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: 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-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/01a30203)
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  # facebook-detr-resnet-50-finetuned-10k-cppe5-manual-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: 1.3496
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- - Map: 0.2868
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- - Map 50: 0.5691
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- - Map 75: 0.2516
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- - Map Small: 0.1306
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- - Map Medium: 0.2195
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- - Map Large: 0.5019
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- - Mar 1: 0.2862
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- - Mar 10: 0.445
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- - Mar 100: 0.4563
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- - Mar Small: 0.2314
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- - Mar Medium: 0.3882
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- - Mar Large: 0.6898
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- - Map Coverall: 0.544
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- - Mar 100 Coverall: 0.6635
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- - Map Face Shield: 0.236
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- - Mar 100 Face Shield: 0.462
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- - Map Gloves: 0.2212
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- - Mar 100 Gloves: 0.3888
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- - Map Goggles: 0.1528
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- - Mar 100 Goggles: 0.3738
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- - Map Mask: 0.2799
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- - Mar 100 Mask: 0.3933
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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-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/01a30203)
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  # facebook-detr-resnet-50-finetuned-10k-cppe5-manual-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: 1.3392
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+ - Map: 0.291
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+ - Map 50: 0.568
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+ - Map 75: 0.2641
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+ - Map Small: 0.1359
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+ - Map Medium: 0.2289
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+ - Map Large: 0.4946
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+ - Mar 1: 0.2894
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+ - Mar 10: 0.4481
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+ - Mar 100: 0.4582
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+ - Mar Small: 0.2383
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+ - Mar Medium: 0.4004
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+ - Mar Large: 0.6871
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+ - Map Coverall: 0.5463
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+ - Mar 100 Coverall: 0.6676
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+ - Map Face Shield: 0.2454
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+ - Mar 100 Face Shield: 0.4405
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+ - Map Gloves: 0.216
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+ - Mar 100 Gloves: 0.3924
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+ - Map Goggles: 0.1691
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+ - Mar 100 Goggles: 0.3969
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+ - Map Mask: 0.278
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+ - Mar 100 Mask: 0.3938
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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": 100.0,
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+ "eval_loss": 1.3391669988632202,
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+ "eval_map": 0.291,
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+ "eval_map_50": 0.568,
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+ "eval_map_75": 0.2641,
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+ "eval_map_Coverall": 0.5463,
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+ "eval_map_Face_Shield": 0.2454,
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+ "eval_map_Gloves": 0.216,
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+ "eval_map_Goggles": 0.1691,
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+ "eval_map_Mask": 0.278,
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+ "eval_map_large": 0.4946,
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+ "eval_map_medium": 0.2289,
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+ "eval_map_small": 0.1359,
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+ "eval_mar_1": 0.2894,
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+ "eval_mar_10": 0.4481,
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+ "eval_mar_100": 0.4582,
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+ "eval_mar_100_Coverall": 0.6676,
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+ "eval_mar_100_Face_Shield": 0.4405,
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+ "eval_mar_100_Gloves": 0.3924,
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+ "eval_mar_100_Goggles": 0.3969,
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+ "eval_mar_100_Mask": 0.3938,
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+ "eval_mar_large": 0.6871,
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+ "eval_mar_medium": 0.4004,
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+ "eval_mar_small": 0.2383,
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+ "eval_runtime": 6.9883,
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+ "eval_samples_per_second": 21.464,
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+ "eval_steps_per_second": 2.719,
