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End of training

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  1. README.md +78 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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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: detr_finetuned_cppe5
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # detr_finetuned_cppe5
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+
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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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+ - eval_loss: 2.4661
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+ - eval_map: 0.0201
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+ - eval_map_50: 0.0419
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+ - eval_map_75: 0.0181
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+ - eval_map_small: 0.0032
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+ - eval_map_medium: 0.0136
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+ - eval_map_large: 0.0217
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+ - eval_mar_1: 0.0572
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+ - eval_mar_10: 0.1253
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+ - eval_mar_100: 0.171
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+ - eval_mar_small: 0.0328
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+ - eval_mar_medium: 0.1024
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+ - eval_mar_large: 0.2571
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+ - eval_map_Coverall: 0.0886
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+ - eval_mar_100_Coverall: 0.5059
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+ - eval_map_Face_Shield: 0.0017
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+ - eval_mar_100_Face_Shield: 0.0114
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+ - eval_map_Gloves: 0.0037
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+ - eval_mar_100_Gloves: 0.1496
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+ - eval_map_Goggles: 0.0004
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+ - eval_mar_100_Goggles: 0.0092
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+ - eval_map_Mask: 0.0062
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+ - eval_mar_100_Mask: 0.1791
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+ - eval_runtime: 13.6158
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+ - eval_samples_per_second: 11.017
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+ - eval_steps_per_second: 1.395
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+ - epoch: 1.0
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+ - step: 107
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 30
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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