End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/detr-resnet-50
 tags:
+- object-detection
+- vision
 - generated_from_trainer
 model-index:
 - name: detr-finetuned-cppe-5-10k-steps
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # detr-finetuned-cppe-5-10k-steps
 
-This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the danelcsb/cppe-5-v2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9579
 - Map: 0.3769

all_results.json

@@ -0,0 +1,34 @@
+{
+    "epoch": 100.0,
+    "test_loss": 0.9763090014457703,
+    "test_map": 0.4467,
+    "test_map_50": 0.7623,
+    "test_map_75": 0.4803,
+    "test_map_Coverall": 0.5342,
+    "test_map_Face_Shield": 0.5993,
+    "test_map_Gloves": 0.4223,
+    "test_map_Goggles": 0.2638,
+    "test_map_Mask": 0.414,
+    "test_map_large": 0.5932,
+    "test_map_medium": 0.3528,
+    "test_map_small": 0.2426,
+    "test_mar_1": 0.3298,
+    "test_mar_10": 0.5888,
+    "test_mar_100": 0.5979,
+    "test_mar_100_Coverall": 0.7436,
+    "test_mar_100_Face_Shield": 0.7882,
+    "test_mar_100_Gloves": 0.5085,
+    "test_mar_100_Goggles": 0.4414,
+    "test_mar_100_Mask": 0.5078,
+    "test_mar_large": 0.7435,
+    "test_mar_medium": 0.4488,
+    "test_mar_small": 0.3181,
+    "test_runtime": 3.2862,
+    "test_samples_per_second": 8.825,
+    "test_steps_per_second": 1.217,
+    "total_flos": 2.1743605263312036e+19,
+    "train_loss": 1.0957362268485276,
+    "train_runtime": 10120.4933,
+    "train_samples_per_second": 7.994,
+    "train_steps_per_second": 1.008
+}

runs/Jan10_06-39-03_f539220eb418/events.out.tfevents.1736501311.f539220eb418.4346.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:512a46371484bd6b0578815901419cc9c3246e73639f02d19a1535b3ef8c71c5
+size 1548

test_results.json

@@ -0,0 +1,29 @@
+{
+    "epoch": 100.0,
+    "test_loss": 0.9763090014457703,
+    "test_map": 0.4467,
+    "test_map_50": 0.7623,
+    "test_map_75": 0.4803,
+    "test_map_Coverall": 0.5342,
+    "test_map_Face_Shield": 0.5993,
+    "test_map_Gloves": 0.4223,
+    "test_map_Goggles": 0.2638,
+    "test_map_Mask": 0.414,
+    "test_map_large": 0.5932,
+    "test_map_medium": 0.3528,
+    "test_map_small": 0.2426,
+    "test_mar_1": 0.3298,
+    "test_mar_10": 0.5888,
+    "test_mar_100": 0.5979,
+    "test_mar_100_Coverall": 0.7436,
+    "test_mar_100_Face_Shield": 0.7882,
+    "test_mar_100_Gloves": 0.5085,
+    "test_mar_100_Goggles": 0.4414,
+    "test_mar_100_Mask": 0.5078,
+    "test_mar_large": 0.7435,
+    "test_mar_medium": 0.4488,
+    "test_mar_small": 0.3181,
+    "test_runtime": 3.2862,
+    "test_samples_per_second": 8.825,
+    "test_steps_per_second": 1.217
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "total_flos": 2.1743605263312036e+19,
+    "train_loss": 1.0957362268485276,
+    "train_runtime": 10120.4933,
+    "train_samples_per_second": 7.994,
+    "train_steps_per_second": 1.008
+}