qubvel-hf HF staff commited on
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1 Parent(s): 7f32daa

End of training

Browse files
README.md CHANGED
@@ -1,6 +1,8 @@
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  ---
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  base_model: jozhang97/deta-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: jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
@@ -13,31 +15,31 @@ 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/pw3c0sr5)
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  # jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
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- This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6173
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- - Map: 0.1965
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- - Map 50: 0.4335
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- - Map 75: 0.1626
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- - Map Small: 0.0855
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- - Map Medium: 0.1284
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- - Map Large: 0.3222
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- - Mar 1: 0.2092
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- - Mar 10: 0.3167
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- - Mar 100: 0.3327
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- - Mar Small: 0.1181
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- - Mar Medium: 0.2784
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- - Mar Large: 0.5071
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- - Map Coverall: 0.4181
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- - Mar 100 Coverall: 0.5347
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- - Map Face Shield: 0.227
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- - Mar 100 Face Shield: 0.3633
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- - Map Gloves: 0.0765
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- - Mar 100 Gloves: 0.2134
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- - Map Goggles: 0.1245
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- - Mar 100 Goggles: 0.2523
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- - Map Mask: 0.1363
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- - Mar 100 Mask: 0.3
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  ## Model description
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  ---
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  base_model: jozhang97/deta-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: jozhang97-deta-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/pw3c0sr5)
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  # jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad
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+ This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-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: 1.6197
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+ - Map: 0.1981
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+ - Map 50: 0.434
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+ - Map 75: 0.1623
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+ - Map Small: 0.0801
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+ - Map Medium: 0.1333
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+ - Map Large: 0.3217
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+ - Mar 1: 0.2118
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+ - Mar 10: 0.3156
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+ - Mar 100: 0.3333
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+ - Mar Small: 0.1156
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+ - Mar Medium: 0.2789
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+ - Mar Large: 0.5084
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+ - Map Coverall: 0.4266
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+ - Mar 100 Coverall: 0.5446
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+ - Map Face Shield: 0.2284
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+ - Mar 100 Face Shield: 0.3658
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+ - Map Gloves: 0.0771
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+ - Mar 100 Gloves: 0.2098
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+ - Map Goggles: 0.1232
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+ - Mar 100 Goggles: 0.2477
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+ - Map Mask: 0.1352
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+ - Mar 100 Mask: 0.2987
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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": 1.6197102069854736,
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+ "eval_map": 0.1981,
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+ "eval_map_50": 0.434,
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+ "eval_map_75": 0.1623,
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+ "eval_map_Coverall": 0.4266,
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+ "eval_map_Face_Shield": 0.2284,
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+ "eval_map_Gloves": 0.0771,
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+ "eval_map_Goggles": 0.1232,
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+ "eval_map_Mask": 0.1352,
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+ "eval_map_large": 0.3217,
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+ "eval_map_medium": 0.1333,
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+ "eval_map_small": 0.0801,
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+ "eval_mar_1": 0.2118,
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+ "eval_mar_10": 0.3156,
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+ "eval_mar_100": 0.3333,
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+ "eval_mar_100_Coverall": 0.5446,
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+ "eval_mar_100_Face_Shield": 0.3658,
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+ "eval_mar_100_Gloves": 0.2098,
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+ "eval_mar_100_Goggles": 0.2477,
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+ "eval_mar_100_Mask": 0.2987,
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+ "eval_mar_large": 0.5084,
24
+ "eval_mar_medium": 0.2789,
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+ "eval_mar_small": 0.1156,
