qubvel-hf HF staff commited on
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1 Parent(s): 3f7c10d

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-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/wew6j0zh)
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  # hustvl-yolos-small-finetuned-10k-cppe5-manual-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: 1.8651
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- - Map: 0.2893
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- - Map 50: 0.5857
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- - Map 75: 0.2362
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- - Map Small: 0.162
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- - Map Medium: 0.2199
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- - Map Large: 0.4909
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- - Mar 1: 0.2834
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- - Mar 10: 0.4333
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- - Mar 100: 0.4526
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- - Mar Small: 0.2365
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- - Mar Medium: 0.3956
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- - Mar Large: 0.6923
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- - Map Coverall: 0.549
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  - Mar 100 Coverall: 0.6631
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- - Map Face Shield: 0.2574
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- - Mar 100 Face Shield: 0.438
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- - Map Gloves: 0.1941
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- - Mar 100 Gloves: 0.3969
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- - Map Goggles: 0.1911
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- - Mar 100 Goggles: 0.3769
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- - Map Mask: 0.2551
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- - Mar 100 Mask: 0.388
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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-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/wew6j0zh)
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  # hustvl-yolos-small-finetuned-10k-cppe5-manual-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: 1.7972
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+ - Map: 0.292
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+ - Map 50: 0.5823
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+ - Map 75: 0.2547
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+ - Map Small: 0.1715
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+ - Map Medium: 0.2168
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+ - Map Large: 0.5148
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+ - Mar 1: 0.2804
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+ - Mar 10: 0.424
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+ - Mar 100: 0.4447
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+ - Mar Small: 0.224
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+ - Mar Medium: 0.3795
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+ - Mar Large: 0.6949
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+ - Map Coverall: 0.5577
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  - Mar 100 Coverall: 0.6631
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+ - Map Face Shield: 0.2464
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+ - Mar 100 Face Shield: 0.4152
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+ - Map Gloves: 0.187
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+ - Mar 100 Gloves: 0.3964
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+ - Map Goggles: 0.2104
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+ - Mar 100 Goggles: 0.3615
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+ - Map Mask: 0.2586
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+ - Mar 100 Mask: 0.3871
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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": 1.7971552610397339,
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+ "eval_map": 0.292,
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+ "eval_map_50": 0.5823,
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+ "eval_map_75": 0.2547,
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+ "eval_map_Coverall": 0.5577,
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+ "eval_map_Face_Shield": 0.2464,
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+ "eval_map_Gloves": 0.187,
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+ "eval_map_Goggles": 0.2104,
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+ "eval_map_Mask": 0.2586,
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+ "eval_map_large": 0.5148,
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+ "eval_map_medium": 0.2168,
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+ "eval_map_small": 0.1715,
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+ "eval_mar_1": 0.2804,
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+ "eval_mar_10": 0.424,
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+ "eval_mar_100": 0.4447,
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+ "eval_mar_100_Coverall": 0.6631,
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+ "eval_mar_100_Face_Shield": 0.4152,
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+ "eval_mar_100_Gloves": 0.3964,
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+ "eval_mar_100_Goggles": 0.3615,
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+ "eval_mar_100_Mask": 0.3871,
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+ "eval_mar_large": 0.6949,
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+ "eval_mar_medium": 0.3795,
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+ "eval_mar_small": 0.224,
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+ "eval_runtime": 7.7617,
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+ "eval_samples_per_second": 19.326,
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+ "eval_steps_per_second": 2.448,
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+ "test_loss": 1.587841272354126,
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+ "test_map": 0.3942,
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+ "test_map_50": 0.7048,
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+ "test_map_75": 0.3809,
