Commit From AutoTrain

.gitattributes

@@ -30,3 +30,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- MommySernox/autotrain-data-furrygendataset
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+co2_eq_emissions:
+  emissions: 2.482027438387914
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1436353679
+- CO2 Emissions (in grams): 2.4820
+
+## Validation Metrics
+
+- Loss: 0.302
+- Accuracy: 0.896
+- Macro F1: 0.895
+- Micro F1: 0.896
+- Weighted F1: 0.897
+- Macro Precision: 0.900
+- Micro Precision: 0.896
+- Weighted Precision: 0.908
+- Macro Recall: 0.900
+- Micro Recall: 0.896
+- Weighted Recall: 0.896

config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94c21e226a378ffa8f7275a9e1d3372cbd85b3c073fe88796cc62e0adc683c18
+size 1111

preprocessor_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63ae741f85ba4dfcb1917ef808968baaad3a395dd8067e970c872d0e6ac05f3b
+size 240

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d7ab9590b23d3baaf973fb68112dfc06545d021f31e62c60b7d75eed6fa6ab7
+size 347616959