qubvel-hf HF staff commited on
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End of training

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README.md CHANGED
@@ -2,6 +2,8 @@
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  license: apache-2.0
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  base_model: SenseTime/deformable-detr
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad
@@ -14,31 +16,31 @@ should probably proofread and complete it, then remove this comment. -->
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  [<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/b2zl20b3)
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  # sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad
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- This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1077
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- - Map: 0.2966
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- - Map 50: 0.5533
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- - Map 75: 0.2796
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- - Map Small: 0.1574
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- - Map Medium: 0.2376
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- - Map Large: 0.4613
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- - Mar 1: 0.2796
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- - Mar 10: 0.4669
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- - Mar 100: 0.5019
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- - Mar Small: 0.2991
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- - Mar Medium: 0.4538
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- - Mar Large: 0.701
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- - Map Coverall: 0.542
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- - Mar 100 Coverall: 0.673
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- - Map Face Shield: 0.2897
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- - Mar 100 Face Shield: 0.5063
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- - Map Gloves: 0.1962
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- - Mar 100 Gloves: 0.4442
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- - Map Goggles: 0.1636
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- - Mar 100 Goggles: 0.4262
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- - Map Mask: 0.2918
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- - Mar 100 Mask: 0.46
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  ## Model description
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  license: apache-2.0
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  base_model: SenseTime/deformable-detr
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  tags:
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+ - object-detection
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+ - vision
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  - generated_from_trainer
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  model-index:
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  - name: sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad
 
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  [<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/b2zl20b3)
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  # sensetime-deformable-detr-finetuned-10k-cppe5-auto-pad
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+ This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on the cppe-5 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1019
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+ - Map: 0.298
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+ - Map 50: 0.5545
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+ - Map 75: 0.2748
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+ - Map Small: 0.1608
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+ - Map Medium: 0.2403
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+ - Map Large: 0.4637
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+ - Mar 1: 0.2807
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+ - Mar 10: 0.469
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+ - Mar 100: 0.5006
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+ - Mar Small: 0.3003
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+ - Mar Medium: 0.4532
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+ - Mar Large: 0.6962
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+ - Map Coverall: 0.5405
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+ - Mar 100 Coverall: 0.6698
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+ - Map Face Shield: 0.2887
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+ - Mar 100 Face Shield: 0.5089
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+ - Map Gloves: 0.2012
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+ - Mar 100 Gloves: 0.4455
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+ - Map Goggles: 0.1644
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+ - Mar 100 Goggles: 0.4185
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+ - Map Mask: 0.2954
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+ - Mar 100 Mask: 0.4604
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  ## Model description
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all_results.json ADDED
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+ {
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+ "epoch": 99.53051643192488,
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+ "eval_loss": 1.101932406425476,
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+ "eval_map": 0.298,
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+ "eval_map_50": 0.5545,
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+ "eval_map_75": 0.2748,
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+ "eval_map_Coverall": 0.5405,
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+ "eval_map_Face_Shield": 0.2887,
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+ "eval_map_Gloves": 0.2012,
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+ "eval_map_Goggles": 0.1644,
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+ "eval_map_Mask": 0.2954,
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+ "eval_map_large": 0.4637,
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+ "eval_map_medium": 0.2403,
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+ "eval_map_small": 0.1608,
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+ "eval_mar_1": 0.2807,
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+ "eval_mar_10": 0.469,
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+ "eval_mar_100": 0.5006,
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+ "eval_mar_100_Coverall": 0.6698,
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+ "eval_mar_100_Face_Shield": 0.5089,
