🍻 cheers

README.md

@@ -2,7 +2,11 @@
 license: apache-2.0
 base_model: google/vit-large-patch32-384
 tags:
+- image-classification
+- vision
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: vit-base-beans
   results: []
@@ -13,7 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-This model is a fine-tuned version of [google/vit-large-patch32-384](https://huggingface.co/google/vit-large-patch32-384) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-large-patch32-384](https://huggingface.co/google/vit-large-patch32-384) on the beans dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0004
+- Accuracy: 1.0
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
     "epoch": 4.0,
     "eval_accuracy": 1.0,
-    "eval_loss": 0.00034369202330708504,
-    "eval_runtime": 3.9237,
-    "eval_samples_per_second": 20.899,
-    "eval_steps_per_second": 2.804,
+    "eval_loss": 0.00037778005935251713,
+    "eval_runtime": 3.7977,
+    "eval_samples_per_second": 21.592,
+    "eval_steps_per_second": 2.896,
     "total_flos": 2.6605778719997952e+17,
-    "train_loss": 0.25595739838622866,
-    "train_runtime": 81.3097,
+    "train_loss": 0.34859154408886317,
+    "train_runtime": 81.3001,
     "train_samples_per_second": 4.034,
     "train_steps_per_second": 1.033
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 4.0,
     "eval_accuracy": 1.0,
-    "eval_loss": 0.00034369202330708504,
-    "eval_runtime": 3.9237,
-    "eval_samples_per_second": 20.899,
-    "eval_steps_per_second": 2.804
+    "eval_loss": 0.00037778005935251713,
+    "eval_runtime": 3.7977,
+    "eval_samples_per_second": 21.592,
+    "eval_steps_per_second": 2.896
 }

runs/Aug30_09-56-17_7e2de4304170/events.out.tfevents.1725011920.7e2de4304170

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3223f2336a7b473257949d73643acc863844a715f6b5a39696320fab4c31f113
+size 40

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 4.0,
     "total_flos": 2.6605778719997952e+17,
-    "train_loss": 0.25595739838622866,
-    "train_runtime": 81.3097,
+    "train_loss": 0.34859154408886317,
+    "train_runtime": 81.3001,
     "train_samples_per_second": 4.034,
     "train_steps_per_second": 1.033
 }

trainer_state.json

@@ -10,66 +10,66 @@
   "log_history": [
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+      "grad_norm": 6.629721164703369,
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+      "loss": 0.1038,
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       "train_samples_per_second": 4.034,
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     }