End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: hustvl/yolos-small
 tags:
+- object-detection
+- vision
 - generated_from_trainer
 model-index:
 - name: hustvl-yolos-small-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/zj80npsf)
 # hustvl-yolos-small-finetuned-10k-cppe5-auto-pad
 
-This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on an unknown dataset.
+This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on the cppe-5 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.7415
 - Map: 0.2892
@@ -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": 7.4879,
     "eval_samples_per_second": 20.032,
     "eval_steps_per_second": 2.537,
-    "test_loss": 1.5367867946624756,
-    "test_map": 0.3974,
-    "test_map_50": 0.7169,
-    "test_map_75": 0.4036,
-    "test_map_Coverall": 0.5685,
-    "test_map_Face_Shield": 0.5919,
-    "test_map_Gloves": 0.3667,
-    "test_map_Goggles": 0.133,
-    "test_map_Mask": 0.3269,
-    "test_map_large": 0.5657,
-    "test_map_medium": 0.2449,
-    "test_map_small": 0.408,
-    "test_mar_1": 0.3145,
-    "test_mar_10": 0.5313,
-    "test_mar_100": 0.5483,
-    "test_mar_100_Coverall": 0.7267,
-    "test_mar_100_Face_Shield": 0.7412,
-    "test_mar_100_Gloves": 0.4787,
-    "test_mar_100_Goggles": 0.3219,
-    "test_mar_100_Mask": 0.4731,
-    "test_mar_large": 0.7141,
-    "test_mar_medium": 0.4036,
-    "test_mar_small": 0.4607,
-    "test_runtime": 2.0043,
-    "test_samples_per_second": 14.469,
-    "test_steps_per_second": 1.996,
+    "test_loss": 1.3127506971359253,
+    "test_map": 0.3786,
+    "test_map_50": 0.7224,
+    "test_map_75": 0.3492,
+    "test_map_Coverall": 0.601,
+    "test_map_Face_Shield": 0.5063,
+    "test_map_Gloves": 0.3217,
+    "test_map_Goggles": 0.1532,
+    "test_map_Mask": 0.3107,
+    "test_map_large": 0.5803,
+    "test_map_medium": 0.292,
+    "test_map_small": 0.251,
+    "test_mar_1": 0.3069,
+    "test_mar_10": 0.524,
+    "test_mar_100": 0.5389,
+    "test_mar_100_Coverall": 0.7756,
+    "test_mar_100_Face_Shield": 0.6588,
+    "test_mar_100_Gloves": 0.4262,
+    "test_mar_100_Goggles": 0.3688,
+    "test_mar_100_Mask": 0.4654,
+    "test_mar_large": 0.7541,
+    "test_mar_medium": 0.4656,
+    "test_mar_small": 0.3213,
+    "test_runtime": 4.1094,
+    "test_samples_per_second": 7.057,
+    "test_steps_per_second": 7.057,
     "total_flos": 1.6194857431601019e+19,
-    "train_loss": 0.5626228197044302,
-    "train_runtime": 7619.966,
-    "train_samples_per_second": 11.155,
-    "train_steps_per_second": 1.404
+    "train_loss": 0.0,
+    "train_runtime": 2.9939,
+    "train_samples_per_second": 28390.623,
+    "train_steps_per_second": 3573.878
 }

test_results.json

@@ -1,29 +1,29 @@
 {
     "epoch": 100.0,
-    "test_loss": 1.5367867946624756,
-    "test_map": 0.3974,
-    "test_map_50": 0.7169,
-    "test_map_75": 0.4036,
-    "test_map_Coverall": 0.5685,
-    "test_map_Face_Shield": 0.5919,
-    "test_map_Gloves": 0.3667,
-    "test_map_Goggles": 0.133,
-    "test_map_Mask": 0.3269,
-    "test_map_large": 0.5657,
-    "test_map_medium": 0.2449,
-    "test_map_small": 0.408,
-    "test_mar_1": 0.3145,
-    "test_mar_10": 0.5313,
-    "test_mar_100": 0.5483,
-    "test_mar_100_Coverall": 0.7267,
-    "test_mar_100_Face_Shield": 0.7412,
-    "test_mar_100_Gloves": 0.4787,
-    "test_mar_100_Goggles": 0.3219,
-    "test_mar_100_Mask": 0.4731,
-    "test_mar_large": 0.7141,
-    "test_mar_medium": 0.4036,
-    "test_mar_small": 0.4607,
-    "test_runtime": 2.0043,
-    "test_samples_per_second": 14.469,
-    "test_steps_per_second": 1.996
+    "test_loss": 1.3127506971359253,
+    "test_map": 0.3786,
+    "test_map_50": 0.7224,
+    "test_map_75": 0.3492,
+    "test_map_Coverall": 0.601,
+    "test_map_Face_Shield": 0.5063,
+    "test_map_Gloves": 0.3217,
+    "test_map_Goggles": 0.1532,
+    "test_map_Mask": 0.3107,
+    "test_map_large": 0.5803,
+    "test_map_medium": 0.292,
+    "test_map_small": 0.251,
+    "test_mar_1": 0.3069,
+    "test_mar_10": 0.524,
+    "test_mar_100": 0.5389,
+    "test_mar_100_Coverall": 0.7756,
+    "test_mar_100_Face_Shield": 0.6588,
+    "test_mar_100_Gloves": 0.4262,
+    "test_mar_100_Goggles": 0.3688,
+    "test_mar_100_Mask": 0.4654,
+    "test_mar_large": 0.7541,
+    "test_mar_medium": 0.4656,
+    "test_mar_small": 0.3213,
+    "test_runtime": 4.1094,
+    "test_samples_per_second": 7.057,
+    "test_steps_per_second": 7.057
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 100.0,
     "total_flos": 1.6194857431601019e+19,
-    "train_loss": 0.5626228197044302,
-    "train_runtime": 7619.966,
-    "train_samples_per_second": 11.155,
-    "train_steps_per_second": 1.404
+    "train_loss": 0.0,
+    "train_runtime": 2.9939,
+    "train_samples_per_second": 28390.623,
+    "train_steps_per_second": 3573.878
 }

trainer_state.json

@@ -3712,10 +3712,10 @@
       "epoch": 100.0,
       "step": 10700,
       "total_flos": 1.6194857431601019e+19,
-      "train_loss": 0.5626228197044302,
-      "train_runtime": 7619.966,
-      "train_samples_per_second": 11.155,
-      "train_steps_per_second": 1.404
+      "train_loss": 0.0,
+      "train_runtime": 2.9939,
+      "train_samples_per_second": 28390.623,
+      "train_steps_per_second": 3573.878
     }
   ],
   "logging_steps": 500,

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:6f6ab2adb37254834573b16d4b6c02c8ca99b5eb9b37d879de46c721645de950
 size 4859