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+ "test_loss": 1.0454223155975342,
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+ "test_map": 0.4602,
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+ "test_map_50": 0.8147,
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+ "test_map_75": 0.4515,
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+ "test_map_Coverall": 0.6633,
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+ "test_map_Face_Shield": 0.5231,
35
+ "test_map_Gloves": 0.3942,
36
+ "test_map_Goggles": 0.2844,
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+ "test_map_Mask": 0.4361,
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+ "test_map_large": 0.6894,
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+ "test_map_medium": 0.3479,
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+ "test_map_small": 0.3561,
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+ "test_mar_1": 0.3531,
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+ "test_mar_10": 0.5695,
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+ "test_mar_100": 0.5755,
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+ "test_mar_100_Coverall": 0.7533,
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+ "test_mar_100_Face_Shield": 0.6765,
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+ "test_mar_100_Gloves": 0.4721,
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+ "test_mar_100_Goggles": 0.4563,
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+ "test_mar_100_Mask": 0.5192,
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+ "test_mar_large": 0.7381,
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+ "test_mar_medium": 0.4441,
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+ "test_mar_small": 0.4885,
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+ "test_runtime": 1.9771,
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+ "test_samples_per_second": 14.668,
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+ "test_steps_per_second": 2.023,
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+ "total_flos": 2.28455679528e+19,
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+ "train_loss": 0.9875392821124781,
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+ "train_runtime": 5219.9382,
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+ "train_samples_per_second": 16.284,
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+ "train_steps_per_second": 2.05
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+ }
eval_results.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 100.0,
3
+ "eval_loss": 1.3391669988632202,
4
+ "eval_map": 0.291,
5
+ "eval_map_50": 0.568,
6
+ "eval_map_75": 0.2641,
7
+ "eval_map_Coverall": 0.5463,
8
+ "eval_map_Face_Shield": 0.2454,
9
+ "eval_map_Gloves": 0.216,
10
+ "eval_map_Goggles": 0.1691,
11
+ "eval_map_Mask": 0.278,
12
+ "eval_map_large": 0.4946,
13
+ "eval_map_medium": 0.2289,
14
+ "eval_map_small": 0.1359,
15
+ "eval_mar_1": 0.2894,
16
+ "eval_mar_10": 0.4481,
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+ "eval_mar_100": 0.4582,
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+ "eval_mar_100_Coverall": 0.6676,
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+ "eval_mar_100_Face_Shield": 0.4405,
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+ "eval_mar_100_Gloves": 0.3924,
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+ "eval_mar_100_Goggles": 0.3969,
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+ "eval_mar_100_Mask": 0.3938,
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+ "eval_mar_large": 0.6871,
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+ "eval_mar_medium": 0.4004,
25
+ "eval_mar_small": 0.2383,
26
+ "eval_runtime": 6.9883,
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+ "eval_samples_per_second": 21.464,
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+ "eval_steps_per_second": 2.719
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+ }
test_results.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 100.0,
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+ "test_loss": 1.0454223155975342,
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+ "test_map": 0.4602,
5
+ "test_map_50": 0.8147,
6
+ "test_map_75": 0.4515,
7
+ "test_map_Coverall": 0.6633,
8
+ "test_map_Face_Shield": 0.5231,
9
+ "test_map_Gloves": 0.3942,
10
+ "test_map_Goggles": 0.2844,
11
+ "test_map_Mask": 0.4361,
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+ "test_map_large": 0.6894,
13
+ "test_map_medium": 0.3479,
14
+ "test_map_small": 0.3561,
15
+ "test_mar_1": 0.3531,
16
+ "test_mar_10": 0.5695,
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+ "test_mar_100": 0.5755,
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+ "test_mar_100_Coverall": 0.7533,
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+ "test_mar_100_Face_Shield": 0.6765,
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+ "test_mar_100_Gloves": 0.4721,
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+ "test_mar_100_Goggles": 0.4563,
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+ "test_mar_100_Mask": 0.5192,
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+ "test_mar_large": 0.7381,
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+ "test_mar_medium": 0.4441,
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+ "test_mar_small": 0.4885,
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+ "test_runtime": 1.9771,
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+ "test_samples_per_second": 14.668,
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+ "test_steps_per_second": 2.023
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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": 2.28455679528e+19,
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+ "train_loss": 0.9875392821124781,
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+ "train_runtime": 5219.9382,
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+ "train_samples_per_second": 16.284,
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+ "train_steps_per_second": 2.05
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+ }
trainer_state.json ADDED
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