End of training
Browse files- README.md +26 -24
- all_results.json +60 -0
- eval_results.json +29 -0
- test_results.json +29 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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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-repro
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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/y96s266q)
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# facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad-repro
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Map: 0.
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- Map 50: 0.
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- Map 75: 0.
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- Map Small: 0.
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- Map Medium: 0.
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- Map Large: 0.
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- Mar 1: 0.
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- Mar 10: 0.
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- Mar 100: 0.
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- Mar Small: 0.
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- Mar Medium: 0.
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- Mar Large: 0.
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- Map Coverall: 0.
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- Mar 100 Coverall: 0.
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- Map Face Shield: 0.
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- Mar 100 Face Shield: 0.
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- Map Gloves: 0.
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- Mar 100 Gloves: 0.
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- Map Goggles: 0.
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- Mar 100 Goggles: 0.
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- Map Mask: 0.
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- Mar 100 Mask: 0.
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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-repro
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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/y96s266q)
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# facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad-repro
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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: 1.3283
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- Map: 0.2947
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- Map 50: 0.5809
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- Map 75: 0.2681
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- Map Small: 0.1583
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- Map Medium: 0.23
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- Map Large: 0.4971
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- Mar 1: 0.2972
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- Mar 10: 0.4633
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- Mar 100: 0.4771
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- Mar Small: 0.2237
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- Mar Medium: 0.4317
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- Mar Large: 0.7008
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- Map Coverall: 0.5445
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- Mar 100 Coverall: 0.6829
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- Map Face Shield: 0.2753
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- Mar 100 Face Shield: 0.4937
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- Map Gloves: 0.2028
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- Mar 100 Gloves: 0.4098
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- Map Goggles: 0.151
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- Mar 100 Goggles: 0.3938
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- Map Mask: 0.3002
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- Mar 100 Mask: 0.4053
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## Model description
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all_results.json
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{
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"epoch": 100.0,
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"eval_loss": 1.328338861465454,
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"eval_map": 0.2947,
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"eval_map_50": 0.5809,
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"eval_map_75": 0.2681,
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"eval_map_Coverall": 0.5445,
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"eval_map_Face_Shield": 0.2753,
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"eval_map_Gloves": 0.2028,
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"eval_map_Goggles": 0.151,
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"eval_map_Mask": 0.3002,
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"eval_map_large": 0.4971,
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"eval_map_medium": 0.23,
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"eval_map_small": 0.1583,
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"eval_mar_1": 0.2972,
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"eval_mar_10": 0.4633,
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"eval_mar_100": 0.4771,
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"eval_mar_100_Coverall": 0.6829,
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"eval_mar_100_Face_Shield": 0.4937,
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"eval_mar_100_Gloves": 0.4098,
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"eval_mar_100_Goggles": 0.3938,
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"eval_mar_100_Mask": 0.4053,
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"eval_mar_large": 0.7008,
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"eval_mar_medium": 0.4317,
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"eval_mar_small": 0.2237,
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"eval_runtime": 6.3011,
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"eval_samples_per_second": 23.805,
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"eval_steps_per_second": 3.015,
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"test_loss": 1.0668703317642212,
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"test_map": 0.4516,
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"test_map_50": 0.7874,
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"test_map_75": 0.4614,
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"test_map_Coverall": 0.6417,
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"test_map_Face_Shield": 0.536,
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"test_map_Gloves": 0.3737,
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"test_map_Goggles": 0.293,
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"test_map_Mask": 0.4137,
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"test_map_large": 0.6744,
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"test_map_medium": 0.3415,
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"test_map_small": 0.4057,
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"test_mar_1": 0.3473,
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"test_mar_10": 0.5856,
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"test_mar_100": 0.6007,
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"test_mar_100_Coverall": 0.7511,
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"test_mar_100_Face_Shield": 0.7176,
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"test_mar_100_Gloves": 0.4869,
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"test_mar_100_Goggles": 0.525,
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"test_mar_100_Mask": 0.5231,
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"test_mar_large": 0.8051,
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"test_mar_medium": 0.492,
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"test_mar_small": 0.4962,
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"test_runtime": 1.812,
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"test_samples_per_second": 16.005,
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"test_steps_per_second": 2.208,
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"total_flos": 2.28455679528e+19,
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"train_loss": 0.9858380618942119,
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"train_runtime": 5956.9501,
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"train_samples_per_second": 14.269,
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"train_steps_per_second": 1.796
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_loss": 1.328338861465454,
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"eval_map": 0.2947,
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"eval_map_50": 0.5809,
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"eval_map_75": 0.2681,
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"eval_map_Coverall": 0.5445,
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"eval_map_Face_Shield": 0.2753,
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"eval_map_Gloves": 0.2028,
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"eval_map_Goggles": 0.151,
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"eval_map_Mask": 0.3002,
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"eval_map_large": 0.4971,
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"eval_map_medium": 0.23,
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"eval_map_small": 0.1583,
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"eval_mar_1": 0.2972,
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"eval_mar_10": 0.4633,
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"eval_mar_100": 0.4771,
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"eval_mar_100_Coverall": 0.6829,
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"eval_mar_100_Face_Shield": 0.4937,
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"eval_mar_100_Gloves": 0.4098,
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"eval_mar_100_Goggles": 0.3938,
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"eval_mar_100_Mask": 0.4053,
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"eval_mar_large": 0.7008,
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"eval_mar_medium": 0.4317,
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"eval_mar_small": 0.2237,
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"eval_runtime": 6.3011,
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"eval_samples_per_second": 23.805,
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"eval_steps_per_second": 3.015
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}
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test_results.json
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{
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"epoch": 100.0,
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"test_loss": 1.0668703317642212,
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"test_map": 0.4516,
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"test_map_50": 0.7874,
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"test_map_75": 0.4614,
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"test_map_Coverall": 0.6417,
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"test_map_Face_Shield": 0.536,
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"test_map_Gloves": 0.3737,
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"test_map_Goggles": 0.293,
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"test_map_Mask": 0.4137,
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"test_map_large": 0.6744,
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"test_map_medium": 0.3415,
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"test_map_small": 0.4057,
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"test_mar_1": 0.3473,
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"test_mar_10": 0.5856,
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"test_mar_100": 0.6007,
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"test_mar_100_Coverall": 0.7511,
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"test_mar_100_Face_Shield": 0.7176,
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"test_mar_100_Gloves": 0.4869,
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"test_mar_100_Goggles": 0.525,
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"test_mar_100_Mask": 0.5231,
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"test_mar_large": 0.8051,
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"test_mar_medium": 0.492,
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"test_mar_small": 0.4962,
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"test_runtime": 1.812,
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"test_samples_per_second": 16.005,
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"test_steps_per_second": 2.208
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}
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train_results.json
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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": 0.9858380618942119,
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"train_runtime": 5956.9501,
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"train_samples_per_second": 14.269,
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"train_steps_per_second": 1.796
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}
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trainer_state.json
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