qubvel-hf HF staff commited on
Commit
19a6179
1 Parent(s): 051ced6

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: hustvl/yolos-small
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: hustvl-yolos-small-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/kri1hc22)
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  # hustvl-yolos-small-finetuned-10k-cppe5-auto-pad
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- This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7415
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- - Map: 0.2892
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- - Map 50: 0.5968
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- - Map 75: 0.2545
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- - Map Small: 0.1595
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- - Map Medium: 0.2179
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- - Map Large: 0.495
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- - Mar 1: 0.2835
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- - Mar 10: 0.4397
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- - Mar 100: 0.4617
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- - Mar Small: 0.2301
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- - Mar Medium: 0.4069
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- - Mar Large: 0.6909
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- - Map Coverall: 0.5487
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- - Mar 100 Coverall: 0.6842
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- - Map Face Shield: 0.2878
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- - Mar 100 Face Shield: 0.4494
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- - Map Gloves: 0.1891
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- - Mar 100 Gloves: 0.3924
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- - Map Goggles: 0.1726
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- - Mar 100 Goggles: 0.3815
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- - Map Mask: 0.2478
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- - Mar 100 Mask: 0.4009
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  ## Model description
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  license: apache-2.0
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  base_model: hustvl/yolos-small
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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: hustvl-yolos-small-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/kri1hc22)
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  # hustvl-yolos-small-finetuned-10k-cppe5-auto-pad
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+ This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on the cppe-5 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7709
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+ - Map: 0.298
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+ - Map 50: 0.6103
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+ - Map 75: 0.2583
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+ - Map Small: 0.1584
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+ - Map Medium: 0.2312
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+ - Map Large: 0.512
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+ - Mar 1: 0.2861
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+ - Mar 10: 0.4451
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+ - Mar 100: 0.4684
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+ - Mar Small: 0.2274
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+ - Mar Medium: 0.4152
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+ - Mar Large: 0.6937
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+ - Map Coverall: 0.5464
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+ - Mar 100 Coverall: 0.6914
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+ - Map Face Shield: 0.3047
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+ - Mar 100 Face Shield: 0.4671
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+ - Map Gloves: 0.2021
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+ - Mar 100 Gloves: 0.3987
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+ - Map Goggles: 0.1799
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+ - Mar 100 Goggles: 0.3723
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+ - Map Mask: 0.257
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+ - Mar 100 Mask: 0.4124
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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": 1.7708603143692017,
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+ "eval_map": 0.298,
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+ "eval_map_50": 0.6103,
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+ "eval_map_75": 0.2583,
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+ "eval_map_Coverall": 0.5464,
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+ "eval_map_Face_Shield": 0.3047,
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+ "eval_map_Gloves": 0.2021,
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+ "eval_map_Goggles": 0.1799,
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+ "eval_map_Mask": 0.257,
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+ "eval_map_large": 0.512,
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+ "eval_map_medium": 0.2312,
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+ "eval_map_small": 0.1584,
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+ "eval_mar_1": 0.2861,
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+ "eval_mar_10": 0.4451,
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+ "eval_mar_100": 0.4684,
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+ "eval_mar_100_Coverall": 0.6914,
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+ "eval_mar_100_Face_Shield": 0.4671,
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+ "eval_mar_100_Gloves": 0.3987,
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+ "eval_mar_100_Goggles": 0.3723,
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+ "eval_mar_100_Mask": 0.4124,
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+ "eval_mar_large": 0.6937,
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+ "eval_mar_medium": 0.4152,
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+ "eval_mar_small": 0.2274,
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+ "eval_runtime": 7.4879,
