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--- |
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license: apache-2.0 |
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base_model: qgyd2021/detr_cppe5_object_detection |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cppe5 |
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model-index: |
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- name: detr_cppe5_object_detection |
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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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# detr_cppe5_object_detection |
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This model is a fine-tuned version of [qgyd2021/detr_cppe5_object_detection](https://huggingface.co/qgyd2021/detr_cppe5_object_detection) on the cppe5 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0746 |
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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: 1e-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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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8928 | 3.17 | 200 | 1.0594 | |
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| 0.8862 | 6.35 | 400 | 1.1216 | |
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| 0.8231 | 9.52 | 600 | 1.1138 | |
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| 0.786 | 12.7 | 800 | 1.0857 | |
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| 0.8132 | 15.87 | 1000 | 1.0550 | |
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| 0.8111 | 19.05 | 1200 | 1.0563 | |
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| 0.7927 | 22.22 | 1400 | 1.1003 | |
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| 0.7805 | 25.4 | 1600 | 1.0950 | |
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| 0.7332 | 28.57 | 1800 | 1.0746 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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