Clasificador de enfermedaes de frijolitos v2

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-v2
 
-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: 0.0727
 - Accuracy: 0.9850

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9849624060150376,
+    "eval_loss": 0.07273109257221222,
+    "eval_runtime": 2.2074,
+    "eval_samples_per_second": 60.253,
+    "eval_steps_per_second": 7.702,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.14536463351776965,
+    "train_runtime": 238.7803,
+    "train_samples_per_second": 17.321,
+    "train_steps_per_second": 2.178
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9849624060150376,
+    "eval_loss": 0.07273109257221222,
+    "eval_runtime": 2.2074,
+    "eval_samples_per_second": 60.253,
+    "eval_steps_per_second": 7.702
+}

runs/Oct31_23-43-17_18b84efbb24e/events.out.tfevents.1730418586.18b84efbb24e.661.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6227fb802354b8b96682a9943fb76c920244844bac47e1d950dd48c999d7494b
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.205097416476426e+17,
+    "train_loss": 0.14536463351776965,
+    "train_runtime": 238.7803,
+    "train_samples_per_second": 17.321,
+    "train_steps_per_second": 2.178
+}