Lo logramos

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. -->
 
 # vit_model
 
-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: 0.0388
 - Accuracy: 0.9925

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.038774531334638596,
+    "eval_runtime": 2.4995,
+    "eval_samples_per_second": 53.21,
+    "eval_steps_per_second": 6.801,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.12724698078460417,
+    "train_runtime": 192.7927,
+    "train_samples_per_second": 21.453,
+    "train_steps_per_second": 2.697
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.038774531334638596,
+    "eval_runtime": 2.4995,
+    "eval_samples_per_second": 53.21,
+    "eval_steps_per_second": 6.801
+}

runs/Apr29_00-46-58_f6204f80b109/events.out.tfevents.1714351839.f6204f80b109.655.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bfa6e03e2fd385d9eb382c6bcff66084f45e555371f367e3ea0d0c6cfe523db
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.12724698078460417,
+    "train_runtime": 192.7927,
+    "train_samples_per_second": 21.453,
+    "train_steps_per_second": 2.697
+}