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+ "eval_mar_100_Gloves": 0.4455,
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+ "eval_mar_100_Goggles": 0.4185,
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+ "eval_mar_100_Mask": 0.4604,
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+ "eval_mar_large": 0.6962,
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+ "eval_mar_medium": 0.4532,
25
+ "eval_mar_small": 0.3003,
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+ "eval_runtime": 15.523,
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+ "eval_samples_per_second": 9.663,
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+ "eval_steps_per_second": 1.224,
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+ "test_loss": 0.9166296720504761,
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+ "test_map": 0.4366,
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+ "test_map_50": 0.7304,
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+ "test_map_75": 0.4448,
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+ "test_map_Coverall": 0.6296,
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+ "test_map_Face_Shield": 0.4194,
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+ "test_map_Gloves": 0.3438,
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+ "test_map_Goggles": 0.301,
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+ "test_map_Mask": 0.4891,
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+ "test_map_large": 0.6324,
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+ "test_map_medium": 0.2898,
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+ "test_map_small": 0.4357,
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+ "test_mar_1": 0.3442,
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+ "test_mar_10": 0.5781,
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+ "test_mar_100": 0.6031,
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+ "test_mar_100_Coverall": 0.7222,
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+ "test_mar_100_Face_Shield": 0.6824,
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+ "test_mar_100_Gloves": 0.5016,
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+ "test_mar_100_Goggles": 0.5344,
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+ "test_mar_100_Mask": 0.575,
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+ "test_mar_large": 0.7618,
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+ "test_mar_medium": 0.4489,
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+ "test_mar_small": 0.5004,
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+ "test_runtime": 3.552,
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+ "test_samples_per_second": 8.164,
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+ "test_steps_per_second": 1.126,
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+ "total_flos": 2.0297599094333424e+19,
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+ "train_loss": 1.1465214905648862,
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+ "train_runtime": 16105.6449,
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+ "train_samples_per_second": 5.278,
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+ "train_steps_per_second": 0.658
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 99.53051643192488,
3
+ "eval_loss": 1.101932406425476,
4
+ "eval_map": 0.298,
5
+ "eval_map_50": 0.5545,
6
+ "eval_map_75": 0.2748,
7
+ "eval_map_Coverall": 0.5405,
8
+ "eval_map_Face_Shield": 0.2887,
9
+ "eval_map_Gloves": 0.2012,
10
+ "eval_map_Goggles": 0.1644,
11
+ "eval_map_Mask": 0.2954,
12
+ "eval_map_large": 0.4637,
13
+ "eval_map_medium": 0.2403,
14
+ "eval_map_small": 0.1608,
15
+ "eval_mar_1": 0.2807,
16
+ "eval_mar_10": 0.469,
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+ "eval_mar_100": 0.5006,
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+ "eval_mar_100_Coverall": 0.6698,
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+ "eval_mar_100_Face_Shield": 0.5089,
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+ "eval_mar_100_Gloves": 0.4455,
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+ "eval_mar_100_Goggles": 0.4185,
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+ "eval_mar_100_Mask": 0.4604,
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+ "eval_mar_large": 0.6962,
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+ "eval_mar_medium": 0.4532,
25
+ "eval_mar_small": 0.3003,
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+ "eval_runtime": 15.523,
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+ "eval_samples_per_second": 9.663,
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+ "eval_steps_per_second": 1.224
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+ }
test_results.json ADDED
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+ {
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+ "epoch": 99.53051643192488,
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+ "test_loss": 0.9166296720504761,
4
+ "test_map": 0.4366,
5
+ "test_map_50": 0.7304,
6
+ "test_map_75": 0.4448,
7
+ "test_map_Coverall": 0.6296,
8
+ "test_map_Face_Shield": 0.4194,
9
+ "test_map_Gloves": 0.3438,
10
+ "test_map_Goggles": 0.301,
11
+ "test_map_Mask": 0.4891,
12
+ "test_map_large": 0.6324,
13
+ "test_map_medium": 0.2898,
14
+ "test_map_small": 0.4357,
15
+ "test_mar_1": 0.3442,
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+ "test_mar_10": 0.5781,
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+ "test_mar_100": 0.6031,
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+ "test_mar_100_Coverall": 0.7222,
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+ "test_mar_100_Face_Shield": 0.6824,
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+ "test_mar_100_Gloves": 0.5016,
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+ "test_mar_100_Goggles": 0.5344,
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+ "test_mar_100_Mask": 0.575,
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+ "test_mar_large": 0.7618,
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+ "test_mar_medium": 0.4489,
25
+ "test_mar_small": 0.5004,
26
+ "test_runtime": 3.552,
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+ "test_samples_per_second": 8.164,
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+ "test_steps_per_second": 1.126
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+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 99.53051643192488,
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+ "total_flos": 2.0297599094333424e+19,
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+ "train_loss": 1.1465214905648862,
5
+ "train_runtime": 16105.6449,
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+ "train_samples_per_second": 5.278,
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+ "train_steps_per_second": 0.658
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+ }
trainer_state.json ADDED
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