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: 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-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/0v3xmpkq)
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# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.3721
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- Map: 0.3104
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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: 8
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- eval_batch_size:
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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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-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/0v3xmpkq)
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# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5-manual-pad
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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: 1.3721
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- Map: 0.3104
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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: 8
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- eval_batch_size: 1
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- seed: 1337
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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all_results.json
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"eval_runtime": 6.5804,
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"eval_samples_per_second": 22.795,
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"eval_steps_per_second": 2.887,
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"test_loss": 1.
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"test_map": 0.
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"test_map_50": 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": 2.386038004919996e+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": 6.5804,
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"eval_samples_per_second": 22.795,
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"eval_steps_per_second": 2.887,
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"test_loss": 1.3375813961029053,
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"test_map": 0.3289,
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"test_map_50": 0.7113,
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"test_map_75": 0.2302,
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"test_map_Coverall": 0.5889,
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"test_map_Face_Shield": 0.4222,
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"test_map_Gloves": 0.2647,
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"test_map_medium": 0.2204,
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"test_mar_10": 0.4415,
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"test_mar_100": 0.4529,
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"test_mar_100_Coverall": 0.6956,
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"test_mar_100_Face_Shield": 0.5647,
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"test_mar_100_Gloves": 0.3705,
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"test_mar_100_Goggles": 0.2781,
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"test_mar_100_Mask": 0.3558,
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"test_mar_large": 0.6744,
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"test_mar_medium": 0.317,
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"test_mar_small": 0.2174,
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"test_runtime": 3.8247,
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"test_samples_per_second": 7.582,
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"test_steps_per_second": 7.582,
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"total_flos": 2.386038004919996e+19,
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"train_loss": 0.0,
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"train_runtime": 4.3704,
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"train_samples_per_second": 19448.902,
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"train_steps_per_second": 2448.274
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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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{
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"epoch": 100.0,
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"test_loss": 1.3375813961029053,
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"test_map": 0.3289,
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"test_map_50": 0.7113,
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"test_map_75": 0.2302,
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"test_map_Coverall": 0.5889,
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"test_map_Face_Shield": 0.4222,
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"test_map_medium": 0.2204,
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"test_mar_10": 0.4415,
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"test_mar_100": 0.4529,
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"test_mar_100_Coverall": 0.6956,
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"test_mar_medium": 0.317,
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"test_mar_small": 0.2174,
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"test_runtime": 3.8247,
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"test_samples_per_second": 7.582,
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"test_steps_per_second": 7.582
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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": 2.386038004919996e+19,
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{
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trainer_state.json
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"epoch": 100.0,
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"logging_steps": 500,
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"train_runtime": 4.3704,
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"train_samples_per_second": 19448.902,
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"logging_steps": 500,
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training_args.bin
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oid sha256:
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size 4987
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size 4987
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