qubvel-hf HF staff commited on
Commit
6f6bdc9
1 Parent(s): 6fe1204

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: facebook/detr-resnet-50
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: facebook-detr-resnet-50-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/x8wu1piw)
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  # facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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- This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3664
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- - Map: 0.2799
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- - Map 50: 0.5839
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- - Map 75: 0.236
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- - Map Small: 0.1569
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  - Map Medium: 0.2077
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- - Map Large: 0.4747
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- - Mar 1: 0.2825
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- - Mar 10: 0.4423
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- - Mar 100: 0.4532
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- - Mar Small: 0.2308
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- - Mar Medium: 0.3887
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- - Mar Large: 0.69
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- - Map Coverall: 0.5471
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- - Mar 100 Coverall: 0.6811
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- - Map Face Shield: 0.2937
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- - Mar 100 Face Shield: 0.4684
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- - Map Gloves: 0.1975
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- - Mar 100 Gloves: 0.3817
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  - Map Goggles: 0.1173
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- - Mar 100 Goggles: 0.3723
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- - Map Mask: 0.2438
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- - Mar 100 Mask: 0.3627
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  ## Model description
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  license: apache-2.0
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  base_model: facebook/detr-resnet-50
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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: facebook-detr-resnet-50-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/x8wu1piw)
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  # facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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+ This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cppe-5 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3763
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+ - Map: 0.2829
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+ - Map 50: 0.5916
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+ - Map 75: 0.2359
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+ - Map Small: 0.1623
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  - Map Medium: 0.2077
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+ - Map Large: 0.4793
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+ - Mar 1: 0.2809
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+ - Mar 10: 0.4454
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+ - Mar 100: 0.4571
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+ - Mar Small: 0.2381
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+ - Mar Medium: 0.3921
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+ - Mar Large: 0.6929
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+ - Map Coverall: 0.5515
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+ - Mar 100 Coverall: 0.6829
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+ - Map Face Shield: 0.2952
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+ - Mar 100 Face Shield: 0.4734
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+ - Map Gloves: 0.2003
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+ - Mar 100 Gloves: 0.3826
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  - Map Goggles: 0.1173
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+ - Mar 100 Goggles: 0.3815
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+ - Map Mask: 0.25
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+ - Mar 100 Mask: 0.3649
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  ## Model description
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all_results.json ADDED
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+ {
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+ "epoch": 100.0,
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+ "eval_loss": 1.3763102293014526,
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+ "eval_map": 0.2829,
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+ "eval_map_50": 0.5916,
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+ "eval_map_75": 0.2359,
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+ "eval_map_Coverall": 0.5515,
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+ "eval_map_Face_Shield": 0.2952,
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+ "eval_map_Gloves": 0.2003,
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+ "eval_map_Goggles": 0.1173,
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+ "eval_map_Mask": 0.25,
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+ "eval_map_large": 0.4793,
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+ "eval_map_medium": 0.2077,
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+ "eval_map_small": 0.1623,
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+ "eval_mar_1": 0.2809,
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+ "eval_mar_10": 0.4454,
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+ "eval_mar_100": 0.4571,
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+ "eval_mar_100_Coverall": 0.6829,
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+ "eval_mar_100_Face_Shield": 0.4734,
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+ "eval_mar_100_Gloves": 0.3826,
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+ "eval_mar_100_Goggles": 0.3815,
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+ "eval_mar_100_Mask": 0.3649,
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+ "eval_mar_large": 0.6929,
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+ "eval_mar_medium": 0.3921,
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+ "eval_mar_small": 0.2381,
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+ "eval_runtime": 5.9225,
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+ "eval_samples_per_second": 25.327,
