End of training
Browse files- README.md +24 -22
- 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-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/x8wu1piw)
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# facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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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: 0.2077
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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: 0.1173
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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-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/x8wu1piw)
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# facebook-detr-resnet-50-finetuned-10k-cppe5-auto-pad
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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: 1.3763
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- Map: 0.2829
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- Map 50: 0.5916
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- Map 75: 0.2359
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- Map Small: 0.1623
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- Map Medium: 0.2077
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- Map Large: 0.4793
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- Mar 1: 0.2809
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- Mar 10: 0.4454
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- Mar 100: 0.4571
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- Mar Small: 0.2381
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- Mar Medium: 0.3921
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- Mar Large: 0.6929
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- Map Coverall: 0.5515
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- Mar 100 Coverall: 0.6829
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- Map Face Shield: 0.2952
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- Mar 100 Face Shield: 0.4734
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- Map Gloves: 0.2003
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- Mar 100 Gloves: 0.3826
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- Map Goggles: 0.1173
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- Mar 100 Goggles: 0.3815
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- Map Mask: 0.25
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- Mar 100 Mask: 0.3649
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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": 1.3763102293014526,
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"eval_map": 0.2829,
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"eval_map_50": 0.5916,
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"eval_map_75": 0.2359,
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"eval_map_Coverall": 0.5515,
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"eval_map_Face_Shield": 0.2952,
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"eval_map_Gloves": 0.2003,
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"eval_map_Goggles": 0.1173,
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"eval_map_Mask": 0.25,
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"eval_map_large": 0.4793,
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"eval_map_medium": 0.2077,
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"eval_map_small": 0.1623,
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"eval_mar_1": 0.2809,
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"eval_mar_10": 0.4454,
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"eval_mar_100": 0.4571,
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"eval_mar_100_Coverall": 0.6829,
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"eval_mar_100_Face_Shield": 0.4734,
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"eval_mar_100_Gloves": 0.3826,
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"eval_mar_100_Goggles": 0.3815,
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"eval_mar_100_Mask": 0.3649,
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"eval_mar_large": 0.6929,
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"eval_mar_medium": 0.3921,
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"eval_mar_small": 0.2381,
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"eval_runtime": 5.9225,
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"eval_samples_per_second": 25.327,
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"eval_steps_per_second": 3.208,
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"test_loss": 1.2338895797729492,
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"test_map": 0.3953,
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"test_map_50": 0.7479,
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"test_map_75": 0.3573,
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"test_map_Coverall": 0.6538,
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"test_map_Face_Shield": 0.4816,
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"test_map_Gloves": 0.2747,
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"test_map_Goggles": 0.2368,
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"test_map_Mask": 0.3298,
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"test_map_large": 0.6567,
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"test_map_medium": 0.2724,
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"test_map_small": 0.3566,
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"test_mar_1": 0.3197,
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"test_mar_10": 0.5407,
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"test_mar_100": 0.5559,
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"test_mar_100_Coverall": 0.7556,
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"test_mar_100_Face_Shield": 0.7,
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"test_mar_100_Gloves": 0.4459,
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"test_mar_100_Goggles": 0.4375,
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"test_mar_100_Mask": 0.4404,
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"test_mar_large": 0.793,
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"test_mar_medium": 0.388,
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"test_mar_small": 0.4374,
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"test_runtime": 1.9935,
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"test_samples_per_second": 14.547,
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"test_steps_per_second": 2.007,
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"total_flos": 2.2505492746344178e+19,
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"train_loss": 1.1716438714143271,
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"train_runtime": 4951.8709,
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"train_samples_per_second": 17.165,
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"train_steps_per_second": 2.161
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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": 1.3763102293014526,
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"eval_map": 0.2829,
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"eval_map_50": 0.5916,
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"eval_map_75": 0.2359,
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"eval_map_Coverall": 0.5515,
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"eval_map_Face_Shield": 0.2952,
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"eval_map_Gloves": 0.2003,
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"eval_map_Goggles": 0.1173,
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"eval_map_Mask": 0.25,
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"eval_map_large": 0.4793,
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"eval_map_medium": 0.2077,
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"eval_map_small": 0.1623,
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"eval_mar_1": 0.2809,
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"eval_mar_10": 0.4454,
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"eval_mar_100": 0.4571,
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"eval_mar_100_Coverall": 0.6829,
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"eval_mar_100_Face_Shield": 0.4734,
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"eval_mar_100_Gloves": 0.3826,
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"eval_mar_100_Goggles": 0.3815,
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"eval_mar_100_Mask": 0.3649,
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"eval_mar_large": 0.6929,
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"eval_mar_medium": 0.3921,
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"eval_mar_small": 0.2381,
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"eval_runtime": 5.9225,
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"eval_samples_per_second": 25.327,
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"eval_steps_per_second": 3.208
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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": 1.2338895797729492,
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"test_map": 0.3953,
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"test_map_50": 0.7479,
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"test_map_75": 0.3573,
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"test_map_Coverall": 0.6538,
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"test_map_Face_Shield": 0.4816,
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"test_map_Gloves": 0.2747,
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"test_map_Goggles": 0.2368,
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"test_map_Mask": 0.3298,
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"test_map_large": 0.6567,
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"test_map_medium": 0.2724,
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"test_map_small": 0.3566,
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"test_mar_1": 0.3197,
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"test_mar_10": 0.5407,
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"test_mar_100": 0.5559,
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"test_mar_100_Coverall": 0.7556,
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"test_mar_100_Face_Shield": 0.7,
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"test_mar_100_Gloves": 0.4459,
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"test_mar_100_Goggles": 0.4375,
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"test_mar_100_Mask": 0.4404,
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"test_mar_large": 0.793,
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"test_mar_medium": 0.388,
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"test_mar_small": 0.4374,
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"test_runtime": 1.9935,
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"test_samples_per_second": 14.547,
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"test_steps_per_second": 2.007
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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": 2.2505492746344178e+19,
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"train_loss": 1.1716438714143271,
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"train_runtime": 4951.8709,
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"train_samples_per_second": 17.165,
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"train_steps_per_second": 2.161
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}
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trainer_state.json
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