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+ "eval_runtime": 21.4083,
27
+ "eval_samples_per_second": 7.007,
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+ "eval_steps_per_second": 0.888,
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+ "test_loss": 1.6902095079421997,
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+ "test_map": 0.264,
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+ "test_map_50": 0.559,
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+ "test_map_75": 0.2055,
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+ "test_map_Coverall": 0.4752,
34
+ "test_map_Face_Shield": 0.4395,
35
+ "test_map_Gloves": 0.0822,
36
+ "test_map_Goggles": 0.1197,
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+ "test_map_Mask": 0.2037,
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+ "test_map_large": 0.3582,
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+ "test_map_medium": 0.1795,
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+ "test_map_small": 0.2979,
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+ "test_mar_1": 0.2365,
42
+ "test_mar_10": 0.3811,
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+ "test_mar_100": 0.4012,
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+ "test_mar_100_Coverall": 0.5689,
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+ "test_mar_100_Face_Shield": 0.5882,
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+ "test_mar_100_Gloves": 0.2295,
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+ "test_mar_100_Goggles": 0.2656,
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+ "test_mar_100_Mask": 0.3538,
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+ "test_mar_large": 0.5382,
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+ "test_mar_medium": 0.3294,
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+ "test_mar_small": 0.3411,
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+ "test_runtime": 4.6886,
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+ "test_samples_per_second": 6.185,
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+ "test_steps_per_second": 0.853,
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+ "total_flos": 2.4566240955078824e+19,
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+ "train_loss": 1.7565026848271208,
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+ "train_runtime": 21477.6558,
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+ "train_samples_per_second": 3.958,
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+ "train_steps_per_second": 0.494
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+ }
eval_results.json ADDED
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+ {
2
+ "epoch": 99.53051643192488,
3
+ "eval_loss": 1.6197102069854736,
4
+ "eval_map": 0.1981,
5
+ "eval_map_50": 0.434,
6
+ "eval_map_75": 0.1623,
7
+ "eval_map_Coverall": 0.4266,
8
+ "eval_map_Face_Shield": 0.2284,
9
+ "eval_map_Gloves": 0.0771,
10
+ "eval_map_Goggles": 0.1232,
11
+ "eval_map_Mask": 0.1352,
12
+ "eval_map_large": 0.3217,
13
+ "eval_map_medium": 0.1333,
14
+ "eval_map_small": 0.0801,
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+ "eval_mar_1": 0.2118,
16
+ "eval_mar_10": 0.3156,
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+ "eval_mar_100": 0.3333,
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+ "eval_mar_100_Coverall": 0.5446,
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+ "eval_mar_100_Face_Shield": 0.3658,
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+ "eval_mar_100_Gloves": 0.2098,
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+ "eval_mar_100_Goggles": 0.2477,
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+ "eval_mar_100_Mask": 0.2987,
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+ "eval_mar_large": 0.5084,
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+ "eval_mar_medium": 0.2789,
25
+ "eval_mar_small": 0.1156,
26
+ "eval_runtime": 21.4083,
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+ "eval_samples_per_second": 7.007,
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+ "eval_steps_per_second": 0.888
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+ }
test_results.json ADDED
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+ {
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+ "epoch": 99.53051643192488,
3
+ "test_loss": 1.6902095079421997,
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+ "test_map": 0.264,
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+ "test_map_50": 0.559,
6
+ "test_map_75": 0.2055,
7
+ "test_map_Coverall": 0.4752,
8
+ "test_map_Face_Shield": 0.4395,
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+ "test_map_Gloves": 0.0822,
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+ "test_map_Goggles": 0.1197,
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+ "test_map_Mask": 0.2037,
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+ "test_map_large": 0.3582,
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+ "test_map_medium": 0.1795,
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+ "test_map_small": 0.2979,
15
+ "test_mar_1": 0.2365,
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+ "test_mar_10": 0.3811,
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+ "test_mar_100": 0.4012,
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+ "test_mar_100_Coverall": 0.5689,
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+ "test_mar_100_Face_Shield": 0.5882,
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+ "test_mar_100_Gloves": 0.2295,
21
+ "test_mar_100_Goggles": 0.2656,
22
+ "test_mar_100_Mask": 0.3538,
23
+ "test_mar_large": 0.5382,
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+ "test_mar_medium": 0.3294,
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+ "test_mar_small": 0.3411,
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+ "test_runtime": 4.6886,
27
+ "test_samples_per_second": 6.185,
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+ "test_steps_per_second": 0.853
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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": 2.4566240955078824e+19,
4
+ "train_loss": 1.7565026848271208,
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+ "train_runtime": 21477.6558,
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+ "train_samples_per_second": 3.958,
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+ "train_steps_per_second": 0.494
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+ }
trainer_state.json ADDED
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