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-auto-pad
@@ -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/lty2ykst)
 # facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
 
-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: 1.3664
 - Map: 0.2799
@@ -59,7 +61,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 8
-- eval_batch_size: 8
+- eval_batch_size: 1
 - seed: 1337
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear

all_results.json

@@ -26,35 +26,35 @@
     "eval_runtime": 5.9225,
     "eval_samples_per_second": 25.327,
     "eval_steps_per_second": 3.208,
-    "test_loss": 1.2338895797729492,
-    "test_map": 0.3953,
-    "test_map_50": 0.7479,
-    "test_map_75": 0.3573,
-    "test_map_Coverall": 0.6538,
-    "test_map_Face_Shield": 0.4816,
-    "test_map_Gloves": 0.2747,
-    "test_map_Goggles": 0.2368,
-    "test_map_Mask": 0.3298,
-    "test_map_large": 0.6567,
-    "test_map_medium": 0.2724,
-    "test_map_small": 0.3566,
-    "test_mar_1": 0.3197,
-    "test_mar_10": 0.5407,
-    "test_mar_100": 0.5559,
-    "test_mar_100_Coverall": 0.7556,
-    "test_mar_100_Face_Shield": 0.7,
-    "test_mar_100_Gloves": 0.4459,
-    "test_mar_100_Goggles": 0.4375,
-    "test_mar_100_Mask": 0.4404,
-    "test_mar_large": 0.793,
-    "test_mar_medium": 0.388,
-    "test_mar_small": 0.4374,
-    "test_runtime": 1.9935,
-    "test_samples_per_second": 14.547,
-    "test_steps_per_second": 2.007,
+    "test_loss": 1.2086668014526367,
+    "test_map": 0.3512,
+    "test_map_50": 0.6737,
+    "test_map_75": 0.3108,
+    "test_map_Coverall": 0.6153,
+    "test_map_Face_Shield": 0.3963,
+    "test_map_Gloves": 0.2755,
+    "test_map_Goggles": 0.1516,
+    "test_map_Mask": 0.3171,
+    "test_map_large": 0.6335,
+    "test_map_medium": 0.217,
+    "test_map_small": 0.2603,
+    "test_mar_1": 0.2862,
+    "test_mar_10": 0.5085,
+    "test_mar_100": 0.5257,
+    "test_mar_100_Coverall": 0.74,
+    "test_mar_100_Face_Shield": 0.6235,
+    "test_mar_100_Gloves": 0.4344,
+    "test_mar_100_Goggles": 0.4,
+    "test_mar_100_Mask": 0.4308,
+    "test_mar_large": 0.7634,
+    "test_mar_medium": 0.3513,
+    "test_mar_small": 0.3951,
+    "test_runtime": 3.6358,
+    "test_samples_per_second": 7.976,
+    "test_steps_per_second": 7.976,
     "total_flos": 2.2505492746344178e+19,
-    "train_loss": 1.1716438714143271,
-    "train_runtime": 4951.8709,
-    "train_samples_per_second": 17.165,
-    "train_steps_per_second": 2.161
+    "train_loss": 0.0,
+    "train_runtime": 3.2766,
+    "train_samples_per_second": 25941.577,
+    "train_steps_per_second": 3265.587
 }

test_results.json

@@ -1,29 +1,29 @@
 {
     "epoch": 100.0,
-    "test_loss": 1.2338895797729492,
-    "test_map": 0.3953,
-    "test_map_50": 0.7479,
-    "test_map_75": 0.3573,
-    "test_map_Coverall": 0.6538,
-    "test_map_Face_Shield": 0.4816,
-    "test_map_Gloves": 0.2747,
-    "test_map_Goggles": 0.2368,
-    "test_map_Mask": 0.3298,
-    "test_map_large": 0.6567,
-    "test_map_medium": 0.2724,
-    "test_map_small": 0.3566,
-    "test_mar_1": 0.3197,
-    "test_mar_10": 0.5407,
-    "test_mar_100": 0.5559,
-    "test_mar_100_Coverall": 0.7556,
-    "test_mar_100_Face_Shield": 0.7,
-    "test_mar_100_Gloves": 0.4459,
-    "test_mar_100_Goggles": 0.4375,
-    "test_mar_100_Mask": 0.4404,
-    "test_mar_large": 0.793,
-    "test_mar_medium": 0.388,
-    "test_mar_small": 0.4374,
-    "test_runtime": 1.9935,
-    "test_samples_per_second": 14.547,
-    "test_steps_per_second": 2.007
+    "test_loss": 1.2086668014526367,
+    "test_map": 0.3512,
+    "test_map_50": 0.6737,
+    "test_map_75": 0.3108,
+    "test_map_Coverall": 0.6153,
+    "test_map_Face_Shield": 0.3963,
+    "test_map_Gloves": 0.2755,
+    "test_map_Goggles": 0.1516,
+    "test_map_Mask": 0.3171,
+    "test_map_large": 0.6335,
+    "test_map_medium": 0.217,
+    "test_map_small": 0.2603,
+    "test_mar_1": 0.2862,
+    "test_mar_10": 0.5085,
+    "test_mar_100": 0.5257,
+    "test_mar_100_Coverall": 0.74,
+    "test_mar_100_Face_Shield": 0.6235,
+    "test_mar_100_Gloves": 0.4344,
+    "test_mar_100_Goggles": 0.4,
+    "test_mar_100_Mask": 0.4308,
+    "test_mar_large": 0.7634,
+    "test_mar_medium": 0.3513,
+    "test_mar_small": 0.3951,
+    "test_runtime": 3.6358,
+    "test_samples_per_second": 7.976,
+    "test_steps_per_second": 7.976
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 100.0,
     "total_flos": 2.2505492746344178e+19,
-    "train_loss": 1.1716438714143271,
-    "train_runtime": 4951.8709,
-    "train_samples_per_second": 17.165,
-    "train_steps_per_second": 2.161
+    "train_loss": 0.0,
+    "train_runtime": 3.2766,
+    "train_samples_per_second": 25941.577,
+    "train_steps_per_second": 3265.587
 }

trainer_state.json

@@ -3712,10 +3712,10 @@
       "epoch": 100.0,
       "step": 10700,
       "total_flos": 2.2505492746344178e+19,
-      "train_loss": 1.1716438714143271,
-      "train_runtime": 4951.8709,
-      "train_samples_per_second": 17.165,
-      "train_steps_per_second": 2.161
+      "train_loss": 0.0,
+      "train_runtime": 3.2766,
+      "train_samples_per_second": 25941.577,
+      "train_steps_per_second": 3265.587
     }
   ],
   "logging_steps": 500,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:546f7c9be28479e5dccd23e709f9e948f6d7223a49f74082f1a1ec808c408d93
+oid sha256:f1c91792475f1c508a18c346f615f2965253e7be6283eb87027bf2ea85c6401a
 size 4923