End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: other
 base_model: google/mobilenet_v2_1.0_224
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilenetv2-cocoa
 
-This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset.
+This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the SemilleroCV/Cocoa-dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6160
-- Accuracy: 0.8881
+- Loss: 0.3226
+- Accuracy: 0.8953
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.8953068592057761,
+    "eval_loss": 0.32263943552970886,
+    "eval_runtime": 1.0785,
+    "eval_samples_per_second": 256.834,
+    "eval_steps_per_second": 32.452,
+    "total_flos": 4.122421290860544e+17,
+    "train_loss": 0.30076538943894665,
+    "train_runtime": 888.1447,
+    "train_samples_per_second": 176.323,
+    "train_steps_per_second": 22.068
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "eval_accuracy": 0.8953068592057761,
+    "eval_loss": 0.32263943552970886,
+    "eval_runtime": 1.0785,
+    "eval_samples_per_second": 256.834,
+    "eval_steps_per_second": 32.452
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "total_flos": 4.122421290860544e+17,
+    "train_loss": 0.30076538943894665,
+    "train_runtime": 888.1447,
+    "train_samples_per_second": 176.323,
+    "train_steps_per_second": 22.068
+}