This is my trial Platzi! 🤗

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # platzi-vit-model-Yomin-Jaramillo
 
-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 beans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0303
 - Accuracy: 0.9925

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.030311042442917824,
+    "eval_runtime": 2.4528,
+    "eval_samples_per_second": 54.223,
+    "eval_steps_per_second": 6.931,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.13724073191674857,
+    "train_runtime": 277.9556,
+    "train_samples_per_second": 14.88,
+    "train_steps_per_second": 1.871
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.030311042442917824,
+    "eval_runtime": 2.4528,
+    "eval_samples_per_second": 54.223,
+    "eval_steps_per_second": 6.931
+}

runs/Dec13_01-36-51_e3cff10b04d4/events.out.tfevents.1734054178.e3cff10b04d4.1236.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3185709f4af7e4b8279436700d281235521a40ef6637c2c3978a1d14cc44e5ba
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.13724073191674857,
+    "train_runtime": 277.9556,
+    "train_samples_per_second": 14.88,
+    "train_steps_per_second": 1.871
+}