End of training
Browse files- README.md +4 -2
- all_results.json +30 -30
- test_results.json +26 -26
- train_results.json +4 -4
- trainer_state.json +4 -4
- training_args.bin +1 -1
README.md
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license: apache-2.0
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base_model: SenseTime/deformable-detr
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tags:
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- generated_from_trainer
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model-index:
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- name: sensetime-deformable-detr-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/tmhaicli)
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# sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad
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This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on
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It achieves the following results on the evaluation set:
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- Loss: 1.0442
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- Map: 0.3514
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size:
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- seed: 1337
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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license: apache-2.0
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base_model: SenseTime/deformable-detr
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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: sensetime-deformable-detr-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/tmhaicli)
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# sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad
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This model is a fine-tuned version of [SenseTime/deformable-detr](https://huggingface.co/SenseTime/deformable-detr) on the cppe-5 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0442
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- Map: 0.3514
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 1337
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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all_results.json
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"eval_runtime": 15.6632,
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"eval_samples_per_second": 9.577,
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"eval_steps_per_second": 1.213,
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"test_loss":
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"test_map": 0.
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"test_map_50": 0.
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"test_map_75": 0.
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"test_map_Coverall": 0.
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"test_runtime":
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"test_samples_per_second":
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"test_steps_per_second":
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"total_flos": 2.1870706694064443e+19,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"eval_runtime": 15.6632,
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"eval_samples_per_second": 9.577,
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"eval_steps_per_second": 1.213,
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"test_loss": 1.2813646793365479,
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"test_map": 0.3392,
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"test_map_50": 0.8178,
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"test_map_75": 0.1342,
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"test_map_Coverall": 0.4236,
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"test_map_Face_Shield": 0.366,
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"test_map_Gloves": 0.3146,
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"test_map_Goggles": 0.2668,
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"test_map_Mask": 0.325,
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"test_map_large": 0.4557,
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"test_map_medium": 0.3312,
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"test_map_small": 0.3208,
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"test_mar_1": 0.2457,
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"test_mar_10": 0.4543,
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"test_mar_100": 0.4723,
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"test_mar_100_Coverall": 0.5733,
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"test_mar_100_Face_Shield": 0.5176,
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"test_mar_100_Gloves": 0.4148,
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"test_mar_100_Goggles": 0.425,
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"test_mar_100_Mask": 0.4308,
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"test_mar_large": 0.5709,
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"test_mar_medium": 0.4222,
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"test_mar_small": 0.3702,
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"test_runtime": 5.3874,
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"test_samples_per_second": 5.383,
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"test_steps_per_second": 5.383,
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"total_flos": 2.1870706694064443e+19,
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"train_loss": 0.0,
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"train_runtime": 2.9311,
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"train_samples_per_second": 28998.867,
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"train_steps_per_second": 3616.329
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}
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test_results.json
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"epoch": 99.53051643192488,
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"test_loss": 1.2813646793365479,
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"test_map": 0.3392,
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"test_map_50": 0.8178,
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"test_map_75": 0.1342,
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"test_map_Coverall": 0.4236,
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"test_map_Face_Shield": 0.366,
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"test_map_large": 0.4557,
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"test_map_medium": 0.3312,
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"test_map_small": 0.3208,
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"test_mar_1": 0.2457,
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"test_mar_10": 0.4543,
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"test_mar_100": 0.4723,
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"test_mar_100_Coverall": 0.5733,
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"test_mar_100_Face_Shield": 0.5176,
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"test_mar_100_Gloves": 0.4148,
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"test_mar_100_Mask": 0.4308,
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"test_mar_large": 0.5709,
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"test_mar_medium": 0.4222,
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"test_mar_small": 0.3702,
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"test_runtime": 5.3874,
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"test_samples_per_second": 5.383,
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"test_steps_per_second": 5.383
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}
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train_results.json
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{
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"total_flos": 2.1870706694064443e+19,
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trainer_state.json
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"logging_steps": 500,
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training_args.bin
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oid sha256:
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