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+ "eval_steps_per_second": 3.208,
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+ "test_loss": 1.2338895797729492,
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+ "test_map": 0.3953,
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+ "test_map_50": 0.7479,
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+ "test_map_75": 0.3573,
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+ "test_map_Coverall": 0.6538,
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+ "test_map_Face_Shield": 0.4816,
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+ "test_map_Gloves": 0.2747,
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+ "test_map_Goggles": 0.2368,
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+ "test_map_Mask": 0.3298,
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+ "test_map_large": 0.6567,
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+ "test_map_medium": 0.2724,
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+ "test_map_small": 0.3566,
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+ "test_mar_1": 0.3197,
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+ "test_mar_10": 0.5407,
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+ "test_mar_100": 0.5559,
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+ "test_mar_100_Coverall": 0.7556,
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+ "test_mar_100_Face_Shield": 0.7,
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+ "test_mar_100_Gloves": 0.4459,
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+ "test_mar_100_Goggles": 0.4375,
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+ "test_mar_100_Mask": 0.4404,
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+ "test_mar_large": 0.793,
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+ "test_mar_medium": 0.388,
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+ "test_mar_small": 0.4374,
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+ "test_runtime": 1.9935,
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+ "test_samples_per_second": 14.547,
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+ "test_steps_per_second": 2.007,
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+ "total_flos": 2.2505492746344178e+19,
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+ "train_loss": 1.1716438714143271,
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+ "train_runtime": 4951.8709,
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+ "train_samples_per_second": 17.165,
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+ "train_steps_per_second": 2.161
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 100.0,
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+ "eval_loss": 1.3763102293014526,
4
+ "eval_map": 0.2829,
5
+ "eval_map_50": 0.5916,
6
+ "eval_map_75": 0.2359,
7
+ "eval_map_Coverall": 0.5515,
8
+ "eval_map_Face_Shield": 0.2952,
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+ "eval_map_Gloves": 0.2003,
10
+ "eval_map_Goggles": 0.1173,
11
+ "eval_map_Mask": 0.25,
12
+ "eval_map_large": 0.4793,
13
+ "eval_map_medium": 0.2077,
14
+ "eval_map_small": 0.1623,
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+ "eval_mar_1": 0.2809,
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+ "eval_mar_10": 0.4454,
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+ "eval_mar_100": 0.4571,
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+ "eval_mar_100_Coverall": 0.6829,
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+ "eval_mar_100_Face_Shield": 0.4734,
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+ "eval_mar_100_Gloves": 0.3826,
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+ "eval_mar_100_Goggles": 0.3815,
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+ "eval_mar_100_Mask": 0.3649,
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+ "eval_mar_large": 0.6929,
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+ "eval_mar_medium": 0.3921,
25
+ "eval_mar_small": 0.2381,
26
+ "eval_runtime": 5.9225,
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+ "eval_samples_per_second": 25.327,
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+ "eval_steps_per_second": 3.208
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+ }
test_results.json ADDED
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+ {
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+ "epoch": 100.0,
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+ "test_loss": 1.2338895797729492,
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+ "test_map": 0.3953,
5
+ "test_map_50": 0.7479,
6
+ "test_map_75": 0.3573,
7
+ "test_map_Coverall": 0.6538,
8
+ "test_map_Face_Shield": 0.4816,
9
+ "test_map_Gloves": 0.2747,
10
+ "test_map_Goggles": 0.2368,
11
+ "test_map_Mask": 0.3298,
12
+ "test_map_large": 0.6567,
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+ "test_map_medium": 0.2724,
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+ "test_map_small": 0.3566,
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+ "test_mar_1": 0.3197,
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+ "test_mar_10": 0.5407,
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+ "test_mar_100": 0.5559,
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+ "test_mar_100_Coverall": 0.7556,
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+ "test_mar_100_Face_Shield": 0.7,
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+ "test_mar_100_Gloves": 0.4459,
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+ "test_mar_100_Goggles": 0.4375,
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+ "test_mar_100_Mask": 0.4404,
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+ "test_mar_large": 0.793,
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+ "test_mar_medium": 0.388,
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+ "test_mar_small": 0.4374,
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+ "test_runtime": 1.9935,
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+ "test_samples_per_second": 14.547,
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+ "test_steps_per_second": 2.007
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+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 100.0,
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+ "total_flos": 2.2505492746344178e+19,
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+ "train_loss": 1.1716438714143271,
5
+ "train_runtime": 4951.8709,
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+ "train_samples_per_second": 17.165,
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+ "train_steps_per_second": 2.161
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+ }
trainer_state.json ADDED
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