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End of training

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Files changed (5) hide show
  1. README.md +3 -1
  2. all_results.json +34 -0
  3. test_results.json +29 -0
  4. train_results.json +8 -0
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -2,6 +2,8 @@
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  license: apache-2.0
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  base_model: microsoft/conditional-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: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
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- This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-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: 1.3007
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  - Map: 0.3131
 
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  license: apache-2.0
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  base_model: microsoft/conditional-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: microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
 
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  # microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
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+ This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-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: 1.3007
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  - Map: 0.3131
all_results.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 100.0,
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+ "test_loss": 1.251983642578125,
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+ "test_map": 0.3724,
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+ "test_map_50": 0.7139,
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+ "test_map_75": 0.352,
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+ "test_map_Coverall": 0.4794,
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+ "test_map_Face_Shield": 0.5333,
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+ "test_map_Gloves": 0.296,
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+ "test_map_Goggles": 0.2303,
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+ "test_map_Mask": 0.3231,
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+ "test_map_large": 0.5091,
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+ "test_map_medium": 0.2699,
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+ "test_map_small": 0.3605,
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+ "test_mar_1": 0.311,
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+ "test_mar_10": 0.4916,
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+ "test_mar_100": 0.5086,
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+ "test_mar_100_Coverall": 0.6667,
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+ "test_mar_100_Face_Shield": 0.6471,
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+ "test_mar_100_Gloves": 0.4119,
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+ "test_mar_100_Goggles": 0.3724,
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+ "test_mar_100_Mask": 0.4451,
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+ "test_mar_large": 0.6539,
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+ "test_mar_medium": 0.3576,
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+ "test_mar_small": 0.4568,
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+ "test_runtime": 1.8523,
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+ "test_samples_per_second": 15.656,
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+ "test_steps_per_second": 2.159,
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+ "total_flos": 2.348236837426151e+19,
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+ "train_loss": 1.1717472315280237,
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+ "train_runtime": 5513.4032,
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+ "train_samples_per_second": 15.417,
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+ "train_steps_per_second": 1.941
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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": 1.251983642578125,
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+ "test_map": 0.3724,
5
+ "test_map_50": 0.7139,
6
+ "test_map_75": 0.352,
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+ "test_map_Coverall": 0.4794,
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+ "test_map_Face_Shield": 0.5333,
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+ "test_map_Gloves": 0.296,
10
+ "test_map_Goggles": 0.2303,
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+ "test_map_Mask": 0.3231,
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+ "test_map_large": 0.5091,
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+ "test_map_medium": 0.2699,
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+ "test_map_small": 0.3605,
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+ "test_mar_1": 0.311,
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+ "test_mar_10": 0.4916,
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+ "test_mar_100": 0.5086,
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+ "test_mar_100_Coverall": 0.6667,
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+ "test_mar_100_Face_Shield": 0.6471,
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+ "test_mar_100_Gloves": 0.4119,
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+ "test_mar_100_Goggles": 0.3724,
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+ "test_mar_100_Mask": 0.4451,
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+ "test_mar_large": 0.6539,
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+ "test_mar_medium": 0.3576,
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+ "test_mar_small": 0.4568,
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+ "test_runtime": 1.8523,
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+ "test_samples_per_second": 15.656,
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+ "test_steps_per_second": 2.159
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 100.0,
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+ "total_flos": 2.348236837426151e+19,
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+ "train_loss": 1.1717472315280237,
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+ "train_runtime": 5513.4032,
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+ "train_samples_per_second": 15.417,
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+ "train_steps_per_second": 1.941
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+ }
trainer_state.json ADDED
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