End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: facebook/detr-resnet-50
 tags:
+- object-detection
+- vision
 - generated_from_trainer
 model-index:
 - name: facebook-detr-resnet-50-finetuned-10k-cppe5-with-augs
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/qubvel-hf-co/transformers-detection-model-finetuning-cppe5/runs/u73br2l9)
 # facebook-detr-resnet-50-finetuned-10k-cppe5-with-augs
 
-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 cppe-5 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2371
 - Map: 0.2873

all_results.json

@@ -0,0 +1,34 @@
+{
+    "epoch": 100.0,
+    "test_loss": 0.9473817944526672,
+    "test_map": 0.463,
+    "test_map_50": 0.8064,
+    "test_map_75": 0.4192,
+    "test_map_Coverall": 0.6866,
+    "test_map_Face_Shield": 0.5089,
+    "test_map_Gloves": 0.4098,
+    "test_map_Goggles": 0.276,
+    "test_map_Mask": 0.4336,
+    "test_map_large": 0.6211,
+    "test_map_medium": 0.3227,
+    "test_map_small": 0.3932,
+    "test_mar_1": 0.3282,
+    "test_mar_10": 0.5958,
+    "test_mar_100": 0.599,
+    "test_mar_100_Coverall": 0.7533,
+    "test_mar_100_Face_Shield": 0.7294,
+    "test_mar_100_Gloves": 0.5115,
+    "test_mar_100_Goggles": 0.4969,
+    "test_mar_100_Mask": 0.5038,
+    "test_mar_large": 0.7542,
+    "test_mar_medium": 0.4463,
+    "test_mar_small": 0.4592,
+    "test_runtime": 1.7952,
+    "test_samples_per_second": 16.154,
+    "test_steps_per_second": 2.228,
+    "total_flos": 2.28455679528e+19,
+    "train_loss": 1.1169376587199273,
+    "train_runtime": 5116.4969,
+    "train_samples_per_second": 16.613,
+    "train_steps_per_second": 2.091
+}

test_results.json

@@ -0,0 +1,29 @@
+{
+    "epoch": 100.0,
+    "test_loss": 0.9473817944526672,
+    "test_map": 0.463,
+    "test_map_50": 0.8064,
+    "test_map_75": 0.4192,
+    "test_map_Coverall": 0.6866,
+    "test_map_Face_Shield": 0.5089,
+    "test_map_Gloves": 0.4098,
+    "test_map_Goggles": 0.276,
+    "test_map_Mask": 0.4336,
+    "test_map_large": 0.6211,
+    "test_map_medium": 0.3227,
+    "test_map_small": 0.3932,
+    "test_mar_1": 0.3282,
+    "test_mar_10": 0.5958,
+    "test_mar_100": 0.599,
+    "test_mar_100_Coverall": 0.7533,
+    "test_mar_100_Face_Shield": 0.7294,
+    "test_mar_100_Gloves": 0.5115,
+    "test_mar_100_Goggles": 0.4969,
+    "test_mar_100_Mask": 0.5038,
+    "test_mar_large": 0.7542,
+    "test_mar_medium": 0.4463,
+    "test_mar_small": 0.4592,
+    "test_runtime": 1.7952,
+    "test_samples_per_second": 16.154,
+    "test_steps_per_second": 2.228
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 100.0,
+    "total_flos": 2.28455679528e+19,
+    "train_loss": 1.1169376587199273,
+    "train_runtime": 5116.4969,
+    "train_samples_per_second": 16.613,
+    "train_steps_per_second": 2.091
+}