End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: google/efficientnet-b0
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # efficientnet-b0-cocoa
 
-This model is a fine-tuned version of [google/efficientnet-b0](https://huggingface.co/google/efficientnet-b0) on an unknown dataset.
+This model is a fine-tuned version of [google/efficientnet-b0](https://huggingface.co/google/efficientnet-b0) on the SemilleroCV/Cocoa-dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3624
-- Accuracy: 0.8809
+- Loss: 0.2657
+- Accuracy: 0.9097
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.9097472924187726,
+    "eval_loss": 0.26566287875175476,
+    "eval_runtime": 0.9695,
+    "eval_samples_per_second": 285.718,
+    "eval_steps_per_second": 36.102,
+    "total_flos": 5.678990728814592e+17,
+    "train_loss": 0.30055975163317455,
+    "train_runtime": 936.3063,
+    "train_samples_per_second": 167.253,
+    "train_steps_per_second": 20.933
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.9097472924187726,
+    "eval_loss": 0.26566287875175476,
+    "eval_runtime": 0.9695,
+    "eval_samples_per_second": 285.718,
+    "eval_steps_per_second": 36.102
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "total_flos": 5.678990728814592e+17,
+    "train_loss": 0.30055975163317455,
+    "train_runtime": 936.3063,
+    "train_samples_per_second": 167.253,
+    "train_steps_per_second": 20.933
+}