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+ "test_map_Coverall": 0.5521,
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+ "test_map_Face_Shield": 0.575,
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+ "test_map_Gloves": 0.3106,
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+ "test_map_Goggles": 0.1884,
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+ "test_map_Mask": 0.3449,
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+ "test_map_large": 0.6081,
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+ "test_map_medium": 0.2404,
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+ "test_map_small": 0.422,
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+ "test_mar_1": 0.3136,
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+ "test_mar_10": 0.5138,
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+ "test_mar_100": 0.5274,
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+ "test_mar_100_Coverall": 0.6711,
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+ "test_mar_100_Face_Shield": 0.7118,
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+ "test_mar_100_Gloves": 0.4459,
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+ "test_mar_100_Goggles": 0.3313,
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+ "test_mar_100_Mask": 0.4769,
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+ "test_mar_large": 0.7511,
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+ "test_mar_medium": 0.4155,
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+ "test_mar_small": 0.4541,
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+ "test_runtime": 2.2158,
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+ "test_samples_per_second": 13.088,
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+ "test_steps_per_second": 1.805,
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+ "total_flos": 1.643572308404736e+19,
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+ "train_loss": 0.5523391162123635,
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+ "train_runtime": 7636.311,
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+ "train_samples_per_second": 11.131,
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+ "train_steps_per_second": 1.401
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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": 1.7971552610397339,
4
+ "eval_map": 0.292,
5
+ "eval_map_50": 0.5823,
6
+ "eval_map_75": 0.2547,
7
+ "eval_map_Coverall": 0.5577,
8
+ "eval_map_Face_Shield": 0.2464,
9
+ "eval_map_Gloves": 0.187,
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+ "eval_map_Goggles": 0.2104,
11
+ "eval_map_Mask": 0.2586,
12
+ "eval_map_large": 0.5148,
13
+ "eval_map_medium": 0.2168,
14
+ "eval_map_small": 0.1715,
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+ "eval_mar_1": 0.2804,
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+ "eval_mar_10": 0.424,
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+ "eval_mar_100": 0.4447,
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+ "eval_mar_100_Coverall": 0.6631,
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+ "eval_mar_100_Face_Shield": 0.4152,
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+ "eval_mar_100_Gloves": 0.3964,
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+ "eval_mar_100_Goggles": 0.3615,
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+ "eval_mar_100_Mask": 0.3871,
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+ "eval_mar_large": 0.6949,
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+ "eval_mar_medium": 0.3795,
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+ "eval_mar_small": 0.224,
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+ "eval_runtime": 7.7617,
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+ "eval_samples_per_second": 19.326,
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+ "eval_steps_per_second": 2.448
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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": 1.587841272354126,
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+ "test_map": 0.3942,
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+ "test_map_50": 0.7048,
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+ "test_map_75": 0.3809,
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+ "test_map_Coverall": 0.5521,
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+ "test_map_Face_Shield": 0.575,
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+ "test_map_Gloves": 0.3106,
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+ "test_map_Goggles": 0.1884,
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+ "test_map_Mask": 0.3449,
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+ "test_map_large": 0.6081,
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+ "test_map_medium": 0.2404,
14
+ "test_map_small": 0.422,
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+ "test_mar_1": 0.3136,
16
+ "test_mar_10": 0.5138,
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+ "test_mar_100": 0.5274,
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+ "test_mar_100_Coverall": 0.6711,
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+ "test_mar_100_Face_Shield": 0.7118,
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+ "test_mar_100_Gloves": 0.4459,
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+ "test_mar_100_Goggles": 0.3313,
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+ "test_mar_100_Mask": 0.4769,
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+ "test_mar_large": 0.7511,
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+ "test_mar_medium": 0.4155,
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+ "test_mar_small": 0.4541,
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+ "test_runtime": 2.2158,
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+ "test_samples_per_second": 13.088,
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+ "test_steps_per_second": 1.805
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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": 1.643572308404736e+19,
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+ "train_loss": 0.5523391162123635,
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+ "train_runtime": 7636.311,
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+ "train_samples_per_second": 11.131,
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+ "train_steps_per_second": 1.401
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+ }
trainer_state.json ADDED
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