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+ "eval_samples_per_second": 20.032,
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+ "eval_steps_per_second": 2.537,
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+ "test_loss": 1.5367867946624756,
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+ "test_map": 0.3974,
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+ "test_map_50": 0.7169,
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+ "test_map_75": 0.4036,
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+ "test_map_Coverall": 0.5685,
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+ "test_map_Face_Shield": 0.5919,
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+ "test_map_Gloves": 0.3667,
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+ "test_map_Goggles": 0.133,
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+ "test_map_Mask": 0.3269,
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+ "test_map_large": 0.5657,
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+ "test_map_medium": 0.2449,
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+ "test_map_small": 0.408,
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+ "test_mar_1": 0.3145,
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+ "test_mar_10": 0.5313,
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+ "test_mar_100": 0.5483,
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+ "test_mar_100_Coverall": 0.7267,
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+ "test_mar_100_Face_Shield": 0.7412,
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+ "test_mar_100_Gloves": 0.4787,
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+ "test_mar_100_Goggles": 0.3219,
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+ "test_mar_100_Mask": 0.4731,
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+ "test_mar_large": 0.7141,
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+ "test_mar_medium": 0.4036,
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+ "test_mar_small": 0.4607,
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+ "test_runtime": 2.0043,
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+ "test_samples_per_second": 14.469,
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+ "test_steps_per_second": 1.996,
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+ "total_flos": 1.6194857431601019e+19,
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+ "train_loss": 0.5626228197044302,
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+ "train_runtime": 7619.966,
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+ "train_samples_per_second": 11.155,
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+ "train_steps_per_second": 1.404
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 100.0,
3
+ "eval_loss": 1.7708603143692017,
4
+ "eval_map": 0.298,
5
+ "eval_map_50": 0.6103,
6
+ "eval_map_75": 0.2583,
7
+ "eval_map_Coverall": 0.5464,
8
+ "eval_map_Face_Shield": 0.3047,
9
+ "eval_map_Gloves": 0.2021,
10
+ "eval_map_Goggles": 0.1799,
11
+ "eval_map_Mask": 0.257,
12
+ "eval_map_large": 0.512,
13
+ "eval_map_medium": 0.2312,
14
+ "eval_map_small": 0.1584,
15
+ "eval_mar_1": 0.2861,
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+ "eval_mar_10": 0.4451,
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+ "eval_mar_100": 0.4684,
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+ "eval_mar_100_Coverall": 0.6914,
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+ "eval_mar_100_Face_Shield": 0.4671,
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+ "eval_mar_100_Gloves": 0.3987,
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+ "eval_mar_100_Goggles": 0.3723,
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+ "eval_mar_100_Mask": 0.4124,
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+ "eval_mar_large": 0.6937,
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+ "eval_mar_medium": 0.4152,
25
+ "eval_mar_small": 0.2274,
26
+ "eval_runtime": 7.4879,
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+ "eval_samples_per_second": 20.032,
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+ "eval_steps_per_second": 2.537
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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": 1.5367867946624756,
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+ "test_map": 0.3974,
5
+ "test_map_50": 0.7169,
6
+ "test_map_75": 0.4036,
7
+ "test_map_Coverall": 0.5685,
8
+ "test_map_Face_Shield": 0.5919,
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+ "test_map_Gloves": 0.3667,
10
+ "test_map_Goggles": 0.133,
11
+ "test_map_Mask": 0.3269,
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+ "test_map_large": 0.5657,
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+ "test_map_medium": 0.2449,
14
+ "test_map_small": 0.408,
15
+ "test_mar_1": 0.3145,
16
+ "test_mar_10": 0.5313,
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+ "test_mar_100": 0.5483,
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+ "test_mar_100_Coverall": 0.7267,
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+ "test_mar_100_Face_Shield": 0.7412,
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+ "test_mar_100_Gloves": 0.4787,
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+ "test_mar_100_Goggles": 0.3219,
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+ "test_mar_100_Mask": 0.4731,
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+ "test_mar_large": 0.7141,
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+ "test_mar_medium": 0.4036,
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+ "test_mar_small": 0.4607,
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+ "test_runtime": 2.0043,
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+ "test_samples_per_second": 14.469,
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+ "test_steps_per_second": 1.996
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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": 1.6194857431601019e+19,
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+ "train_loss": 0.5626228197044302,
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+ "train_runtime": 7619.966,
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+ "train_samples_per_second": 11.155,
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+ "train_steps_per_second": 1.404
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+ }
trainer_state.json ADDED
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