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--- |
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license: apache-2.0 |
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base_model: facebook/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-r50-mist1-bg-8ah-6l |
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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-r50-mist1-bg-8ah-6l |
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1031 |
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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: 4 |
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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: linear |
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- num_epochs: 25 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.6794 | 1.0 | 115 | 2.8222 | |
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| 3.0269 | 2.0 | 230 | 2.8120 | |
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| 2.8681 | 3.0 | 345 | 2.7980 | |
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| 2.752 | 4.0 | 460 | 2.4853 | |
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| 2.7715 | 5.0 | 575 | 2.4140 | |
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| 2.6846 | 6.0 | 690 | 2.4715 | |
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| 2.6236 | 7.0 | 805 | 2.4614 | |
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| 2.5318 | 8.0 | 920 | 2.3441 | |
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| 2.5224 | 9.0 | 1035 | 2.2837 | |
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| 2.4661 | 10.0 | 1150 | 2.2510 | |
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| 2.4313 | 11.0 | 1265 | 2.3339 | |
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| 2.4125 | 12.0 | 1380 | 2.2957 | |
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| 2.4113 | 13.0 | 1495 | 2.2358 | |
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| 2.3784 | 14.0 | 1610 | 2.2635 | |
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| 2.3199 | 15.0 | 1725 | 2.2320 | |
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| 2.3321 | 16.0 | 1840 | 2.2250 | |
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| 2.3305 | 17.0 | 1955 | 2.2020 | |
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| 2.2932 | 18.0 | 2070 | 2.1826 | |
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| 2.2952 | 19.0 | 2185 | 2.1626 | |
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| 2.2663 | 20.0 | 2300 | 2.1573 | |
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| 2.2916 | 21.0 | 2415 | 2.1653 | |
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| 2.2703 | 22.0 | 2530 | 2.1444 | |
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| 2.2431 | 23.0 | 2645 | 2.1374 | |
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| 2.2243 | 24.0 | 2760 | 2.1276 | |
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| 2.2413 | 25.0 | 2875 | 2.1031 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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