Clasificador de enfermedaes de frijolitos

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. -->
 
 # vit-model-jrbeduardo
 
-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 AI-Lab-Makerere/beans dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0366
 - Accuracy: 0.9925

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.036557286977767944,
+    "eval_runtime": 2.1864,
+    "eval_samples_per_second": 60.83,
+    "eval_steps_per_second": 7.775,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.13270469405330143,
+    "train_runtime": 385.2952,
+    "train_samples_per_second": 10.735,
+    "train_steps_per_second": 1.35
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.036557286977767944,
+    "eval_runtime": 2.1864,
+    "eval_samples_per_second": 60.83,
+    "eval_steps_per_second": 7.775
+}

runs/Oct31_17-43-29_3a2b7bcf37c2/events.out.tfevents.1730397161.3a2b7bcf37c2.174.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8df433a53fd37954e2d28156e4efb25b043290a17cc89b1945099d42cfdb33a5
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.13270469405330143,
+    "train_runtime": 385.2952,
+    "train_samples_per_second": 10.735,
+    "train_steps_per_second": 1.35
+}