.748
 }