qubvel-hf HF staff commited on
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End of training

Browse files
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-manual-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/tqbxv4bu)
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  # sensetime-deformable-detr-finetuned-10k-cppe5-manual-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: 1.0442
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- - Map: 0.3514
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- - Map 50: 0.6496
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- - Map 75: 0.3279
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- - Map Small: 0.2421
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- - Map Medium: 0.2912
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- - Map Large: 0.5328
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- - Mar 1: 0.3162
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- - Mar 10: 0.4852
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- - Mar 100: 0.5091
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- - Mar Small: 0.3118
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- - Mar Medium: 0.4684
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- - Mar Large: 0.7154
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- - Map Coverall: 0.5877
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- - Mar 100 Coverall: 0.6851
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- - Map Face Shield: 0.3269
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- - Mar 100 Face Shield: 0.4873
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- - Map Gloves: 0.2902
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- - Mar 100 Gloves: 0.4821
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- - Map Goggles: 0.2064
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- - Mar 100 Goggles: 0.4138
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- - Map Mask: 0.3456
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- - Mar 100 Mask: 0.4769
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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-manual-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/tqbxv4bu)
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  # sensetime-deformable-detr-finetuned-10k-cppe5-manual-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: 1.0256
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+ - Map: 0.3589
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+ - Map 50: 0.6477
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+ - Map 75: 0.3379
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+ - Map Small: 0.2489
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+ - Map Medium: 0.3004
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+ - Map Large: 0.5406
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+ - Mar 1: 0.321
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+ - Mar 10: 0.4947
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+ - Mar 100: 0.5174
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+ - Mar Small: 0.3113
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+ - Mar Medium: 0.4731
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+ - Mar Large: 0.7397
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+ - Map Coverall: 0.5964
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+ - Mar 100 Coverall: 0.6878
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+ - Map Face Shield: 0.3426
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+ - Mar 100 Face Shield: 0.5165
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+ - Map Gloves: 0.2892
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+ - Mar 100 Gloves: 0.4808
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+ - Map Goggles: 0.2237
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+ - Mar 100 Goggles: 0.4215
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+ - Map Mask: 0.3424
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+ - Mar 100 Mask: 0.4804
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  ## Model description
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all_results.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 99.53051643192488,
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+ "eval_loss": 1.0255779027938843,
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+ "eval_map": 0.3589,
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+ "eval_map_50": 0.6477,
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+ "eval_map_75": 0.3379,
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+ "eval_map_Coverall": 0.5964,
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+ "eval_map_Face_Shield": 0.3426,
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+ "eval_map_Gloves": 0.2892,
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+ "eval_map_Goggles": 0.2237,
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+ "eval_map_Mask": 0.3424,
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+ "eval_map_large": 0.5406,
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+ "eval_map_medium": 0.3004,
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+ "eval_map_small": 0.2489,
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+ "eval_mar_1": 0.321,
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+ "eval_mar_10": 0.4947,
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+ "eval_mar_100": 0.5174,
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+ "eval_mar_100_Coverall": 0.6878,
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+ "eval_mar_100_Face_Shield": 0.5165,
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+ "eval_mar_100_Gloves": 0.4808,
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+ "eval_mar_100_Goggles": 0.4215,
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+ "eval_mar_100_Mask": 0.4804,
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+ "eval_mar_large": 0.7397,
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+ "eval_mar_medium": 0.4731,
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+ "eval_mar_small": 0.3113,
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+ "eval_runtime": 15.6632,
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+ "eval_samples_per_second": 9.577,
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+ "eval_steps_per_second": 1.213,
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+ "test_loss": 0.7814600467681885,
