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--- |
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base_model: jozhang97/deta-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: jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad |
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results: [] |
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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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[<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/8gh9gwk0) |
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# jozhang97-deta-resnet-50-finetuned-10k-cppe5-auto-pad |
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This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-resnet-50) on the cppe-5 dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 100.0 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.0 |
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