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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 |
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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 |
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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: 0.8756 |
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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: 16 |
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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: 2 |
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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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| 1.7508 | 0.16 | 300 | 1.7472 | |
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| 1.412 | 0.32 | 600 | 1.3611 | |
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| 1.2549 | 0.48 | 900 | 1.1682 | |
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| 1.0701 | 0.64 | 1200 | 1.0696 | |
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| 0.9812 | 0.8 | 1500 | 1.0103 | |
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| 1.0346 | 0.96 | 1800 | 0.9782 | |
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| 1.014 | 1.12 | 2100 | 0.9429 | |
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| 0.9691 | 1.28 | 2400 | 0.9248 | |
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| 0.9749 | 1.44 | 2700 | 0.8947 | |
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| 0.9707 | 1.6 | 3000 | 0.8887 | |
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| 0.938 | 1.76 | 3300 | 0.8889 | |
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| 0.9477 | 1.92 | 3600 | 0.8756 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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