We did it!

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:
 - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-vit-model-alex-oropeza
 
-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 bean dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0438
 - Accuracy: 0.9925

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.04375087842345238,
+    "eval_runtime": 3.003,
+    "eval_samples_per_second": 44.289,
+    "eval_steps_per_second": 5.661,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.1270999018676006,
+    "train_runtime": 221.5333,
+    "train_samples_per_second": 18.67,
+    "train_steps_per_second": 2.347
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.04375087842345238,
+    "eval_runtime": 3.003,
+    "eval_samples_per_second": 44.289,
+    "eval_steps_per_second": 5.661
+}

runs/Aug09_04-48-14_270af7c54936/events.out.tfevents.1723179274.270af7c54936.270.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fd8663180ff9b10491e0e17dfff1fbb796d2a6986026b369f0de456687c1ee9
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.1270999018676006,
+    "train_runtime": 221.5333,
+    "train_samples_per_second": 18.67,
+    "train_steps_per_second": 2.347
+}