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+ "test_map": 0.5279,
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+ "test_map_50": 0.8341,
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+ "test_map_75": 0.5627,
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+ "test_map_Coverall": 0.6264,
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+ "test_map_Face_Shield": 0.612,
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+ "test_map_Gloves": 0.4778,
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+ "test_map_Goggles": 0.4403,
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+ "test_map_Mask": 0.4831,
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+ "test_map_large": 0.705,
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+ "test_map_medium": 0.4585,
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+ "test_map_small": 0.5477,
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+ "test_mar_1": 0.3727,
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+ "test_mar_10": 0.621,
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+ "test_mar_100": 0.6349,
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+ "test_mar_100_Coverall": 0.7467,
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+ "test_mar_100_Face_Shield": 0.7471,
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+ "test_mar_100_Gloves": 0.5738,
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+ "test_mar_100_Goggles": 0.5281,
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+ "test_mar_100_Mask": 0.5788,
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+ "test_mar_large": 0.8137,
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+ "test_mar_medium": 0.5441,
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+ "test_mar_small": 0.5739,
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+ "test_runtime": 3.788,
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+ "test_samples_per_second": 7.656,
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+ "test_steps_per_second": 1.056,
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+ "total_flos": 2.1870706694064443e+19,
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+ "train_loss": 0.7253786786997093,
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+ "train_runtime": 17217.4822,
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+ "train_samples_per_second": 4.937,
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+ "train_steps_per_second": 0.616
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 99.53051643192488,
3
+ "eval_loss": 1.0255779027938843,
4
+ "eval_map": 0.3589,
5
+ "eval_map_50": 0.6477,
6
+ "eval_map_75": 0.3379,
7
+ "eval_map_Coverall": 0.5964,
8
+ "eval_map_Face_Shield": 0.3426,
9
+ "eval_map_Gloves": 0.2892,
10
+ "eval_map_Goggles": 0.2237,
11
+ "eval_map_Mask": 0.3424,
12
+ "eval_map_large": 0.5406,
13
+ "eval_map_medium": 0.3004,
14
+ "eval_map_small": 0.2489,
15
+ "eval_mar_1": 0.321,
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+ "eval_mar_10": 0.4947,
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+ "eval_mar_100": 0.5174,
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+ "eval_mar_100_Coverall": 0.6878,
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+ "eval_mar_100_Face_Shield": 0.5165,
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+ "eval_mar_100_Gloves": 0.4808,
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+ "eval_mar_100_Goggles": 0.4215,
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+ "eval_mar_100_Mask": 0.4804,
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+ "eval_mar_large": 0.7397,
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+ "eval_mar_medium": 0.4731,
25
+ "eval_mar_small": 0.3113,
26
+ "eval_runtime": 15.6632,
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+ "eval_samples_per_second": 9.577,
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+ "eval_steps_per_second": 1.213
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+ }
test_results.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 99.53051643192488,
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+ "test_loss": 0.7814600467681885,
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+ "test_map": 0.5279,
5
+ "test_map_50": 0.8341,
6
+ "test_map_75": 0.5627,
7
+ "test_map_Coverall": 0.6264,
8
+ "test_map_Face_Shield": 0.612,
9
+ "test_map_Gloves": 0.4778,
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+ "test_map_Goggles": 0.4403,
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+ "test_map_Mask": 0.4831,
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+ "test_map_large": 0.705,
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+ "test_map_medium": 0.4585,
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+ "test_map_small": 0.5477,
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+ "test_mar_1": 0.3727,
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+ "test_mar_10": 0.621,
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+ "test_mar_100": 0.6349,
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+ "test_mar_100_Coverall": 0.7467,
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+ "test_mar_100_Face_Shield": 0.7471,
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+ "test_mar_100_Gloves": 0.5738,
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+ "test_mar_100_Goggles": 0.5281,
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+ "test_mar_100_Mask": 0.5788,
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+ "test_mar_large": 0.8137,
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+ "test_mar_medium": 0.5441,
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+ "test_mar_small": 0.5739,
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+ "test_runtime": 3.788,
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+ "test_samples_per_second": 7.656,
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+ "test_steps_per_second": 1.056
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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": 2.1870706694064443e+19,
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+ "train_loss": 0.7253786786997093,
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+ "train_runtime": 17217.4822,
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+ "train_samples_per_second": 4.937,
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+ "train_steps_per_second": 0.616
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+ }
trainer_state.json ADDED
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